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+10.[[:space:]]Data[[:space:]]Augmentation[[:space:]]Cats[[:space:]]vs[[:space:]]Dogs/3.[[:space:]]Train[[:space:]]a[[:space:]]Cats[[:space:]]vs.[[:space:]]Dogs[[:space:]]Classifier.mp4 filter=lfs diff=lfs merge=lfs -text +10.[[:space:]]Data[[:space:]]Augmentation[[:space:]]Cats[[:space:]]vs[[:space:]]Dogs/5.[[:space:]]Types[[:space:]]of[[:space:]]Data[[:space:]]Augmentation.mp4 filter=lfs diff=lfs merge=lfs -text +11.[[:space:]]Confusion[[:space:]]Matrix[[:space:]]and[[:space:]]Viewing[[:space:]]Misclassifications/MNIST_history.pickle filter=lfs diff=lfs merge=lfs -text +10.[[:space:]]Data[[:space:]]Augmentation[[:space:]]Cats[[:space:]]vs[[:space:]]Dogs/2.[[:space:]]Splitting[[:space:]]Data[[:space:]]into[[:space:]]Test[[:space:]]and[[:space:]]Training[[:space:]]Datasets.mp4 filter=lfs diff=lfs merge=lfs -text +12.[[:space:]]Optimizers,[[:space:]]Learning[[:space:]]Rates[[:space:]]&[[:space:]]Callbacks[[:space:]]with[[:space:]]Fruit[[:space:]]Classification/1.[[:space:]]Introduction[[:space:]]to[[:space:]]the[[:space:]]types[[:space:]]of[[:space:]]Optimizers,[[:space:]]Learning[[:space:]]Rates[[:space:]]&[[:space:]]Callbacks.mp4 filter=lfs diff=lfs merge=lfs -text +11.[[:space:]]Assessing[[:space:]]Model[[:space:]]Performance/3.[[:space:]]Finding[[:space:]]and[[:space:]]Viewing[[:space:]]Misclassified[[:space:]]Data.mp4 filter=lfs diff=lfs merge=lfs -text +11.[[:space:]]Assessing[[:space:]]Model[[:space:]]Performance/2.[[:space:]]Understanding[[:space:]]the[[:space:]]Confusion[[:space:]]Matrix.mp4 filter=lfs diff=lfs merge=lfs -text +13.[[:space:]]Batch[[:space:]]Normalization[[:space:]]&[[:space:]]LeNet,[[:space:]]AlexNet[[:space:]]Clothing[[:space:]]Classifier/1.[[:space:]]Intro[[:space:]]to[[:space:]]Building[[:space:]]LeNet,[[:space:]]AlexNet[[:space:]]in[[:space:]]Keras[[:space:]]&[[:space:]]Understand[[:space:]]Batch[[:space:]]Normalization.mp4 filter=lfs diff=lfs merge=lfs -text +12.[[:space:]]Optimizers,[[:space:]]Learning[[:space:]]Rates[[:space:]]&[[:space:]]Callbacks[[:space:]]with[[:space:]]Fruit[[:space:]]Classification/3.[[:space:]]Keras[[:space:]]Callbacks[[:space:]]and[[:space:]]Checkpoint,[[:space:]]Early[[:space:]]Stopping[[:space:]]and[[:space:]]Adjust[[:space:]]Learning[[:space:]]Rates[[:space:]]that[[:space:]]Pl.mp4 filter=lfs diff=lfs merge=lfs -text +12.[[:space:]]Optimizers,[[:space:]]Learning[[:space:]]Rates[[:space:]]&[[:space:]]Callbacks[[:space:]]with[[:space:]]Fruit[[:space:]]Classification/2.[[:space:]]Types[[:space:]]Optimizers[[:space:]]and[[:space:]]Adaptive[[:space:]]Learning[[:space:]]Rate[[:space:]]Methods.mp4 filter=lfs diff=lfs merge=lfs -text +13.[[:space:]]Batch[[:space:]]Normalization[[:space:]]&[[:space:]]LeNet,[[:space:]]AlexNet[[:space:]]Clothing[[:space:]]Classifier/2.[[:space:]]Build[[:space:]]LeNet[[:space:]]and[[:space:]]test[[:space:]]on[[:space:]]MNIST.mp4 filter=lfs diff=lfs merge=lfs -text +13.[[:space:]]Batch[[:space:]]Normalization[[:space:]]&[[:space:]]LeNet,[[:space:]]AlexNet[[:space:]]Clothing[[:space:]]Classifier/4.[[:space:]]Batch[[:space:]]Normalization.mp4 filter=lfs diff=lfs merge=lfs -text +12.[[:space:]]Optimizers,[[:space:]]Learning[[:space:]]Rates[[:space:]]&[[:space:]]Callbacks[[:space:]]with[[:space:]]Fruit[[:space:]]Classification/4.[[:space:]]Build[[:space:]]a[[:space:]]Fruit[[:space:]]Classifier.mp4 filter=lfs diff=lfs merge=lfs -text +13.[[:space:]]Batch[[:space:]]Normalization[[:space:]]&[[:space:]]LeNet,[[:space:]]AlexNet[[:space:]]Clothing[[:space:]]Classifier/3.[[:space:]]Build[[:space:]]AlexNet[[:space:]]and[[:space:]]test[[:space:]]on[[:space:]]CIFAR10.mp4 filter=lfs diff=lfs merge=lfs -text +14.[[:space:]]Advanced[[:space:]]Image[[:space:]]Classiers[[:space:]]-[[:space:]]ImageNet[[:space:]]in[[:space:]]Keras[[:space:]](VGG1619,[[:space:]]InceptionV3,[[:space:]]ResNet50)/1.[[:space:]]Chapter[[:space:]]Introduction.mp4 filter=lfs diff=lfs merge=lfs -text +14.[[:space:]]Advanced[[:space:]]Image[[:space:]]Classiers[[:space:]]-[[:space:]]ImageNet[[:space:]]in[[:space:]]Keras[[:space:]](VGG1619,[[:space:]]InceptionV3,[[:space:]]ResNet50)/4.[[:space:]]Understanding[[:space:]]ResNet50.mp4 filter=lfs diff=lfs merge=lfs -text +14.[[:space:]]Advanced[[:space:]]Image[[:space:]]Classiers[[:space:]]-[[:space:]]ImageNet[[:space:]]in[[:space:]]Keras[[:space:]](VGG1619,[[:space:]]InceptionV3,[[:space:]]ResNet50)/3.[[:space:]]Understanding[[:space:]]VGG16[[:space:]]and[[:space:]]VGG19.mp4 filter=lfs diff=lfs merge=lfs -text +15.[[:space:]]Transfer[[:space:]]Learning[[:space:]]Build[[:space:]]a[[:space:]]Flower[[:space:]]&[[:space:]]Monkey[[:space:]]Breed[[:space:]]Classifier/1.[[:space:]]Chapter[[:space:]]Introduction.mp4 filter=lfs diff=lfs merge=lfs -text +14.[[:space:]]Advanced[[:space:]]Image[[:space:]]Classiers[[:space:]]-[[:space:]]ImageNet[[:space:]]in[[:space:]]Keras[[:space:]](VGG1619,[[:space:]]InceptionV3,[[:space:]]ResNet50)/5.[[:space:]]Understanding[[:space:]]InceptionV3.mp4 filter=lfs diff=lfs merge=lfs -text +14.[[:space:]]Advanced[[:space:]]Image[[:space:]]Classiers[[:space:]]-[[:space:]]ImageNet[[:space:]]in[[:space:]]Keras[[:space:]](VGG1619,[[:space:]]InceptionV3,[[:space:]]ResNet50)/2.[[:space:]]ImageNet[[:space:]]-[[:space:]]Experimenting[[:space:]]with[[:space:]]pre-trained[[:space:]]Models[[:space:]]in[[:space:]]Keras[[:space:]](VGG16,[[:space:]]ResNet50,[[:space:]]Mobi.mp4 filter=lfs diff=lfs merge=lfs -text +16.[[:space:]]Design[[:space:]]Your[[:space:]]Own[[:space:]]CNN[[:space:]]-[[:space:]]LittleVGG/LittleVGG.png filter=lfs diff=lfs merge=lfs -text +15.[[:space:]]Transfer[[:space:]]Learning[[:space:]]Build[[:space:]]a[[:space:]]Flower[[:space:]]&[[:space:]]Monkey[[:space:]]Breed[[:space:]]Classifier/2.[[:space:]]What[[:space:]]is[[:space:]]Transfer[[:space:]]Learning[[:space:]]and[[:space:]][[:space:]]Fine[[:space:]]Tuning.mp4 filter=lfs diff=lfs merge=lfs -text +16.[[:space:]]Design[[:space:]]Your[[:space:]]Own[[:space:]]CNN[[:space:]]-[[:space:]]LittleVGG[[:space:]]A[[:space:]]Simpsons[[:space:]]Classifier/1.[[:space:]]Chapter[[:space:]]Introduction.mp4 filter=lfs diff=lfs merge=lfs -text +16.[[:space:]]Design[[:space:]]Your[[:space:]]Own[[:space:]]CNN[[:space:]]-[[:space:]]LittleVGG[[:space:]]A[[:space:]]Simpsons[[:space:]]Classifier/2.[[:space:]]Introducing[[:space:]]LittleVGG.mp4 filter=lfs diff=lfs merge=lfs -text +17.[[:space:]]Advanced[[:space:]]Activation[[:space:]]Functions[[:space:]]&[[:space:]]Initializations/1.[[:space:]]Chapter[[:space:]]Introduction.mp4 filter=lfs diff=lfs merge=lfs -text +15.[[:space:]]Transfer[[:space:]]Learning[[:space:]]Build[[:space:]]a[[:space:]]Flower[[:space:]]&[[:space:]]Monkey[[:space:]]Breed[[:space:]]Classifier/4.[[:space:]]Build[[:space:]]a[[:space:]]Flower[[:space:]]Classifier[[:space:]]with[[:space:]]VGG16[[:space:]]using[[:space:]]Transfer[[:space:]]Learning.mp4 filter=lfs diff=lfs merge=lfs -text +15.[[:space:]]Transfer[[:space:]]Learning[[:space:]]Build[[:space:]]a[[:space:]]Flower[[:space:]]&[[:space:]]Monkey[[:space:]]Breed[[:space:]]Classifier/3.[[:space:]]Build[[:space:]]a[[:space:]]Monkey[[:space:]]Breed[[:space:]]Classifier[[:space:]]with[[:space:]]MobileNet[[:space:]]using[[:space:]]Transfer[[:space:]]Learning.mp4 filter=lfs diff=lfs merge=lfs -text +17.[[:space:]]Advanced[[:space:]]Activation[[:space:]]Functions[[:space:]]&[[:space:]]Initializations/3.[[:space:]]Advanced[[:space:]]Initializations.mp4 filter=lfs diff=lfs merge=lfs -text +17.[[:space:]]Advanced[[:space:]]Activation[[:space:]]Functions[[:space:]]&[[:space:]]Initializations/2.[[:space:]]Dying[[:space:]]ReLU[[:space:]]Problem[[:space:]]and[[:space:]]Introduction[[:space:]]to[[:space:]]Leaky[[:space:]]ReLU,[[:space:]]ELU[[:space:]]and[[:space:]]PReLUs.mp4 filter=lfs diff=lfs merge=lfs -text +18.[[:space:]]Facial[[:space:]]Applications[[:space:]]-[[:space:]]Emotion,[[:space:]]Age[[:space:]]&[[:space:]]Gender[[:space:]]Recognition/1.[[:space:]]Chapter[[:space:]]Introduction.mp4 filter=lfs diff=lfs merge=lfs -text +16.[[:space:]]Design[[:space:]]Your[[:space:]]Own[[:space:]]CNN[[:space:]]-[[:space:]]LittleVGG[[:space:]]A[[:space:]]Simpsons[[:space:]]Classifier/3.[[:space:]]Simpsons[[:space:]]Character[[:space:]]Recognition[[:space:]]using[[:space:]]LittleVGG.mp4 filter=lfs diff=lfs merge=lfs -text +19.[[:space:]]Medical[[:space:]]Imaging[[:space:]]-[[:space:]]Image[[:space:]]Segmentation[[:space:]]with[[:space:]]U-Net/1.[[:space:]]Chapter[[:space:]]Overview[[:space:]]on[[:space:]]Image[[:space:]]Segmentation[[:space:]]&[[:space:]]Medical[[:space:]]Imaging[[:space:]]in[[:space:]]U-Net.mp4 filter=lfs diff=lfs merge=lfs -text +12.[[:space:]]Optimizers,[[:space:]]Learning[[:space:]]Rates[[:space:]]&[[:space:]]Callbacks[[:space:]]with[[:space:]]Fruit[[:space:]]Classification/4.2[[:space:]]fruits-360.tar.gz filter=lfs diff=lfs merge=lfs -text +19.[[:space:]]Medical[[:space:]]Imaging[[:space:]]-[[:space:]]Image[[:space:]]Segmentation[[:space:]]with[[:space:]]U-Net/2.[[:space:]]What[[:space:]]is[[:space:]]Segmentation[[:space:]]And[[:space:]]Applications[[:space:]]in[[:space:]]Medical[[:space:]]Imaging.mp4 filter=lfs diff=lfs merge=lfs -text +19.[[:space:]]Medical[[:space:]]Imaging[[:space:]]-[[:space:]]Image[[:space:]]Segmentation[[:space:]]with[[:space:]]U-Net/3.[[:space:]]U-Net[[:space:]]Image[[:space:]]Segmentation[[:space:]]with[[:space:]]CNNs.mp4 filter=lfs diff=lfs merge=lfs -text +19.[[:space:]]Medical[[:space:]]Imaging[[:space:]]-[[:space:]]Image[[:space:]]Segmentation[[:space:]]with[[:space:]]U-Net/4.[[:space:]]The[[:space:]]Intersection[[:space:]]over[[:space:]]Union[[:space:]](IoU)[[:space:]]Metric.mp4 filter=lfs diff=lfs merge=lfs -text +20.[[:space:]]Principles[[:space:]]of[[:space:]]Object[[:space:]]Detection/1.[[:space:]]Chapter[[:space:]]Introduction.mp4 filter=lfs diff=lfs merge=lfs -text +20.[[:space:]]Principles[[:space:]]of[[:space:]]Object[[:space:]]Detection/4.[[:space:]]Single[[:space:]]Shot[[:space:]]Detectors[[:space:]](SSDs).mp4 filter=lfs diff=lfs merge=lfs -text +20.[[:space:]]Principles[[:space:]]of[[:space:]]Object[[:space:]]Detection/2.[[:space:]]Object[[:space:]]Detection[[:space:]]Introduction[[:space:]]-[[:space:]]Sliding[[:space:]]Windows[[:space:]]with[[:space:]]HOGs.mp4 filter=lfs diff=lfs merge=lfs -text +18.[[:space:]]Facial[[:space:]]Applications[[:space:]]-[[:space:]]Emotion,[[:space:]]Age[[:space:]]&[[:space:]]Gender[[:space:]]Recognition/2.[[:space:]]Build[[:space:]]an[[:space:]]Emotion,[[:space:]]Facial[[:space:]]Expression[[:space:]]Detector.mp4 filter=lfs diff=lfs merge=lfs -text +21.[[:space:]]TensorFlow[[:space:]]Object[[:space:]]Detection[[:space:]]API/1.[[:space:]]Chapter[[:space:]]Introduction.mp4 filter=lfs diff=lfs merge=lfs -text +20.[[:space:]]Principles[[:space:]]of[[:space:]]Object[[:space:]]Detection/5.[[:space:]]YOLO[[:space:]]to[[:space:]]YOLOv3.mp4 filter=lfs diff=lfs merge=lfs -text +18.[[:space:]]Facial[[:space:]]Applications[[:space:]]-[[:space:]]Emotion,[[:space:]]Age[[:space:]]&[[:space:]]Gender[[:space:]]Recognition/3.[[:space:]]Build[[:space:]]EmotionAgeGender[[:space:]]Recognition[[:space:]]in[[:space:]]our[[:space:]]Deep[[:space:]]Surveillance[[:space:]]Monitor.mp4 filter=lfs diff=lfs merge=lfs -text +19.[[:space:]]Medical[[:space:]]Imaging[[:space:]]-[[:space:]]Image[[:space:]]Segmentation[[:space:]]with[[:space:]]U-Net/5.[[:space:]]Finding[[:space:]]the[[:space:]]Nuclei[[:space:]]in[[:space:]]Divergent[[:space:]]Images.mp4 filter=lfs diff=lfs merge=lfs -text +21.[[:space:]]TensorFlow[[:space:]]Object[[:space:]]Detection[[:space:]]API/2.[[:space:]]TFOD[[:space:]]API[[:space:]]Install[[:space:]]and[[:space:]]Setup.mp4 filter=lfs diff=lfs merge=lfs -text +22.[[:space:]]Object[[:space:]]Detection[[:space:]]with[[:space:]]YOLO[[:space:]]&[[:space:]]Darkflow[[:space:]]Build[[:space:]]a[[:space:]]London[[:space:]]Underground[[:space:]]Sign[[:space:]]Detector/1.[[:space:]]Chapter[[:space:]]Introduction.mp4 filter=lfs diff=lfs merge=lfs -text +20.[[:space:]]Principles[[:space:]]of[[:space:]]Object[[:space:]]Detection/3.[[:space:]]R-CNN,[[:space:]]Fast[[:space:]]R-CNN,[[:space:]]Faster[[:space:]]R-CNN[[:space:]]and[[:space:]]Mask[[:space:]]R-CNN.mp4 filter=lfs diff=lfs merge=lfs -text +21.[[:space:]]TensorFlow[[:space:]]Object[[:space:]]Detection[[:space:]]API/3.[[:space:]]Experiment[[:space:]]with[[:space:]]a[[:space:]]ResNet[[:space:]]SSD[[:space:]]on[[:space:]]images,[[:space:]]webcam[[:space:]]and[[:space:]]videos.mp4 filter=lfs diff=lfs merge=lfs -text +21.[[:space:]]TensorFlow[[:space:]]Object[[:space:]]Detection[[:space:]]API/4.[[:space:]]How[[:space:]]to[[:space:]]Train[[:space:]]a[[:space:]]TFOD[[:space:]]Model.mp4 filter=lfs diff=lfs merge=lfs -text +22.[[:space:]]Object[[:space:]]Detection[[:space:]]with[[:space:]]YOLO[[:space:]]&[[:space:]]Darkflow[[:space:]]Build[[:space:]]a[[:space:]]London[[:space:]]Underground[[:space:]]Sign[[:space:]]Detector/2.[[:space:]]Setting[[:space:]]up[[:space:]]and[[:space:]]install[[:space:]]Yolo[[:space:]]DarkNet[[:space:]]and[[:space:]]DarkFlow.mp4 filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers[[:space:]]Make[[:space:]]AI[[:space:]]Generated[[:space:]]Art/1.[[:space:]]Chapter[[:space:]]Introduction.mp4 filter=lfs diff=lfs merge=lfs -text +24.[[:space:]]Generative[[:space:]]Adversarial[[:space:]]Networks[[:space:]](GANs)[[:space:]]Simulate[[:space:]]Aging[[:space:]]Faces/1.[[:space:]]Generative[[:space:]]Adverserial[[:space:]]Neural[[:space:]]Networks[[:space:]]Chapter[[:space:]]Overview.mp4 filter=lfs diff=lfs merge=lfs -text +22.[[:space:]]Object[[:space:]]Detection[[:space:]]with[[:space:]]YOLO[[:space:]]&[[:space:]]Darkflow[[:space:]]Build[[:space:]]a[[:space:]]London[[:space:]]Underground[[:space:]]Sign[[:space:]]Detector/3.[[:space:]]Experiment[[:space:]]with[[:space:]]YOLO[[:space:]]on[[:space:]]still[[:space:]]images,[[:space:]]webcam[[:space:]]and[[:space:]]videos.mp4 filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers[[:space:]]Make[[:space:]]AI[[:space:]]Generated[[:space:]]Art/2.[[:space:]]DeepDream[[:space:]]–[[:space:]]How[[:space:]]AI[[:space:]]Generated[[:space:]]Art[[:space:]]All[[:space:]]Started.mp4 filter=lfs diff=lfs merge=lfs -text +24.[[:space:]]Generative[[:space:]]Adversarial[[:space:]]Networks[[:space:]](GANs)[[:space:]]Simulate[[:space:]]Aging[[:space:]]Faces/3.[[:space:]]Mathematics[[:space:]]of[[:space:]]GANs.mp4 filter=lfs diff=lfs merge=lfs -text +22.[[:space:]]Object[[:space:]]Detection[[:space:]]with[[:space:]]YOLO[[:space:]]&[[:space:]]Darkflow[[:space:]]Build[[:space:]]a[[:space:]]London[[:space:]]Underground[[:space:]]Sign[[:space:]]Detector/4.[[:space:]]Build[[:space:]]your[[:space:]]own[[:space:]]YOLO[[:space:]]Object[[:space:]]Detector[[:space:]]-[[:space:]]Detecting[[:space:]]London[[:space:]]Underground[[:space:]]Signs.mp4 filter=lfs diff=lfs merge=lfs -text +24.[[:space:]]Generative[[:space:]]Adversarial[[:space:]]Networks[[:space:]](GANs)[[:space:]]Simulate[[:space:]]Aging[[:space:]]Faces/2.[[:space:]]Introduction[[:space:]]To[[:space:]]GANs.mp4 filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers[[:space:]]Make[[:space:]]AI[[:space:]]Generated[[:space:]]Art/3.[[:space:]]Neural[[:space:]]Style[[:space:]]Transfer.mp4 filter=lfs diff=lfs merge=lfs -text +24.[[:space:]]Generative[[:space:]]Adversarial[[:space:]]Networks[[:space:]](GANs)[[:space:]]Simulate[[:space:]]Aging[[:space:]]Faces/5.[[:space:]]Face[[:space:]]Aging[[:space:]]GAN.mp4 filter=lfs diff=lfs merge=lfs -text +25.[[:space:]]Face[[:space:]]Recognition/testfriends.mp4 filter=lfs diff=lfs merge=lfs -text +24.[[:space:]]Generative[[:space:]]Adversarial[[:space:]]Networks[[:space:]](GANs)[[:space:]]Simulate[[:space:]]Aging[[:space:]]Faces/4.[[:space:]]Implementing[[:space:]]GANs[[:space:]]in[[:space:]]Keras.mp4 filter=lfs diff=lfs merge=lfs -text +26.[[:space:]]The[[:space:]]Computer[[:space:]]Vision[[:space:]]World/4.[[:space:]]Popular[[:space:]]Computer[[:space:]]Vision[[:space:]]Conferences[[:space:]]&[[:space:]]Finding[[:space:]]Datasets.mp4 filter=lfs diff=lfs merge=lfs -text +26.[[:space:]]The[[:space:]]Computer[[:space:]]Vision[[:space:]]World/Screenshot[[:space:]]from[[:space:]]2024-08-10[[:space:]]20-58-43.png filter=lfs diff=lfs merge=lfs -text +26.[[:space:]]The[[:space:]]Computer[[:space:]]Vision[[:space:]]World/Screenshot[[:space:]]from[[:space:]]2024-08-10[[:space:]]20-59-06.png filter=lfs diff=lfs merge=lfs -text +26.[[:space:]]The[[:space:]]Computer[[:space:]]Vision[[:space:]]World/5.[[:space:]]Building[[:space:]]a[[:space:]]Deep[[:space:]]Learning[[:space:]]Machine[[:space:]]vs.[[:space:]]Cloud[[:space:]]GPUs.mp4 filter=lfs diff=lfs merge=lfs -text +28.[[:space:]]BONUS[[:space:]]-[[:space:]]Use[[:space:]]Cloud[[:space:]]GPUs[[:space:]]on[[:space:]]PaperSpace/2.1[[:space:]]AlexNet[[:space:]]CIFAR10.zip filter=lfs diff=lfs merge=lfs -text +4.[[:space:]]Handwriting[[:space:]]Recognition/2.[[:space:]]Experiment[[:space:]]with[[:space:]]a[[:space:]]Handwriting[[:space:]]Classifier.mp4 filter=lfs diff=lfs merge=lfs -text +4.[[:space:]]Handwriting[[:space:]]Recognition/3.[[:space:]]Experiment[[:space:]]with[[:space:]]a[[:space:]]Image[[:space:]]Classifier.mp4 filter=lfs diff=lfs merge=lfs -text +5.[[:space:]]OpenCV[[:space:]]Tutorial[[:space:]]-[[:space:]]Learn[[:space:]]Classic[[:space:]]Computer[[:space:]]Vision[[:space:]]&[[:space:]]Face[[:space:]]Detection[[:space:]](OPTIONAL)/10.[[:space:]]Transformations,[[:space:]]Affine[[:space:]]And[[:space:]]Non-Affine[[:space:]]-[[:space:]]The[[:space:]]Many[[:space:]]Ways[[:space:]]We[[:space:]]Can[[:space:]]Change[[:space:]]Images.mp4 filter=lfs diff=lfs merge=lfs -text +4.[[:space:]]Handwriting[[:space:]]Recognition/4.[[:space:]]OpenCV[[:space:]]Demo[[:space:]]–[[:space:]]Live[[:space:]]Sketch[[:space:]]with[[:space:]]Webcam.mp4 filter=lfs diff=lfs merge=lfs -text +5.[[:space:]]OpenCV[[:space:]]Tutorial[[:space:]]-[[:space:]]Learn[[:space:]]Classic[[:space:]]Computer[[:space:]]Vision[[:space:]]&[[:space:]]Face[[:space:]]Detection[[:space:]](OPTIONAL)/11.[[:space:]]Image[[:space:]]Translations[[:space:]]-[[:space:]]Moving[[:space:]]Images[[:space:]]Up,[[:space:]]Down.[[:space:]]Left[[:space:]]And[[:space:]]Right.mp4 filter=lfs 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+5.[[:space:]]OpenCV[[:space:]]Tutorial[[:space:]]-[[:space:]]Learn[[:space:]]Classic[[:space:]]Computer[[:space:]]Vision[[:space:]]&[[:space:]]Face[[:space:]]Detection[[:space:]](OPTIONAL)/13.[[:space:]]Scaling,[[:space:]]Re-sizing[[:space:]]and[[:space:]]Interpolations[[:space:]]-[[:space:]]Understand[[:space:]]How[[:space:]]Re-Sizing[[:space:]]Affects[[:space:]]Quality.mp4 filter=lfs diff=lfs merge=lfs -text +25.[[:space:]]Face[[:space:]]Recognition[[:space:]]with[[:space:]]VGGFace/2.1[[:space:]]vgg_face_weights.h5.tar.gz filter=lfs diff=lfs merge=lfs -text +5.[[:space:]]OpenCV[[:space:]]Tutorial[[:space:]]-[[:space:]]Learn[[:space:]]Classic[[:space:]]Computer[[:space:]]Vision[[:space:]]&[[:space:]]Face[[:space:]]Detection[[:space:]](OPTIONAL)/15.[[:space:]]Cropping[[:space:]]-[[:space:]]Cut[[:space:]]Out[[:space:]]The[[:space:]]Image[[:space:]]The[[:space:]]Regions[[:space:]]You[[:space:]]Want[[:space:]]or[[:space:]]Don't[[:space:]]Want.mp4 filter=lfs diff=lfs merge=lfs -text +25.[[:space:]]Face[[:space:]]Recognition[[:space:]]with[[:space:]]VGGFace/2.2[[:space:]]vgg_face_weights.h5.tar.gz filter=lfs diff=lfs merge=lfs -text +5.[[:space:]]OpenCV[[:space:]]Tutorial[[:space:]]-[[:space:]]Learn[[:space:]]Classic[[:space:]]Computer[[:space:]]Vision[[:space:]]&[[:space:]]Face[[:space:]]Detection[[:space:]](OPTIONAL)/16.[[:space:]]Arithmetic[[:space:]]Operations[[:space:]]-[[:space:]]Brightening[[:space:]]and[[:space:]]Darkening[[:space:]]Images.mp4 filter=lfs diff=lfs merge=lfs -text +5.[[:space:]]OpenCV[[:space:]]Tutorial[[:space:]]-[[:space:]]Learn[[:space:]]Classic[[:space:]]Computer[[:space:]]Vision[[:space:]]&[[:space:]]Face[[:space:]]Detection[[:space:]](OPTIONAL)/17.[[:space:]]Bitwise[[:space:]]Operations[[:space:]]-[[:space:]]How[[:space:]]Image[[:space:]]Masking[[:space:]]Works.mp4 filter=lfs diff=lfs merge=lfs -text +5.[[:space:]]OpenCV[[:space:]]Tutorial[[:space:]]-[[:space:]]Learn[[:space:]]Classic[[:space:]]Computer[[:space:]]Vision[[:space:]]&[[:space:]]Face[[:space:]]Detection[[:space:]](OPTIONAL)/19.[[:space:]]Sharpening[[:space:]]-[[:space:]]Reverse[[:space:]]Your[[:space:]]Images[[:space:]]Blurs.mp4 filter=lfs diff=lfs merge=lfs -text +5.[[:space:]]OpenCV[[:space:]]Tutorial[[:space:]]-[[:space:]]Learn[[:space:]]Classic[[:space:]]Computer[[:space:]]Vision[[:space:]]&[[:space:]]Face[[:space:]]Detection[[:space:]](OPTIONAL)/2.[[:space:]]What[[:space:]]are[[:space:]]Images.mp4 filter=lfs diff=lfs merge=lfs -text 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+8.[[:space:]]Build[[:space:]]CNNs[[:space:]]in[[:space:]]Python[[:space:]]using[[:space:]]Keras/9.[[:space:]]Plotting[[:space:]]Loss[[:space:]]and[[:space:]]Accuracy[[:space:]]Charts.mp4 filter=lfs diff=lfs merge=lfs -text +8.[[:space:]]Build[[:space:]]CNNs[[:space:]]in[[:space:]]Python[[:space:]]using[[:space:]]Keras/8.[[:space:]]Training[[:space:]]Our[[:space:]]Classifier.mp4 filter=lfs diff=lfs merge=lfs -text +9.[[:space:]]What[[:space:]]CNNs[[:space:]]'see'[[:space:]]-[[:space:]]Filter[[:space:]]Visualizations,[[:space:]]Heatmaps[[:space:]]and[[:space:]]Salience[[:space:]]Maps/1.[[:space:]]Introduction[[:space:]]to[[:space:]]Visualizing[[:space:]]What[[:space:]]CNNs[[:space:]]'see'[[:space:]]&[[:space:]]Filter[[:space:]]Visualizations.mp4 filter=lfs diff=lfs merge=lfs -text 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+9.[[:space:]]What[[:space:]]CNNs[[:space:]]'see'[[:space:]]-[[:space:]]Filter[[:space:]]Visualizations,[[:space:]]Heatmaps[[:space:]]and[[:space:]]Salience[[:space:]]Maps/3.[[:space:]]Saliency[[:space:]]Maps[[:space:]]&[[:space:]]Class[[:space:]]Activation[[:space:]]Maps.mp4 filter=lfs diff=lfs merge=lfs -text +9.[[:space:]]What[[:space:]]CNNs[[:space:]]'see'[[:space:]]-[[:space:]]Filter[[:space:]]Visualizations,[[:space:]]Heatmaps[[:space:]]and[[:space:]]Salience[[:space:]]Maps/4.[[:space:]]Filter[[:space:]]Visualizations.mp4 filter=lfs diff=lfs merge=lfs -text +Module[[:space:]]6[[:space:]]Machine[[:space:]]Learning[[:space:]]Real-World[[:space:]]Case[[:space:]]Studies/Case[[:space:]]study[[:space:]]4Taxi[[:space:]]demand[[:space:]]prediction[[:space:]]in[[:space:]]New[[:space:]]York[[:space:]]City/Notes[[:space:]]and[[:space:]]Resources/cluster_centers.JPG filter=lfs diff=lfs merge=lfs -text 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merge=lfs -text +Module[[:space:]]6[[:space:]]Machine[[:space:]]Learning[[:space:]]Real-World[[:space:]]Case[[:space:]]Studies/Case[[:space:]]study[[:space:]]4Taxi[[:space:]]demand[[:space:]]prediction[[:space:]]in[[:space:]]New[[:space:]]York[[:space:]]City/Notes[[:space:]]and[[:space:]]Resources/New_york.gif filter=lfs diff=lfs merge=lfs -text +Module[[:space:]]5[[:space:]]Feature[[:space:]]Engineering[[:space:]]Productionization[[:space:]]and[[:space:]]deployment[[:space:]]of[[:space:]]ML[[:space:]]Models/2.[[:space:]]Miscellaneous[[:space:]]Topics/12.1.[[:space:]]Hands[[:space:]]on[[:space:]]Live[[:space:]]Session_[[:space:]]Build[[:space:]]and[[:space:]]Deploy[[:space:]]an[[:space:]]ML[[:space:]]model[[:space:]]using[[:space:]]AWS[[:space:]]and[[:space:]]APIs__pdf filter=lfs diff=lfs merge=lfs -text +Module[[:space:]]5[[:space:]]Feature[[:space:]]Engineering[[:space:]]Productionization[[:space:]]and[[:space:]]deployment[[:space:]]of[[:space:]]ML[[:space:]]Models/2.[[:space:]]Miscellaneous[[:space:]]Topics/15.1.[[:space:]]ML[[:space:]]deployment[[:space:]]for[[:space:]]Heroku.pdf filter=lfs diff=lfs merge=lfs -text +Module[[:space:]]5[[:space:]]Feature[[:space:]]Engineering[[:space:]]Productionization[[:space:]]and[[:space:]]deployment[[:space:]]of[[:space:]]ML[[:space:]]Models/3.[[:space:]]Module[[:space:]]5[[:space:]]Live[[:space:]]Sessions/3.1.[[:space:]]LIVE_InterviewQues_Productionization.pdf filter=lfs diff=lfs merge=lfs -text +4.[[:space:]]Get[[:space:]]Started![[:space:]]Handwritting[[:space:]]Recognition,[[:space:]]Simple[[:space:]]Object[[:space:]]Classification[[:space:]]&[[:space:]]OpenCV[[:space:]]Demo/images/numbers.jpg filter=lfs diff=lfs merge=lfs -text +24.[[:space:]]GANS_Generative_Networks/Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks-master/checkpoints/acgan.model-399999.meta filter=lfs diff=lfs merge=lfs -text +24.[[:space:]]GANS_Generative_Networks/Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks-master/images/method_comp.JPG filter=lfs diff=lfs merge=lfs -text +24.[[:space:]]GANS_Generative_Networks/Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks-master/checkpoints/acgan.model-399999.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text +24.[[:space:]]GANS_Generative_Networks/Face-Aging-with-Identity-Preserved-Conditional-Generative-Adversarial-Networks-master/checkpoints/0_conv5_lsgan_transfer_g75_0.5f-4_a30/acgan.model-399999.meta filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers/deepdream_outputs/dream_at_scale_(353,[[:space:]]529).png filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers/deepdream_outputs/dream_at_scale_(494,[[:space:]]740).png filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers/deepdream_outputs/dream_at_scale_(692,[[:space:]]1037).png filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers/images/aurora_norway.jpg filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers/deepdream_outputs/final_dream.png filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers/images/monetwaterlilies.jpg filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers/images/t-rex.jpg filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers/images/wolfpuppy.jpg filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers/style_transfer_results/starrynight_onto_eiffel_at_iteration_2.png filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers/style_transfer_results/starrynight_onto_eiffel_at_iteration_1.png filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers/style_transfer_results/starrynight_onto_eiffel_at_iteration_0.png filter=lfs diff=lfs merge=lfs -text +23.[[:space:]]DeepDream[[:space:]]&[[:space:]]Neural[[:space:]]Style[[:space:]]Transfers/style_transfer_results/starrynight_onto_eiffel_at_iteration_4.png filter=lfs diff=lfs merge=lfs -text diff --git a/10. Data Augmentation/10.1 - 10.3 - Data Augmentation - Cats vs Dogs.ipynb b/10. Data Augmentation/10.1 - 10.3 - Data Augmentation - Cats vs Dogs.ipynb index ab5d967459e88f38d0a49abf1cc539497a9e3e39..3d162e6b2ffd6c1eb9f4422859e4c2f988f5d039 100644 --- a/10. Data Augmentation/10.1 - 10.3 - Data Augmentation - Cats vs Dogs.ipynb +++ b/10. Data Augmentation/10.1 - 10.3 - Data Augmentation - Cats vs Dogs.ipynb @@ -1,802 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Cats vs Dogs\n", - "\n", - "### Loading our images \n", - "- Images are labeled catxxx.jpg and dogxxx.jpg" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "3002 images loaded\n" - ] - } - ], - "source": [ - "# Get filenames in list\n", - "from os import listdir\n", - "from os.path import isfile, join\n", - "\n", - "mypath = \"./datasets/catsvsdogs/images/\"\n", - "\n", - "file_names = [f for f in listdir(mypath) if isfile(join(mypath, f))]\n", - "\n", - "print(str(len(file_names)) + ' images loaded')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Splitting our loaded images into a training and test/validation dataset\n", - "- We also need to store their labels (i.e. y_train and y_test)\n", - "- We re-size our images here to maintain a constant dimension of 150 x 150\n", - "- We're going to use 1000 images of dogs and 1000 images of cats as our training data\n", - "- For our test/validation dataset we're going to use 500 of each class\n", - "- Dogs will be labels 1 and cats 0\n", - "- We store our new images in the following directories\n", - " - /datasets/catsvsdogs/train/dogs\n", - " - /datasets/catsvsdogs/train/cats\n", - " - /datasets/catsvsdogs/validation/dogs\n", - " - /datasets/catsvsdogs/validation/cats" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Training and Test Data Extraction Complete\n" - ] - } - ], - "source": [ - "import cv2\n", - "import numpy as np\n", - "import sys\n", - "import os\n", - "import shutil\n", - "\n", - "# Extract 1000 for our training data and 500 for our validation set\n", - "# Takes about ~20 seconds to run\n", - "dog_count = 0\n", - "cat_count = 0\n", - "training_size = 1000\n", - "test_size = 500\n", - "training_images = []\n", - "training_labels = []\n", - "test_images = []\n", - "test_labels = []\n", - "size = 150\n", - "dog_dir_train = \"./datasets/catsvsdogs/train/dogs/\"\n", - "cat_dir_train = \"./datasets/catsvsdogs/train/cats/\"\n", - "dog_dir_val = \"./datasets/catsvsdogs/validation/dogs/\"\n", - "cat_dir_val = \"./datasets/catsvsdogs/validation/cats/\"\n", - "\n", - "def make_dir(directory):\n", - " if os.path.exists(directory):\n", - " shutil.rmtree(directory)\n", - " os.makedirs(directory)\n", - "\n", - "make_dir(dog_dir_train)\n", - "make_dir(cat_dir_train)\n", - "make_dir(dog_dir_val)\n", - "make_dir(cat_dir_val)\n", - "\n", - "def getZeros(number):\n", - " if(number > 10 and number < 100):\n", - " return \"0\"\n", - " if(number < 10):\n", - " return \"00\"\n", - " else:\n", - " return \"\"\n", - "\n", - "for i, file in enumerate(file_names):\n", - " \n", - " if file_names[i][0] == \"d\":\n", - " dog_count += 1\n", - " image = cv2.imread(mypath+file)\n", - " image = cv2.resize(image, (size, size), interpolation = cv2.INTER_AREA)\n", - " if dog_count <= training_size:\n", - " training_images.append(image)\n", - " training_labels.append(1)\n", - " zeros = getZeros(dog_count)\n", - " cv2.imwrite(dog_dir_train + \"dog\" + str(zeros) + str(dog_count) + \".jpg\", image)\n", - " if dog_count > training_size and dog_count <= training_size+test_size:\n", - " test_images.append(image)\n", - " test_labels.append(1)\n", - " zeros = getZeros(dog_count-1000)\n", - " cv2.imwrite(dog_dir_val + \"dog\" + str(zeros) + str(dog_count-1000) + \".jpg\", image)\n", - " \n", - " if file_names[i][0] == \"c\":\n", - " cat_count += 1\n", - " image = cv2.imread(mypath+file)\n", - " image = cv2.resize(image, (size, size), interpolation = cv2.INTER_AREA)\n", - " if cat_count <= training_size:\n", - " training_images.append(image)\n", - " training_labels.append(0)\n", - " zeros = getZeros(cat_count)\n", - " cv2.imwrite(cat_dir_train + \"cat\" + str(zeros) + str(cat_count) + \".jpg\", image)\n", - " if cat_count > training_size and cat_count <= training_size+test_size:\n", - " test_images.append(image)\n", - " test_labels.append(0)\n", - " zeros = getZeros(cat_count-1000)\n", - " cv2.imwrite(cat_dir_val + \"cat\" + str(zeros) + str(cat_count-1000) + \".jpg\", image)\n", - "\n", - " if dog_count == training_size+test_size and cat_count == training_size+test_size:\n", - " break\n", - "\n", - "print(\"Training and Test Data Extraction Complete\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's save our dataset's to NPZ files" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# Using numpy's savez function to store our loaded data as NPZ files\n", - "np.savez('cats_vs_dogs_training_data.npz', np.array(training_images))\n", - "np.savez('cats_vs_dogs_training_labels.npz', np.array(training_labels))\n", - "np.savez('cats_vs_dogs_test_data.npz', np.array(test_images))\n", - "np.savez('cats_vs_dogs_test_labels.npz', np.array(test_labels))" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# Loader Function\n", - "import numpy as np\n", - "\n", - "def load_data_training_and_test(datasetname):\n", - " \n", - " npzfile = np.load(datasetname + \"_training_data.npz\")\n", - " train = npzfile['arr_0']\n", - " \n", - " npzfile = np.load(datasetname + \"_training_labels.npz\")\n", - " train_labels = npzfile['arr_0']\n", - " \n", - " npzfile = np.load(datasetname + \"_test_data.npz\")\n", - " test = npzfile['arr_0']\n", - " \n", - " npzfile = np.load(datasetname + \"_test_labels.npz\")\n", - " test_labels = npzfile['arr_0']\n", - "\n", - " return (train, train_labels), (test, test_labels)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's view some of our loaded images" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1 - Cat\n", - "2 - Cat\n", - "3 - Dog\n", - "4 - Cat\n", - "5 - Cat\n", - "6 - Dog\n", - "7 - Cat\n", - "8 - Cat\n", - "9 - Dog\n", - "10 - Dog\n" - ] - } - ], - "source": [ - "for i in range(1,11):\n", - " random = np.random.randint(0, len(training_images))\n", - " cv2.imshow(\"image_\"+str(i), training_images[random])\n", - " if training_labels[random] == 0:\n", - " print(str(i) + \" - Cat\")\n", - " else:\n", - " print(str(i)+ \" - Dog\")\n", - " cv2.waitKey(0)\n", - " \n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's get our data ready in the format expected by Keras\n", - "- We also stick the previous naming convention " - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(2000, 150, 150, 3)\n", - "(2000, 1)\n", - "(1000, 150, 150, 3)\n", - "(1000, 1)\n" - ] - } - ], - "source": [ - "(x_train, y_train), (x_test, y_test) = load_data_training_and_test(\"cats_vs_dogs\")\n", - "\n", - "# Reshaping our label data from (2000,) to (2000,1) and test data from (1000,) to (1000,1)\n", - "y_train = y_train.reshape(y_train.shape[0], 1)\n", - "y_test = y_test.reshape(y_test.shape[0], 1)\n", - "\n", - "# Change our image type to float32 data type\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "\n", - "# Normalize our data by changing the range from (0 to 255) to (0 to 1)\n", - "x_train /= 255\n", - "x_test /= 255\n", - "\n", - "print(x_train.shape)\n", - "print(y_train.shape)\n", - "print(x_test.shape)\n", - "print(y_test.shape)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's create our model using a simple CNN that similar to what we used for CIFAR10\n", - "- Except now we use a Sigmoid instead of Softmax\n", - "- **Sigmoids are used when we're doing binary (i.e. two class) classification\n", - "- Note the binary_crossentropy loss" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential_1\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d_3 (Conv2D) (None, 148, 148, 32) 896 \n", - "_________________________________________________________________\n", - "activation_5 (Activation) (None, 148, 148, 32) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_3 (MaxPooling2 (None, 74, 74, 32) 0 \n", - "_________________________________________________________________\n", - "conv2d_4 (Conv2D) (None, 72, 72, 32) 9248 \n", - "_________________________________________________________________\n", - "activation_6 (Activation) (None, 72, 72, 32) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_4 (MaxPooling2 (None, 36, 36, 32) 0 \n", - "_________________________________________________________________\n", - "conv2d_5 (Conv2D) (None, 34, 34, 64) 18496 \n", - "_________________________________________________________________\n", - "activation_7 (Activation) (None, 34, 34, 64) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_5 (MaxPooling2 (None, 17, 17, 64) 0 \n", - "_________________________________________________________________\n", - "flatten_1 (Flatten) (None, 18496) 0 \n", - "_________________________________________________________________\n", - "dense_2 (Dense) (None, 64) 1183808 \n", - "_________________________________________________________________\n", - "activation_8 (Activation) (None, 64) 0 \n", - "_________________________________________________________________\n", - "dropout_1 (Dropout) (None, 64) 0 \n", - "_________________________________________________________________\n", - "dense_3 (Dense) (None, 1) 65 \n", - "_________________________________________________________________\n", - "activation_9 (Activation) (None, 1) 0 \n", - "=================================================================\n", - "Total params: 1,212,513\n", - "Trainable params: 1,212,513\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "from __future__ import print_function\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", - "import os\n", - "\n", - "batch_size = 16\n", - "epochs = 10\n", - "\n", - "img_rows = x_train[0].shape[0]\n", - "img_cols = x_train[1].shape[0]\n", - "input_shape = (img_rows, img_cols, 3)\n", - "\n", - "model = Sequential()\n", - "model.add(Conv2D(32, (3, 3), input_shape=input_shape))\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "\n", - "model.add(Conv2D(32, (3, 3)))\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "\n", - "model.add(Conv2D(64, (3, 3)))\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "\n", - "model.add(Flatten())\n", - "model.add(Dense(64))\n", - "model.add(Activation('relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(1))\n", - "model.add(Activation('sigmoid'))\n", - "\n", - "model.compile(loss='binary_crossentropy',\n", - " optimizer='rmsprop',\n", - " metrics=['accuracy'])\n", - "\n", - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Training our model" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Train on 2000 samples, validate on 1000 samples\n", - "2000/2000 [==============================] - 42s 21ms/sample - loss: 0.7029 - accuracy: 0.5335 - val_loss: 0.6820 - val_accuracy: 0.5440\n", - "1000/1000 [==============================] - 5s 5ms/sample - loss: 0.6820 - accuracy: 0.5440\n", - "Test loss: 0.6819891605377197\n", - "Test accuracy: 0.544\n" - ] - } - ], - "source": [ - "history = model.fit(x_train, y_train,\n", - " batch_size=batch_size,\n", - " epochs=epochs,\n", - " validation_data=(x_test, y_test),\n", - " shuffle=True)\n", - "\n", - "model.save(\"cats_vs_dogs_V1.h5\")\n", - "\n", - "# Evaluate the performance of our trained model\n", - "scores = model.evaluate(x_test, y_test, verbose=1)\n", - "print('Test loss:', scores[0])\n", - "print('Test accuracy:', scores[1])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Testing our Classifier" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "import cv2\n", - "import numpy as np\n", - "from tensorflow.keras.models import load_model\n", - "\n", - "classifier = load_model('cats_vs_dogs_V1.h5')\n", - "\n", - "def draw_test(name, pred, input_im):\n", - " BLACK = [0,0,0]\n", - " if pred == \"[0]\":\n", - " pred = \"cat\"\n", - " if pred == \"[1]\":\n", - " pred = \"dog\"\n", - " expanded_image = cv2.copyMakeBorder(input_im, 0, 0, 0, imageL.shape[0] ,cv2.BORDER_CONSTANT,value=BLACK)\n", - " #expanded_image = cv2.cvtColor(expanded_image, cv2.COLOR_GRAY2BGR)\n", - " cv2.putText(expanded_image, str(pred), (252, 70) , cv2.FONT_HERSHEY_COMPLEX_SMALL,4, (0,255,0), 2)\n", - " cv2.imshow(name, expanded_image)\n", - "\n", - "\n", - "for i in range(0,10):\n", - " rand = np.random.randint(0,len(x_test))\n", - " input_im = x_test[rand]\n", - "\n", - " imageL = cv2.resize(input_im, None, fx=2, fy=2, interpolation = cv2.INTER_CUBIC)\n", - " cv2.imshow(\"Test Image\", imageL)\n", - "\n", - " input_im = input_im.reshape(1,150,150,3) \n", - " \n", - " ## Get Prediction\n", - " res = str(classifier.predict_classes(input_im, 1, verbose = 0)[0])\n", - "\n", - " draw_test(\"Prediction\", res, imageL) \n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Analysis\n", - "- Our results aren't bad, but they could be better" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Now let's train our Cats vs Dogs Classifier using Data Augmentation" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 2000 images belonging to 2 classes.\n", - "Found 1000 images belonging to 2 classes.\n" - ] - } - ], - "source": [ - "import os\n", - "import numpy as np\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D, ZeroPadding2D\n", - "from tensorflow.keras import optimizers\n", - "import scipy\n", - "import pylab as pl\n", - "import matplotlib.cm as cm\n", - "%matplotlib inline\n", - "\n", - "input_shape = (150, 150, 3)\n", - "img_width = 150\n", - "img_height = 150\n", - "\n", - "nb_train_samples = 2000\n", - "nb_validation_samples = 1000\n", - "batch_size = 16\n", - "epochs = 5\n", - "\n", - "train_data_dir = './datasets/catsvsdogs/train'\n", - "validation_data_dir = './datasets/catsvsdogs/validation'\n", - "\n", - "# Creating our data generator for our test data\n", - "validation_datagen = ImageDataGenerator(\n", - " # used to rescale the pixel values from [0, 255] to [0, 1] interval\n", - " rescale = 1./255)\n", - "\n", - "# Creating our data generator for our training data\n", - "train_datagen = ImageDataGenerator(\n", - " rescale = 1./255, # normalize pixel values to [0,1]\n", - " rotation_range = 30, # randomly applies rotations\n", - " width_shift_range = 0.3, # randomly applies width shifting\n", - " height_shift_range = 0.3, # randomly applies height shifting\n", - " horizontal_flip = True, # randonly flips the image\n", - " fill_mode = 'nearest') # uses the fill mode nearest to fill gaps created by the above\n", - "\n", - "# Specify criteria about our training data, such as the directory, image size, batch size and type \n", - "# automagically retrieve images and their classes for train and validation sets\n", - "train_generator = train_datagen.flow_from_directory(\n", - " train_data_dir,\n", - " target_size = (img_width, img_height),\n", - " batch_size = batch_size,\n", - " class_mode = 'binary',\n", - " shuffle = True)\n", - "\n", - "validation_generator = validation_datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " target_size = (img_width, img_height),\n", - " batch_size = batch_size,\n", - " class_mode = 'binary',\n", - " shuffle = False) " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Create our model, just like we did previously" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential_2\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d_6 (Conv2D) (None, 148, 148, 32) 896 \n", - "_________________________________________________________________\n", - "activation_10 (Activation) (None, 148, 148, 32) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_6 (MaxPooling2 (None, 74, 74, 32) 0 \n", - "_________________________________________________________________\n", - "conv2d_7 (Conv2D) (None, 72, 72, 32) 9248 \n", - "_________________________________________________________________\n", - "activation_11 (Activation) (None, 72, 72, 32) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_7 (MaxPooling2 (None, 36, 36, 32) 0 \n", - "_________________________________________________________________\n", - "conv2d_8 (Conv2D) (None, 34, 34, 64) 18496 \n", - "_________________________________________________________________\n", - "activation_12 (Activation) (None, 34, 34, 64) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_8 (MaxPooling2 (None, 17, 17, 64) 0 \n", - "_________________________________________________________________\n", - "flatten_2 (Flatten) (None, 18496) 0 \n", - "_________________________________________________________________\n", - "dense_4 (Dense) (None, 64) 1183808 \n", - "_________________________________________________________________\n", - "activation_13 (Activation) (None, 64) 0 \n", - "_________________________________________________________________\n", - "dropout_2 (Dropout) (None, 64) 0 \n", - "_________________________________________________________________\n", - "dense_5 (Dense) (None, 1) 65 \n", - "_________________________________________________________________\n", - "activation_14 (Activation) (None, 1) 0 \n", - "=================================================================\n", - "Total params: 1,212,513\n", - "Trainable params: 1,212,513\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "# Creating out model\n", - "model = Sequential()\n", - "model.add(Conv2D(32, (3, 3), input_shape=input_shape))\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "\n", - "model.add(Conv2D(32, (3, 3)))\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "\n", - "model.add(Conv2D(64, (3, 3)))\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "\n", - "model.add(Flatten())\n", - "model.add(Dense(64))\n", - "model.add(Activation('relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(1))\n", - "model.add(Activation('sigmoid'))\n", - "\n", - "print(model.summary())\n", - "\n", - "model.compile(loss='binary_crossentropy',\n", - " optimizer='rmsprop',\n", - " metrics=['accuracy'])" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:From :6: Model.fit_generator (from tensorflow.python.keras.engine.training) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "Please use Model.fit, which supports generators.\n", - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "Train for 125 steps, validate for 62 steps\n", - "Epoch 1/5\n", - "125/125 [==============================] - 64s 511ms/step - loss: 0.7178 - accuracy: 0.5190 - val_loss: 0.6823 - val_accuracy: 0.5887\n", - "Epoch 2/5\n", - "125/125 [==============================] - 45s 363ms/step - loss: 0.6883 - accuracy: 0.5555 - val_loss: 0.6647 - val_accuracy: 0.5746\n", - "Epoch 3/5\n", - "125/125 [==============================] - 46s 370ms/step - loss: 0.6841 - accuracy: 0.5795 - val_loss: 0.6531 - val_accuracy: 0.6411\n", - "Epoch 4/5\n", - "125/125 [==============================] - 47s 373ms/step - loss: 0.6642 - accuracy: 0.6160 - val_loss: 0.7110 - val_accuracy: 0.5151\n", - "Epoch 5/5\n", - "125/125 [==============================] - 50s 399ms/step - loss: 0.6643 - accuracy: 0.5815 - val_loss: 0.6231 - val_accuracy: 0.6905\n" - ] - } - ], - "source": [ - "history = model.fit_generator(\n", - " train_generator,\n", - " steps_per_epoch = nb_train_samples // batch_size,\n", - " epochs = epochs,\n", - " validation_data = validation_generator,\n", - " validation_steps = nb_validation_samples // batch_size)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Plotting our Loss and Accuracy Graphs" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plotting our loss charts\n", - "import matplotlib.pyplot as plt\n", - "\n", - "history_dict = history.history\n", - "\n", - "loss_values = history_dict['loss']\n", - "val_loss_values = history_dict['val_loss']\n", - "epochs = range(1, len(loss_values) + 1)\n", - "\n", - "line1 = plt.plot(epochs, val_loss_values, label='Validation/Test Loss')\n", - "line2 = plt.plot(epochs, loss_values, label='Training Loss')\n", - "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", - "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", - "plt.xlabel('Epochs') \n", - "plt.ylabel('Loss')\n", - "plt.grid(True)\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plotting our accuracy charts\n", - "import matplotlib.pyplot as plt\n", - "\n", - "history_dict = history.history\n", - "\n", - "acc_values = history_dict['accuracy']\n", - "val_acc_values = history_dict['val_accuracy']\n", - "epochs = range(1, len(loss_values) + 1)\n", - "\n", - "line1 = plt.plot(epochs, val_acc_values, label='Validation/Test Accuracy')\n", - "line2 = plt.plot(epochs, acc_values, label='Training Accuracy')\n", - "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", - "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", - "plt.xlabel('Epochs') \n", - "plt.ylabel('Accuracy')\n", - "plt.grid(True)\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:750dcb623ec0693ac4fc91ea386e409df22841d5b51ef3df09053d361d112d72 +size 84376 diff --git a/10. Data Augmentation/10.4 - Data Augmentation Demos.ipynb b/10. Data Augmentation/10.4 - Data Augmentation Demos.ipynb index a06e3a1f32f9199249658c65d9bd4b6bcf9e48da..20b673c2260e96988d6da701a0000c183daa7428 100644 --- a/10. Data Augmentation/10.4 - Data Augmentation Demos.ipynb +++ b/10. Data Augmentation/10.4 - Data Augmentation Demos.ipynb @@ -1,420 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Data Augmentation\n", - "\n", - "### Let's look at our untouched dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot images\n", - "from tensorflow.keras.datasets import mnist\n", - "from matplotlib import pyplot\n", - "\n", - "# load data\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "# create a grid of 3x3 images\n", - "for i in range(0, 9):\n", - " pyplot.subplot(330 + 1 + i)\n", - " pyplot.imshow(x_train[i], cmap=pyplot.get_cmap('gray'))\n", - " \n", - "# show the plot\n", - "pyplot.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Random Rotations\n", - "- As per Keras documentation random is 50%" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from matplotlib import pyplot\n", - "from tensorflow.keras import backend as K\n", - "\n", - "# Load data\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "# Reshape our data to be in the forma [samples, width, height, color_depth]\n", - "x_train = x_train.reshape(x_train.shape[0], 28, 28, 1)\n", - "x_test = x_test.reshape(x_test.shape[0], 28, 28, 1)\n", - "\n", - "# Change datatype to float32\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "\n", - "# Create our image generator\n", - "# Define random rotation parameter to be 60 degrees\n", - "train_datagen = ImageDataGenerator(rotation_range=60)\n", - "\n", - "# fit parameters from data\n", - "train_datagen.fit(x_train)\n", - "\n", - "# configure batch size and retrieve one batch of images\n", - "for x_batch, y_batch in train_datagen.flow(x_train, y_train, batch_size=9):\n", - " # create a grid of 3x3 images\n", - " for i in range(0, 9):\n", - " pyplot.subplot(330 + 1 + i)\n", - " pyplot.imshow(x_batch[i].reshape(28, 28), cmap=pyplot.get_cmap('gray'))# show the plot\n", - " pyplot.show()\n", - " break" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Randon Shearing and zooming" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from matplotlib import pyplot\n", - "from tensorflow.keras import backend as K\n", - "\n", - "# Load data\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "# Reshape our data to be in the forma [samples, width, height, color_depth]\n", - "x_train = x_train.reshape(x_train.shape[0], 28, 28, 1)\n", - "x_test = x_test.reshape(x_test.shape[0], 28, 28, 1)\n", - "\n", - "# Change datatype to float32\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "\n", - "# Create our image generator\n", - "# Define shearing and zooming parameters to be 0.5 each\n", - "train_datagen = ImageDataGenerator(shear_range=0.5,\n", - " zoom_range=0.5)\n", - "\n", - "# fit parameters from data\n", - "train_datagen.fit(x_train)\n", - "\n", - "# configure batch size and retrieve one batch of images\n", - "for x_batch, y_batch in train_datagen.flow(x_train, y_train, batch_size=9):\n", - " # create a grid of 3x3 images\n", - " for i in range(0, 9):\n", - " pyplot.subplot(330 + 1 + i)\n", - " pyplot.imshow(x_batch[i].reshape(28, 28), cmap=pyplot.get_cmap('gray'))# show the plot\n", - " pyplot.show()\n", - " break" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Horizontal and Vertical Flips" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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sVN45N8rlZik5usj50nhixdVlcOacdqzN2Cqu5anmxrkE6Bb5fjtgaamTnXONt8anFBMrrpIpim1CqrlxTgd6mVkPM+sIDAEmJVMsqSPFtXkptgmpuI7TObfWzM4i1+jTAbjVOTc3sZJJXSiuzUuxTU6qsyOZWXoXa0wzm7HuSHFVXJtUybhqkg8RkZh04xQRiSntVS5rZpNNNgFgxIjcKLJjjjkmOLbzzjsDsGrVKgAmTpwYHLvxxhsB+M9//pNKOUUk+5RxiojE1DSNQxMmTABg4MCB/lrBMf9v9Pui/+YPP/wQgJNPPhmAe++9t1ZFBDUitKpLly7B9siRIwEYMmRIwTlLl4bdDu+77z4ALrvsMgBWr16dRDEqobg2JzUOiYgkRTdOEZGYMv+ofsABBwBw++23A/DnP/8ZgN/85jfrnLvlllsCcPHFFwf7zjvvPADmzZsHwK677pp0EaP0SFfE17/+dQD+9re/Bft69uxZznUBWLBgAVD4WD979uxqihSX4tqc9KguIpKUzGecjzzyCBA26owaFW8d+s8++wwIG4zWX7+mPbSUmUSst17u7/add94JwHHHHRcca/n/8sknnwTC7BJg6NChQNgV7e677w6OnXDCCQB8/vnnlRQtLsW1iL32yn0k06dPD/a99NJLAEydOhWAl1/OLWH08MPhHECvv144m9vGG28cbPfo0QOAV199FYCPPvqomiK2RRmniEhSMt8BfosttgDgqaeeKvtnfF0nFHZbknR96UtfAmDw4MFtnuvje/nllwf7rrnmGgDmz58PwLHHHhsc++1vfwukXtcpEWvXrgXg008/Dfb5NoSWbQkff/xxsP3WW28VHOvYsWOwvdVWuaWDhg8fDsAf//jHBEtcPmWcIiIx6cYpIhJTm4/qZnYrcCSwwjnXJ7+vC/A3oDvwGjDYOfd27YpZ2kknnQSUN9b8Zz/7GQA//OEPg32+ESI6fr09aIS4+lFbvqJ/xx13DI4ddVRuGWw/OqhPnz7r/Lz/uWL8CLL2+KjeCLGF8LN//PHHg337778/EFar+O6E/fr1C87ZZpttAOjWLTdZ/YoVK4Jjzz33HAALFy6sUanLU07GORoY0GLfCOBx51wv4PH895Ito1Fcm9VoFNuaajPjdM49lV/oPWog0C+/PQaYClyUYLnKVirTPPHEE4Pt6667DggbhaJdXXzj0Pe+9z0g/AsYp7Epixohru+99x4ATzzxBAC9evUKjq1Zk1sae9CgQQBccsklAPz0pz8Nzrn22muB4g187bnRrxFiG3XrrbcG2wceeCAQxsfHNco3Bn3hC18AChuXatz9qGyVtqpv7ZxbBuCcW2ZmW5U6UcuNZori2rzKiq3iWp6ad0dyzo0CRkE6Q7i++tWvAmGWCWG3F59pRjNOn7H6OTt93VqzZ5zVSjKud911FwCnnx7+vvo6ygsuuAAI6zpLlKWsfdK2Wvy+Rgcm+OHOf/3rXwHo2ze3rPuSJUuCcz755JOC10ZUaav6cjPbFiD/uqKN8yUbFNfmpdgmqNKMcxIwDLg6/3p/YiWqkB925+fljHZy99nHo48+CoQt8RDWtbzwwgtAOOmHHwYIMGvWrFoVu9HUJa6+DssPfwU466yzgHBI7WOPPZZGUZpZQ/zO+p4tfojlRRflqlnPPvvsehSnYm1mnGY2DngO2NnMlpjZD8h9+P3NbAHQP/+9ZIji2rwU29orp1V9aIlDBydcFkmR4tq8FNvay/xYdc+PWfcNQdHxrr/+9a8BuOmmm0r+/MqVKwHYfvvtAdhll12CY+3oUb0unn32WaBwnlQ/1vyWW24B4LDDDgO0qF7W+c7wPo4//vGPgcIGpCw0zGrIpYhITE2Tcfo5/PxwrUr5xiI/NAxg7NixVb2nlCfahcw34Pmhlr6R6Pzzzw/Oaa2Lkp/3URqL72J02mmnATBlyhSgcGYrZZwiIk2oaTLOavk1h/bYY486l0QgXIfonnvuAeDoo48Gwu5mEM4g72d598M0IcxkpDE988wzAIwfPx4I6zohfMJ7/vnn0y9YmZRxiojEpBuniEhMmXxU96OEIHyEO/fccwHYe++9K3pP3x2pPc+q04jOOOMMAGbOnAnAlVdeGRzzj+h+ZJhf+Avggw8+SKuIUoWbb74ZgOOPPz7Yd/XVub75AwbkZsZrlBmRopRxiojElMmM08+ABDB69GigsDtDJXyHd82q01j8QAbfIX7u3LnBMb8ktOdn2gF45ZVXgDBDve2224BwATFpDP5JItoFyc/Z2b17d6AxBz0o4xQRiSmTGecdd9wRbK9atQpYN/uIyw/Z9HWcvruENAZfn/nOO++UPGfOnDnBdu/evYFw+Vg/w390vak333wz8XJKPL7+8sILLwz2Pf300wD84he/AArrPxuFMk4RkZgymXH62doBRo0aVdV7+fpS/+rr1PxfPWl8ixYtAsL1ogCGDBkCwJ///GcADj30UKCwU/UxxxwDhHOxSv1MmzYt2PYTgfh2C9/yDo3zJFjOfJzdzGyKmc0zs7lmdm5+fxcz+4eZLci/dq59cSUpimtzUlzTUc6j+lrgAufcLsA3gOFm1hstN5p1imtzUlxTUM5ExssAvzreu2Y2D+hKHZcb9WOUoXCJjEpcddVVAGy88cYA/OUvfwFg8eLFVb1vo2vEuMbl/x/07NkTKBz84Ofx/Pvf/17w6huNIFwepX///kA4w1aWNUNcL730UiCcocwvAw3wzW9+EwgbC+slVh1nfq3m3YFpaLnRpqG4NifFtXbKvnGaWSdgAnCec25NuUMTa7HcaHRonV/O1y8tO3HiRCAcQhnls9Pbb7892OcbDfx7+tni24tGimtcLYdcDh8+PDjmG4F8lyM/fO+JJ54IzvGZ6imnnALA5ZdfXtsCpyjLcZ0xYwYADzzwABA29EG4EoCfn7VeyuqOZGYbkAvCWOfcxPxuLTeacYprc1Jca8/aGmJouT9VY4DVzrnzIvuvAVY55642sxFAF+fchaXeJ/8zifwFiw659H95dthhByDMPqJ/YVvui/6bWy4ZXCxTTdBM59xetbxAuRoxruXYYIMNgm0/h+MNN9ywznmTJ08GwiGXvsvSpEmTgnP22muvgnOqyDgV1xro1KkTAMuXLw/2+fWpfL10jZWMazmP6vsBJwEvmtns/L5LyC0vOj6/9OhioLrB4pI2xbU5Ka4pKKdV/RmgVAWJlhvNKMW1OSmu6cjkyKHobCm+C4p/3PKzHH3rW98KzvGP5n40UHRce2tLBkvj+fTTT4PtkSNHArDjjjsCcMIJJwTHfCOCfy1WTeNHiTVDN6Rm9N577wGFi/j5xfr8Ejf1WrpbY9VFRGJqs3Eo0YvVubK5ATRMI0KSGiWuBx10ULDtu5X5JxKfcUbnfRwxIjd4JjpOukKKaw1tt912wfb06dOBcBG/s88+u5aXLhlXZZwiIjEp40yXMpPmpLimZMyYMUA4R2ePHj0AWLJkSS0up4xTRCQpunGKSGaMGzeOcePG8dFHH/HRRx9x4IEHBmsUpUk3ThGRmHTjFBGJKZMd4EWkffLzqm666aZ1LYcyThGRmNLOOFcC7+dfs2YLqi/3DkkUpAEprs1JcS0h1X6cAGY2I4t93rJa7rRk9fPJarnTktXPp9bl1qO6iEhMunGKiMRUjxvnqDpcMwlZLXdasvr5ZLXcacnq51PTcqdexykiknV6VBcRiUk3ThGRmFK7cZrZADObb2YL86vsNSQz62ZmU8xsnpnNNbNz8/u7mNk/zGxB/rVzvcvaKLIQW8U1PsW1leumUcdpZh2AV4D+wBJgOjDUOfdyzS8eU37N6W2dc7PMbFNgJnAUcAq5JVf98qqdnXMX1bGoDSErsVVc41FcW5dWxrkPsNA5t8g59wlwFzAwpWvH4pxb5pybld9+F5gHdCVX3jH508aQC45kJLaKa2yKayuqunHGSOW7Am9Evl+S39fQzKw7sDswDdjaObcMcsECtqpfyWor5iNa5mLbXuMKzf07m2ZcK75x5lP5PwCHA72BoWbWu9TpRfY1dD8oM+sETADOc86tqXd50hIzrpCx2LbXuEJz/86mHlfnXEVfwL7A5Mj3FwMXt3YuuQ++PX+9VennndZXnLhGzq/351rvr4aPa4W/s/X+XOv9VTKu1cyOVCyV79vyJDM7HTgd2K2KazWL1+tdgDLEjatkI65QRmwV1wIl41pNHWdZqbxzbpTLzVJydBXXkvTEiqvL4Mw57VibsVVcy1PNjXMJ0C3y/XbA0lInO+ceruJakp5YcZVMUWwTUs2NczrQy8x6mFlHYAgwKZliSR0prs1LsU1IxXWczrm1ZnYWuUafDsCtzrm5iZWsTFttletlsHRp4R/O888/P9geOXJkqmXKskaJqyRPsU1OVUtn5B+/9QjeZBTX5qXYJqNpV7ncay/VbYtIbWh2JBGRmJo245Rs++UvfwnAgQceCEC/fv0AmDp1anDOk08+WfRnRGpNGaeISEypLp1hZolfzGcijz32WMH+AQMGBNstj9XRzGbsWJxUXKdMmRJs+7hW6qCDDgIKM9QaUlybU8m4KuMUEYlJN04RkZgy3zh0+OGHA2BWOAz3rbfeqkdxpAK+Uafax/OoYo1J0ni+/OUvAzB8+PBgX7duuVGhG220EQCHHHJIcMz/nt92220F7/PBBx8E23/5y18AeP/994Ha3AuUcYqIxJT5jHPjjTcG8HMIMmlSbujtnDlz6lYmqT/fjUkaS8eOHQH41a9+BcAPfvADADbffPOyft5nnOecc07Jc0aMyE1s/+abbwLwxz/+MTj2m9/8JmaJi1PGKSISUyYzzi233DLYPuOMMwD48MMPAfjd735XlzJJ+nz9ZbG60STrS6U6O++8c7A9fvx4APr06VPy/GeeeQaAV155BYDZs2cHx1oOejjxxBMB+NKXvhTs87H/yle+AsAVV1wRHFt//dwt78orr4z3j2hBGaeISEy6cYqIxNTmo7qZ3QocCaxwzvXJ7+sC/A3oDrwGDHbOvV27YhYaNmzYOvsWLlwIwPPPP7/Ose7duwPQq1evdY6tWrUKgFmzZiVYwsbXiHFtjX8s9yOCotIc/ZYFjRbbCy+8MNgu9Yi+du3aYNt3T4uOJCvFNwRFbbjhhgAcfXRutZ477rgjOOa7PY0dOxaARYsWtXmNYsrJOEcDA1rsGwE87pzrBTye/16yZTSKa7MajWJbU21mnM65p/ILvUcNBPrlt8cAU4GLEixXq0466aSSx7bddlsAzjzzzGDfKaecUnAs6r333gPCvzy+m4OvoG5WjRhXSUajxNZnlz7zi/Kd071NNtkk2B41ahQA3/72t4GwkahcH330EQDjxo0D4LDDDguO+XvHDjvsAFSecVbaqr61c24ZgHNumZltVepELTeaKYpr8yortopreWreHck5NwoYBcnNtuLXGcq/JxAOuXrxxRcB6Ny5c3DOeuvlaiR8Pdlrr70WHDv55JMB+NrXvgbAI488AhTWpc2YMSOJYjeVWsS1Nb6LSbTeq1h9p1QnybieffbZAGy22WbBvo8//hgI2yn872a0HtJ3I3r22WeBsAsTwE033QTA/Pnz27x+//79Aejbt28bZ8ZXaav6cjPbFiD/uiK5IkkdKa7NS7FNUKUZ5yRgGHB1/vX+xErUij322AOATp06Bft8i2rLvyrROsrLLrsMKD7hw6mnngrADTfcAIR1nE888URwjs9sZs6cWVX5M6AucW052zuU7sAe3a/W9FhSj+0222yzzr4NNtgACFvRH3jgAaBwko7LL78cgD333BOAH/3oR8Ex3+Hd15HeeeedQDgABuC0004DoEuXLkDY6R3C1XAXL15c2T8qr82M08zGAc8BO5vZEjP7AbkPv7+ZLQD657+XDFFcm5diW3vltKoPLXHo4ITLIilSXJuXYlt7mRqr3rt3byCcEQnWfVzz3Yt8ug7ldWfwy2v4bkzRaxxwwAFAu3hUr6toY0+1j+H+cU/qx1d3HXnkkcG+Tz75BIDly5cXnOsbZQGmTZsGwPe+9z2gcMDLfvvtB4Tdl37yk5+UvP4777wDwL333hvs83NZvPrqq3H+KevQkEsRkZgytTMcdrcAAAatSURBVFjbxIkTARg4cGCwz5ffdzE67rjjgMqzw+eeew6AvffeO9jnuzjtvvvuFb1nhBb1isl3P4o725HPOFNaMlhxLcI3zkyfPj3Y54c/33PPPUD4+1qugw8uv7bBZ7UvvfRSrGtEaLE2EZGkZKqO0/+1KuaFF14Aqq+HnDBhAlCYcUr9+HrPuJmn74LmpZR5SsTq1asBuPnmm4N91157LQD77LMPEHZZ+t///lfWez7++ONJFrFiyjhFRGLSjVNEJKZMPar7MePRRpoVK3Ijx/yiT9XyS3FElxtuufSwpM839sRtJNIje/35RdMAPvvsMwC23357AHbbbTeg/Ef1RqGMU0Qkpkx1R/Id4KMVxH7hNj/2dcCA3Pytxcalt+b003MzafmlRP1fRoATTjgBgLvvvruCUhdQt5UKJfX/NNoxPsHsU3Et07x58wDYaaedgDAbPeKII4Jzqug+lDR1RxIRSUqm6jhffvllAA455JBgn88+3347t3xKOd2RNtpoo2D7ootyk2D7tUi86PyACWSaUqHW6jT9U4VfMrZlfWYx0RmYJH1+qV4/q1HXrl2BwuV6i80Y32iUcYqIxNRmHaeZdQNuB7YBPgdGOeduqmTVvFrUmfhM0c8M7Ver9PNrAgwaNAgIJ+6Izue57777tiwjAD179gz2RWeMr1LD1IU1ely9YjO/t+Q7yUfrtcvpMJ/gsEzFtfzyAeHv7XXXXQcU1mH7J8oGWPerqjrOtcAFzrldgG8Aw82sN1o1L+sU1+akuKagzRunc26Zc25WfvtdYB7QldyqeWPyp40BjqpVISV5imtzUlzTEas7Un7J0aeAPsBi59zmkWNvO+c6l/hRf07iqb9fCMp3ju/Ro0ex6wKtd2n573//C4TLhz7//POJljOvYR7pohoxrl45j+pesS5o5XSYT2CAg+JaIT9X5ne/+91gn1+y1y+dsWbNmloXo5SScS27Vd3MOgETgPOcc2vK/c+m5UYbm+LanBTX2ior4zSzDYAHgcnOuevz++YD/fJrNG8LTHXO7dzG+9TsL9iOO+4IhB3Zo/xMR34m94cffjg4NnnyZCDsfuRnja6RhspMshBXzzfglNPlqFw+Q01gmWHFtUJbbLEFULjc7+ab5xLjhx56CIDjjz8+OOZXeEhJ5Y1DlvtTdQswzwchz6+aBymuiCjJUFybk+KajnK6I+0PPA28SK57A8AlwDRgPLA9sBg41jm3uo33au/ruTZMZpLVuEbrOuNO+NFSgpO3KK5VinYJu/TSSwuO1ahrYDkqr+N0zj0DlPofplXzMkpxbU6Kazo0ckhEJKZMzY7UBBrmkS5J9YprnK5KfpRQtMtS3Bm0WqG4Vim6HPcbb7wBhI1El1xySXDst7/9bVpFAs2OJCKSHGWc6VJm0pwU1wQdfvjhADz44IPrHOvQoUOaRVHGKSKSlEzNxykizW/OnDlAODv8ypUr61mcopRxiojEpIxTRBrK0qVLgXAlzEakjFNEJCbdOEVEYtKNU0QkJt04RURiSrtxaCXwfv41a7ag+nLvkERBGpDi2pwU1xJSHTkEYGYzsjjKIqvlTktWP5+sljstWf18al1uPaqLiMSkG6eISEz1uHGOqsM1k5DVcqclq59PVsudlqx+PjUtd+p1nCIiWadHdRGRmFK7cZrZADObb2YLzWxEWteNy8y6mdkUM5tnZnPN7Nz8/i5m9g8zW5B/7VzvsjaKLMRWcY1PcW3lumk8qptZB+AVoD+wBJgODHXOvVzzi8eUX3N6W+fcLDPbFJgJHAWcAqx2zl2d/0/U2Tl3UR2L2hCyElvFNR7FtXVpZZz7AAudc4ucc58AdwEDU7p2LM65Zc65Wfntd4F5QFdy5R2TP20MueBIRmKruMamuLYirRtnV+CNyPdL8vsampl1B3Yntyb11s65ZZALFrBV/UrWUDIXW8W1LIprK9K6cRZb57mhm/PNrBMwATjPObem3uVpYJmKreJaNsW1FWndOJcA3SLfbwcsTenasZnZBuSCMNY5NzG/e3m+PsXXq6yoV/kaTGZiq7jGori2Iq0b53Sgl5n1MLOOwBBgUkrXjsXMDLgFmOecuz5yaBIwLL89DLg/7bI1qEzEVnGNTXFt7bppdYA3syOAG4EOwK3OuatSuXBMZrY/8DTwIvB5fvcl5OpNxgPbA4uBY51zq+tSyAaThdgqrvEprq1cVyOHRETi0cghEZGYdOMUEYlJN04RkZh04xQRiUk3ThGRmHTjFBGJSTdOEZGYdOMUEYnp/wM6qn2w8AQFsAAAAABJRU5ErkJggg==\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from matplotlib import pyplot\n", - "from tensorflow.keras import backend as K\n", - "\n", - "# Load data\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "# Reshape our data to be in the forma [samples, width, height, color_depth]\n", - "x_train = x_train.reshape(x_train.shape[0], 28, 28, 1)\n", - "x_test = x_test.reshape(x_test.shape[0], 28, 28, 1)\n", - "\n", - "# Change datatype to float32\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "\n", - "# define data preparation\n", - "train_datagen = ImageDataGenerator(vertical_flip=True,\n", - " horizontal_flip=True)\n", - "\n", - "# fit parameters from data\n", - "train_datagen.fit(x_train)\n", - "\n", - "# configure batch size and retrieve one batch of images\n", - "for x_batch, y_batch in train_datagen.flow(x_train, y_train, batch_size=9):\n", - " # create a grid of 3x3 images\n", - " for i in range(0, 9):\n", - " pyplot.subplot(330 + 1 + i)\n", - " pyplot.imshow(x_batch[i].reshape(28, 28), cmap=pyplot.get_cmap('gray'))# show the plot\n", - " pyplot.show()\n", - " break" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Random Shifts" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from matplotlib import pyplot\n", - "from tensorflow.keras import backend as K\n", - "\n", - "# Load data\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "# Reshape our data to be in the forma [samples, width, height, color_depth]\n", - "x_train = x_train.reshape(x_train.shape[0], 28, 28, 1)\n", - "x_test = x_test.reshape(x_test.shape[0], 28, 28, 1)\n", - "\n", - "# Change datatype to float32\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "\n", - "# define data preparation\n", - "train_datagen = ImageDataGenerator(width_shift_range=0.3,\n", - " height_shift_range=0.3)\n", - "\n", - "# fit parameters from data\n", - "train_datagen.fit(x_train)\n", - "\n", - "# configure batch size and retrieve one batch of images\n", - "for x_batch, y_batch in train_datagen.flow(x_train, y_train, batch_size=9):\n", - " # create a grid of 3x3 images\n", - " for i in range(0, 9):\n", - " pyplot.subplot(330 + 1 + i)\n", - " pyplot.imshow(x_batch[i].reshape(28, 28), cmap=pyplot.get_cmap('gray'))# show the plot\n", - " pyplot.show()\n", - " break" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Applying all at once" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from matplotlib import pyplot\n", - "from tensorflow.keras import backend as K\n", - "\n", - "# Load data\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "# Reshape our data to be in the forma [samples, width, height, color_depth]\n", - "x_train = x_train.reshape(x_train.shape[0], 28, 28, 1)\n", - "x_test = x_test.reshape(x_test.shape[0], 28, 28, 1)\n", - "\n", - "# Change datatype to float32\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "\n", - "# define data preparation\n", - "train_datagen = ImageDataGenerator(\n", - " rotation_range=45,\n", - " width_shift_range=0.2,\n", - " height_shift_range=0.2,\n", - " shear_range=0.2,\n", - " zoom_range=0.2,\n", - " horizontal_flip=True,\n", - " fill_mode='nearest')\n", - "\n", - "# fit parameters from data\n", - "train_datagen.fit(x_train)\n", - "\n", - "# configure batch size and retrieve one batch of images\n", - "for x_batch, y_batch in train_datagen.flow(x_train, y_train, batch_size=9):\n", - " # create a grid of 3x3 images\n", - " for i in range(0, 9):\n", - " pyplot.subplot(330 + 1 + i)\n", - " pyplot.imshow(x_batch[i].reshape(28, 28), cmap=pyplot.get_cmap('gray'))# show the plot\n", - " pyplot.show()\n", - " break" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Read more about it at the official Keras Documentation\n", - "https://keras.io/preprocessing/image/" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Test Augmentation on a single image\n", - "- Outputs to ./preview diretory" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.preprocessing.image import ImageDataGenerator, img_to_array, load_img\n", - "\n", - "datagen = ImageDataGenerator(\n", - " rotation_range=40,\n", - " width_shift_range=0.2,\n", - " height_shift_range=0.2,\n", - " shear_range=0.2,\n", - " zoom_range=0.2,\n", - " horizontal_flip=True,\n", - " fill_mode='nearest')\n", - "\n", - "img = load_img('dog.jpeg') \n", - "x = img_to_array(img) # creating a Numpy array with shape (3, 150, 150)\n", - "x = x.reshape((1,) + x.shape) # converting to a Numpy array with shape (1, 3, 150, 150)\n", - "\n", - "i = 0\n", - "for batch in datagen.flow(x, save_to_dir='output', save_prefix='dog', save_format='jpeg'):\n", - " i += 1\n", - " if i > 35:\n", - " break " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:ddd167c1ab455569d8304594d2622e70dc2ecd8126303dee640445cbe021ac54 +size 88984 diff --git a/11. Confusion Matrix and Viewing Misclassifications/11.1 - 11.2 - MNIST Confusion Matrix Analysis and Viewing Misclassifications.ipynb b/11. Confusion Matrix and Viewing Misclassifications/11.1 - 11.2 - MNIST Confusion Matrix Analysis and Viewing Misclassifications.ipynb index 9067d6d39e948c29ccc9ce992490f9b58526286e..20ff48c8aa21aaed4c4ffd0bf6f204d2b253a1d7 100644 --- a/11. Confusion Matrix and Viewing Misclassifications/11.1 - 11.2 - MNIST Confusion Matrix Analysis and Viewing Misclassifications.ipynb +++ b/11. Confusion Matrix and Viewing Misclassifications/11.1 - 11.2 - MNIST Confusion Matrix Analysis and Viewing Misclassifications.ipynb @@ -1,484 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Confusion Matrix Analysis and Viewing Misclassifications" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "x_train shape: (60000, 28, 28, 1)\n", - "60000 train samples\n", - "10000 test samples\n", - "Number of Classes: 10\n", - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d (Conv2D) (None, 26, 26, 32) 320 \n", - "_________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 24, 24, 64) 18496 \n", - "_________________________________________________________________\n", - "max_pooling2d (MaxPooling2D) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "dropout (Dropout) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 9216) 0 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 128) 1179776 \n", - "_________________________________________________________________\n", - "dropout_1 (Dropout) (None, 128) 0 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 10) 1290 \n", - "=================================================================\n", - "Total params: 1,199,882\n", - "Trainable params: 1,199,882\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n", - "Train on 60000 samples, validate on 10000 samples\n", - "60000/60000 [==============================] - 117s 2ms/sample - loss: 0.7767 - accuracy: 0.7570 - val_loss: 0.2555 - val_accuracy: 0.9265\n", - "Test loss: 0.25551080925762654\n", - "Test accuracy: 0.9265\n" - ] - } - ], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "import tensorflow as tf\n", - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Flatten\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", - "from tensorflow.keras.optimizers import SGD \n", - "from tensorflow.keras.utils import to_categorical\n", - "\n", - "# Training Parameters\n", - "batch_size = 64\n", - "epochs = 1\n", - "\n", - "# loads the MNIST dataset\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "# Lets store the number of rows and columns\n", - "img_rows = x_train[0].shape[0]\n", - "img_cols = x_train[1].shape[0]\n", - "\n", - "# Getting our date in the right 'shape' needed for Keras\n", - "# We need to add a 4th dimenion to our date thereby changing our\n", - "# Our original image shape of (60000,28,28) to (60000,28,28,1)\n", - "x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n", - "x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n", - "\n", - "# store the shape of a single image \n", - "input_shape = (img_rows, img_cols, 1)\n", - "\n", - "# change our image type to float32 data type\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "\n", - "# Normalize our data by changing the range from (0 to 255) to (0 to 1)\n", - "x_train /= 255\n", - "x_test /= 255\n", - "\n", - "print('x_train shape:', x_train.shape)\n", - "print(x_train.shape[0], 'train samples')\n", - "print(x_test.shape[0], 'test samples')\n", - "\n", - "# Now we one hot encode outputs\n", - "y_train = to_categorical(y_train)\n", - "y_test = to_categorical(y_test)\n", - "\n", - "# Let's count the number columns in our hot encoded matrix \n", - "print (\"Number of Classes: \" + str(y_test.shape[1]))\n", - "\n", - "num_classes = y_test.shape[1]\n", - "num_pixels = x_train.shape[1] * x_train.shape[2]\n", - "\n", - "# create model\n", - "model = Sequential()\n", - "\n", - "model.add(Conv2D(32, kernel_size=(3, 3), activation='relu', input_shape=input_shape))\n", - "model.add(Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.25))\n", - "model.add(Flatten())\n", - "model.add(Dense(128, activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(num_classes, activation='softmax'))\n", - "\n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = SGD(0.01),\n", - " metrics = ['accuracy'])\n", - "\n", - "# We can use the summary function to display our model layers and parameters\n", - "print(model.summary())\n", - "\n", - "history = model.fit(x_train, y_train,\n", - " batch_size=batch_size,\n", - " epochs=epochs,\n", - " verbose=1,\n", - " validation_data=(x_test, y_test))\n", - "\n", - "score = model.evaluate(x_test, y_test, verbose=0)\n", - "print('Test loss:', score[0])\n", - "print('Test accuracy:', score[1])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Let's save our history file" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import pickle \n", - "\n", - "pickle_out = open(\"MNIST_history.pickle\",\"wb\")\n", - "pickle.dump(history.history, pickle_out)\n", - "pickle_out.close()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Loading out saved history is as simple as these two lines" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'loss': [0.7766780077775319], 'accuracy': [0.75701666], 'val_loss': [0.255510806620121], 'val_accuracy': [0.9265]}\n" - ] - } - ], - "source": [ - "pickle_in = open(\"MNIST_history.pickle\",\"rb\")\n", - "saved_history = pickle.load(pickle_in)\n", - "print(saved_history)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plotting our loss charts\n", - "import matplotlib.pyplot as plt\n", - "\n", - "history_dict = history.history\n", - "\n", - "loss_values = history_dict['loss']\n", - "val_loss_values = history_dict['val_loss']\n", - "epochs = range(1, len(loss_values) + 1)\n", - "\n", - "line1 = plt.plot(epochs, val_loss_values, label='Validation/Test Loss')\n", - "line2 = plt.plot(epochs, loss_values, label='Training Loss')\n", - "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", - "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", - "plt.xlabel('Epochs') \n", - "plt.ylabel('Loss')\n", - "plt.grid(True)\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plotting our accuracy charts\n", - "import matplotlib.pyplot as plt\n", - "\n", - "history_dict = history.history\n", - "\n", - "acc_values = history_dict['accuracy']\n", - "val_acc_values = history_dict['val_accuracy']\n", - "epochs = range(1, len(loss_values) + 1)\n", - "\n", - "line1 = plt.plot(epochs, val_acc_values, label='Validation/Test Accuracy')\n", - "line2 = plt.plot(epochs, acc_values, label='Training Accuracy')\n", - "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", - "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", - "plt.xlabel('Epochs') \n", - "plt.ylabel('Accuracy')\n", - "plt.grid(True)\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Now let's display our Confusion Matrix and Classification Report" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " precision recall f1-score support\n", - "\n", - " 0 0.94 0.98 0.96 980\n", - " 1 0.95 0.99 0.97 1135\n", - " 2 0.94 0.91 0.92 1032\n", - " 3 0.88 0.94 0.91 1010\n", - " 4 0.91 0.94 0.93 982\n", - " 5 0.96 0.85 0.90 892\n", - " 6 0.93 0.96 0.95 958\n", - " 7 0.90 0.94 0.92 1028\n", - " 8 0.92 0.88 0.90 974\n", - " 9 0.95 0.87 0.91 1009\n", - "\n", - " accuracy 0.93 10000\n", - " macro avg 0.93 0.93 0.93 10000\n", - "weighted avg 0.93 0.93 0.93 10000\n", - "\n", - "[[ 964 0 1 3 0 2 7 1 2 0]\n", - " [ 0 1120 4 2 0 1 3 0 5 0]\n", - " [ 12 4 940 14 10 0 11 19 21 1]\n", - " [ 1 2 11 950 1 5 0 18 17 5]\n", - " [ 1 4 6 0 925 1 18 3 2 22]\n", - " [ 18 3 4 60 10 754 16 4 19 4]\n", - " [ 13 3 4 2 3 9 920 1 3 0]\n", - " [ 2 21 20 2 9 0 0 963 3 8]\n", - " [ 7 10 8 33 10 11 11 24 856 4]\n", - " [ 11 9 3 18 49 3 1 39 3 873]]\n" - ] - } - ], - "source": [ - "from sklearn.metrics import classification_report,confusion_matrix\n", - "import numpy as np\n", - "\n", - "y_pred = model.predict_classes(x_test)\n", - "\n", - "print(classification_report(np.argmax(y_test,axis=1), y_pred))\n", - "print(confusion_matrix(np.argmax(y_test,axis=1), y_pred))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Displaying our misclassified data" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Indices of misclassifed data are: \n", - "\n", - "(array([ 8, 33, 62, 66, 73, 77, 121, 124, 151, 193, 195,\n", - " 217, 233, 241, 247, 259, 290, 300, 313, 318, 320, 321,\n", - " 340, 341, 349, 352, 359, 362, 381, 403, 406, 412, 435,\n", - " 444, 445, 448, 464, 478, 479, 483, 495, 502, 507, 511,\n", - " 515, 528, 530, 543, 551, 565, 578, 582, 591, 606, 610,\n", - " 613, 619, 624, 628, 659, 667, 684, 689, 691, 707, 717,\n", - " 720, 728, 740, 791, 839, 844, 924, 939, 944, 947, 950,\n", - " 951, 956, 965, 975, 982, 992, 1003, 1014, 1032, 1033, 1039,\n", - " 1044, 1062, 1068, 1082, 1089, 1101, 1107, 1112, 1114, 1119, 1128,\n", - " 1152, 1181, 1192, 1198, 1200, 1204, 1206, 1224, 1226, 1228, 1232,\n", - " 1234, 1242, 1243, 1247, 1253, 1256, 1260, 1270, 1272, 1283, 1289,\n", - " 1299, 1319, 1326, 1378, 1393, 1402, 1409, 1423, 1433, 1440, 1453,\n", - " 1465, 1466, 1476, 1500, 1514, 1525, 1527, 1530, 1549, 1553, 1554,\n", - " 1559, 1581, 1587, 1601, 1609, 1621, 1634, 1640, 1678, 1681, 1709,\n", - " 1716, 1717, 1718, 1722, 1732, 1737, 1751, 1754, 1772, 1782, 1790,\n", - " 1819, 1850, 1874, 1878, 1899, 1901, 1917, 1930, 1938, 1940, 1948,\n", - " 1952, 1955, 1968, 1970, 1973, 1982, 1984, 2016, 2024, 2035, 2037,\n", - " 2040, 2043, 2044, 2052, 2053, 2068, 2070, 2093, 2098, 2099, 2109,\n", - " 2118, 2125, 2129, 2130, 2135, 2138, 2177, 2182, 2183, 2185, 2186,\n", - " 2189, 2192, 2208, 2215, 2224, 2232, 2266, 2272, 2293, 2299, 2325,\n", - " 2339, 2362, 2369, 2371, 2378, 2381, 2386, 2387, 2393, 2394, 2395,\n", - " 2404, 2406, 2408, 2414, 2422, 2425, 2447, 2460, 2488, 2515, 2526,\n", - " 2528, 2542, 2545, 2556, 2559, 2560, 2578, 2582, 2586, 2589, 2598,\n", - " 2604, 2607, 2610, 2631, 2635, 2648, 2654, 2670, 2695, 2698, 2730,\n", - " 2740, 2751, 2758, 2760, 2770, 2771, 2780, 2810, 2812, 2832, 2850,\n", - " 2863, 2896, 2905, 2914, 2925, 2927, 2930, 2945, 2953, 2970, 2986,\n", - " 2990, 2995, 3005, 3060, 3073, 3078, 3100, 3102, 3110, 3114, 3117,\n", - " 3130, 3132, 3133, 3136, 3139, 3145, 3157, 3167, 3189, 3206, 3225,\n", - " 3240, 3269, 3284, 3289, 3316, 3319, 3329, 3330, 3333, 3369, 3405,\n", - " 3406, 3414, 3436, 3475, 3503, 3520, 3549, 3552, 3558, 3565, 3567,\n", - " 3573, 3578, 3580, 3597, 3598, 3604, 3618, 3629, 3662, 3664, 3681,\n", - " 3687, 3702, 3709, 3716, 3718, 3726, 3732, 3751, 3757, 3763, 3767,\n", - " 3769, 3776, 3778, 3780, 3796, 3806, 3808, 3811, 3817, 3818, 3821,\n", - " 3833, 3836, 3838, 3846, 3848, 3853, 3855, 3862, 3869, 3876, 3893,\n", - " 3902, 3906, 3924, 3926, 3929, 3941, 3946, 3954, 3962, 3968, 3976,\n", - " 3984, 3985, 3998, 4000, 4031, 4063, 4065, 4068, 4072, 4075, 4076,\n", - " 4078, 4093, 4111, 4131, 4140, 4145, 4152, 4154, 4159, 4163, 4176,\n", - " 4201, 4205, 4211, 4212, 4224, 4238, 4248, 4255, 4265, 4271, 4272,\n", - " 4284, 4289, 4294, 4297, 4300, 4302, 4306, 4313, 4315, 4317, 4341,\n", - " 4355, 4360, 4374, 4380, 4405, 4425, 4433, 4435, 4449, 4451, 4454,\n", - " 4477, 4497, 4498, 4500, 4505, 4521, 4523, 4540, 4548, 4567, 4571,\n", - " 4575, 4601, 4615, 4633, 4639, 4640, 4662, 4671, 4724, 4731, 4735,\n", - " 4751, 4785, 4807, 4808, 4814, 4823, 4828, 4829, 4837, 4863, 4874,\n", - " 4876, 4879, 4880, 4886, 4890, 4910, 4943, 4950, 4952, 4956, 4966,\n", - " 4978, 4990, 5001, 5009, 5015, 5065, 5067, 5068, 5100, 5135, 5140,\n", - " 5210, 5217, 5246, 5299, 5311, 5331, 5360, 5457, 5522, 5562, 5600,\n", - " 5601, 5611, 5634, 5642, 5677, 5734, 5735, 5749, 5757, 5821, 5842,\n", - " 5852, 5862, 5867, 5874, 5887, 5888, 5891, 5913, 5922, 5936, 5937,\n", - " 5955, 5957, 5972, 5973, 5981, 5982, 5985, 6035, 6042, 6043, 6059,\n", - " 6071, 6081, 6091, 6112, 6124, 6157, 6166, 6168, 6172, 6173, 6304,\n", - " 6347, 6385, 6400, 6421, 6425, 6426, 6505, 6517, 6555, 6560, 6568,\n", - " 6569, 6571, 6574, 6576, 6577, 6597, 6598, 6603, 6625, 6641, 6642,\n", - " 6651, 6662, 6706, 6721, 6725, 6740, 6744, 6746, 6755, 6765, 6775,\n", - " 6784, 6785, 6793, 6817, 6870, 6872, 6894, 6895, 6906, 6919, 6926,\n", - " 7003, 7035, 7043, 7094, 7121, 7130, 7198, 7212, 7235, 7372, 7432,\n", - " 7434, 7451, 7459, 7473, 7492, 7498, 7579, 7580, 7637, 7672, 7673,\n", - " 7756, 7777, 7779, 7786, 7797, 7821, 7823, 7849, 7859, 7886, 7888,\n", - " 7905, 7918, 7921, 7945, 7991, 8020, 8044, 8062, 8072, 8081, 8091,\n", - " 8094, 8095, 8165, 8183, 8196, 8198, 8246, 8279, 8332, 8339, 8408,\n", - " 8410, 8426, 8431, 8457, 8477, 8520, 8522, 8530, 8639, 8912, 9007,\n", - " 9009, 9010, 9015, 9016, 9019, 9024, 9026, 9036, 9045, 9168, 9211,\n", - " 9245, 9280, 9316, 9422, 9427, 9433, 9446, 9456, 9465, 9482, 9530,\n", - " 9554, 9560, 9587, 9610, 9624, 9634, 9642, 9664, 9679, 9680, 9692,\n", - " 9698, 9700, 9712, 9716, 9719, 9726, 9729, 9740, 9741, 9744, 9745,\n", - " 9749, 9751, 9752, 9755, 9768, 9770, 9777, 9779, 9780, 9792, 9808,\n", - " 9811, 9832, 9839, 9858, 9867, 9874, 9883, 9888, 9890, 9892, 9893,\n", - " 9905, 9925, 9941, 9944, 9959, 9970, 9975, 9980, 9982], dtype=int64),)\n" - ] - } - ], - "source": [ - "import cv2\n", - "import numpy as np\n", - "from tensorflow.keras.datasets import mnist\n", - "\n", - "# loads the MNIST dataset\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "# Use numpy to create an array that stores a value of 1 when a misclassification occurs\n", - "result = np.absolute(y_test - y_pred)\n", - "result_indices = np.nonzero(result > 0)\n", - "\n", - "# Display the indices of mislassifications\n", - "print(\"Indices of misclassifed data are: \\n\\n\" + str(result_indices))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Displaying the misclassifications" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "import cv2 \n", - "#from keras.models import load_model\n", - "\n", - "#classifier = load_model('/home/deeplearningcv/DeepLearningCV/Trained Models/mnist_simple_cnn.h5')\n", - "\n", - "def draw_test(name, pred, input_im, true_label):\n", - " BLACK = [0,0,0]\n", - " expanded_image = cv2.copyMakeBorder(input_im, 0, 0, 0, imageL.shape[0]*2 ,cv2.BORDER_CONSTANT,value=BLACK)\n", - " expanded_image = cv2.cvtColor(expanded_image, cv2.COLOR_GRAY2BGR)\n", - " cv2.putText(expanded_image, str(pred), (152, 70) , cv2.FONT_HERSHEY_COMPLEX_SMALL,4, (0,255,0), 2)\n", - " cv2.putText(expanded_image, str(true_label), (250, 70) , cv2.FONT_HERSHEY_COMPLEX_SMALL,4, (0,0,255), 2)\n", - " cv2.imshow(name, expanded_image)\n", - "\n", - "for i in range(0,10):\n", - "\n", - " input_im = x_test[result_indices[0][i]]\n", - " #print(y_test[result_indices[0][i]])\n", - " imageL = cv2.resize(input_im, None, fx=4, fy=4, interpolation = cv2.INTER_CUBIC) \n", - " input_im = input_im.reshape(1,28,28,1) \n", - " \n", - " ## Get Prediction\n", - " res = str(model.predict_classes(input_im, 1, verbose = 0)[0])\n", - " draw_test(\"Prediction\", res, imageL, y_test[result_indices[0][i]]) \n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:c47f97002861e52ea07c9f8fe4532c4528ef53fa510b089837a705770ca7d5d5 +size 45598 diff --git a/12. Optimizers, Adaptive Learning Rate & Callbacks/12.2 Checkpointing Models and Early Stopping.ipynb b/12. Optimizers, Adaptive Learning Rate & Callbacks/12.2 Checkpointing Models and Early Stopping.ipynb index 1fb18e1c14473e18df0c0f24debd4bfcbb3980a6..f8220fa307efa92013cf706f4f6f41b173c6c3f1 100644 --- a/12. Optimizers, Adaptive Learning Rate & Callbacks/12.2 Checkpointing Models and Early Stopping.ipynb +++ b/12. Optimizers, Adaptive Learning Rate & Callbacks/12.2 Checkpointing Models and Early Stopping.ipynb @@ -1,277 +1,3 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "x_train shape: (60000, 28, 28, 1)\n", - "60000 train samples\n", - "10000 test samples\n", - "Number of Classes: 10\n", - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d (Conv2D) (None, 26, 26, 32) 320 \n", - "_________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 24, 24, 64) 18496 \n", - "_________________________________________________________________\n", - "max_pooling2d (MaxPooling2D) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "dropout (Dropout) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 9216) 0 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 128) 1179776 \n", - "_________________________________________________________________\n", - "dropout_1 (Dropout) (None, 128) 0 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 10) 1290 \n", - "=================================================================\n", - "Total params: 1,199,882\n", - "Trainable params: 1,199,882\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.utils import to_categorical\n", - "import tensorflow as tf\n", - "from tensorflow.keras.optimizers import SGD \n", - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Flatten\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", - "from tensorflow.keras import backend as K\n", - "from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping\n", - "import os\n", - "\n", - "# Training Parameters\n", - "batch_size = 64\n", - "epochs = 15\n", - "\n", - "# loads the MNIST dataset\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "# Lets store the number of rows and columns\n", - "img_rows = x_train[0].shape[0]\n", - "img_cols = x_train[1].shape[0]\n", - "\n", - "# Getting our date in the right 'shape' needed for Keras\n", - "# We need to add a 4th dimenion to our date thereby changing our\n", - "# Our original image shape of (60000,28,28) to (60000,28,28,1)\n", - "x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n", - "x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n", - "\n", - "# store the shape of a single image \n", - "input_shape = (img_rows, img_cols, 1)\n", - "\n", - "# change our image type to float32 data type\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "\n", - "# Normalize our data by changing the range from (0 to 255) to (0 to 1)\n", - "x_train /= 255\n", - "x_test /= 255\n", - "\n", - "print('x_train shape:', x_train.shape)\n", - "print(x_train.shape[0], 'train samples')\n", - "print(x_test.shape[0], 'test samples')\n", - "\n", - "# Now we one hot encode outputs\n", - "y_train = to_categorical(y_train)\n", - "y_test = to_categorical(y_test)\n", - "\n", - "# Let's count the number columns in our hot encoded matrix \n", - "print (\"Number of Classes: \" + str(y_test.shape[1]))\n", - "\n", - "num_classes = y_test.shape[1]\n", - "num_pixels = x_train.shape[1] * x_train.shape[2]\n", - "\n", - "# create model\n", - "model = Sequential()\n", - "\n", - "model.add(Conv2D(32, kernel_size=(3, 3),\n", - " activation='relu',\n", - " input_shape=input_shape))\n", - "model.add(Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.25))\n", - "model.add(Flatten())\n", - "model.add(Dense(128, activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(num_classes, activation='softmax'))\n", - "\n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = SGD(0.01),\n", - " metrics = ['accuracy'])\n", - "\n", - "print(model.summary())\n", - "\n", - " \n", - "checkpoint = ModelCheckpoint(\"MNIST_Checkpoint.h5\",\n", - " monitor=\"val_loss\",\n", - " mode=\"min\",\n", - " save_best_only = True,\n", - " verbose=1)\n", - "callbacks = [checkpoint]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Train on 60000 samples, validate on 10000 samples\n", - "\n", - "Epoch 00001: val_loss improved from inf to 0.24715, saving model to MNIST_Checkpoint.h5\n", - "60000/60000 - 97s - loss: 0.7167 - accuracy: 0.7759 - val_loss: 0.2471 - val_accuracy: 0.9275\n", - "Test loss: 0.24714763118624689\n", - "Test accuracy: 0.9275\n" - ] - } - ], - "source": [ - "history = model.fit(x_train, y_train,\n", - " batch_size = batch_size,\n", - " epochs = epochs,\n", - " verbose = 2,\n", - " callbacks = callbacks,\n", - " validation_data = (x_test, y_test))\n", - "\n", - "score = model.evaluate(x_test, y_test, verbose=0)\n", - "print('Test loss:', score[0])\n", - "print('Test accuracy:', score[1])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Adding Multiple Call Backs & Early Stopping\n", - "\n", - "We can use other call back methods to monitor our training process such as **Early Stopping**. Checkout the Keras documentation for more:\n", - "- https://keras.io/callbacks/" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.callbacks import EarlyStopping\n", - "\n", - "earlystop = EarlyStopping(monitor = 'val_loss', # value being monitored for improvement\n", - " min_delta = 0, #Abs value and is the min change required before we stop\n", - " patience = 3, #Number of epochs we wait before stopping \n", - " verbose = 1,\n", - " restore_best_weights = True) #keeps the best weigths once stopped\n", - "\n", - "# we put our call backs into a callback list\n", - "callbacks = [earlystop, checkpoint]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### We can attempt to run again to see if it worked!" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Train on 60000 samples, validate on 10000 samples\n", - "Epoch 1/3\n", - "\n", - "Epoch 00001: val_loss improved from 0.24715 to 0.18733, saving model to MNIST_Checkpoint.h5\n", - "60000/60000 - 105s - loss: 0.3593 - accuracy: 0.8905 - val_loss: 0.1873 - val_accuracy: 0.9437\n", - "Epoch 2/3\n", - "\n", - "Epoch 00002: val_loss improved from 0.18733 to 0.15683, saving model to MNIST_Checkpoint.h5\n", - "60000/60000 - 105s - loss: 0.3018 - accuracy: 0.9084 - val_loss: 0.1568 - val_accuracy: 0.9525\n", - "Epoch 3/3\n", - "\n", - "Epoch 00003: val_loss improved from 0.15683 to 0.13865, saving model to MNIST_Checkpoint.h5\n", - "60000/60000 - 108s - loss: 0.2658 - accuracy: 0.9205 - val_loss: 0.1386 - val_accuracy: 0.9578\n", - "Test loss: 0.1386499687358737\n", - "Test accuracy: 0.9578\n" - ] - } - ], - "source": [ - "history = model.fit(x_train, y_train,\n", - " batch_size=64,\n", - " epochs=3,\n", - " verbose=2,\n", - " callbacks = callbacks,\n", - " validation_data=(x_test, y_test))\n", - "\n", - "\n", - "score = model.evaluate(x_test, y_test, verbose=0)\n", - "print('Test loss:', score[0])\n", - "print('Test accuracy:', score[1])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Another useful callback is Reducing our learning Rate on Plateau\n", - "\n", - "We can avoid having our oscillate around the global minimum by attempting to reduce the Learn Rate by a certain fact. If no improvement is seen in our monitored metric (val_loss typically), we wait a certain number of epochs (patience) then this callback reduces the learning rate by a factor" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.callbacks import ReduceLROnPlateau\n", - "\n", - "reduce_lr = ReduceLROnPlateau(monitor = 'val_loss', factor = 0.2, patience = 3, verbose = 1, min_delta = 0.0001)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:ce5402efc021bce040ca722a277c1a8559913d052ac4f9255dd67b530ea6a77f +size 10213 diff --git a/12. Optimizers, Adaptive Learning Rate & Callbacks/12.3 Building a Fruit Classifer.ipynb b/12. Optimizers, Adaptive Learning Rate & Callbacks/12.3 Building a Fruit Classifer.ipynb index 9207d68fce601ef9478155981431c01321b3706e..06c5f69d25e67e99b51bb3a9350cbda4ca16f3bd 100644 --- a/12. Optimizers, Adaptive Learning Rate & Callbacks/12.3 Building a Fruit Classifer.ipynb +++ b/12. Optimizers, Adaptive Learning Rate & Callbacks/12.3 Building a Fruit Classifer.ipynb @@ -1,515 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Training our Fruit Classifer\n", - "### Experimenting with Callbacks\n", - "- Let's create our data generators" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 41322 images belonging to 81 classes.\n", - "Found 13877 images belonging to 81 classes.\n" - ] - } - ], - "source": [ - "from __future__ import print_function\n", - "import tensorflow as tff\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "import os\n", - "\n", - "num_classes = 81\n", - "img_rows, img_cols = 32, 32\n", - "batch_size = 16\n", - "\n", - "\n", - "train_data_dir = './fruits-360/train'\n", - "validation_data_dir = './fruits-360/validation'\n", - "\n", - "# Let's use some data augmentaiton \n", - "train_datagen = ImageDataGenerator(\n", - " rescale=1./255,\n", - " rotation_range=30,\n", - " width_shift_range=0.3,\n", - " height_shift_range=0.3,\n", - " horizontal_flip=True,\n", - " fill_mode='nearest')\n", - " \n", - "validation_datagen = ImageDataGenerator(rescale=1./255)\n", - " \n", - "train_generator = train_datagen.flow_from_directory(\n", - " train_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical',\n", - " shuffle=True)\n", - " \n", - "validation_generator = validation_datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical',\n", - " shuffle=False)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's define our model" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d (Conv2D) (None, 32, 32, 32) 896 \n", - "_________________________________________________________________\n", - "activation (Activation) (None, 32, 32, 32) 0 \n", - "_________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 30, 30, 32) 9248 \n", - "_________________________________________________________________\n", - "activation_1 (Activation) (None, 30, 30, 32) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d (MaxPooling2D) (None, 15, 15, 32) 0 \n", - "_________________________________________________________________\n", - "dropout (Dropout) (None, 15, 15, 32) 0 \n", - "_________________________________________________________________\n", - "conv2d_2 (Conv2D) (None, 15, 15, 64) 18496 \n", - "_________________________________________________________________\n", - "activation_2 (Activation) (None, 15, 15, 64) 0 \n", - "_________________________________________________________________\n", - "conv2d_3 (Conv2D) (None, 13, 13, 64) 36928 \n", - "_________________________________________________________________\n", - "activation_3 (Activation) (None, 13, 13, 64) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_1 (MaxPooling2 (None, 6, 6, 64) 0 \n", - "_________________________________________________________________\n", - "dropout_1 (Dropout) (None, 6, 6, 64) 0 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 2304) 0 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 512) 1180160 \n", - "_________________________________________________________________\n", - "activation_4 (Activation) (None, 512) 0 \n", - "_________________________________________________________________\n", - "dropout_2 (Dropout) (None, 512) 0 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 81) 41553 \n", - "_________________________________________________________________\n", - "activation_5 (Activation) (None, 81) 0 \n", - "=================================================================\n", - "Total params: 1,287,281\n", - "Trainable params: 1,287,281\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "model = Sequential()\n", - "\n", - "# Padding = 'same' results in padding the input such that\n", - "# the output has the same length as the original input\n", - "model.add(Conv2D(32, (3, 3), padding='same',\n", - " input_shape= (img_rows, img_cols, 3)))\n", - "model.add(Activation('relu'))\n", - "model.add(Conv2D(32, (3, 3)))\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.25))\n", - "\n", - "model.add(Conv2D(64, (3, 3), padding='same'))\n", - "model.add(Activation('relu'))\n", - "model.add(Conv2D(64, (3, 3)))\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.25))\n", - "\n", - "model.add(Flatten())\n", - "model.add(Dense(512))\n", - "model.add(Activation('relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(num_classes))\n", - "model.add(Activation('softmax'))\n", - "\n", - "# initiate RMSprop optimizer and configure some parameters\n", - "#opt = keras.optimizers.rmsprop(lr=0.0001, decay=1e-6)\n", - "print(model.summary())" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "Train for 2582 steps, validate for 867 steps\n", - "2581/2582 [============================>.] - ETA: 0s - loss: 0.6169 - accuracy: 0.8048\n", - "Epoch 00001: val_loss improved from inf to 0.42778, saving model to fruits_fresh_cnn_1.h5\n", - "2582/2582 [==============================] - 221s 86ms/step - loss: 0.6169 - accuracy: 0.8048 - val_loss: 0.4278 - val_accuracy: 0.8507\n" - ] - } - ], - "source": [ - "from tensorflow.keras.optimizers import RMSprop, SGD\n", - "from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n", - "\n", - " \n", - "checkpoint = ModelCheckpoint(\"fruits_fresh_cnn_1.h5\",\n", - " monitor=\"val_loss\",\n", - " mode=\"min\",\n", - " save_best_only = True,\n", - " verbose=1)\n", - "\n", - "earlystop = EarlyStopping(monitor = 'val_loss', \n", - " min_delta = 0, \n", - " patience = 3,\n", - " verbose = 1,\n", - " restore_best_weights = True)\n", - "\n", - "reduce_lr = ReduceLROnPlateau(monitor = 'val_loss',\n", - " factor = 0.2,\n", - " patience = 3,\n", - " verbose = 1,\n", - " min_delta = 0.0001)\n", - "\n", - "# we put our call backs into a callback list\n", - "callbacks = [earlystop, checkpoint, reduce_lr]\n", - "\n", - "# We use a very small learning rate \n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = RMSprop(lr = 0.001),\n", - " metrics = ['accuracy'])\n", - "\n", - "nb_train_samples = 41322\n", - "nb_validation_samples = 13877\n", - "epochs = 1\n", - "\n", - "history = model.fit_generator(\n", - " train_generator,\n", - " steps_per_epoch = nb_train_samples // batch_size,\n", - " epochs = epochs,\n", - " callbacks = callbacks,\n", - " validation_data = validation_generator,\n", - " validation_steps = nb_validation_samples // batch_size)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Displaying our Confusion Matrix" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Confusion Matrix\n", - "[[103 0 0 ... 0 0 0]\n", - " [ 0 118 7 ... 0 0 0]\n", - " [ 0 0 152 ... 0 0 0]\n", - " ...\n", - " [ 0 0 0 ... 164 0 0]\n", - " [ 0 0 0 ... 0 110 0]\n", - " [ 0 0 0 ... 0 0 175]]\n", - "Classification Report\n", - " precision recall f1-score support\n", - "\n", - " Apple Braeburn 0.45 0.63 0.52 164\n", - " Apple Golden 1 0.89 0.72 0.80 164\n", - " Apple Golden 2 0.96 0.93 0.94 164\n", - " Apple Golden 3 0.60 1.00 0.75 161\n", - " Apple Granny Smith 1.00 1.00 1.00 164\n", - " Apple Red 1 0.92 0.37 0.52 164\n", - " Apple Red 2 1.00 0.59 0.74 164\n", - " Apple Red 3 0.60 0.89 0.72 144\n", - "Apple Red Delicious 0.64 1.00 0.78 166\n", - " Apple Red Yellow 1.00 0.91 0.96 164\n", - " Apricot 1.00 0.30 0.47 164\n", - " Avocado 1.00 1.00 1.00 143\n", - " Avocado ripe 0.91 0.47 0.62 166\n", - " Banana 0.95 1.00 0.98 166\n", - " Banana Red 0.86 0.93 0.89 166\n", - " Cactus fruit 0.99 0.99 0.99 166\n", - " Cantaloupe 1 1.00 0.87 0.93 164\n", - " Cantaloupe 2 1.00 0.99 1.00 164\n", - " Carambula 0.88 0.60 0.71 166\n", - " Cherry 1 0.58 1.00 0.73 164\n", - " Cherry 2 0.92 0.05 0.09 246\n", - " Cherry Rainier 0.84 0.69 0.76 246\n", - " Cherry Wax Black 0.91 1.00 0.95 164\n", - " Cherry Wax Red 0.89 1.00 0.94 164\n", - " Cherry Wax Yellow 1.00 1.00 1.00 164\n", - " Clementine 1.00 1.00 1.00 166\n", - " Cocos 1.00 0.61 0.76 166\n", - " Dates 0.86 1.00 0.93 166\n", - " Granadilla 1.00 1.00 1.00 166\n", - " Grape Pink 0.78 1.00 0.87 164\n", - " Grape White 0.87 1.00 0.93 166\n", - " Grape White 2 1.00 1.00 1.00 166\n", - " Grapefruit Pink 0.92 1.00 0.96 166\n", - " Grapefruit White 0.67 1.00 0.80 164\n", - " Guava 1.00 1.00 1.00 166\n", - " Huckleberry 1.00 1.00 1.00 166\n", - " Kaki 1.00 1.00 1.00 166\n", - " Kiwi 1.00 0.96 0.98 156\n", - " Kumquats 1.00 1.00 1.00 166\n", - " Lemon 1.00 0.43 0.60 164\n", - " Lemon Meyer 0.70 1.00 0.83 166\n", - " Limes 1.00 1.00 1.00 166\n", - " Lychee 0.79 1.00 0.88 166\n", - " Mandarine 1.00 0.43 0.60 166\n", - " Mango 0.85 1.00 0.92 166\n", - " Maracuja 1.00 0.90 0.95 166\n", - " Melon Piel de Sapo 0.99 0.88 0.93 246\n", - " Mulberry 0.61 1.00 0.76 164\n", - " Nectarine 1.00 0.35 0.52 164\n", - " Orange 0.44 0.56 0.49 160\n", - " Papaya 1.00 1.00 1.00 164\n", - " Passion Fruit 0.69 1.00 0.82 166\n", - " Peach 1.00 0.58 0.73 164\n", - " Peach Flat 0.85 1.00 0.92 164\n", - " Pear 0.93 0.65 0.76 164\n", - " Pear Abate 0.94 0.81 0.87 166\n", - " Pear Monster 0.88 0.97 0.93 166\n", - " Pear Williams 0.97 0.69 0.81 166\n", - " Pepino 0.72 1.00 0.84 166\n", - " Physalis 0.99 1.00 1.00 164\n", - " Physalis with Husk 0.62 0.98 0.76 164\n", - " Pineapple 0.68 0.96 0.80 166\n", - " Pineapple Mini 1.00 0.58 0.73 163\n", - " Pitahaya Red 0.45 1.00 0.62 166\n", - " Plum 0.98 0.89 0.93 151\n", - " Pomegranate 0.50 0.55 0.52 164\n", - " Quince 0.78 1.00 0.88 166\n", - " Rambutan 0.88 1.00 0.93 164\n", - " Raspberry 1.00 1.00 1.00 166\n", - " Salak 0.73 0.75 0.74 162\n", - " Strawberry 1.00 0.87 0.93 164\n", - " Strawberry Wedge 0.90 0.62 0.74 246\n", - " Tamarillo 0.98 1.00 0.99 166\n", - " Tangelo 1.00 0.99 1.00 166\n", - " Tomato 1 1.00 1.00 1.00 246\n", - " Tomato 2 1.00 0.90 0.95 225\n", - " Tomato 3 0.93 1.00 0.96 246\n", - " Tomato 4 0.98 1.00 0.99 160\n", - " Tomato Cherry Red 1.00 1.00 1.00 164\n", - " Tomato Maroon 1.00 0.87 0.93 127\n", - " Walnut 1.00 0.70 0.83 249\n", - "\n", - " accuracy 0.85 13877\n", - " macro avg 0.88 0.86 0.84 13877\n", - " weighted avg 0.89 0.85 0.84 13877\n", - "\n" - ] - } - ], - "source": [ - "from sklearn.metrics import classification_report, confusion_matrix\n", - "import numpy as np\n", - "\n", - "#Confution Matrix and Classification Report\n", - "Y_pred = model.predict(validation_generator)\n", - "y_pred = np.argmax(Y_pred, axis=1)\n", - "\n", - "print('Confusion Matrix')\n", - "print(confusion_matrix(validation_generator.classes, y_pred))\n", - "\n", - "# Create a dictionary of class labels\n", - "class_labels = validation_generator.class_indices\n", - "class_labels = {v: k for k, v in class_labels.items()}\n", - "\n", - "print('Classification Report')\n", - "target_names = list(class_labels.values())\n", - "\n", - "print(classification_report(validation_generator.classes, y_pred, target_names=target_names))" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import sklearn\n", - "from sklearn.metrics import classification_report, confusion_matrix\n", - "import numpy as np\n", - "from tensorflow.keras.models import load_model\n", - "\n", - "img_row, img_height, img_depth = 32,32,3\n", - "model = load_model('fruits_fresh_cnn_1.h5')\n", - "\n", - "class_labels = validation_generator.class_indices\n", - "class_labels = {v: k for k, v in class_labels.items()}\n", - "classes = list(class_labels.values())\n", - "\n", - "nb_train_samples = 41322\n", - "nb_validation_samples = 13877\n", - "\n", - "#Confution Matrix and Classification Report\n", - "Y_pred = model.predict(validation_generator)\n", - "y_pred = np.argmax(Y_pred, axis=1)\n", - "\n", - "target_names = list(class_labels.values())\n", - "\n", - "plt.figure(figsize=(20,20))\n", - "cnf_matrix = confusion_matrix(validation_generator.classes, y_pred)\n", - "\n", - "plt.imshow(cnf_matrix, interpolation='nearest')\n", - "plt.colorbar()\n", - "tick_marks = np.arange(len(classes))\n", - "_ = plt.xticks(tick_marks, classes, rotation=90)\n", - "_ = plt.yticks(tick_marks, classes)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Testing our fruit classifier" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.models import load_model\n", - "from tensorflow.keras.preprocessing import image\n", - "import numpy as np\n", - "import os\n", - "import cv2\n", - "import numpy as np\n", - "from os import listdir\n", - "from os.path import isfile, join\n", - "import re\n", - "\n", - "def draw_test(name, pred, im, true_label):\n", - " BLACK = [0,0,0]\n", - " expanded_image = cv2.copyMakeBorder(im, 160, 0, 0, 500 ,cv2.BORDER_CONSTANT,value=BLACK)\n", - " cv2.putText(expanded_image, \"predited - \"+ pred, (20, 60) , cv2.FONT_HERSHEY_SIMPLEX,1, (0,0,255), 2)\n", - " cv2.putText(expanded_image, \"true - \"+ true_label, (20, 120) , cv2.FONT_HERSHEY_SIMPLEX,1, (0,255,0), 2)\n", - " cv2.imshow(name, expanded_image)\n", - "\n", - "\n", - "def getRandomImage(path, img_width, img_height):\n", - " \"\"\"function loads a random images from a random folder in our test path \"\"\"\n", - " folders = list(filter(lambda x: os.path.isdir(os.path.join(path, x)), os.listdir(path)))\n", - " random_directory = np.random.randint(0,len(folders))\n", - " path_class = folders[random_directory]\n", - " file_path = path + path_class\n", - " file_names = [f for f in listdir(file_path) if isfile(join(file_path, f))]\n", - " random_file_index = np.random.randint(0,len(file_names))\n", - " image_name = file_names[random_file_index]\n", - " final_path = file_path + \"/\" + image_name\n", - " return image.load_img(final_path, target_size = (img_width, img_height)), final_path, path_class\n", - "\n", - "# dimensions of our images\n", - "img_width, img_height = 32, 32\n", - "\n", - "\n", - "files = []\n", - "predictions = []\n", - "true_labels = []\n", - "# predicting images\n", - "for i in range(0, 10):\n", - " path = './fruits-360/validation/' \n", - " img, final_path, true_label = getRandomImage(path, img_width, img_height)\n", - " files.append(final_path)\n", - " true_labels.append(true_label)\n", - " x = image.img_to_array(img)\n", - " x = x * 1./255\n", - " x = np.expand_dims(x, axis=0)\n", - " images = np.vstack([x])\n", - " classes = model.predict_classes(images, batch_size = 10)\n", - " predictions.append(classes)\n", - " \n", - "for i in range(0, len(files)):\n", - " image = cv2.imread((files[i]))\n", - " draw_test(\"Prediction\", class_labels[predictions[i][0]], image, true_labels[i])\n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:cbec0777b781333be4efe1466ad1ed4f13be929b30b406230dd8e5005ad7d141 +size 165342 diff --git a/13. Building LeNet and AlexNet in Keras/13.1 Built LeNet and test on MNIST.ipynb b/13. Building LeNet and AlexNet in Keras/13.1 Built LeNet and test on MNIST.ipynb index 74c17e4fc7066e8a0ef9efe9ea62ad5c3100c040..35614014e3cec5d905ef8db0f11a14da0e24f8fa 100644 --- a/13. Building LeNet and AlexNet in Keras/13.1 Built LeNet and test on MNIST.ipynb +++ b/13. Building LeNet and AlexNet in Keras/13.1 Built LeNet and test on MNIST.ipynb @@ -1,209 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's construct LeNet in Keras!\n", - "\n", - "#### First let's load and prep our MNIST data" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D, ZeroPadding2D\n", - "from tensorflow.keras.layers import BatchNormalization\n", - "from tensorflow.keras.regularizers import l2\n", - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.utils import to_categorical\n", - "import tensorflow as tf\n", - "\n", - "# loads the MNIST dataset\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "# Lets store the number of rows and columns\n", - "img_rows = x_train[0].shape[0]\n", - "img_cols = x_train[1].shape[0]\n", - "\n", - "# Getting our date in the right 'shape' needed for Keras\n", - "# We need to add a 4th dimenion to our date thereby changing our\n", - "# Our original image shape of (60000,28,28) to (60000,28,28,1)\n", - "x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n", - "x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n", - "\n", - "# store the shape of a single image \n", - "input_shape = (img_rows, img_cols, 1)\n", - "\n", - "# change our image type to float32 data type\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "\n", - "# Normalize our data by changing the range from (0 to 255) to (0 to 1)\n", - "x_train /= 255\n", - "x_test /= 255\n", - "\n", - "# Now we one hot encode outputs\n", - "y_train = to_categorical(y_train)\n", - "y_test = to_categorical(y_test)\n", - "\n", - "num_classes = y_test.shape[1]\n", - "num_pixels = x_train.shape[1] * x_train.shape[2]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Now let's create our layers to replicate LeNet" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d (Conv2D) (None, 28, 28, 20) 520 \n", - "_________________________________________________________________\n", - "activation (Activation) (None, 28, 28, 20) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d (MaxPooling2D) (None, 14, 14, 20) 0 \n", - "_________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 14, 14, 50) 25050 \n", - "_________________________________________________________________\n", - "activation_1 (Activation) (None, 14, 14, 50) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_1 (MaxPooling2 (None, 7, 7, 50) 0 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 2450) 0 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 500) 1225500 \n", - "_________________________________________________________________\n", - "activation_2 (Activation) (None, 500) 0 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 10) 5010 \n", - "_________________________________________________________________\n", - "activation_3 (Activation) (None, 10) 0 \n", - "=================================================================\n", - "Total params: 1,256,080\n", - "Trainable params: 1,256,080\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "# create model\n", - "model = Sequential()\n", - "\n", - "# 2 sets of CRP (Convolution, RELU, Pooling)\n", - "model.add(Conv2D(20, (5, 5),\n", - " padding = \"same\", \n", - " input_shape = input_shape))\n", - "model.add(Activation(\"relu\"))\n", - "model.add(MaxPooling2D(pool_size = (2, 2), strides = (2, 2)))\n", - "\n", - "model.add(Conv2D(50, (5, 5),\n", - " padding = \"same\"))\n", - "model.add(Activation(\"relu\"))\n", - "model.add(MaxPooling2D(pool_size = (2, 2), strides = (2, 2)))\n", - "\n", - "# Fully connected layers (w/ RELU)\n", - "model.add(Flatten())\n", - "model.add(Dense(500))\n", - "model.add(Activation(\"relu\"))\n", - "\n", - "# Softmax (for classification)\n", - "model.add(Dense(num_classes))\n", - "model.add(Activation(\"softmax\"))\n", - " \n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = tf.keras.optimizers.Adadelta(),\n", - " metrics = ['accuracy'])\n", - " \n", - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Now let us train LeNet on our MNIST Dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Train on 60000 samples, validate on 10000 samples\n", - "60000/60000 [==============================] - 82s 1ms/sample - loss: 2.2876 - accuracy: 0.1511 - val_loss: 2.2647 - val_accuracy: 0.2432\n", - "10000/10000 [==============================] - 4s 436us/sample - loss: 2.2647 - accuracy: 0.2432\n", - "Test loss: 2.264678302001953\n", - "Test accuracy: 0.2432\n" - ] - } - ], - "source": [ - "# Training Parameters\n", - "batch_size = 128\n", - "epochs = 1\n", - "\n", - "history = model.fit(x_train, y_train,\n", - " batch_size=batch_size,\n", - " epochs=epochs,\n", - " validation_data=(x_test, y_test),\n", - " shuffle=True)\n", - "\n", - "model.save(\"mnist_LeNet.h5\")\n", - "\n", - "# Evaluate the performance of our trained model\n", - "scores = model.evaluate(x_test, y_test, verbose=1)\n", - "print('Test loss:', scores[0])\n", - "print('Test accuracy:', scores[1])" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:b84d69d00861f3c9f01714ccc40b68a765d5e319bdd51f1ef3df0d6a776c4dd1 +size 7458 diff --git a/13. Building LeNet and AlexNet in Keras/13.2 Build AlexNet and test on CIFAR10.ipynb b/13. Building LeNet and AlexNet in Keras/13.2 Build AlexNet and test on CIFAR10.ipynb index b1b1da619bed79aa8217a45bbdc39701ec792cb3..c61c620782baa17bd5ed2b42390700da4e28b0c4 100644 --- a/13. Building LeNet and AlexNet in Keras/13.2 Build AlexNet and test on CIFAR10.ipynb +++ b/13. Building LeNet and AlexNet in Keras/13.2 Build AlexNet and test on CIFAR10.ipynb @@ -1,266 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's construct AlexNet in Keras!\n", - "\n", - "#### First let's load and prep our CIFAR10 data" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "x_train shape: (50000, 32, 32, 3)\n", - "50000 train samples\n", - "10000 test samples\n" - ] - } - ], - "source": [ - "from __future__ import print_function\n", - "import tensorflow as tf\n", - "from tensorflow.keras.datasets import cifar10\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D, ZeroPadding2D\n", - "from tensorflow.keras.layers import BatchNormalization\n", - "from tensorflow.keras.regularizers import l2\n", - "from tensorflow.keras.utils import to_categorical\n", - "\n", - "# Loads the CIFAR dataset\n", - "(x_train, y_train), (x_test, y_test) = cifar10.load_data()\n", - "\n", - "# Display our data shape/dimensions\n", - "print('x_train shape:', x_train.shape)\n", - "print(x_train.shape[0], 'train samples')\n", - "print(x_test.shape[0], 'test samples')\n", - "\n", - "# Now we one hot encode outputs\n", - "num_classes = 10\n", - "y_train = to_categorical(y_train)\n", - "y_test = to_categorical(y_test)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Now let's create our layers to replicate AlexNet" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d (Conv2D) (None, 32, 32, 96) 34944 \n", - "_________________________________________________________________\n", - "batch_normalization (BatchNo (None, 32, 32, 96) 384 \n", - "_________________________________________________________________\n", - "activation (Activation) (None, 32, 32, 96) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d (MaxPooling2D) (None, 16, 16, 96) 0 \n", - "_________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 16, 16, 256) 614656 \n", - "_________________________________________________________________\n", - "batch_normalization_1 (Batch (None, 16, 16, 256) 1024 \n", - "_________________________________________________________________\n", - "activation_1 (Activation) (None, 16, 16, 256) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_1 (MaxPooling2 (None, 8, 8, 256) 0 \n", - "_________________________________________________________________\n", - "zero_padding2d (ZeroPadding2 (None, 10, 10, 256) 0 \n", - "_________________________________________________________________\n", - "conv2d_2 (Conv2D) (None, 10, 10, 512) 1180160 \n", - "_________________________________________________________________\n", - "batch_normalization_2 (Batch (None, 10, 10, 512) 2048 \n", - "_________________________________________________________________\n", - "activation_2 (Activation) (None, 10, 10, 512) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_2 (MaxPooling2 (None, 5, 5, 512) 0 \n", - "_________________________________________________________________\n", - "zero_padding2d_1 (ZeroPaddin (None, 7, 7, 512) 0 \n", - "_________________________________________________________________\n", - "conv2d_3 (Conv2D) (None, 7, 7, 1024) 4719616 \n", - "_________________________________________________________________\n", - "batch_normalization_3 (Batch (None, 7, 7, 1024) 4096 \n", - "_________________________________________________________________\n", - "activation_3 (Activation) (None, 7, 7, 1024) 0 \n", - "_________________________________________________________________\n", - "zero_padding2d_2 (ZeroPaddin (None, 9, 9, 1024) 0 \n", - "_________________________________________________________________\n", - "conv2d_4 (Conv2D) (None, 9, 9, 1024) 9438208 \n", - "_________________________________________________________________\n", - "batch_normalization_4 (Batch (None, 9, 9, 1024) 4096 \n", - "_________________________________________________________________\n", - "activation_4 (Activation) (None, 9, 9, 1024) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_3 (MaxPooling2 (None, 4, 4, 1024) 0 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 16384) 0 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 3072) 50334720 \n", - "_________________________________________________________________\n", - "batch_normalization_5 (Batch (None, 3072) 12288 \n", - "_________________________________________________________________\n", - "activation_5 (Activation) (None, 3072) 0 \n", - "_________________________________________________________________\n", - "dropout (Dropout) (None, 3072) 0 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 4096) 12587008 \n", - "_________________________________________________________________\n", - "batch_normalization_6 (Batch (None, 4096) 16384 \n", - "_________________________________________________________________\n", - "activation_6 (Activation) (None, 4096) 0 \n", - "_________________________________________________________________\n", - "dropout_1 (Dropout) (None, 4096) 0 \n", - "_________________________________________________________________\n", - "dense_2 (Dense) (None, 10) 40970 \n", - "_________________________________________________________________\n", - "batch_normalization_7 (Batch (None, 10) 40 \n", - "_________________________________________________________________\n", - "activation_7 (Activation) (None, 10) 0 \n", - "=================================================================\n", - "Total params: 78,990,642\n", - "Trainable params: 78,970,462\n", - "Non-trainable params: 20,180\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "l2_reg = 0\n", - "\n", - "# Initialize model\n", - "model = Sequential()\n", - "\n", - "# 1st Conv Layer \n", - "model.add(Conv2D(96, (11, 11), input_shape=x_train.shape[1:],\n", - " padding='same', kernel_regularizer=l2(l2_reg)))\n", - "model.add(BatchNormalization())\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "\n", - "# 2nd Conv Layer \n", - "model.add(Conv2D(256, (5, 5), padding='same'))\n", - "model.add(BatchNormalization())\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "\n", - "# 3rd Conv Layer \n", - "model.add(ZeroPadding2D((1, 1)))\n", - "model.add(Conv2D(512, (3, 3), padding='same'))\n", - "model.add(BatchNormalization())\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "\n", - "# 4th Conv Layer \n", - "model.add(ZeroPadding2D((1, 1)))\n", - "model.add(Conv2D(1024, (3, 3), padding='same'))\n", - "model.add(BatchNormalization())\n", - "model.add(Activation('relu'))\n", - "\n", - "# 5th Conv Layer \n", - "model.add(ZeroPadding2D((1, 1)))\n", - "model.add(Conv2D(1024, (3, 3), padding='same'))\n", - "model.add(BatchNormalization())\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "\n", - "# 1st FC Layer\n", - "model.add(Flatten())\n", - "model.add(Dense(3072))\n", - "model.add(BatchNormalization())\n", - "model.add(Activation('relu'))\n", - "model.add(Dropout(0.5))\n", - "\n", - "# 2nd FC Layer\n", - "model.add(Dense(4096))\n", - "model.add(BatchNormalization())\n", - "model.add(Activation('relu'))\n", - "model.add(Dropout(0.5))\n", - "\n", - "# 3rd FC Layer\n", - "model.add(Dense(num_classes))\n", - "model.add(BatchNormalization())\n", - "model.add(Activation('softmax'))\n", - "\n", - "print(model.summary())\n", - "\n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = tf.keras.optimizers.Adadelta(),\n", - " metrics = ['accuracy'])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Now let us train AlexNet on our CIFAR10 Dataset" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Training Parameters\n", - "batch_size = 32\n", - "epochs = 1\n", - "\n", - "history = model.fit(x_train, y_train,\n", - " batch_size=batch_size,\n", - " epochs=epochs,\n", - " validation_data=(x_test, y_test),\n", - " shuffle=True)\n", - "\n", - "model.save(\"CIFAR10_AlexNet_1_Epoch.h5\")\n", - "\n", - "# Evaluate the performance of our trained model\n", - "scores = model.evaluate(x_test, y_test, verbose=1)\n", - "print('Test loss:', scores[0])\n", - "print('Test accuracy:', scores[1])" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:337403d0cc0c081c71fa23577f81d544101f9a61090bd40c32dfece66af5aa71 +size 11012 diff --git a/13. Building LeNet and AlexNet in Keras/13.4 Fashion MNIST.ipynb b/13. Building LeNet and AlexNet in Keras/13.4 Fashion MNIST.ipynb index 791937eaa0415c5d6410b89b64c335585c872086..d675a09a4565544e36e55f47015b344cf6cb2006 100644 --- a/13. Building LeNet and AlexNet in Keras/13.4 Fashion MNIST.ipynb +++ b/13. Building LeNet and AlexNet in Keras/13.4 Fashion MNIST.ipynb @@ -1,445 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Fashion MNIST" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### After downloading our dataset we see it's coded in the ubyte form\n", - "- We then use the following function to read the data and return it as a numpy array" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import struct\n", - "import numpy as np\n", - "\n", - "def read_idx(filename):\n", - " \"\"\"Credit: https://gist.github.com/tylerneylon\"\"\"\n", - " with open(filename, 'rb') as f:\n", - " zero, data_type, dims = struct.unpack('>HBB', f.read(4))\n", - " shape = tuple(struct.unpack('>I', f.read(4))[0] for d in range(dims))\n", - " return np.frombuffer(f.read(), dtype=np.uint8).reshape(shape)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### We use the function to extact our training and test datasets" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "x_train = read_idx(\"./fashion_mnist/train-images-idx3-ubyte\")\n", - "y_train = read_idx(\"./fashion_mnist/train-labels-idx1-ubyte\")\n", - "x_test = read_idx(\"./fashion_mnist/t10k-images-idx3-ubyte\")\n", - "y_test = read_idx(\"./fashion_mnist/t10k-labels-idx1-ubyte\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's inspect our dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Initial shape or dimensions of x_train (60000, 28, 28)\n", - "Number of samples in our training data: 60000\n", - "Number of labels in our training data: 60000\n", - "Number of samples in our test data: 10000\n", - "Number of labels in our test data: 10000\n", - "\n", - "Dimensions of x_train:(28, 28)\n", - "Labels in x_train:(60000,)\n", - "\n", - "Dimensions of x_test:(28, 28)\n", - "Labels in y_test:(10000,)\n" - ] - } - ], - "source": [ - "# printing the number of samples in x_train, x_test, y_train, y_test\n", - "print(\"Initial shape or dimensions of x_train\", str(x_train.shape))\n", - "\n", - "print (\"Number of samples in our training data: \" + str(len(x_train)))\n", - "print (\"Number of labels in our training data: \" + str(len(y_train)))\n", - "print (\"Number of samples in our test data: \" + str(len(x_test)))\n", - "print (\"Number of labels in our test data: \" + str(len(y_test)))\n", - "print()\n", - "print (\"Dimensions of x_train:\" + str(x_train[0].shape))\n", - "print (\"Labels in x_train:\" + str(y_train.shape))\n", - "print()\n", - "print (\"Dimensions of x_test:\" + str(x_test[0].shape))\n", - "print (\"Labels in y_test:\" + str(y_test.shape))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's view some sample images" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Let's do the same thing but using matplotlib to plot 6 images \n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Plots 6 images, note subplot's arugments are nrows,ncols,index\n", - "# we set the color map to grey since our image dataset is grayscale\n", - "plt.subplot(331)\n", - "random_num = np.random.randint(0,len(x_train))\n", - "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", - "\n", - "plt.subplot(332)\n", - "random_num = np.random.randint(0,len(x_train))\n", - "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", - "\n", - "plt.subplot(333)\n", - "random_num = np.random.randint(0,len(x_train))\n", - "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", - "\n", - "plt.subplot(334)\n", - "random_num = np.random.randint(0,len(x_train))\n", - "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", - "\n", - "plt.subplot(335)\n", - "random_num = np.random.randint(0,len(x_train))\n", - "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", - "\n", - "plt.subplot(336)\n", - "random_num = np.random.randint(0,len(x_train))\n", - "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", - "\n", - "# Display out plots\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's create our model" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "10" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "num_classes" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "x_train shape: (60000, 28, 28, 1)\n", - "60000 train samples\n", - "10000 test samples\n", - "Number of Classes: 10\n", - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d (Conv2D) (None, 26, 26, 32) 320 \n", - "_________________________________________________________________\n", - "batch_normalization (BatchNo (None, 26, 26, 32) 128 \n", - "_________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 24, 24, 64) 18496 \n", - "_________________________________________________________________\n", - "batch_normalization_1 (Batch (None, 24, 24, 64) 256 \n", - "_________________________________________________________________\n", - "max_pooling2d (MaxPooling2D) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "dropout (Dropout) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 9216) 0 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 128) 1179776 \n", - "_________________________________________________________________\n", - "batch_normalization_2 (Batch (None, 128) 512 \n", - "_________________________________________________________________\n", - "dropout_1 (Dropout) (None, 128) 0 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 10) 1290 \n", - "_________________________________________________________________\n", - "activation (Activation) (None, 10) 0 \n", - "=================================================================\n", - "Total params: 1,200,778\n", - "Trainable params: 1,200,330\n", - "Non-trainable params: 448\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "from tensorflow.keras.utils import to_categorical\n", - "import tensorflow as tf\n", - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Flatten, Activation\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D, BatchNormalization\n", - "from tensorflow.keras.optimizers import SGD \n", - "\n", - "# Training Parameters\n", - "batch_size = 128\n", - "epochs = 1\n", - "\n", - "# Lets store the number of rows and columns\n", - "img_rows = x_train[0].shape[0]\n", - "img_cols = x_train[1].shape[0]\n", - "\n", - "# Getting our date in the right 'shape' needed for Keras\n", - "# We need to add a 4th dimenion to our date thereby changing our\n", - "# Our original image shape of (60000,28,28) to (60000,28,28,1)\n", - "x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n", - "x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n", - "\n", - "# store the shape of a single image \n", - "input_shape = (img_rows, img_cols, 1)\n", - "\n", - "# change our image type to float32 data type\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "\n", - "# Normalize our data by changing the range from (0 to 255) to (0 to 1)\n", - "x_train /= 255.0\n", - "x_test /= 255.0\n", - "\n", - "print('x_train shape:', x_train.shape)\n", - "print(x_train.shape[0], 'train samples')\n", - "print(x_test.shape[0], 'test samples')\n", - "\n", - "# Now we one hot encode outputs\n", - "y_train = to_categorical(y_train)\n", - "y_test = to_categorical(y_test)\n", - "\n", - "num_classes = y_test.shape[1]\n", - "# Let's count the number columns in our hot encoded matrix \n", - "print (\"Number of Classes: \" + str(num_classes))\n", - "\n", - "num_pixels = x_train.shape[1] * x_train.shape[2]\n", - "\n", - "# create model\n", - "model = Sequential()\n", - "\n", - "model.add(Conv2D(32, kernel_size=(3, 3),\n", - " activation='relu',\n", - " input_shape=input_shape))\n", - "model.add(BatchNormalization())\n", - "\n", - "model.add(Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(BatchNormalization())\n", - "\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.25))\n", - "\n", - "model.add(Flatten())\n", - "model.add(Dense(128, activation='relu'))\n", - "model.add(BatchNormalization())\n", - "\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(num_classes))\n", - "model.add(Activation('softmax'))\n", - "\n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = SGD(0.01),\n", - " metrics = ['accuracy'])\n", - "\n", - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's train our model" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Train on 60000 samples, validate on 10000 samples\n", - "60000/60000 [==============================] - 150s 3ms/sample - loss: 0.6229 - accuracy: 0.7877 - val_loss: 0.5973 - val_accuracy: 0.8136\n", - "Test loss: 0.5973387075424195\n", - "Test accuracy: 0.8136\n" - ] - } - ], - "source": [ - "history = model.fit(x_train, y_train,\n", - " batch_size=batch_size,\n", - " epochs=epochs,\n", - " verbose=1,\n", - " validation_data=(x_test, y_test))\n", - "\n", - "score = model.evaluate(x_test, y_test, verbose=0)\n", - "print('Test loss:', score[0])\n", - "print('Test accuracy:', score[1])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's test out our model" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "import cv2\n", - "import numpy as np\n", - "\n", - "def getLabel(input_class):\n", - " number = int(input_class)\n", - " if number == 0:\n", - " return \"T-shirt/top \"\n", - " if number == 1:\n", - " return \"Trouser\"\n", - " if number == 2:\n", - " return \"Pullover\"\n", - " if number == 3:\n", - " return \"Dress\"\n", - " if number == 4:\n", - " return \"Coat\"\n", - " if number == 5:\n", - " return \"Sandal\"\n", - " if number == 6:\n", - " return \"Shirt\"\n", - " if number == 7:\n", - " return \"Sneaker\"\n", - " if number == 8:\n", - " return \"Bag\"\n", - " if number == 9:\n", - " return \"Ankle boot\"\n", - "\n", - "def draw_test(name, pred, actual, input_im):\n", - " BLACK = [0,0,0]\n", - "\n", - " res = getLabel(pred)\n", - " actual = getLabel(actual) \n", - " expanded_image = cv2.copyMakeBorder(input_im, 0, 0, 0, 4*imageL.shape[0] ,cv2.BORDER_CONSTANT,value=BLACK)\n", - " expanded_image = cv2.cvtColor(expanded_image, cv2.COLOR_GRAY2BGR)\n", - " cv2.putText(expanded_image, \"Predicted - \" + str(res), (152, 70) , cv2.FONT_HERSHEY_COMPLEX_SMALL,1, (0,255,0), 1)\n", - " cv2.putText(expanded_image, \" Actual - \" + str(actual), (152, 90) , cv2.FONT_HERSHEY_COMPLEX_SMALL,1, (0,0,255), 1)\n", - " cv2.imshow(name, expanded_image)\n", - "\n", - "\n", - "for i in range(0,10):\n", - " rand = np.random.randint(0,len(x_test))\n", - " input_im = x_test[rand]\n", - " actual = y_test[rand].argmax(axis=0)\n", - " imageL = cv2.resize(input_im, None, fx=4, fy=4, interpolation = cv2.INTER_CUBIC)\n", - " input_im = input_im.reshape(1,28,28,1) \n", - " \n", - " ## Get Prediction\n", - " res = str(model.predict_classes(input_im, 1, verbose = 0)[0])\n", - "\n", - " draw_test(\"Prediction\", res, actual, imageL) \n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:7f72f62468d824350f8be3974df4eda6579c69a925f87b76907c1f70f13f0425 +size 26935 diff --git a/14. ImageNet and Pretrained Models VGG16_ResNet50_InceptionV3/14.1 Experimenting with pre-trained Models in Keras.ipynb b/14. ImageNet and Pretrained Models VGG16_ResNet50_InceptionV3/14.1 Experimenting with pre-trained Models in Keras.ipynb index 52948f5f3caea9a4382f3bad012e213609eec6e7..88b36b8b15b6dd1885563e8021d8f265b98a79e4 100644 --- a/14. ImageNet and Pretrained Models VGG16_ResNet50_InceptionV3/14.1 Experimenting with pre-trained Models in Keras.ipynb +++ b/14. ImageNet and Pretrained Models VGG16_ResNet50_InceptionV3/14.1 Experimenting with pre-trained Models in Keras.ipynb @@ -1,227 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's start with loading ResNet50 " - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.applications.resnet50 import ResNet50\n", - "from tensorflow.keras.preprocessing import image\n", - "from tensorflow.keras.applications.resnet50 import preprocess_input, decode_predictions\n", - "import numpy as np\n", - "\n", - "resnet_model = ResNet50(weights='imagenet')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Predicted: [('n02100583', 'vizsla', 0.5282586), ('n02092339', 'Weimaraner', 0.32402116), ('n02099849', 'Chesapeake_Bay_retriever', 0.07540441)]\n" - ] - } - ], - "source": [ - "from tensorflow.keras.preprocessing import image\n", - "\n", - "img_path = './images/dog.jpg' \n", - "\n", - "img = image.load_img(img_path, target_size=(224, 224))\n", - "x = image.img_to_array(img)\n", - "x = np.expand_dims(x, axis=0)\n", - "x = preprocess_input(x)\n", - "\n", - "preds = resnet_model.predict(x)\n", - "# decode the results into a list of tuples (class, description, probability)\n", - "# (one such list for each sample in the batch)\n", - "print('Predicted:', decode_predictions(preds, top=3)[0])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's run through a few test images" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "import cv2\n", - "from os import listdir\n", - "from os.path import isfile, join\n", - "\n", - "# Our openCV function that displays the image and it's predicted labels \n", - "def draw_test(name, preditions, input_im):\n", - " \"\"\"Function displays the output of the prediction alongside the orignal image\"\"\"\n", - " BLACK = [0,0,0]\n", - " expanded_image = cv2.copyMakeBorder(input_im, 0, 0, 0, imageL.shape[1]+300 ,cv2.BORDER_CONSTANT,value=BLACK)\n", - " img_width = input_im.shape[1]\n", - " for (i,predition) in enumerate(preditions):\n", - " string = str(predition[1]) + \" \" + str(predition[2])\n", - " cv2.putText(expanded_image,str(name),(img_width + 50,50),cv2.FONT_HERSHEY_COMPLEX_SMALL,2,(0,0,255),1)\n", - " cv2.putText(expanded_image,string,(img_width + 50,50+((i+1)*50)),cv2.FONT_HERSHEY_COMPLEX_SMALL,2,(0,255,0),1)\n", - " cv2.imshow(name, expanded_image)\n", - "\n", - "# Get images located in ./images folder \n", - "mypath = \"./images/\"\n", - "file_names = [f for f in listdir(mypath) if isfile(join(mypath, f))]\n", - "\n", - "# Loop through images run them through our classifer\n", - "for file in file_names:\n", - "\n", - " from tensorflow.keras.preprocessing import image # Need to reload as opencv2 seems to have a conflict\n", - " img = image.load_img(mypath+file, target_size=(224, 224))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - " x = preprocess_input(x)\n", - " \n", - " #load image using opencv\n", - " img2 = cv2.imread(mypath+file)\n", - " imageL = cv2.resize(img2, None, fx=.5, fy=.5, interpolation = cv2.INTER_CUBIC) \n", - " \n", - " # Get Predictions\n", - " preds = resnet_model.predict(x)\n", - " preditions = decode_predictions(preds, top=3)[0]\n", - " draw_test(\"Predictions\", preditions, imageL) \n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's now load VGG16 and InceptionV3" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "import tensorflow as tf\n", - "import numpy as np\n", - "from tensorflow.keras.applications import vgg16, inception_v3, resnet50\n", - " \n", - "#Loads the VGG16 model\n", - "vgg_model = vgg16.VGG16(weights='imagenet')\n", - " \n", - "# Loads the Inception_V3 model\n", - "inception_model = inception_v3.InceptionV3(weights='imagenet')\n", - " \n", - "# Loads the ResNet50 model \n", - "# uncomment the line below if you didn't load resnet50 beforehand\n", - "#resnet_model = resnet50.ResNet50(weights='imagenet')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Compare all 3 Models with the same test images" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "def getImage(path, dim=224, inception = False):\n", - " img = image.load_img(path, target_size=(dim, dim))\n", - " x = image.img_to_array(img)\n", - " x = np.expand_dims(x, axis=0)\n", - " if inception:\n", - " x /= 255.\n", - " x -= 0.5\n", - " x *= 2.\n", - " else:\n", - " x = preprocess_input(x)\n", - " return x" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "# Get images located in ./images folder \n", - "mypath = \"./images/\"\n", - "file_names = [f for f in listdir(mypath) if isfile(join(mypath, f))]\n", - "\n", - "# Loop through images run them through our classifer\n", - "for file in file_names:\n", - "\n", - " from tensorflow.keras.preprocessing import image # Need to reload as opencv2 seems to have a conflict\n", - " #img = image.load_img(mypath+file, target_size=(dim, dim))\n", - " x = getImage(mypath+file, 229)\n", - " #load image using opencv\n", - " img2 = cv2.imread(mypath+file)\n", - " imageL = cv2.resize(img2, None, fx=.5, fy=.5, interpolation = cv2.INTER_CUBIC) \n", - " \n", - " # Get VGG16 Predictions\n", - " x = getImage(mypath+file, 224)\n", - " preds_vgg_model = vgg_model.predict(x)\n", - " preditions_vgg = decode_predictions(preds_vgg_model, top=3)[0]\n", - " draw_test(\"VGG16 Predictions\", preditions_vgg, imageL) \n", - " \n", - " # Get Inception_V3 Predictions\n", - " x = getImage(mypath+file, 299, inception = True)\n", - " preds_inception = inception_model.predict(x)\n", - " preditions_inception = decode_predictions(preds_inception, top=3)[0]\n", - " draw_test(\"Inception_V3 Predictions\", preditions_inception, imageL) \n", - "\n", - " # Get ResNet50 Predictions\n", - " x = getImage(mypath+file, 224)\n", - " preds_resnet = resnet_model.predict(x)\n", - " preditions_resnet = decode_predictions(preds_resnet, top=3)[0]\n", - " draw_test(\"ResNet50 Predictions\", preditions_resnet, imageL) \n", - " \n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows()\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:ad641d6516f4e7974dfe8149b95fabfaf34b8f1cd7f5b4373365177ec7e3c792 +size 7394 diff --git a/15. Transfer Learning & Fine Tuning/15.2 Using MobileNet to make a Monkey Breed Classifier.ipynb b/15. Transfer Learning & Fine Tuning/15.2 Using MobileNet to make a Monkey Breed Classifier.ipynb index a4b36b534e66242a60cf857d707b02126136ca88..e43619ef45d86fea20655bc93af9d00892b40865 100644 --- a/15. Transfer Learning & Fine Tuning/15.2 Using MobileNet to make a Monkey Breed Classifier.ipynb +++ b/15. Transfer Learning & Fine Tuning/15.2 Using MobileNet to make a Monkey Breed Classifier.ipynb @@ -1,657 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Using MobileNet for our Monkey Classifer\n", - "\n", - "### Loading the MobileNet Model" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Freeze all layers except the top 4, as we'll only be training the top 4" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Downloading data from https://github.com/fchollet/deep-learning-models/releases/download/v0.6/mobilenet_1_0_224_tf_no_top.h5\n", - "17227776/17225924 [==============================] - 14s 1us/step\n", - "0 InputLayer False\n", - "1 ZeroPadding2D False\n", - "2 Conv2D False\n", - "3 BatchNormalization False\n", - "4 ReLU False\n", - "5 DepthwiseConv2D False\n", - "6 BatchNormalization False\n", - "7 ReLU False\n", - "8 Conv2D False\n", - "9 BatchNormalization False\n", - "10 ReLU False\n", - "11 ZeroPadding2D False\n", - "12 DepthwiseConv2D False\n", - "13 BatchNormalization False\n", - "14 ReLU False\n", - "15 Conv2D False\n", - "16 BatchNormalization False\n", - "17 ReLU False\n", - "18 DepthwiseConv2D False\n", - "19 BatchNormalization False\n", - "20 ReLU False\n", - "21 Conv2D False\n", - "22 BatchNormalization False\n", - "23 ReLU False\n", - "24 ZeroPadding2D False\n", - "25 DepthwiseConv2D False\n", - "26 BatchNormalization False\n", - "27 ReLU False\n", - "28 Conv2D False\n", - "29 BatchNormalization False\n", - "30 ReLU False\n", - "31 DepthwiseConv2D False\n", - "32 BatchNormalization False\n", - "33 ReLU False\n", - "34 Conv2D False\n", - "35 BatchNormalization False\n", - "36 ReLU False\n", - "37 ZeroPadding2D False\n", - "38 DepthwiseConv2D False\n", - "39 BatchNormalization False\n", - "40 ReLU False\n", - "41 Conv2D False\n", - "42 BatchNormalization False\n", - "43 ReLU False\n", - "44 DepthwiseConv2D False\n", - "45 BatchNormalization False\n", - "46 ReLU False\n", - "47 Conv2D False\n", - "48 BatchNormalization False\n", - "49 ReLU False\n", - "50 DepthwiseConv2D False\n", - "51 BatchNormalization False\n", - "52 ReLU False\n", - "53 Conv2D False\n", - "54 BatchNormalization False\n", - "55 ReLU False\n", - "56 DepthwiseConv2D False\n", - "57 BatchNormalization False\n", - "58 ReLU False\n", - "59 Conv2D False\n", - "60 BatchNormalization False\n", - "61 ReLU False\n", - "62 DepthwiseConv2D False\n", - "63 BatchNormalization False\n", - "64 ReLU False\n", - "65 Conv2D False\n", - "66 BatchNormalization False\n", - "67 ReLU False\n", - "68 DepthwiseConv2D False\n", - "69 BatchNormalization False\n", - "70 ReLU False\n", - "71 Conv2D False\n", - "72 BatchNormalization False\n", - "73 ReLU False\n", - "74 ZeroPadding2D False\n", - "75 DepthwiseConv2D False\n", - "76 BatchNormalization False\n", - "77 ReLU False\n", - "78 Conv2D False\n", - "79 BatchNormalization False\n", - "80 ReLU False\n", - "81 DepthwiseConv2D False\n", - "82 BatchNormalization False\n", - "83 ReLU False\n", - "84 Conv2D False\n", - "85 BatchNormalization False\n", - "86 ReLU False\n" - ] - } - ], - "source": [ - "from tensorflow.keras.applications import MobileNet\n", - "\n", - "# MobileNet was designed to work on 224 x 224 pixel input images sizes\n", - "img_rows, img_cols = 224, 224 \n", - "\n", - "# Re-loads the MobileNet model without the top or FC layers\n", - "MobileNet = MobileNet(weights = 'imagenet', \n", - " include_top = False, \n", - " input_shape = (img_rows, img_cols, 3))\n", - "\n", - "# Here we freeze the last 4 layers \n", - "# Layers are set to trainable as True by default\n", - "for layer in MobileNet.layers:\n", - " layer.trainable = False\n", - " \n", - "# Let's print our layers \n", - "for (i,layer) in enumerate(MobileNet.layers):\n", - " print(str(i) + \" \"+ layer.__class__.__name__, layer.trainable)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's make a function that returns our FC Head" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "def addTopModelMobileNet(bottom_model, num_classes):\n", - " \"\"\"creates the top or head of the model that will be \n", - " placed ontop of the bottom layers\"\"\"\n", - "\n", - " top_model = bottom_model.output\n", - " top_model = GlobalAveragePooling2D()(top_model)\n", - " top_model = Dense(1024,activation='relu')(top_model)\n", - " top_model = Dense(1024,activation='relu')(top_model)\n", - " top_model = Dense(512,activation='relu')(top_model)\n", - " top_model = Dense(num_classes,activation='softmax')(top_model)\n", - " return top_model" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's add our FC Head back onto MobileNet" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"model_1\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "input_1 (InputLayer) [(None, 224, 224, 3)] 0 \n", - "_________________________________________________________________\n", - "conv1_pad (ZeroPadding2D) (None, 225, 225, 3) 0 \n", - "_________________________________________________________________\n", - "conv1 (Conv2D) (None, 112, 112, 32) 864 \n", - "_________________________________________________________________\n", - "conv1_bn (BatchNormalization (None, 112, 112, 32) 128 \n", - "_________________________________________________________________\n", - "conv1_relu (ReLU) (None, 112, 112, 32) 0 \n", - "_________________________________________________________________\n", - "conv_dw_1 (DepthwiseConv2D) (None, 112, 112, 32) 288 \n", - "_________________________________________________________________\n", - "conv_dw_1_bn (BatchNormaliza (None, 112, 112, 32) 128 \n", - "_________________________________________________________________\n", - "conv_dw_1_relu (ReLU) (None, 112, 112, 32) 0 \n", - "_________________________________________________________________\n", - "conv_pw_1 (Conv2D) (None, 112, 112, 64) 2048 \n", - "_________________________________________________________________\n", - "conv_pw_1_bn (BatchNormaliza (None, 112, 112, 64) 256 \n", - "_________________________________________________________________\n", - "conv_pw_1_relu (ReLU) (None, 112, 112, 64) 0 \n", - "_________________________________________________________________\n", - "conv_pad_2 (ZeroPadding2D) (None, 113, 113, 64) 0 \n", - "_________________________________________________________________\n", - "conv_dw_2 (DepthwiseConv2D) (None, 56, 56, 64) 576 \n", - "_________________________________________________________________\n", - "conv_dw_2_bn (BatchNormaliza (None, 56, 56, 64) 256 \n", - "_________________________________________________________________\n", - "conv_dw_2_relu (ReLU) (None, 56, 56, 64) 0 \n", - "_________________________________________________________________\n", - "conv_pw_2 (Conv2D) (None, 56, 56, 128) 8192 \n", - "_________________________________________________________________\n", - "conv_pw_2_bn (BatchNormaliza (None, 56, 56, 128) 512 \n", - "_________________________________________________________________\n", - "conv_pw_2_relu (ReLU) (None, 56, 56, 128) 0 \n", - "_________________________________________________________________\n", - "conv_dw_3 (DepthwiseConv2D) (None, 56, 56, 128) 1152 \n", - "_________________________________________________________________\n", - "conv_dw_3_bn (BatchNormaliza (None, 56, 56, 128) 512 \n", - "_________________________________________________________________\n", - "conv_dw_3_relu (ReLU) (None, 56, 56, 128) 0 \n", - "_________________________________________________________________\n", - "conv_pw_3 (Conv2D) (None, 56, 56, 128) 16384 \n", - "_________________________________________________________________\n", - "conv_pw_3_bn (BatchNormaliza (None, 56, 56, 128) 512 \n", - "_________________________________________________________________\n", - "conv_pw_3_relu (ReLU) (None, 56, 56, 128) 0 \n", - "_________________________________________________________________\n", - "conv_pad_4 (ZeroPadding2D) (None, 57, 57, 128) 0 \n", - "_________________________________________________________________\n", - "conv_dw_4 (DepthwiseConv2D) (None, 28, 28, 128) 1152 \n", - "_________________________________________________________________\n", - "conv_dw_4_bn (BatchNormaliza (None, 28, 28, 128) 512 \n", - "_________________________________________________________________\n", - "conv_dw_4_relu (ReLU) (None, 28, 28, 128) 0 \n", - "_________________________________________________________________\n", - "conv_pw_4 (Conv2D) (None, 28, 28, 256) 32768 \n", - "_________________________________________________________________\n", - "conv_pw_4_bn (BatchNormaliza (None, 28, 28, 256) 1024 \n", - "_________________________________________________________________\n", - "conv_pw_4_relu (ReLU) (None, 28, 28, 256) 0 \n", - "_________________________________________________________________\n", - "conv_dw_5 (DepthwiseConv2D) (None, 28, 28, 256) 2304 \n", - "_________________________________________________________________\n", - "conv_dw_5_bn (BatchNormaliza (None, 28, 28, 256) 1024 \n", - "_________________________________________________________________\n", - "conv_dw_5_relu (ReLU) (None, 28, 28, 256) 0 \n", - "_________________________________________________________________\n", - "conv_pw_5 (Conv2D) (None, 28, 28, 256) 65536 \n", - "_________________________________________________________________\n", - "conv_pw_5_bn (BatchNormaliza (None, 28, 28, 256) 1024 \n", - "_________________________________________________________________\n", - "conv_pw_5_relu (ReLU) (None, 28, 28, 256) 0 \n", - "_________________________________________________________________\n", - "conv_pad_6 (ZeroPadding2D) (None, 29, 29, 256) 0 \n", - "_________________________________________________________________\n", - "conv_dw_6 (DepthwiseConv2D) (None, 14, 14, 256) 2304 \n", - "_________________________________________________________________\n", - "conv_dw_6_bn (BatchNormaliza (None, 14, 14, 256) 1024 \n", - "_________________________________________________________________\n", - "conv_dw_6_relu (ReLU) (None, 14, 14, 256) 0 \n", - "_________________________________________________________________\n", - "conv_pw_6 (Conv2D) (None, 14, 14, 512) 131072 \n", - "_________________________________________________________________\n", - "conv_pw_6_bn (BatchNormaliza (None, 14, 14, 512) 2048 \n", - "_________________________________________________________________\n", - "conv_pw_6_relu (ReLU) (None, 14, 14, 512) 0 \n", - "_________________________________________________________________\n", - "conv_dw_7 (DepthwiseConv2D) (None, 14, 14, 512) 4608 \n", - "_________________________________________________________________\n", - "conv_dw_7_bn (BatchNormaliza (None, 14, 14, 512) 2048 \n", - "_________________________________________________________________\n", - "conv_dw_7_relu (ReLU) (None, 14, 14, 512) 0 \n", - "_________________________________________________________________\n", - "conv_pw_7 (Conv2D) (None, 14, 14, 512) 262144 \n", - "_________________________________________________________________\n", - "conv_pw_7_bn (BatchNormaliza (None, 14, 14, 512) 2048 \n", - "_________________________________________________________________\n", - "conv_pw_7_relu (ReLU) (None, 14, 14, 512) 0 \n", - "_________________________________________________________________\n", - "conv_dw_8 (DepthwiseConv2D) (None, 14, 14, 512) 4608 \n", - "_________________________________________________________________\n", - "conv_dw_8_bn (BatchNormaliza (None, 14, 14, 512) 2048 \n", - "_________________________________________________________________\n", - "conv_dw_8_relu (ReLU) (None, 14, 14, 512) 0 \n", - "_________________________________________________________________\n", - "conv_pw_8 (Conv2D) (None, 14, 14, 512) 262144 \n", - "_________________________________________________________________\n", - "conv_pw_8_bn (BatchNormaliza (None, 14, 14, 512) 2048 \n", - "_________________________________________________________________\n", - "conv_pw_8_relu (ReLU) (None, 14, 14, 512) 0 \n", - "_________________________________________________________________\n", - "conv_dw_9 (DepthwiseConv2D) (None, 14, 14, 512) 4608 \n", - "_________________________________________________________________\n", - "conv_dw_9_bn (BatchNormaliza (None, 14, 14, 512) 2048 \n", - "_________________________________________________________________\n", - "conv_dw_9_relu (ReLU) (None, 14, 14, 512) 0 \n", - "_________________________________________________________________\n", - "conv_pw_9 (Conv2D) (None, 14, 14, 512) 262144 \n", - "_________________________________________________________________\n", - "conv_pw_9_bn (BatchNormaliza (None, 14, 14, 512) 2048 \n", - "_________________________________________________________________\n", - "conv_pw_9_relu (ReLU) (None, 14, 14, 512) 0 \n", - "_________________________________________________________________\n", - "conv_dw_10 (DepthwiseConv2D) (None, 14, 14, 512) 4608 \n", - "_________________________________________________________________\n", - "conv_dw_10_bn (BatchNormaliz (None, 14, 14, 512) 2048 \n", - "_________________________________________________________________\n", - "conv_dw_10_relu (ReLU) (None, 14, 14, 512) 0 \n", - "_________________________________________________________________\n", - "conv_pw_10 (Conv2D) (None, 14, 14, 512) 262144 \n", - "_________________________________________________________________\n", - "conv_pw_10_bn (BatchNormaliz (None, 14, 14, 512) 2048 \n", - "_________________________________________________________________\n", - "conv_pw_10_relu (ReLU) (None, 14, 14, 512) 0 \n", - "_________________________________________________________________\n", - "conv_dw_11 (DepthwiseConv2D) (None, 14, 14, 512) 4608 \n", - "_________________________________________________________________\n", - "conv_dw_11_bn (BatchNormaliz (None, 14, 14, 512) 2048 \n", - "_________________________________________________________________\n", - "conv_dw_11_relu (ReLU) (None, 14, 14, 512) 0 \n", - "_________________________________________________________________\n", - "conv_pw_11 (Conv2D) (None, 14, 14, 512) 262144 \n", - "_________________________________________________________________\n", - "conv_pw_11_bn (BatchNormaliz (None, 14, 14, 512) 2048 \n", - "_________________________________________________________________\n", - "conv_pw_11_relu (ReLU) (None, 14, 14, 512) 0 \n", - "_________________________________________________________________\n", - "conv_pad_12 (ZeroPadding2D) (None, 15, 15, 512) 0 \n", - "_________________________________________________________________\n", - "conv_dw_12 (DepthwiseConv2D) (None, 7, 7, 512) 4608 \n", - "_________________________________________________________________\n", - "conv_dw_12_bn (BatchNormaliz (None, 7, 7, 512) 2048 \n", - "_________________________________________________________________\n", - "conv_dw_12_relu (ReLU) (None, 7, 7, 512) 0 \n", - "_________________________________________________________________\n", - "conv_pw_12 (Conv2D) (None, 7, 7, 1024) 524288 \n", - "_________________________________________________________________\n", - "conv_pw_12_bn (BatchNormaliz (None, 7, 7, 1024) 4096 \n", - "_________________________________________________________________\n", - "conv_pw_12_relu (ReLU) (None, 7, 7, 1024) 0 \n", - "_________________________________________________________________\n", - "conv_dw_13 (DepthwiseConv2D) (None, 7, 7, 1024) 9216 \n", - "_________________________________________________________________\n", - "conv_dw_13_bn (BatchNormaliz (None, 7, 7, 1024) 4096 \n", - "_________________________________________________________________\n", - "conv_dw_13_relu (ReLU) (None, 7, 7, 1024) 0 \n", - "_________________________________________________________________\n", - "conv_pw_13 (Conv2D) (None, 7, 7, 1024) 1048576 \n", - "_________________________________________________________________\n", - "conv_pw_13_bn (BatchNormaliz (None, 7, 7, 1024) 4096 \n", - "_________________________________________________________________\n", - "conv_pw_13_relu (ReLU) (None, 7, 7, 1024) 0 \n", - "_________________________________________________________________\n", - "global_average_pooling2d_1 ( (None, 1024) 0 \n", - "_________________________________________________________________\n", - "dense_4 (Dense) (None, 1024) 1049600 \n", - "_________________________________________________________________\n", - "dense_5 (Dense) (None, 1024) 1049600 \n", - "_________________________________________________________________\n", - "dense_6 (Dense) (None, 512) 524800 \n", - "_________________________________________________________________\n", - "dense_7 (Dense) (None, 10) 5130 \n", - "=================================================================\n", - "Total params: 5,857,994\n", - "Trainable params: 2,629,130\n", - "Non-trainable params: 3,228,864\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten, GlobalAveragePooling2D\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D, ZeroPadding2D\n", - "from tensorflow.keras.layers import BatchNormalization\n", - "from tensorflow.keras.models import Model\n", - "\n", - "# Set our class number to 3 (Young, Middle, Old)\n", - "num_classes = 10\n", - "\n", - "FC_Head = addTopModelMobileNet(MobileNet, num_classes)\n", - "\n", - "model = Model(inputs = MobileNet.input, outputs = FC_Head)\n", - "\n", - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Loading our Monkey Breed Dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 1098 images belonging to 10 classes.\n", - "Found 272 images belonging to 10 classes.\n" - ] - } - ], - "source": [ - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "\n", - "train_data_dir = './monkey_breed/train'\n", - "validation_data_dir = './monkey_breed/validation'\n", - "\n", - "# Let's use some data augmentaiton \n", - "train_datagen = ImageDataGenerator(\n", - " rescale=1./255,\n", - " rotation_range=45,\n", - " width_shift_range=0.3,\n", - " height_shift_range=0.3,\n", - " horizontal_flip=True,\n", - " fill_mode='nearest')\n", - " \n", - "validation_datagen = ImageDataGenerator(rescale=1./255)\n", - " \n", - "# set our batch size (typically on most mid tier systems we'll use 16-32)\n", - "batch_size = 32\n", - " \n", - "train_generator = train_datagen.flow_from_directory(\n", - " train_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical')\n", - " \n", - "validation_generator = validation_datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Training out Model\n", - "- Note we're using checkpointing and early stopping" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.optimizers import RMSprop\n", - "from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping\n", - "\n", - " \n", - "checkpoint = ModelCheckpoint(\"monkey_breed_mobileNet.h5\",\n", - " monitor=\"val_loss\",\n", - " mode=\"min\",\n", - " save_best_only = True,\n", - " verbose=1)\n", - "\n", - "earlystop = EarlyStopping(monitor = 'val_loss', \n", - " min_delta = 0, \n", - " patience = 3,\n", - " verbose = 1,\n", - " restore_best_weights = True)\n", - "\n", - "# we put our call backs into a callback list\n", - "callbacks = [earlystop, checkpoint]\n", - "\n", - "# We use a very small learning rate \n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = RMSprop(lr = 0.001),\n", - " metrics = ['accuracy'])\n", - "\n", - "# Enter the number of training and validation samples here\n", - "nb_train_samples = 1097\n", - "nb_validation_samples = 272\n", - "\n", - "# We only train 5 EPOCHS \n", - "epochs = 1\n", - "batch_size = 16\n", - "\n", - "history = model.fit_generator(\n", - " train_generator,\n", - " steps_per_epoch = nb_train_samples // batch_size,\n", - " epochs = epochs,\n", - " callbacks = callbacks,\n", - " validation_data = validation_generator,\n", - " validation_steps = nb_validation_samples // batch_size)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Loading our classifer\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "ename": "OSError", - "evalue": "SavedModel file does not exist at: monkey_breed_mobileNet.h5/{saved_model.pbtxt|saved_model.pb}", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mOSError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mtensorflow\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkeras\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmodels\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mload_model\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mclassifier\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mload_model\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'monkey_breed_mobileNet.h5'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\tensorflow_core\\python\\keras\\saving\\save.py\u001b[0m in \u001b[0;36mload_model\u001b[1;34m(filepath, custom_objects, compile)\u001b[0m\n\u001b[0;32m 147\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 148\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilepath\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msix\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstring_types\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 149\u001b[1;33m \u001b[0mloader_impl\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparse_saved_model\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilepath\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 150\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0msaved_model_load\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilepath\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcompile\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 151\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\tensorflow_core\\python\\saved_model\\loader_impl.py\u001b[0m in \u001b[0;36mparse_saved_model\u001b[1;34m(export_dir)\u001b[0m\n\u001b[0;32m 81\u001b[0m (export_dir,\n\u001b[0;32m 82\u001b[0m \u001b[0mconstants\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSAVED_MODEL_FILENAME_PBTXT\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 83\u001b[1;33m constants.SAVED_MODEL_FILENAME_PB))\n\u001b[0m\u001b[0;32m 84\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 85\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mOSError\u001b[0m: SavedModel file does not exist at: monkey_breed_mobileNet.h5/{saved_model.pbtxt|saved_model.pb}" - ] - } - ], - "source": [ - "from tensorflow.keras.models import load_model\n", - "\n", - "classifier = load_model('monkey_breed_mobileNet.h5')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Testing our classifer on some test images" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Class - mantled_howler \n", - "Class - patas_monkey\n", - "Class - patas_monkey\n", - "Class - silvery_marmoset\n", - "Class - black_headed_night_monkey\n", - "Class - pygmy_marmoset \n", - "Class - silvery_marmoset\n", - "Class - mantled_howler \n", - "Class - common_squirrel_monkey\n", - "Class - patas_monkey\n" - ] - } - ], - "source": [ - "import os\n", - "import cv2\n", - "import numpy as np\n", - "from os import listdir\n", - "from os.path import isfile, join\n", - "\n", - "monkey_breeds_dict = {\"[0]\": \"mantled_howler \", \n", - " \"[1]\": \"patas_monkey\",\n", - " \"[2]\": \"bald_uakari\",\n", - " \"[3]\": \"japanese_macaque\",\n", - " \"[4]\": \"pygmy_marmoset \",\n", - " \"[5]\": \"white_headed_capuchin\",\n", - " \"[6]\": \"silvery_marmoset\",\n", - " \"[7]\": \"common_squirrel_monkey\",\n", - " \"[8]\": \"black_headed_night_monkey\",\n", - " \"[9]\": \"nilgiri_langur\"}\n", - "\n", - "monkey_breeds_dict_n = {\"n0\": \"mantled_howler \", \n", - " \"n1\": \"patas_monkey\",\n", - " \"n2\": \"bald_uakari\",\n", - " \"n3\": \"japanese_macaque\",\n", - " \"n4\": \"pygmy_marmoset \",\n", - " \"n5\": \"white_headed_capuchin\",\n", - " \"n6\": \"silvery_marmoset\",\n", - " \"n7\": \"common_squirrel_monkey\",\n", - " \"n8\": \"black_headed_night_monkey\",\n", - " \"n9\": \"nilgiri_langur\"}\n", - "\n", - "def draw_test(name, pred, im):\n", - " monkey = monkey_breeds_dict[str(pred)]\n", - " BLACK = [0,0,0]\n", - " expanded_image = cv2.copyMakeBorder(im, 80, 0, 0, 100 ,cv2.BORDER_CONSTANT,value=BLACK)\n", - " cv2.putText(expanded_image, monkey, (20, 60) , cv2.FONT_HERSHEY_SIMPLEX,1, (0,0,255), 2)\n", - " cv2.imshow(name, expanded_image)\n", - "\n", - "def getRandomImage(path):\n", - " \"\"\"function loads a random images from a random folder in our test path \"\"\"\n", - " folders = list(filter(lambda x: os.path.isdir(os.path.join(path, x)), os.listdir(path)))\n", - " random_directory = np.random.randint(0,len(folders))\n", - " path_class = folders[random_directory]\n", - " print(\"Class - \" + monkey_breeds_dict_n[str(path_class)])\n", - " file_path = path + path_class\n", - " file_names = [f for f in listdir(file_path) if isfile(join(file_path, f))]\n", - " random_file_index = np.random.randint(0,len(file_names))\n", - " image_name = file_names[random_file_index]\n", - " return cv2.imread(file_path+\"/\"+image_name) \n", - "\n", - "for i in range(0,10):\n", - " input_im = getRandomImage(\"./monkey_breed/validation/\")\n", - " input_original = input_im.copy()\n", - " input_original = cv2.resize(input_original, None, fx=0.5, fy=0.5, interpolation = cv2.INTER_LINEAR)\n", - " \n", - " input_im = cv2.resize(input_im, (224, 224), interpolation = cv2.INTER_LINEAR)\n", - " input_im = input_im / 255.\n", - " input_im = input_im.reshape(1,224,224,3) \n", - " \n", - " # Get Prediction\n", - " res = np.argmax(classifier.predict(input_im, 1, verbose = 0), axis=1)\n", - " \n", - " # Show image with predicted class\n", - " draw_test(\"Prediction\", res, input_original) \n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:7cfba96836be5c73270dc3440eb23b49d7abac26a1c67b8f79fc7d86417032b7 +size 32387 diff --git a/15. Transfer Learning & Fine Tuning/15.3 Making a Flower Classifier with VGG16.ipynb b/15. Transfer Learning & Fine Tuning/15.3 Making a Flower Classifier with VGG16.ipynb index a6ea1b135acc35b94ff29c4c31d55f83fd47263d..e95806e74a3a670a29189ea444c15f77ac3b6542 100644 --- a/15. Transfer Learning & Fine Tuning/15.3 Making a Flower Classifier with VGG16.ipynb +++ b/15. Transfer Learning & Fine Tuning/15.3 Making a Flower Classifier with VGG16.ipynb @@ -1,693 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Making a Flower Classifier with VGG16\n", - "\n", - "### Loading the VGG16 Model" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.applications import VGG16\n", - "\n", - "# VGG16 was designed to work on 224 x 224 pixel input images sizes\n", - "img_rows = 224\n", - "img_cols = 224 \n", - "\n", - "#Loads the VGG16 model \n", - "vgg16 = VGG16(weights = 'imagenet', \n", - " include_top = False, \n", - " input_shape = (img_rows, img_cols, 3))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Inpsecting each layer" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0 InputLayer True\n", - "1 Conv2D True\n", - "2 Conv2D True\n", - "3 MaxPooling2D True\n", - "4 Conv2D True\n", - "5 Conv2D True\n", - "6 MaxPooling2D True\n", - "7 Conv2D True\n", - "8 Conv2D True\n", - "9 Conv2D True\n", - "10 MaxPooling2D True\n", - "11 Conv2D True\n", - "12 Conv2D True\n", - "13 Conv2D True\n", - "14 MaxPooling2D True\n", - "15 Conv2D True\n", - "16 Conv2D True\n", - "17 Conv2D True\n", - "18 MaxPooling2D True\n" - ] - } - ], - "source": [ - "# Let's print our layers \n", - "for (i,layer) in enumerate(vgg16.layers):\n", - " print(str(i) + \" \"+ layer.__class__.__name__, layer.trainable)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's freeze all layers except the top 4 " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0 InputLayer False\n", - "1 Conv2D False\n", - "2 Conv2D False\n", - "3 MaxPooling2D False\n", - "4 Conv2D False\n", - "5 Conv2D False\n", - "6 MaxPooling2D False\n", - "7 Conv2D False\n", - "8 Conv2D False\n", - "9 Conv2D False\n", - "10 MaxPooling2D False\n", - "11 Conv2D False\n", - "12 Conv2D False\n", - "13 Conv2D False\n", - "14 MaxPooling2D False\n", - "15 Conv2D False\n", - "16 Conv2D False\n", - "17 Conv2D False\n", - "18 MaxPooling2D False\n" - ] - } - ], - "source": [ - "from tensorflow.keras.applications import VGG16\n", - "\n", - "# VGG16 was designed to work on 224 x 224 pixel input images sizes\n", - "img_rows = 224\n", - "img_cols = 224 \n", - "\n", - "# Re-loads the VGG16 model without the top or FC layers\n", - "vgg16 = VGG16(weights = 'imagenet', \n", - " include_top = False, \n", - " input_shape = (img_rows, img_cols, 3))\n", - "\n", - "# Here we freeze the last 4 layers \n", - "# Layers are set to trainable as True by default\n", - "for layer in vgg16.layers:\n", - " layer.trainable = False\n", - " \n", - "# Let's print our layers \n", - "for (i,layer) in enumerate(vgg16.layers):\n", - " print(str(i) + \" \"+ layer.__class__.__name__, layer.trainable)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's make a function that returns our FC Head" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "def addTopModel(bottom_model, num_classes, D=256):\n", - " \"\"\"creates the top or head of the model that will be \n", - " placed ontop of the bottom layers\"\"\"\n", - " top_model = bottom_model.output\n", - " top_model = Flatten(name = \"flatten\")(top_model)\n", - " top_model = Dense(D, activation = \"relu\")(top_model)\n", - " top_model = Dropout(0.3)(top_model)\n", - " top_model = Dense(num_classes, activation = \"softmax\")(top_model)\n", - " return top_model" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's add our FC Head back onto VGG" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"model\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "input_3 (InputLayer) [(None, 224, 224, 3)] 0 \n", - "_________________________________________________________________\n", - "block1_conv1 (Conv2D) (None, 224, 224, 64) 1792 \n", - "_________________________________________________________________\n", - "block1_conv2 (Conv2D) (None, 224, 224, 64) 36928 \n", - "_________________________________________________________________\n", - "block1_pool (MaxPooling2D) (None, 112, 112, 64) 0 \n", - "_________________________________________________________________\n", - "block2_conv1 (Conv2D) (None, 112, 112, 128) 73856 \n", - "_________________________________________________________________\n", - "block2_conv2 (Conv2D) (None, 112, 112, 128) 147584 \n", - "_________________________________________________________________\n", - "block2_pool (MaxPooling2D) (None, 56, 56, 128) 0 \n", - "_________________________________________________________________\n", - "block3_conv1 (Conv2D) (None, 56, 56, 256) 295168 \n", - "_________________________________________________________________\n", - "block3_conv2 (Conv2D) (None, 56, 56, 256) 590080 \n", - "_________________________________________________________________\n", - "block3_conv3 (Conv2D) (None, 56, 56, 256) 590080 \n", - "_________________________________________________________________\n", - "block3_pool (MaxPooling2D) (None, 28, 28, 256) 0 \n", - "_________________________________________________________________\n", - "block4_conv1 (Conv2D) (None, 28, 28, 512) 1180160 \n", - "_________________________________________________________________\n", - "block4_conv2 (Conv2D) (None, 28, 28, 512) 2359808 \n", - "_________________________________________________________________\n", - "block4_conv3 (Conv2D) (None, 28, 28, 512) 2359808 \n", - "_________________________________________________________________\n", - "block4_pool (MaxPooling2D) (None, 14, 14, 512) 0 \n", - "_________________________________________________________________\n", - "block5_conv1 (Conv2D) (None, 14, 14, 512) 2359808 \n", - "_________________________________________________________________\n", - "block5_conv2 (Conv2D) (None, 14, 14, 512) 2359808 \n", - "_________________________________________________________________\n", - "block5_conv3 (Conv2D) (None, 14, 14, 512) 2359808 \n", - "_________________________________________________________________\n", - "block5_pool (MaxPooling2D) (None, 7, 7, 512) 0 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 25088) 0 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 256) 6422784 \n", - "_________________________________________________________________\n", - "dropout (Dropout) (None, 256) 0 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 17) 4369 \n", - "=================================================================\n", - "Total params: 21,141,841\n", - "Trainable params: 6,427,153\n", - "Non-trainable params: 14,714,688\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D, ZeroPadding2D\n", - "from tensorflow.keras.layers import BatchNormalization\n", - "from tensorflow.keras.models import Model\n", - "\n", - "num_classes = 17\n", - "\n", - "FC_Head = addTopModel(vgg16, num_classes)\n", - "\n", - "model = Model(inputs=vgg16.input, outputs=FC_Head)\n", - "\n", - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Loading our Flowers Dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 1190 images belonging to 17 classes.\n", - "Found 170 images belonging to 17 classes.\n" - ] - } - ], - "source": [ - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "\n", - "train_data_dir = './17_flowers/train'\n", - "validation_data_dir = './17_flowers/validation'\n", - "\n", - "train_datagen = ImageDataGenerator(\n", - " rescale=1./255,\n", - " rotation_range=20,\n", - " width_shift_range=0.2,\n", - " height_shift_range=0.2,\n", - " horizontal_flip=True,\n", - " fill_mode='nearest')\n", - " \n", - "validation_datagen = ImageDataGenerator(rescale=1./255)\n", - " \n", - "# Change the batchsize according to your system RAM\n", - "train_batchsize = 16\n", - "val_batchsize = 10\n", - " \n", - "train_generator = train_datagen.flow_from_directory(\n", - " train_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=train_batchsize,\n", - " class_mode='categorical')\n", - " \n", - "validation_generator = validation_datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=val_batchsize,\n", - " class_mode='categorical',\n", - " shuffle=False)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Training our top layers" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "Train for 74 steps, validate for 10 steps\n", - "73/74 [============================>.] - ETA: 4s - loss: 3.7274 - accuracy: 0.2366\n", - "Epoch 00001: val_loss improved from inf to 1.32238, saving model to flowers_vgg.h5\n", - "74/74 [==============================] - 340s 5s/step - loss: 3.7036 - accuracy: 0.2394 - val_loss: 1.3224 - val_accuracy: 0.5900\n" - ] - } - ], - "source": [ - "from tensorflow.keras.optimizers import RMSprop\n", - "from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping\n", - " \n", - "checkpoint = ModelCheckpoint(\"flowers_vgg.h5\",\n", - " monitor=\"val_loss\",\n", - " mode=\"min\",\n", - " save_best_only = True,\n", - " verbose=1)\n", - "\n", - "earlystop = EarlyStopping(monitor = 'val_loss', \n", - " min_delta = 0, \n", - " patience = 3,\n", - " verbose = 1,\n", - " restore_best_weights = True)\n", - "\n", - "# we put our call backs into a callback list\n", - "callbacks = [earlystop, checkpoint]\n", - "\n", - "# Note we use a very small learning rate \n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = RMSprop(lr = 0.001),\n", - " metrics = ['accuracy'])\n", - "\n", - "nb_train_samples = 1190\n", - "nb_validation_samples = 170\n", - "epochs = 5\n", - "batch_size = 16\n", - "\n", - "history = model.fit_generator(\n", - " train_generator,\n", - " steps_per_epoch = nb_train_samples // batch_size,\n", - " epochs = epochs,\n", - " callbacks = callbacks,\n", - " validation_data = validation_generator,\n", - " validation_steps = nb_validation_samples // batch_size)\n", - "\n", - "model.save(\"flowers_vgg.h5\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Can we speed this up?\n", - "#### Let's try re-sizing the image to 64 x 64" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0 InputLayer False\n", - "1 Conv2D False\n", - "2 Conv2D False\n", - "3 MaxPooling2D False\n", - "4 Conv2D False\n", - "5 Conv2D False\n", - "6 MaxPooling2D False\n", - "7 Conv2D False\n", - "8 Conv2D False\n", - "9 Conv2D False\n", - "10 MaxPooling2D False\n", - "11 Conv2D False\n", - "12 Conv2D False\n", - "13 Conv2D False\n", - "14 MaxPooling2D False\n", - "15 Conv2D False\n", - "16 Conv2D False\n", - "17 Conv2D False\n", - "18 MaxPooling2D False\n" - ] - } - ], - "source": [ - "from tensorflow.keras.applications import VGG16\n", - "\n", - "# Setting the input size now to 64 x 64 pixel \n", - "img_rows = 64\n", - "img_cols = 64 \n", - "\n", - "# Re-loads the VGG16 model without the top or FC layers\n", - "vgg16 = VGG16(weights = 'imagenet', \n", - " include_top = False, \n", - " input_shape = (img_rows, img_cols, 3))\n", - "\n", - "# Here we freeze the last 4 layers \n", - "# Layers are set to trainable as True by default\n", - "for layer in vgg16.layers:\n", - " layer.trainable = False\n", - " \n", - "# Let's print our layers \n", - "for (i,layer) in enumerate(vgg16.layers):\n", - " print(str(i) + \" \"+ layer.__class__.__name__, layer.trainable)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's create our new model using an image size of 64 x 64" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 1190 images belonging to 17 classes.\n", - "Found 170 images belonging to 17 classes.\n", - "Model: \"model_1\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "input_5 (InputLayer) [(None, 64, 64, 3)] 0 \n", - "_________________________________________________________________\n", - "block1_conv1 (Conv2D) (None, 64, 64, 64) 1792 \n", - "_________________________________________________________________\n", - "block1_conv2 (Conv2D) (None, 64, 64, 64) 36928 \n", - "_________________________________________________________________\n", - "block1_pool (MaxPooling2D) (None, 32, 32, 64) 0 \n", - "_________________________________________________________________\n", - "block2_conv1 (Conv2D) (None, 32, 32, 128) 73856 \n", - "_________________________________________________________________\n", - "block2_conv2 (Conv2D) (None, 32, 32, 128) 147584 \n", - "_________________________________________________________________\n", - "block2_pool (MaxPooling2D) (None, 16, 16, 128) 0 \n", - "_________________________________________________________________\n", - "block3_conv1 (Conv2D) (None, 16, 16, 256) 295168 \n", - "_________________________________________________________________\n", - "block3_conv2 (Conv2D) (None, 16, 16, 256) 590080 \n", - "_________________________________________________________________\n", - "block3_conv3 (Conv2D) (None, 16, 16, 256) 590080 \n", - "_________________________________________________________________\n", - "block3_pool (MaxPooling2D) (None, 8, 8, 256) 0 \n", - "_________________________________________________________________\n", - "block4_conv1 (Conv2D) (None, 8, 8, 512) 1180160 \n", - "_________________________________________________________________\n", - "block4_conv2 (Conv2D) (None, 8, 8, 512) 2359808 \n", - "_________________________________________________________________\n", - "block4_conv3 (Conv2D) (None, 8, 8, 512) 2359808 \n", - "_________________________________________________________________\n", - "block4_pool (MaxPooling2D) (None, 4, 4, 512) 0 \n", - "_________________________________________________________________\n", - "block5_conv1 (Conv2D) (None, 4, 4, 512) 2359808 \n", - "_________________________________________________________________\n", - "block5_conv2 (Conv2D) (None, 4, 4, 512) 2359808 \n", - "_________________________________________________________________\n", - "block5_conv3 (Conv2D) (None, 4, 4, 512) 2359808 \n", - "_________________________________________________________________\n", - "block5_pool (MaxPooling2D) (None, 2, 2, 512) 0 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 2048) 0 \n", - "_________________________________________________________________\n", - "dense_2 (Dense) (None, 256) 524544 \n", - "_________________________________________________________________\n", - "dropout_1 (Dropout) (None, 256) 0 \n", - "_________________________________________________________________\n", - "dense_3 (Dense) (None, 17) 4369 \n", - "=================================================================\n", - "Total params: 15,243,601\n", - "Trainable params: 528,913\n", - "Non-trainable params: 14,714,688\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "from tensorflow.keras.applications import VGG16\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D, ZeroPadding2D\n", - "from tensorflow.keras.layers import BatchNormalization\n", - "from tensorflow.keras.models import Model\n", - "from tensorflow.keras.optimizers import RMSprop\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "\n", - "train_data_dir = './17_flowers/train'\n", - "validation_data_dir = './17_flowers/validation'\n", - "\n", - "train_datagen = ImageDataGenerator(\n", - " rescale=1./255,\n", - " rotation_range=20,\n", - " width_shift_range=0.2,\n", - " height_shift_range=0.2,\n", - " horizontal_flip=True,\n", - " fill_mode='nearest')\n", - " \n", - "validation_datagen = ImageDataGenerator(rescale=1./255)\n", - " \n", - "# Change the batchsize according to your system RAM\n", - "train_batchsize = 16\n", - "val_batchsize = 10\n", - " \n", - "train_generator = train_datagen.flow_from_directory(\n", - " train_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=train_batchsize,\n", - " class_mode='categorical')\n", - " \n", - "validation_generator = validation_datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=val_batchsize,\n", - " class_mode='categorical',\n", - " shuffle=False)\n", - "\n", - "# Re-loads the VGG16 model without the top or FC layers\n", - "vgg16 = VGG16(weights = 'imagenet', \n", - " include_top = False, \n", - " input_shape = (img_rows, img_cols, 3))\n", - "\n", - "# Freeze layers\n", - "for layer in vgg16.layers:\n", - " layer.trainable = False\n", - " \n", - "# Number of classes in the Flowers-17 dataset\n", - "num_classes = 17\n", - "\n", - "FC_Head = addTopModel(vgg16, num_classes)\n", - "\n", - "model = Model(inputs=vgg16.input, outputs=FC_Head)\n", - "\n", - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Training using 64 x 64 image size is MUCH faster!" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "Train for 37 steps, validate for 5 steps\n", - "Epoch 1/5\n", - "36/37 [============================>.] - ETA: 0s - loss: 2.7539 - accuracy: 0.1343\n", - "Epoch 00001: val_loss improved from inf to 2.57583, saving model to flowers_vgg_64.h5\n", - "37/37 [==============================] - 18s 486ms/step - loss: 2.7530 - accuracy: 0.1375 - val_loss: 2.5758 - val_accuracy: 0.0800\n", - "Epoch 2/5\n", - "36/37 [============================>.] - ETA: 0s - loss: 2.5438 - accuracy: 0.2101\n", - "Epoch 00002: val_loss improved from 2.57583 to 2.45450, saving model to flowers_vgg_64.h5\n", - "37/37 [==============================] - 20s 537ms/step - loss: 2.5496 - accuracy: 0.2111 - val_loss: 2.4545 - val_accuracy: 0.2600\n", - "Epoch 3/5\n", - "36/37 [============================>.] - ETA: 0s - loss: 2.3475 - accuracy: 0.2934\n", - "Epoch 00003: val_loss improved from 2.45450 to 2.16252, saving model to flowers_vgg_64.h5\n", - "37/37 [==============================] - 18s 494ms/step - loss: 2.3422 - accuracy: 0.2939 - val_loss: 2.1625 - val_accuracy: 0.4400\n", - "Epoch 4/5\n", - "36/37 [============================>.] - ETA: 0s - loss: 2.2175 - accuracy: 0.3316\n", - "Epoch 00004: val_loss improved from 2.16252 to 2.07525, saving model to flowers_vgg_64.h5\n", - "37/37 [==============================] - 18s 473ms/step - loss: 2.2229 - accuracy: 0.3260 - val_loss: 2.0753 - val_accuracy: 0.4800\n", - "Epoch 5/5\n", - "36/37 [============================>.] - ETA: 0s - loss: 2.0746 - accuracy: 0.3681\n", - "Epoch 00005: val_loss improved from 2.07525 to 2.02786, saving model to flowers_vgg_64.h5\n", - "37/37 [==============================] - 16s 440ms/step - loss: 2.0630 - accuracy: 0.3694 - val_loss: 2.0279 - val_accuracy: 0.4000\n" - ] - } - ], - "source": [ - "from tensorflow.keras.optimizers import RMSprop\n", - "from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n", - " \n", - "checkpoint = ModelCheckpoint(\"flowers_vgg_64.h5\",\n", - " monitor=\"val_loss\",\n", - " mode=\"min\",\n", - " save_best_only = True,\n", - " verbose=1)\n", - "\n", - "earlystop = EarlyStopping(monitor = 'val_loss', \n", - " min_delta = 0, \n", - " patience = 5,\n", - " verbose = 1,\n", - " restore_best_weights = True)\n", - "\n", - "reduce_lr = ReduceLROnPlateau(monitor = 'val_loss',\n", - " factor = 0.2,\n", - " patience = 3,\n", - " verbose = 1,\n", - " min_delta = 0.00001)\n", - "\n", - "# we put our call backs into a callback list\n", - "callbacks = [earlystop, checkpoint, reduce_lr]\n", - "\n", - "# Note we use a very small learning rate \n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = RMSprop(lr = 0.0001),\n", - " metrics = ['accuracy'])\n", - "\n", - "nb_train_samples = 1190\n", - "nb_validation_samples = 170\n", - "epochs = 5\n", - "batch_size = 32\n", - "\n", - "history = model.fit_generator(\n", - " train_generator,\n", - " steps_per_epoch = nb_train_samples // batch_size,\n", - " epochs = epochs,\n", - " callbacks = callbacks,\n", - " validation_data = validation_generator,\n", - " validation_steps = nb_validation_samples // batch_size)\n", - "\n", - "model.save(\"flowers_vgg_64.h5\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:8acdd1268c480f226cf962047183add29323d917b30897ee768d03f76f26c05d +size 26375 diff --git a/16. Design Your Own CNN - LittleVGG/16.2 LittleVGG - Simpsons.ipynb b/16. Design Your Own CNN - LittleVGG/16.2 LittleVGG - Simpsons.ipynb index 8ea34b04663611388de1dc9a07274eadccf79182..0f40ee33382ec291079c22a071808a4a692f26b3 100644 --- a/16. Design Your Own CNN - LittleVGG/16.2 LittleVGG - Simpsons.ipynb +++ b/16. Design Your Own CNN - LittleVGG/16.2 LittleVGG - Simpsons.ipynb @@ -1,600 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# LittleVGG \n", - "- We're going to be training this on the simpsons character dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 19548 images belonging to 20 classes.\n", - "Found 990 images belonging to 20 classes.\n" - ] - } - ], - "source": [ - "from __future__ import print_function\n", - "import tensorflow as tf\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten, BatchNormalization\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", - "from tensorflow.keras.layers import ELU\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "import os\n", - "\n", - "num_classes = 20\n", - "img_rows, img_cols = 32, 32\n", - "batch_size = 16\n", - "\n", - "train_data_dir = './simpsons/train'\n", - "validation_data_dir = './simpsons/validation'\n", - "\n", - "# Let's use some data augmentaiton \n", - "train_datagen = ImageDataGenerator(\n", - " rescale=1./255,\n", - " rotation_range=30,\n", - " width_shift_range=0.3,\n", - " height_shift_range=0.3,\n", - " horizontal_flip=True,\n", - " fill_mode='nearest')\n", - " \n", - "validation_datagen = ImageDataGenerator(rescale=1./255)\n", - " \n", - "train_generator = train_datagen.flow_from_directory(\n", - " train_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical')\n", - " \n", - "validation_generator = validation_datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Let's create our LittleVGG Model" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d (Conv2D) (None, 32, 32, 64) 1792 \n", - "_________________________________________________________________\n", - "activation (Activation) (None, 32, 32, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization (BatchNo (None, 32, 32, 64) 256 \n", - "_________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 32, 32, 64) 36928 \n", - "_________________________________________________________________\n", - "activation_1 (Activation) (None, 32, 32, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_1 (Batch (None, 32, 32, 64) 256 \n", - "_________________________________________________________________\n", - "max_pooling2d (MaxPooling2D) (None, 16, 16, 64) 0 \n", - "_________________________________________________________________\n", - "dropout (Dropout) (None, 16, 16, 64) 0 \n", - "_________________________________________________________________\n", - "conv2d_2 (Conv2D) (None, 16, 16, 128) 73856 \n", - "_________________________________________________________________\n", - "activation_2 (Activation) (None, 16, 16, 128) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_2 (Batch (None, 16, 16, 128) 512 \n", - "_________________________________________________________________\n", - "conv2d_3 (Conv2D) (None, 16, 16, 128) 147584 \n", - "_________________________________________________________________\n", - "activation_3 (Activation) (None, 16, 16, 128) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_3 (Batch (None, 16, 16, 128) 512 \n", - "_________________________________________________________________\n", - "max_pooling2d_1 (MaxPooling2 (None, 8, 8, 128) 0 \n", - "_________________________________________________________________\n", - "dropout_1 (Dropout) (None, 8, 8, 128) 0 \n", - "_________________________________________________________________\n", - "conv2d_4 (Conv2D) (None, 8, 8, 256) 295168 \n", - "_________________________________________________________________\n", - "activation_4 (Activation) (None, 8, 8, 256) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_4 (Batch (None, 8, 8, 256) 1024 \n", - "_________________________________________________________________\n", - "conv2d_5 (Conv2D) (None, 8, 8, 256) 590080 \n", - "_________________________________________________________________\n", - "activation_5 (Activation) (None, 8, 8, 256) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_5 (Batch (None, 8, 8, 256) 1024 \n", - "_________________________________________________________________\n", - "max_pooling2d_2 (MaxPooling2 (None, 4, 4, 256) 0 \n", - "_________________________________________________________________\n", - "dropout_2 (Dropout) (None, 4, 4, 256) 0 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 4096) 0 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 256) 1048832 \n", - "_________________________________________________________________\n", - "activation_6 (Activation) (None, 256) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_6 (Batch (None, 256) 1024 \n", - "_________________________________________________________________\n", - "dropout_3 (Dropout) (None, 256) 0 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 256) 65792 \n", - "_________________________________________________________________\n", - "activation_7 (Activation) (None, 256) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_7 (Batch (None, 256) 1024 \n", - "_________________________________________________________________\n", - "dropout_4 (Dropout) (None, 256) 0 \n", - "_________________________________________________________________\n", - "dense_2 (Dense) (None, 20) 5140 \n", - "_________________________________________________________________\n", - "activation_8 (Activation) (None, 20) 0 \n", - "=================================================================\n", - "Total params: 2,270,804\n", - "Trainable params: 2,267,988\n", - "Non-trainable params: 2,816\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "model = Sequential()\n", - "\n", - "# First CONV-ReLU Layer\n", - "model.add(Conv2D(64, (3, 3), padding = 'same', input_shape = (img_rows, img_cols, 3)))\n", - "model.add(Activation('relu'))\n", - "model.add(BatchNormalization())\n", - "\n", - "# Second CONV-ReLU Layer\n", - "model.add(Conv2D(64, (3, 3), padding = \"same\", input_shape = (img_rows, img_cols, 3)))\n", - "model.add(Activation('relu'))\n", - "model.add(BatchNormalization())\n", - "\n", - "# Max Pooling with Dropout \n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# 3rd set of CONV-ReLU Layers\n", - "model.add(Conv2D(128, (3, 3), padding=\"same\"))\n", - "model.add(Activation('relu'))\n", - "model.add(BatchNormalization())\n", - "\n", - "# 4th Set of CONV-ReLU Layers\n", - "model.add(Conv2D(128, (3, 3), padding=\"same\"))\n", - "model.add(Activation('relu'))\n", - "model.add(BatchNormalization())\n", - "\n", - "# Max Pooling with Dropout \n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# 5th Set of CONV-ReLU Layers\n", - "model.add(Conv2D(256, (3, 3), padding=\"same\"))\n", - "model.add(Activation('relu'))\n", - "model.add(BatchNormalization())\n", - "\n", - "# 6th Set of CONV-ReLU Layers\n", - "model.add(Conv2D(256, (3, 3), padding=\"same\"))\n", - "model.add(Activation('relu'))\n", - "model.add(BatchNormalization())\n", - "\n", - "# Max Pooling with Dropout \n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# First set of FC or Dense Layers\n", - "model.add(Flatten())\n", - "model.add(Dense(256))\n", - "model.add(Activation('relu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Dropout(0.5))\n", - "\n", - "# Second set of FC or Dense Layers\n", - "model.add(Dense(256))\n", - "model.add(Activation('relu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Dropout(0.5))\n", - "\n", - "# Final Dense Layer\n", - "model.add(Dense(num_classes))\n", - "model.add(Activation(\"softmax\"))\n", - "\n", - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's take a look at our model" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Failed to import pydot. You must install pydot and graphviz for `pydotprint` to work.\n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "%matplotlib inline\n", - "import tensorflow as tf\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.utils import plot_model\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib.image as mpimg\n", - "import numpy as np\n", - "\n", - "plot_model(model, to_file='LittleVGG.png', show_shapes=True, show_layer_names=True)\n", - "img = mpimg.imread('LittleVGG.png')\n", - "plt.figure(figsize=(100,70))\n", - "imgplot = plt.imshow(img) " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Training our LittleVGG Model!" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "Train for 1221 steps, validate for 61 steps\n", - "1220/1221 [============================>.] - ETA: 0s - loss: 2.8344 - accuracy: 0.1673\n", - "Epoch 00001: val_loss improved from inf to 2.76441, saving model to simpsons_little_vgg.h5\n", - "1221/1221 [==============================] - 458s 375ms/step - loss: 2.8343 - accuracy: 0.1674 - val_loss: 2.7644 - val_accuracy: 0.1619\n" - ] - } - ], - "source": [ - "from tensorflow.keras.optimizers import RMSprop, SGD, Adam\n", - "from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n", - "\n", - " \n", - "checkpoint = ModelCheckpoint(\"simpsons_little_vgg.h5\",\n", - " monitor=\"val_loss\",\n", - " mode=\"min\",\n", - " save_best_only = True,\n", - " verbose=1)\n", - "\n", - "earlystop = EarlyStopping(monitor = 'val_loss', \n", - " min_delta = 0, \n", - " patience = 3,\n", - " verbose = 1,\n", - " restore_best_weights = True)\n", - "\n", - "reduce_lr = ReduceLROnPlateau(monitor = 'val_loss',\n", - " factor = 0.2,\n", - " patience = 3,\n", - " verbose = 1,\n", - " min_delta = 0.00001)\n", - "\n", - "# we put our call backs into a callback list\n", - "callbacks = [earlystop, checkpoint, reduce_lr]\n", - "\n", - "# We use a very small learning rate \n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = Adam(lr=0.01),\n", - " metrics = ['accuracy'])\n", - "\n", - "nb_train_samples = 19548\n", - "nb_validation_samples = 990\n", - "epochs = 10\n", - "\n", - "history = model.fit_generator(\n", - " train_generator,\n", - " steps_per_epoch = nb_train_samples // batch_size,\n", - " epochs = epochs,\n", - " callbacks = callbacks,\n", - " validation_data = validation_generator,\n", - " validation_steps = nb_validation_samples // batch_size)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Performance Analysis" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 990 images belonging to 20 classes.\n", - "WARNING:tensorflow:From :22: Model.predict_generator (from tensorflow.python.keras.engine.training) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "Please use Model.predict, which supports generators.\n", - "Confusion Matrix\n", - "[[11 0 8 0 0 0 0 14 0 6 0 6 0 0 1 0 0 0 0 2]\n", - " [ 0 0 0 1 0 0 0 1 0 45 0 1 0 0 0 1 1 0 0 0]\n", - " [ 0 0 14 0 0 0 0 7 0 4 0 21 0 0 0 0 0 0 4 0]\n", - " [ 0 0 20 0 0 0 0 5 0 4 0 8 0 0 0 1 0 0 10 0]\n", - " [ 0 0 1 0 2 0 0 0 0 11 0 2 0 0 1 0 0 0 33 0]\n", - " [ 0 0 14 0 0 0 0 2 0 7 0 11 0 0 2 0 1 0 12 0]\n", - " [ 2 0 10 0 0 0 0 4 0 8 0 17 1 0 1 1 6 0 0 0]\n", - " [ 4 0 9 0 0 0 0 16 0 6 0 10 2 0 0 2 0 0 1 0]\n", - " [ 0 0 12 2 0 0 0 11 0 8 0 10 0 0 4 0 0 0 3 0]\n", - " [ 0 0 0 0 0 0 0 1 0 45 0 1 2 0 0 0 0 0 1 0]\n", - " [ 0 0 7 2 0 0 0 11 0 22 0 3 0 0 0 1 3 0 1 0]\n", - " [ 1 0 12 0 0 0 0 9 0 2 0 23 0 0 1 0 1 0 1 0]\n", - " [ 0 0 0 0 0 0 0 6 0 10 0 10 20 0 4 0 0 0 0 0]\n", - " [ 0 0 10 1 0 0 0 3 0 3 0 4 1 0 1 0 0 0 27 0]\n", - " [ 0 0 9 0 0 0 0 6 0 11 0 12 0 0 5 0 0 0 6 0]\n", - " [ 1 0 9 3 0 0 0 4 0 12 0 4 1 0 0 5 0 0 11 0]\n", - " [ 0 0 8 0 0 0 0 19 0 17 0 1 0 0 0 0 3 0 1 0]\n", - " [ 0 0 20 0 0 0 0 2 0 7 0 9 0 0 0 3 1 0 8 0]\n", - " [ 0 0 13 3 0 0 0 2 0 4 0 9 0 0 0 1 0 0 18 0]\n", - " [ 0 0 5 0 0 0 0 7 0 27 0 2 0 0 0 2 0 0 4 0]]\n", - "Classification Report\n", - " precision recall f1-score support\n", - "\n", - " abraham_grampa_simpson 0.58 0.23 0.33 48\n", - " apu_nahasapeemapetilon 0.00 0.00 0.00 50\n", - " bart_simpson 0.08 0.28 0.12 50\n", - "charles_montgomery_burns 0.00 0.00 0.00 48\n", - " chief_wiggum 1.00 0.04 0.08 50\n", - " comic_book_guy 0.00 0.00 0.00 49\n", - " edna_krabappel 0.00 0.00 0.00 50\n", - " homer_simpson 0.12 0.32 0.18 50\n", - " kent_brockman 0.00 0.00 0.00 50\n", - " krusty_the_clown 0.17 0.90 0.29 50\n", - " lenny_leonard 0.00 0.00 0.00 50\n", - " lisa_simpson 0.14 0.46 0.21 50\n", - " marge_simpson 0.74 0.40 0.52 50\n", - " mayor_quimby 0.00 0.00 0.00 50\n", - " milhouse_van_houten 0.25 0.10 0.14 49\n", - " moe_szyslak 0.29 0.10 0.15 50\n", - " ned_flanders 0.19 0.06 0.09 49\n", - " nelson_muntz 0.00 0.00 0.00 50\n", - " principal_skinner 0.13 0.36 0.19 50\n", - " sideshow_bob 0.00 0.00 0.00 47\n", - "\n", - " accuracy 0.16 990\n", - " macro avg 0.18 0.16 0.12 990\n", - " weighted avg 0.18 0.16 0.12 990\n", - "\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\sklearn\\metrics\\classification.py:1437: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", - " 'precision', 'predicted', average, warn_for)\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import sklearn\n", - "from sklearn.metrics import classification_report, confusion_matrix\n", - "import numpy as np\n", - "\n", - "# We need to recreate our validation generator with shuffle = false\n", - "validation_generator = validation_datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical',\n", - " shuffle=False)\n", - "\n", - "class_labels = validation_generator.class_indices\n", - "class_labels = {v: k for k, v in class_labels.items()}\n", - "classes = list(class_labels.values())\n", - "\n", - "nb_train_samples = 19548\n", - "nb_validation_samples = 990\n", - "\n", - "#Confution Matrix and Classification Report\n", - "Y_pred = model.predict_generator(validation_generator, nb_validation_samples // batch_size+1)\n", - "y_pred = np.argmax(Y_pred, axis=1)\n", - "\n", - "print('Confusion Matrix')\n", - "print(confusion_matrix(validation_generator.classes, y_pred))\n", - "print('Classification Report')\n", - "target_names = list(class_labels.values())\n", - "print(classification_report(validation_generator.classes, y_pred, target_names=target_names))\n", - "\n", - "plt.figure(figsize=(8,8))\n", - "cnf_matrix = confusion_matrix(validation_generator.classes, y_pred)\n", - "\n", - "plt.imshow(cnf_matrix, interpolation='nearest')\n", - "plt.colorbar()\n", - "tick_marks = np.arange(len(classes))\n", - "_ = plt.xticks(tick_marks, classes, rotation=90)\n", - "_ = plt.yticks(tick_marks, classes)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's reload our saved classifier\n", - "If we just trained our classifer, we an use model instead." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.models import load_model\n", - "\n", - "# 77% Accuracy after just 10 Epochs\n", - "classifier = load_model('simpsons_little_vgg.h5')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Some quick fire testing code" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.models import load_model\n", - "from tensorflow.keras.preprocessing import image\n", - "import numpy as np\n", - "import os\n", - "import cv2\n", - "import numpy as np\n", - "from os import listdir\n", - "from os.path import isfile, join\n", - "import re\n", - "\n", - "def draw_test(name, pred, im, true_label):\n", - " BLACK = [0,0,0]\n", - " expanded_image = cv2.copyMakeBorder(im, 160, 0, 0, 300 ,cv2.BORDER_CONSTANT,value=BLACK)\n", - " cv2.putText(expanded_image, \"predited - \"+ pred, (20, 60) , cv2.FONT_HERSHEY_SIMPLEX,1, (0,0,255), 2)\n", - " cv2.putText(expanded_image, \"true - \"+ true_label, (20, 120) , cv2.FONT_HERSHEY_SIMPLEX,1, (0,255,0), 2)\n", - " cv2.imshow(name, expanded_image)\n", - " \n", - "\n", - "def getRandomImage(path, img_width, img_height):\n", - " \"\"\"function loads a random images from a random folder in our test path \"\"\"\n", - " folders = list(filter(lambda x: os.path.isdir(os.path.join(path, x)), os.listdir(path)))\n", - " random_directory = np.random.randint(0,len(folders))\n", - " path_class = folders[random_directory]\n", - " file_path = path + path_class\n", - " file_names = [f for f in listdir(file_path) if isfile(join(file_path, f))]\n", - " random_file_index = np.random.randint(0,len(file_names))\n", - " image_name = file_names[random_file_index]\n", - " final_path = file_path + \"/\" + image_name\n", - " return image.load_img(final_path, target_size = (img_width, img_height)), final_path, path_class\n", - "\n", - "# dimensions of our images\n", - "img_width, img_height = 32, 32\n", - "\n", - "files = []\n", - "predictions = []\n", - "true_labels = []\n", - "\n", - "# predicting images\n", - "for i in range(0, 10):\n", - " path = './simpsons/validation/' \n", - " img, final_path, true_label = getRandomImage(path, img_width, img_height)\n", - " files.append(final_path)\n", - " true_labels.append(true_label)\n", - " x = image.img_to_array(img)\n", - " x = x * 1./255\n", - " x = np.expand_dims(x, axis=0)\n", - " images = np.vstack([x])\n", - " classes = classifier.predict_classes(images, batch_size = 10)\n", - " predictions.append(classes)\n", - " \n", - "for i in range(0, len(files)):\n", - " image = cv2.imread((files[i]))\n", - " image = cv2.resize(image, None, fx=5, fy=5, interpolation = cv2.INTER_CUBIC)\n", - " draw_test(\"Prediction\", class_labels[predictions[i][0]], image, true_labels[i])\n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:59bb50d85bafe8419e9ea0b57c7d3e1e2cbcb3a506d8cb94d37972fb6a66bfca +size 499245 diff --git a/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/18.2 Building an Emotion Detector with LittleVGG.ipynb b/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/18.2 Building an Emotion Detector with LittleVGG.ipynb index 538d57e665ce150ee5202a50cf8328fed5c2923b..0683e1101627b69350917478871cddb6a4ca92fa 100644 --- a/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/18.2 Building an Emotion Detector with LittleVGG.ipynb +++ b/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/18.2 Building an Emotion Detector with LittleVGG.ipynb @@ -1,723 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Using LittleVGG for Emotion Detection" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Training Emotion Detector" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 28709 images belonging to 7 classes.\n", - "Found 3589 images belonging to 7 classes.\n" - ] - } - ], - "source": [ - "from __future__ import print_function\n", - "import tensorflow as tf\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten, BatchNormalization\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "import os\n", - "\n", - "num_classes = 7\n", - "img_rows, img_cols = 48, 48\n", - "batch_size = 16\n", - "\n", - "train_data_dir = './fer2013/train'\n", - "validation_data_dir = './fer2013/validation'\n", - "\n", - "# Let's use some data augmentaiton \n", - "train_datagen = ImageDataGenerator(\n", - " rescale=1./255,\n", - " rotation_range=30,\n", - " shear_range=0.3,\n", - " zoom_range=0.3,\n", - " width_shift_range=0.4,\n", - " height_shift_range=0.4,\n", - " horizontal_flip=True,\n", - " fill_mode='nearest')\n", - " \n", - "validation_datagen = ImageDataGenerator(rescale=1./255)\n", - " \n", - "train_generator = train_datagen.flow_from_directory(\n", - " train_data_dir,\n", - " color_mode = 'grayscale',\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical',\n", - " shuffle=True)\n", - " \n", - "validation_generator = validation_datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " color_mode = 'grayscale',\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical',\n", - " shuffle=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Our Keras Imports" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import BatchNormalization\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", - "from tensorflow.keras.layers import ELU\n", - "from tensorflow.keras.layers import Activation, Flatten, Dropout, Dense" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Keras LittleVGG Model" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential_1\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d_8 (Conv2D) (None, 48, 48, 32) 320 \n", - "_________________________________________________________________\n", - "activation_11 (Activation) (None, 48, 48, 32) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_10 (Batc (None, 48, 48, 32) 128 \n", - "_________________________________________________________________\n", - "conv2d_9 (Conv2D) (None, 48, 48, 32) 9248 \n", - "_________________________________________________________________\n", - "activation_12 (Activation) (None, 48, 48, 32) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_11 (Batc (None, 48, 48, 32) 128 \n", - "_________________________________________________________________\n", - "max_pooling2d_4 (MaxPooling2 (None, 24, 24, 32) 0 \n", - "_________________________________________________________________\n", - "dropout_6 (Dropout) (None, 24, 24, 32) 0 \n", - "_________________________________________________________________\n", - "conv2d_10 (Conv2D) (None, 24, 24, 64) 18496 \n", - "_________________________________________________________________\n", - "activation_13 (Activation) (None, 24, 24, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_12 (Batc (None, 24, 24, 64) 256 \n", - "_________________________________________________________________\n", - "conv2d_11 (Conv2D) (None, 24, 24, 64) 36928 \n", - "_________________________________________________________________\n", - "activation_14 (Activation) (None, 24, 24, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_13 (Batc (None, 24, 24, 64) 256 \n", - "_________________________________________________________________\n", - "max_pooling2d_5 (MaxPooling2 (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "dropout_7 (Dropout) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "conv2d_12 (Conv2D) (None, 12, 12, 128) 73856 \n", - "_________________________________________________________________\n", - "activation_15 (Activation) (None, 12, 12, 128) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_14 (Batc (None, 12, 12, 128) 512 \n", - "_________________________________________________________________\n", - "conv2d_13 (Conv2D) (None, 12, 12, 128) 147584 \n", - "_________________________________________________________________\n", - "activation_16 (Activation) (None, 12, 12, 128) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_15 (Batc (None, 12, 12, 128) 512 \n", - "_________________________________________________________________\n", - "max_pooling2d_6 (MaxPooling2 (None, 6, 6, 128) 0 \n", - "_________________________________________________________________\n", - "dropout_8 (Dropout) (None, 6, 6, 128) 0 \n", - "_________________________________________________________________\n", - "conv2d_14 (Conv2D) (None, 6, 6, 256) 295168 \n", - "_________________________________________________________________\n", - "activation_17 (Activation) (None, 6, 6, 256) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_16 (Batc (None, 6, 6, 256) 1024 \n", - "_________________________________________________________________\n", - "conv2d_15 (Conv2D) (None, 6, 6, 256) 590080 \n", - "_________________________________________________________________\n", - "activation_18 (Activation) (None, 6, 6, 256) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_17 (Batc (None, 6, 6, 256) 1024 \n", - "_________________________________________________________________\n", - "max_pooling2d_7 (MaxPooling2 (None, 3, 3, 256) 0 \n", - "_________________________________________________________________\n", - "dropout_9 (Dropout) (None, 3, 3, 256) 0 \n", - "_________________________________________________________________\n", - "flatten_1 (Flatten) (None, 2304) 0 \n", - "_________________________________________________________________\n", - "dense_3 (Dense) (None, 64) 147520 \n", - "_________________________________________________________________\n", - "activation_19 (Activation) (None, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_18 (Batc (None, 64) 256 \n", - "_________________________________________________________________\n", - "dropout_10 (Dropout) (None, 64) 0 \n", - "_________________________________________________________________\n", - "dense_4 (Dense) (None, 64) 4160 \n", - "_________________________________________________________________\n", - "activation_20 (Activation) (None, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_19 (Batc (None, 64) 256 \n", - "_________________________________________________________________\n", - "dropout_11 (Dropout) (None, 64) 0 \n", - "_________________________________________________________________\n", - "dense_5 (Dense) (None, 7) 455 \n", - "_________________________________________________________________\n", - "activation_21 (Activation) (None, 7) 0 \n", - "=================================================================\n", - "Total params: 1,328,167\n", - "Trainable params: 1,325,991\n", - "Non-trainable params: 2,176\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "model = Sequential()\n", - "\n", - "model.add(Conv2D(32, (3, 3), padding = 'same', kernel_initializer=\"he_normal\",\n", - " input_shape = (img_rows, img_cols, 1)))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(32, (3, 3), padding = \"same\", kernel_initializer=\"he_normal\", \n", - " input_shape = (img_rows, img_cols, 1)))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #2: second CONV => RELU => CONV => RELU => POOL\n", - "# layer set\n", - "model.add(Conv2D(64, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(64, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #3: third CONV => RELU => CONV => RELU => POOL\n", - "# layer set\n", - "model.add(Conv2D(128, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(128, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #4: third CONV => RELU => CONV => RELU => POOL\n", - "# layer set\n", - "model.add(Conv2D(256, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(256, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #5: first set of FC => RELU layers\n", - "model.add(Flatten())\n", - "model.add(Dense(64, kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Dropout(0.5))\n", - "\n", - "# Block #6: second set of FC => RELU layers\n", - "model.add(Dense(64, kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Dropout(0.5))\n", - "\n", - "# Block #7: softmax classifier\n", - "model.add(Dense(num_classes, kernel_initializer=\"he_normal\"))\n", - "model.add(Activation(\"softmax\"))\n", - "\n", - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Training our model" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "Train for 1795 steps\n", - "1795/1795 [==============================] - 607s 338ms/step - loss: 2.0255 - accuracy: 0.2012\n" - ] - } - ], - "source": [ - "from tensorflow.keras.optimizers import RMSprop, SGD, Adam\n", - "from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n", - "\n", - " \n", - "checkpoint = ModelCheckpoint(\"emotion_little_vgg.h5\",\n", - " monitor=\"val_loss\",\n", - " mode=\"min\",\n", - " save_best_only = True,\n", - " verbose=1)\n", - "\n", - "earlystop = EarlyStopping(monitor = 'val_loss', \n", - " min_delta = 0, \n", - " patience = 3,\n", - " verbose = 1,\n", - " restore_best_weights = True)\n", - "\n", - "reduce_lr = ReduceLROnPlateau(monitor = 'val_loss', factor = 0.2, patience = 3, verbose = 1, min_delta = 0.0001)\n", - "\n", - "# we put our call backs into a callback list\n", - "callbacks = [earlystop, checkpoint] #reduce_lr]\n", - "\n", - "# We use a very small learning rate \n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = Adam(lr=0.001),\n", - " metrics = ['accuracy'])\n", - "\n", - "nb_train_samples = 28273\n", - "nb_validation_samples = 3534\n", - "epochs = 5\n", - "\n", - "history = model.fit(\n", - " train_generator,\n", - " epochs = epochs)\n", - " callbacks = callbacks)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 3589 images belonging to 7 classes.\n", - "Confusion Matrix\n", - "[[ 0 0 0 439 0 52 0]\n", - " [ 0 0 0 52 0 3 0]\n", - " [ 0 0 0 486 0 42 0]\n", - " [ 0 0 0 790 0 89 0]\n", - " [ 0 0 0 565 0 61 0]\n", - " [ 0 0 0 496 0 98 0]\n", - " [ 0 0 0 401 0 15 0]]\n", - "Classification Report\n", - " precision recall f1-score support\n", - "\n", - " Angry 0.00 0.00 0.00 491\n", - " Disgust 0.00 0.00 0.00 55\n", - " Fear 0.00 0.00 0.00 528\n", - " Happy 0.24 0.90 0.38 879\n", - " Neutral 0.00 0.00 0.00 626\n", - " Sad 0.27 0.16 0.21 594\n", - " Surprise 0.00 0.00 0.00 416\n", - "\n", - " accuracy 0.25 3589\n", - " macro avg 0.07 0.15 0.08 3589\n", - "weighted avg 0.10 0.25 0.13 3589\n", - "\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\sklearn\\metrics\\classification.py:1437: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n", - " 'precision', 'predicted', average, warn_for)\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import sklearn\n", - "from sklearn.metrics import classification_report, confusion_matrix\n", - "import numpy as np\n", - "\n", - "nb_train_samples = 28273\n", - "nb_validation_samples = 3534\n", - "\n", - "# We need to recreate our validation generator with shuffle = false\n", - "validation_generator = validation_datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " color_mode = 'grayscale',\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical',\n", - " shuffle=False)\n", - "\n", - "class_labels = validation_generator.class_indices\n", - "class_labels = {v: k for k, v in class_labels.items()}\n", - "classes = list(class_labels.values())\n", - "\n", - "#Confution Matrix and Classification Report\n", - "Y_pred = model.predict(validation_generator)\n", - "y_pred = np.argmax(Y_pred, axis=1)\n", - "\n", - "print('Confusion Matrix')\n", - "print(confusion_matrix(validation_generator.classes, y_pred))\n", - "print('Classification Report')\n", - "target_names = list(class_labels.values())\n", - "print(classification_report(validation_generator.classes, y_pred, target_names=target_names))\n", - "\n", - "plt.figure(figsize=(8,8))\n", - "cnf_matrix = confusion_matrix(validation_generator.classes, y_pred)\n", - "\n", - "plt.imshow(cnf_matrix, interpolation='nearest')\n", - "plt.colorbar()\n", - "tick_marks = np.arange(len(classes))\n", - "_ = plt.xticks(tick_marks, classes, rotation=90)\n", - "_ = plt.yticks(tick_marks, classes)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Loading our saved model" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.models import load_model\n", - "\n", - "classifier = load_model('emotion_little_vgg.h5')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Get our class labels" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 3589 images belonging to 7 classes.\n", - "{0: 'Angry', 1: 'Disgust', 2: 'Fear', 3: 'Happy', 4: 'Neutral', 5: 'Sad', 6: 'Surprise'}\n" - ] - } - ], - "source": [ - "validation_generator = validation_datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " color_mode = 'grayscale',\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical',\n", - " shuffle=False)\n", - "\n", - "class_labels = validation_generator.class_indices\n", - "class_labels = {v: k for k, v in class_labels.items()}\n", - "classes = list(class_labels.values())\n", - "print(class_labels)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's test on some of validation images" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.models import load_model\n", - "from tensorflow.keras.optimizers import RMSprop, SGD, Adam\n", - "from tensorflow.keras.preprocessing import image\n", - "import numpy as np\n", - "import os\n", - "import cv2\n", - "import numpy as np\n", - "from os import listdir\n", - "from os.path import isfile, join\n", - "import re\n", - "\n", - "def draw_test(name, pred, im, true_label):\n", - " BLACK = [0,0,0]\n", - " expanded_image = cv2.copyMakeBorder(im, 160, 0, 0, 300 ,cv2.BORDER_CONSTANT,value=BLACK)\n", - " cv2.putText(expanded_image, \"predited - \"+ pred, (20, 60) , cv2.FONT_HERSHEY_SIMPLEX,1, (0,0,255), 2)\n", - " cv2.putText(expanded_image, \"true - \"+ true_label, (20, 120) , cv2.FONT_HERSHEY_SIMPLEX,1, (0,255,0), 2)\n", - " cv2.imshow(name, expanded_image)\n", - "\n", - "\n", - "def getRandomImage(path, img_width, img_height):\n", - " \"\"\"function loads a random images from a random folder in our test path \"\"\"\n", - " folders = list(filter(lambda x: os.path.isdir(os.path.join(path, x)), os.listdir(path)))\n", - " random_directory = np.random.randint(0,len(folders))\n", - " path_class = folders[random_directory]\n", - " file_path = path + path_class\n", - " file_names = [f for f in listdir(file_path) if isfile(join(file_path, f))]\n", - " random_file_index = np.random.randint(0,len(file_names))\n", - " image_name = file_names[random_file_index]\n", - " final_path = file_path + \"/\" + image_name\n", - " return image.load_img(final_path, target_size = (img_width, img_height),grayscale=True), final_path, path_class\n", - "\n", - "# dimensions of our images\n", - "img_width, img_height = 48, 48\n", - "\n", - "# We use a very small learning rate \n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = RMSprop(lr = 0.001),\n", - " metrics = ['accuracy'])\n", - "\n", - "files = []\n", - "predictions = []\n", - "true_labels = []\n", - "\n", - "# predicting images\n", - "for i in range(0, 10):\n", - " path = './fer2013/validation/' \n", - " img, final_path, true_label = getRandomImage(path, img_width, img_height)\n", - " files.append(final_path)\n", - " true_labels.append(true_label)\n", - " x = image.img_to_array(img)\n", - " x = x * 1./255\n", - " x = np.expand_dims(x, axis=0)\n", - " images = np.vstack([x])\n", - " classes = model.predict_classes(images, batch_size = 10)\n", - " predictions.append(classes)\n", - " \n", - "for i in range(0, len(files)):\n", - " image = cv2.imread((files[i]))\n", - " image = cv2.resize(image, None, fx=3, fy=3, interpolation = cv2.INTER_CUBIC)\n", - " draw_test(\"Prediction\", class_labels[predictions[i][0]], image, true_labels[i])\n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Test on a single image" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.models import load_model\n", - "from tensorflow.keras.preprocessing import image\n", - "import numpy as np\n", - "import os\n", - "import cv2\n", - "import numpy as np\n", - "from os import listdir\n", - "from os.path import isfile, join\n", - "from tensorflow.keras.preprocessing.image import img_to_array\n", - "\n", - "face_classifier = cv2.CascadeClassifier('./Haarcascades/haarcascade_frontalface_default.xml')\n", - "\n", - "def face_detector(img):\n", - " # Convert image to grayscale\n", - " gray = cv2.cvtColor(img.copy(),cv2.COLOR_BGR2GRAY)\n", - " faces = face_classifier.detectMultiScale(gray, 1.3, 5)\n", - " if faces is ():\n", - " return (0,0,0,0), np.zeros((48,48), np.uint8), img\n", - " \n", - " allfaces = [] \n", - " rects = []\n", - " for (x,y,w,h) in faces:\n", - " cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)\n", - " roi_gray = gray[y:y+h, x:x+w]\n", - " roi_gray = cv2.resize(roi_gray, (48, 48), interpolation = cv2.INTER_AREA)\n", - " allfaces.append(roi_gray)\n", - " rects.append((x,w,y,h))\n", - " return rects, allfaces, img\n", - "\n", - "img = cv2.imread(\"rajeev.jpg\")\n", - "rects, faces, image = face_detector(img)\n", - "\n", - "i = 0\n", - "for face in faces:\n", - " roi = face.astype(\"float\") / 255.0\n", - " roi = img_to_array(roi)\n", - " roi = np.expand_dims(roi, axis=0)\n", - "\n", - " # make a prediction on the ROI, then lookup the class\n", - " preds = classifier.predict(roi)[0]\n", - " label = class_labels[preds.argmax()] \n", - "\n", - " #Overlay our detected emotion on our pic\n", - " label_position = (rects[i][0] + int((rects[i][1]/2)), abs(rects[i][2] - 10))\n", - " i =+ 1\n", - " cv2.putText(image, label, label_position , cv2.FONT_HERSHEY_SIMPLEX,1, (0,255,0), 2)\n", - " \n", - "cv2.imshow(\"Emotion Detector\", image)\n", - "cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's try this on our webcam\n" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "import cv2\n", - "import numpy as np\n", - "from time import sleep\n", - "from tensorflow.keras.preprocessing.image import img_to_array\n", - "\n", - "face_classifier = cv2.CascadeClassifier('./Haarcascades/haarcascade_frontalface_default.xml')\n", - "\n", - "def face_detector(img):\n", - " # Convert image to grayscale\n", - " gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n", - " faces = face_classifier.detectMultiScale(gray, 1.3, 5)\n", - " if faces is ():\n", - " return (0,0,0,0), np.zeros((48,48), np.uint8), img\n", - " \n", - " for (x,y,w,h) in faces:\n", - " cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)\n", - " roi_gray = gray[y:y+h, x:x+w]\n", - "\n", - " try:\n", - " roi_gray = cv2.resize(roi_gray, (48, 48), interpolation = cv2.INTER_AREA)\n", - " except:\n", - " return (x,w,y,h), np.zeros((48,48), np.uint8), img\n", - " return (x,w,y,h), roi_gray, img\n", - "\n", - "cap = cv2.VideoCapture(0)\n", - "\n", - "while True:\n", - "\n", - " ret, frame = cap.read()\n", - " rect, face, image = face_detector(frame)\n", - " if np.sum([face]) != 0.0:\n", - " roi = face.astype(\"float\") / 255.0\n", - " roi = img_to_array(roi)\n", - " roi = np.expand_dims(roi, axis=0)\n", - "\n", - " # make a prediction on the ROI, then lookup the class\n", - " preds = classifier.predict(roi)[0]\n", - " label = class_labels[preds.argmax()] \n", - " label_position = (rect[0] + int((rect[1]/2)), rect[2] + 25)\n", - " cv2.putText(image, label, label_position , cv2.FONT_HERSHEY_SIMPLEX,2, (0,255,0), 3)\n", - " else:\n", - " cv2.putText(image, \"No Face Found\", (20, 60) , cv2.FONT_HERSHEY_SIMPLEX,2, (0,255,0), 3)\n", - " \n", - " cv2.imshow('All', image)\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - " \n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:9f82a4b31aea8dbfdcd71cadb1d6df5fa1be4dcb41d21aaaaa82d632437fa5bb +size 44387 diff --git a/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/18.3A - Age, Gender Detection.ipynb b/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/18.3A - Age, Gender Detection.ipynb index 1a0ee049e8efcfd8eb9d24034deedb62810159e3..d5b2f7cf35287416b35d6c00ba844c745f458f18 100644 --- a/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/18.3A - Age, Gender Detection.ipynb +++ b/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/18.3A - Age, Gender Detection.ipynb @@ -1,174 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's run our Age and Gender Detector\n", - "\n", - "- Please see https://github.com/yu4u/age-gender-estimation for source code project.\n", - "- In this notebook we re-use the model trained by yu4u" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Downloading data from https://github.com/yu4u/age-gender-estimation/releases/download/v0.5/weights.28-3.73.hdf5\n", - "195854336/195848088 [==============================] - 173s 1us/step\n" - ] - } - ], - "source": [ - "from pathlib import Path\n", - "import cv2\n", - "import dlib\n", - "import sys\n", - "import numpy as np\n", - "import argparse\n", - "from contextlib import contextmanager\n", - "from wide_resnet import WideResNet\n", - "from tensorflow.keras.utils import get_file\n", - "\n", - "# Load our cassade classifier for faces\n", - "face_classifier = cv2.CascadeClassifier('./Haarcascades/haarcascade_frontalface_default.xml')\n", - "\n", - "# Load our pretrained model for Gender and Age Detection\n", - "pretrained_model = \"https://github.com/yu4u/age-gender-estimation/releases/download/v0.5/weights.28-3.73.hdf5\"\n", - "modhash = 'fbe63257a054c1c5466cfd7bf14646d6'\n", - "\n", - "# Face Detection function\n", - "def face_detector(img):\n", - " # Convert image to grayscale for faster detection\n", - " gray = cv2.cvtColor(img.copy(),cv2.COLOR_BGR2GRAY)\n", - " faces = face_classifier.detectMultiScale(gray, 1.3, 5)\n", - " if faces is ():\n", - " return False ,(0,0,0,0), np.zeros((1,48,48,3), np.uint8), img\n", - " \n", - " allfaces = [] \n", - " rects = []\n", - " for (x,y,w,h) in faces:\n", - " cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)\n", - " roi = img[y:y+h, x:x+w]\n", - " roi_groiray = cv2.resize(roi, (64, 64), interpolation = cv2.INTER_AREA)\n", - " allfaces.append(roi)\n", - " rects.append((x,w,y,h))\n", - " return True, rects, allfaces, img\n", - "\n", - "# Define our model parameters\n", - "depth = 16\n", - "k = 8\n", - "weight_file = None\n", - "margin = 0.4\n", - "image_dir = None\n", - "\n", - "# Get our weight file \n", - "if not weight_file:\n", - " weight_file = get_file(\"weights.28-3.73.hdf5\", pretrained_model, cache_subdir=\"pretrained_models\",\n", - " file_hash=modhash, cache_dir=Path(sys.argv[0]).resolve().parent)\n", - "\n", - "# load model and weights\n", - "img_size = 64\n", - "model = WideResNet(img_size, depth=depth, k=k)()\n", - "model.load_weights(weight_file)\n", - "\n", - "# Initialize Webcam\n", - "cap = cv2.VideoCapture(0)\n", - "\n", - "while True:\n", - " ret, frame = cap.read()\n", - " ret, rects, faces, image = face_detector(frame)\n", - " preprocessed_faces = []\n", - " i = 0\n", - " if ret:\n", - " for (i,face) in enumerate(faces):\n", - " face = cv2.resize(face, (64, 64), interpolation = cv2.INTER_AREA)\n", - " preprocessed_faces.append(face)\n", - "\n", - " # make a prediction on the faces detected\n", - " results = model.predict(np.array(preprocessed_faces))\n", - " predicted_genders = results[0]\n", - " ages = np.arange(0, 101).reshape(101, 1)\n", - " predicted_ages = results[1].dot(ages).flatten()\n", - "\n", - " # draw results\n", - " for (i, f) in enumerate(faces):\n", - " label = \"{}, {}\".format(int(predicted_ages[i]),\n", - " \"F\" if predicted_genders[i][0] > 0.5 else \"M\")\n", - "\n", - " #Overlay our detected emotion on our pic\n", - " label_position = (rects[i][0] + int((rects[i][1]/2)), abs(rects[i][2] - 10))\n", - " i =+ 1\n", - " cv2.putText(image, label, label_position , cv2.FONT_HERSHEY_SIMPLEX,1, (0,255,0), 2)\n", - "\n", - " cv2.imshow(\"Emotion Detector\", image)\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - "\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Note if you get the following error, you need to enable your webcam \n", - "\n", - "### Enable your webcam by doing the following:\n", - "" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# Run these lines if your webcam fails to be realesed due to error in code\n", - "cap.release()\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:dbc2fe2b91fac48067abea2d97fc9e34b5fc9aae290774fc24e4612bc83eb43e +size 5569 diff --git a/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/18.3B Age, Gender with Emotion.ipynb b/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/18.3B Age, Gender with Emotion.ipynb index 25a6862ab9fce1d37c2ea0d1c4a387cb7283027a..8c795a0f1ce03f6e856c43df9fb8f35016a75320 100644 --- a/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/18.3B Age, Gender with Emotion.ipynb +++ b/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/18.3B Age, Gender with Emotion.ipynb @@ -1,526 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Age, Gender and Emotion Detection\n", - "\n", - "### Let's load our classfiers" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "from pathlib import Path\n", - "import cv2\n", - "import dlib\n", - "import sys\n", - "import numpy as np\n", - "import argparse\n", - "from contextlib import contextmanager\n", - "from wide_resnet import WideResNet\n", - "from tensorflow.keras.utils import get_file\n", - "from tensorflow.keras.models import load_model\n", - "from tensorflow.keras.preprocessing.image import img_to_array\n", - "\n", - "classifier = load_model('emotion_little_vgg.h5')\n", - "face_classifier = cv2.CascadeClassifier('./Haarcascades/haarcascade_frontalface_default.xml')\n", - "pretrained_model = \"https://github.com/yu4u/age-gender-estimation/releases/download/v0.5/weights.28-3.73.hdf5\"" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Testing our Emotion, Age and Gender Detector - Using Webcam" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "modhash = 'fbe63257a054c1c5466cfd7bf14646d6'\n", - "emotion_classes = {0: 'Angry', 1: 'Fear', 2: 'Happy', 3: 'Neutral', 4: 'Sad', 5: 'Surprise'}\n", - "\n", - "def face_detector(img):\n", - " # Convert image to grayscale for faster detection\n", - " gray = cv2.cvtColor(img.copy(),cv2.COLOR_BGR2GRAY)\n", - " faces = face_classifier.detectMultiScale(gray, 1.3, 5)\n", - " if faces is ():\n", - " return False ,(0,0,0,0), np.zeros((1,48,48,3), np.uint8), img\n", - " \n", - " allfaces = [] \n", - " rects = []\n", - " for (x,y,w,h) in faces:\n", - " cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)\n", - " roi = img[y:y+h, x:x+w]\n", - " allfaces.append(roi)\n", - " rects.append((x,w,y,h))\n", - " return True, rects, allfaces, img\n", - "\n", - "# Define our model parameters\n", - "depth = 16\n", - "k = 8\n", - "weight_file = None\n", - "margin = 0.4\n", - "image_dir = None\n", - "\n", - "# Get our weight file \n", - "if not weight_file:\n", - " weight_file = get_file(\"weights.28-3.73.hdf5\", pretrained_model, cache_subdir=\"pretrained_models\",\n", - " file_hash=modhash, cache_dir=Path(sys.argv[0]).resolve().parent)\n", - "\n", - "# load model and weights\n", - "img_size = 64\n", - "model = WideResNet(img_size, depth=depth, k=k)()\n", - "model.load_weights(weight_file)\n", - "\n", - "# Initialize Webcam\n", - "cap = cv2.VideoCapture(0)\n", - "\n", - "while True:\n", - " ret, frame = cap.read()\n", - " ret, rects, faces, image = face_detector(frame)\n", - " preprocessed_faces_ag = []\n", - " preprocessed_faces_emo = []\n", - " \n", - " if ret:\n", - " for (i,face) in enumerate(faces):\n", - " face_ag = cv2.resize(face, (64, 64), interpolation = cv2.INTER_AREA)\n", - " preprocessed_faces_ag.append(face_ag)\n", - "\n", - " face_gray_emo = cv2.cvtColor(face, cv2.COLOR_BGR2GRAY)\n", - " face_gray_emo = cv2.resize(face_gray_emo, (48, 48), interpolation = cv2.INTER_AREA)\n", - " face_gray_emo = face_gray_emo.astype(\"float\") / 255.0\n", - " face_gray_emo = img_to_array(face_gray_emo)\n", - " face_gray_emo = np.expand_dims(face_gray_emo, axis=0)\n", - " preprocessed_faces_emo.append(face_gray_emo)\n", - " \n", - " # make a prediction for Age and Gender\n", - " results = model.predict(np.array(preprocessed_faces_ag))\n", - " predicted_genders = results[0]\n", - " ages = np.arange(0, 101).reshape(101, 1)\n", - " predicted_ages = results[1].dot(ages).flatten()\n", - "\n", - " # make a prediction for Emotion \n", - " emo_labels = []\n", - " for (i, face) in enumerate(faces):\n", - " preds = classifier.predict(preprocessed_faces_emo[i])[0]\n", - " emo_labels.append(emotion_classes[preds.argmax()])\n", - " \n", - " # draw results, for Age and Gender\n", - " for (i, face) in enumerate(faces):\n", - " label = \"{}, {}, {}\".format(int(predicted_ages[i]),\n", - " \"F\" if predicted_genders[i][0] > 0.6 else \"M\",\n", - " emo_labels[i])\n", - " \n", - " #Overlay our detected emotion on our pic\n", - " for (i, face) in enumerate(faces):\n", - " label_position = (rects[i][0] + int((rects[i][1]/2)), abs(rects[i][2] - 10))\n", - " cv2.putText(image, label, label_position , cv2.FONT_HERSHEY_PLAIN,1, (0,255,0), 2)\n", - "\n", - " cv2.imshow(\"Emotion Detector\", image)\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - "\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Testing our Emotion, Age and Gender Detector - On Images" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "ename": "FileNotFoundError", - "evalue": "[WinError 3] The system cannot find the path specified: './images/'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 42\u001b[0m \u001b[0mmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mload_weights\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mweight_file\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 43\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 44\u001b[1;33m \u001b[0mimage_names\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mf\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mf\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mlistdir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimage_path\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misfile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mjoin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimage_path\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 45\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 46\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mimage_name\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mimage_names\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mFileNotFoundError\u001b[0m: [WinError 3] The system cannot find the path specified: './images/'" - ] - } - ], - "source": [ - "from os import listdir\n", - "from os.path import isfile, join\n", - "import os\n", - "import cv2\n", - "\n", - "# Define Image Path Here\n", - "image_path = \"./images/\"\n", - "\n", - "modhash = 'fbe63257a054c1c5466cfd7bf14646d6'\n", - "emotion_classes = {0: 'Angry', 1: 'Fear', 2: 'Happy', 3: 'Neutral', 4: 'Sad', 5: 'Surprise'}\n", - "\n", - "def face_detector(img):\n", - " # Convert image to grayscale for faster detection\n", - " gray = cv2.cvtColor(img.copy(),cv2.COLOR_BGR2GRAY)\n", - " faces = face_classifier.detectMultiScale(gray, 1.3, 5)\n", - " if faces is ():\n", - " return False ,(0,0,0,0), np.zeros((1,48,48,3), np.uint8), img\n", - " \n", - " allfaces = [] \n", - " rects = []\n", - " for (x,y,w,h) in faces:\n", - " cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)\n", - " roi = img[y:y+h, x:x+w]\n", - " allfaces.append(roi)\n", - " rects.append((x,w,y,h))\n", - " return True, rects, allfaces, img\n", - "\n", - "# Define our model parameters\n", - "depth = 16\n", - "k = 8\n", - "weight_file = None\n", - "margin = 0.4\n", - "image_dir = None\n", - "\n", - "# Get our weight file \n", - "if not weight_file:\n", - " weight_file = get_file(\"weights.28-3.73.hdf5\", pretrained_model, cache_subdir=\"pretrained_models\",\n", - " file_hash=modhash, cache_dir=Path(sys.argv[0]).resolve().parent)\n", - "# load model and weights\n", - "img_size = 64\n", - "model = WideResNet(img_size, depth=depth, k=k)()\n", - "model.load_weights(weight_file)\n", - "\n", - "image_names = [f for f in listdir(image_path) if isfile(join(image_path, f))]\n", - "\n", - "for image_name in image_names:\n", - " frame = cv2.imread(\"./images/\" + image_name)\n", - " ret, rects, faces, image = face_detector(frame)\n", - " preprocessed_faces_ag = []\n", - " preprocessed_faces_emo = []\n", - " \n", - " if ret:\n", - " for (i,face) in enumerate(faces):\n", - " face_ag = cv2.resize(face, (64, 64), interpolation = cv2.INTER_AREA)\n", - " preprocessed_faces_ag.append(face_ag)\n", - "\n", - " face_gray_emo = cv2.cvtColor(face, cv2.COLOR_BGR2GRAY)\n", - " face_gray_emo = cv2.resize(face_gray_emo, (48, 48), interpolation = cv2.INTER_AREA)\n", - " face_gray_emo = face_gray_emo.astype(\"float\") / 255.0\n", - " face_gray_emo = img_to_array(face_gray_emo)\n", - " face_gray_emo = np.expand_dims(face_gray_emo, axis=0)\n", - " preprocessed_faces_emo.append(face_gray_emo)\n", - " \n", - " # make a prediction for Age and Gender\n", - " results = model.predict(np.array(preprocessed_faces_ag))\n", - " predicted_genders = results[0]\n", - " ages = np.arange(0, 101).reshape(101, 1)\n", - " predicted_ages = results[1].dot(ages).flatten()\n", - "\n", - " # make a prediction for Emotion \n", - " emo_labels = []\n", - " for (i, face) in enumerate(faces):\n", - " preds = classifier.predict(preprocessed_faces_emo[i])[0]\n", - " emo_labels.append(emotion_classes[preds.argmax()])\n", - " \n", - " # draw results, for Age and Gender\n", - " for (i, face) in enumerate(faces):\n", - " label = \"{}, {}, {}\".format(int(predicted_ages[i]),\n", - " \"F\" if predicted_genders[i][0] > 0.4 else \"M\",\n", - " emo_labels[i])\n", - " \n", - " #Overlay our detected emotion on our pic\n", - " for (i, face) in enumerate(faces):\n", - " label_position = (rects[i][0] + int((rects[i][1]/2)), abs(rects[i][2] - 10))\n", - " cv2.putText(image, label, label_position , cv2.FONT_HERSHEY_PLAIN,1, (0,255,0), 2)\n", - "\n", - " cv2.imshow(\"Emotion Detector\", image)\n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows() " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Using Dlib's Face Detection" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "from os import listdir\n", - "from os.path import isfile, join\n", - "import os\n", - "import cv2\n", - "\n", - "# Define Image Path Here\n", - "image_path = \"./images/\"\n", - "\n", - "modhash = 'fbe63257a054c1c5466cfd7bf14646d6'\n", - "emotion_classes = {0: 'Angry', 1: 'Fear', 2: 'Happy', 3: 'Neutral', 4: 'Sad', 5: 'Surprise'}\n", - "\n", - "def draw_label(image, point, label, font=cv2.FONT_HERSHEY_SIMPLEX,\n", - " font_scale=0.8, thickness=1):\n", - " size = cv2.getTextSize(label, font, font_scale, thickness)[0]\n", - " x, y = point\n", - " cv2.rectangle(image, (x, y - size[1]), (x + size[0], y), (255, 0, 0), cv2.FILLED)\n", - " cv2.putText(image, label, point, font, font_scale, (255, 255, 255), thickness, lineType=cv2.LINE_AA)\n", - " \n", - "\n", - "# Define our model parameters\n", - "depth = 16\n", - "k = 8\n", - "weight_file = None\n", - "margin = 0.4\n", - "image_dir = None\n", - "\n", - "# Get our weight file \n", - "if not weight_file:\n", - " weight_file = get_file(\"weights.28-3.73.hdf5\", pretrained_model, cache_subdir=\"pretrained_models\",\n", - " file_hash=modhash, cache_dir=Path(sys.argv[0]).resolve().parent)\n", - "# load model and weights\n", - "img_size = 64\n", - "model = WideResNet(img_size, depth=depth, k=k)()\n", - "model.load_weights(weight_file)\n", - "\n", - "detector = dlib.get_frontal_face_detector()\n", - "\n", - "image_names = [f for f in listdir(image_path) if isfile(join(image_path, f))]\n", - "\n", - "for image_name in image_names:\n", - " frame = cv2.imread(\"./images/\" + image_name)\n", - " preprocessed_faces_emo = [] \n", - " \n", - " input_img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n", - " img_h, img_w, _ = np.shape(input_img)\n", - " detected = detector(frame, 1)\n", - " faces = np.empty((len(detected), img_size, img_size, 3))\n", - " \n", - " preprocessed_faces_emo = []\n", - " if len(detected) > 0:\n", - " for i, d in enumerate(detected):\n", - " x1, y1, x2, y2, w, h = d.left(), d.top(), d.right() + 1, d.bottom() + 1, d.width(), d.height()\n", - " xw1 = max(int(x1 - margin * w), 0)\n", - " yw1 = max(int(y1 - margin * h), 0)\n", - " xw2 = min(int(x2 + margin * w), img_w - 1)\n", - " yw2 = min(int(y2 + margin * h), img_h - 1)\n", - " cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 0), 2)\n", - " # cv2.rectangle(img, (xw1, yw1), (xw2, yw2), (255, 0, 0), 2)\n", - " faces[i, :, :, :] = cv2.resize(frame[yw1:yw2 + 1, xw1:xw2 + 1, :], (img_size, img_size))\n", - " face = frame[yw1:yw2 + 1, xw1:xw2 + 1, :]\n", - " face_gray_emo = cv2.cvtColor(face, cv2.COLOR_BGR2GRAY)\n", - " face_gray_emo = cv2.resize(face_gray_emo, (48, 48), interpolation = cv2.INTER_AREA)\n", - " face_gray_emo = face_gray_emo.astype(\"float\") / 255.0\n", - " face_gray_emo = img_to_array(face_gray_emo)\n", - " face_gray_emo = np.expand_dims(face_gray_emo, axis=0)\n", - " preprocessed_faces_emo.append(face_gray_emo)\n", - "\n", - " # make a prediction for Age and Gender\n", - " results = model.predict(np.array(faces))\n", - " predicted_genders = results[0]\n", - " ages = np.arange(0, 101).reshape(101, 1)\n", - " predicted_ages = results[1].dot(ages).flatten()\n", - "\n", - " # make a prediction for Emotion \n", - " emo_labels = []\n", - " for i, d in enumerate(detected):\n", - " preds = classifier.predict(preprocessed_faces_emo[i])[0]\n", - " emo_labels.append(emotion_classes[preds.argmax()])\n", - " \n", - " # draw results\n", - " for i, d in enumerate(detected):\n", - " label = \"{}, {}, {}\".format(int(predicted_ages[i]),\n", - " \"F\" if predicted_genders[i][0] > 0.4 else \"M\", emo_labels[i])\n", - " draw_label(frame, (d.left(), d.top()), label)\n", - "\n", - " cv2.imshow(\"Emotion Detector\", frame)\n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows() " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### And now using dlib's detector with our webcam" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "from os import listdir\n", - "from os.path import isfile, join\n", - "import os\n", - "import cv2\n", - "\n", - "# Define Image Path Here\n", - "image_path = \"./images/\"\n", - "\n", - "modhash = 'fbe63257a054c1c5466cfd7bf14646d6'\n", - "emotion_classes = {0: 'Angry', 1: 'Fear', 2: 'Happy', 3: 'Neutral', 4: 'Sad', 5: 'Surprise'}\n", - "\n", - "def draw_label(image, point, label, font=cv2.FONT_HERSHEY_SIMPLEX,\n", - " font_scale=0.8, thickness=1):\n", - " size = cv2.getTextSize(label, font, font_scale, thickness)[0]\n", - " x, y = point\n", - " cv2.rectangle(image, (x, y - size[1]), (x + size[0], y), (255, 0, 0), cv2.FILLED)\n", - " cv2.putText(image, label, point, font, font_scale, (255, 255, 255), thickness, lineType=cv2.LINE_AA)\n", - " \n", - "\n", - "# Define our model parameters\n", - "depth = 16\n", - "k = 8\n", - "weight_file = None\n", - "margin = 0.4\n", - "image_dir = None\n", - "\n", - "# Get our weight file \n", - "if not weight_file:\n", - " weight_file = get_file(\"weights.28-3.73.hdf5\", pretrained_model, cache_subdir=\"pretrained_models\",\n", - " file_hash=modhash, cache_dir=Path(sys.argv[0]).resolve().parent)\n", - "# load model and weights\n", - "img_size = 64\n", - "model = WideResNet(img_size, depth=depth, k=k)()\n", - "model.load_weights(weight_file)\n", - "\n", - "detector = dlib.get_frontal_face_detector()\n", - "\n", - "# Initialize Webcam\n", - "cap = cv2.VideoCapture(0)\n", - "\n", - "while True:\n", - " ret, frame = cap.read()\n", - " preprocessed_faces_emo = [] \n", - " \n", - " input_img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n", - " img_h, img_w, _ = np.shape(input_img)\n", - " detected = detector(frame, 1)\n", - " faces = np.empty((len(detected), img_size, img_size, 3))\n", - " \n", - " preprocessed_faces_emo = []\n", - " if len(detected) > 0:\n", - " for i, d in enumerate(detected):\n", - " x1, y1, x2, y2, w, h = d.left(), d.top(), d.right() + 1, d.bottom() + 1, d.width(), d.height()\n", - " xw1 = max(int(x1 - margin * w), 0)\n", - " yw1 = max(int(y1 - margin * h), 0)\n", - " xw2 = min(int(x2 + margin * w), img_w - 1)\n", - " yw2 = min(int(y2 + margin * h), img_h - 1)\n", - " cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 0), 2)\n", - " # cv2.rectangle(img, (xw1, yw1), (xw2, yw2), (255, 0, 0), 2)\n", - " faces[i, :, :, :] = cv2.resize(frame[yw1:yw2 + 1, xw1:xw2 + 1, :], (img_size, img_size))\n", - " face = frame[yw1:yw2 + 1, xw1:xw2 + 1, :]\n", - " face_gray_emo = cv2.cvtColor(face, cv2.COLOR_BGR2GRAY)\n", - " face_gray_emo = cv2.resize(face_gray_emo, (48, 48), interpolation = cv2.INTER_AREA)\n", - " face_gray_emo = face_gray_emo.astype(\"float\") / 255.0\n", - " face_gray_emo = img_to_array(face_gray_emo)\n", - " face_gray_emo = np.expand_dims(face_gray_emo, axis=0)\n", - " preprocessed_faces_emo.append(face_gray_emo)\n", - "\n", - " # make a prediction for Age and Gender\n", - " results = model.predict(np.array(faces))\n", - " predicted_genders = results[0]\n", - " ages = np.arange(0, 101).reshape(101, 1)\n", - " predicted_ages = results[1].dot(ages).flatten()\n", - "\n", - " # make a prediction for Emotion \n", - " emo_labels = []\n", - " for i, d in enumerate(detected):\n", - " preds = classifier.predict(preprocessed_faces_emo[i])[0]\n", - " emo_labels.append(emotion_classes[preds.argmax()])\n", - " \n", - " # draw results\n", - " for i, d in enumerate(detected):\n", - " label = \"{}, {}, {}\".format(int(predicted_ages[i]),\n", - " \"F\" if predicted_genders[i][0] > 0.4 else \"M\", emo_labels[i])\n", - " draw_label(frame, (d.left(), d.top()), label)\n", - "\n", - " cv2.imshow(\"Emotion Detector\", frame)\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - "\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:082576a2fac2c474e0313a34d9f68cae3a5b93c7c040fc4ec56d116e5b836733 +size 21733 diff --git a/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/Face Detection - Friends Characters.ipynb b/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/Face Detection - Friends Characters.ipynb index 6df88be01f88928edd00b0d4ecba484eb3a0268d..ec8adcca4e39455083aa3aa272f53490292ed97e 100644 --- a/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/Face Detection - Friends Characters.ipynb +++ b/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/Face Detection - Friends Characters.ipynb @@ -1,526 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Basic Deep Learning Face Recogntion\n", - "## Building a Friends TV Show Character Identifier" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's train our model\n", - "I've created a dataset with the faces of 4 Friends characters taken from a handful of different scenes." - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 2663 images belonging to 4 classes.\n", - "Found 955 images belonging to 4 classes.\n" - ] - } - ], - "source": [ - "from __future__ import print_function\n", - "import keras\n", - "from keras.preprocessing.image import ImageDataGenerator\n", - "from keras.models import Sequential\n", - "from keras.layers import Dense, Dropout, Activation, Flatten, BatchNormalization\n", - "from keras.layers import Conv2D, MaxPooling2D\n", - "from keras.preprocessing.image import ImageDataGenerator\n", - "import os\n", - "\n", - "num_classes = 4\n", - "img_rows, img_cols = 48, 48\n", - "batch_size = 16\n", - "\n", - "train_data_dir = './faces/train'\n", - "validation_data_dir = './faces/validation'\n", - "\n", - "# Let's use some data augmentaiton \n", - "train_datagen = ImageDataGenerator(\n", - " rescale=1./255,\n", - " rotation_range=30,\n", - " shear_range=0.3,\n", - " zoom_range=0.3,\n", - " width_shift_range=0.4,\n", - " height_shift_range=0.4,\n", - " horizontal_flip=True,\n", - " fill_mode='nearest')\n", - " \n", - "validation_datagen = ImageDataGenerator(rescale=1./255)\n", - " \n", - "train_generator = train_datagen.flow_from_directory(\n", - " train_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical',\n", - " shuffle=True)\n", - " \n", - "validation_generator = validation_datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical',\n", - " shuffle=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [], - "source": [ - "#Our Keras imports\n", - "from keras.models import Sequential\n", - "from keras.layers.normalization import BatchNormalization\n", - "from keras.layers.convolutional import Conv2D, MaxPooling2D\n", - "from keras.layers.advanced_activations import ELU\n", - "from keras.layers.core import Activation, Flatten, Dropout, Dense" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Creating a simple VGG based model for Face Recognition" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d_25 (Conv2D) (None, 48, 48, 32) 896 \n", - "_________________________________________________________________\n", - "activation_34 (Activation) (None, 48, 48, 32) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_31 (Batc (None, 48, 48, 32) 128 \n", - "_________________________________________________________________\n", - "conv2d_26 (Conv2D) (None, 48, 48, 32) 9248 \n", - "_________________________________________________________________\n", - "activation_35 (Activation) (None, 48, 48, 32) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_32 (Batc (None, 48, 48, 32) 128 \n", - "_________________________________________________________________\n", - "max_pooling2d_13 (MaxPooling (None, 24, 24, 32) 0 \n", - "_________________________________________________________________\n", - "dropout_19 (Dropout) (None, 24, 24, 32) 0 \n", - "_________________________________________________________________\n", - "conv2d_27 (Conv2D) (None, 24, 24, 64) 18496 \n", - "_________________________________________________________________\n", - "activation_36 (Activation) (None, 24, 24, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_33 (Batc (None, 24, 24, 64) 256 \n", - "_________________________________________________________________\n", - "conv2d_28 (Conv2D) (None, 24, 24, 64) 36928 \n", - "_________________________________________________________________\n", - "activation_37 (Activation) (None, 24, 24, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_34 (Batc (None, 24, 24, 64) 256 \n", - "_________________________________________________________________\n", - "max_pooling2d_14 (MaxPooling (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "dropout_20 (Dropout) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "conv2d_29 (Conv2D) (None, 12, 12, 128) 73856 \n", - "_________________________________________________________________\n", - "activation_38 (Activation) (None, 12, 12, 128) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_35 (Batc (None, 12, 12, 128) 512 \n", - "_________________________________________________________________\n", - "conv2d_30 (Conv2D) (None, 12, 12, 128) 147584 \n", - "_________________________________________________________________\n", - "activation_39 (Activation) (None, 12, 12, 128) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_36 (Batc (None, 12, 12, 128) 512 \n", - "_________________________________________________________________\n", - "max_pooling2d_15 (MaxPooling (None, 6, 6, 128) 0 \n", - "_________________________________________________________________\n", - "dropout_21 (Dropout) (None, 6, 6, 128) 0 \n", - "_________________________________________________________________\n", - "conv2d_31 (Conv2D) (None, 6, 6, 256) 295168 \n", - "_________________________________________________________________\n", - "activation_40 (Activation) (None, 6, 6, 256) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_37 (Batc (None, 6, 6, 256) 1024 \n", - "_________________________________________________________________\n", - "conv2d_32 (Conv2D) (None, 6, 6, 256) 590080 \n", - "_________________________________________________________________\n", - "activation_41 (Activation) (None, 6, 6, 256) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_38 (Batc (None, 6, 6, 256) 1024 \n", - "_________________________________________________________________\n", - "max_pooling2d_16 (MaxPooling (None, 3, 3, 256) 0 \n", - "_________________________________________________________________\n", - "dropout_22 (Dropout) (None, 3, 3, 256) 0 \n", - "_________________________________________________________________\n", - "flatten_4 (Flatten) (None, 2304) 0 \n", - "_________________________________________________________________\n", - "dense_10 (Dense) (None, 64) 147520 \n", - "_________________________________________________________________\n", - "activation_42 (Activation) (None, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_39 (Batc (None, 64) 256 \n", - "_________________________________________________________________\n", - "dropout_23 (Dropout) (None, 64) 0 \n", - "_________________________________________________________________\n", - "dense_11 (Dense) (None, 64) 4160 \n", - "_________________________________________________________________\n", - "activation_43 (Activation) (None, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_40 (Batc (None, 64) 256 \n", - "_________________________________________________________________\n", - "dropout_24 (Dropout) (None, 64) 0 \n", - "_________________________________________________________________\n", - "dense_12 (Dense) (None, 4) 260 \n", - "_________________________________________________________________\n", - "activation_44 (Activation) (None, 4) 0 \n", - "=================================================================\n", - "Total params: 1,328,548\n", - "Trainable params: 1,326,372\n", - "Non-trainable params: 2,176\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "model = Sequential()\n", - "\n", - "model.add(Conv2D(32, (3, 3), padding = 'same', kernel_initializer=\"he_normal\",\n", - " input_shape = (img_rows, img_cols, 3)))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(32, (3, 3), padding = \"same\", kernel_initializer=\"he_normal\", \n", - " input_shape = (img_rows, img_cols, 3)))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #2: second CONV => RELU => CONV => RELU => POOL\n", - "# layer set\n", - "model.add(Conv2D(64, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(64, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #3: third CONV => RELU => CONV => RELU => POOL\n", - "# layer set\n", - "model.add(Conv2D(128, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(128, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #4: third CONV => RELU => CONV => RELU => POOL\n", - "# layer set\n", - "model.add(Conv2D(256, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(256, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #5: first set of FC => RELU layers\n", - "model.add(Flatten())\n", - "model.add(Dense(64, kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Dropout(0.5))\n", - "\n", - "# Block #6: second set of FC => RELU layers\n", - "model.add(Dense(64, kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Dropout(0.5))\n", - "\n", - "# Block #7: softmax classifier\n", - "model.add(Dense(num_classes, kernel_initializer=\"he_normal\"))\n", - "model.add(Activation(\"softmax\"))\n", - "\n", - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Training our Model" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/10\n", - "166/166 [==============================] - 76s 457ms/step - loss: 1.1153 - acc: 0.5700 - val_loss: 1.4428 - val_acc: 0.4841\n", - "\n", - "Epoch 00001: val_loss improved from inf to 1.44279, saving model to /home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5\n", - "Epoch 2/10\n", - "166/166 [==============================] - 67s 403ms/step - loss: 0.7034 - acc: 0.7343 - val_loss: 3.7705 - val_acc: 0.2705\n", - "\n", - "Epoch 00002: val_loss did not improve from 1.44279\n", - "Epoch 3/10\n", - "166/166 [==============================] - 62s 373ms/step - loss: 0.6037 - acc: 0.7690 - val_loss: 0.9403 - val_acc: 0.6912\n", - "\n", - "Epoch 00003: val_loss improved from 1.44279 to 0.94025, saving model to /home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5\n", - "Epoch 4/10\n", - "166/166 [==============================] - 62s 373ms/step - loss: 0.5432 - acc: 0.7988 - val_loss: 1.3018 - val_acc: 0.5548\n", - "\n", - "Epoch 00004: val_loss did not improve from 0.94025\n", - "Epoch 5/10\n", - "166/166 [==============================] - 69s 414ms/step - loss: 0.4715 - acc: 0.8301 - val_loss: 3.8879 - val_acc: 0.1534\n", - "\n", - "Epoch 00005: val_loss did not improve from 0.94025\n", - "Epoch 6/10\n", - "166/166 [==============================] - 77s 467ms/step - loss: 0.4233 - acc: 0.8524 - val_loss: 0.6878 - val_acc: 0.7093\n", - "\n", - "Epoch 00006: val_loss improved from 0.94025 to 0.68784, saving model to /home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5\n", - "Epoch 7/10\n", - "166/166 [==============================] - 71s 429ms/step - loss: 0.4130 - acc: 0.8636 - val_loss: 3.3402 - val_acc: 0.2971\n", - "\n", - "Epoch 00007: val_loss did not improve from 0.68784\n", - "Epoch 8/10\n", - "166/166 [==============================] - 79s 477ms/step - loss: 0.3821 - acc: 0.8748 - val_loss: 2.6729 - val_acc: 0.6283\n", - "\n", - "Epoch 00008: val_loss did not improve from 0.68784\n", - "Epoch 9/10\n", - "166/166 [==============================] - 86s 519ms/step - loss: 0.3622 - acc: 0.8709 - val_loss: 1.5067 - val_acc: 0.5197\n", - "Restoring model weights from the end of the best epoch\n", - "\n", - "Epoch 00009: val_loss did not improve from 0.68784\n", - "\n", - "Epoch 00009: ReduceLROnPlateau reducing learning rate to 0.0019999999552965165.\n", - "Epoch 00009: early stopping\n" - ] - } - ], - "source": [ - "from keras.optimizers import RMSprop, SGD, Adam\n", - "from keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n", - "\n", - " \n", - "checkpoint = ModelCheckpoint(\"/home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5\",\n", - " monitor=\"val_loss\",\n", - " mode=\"min\",\n", - " save_best_only = True,\n", - " verbose=1)\n", - "\n", - "earlystop = EarlyStopping(monitor = 'val_loss', \n", - " min_delta = 0, \n", - " patience = 3,\n", - " verbose = 1,\n", - " restore_best_weights = True)\n", - "\n", - "reduce_lr = ReduceLROnPlateau(monitor = 'val_loss', factor = 0.2, patience = 3, verbose = 1, min_delta = 0.0001)\n", - "\n", - "# we put our call backs into a callback list\n", - "callbacks = [earlystop, checkpoint, reduce_lr]\n", - "\n", - "# We use a very small learning rate \n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = Adam(lr=0.01),\n", - " metrics = ['accuracy'])\n", - "\n", - "nb_train_samples = 2663\n", - "nb_validation_samples = 955\n", - "epochs = 10\n", - "\n", - "history = model.fit_generator(\n", - " train_generator,\n", - " steps_per_epoch = nb_train_samples // batch_size,\n", - " epochs = epochs,\n", - " callbacks = callbacks,\n", - " validation_data = validation_generator,\n", - " validation_steps = nb_validation_samples // batch_size)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Getting our Class Labels" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: 'Chandler', 1: 'Joey', 2: 'Pheobe', 3: 'Rachel'}" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "class_labels = validation_generator.class_indices\n", - "class_labels = {v: k for k, v in class_labels.items()}\n", - "classes = list(class_labels.values())\n", - "class_labels" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Load our model\n", - "from keras.models import load_model\n", - "\n", - "classifier = load_model('/home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Testing our model on some real video" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [], - "source": [ - "from os import listdir\n", - "from os.path import isfile, join\n", - "import os\n", - "import cv2\n", - "import numpy as np\n", - "\n", - "\n", - "face_classes = {0: 'Chandler', 1: 'Joey', 2: 'Pheobe', 3: 'Rachel'}\n", - "\n", - "def draw_label(image, point, label, font=cv2.FONT_HERSHEY_SIMPLEX,\n", - " font_scale=0.8, thickness=1):\n", - " size = cv2.getTextSize(label, font, font_scale, thickness)[0]\n", - " x, y = point\n", - " cv2.rectangle(image, (x, y - size[1]), (x + size[0], y), (255, 0, 0), cv2.FILLED)\n", - " cv2.putText(image, label, point, font, font_scale, (255, 255, 255), thickness, lineType=cv2.LINE_AA)\n", - " \n", - "margin = 0.2\n", - "# load model and weights\n", - "img_size = 64\n", - "\n", - "detector = dlib.get_frontal_face_detector()\n", - "\n", - "cap = cv2.VideoCapture('testfriends.mp4')\n", - "\n", - "while True:\n", - " ret, frame = cap.read()\n", - " frame = cv2.resize(frame, None, fx=0.5, fy=0.5, interpolation = cv2.INTER_LINEAR)\n", - " preprocessed_faces = [] \n", - " \n", - " input_img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n", - " img_h, img_w, _ = np.shape(input_img)\n", - " detected = detector(frame, 1)\n", - " faces = np.empty((len(detected), img_size, img_size, 3))\n", - " \n", - " preprocessed_faces_emo = []\n", - " if len(detected) > 0:\n", - " for i, d in enumerate(detected):\n", - " x1, y1, x2, y2, w, h = d.left(), d.top(), d.right() + 1, d.bottom() + 1, d.width(), d.height()\n", - " xw1 = max(int(x1 - margin * w), 0)\n", - " yw1 = max(int(y1 - margin * h), 0)\n", - " xw2 = min(int(x2 + margin * w), img_w - 1)\n", - " yw2 = min(int(y2 + margin * h), img_h - 1)\n", - " cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 0), 2)\n", - " # cv2.rectangle(img, (xw1, yw1), (xw2, yw2), (255, 0, 0), 2)\n", - " #faces[i, :, :, :] = cv2.resize(frame[yw1:yw2 + 1, xw1:xw2 + 1, :], (img_size, img_size))\n", - " face = frame[yw1:yw2 + 1, xw1:xw2 + 1, :]\n", - " face = cv2.resize(face, (48, 48), interpolation = cv2.INTER_AREA)\n", - " face = face.astype(\"float\") / 255.0\n", - " face = img_to_array(face)\n", - " face = np.expand_dims(face, axis=0)\n", - " preprocessed_faces.append(face)\n", - "\n", - " # make a prediction for Emotion \n", - " face_labels = []\n", - " for i, d in enumerate(detected):\n", - " preds = classifier.predict(preprocessed_faces[i])[0]\n", - " face_labels.append(face_classes[preds.argmax()])\n", - " \n", - " # draw results\n", - " for i, d in enumerate(detected):\n", - " label = \"{}\".format(face_labels[i])\n", - " draw_label(frame, (d.left(), d.top()), label)\n", - "\n", - " cv2.imshow(\"Friend Character Identifier\", frame)\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - "\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.6" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:04d2f477b406967b9799263dd60be2887f2e6b89c802c005d9b0d49cda5fd575 +size 22647 diff --git a/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/Face Extraction from Video.ipynb b/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/Face Extraction from Video.ipynb index 4b98aa30e3d055176c9574e343903af6016a6e49..2c3444d198fe31ba3077dd3798046121b1867930 100644 --- a/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/Face Extraction from Video.ipynb +++ b/18 . Deep Survaliance - Build a Face Detector with Emotion, Age and Gender Recognition/Face Extraction from Video.ipynb @@ -1,93 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Extracting the faces from a video" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from os import listdir\n", - "from os.path import isfile, join\n", - "import os\n", - "import cv2\n", - "import dlib\n", - "import numpy as np\n", - "\n", - "# Define Image Path Here\n", - "image_path = \"./images/\"\n", - "\n", - "def draw_label(image, point, label, font=cv2.FONT_HERSHEY_SIMPLEX,\n", - " font_scale=0.8, thickness=1):\n", - " size = cv2.getTextSize(label, font, font_scale, thickness)[0]\n", - " x, y = point\n", - " cv2.rectangle(image, (x, y - size[1]), (x + size[0], y), (255, 0, 0), cv2.FILLED)\n", - " cv2.putText(image, label, point, font, font_scale, (255, 255, 255), thickness, lineType=cv2.LINE_AA)\n", - " \n", - "detector = dlib.get_frontal_face_detector()\n", - "\n", - "# Initialize Webcam\n", - "cap = cv2.VideoCapture('testfriends.mp4')\n", - "img_size = 64\n", - "margin = 0.2\n", - "frame_count = 0\n", - "\n", - "while True:\n", - " ret, frame = cap.read()\n", - " frame_count += 1\n", - " print(frame_count) \n", - " \n", - " input_img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n", - " img_h, img_w, _ = np.shape(input_img)\n", - " detected = detector(frame, 1)\n", - " faces = []\n", - " \n", - " if len(detected) > 0:\n", - " for i, d in enumerate(detected):\n", - " x1, y1, x2, y2, w, h = d.left(), d.top(), d.right() + 1, d.bottom() + 1, d.width(), d.height()\n", - " xw1 = max(int(x1 - margin * w), 0)\n", - " yw1 = max(int(y1 - margin * h), 0)\n", - " xw2 = min(int(x2 + margin * w), img_w - 1)\n", - " yw2 = min(int(y2 + margin * h), img_h - 1)\n", - " face = frame[yw1:yw2 + 1, xw1:xw2 + 1, :]\n", - " file_name = \"./faces/\"+str(frame_count)+\"_\"+str(i)+\".jpg\"\n", - " cv2.imwrite(file_name, face)\n", - " cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 0), 2)\n", - "\n", - " cv2.imshow(\"Face Detector\", frame)\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - "\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.6" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:c0913e972eb5a6523ab5fb3ff200aabf26e2a6dcd08c4a7f6683fd868ef956bb +size 2867 diff --git a/19. Medical Imaging Segmentation using U-Net/U-Net (not compatible with TensorFlow 2.0, required to downgrade).ipynb b/19. Medical Imaging Segmentation using U-Net/U-Net (not compatible with TensorFlow 2.0, required to downgrade).ipynb index dce73199417efbb7e15822292e8cbbc90b200386..25cb0999aa604f64d6c5511b547ab0c4ddd286f4 100644 --- a/19. Medical Imaging Segmentation using U-Net/U-Net (not compatible with TensorFlow 2.0, required to downgrade).ipynb +++ b/19. Medical Imaging Segmentation using U-Net/U-Net (not compatible with TensorFlow 2.0, required to downgrade).ipynb @@ -1,808 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# NOTE: DOWNGRADE TO TENSORFLOW 1.14 and KERAS Keras 2.3.0\n", - "\n", - "Create a new environment using Python 3.6 or 3.7\n", - "- pip install opencv-python\n", - "- pip install tensorflow==1.14\n", - "- pip install keras==2.3.0\n", - "\n", - "### U-Net Nuclei masks EDA\n", - "#### Part of Kaggle's 2018 Data Sciene Bowl\n", - "- https://www.kaggle.com/c/data-science-bowl-2018" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Spot Nuclei. Speed Cures.\n", - "\n", - "Imagine speeding up research for almost every disease, from lung cancer and heart disease to rare disorders. The 2018 Data Science Bowl offers our most ambitious mission yet: create an algorithm to automate nucleus detection.\n", - "\n", - "We’ve all seen people suffer from diseases like cancer, heart disease, chronic obstructive pulmonary disease, Alzheimer’s, and diabetes. Many have seen their loved ones pass away. Think how many lives would be transformed if cures came faster.\n", - "\n", - "By automating nucleus detection, you could help unlock cures faster—from rare disorders to the common cold. Want a snapshot about the 2018 Data Science Bowl? [View this video.](https://www.youtube.com/watch?v=eHwkfhmJexs&feature=youtu.be)\n", - "\n", - "- Alot of the work in this notework was provided by Kjetil Åmdal-SævikKeras who made the \"U-Net starter - LB 0.277\" the top rated Kernel on Kaggle.\n", - "- https://www.kaggle.com/keegil/keras-u-net-starter-lb-0-277" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import sys\n", - "import random\n", - "import warnings #\n", - "import numpy as np\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "from tqdm import tqdm\n", - "from itertools import chain\n", - "from skimage.io import imread, imshow, imread_collection, concatenate_images\n", - "from skimage.transform import resize\n", - "from skimage.morphology import label\n", - "from tensorflow.keras.models import Model, load_model\n", - "from tensorflow.keras.layers import Input\n", - "from tensorflow.keras.layers import Dropout, Lambda\n", - "from tensorflow.keras.layers import Conv2D, Conv2DTranspose\n", - "from tensorflow.keras.layers import MaxPooling2D\n", - "from tensorflow.keras.layers import concatenate\n", - "from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint\n", - "from tensorflow.keras import backend as K\n", - "import tensorflow as tf\n", - "\n", - "IMG_WIDTH = 128\n", - "IMG_HEIGHT = 128\n", - "IMG_CHANNELS = 3\n", - "TRAIN_PATH = './U_NET/train/'\n", - "TEST_PATH = './U_NET/validation/'\n", - "\n", - "warnings.filterwarnings('ignore', category=UserWarning, module='skimage')\n", - "seed = 42\n", - "random.seed = seed\n", - "np.random.seed = seed" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Collect our file names for training and test date" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "train_ids = next(os.walk(TRAIN_PATH))[1]\n", - "test_ids = next(os.walk(TEST_PATH))[1]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Creating our image masks of dimension 128 x 128 (black images)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Getting and resizing training images ... \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|████████████████████████████████████████| 670/670 [05:53<00:00, 1.90it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Getting and resizing test images ... \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████████████████████████████████████| 65/65 [00:01<00:00, 37.59it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Done!\n" - ] - } - ], - "source": [ - "print('Getting and resizing training images ... ')\n", - "X_train = np.zeros((len(train_ids), IMG_HEIGHT, IMG_WIDTH, IMG_CHANNELS), dtype=np.uint8)\n", - "Y_train = np.zeros((len(train_ids), IMG_HEIGHT, IMG_WIDTH, 1), dtype=np.bool)\n", - " \n", - "# Re-sizing our training images to 128 x 128\n", - "# Note sys.stdout prints info that can be cleared unlike print.\n", - "# Using TQDM allows us to create progress bars\n", - "sys.stdout.flush()\n", - "\n", - "for n, id_ in tqdm(enumerate(train_ids), total=len(train_ids)):\n", - " path = TRAIN_PATH + id_\n", - " img = imread(path + '/images/' + id_ + '.png')[:,:,:IMG_CHANNELS]\n", - " img = resize(img, (IMG_HEIGHT, IMG_WIDTH), mode='constant', preserve_range=True)\n", - " X_train[n] = img\n", - " mask = np.zeros((IMG_HEIGHT, IMG_WIDTH, 1), dtype=np.bool)\n", - " \n", - " # Now we take all masks associated with that image and combine them into one single mask\n", - " for mask_file in next(os.walk(path + '/masks/'))[2]:\n", - " mask_ = imread(path + '/masks/' + mask_file)\n", - " mask_ = np.expand_dims(resize(mask_, (IMG_HEIGHT, IMG_WIDTH), mode='constant', \n", - " preserve_range=True), axis=-1)\n", - " mask = np.maximum(mask, mask_)\n", - " # Y_train is now our single mask associated with our image\n", - " Y_train[n] = mask\n", - "\n", - "# Get and resize test images\n", - "X_test = np.zeros((len(test_ids), IMG_HEIGHT, IMG_WIDTH, IMG_CHANNELS), dtype=np.uint8)\n", - "sizes_test = []\n", - "print('Getting and resizing test images ... ')\n", - "sys.stdout.flush()\n", - "\n", - "# Here we resize our test images\n", - "for n, id_ in tqdm(enumerate(test_ids), total=len(test_ids)):\n", - " path = TEST_PATH + id_\n", - " img = imread(path + '/images/' + id_ + '.png')[:,:,:IMG_CHANNELS]\n", - " sizes_test.append([img.shape[0], img.shape[1]])\n", - " img = resize(img, (IMG_HEIGHT, IMG_WIDTH), mode='constant', preserve_range=True)\n", - " X_test[n] = img\n", - "\n", - "print('Done!')" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Illustrate the train images and masks\n", - "plt.figure(figsize=(20,16))\n", - "x, y = 12,4\n", - "for i in range(y): \n", - " for j in range(x):\n", - " plt.subplot(y*2, x, i*2*x+j+1)\n", - " pos = i*120 + j*10\n", - " plt.imshow(X_train[pos])\n", - " plt.title('Image #{}'.format(pos))\n", - " plt.axis('off')\n", - " plt.subplot(y*2, x, (i*2+1)*x+j+1)\n", - " \n", - " #We display the associated mask we just generated above with the training image\n", - " plt.imshow(np.squeeze(Y_train[pos]))\n", - " plt.title('Mask #{}'.format(pos))\n", - " plt.axis('off')\n", - " \n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### We define a custom Metric called Intersection over Union (IoU)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# Define IoU metric\n", - "def mean_iou(y_true, y_pred):\n", - " prec = []\n", - " for t in np.arange(0.5, 1.0, 0.05):\n", - " y_pred_ = tf.to_int32(y_pred > t)\n", - " score, up_opt = tf.metrics.mean_iou(y_true, y_pred_, 2, y_true)\n", - " K.get_session().run(tf.local_variables_initializer())\n", - " with tf.control_dependencies([up_opt]):\n", - " score = tf.identity(score)\n", - " prec.append(score)\n", - " return K.mean(K.stack(prec), axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "# Alternative IoU function\n", - "# https://www.kaggle.com/c/data-science-bowl-2018/discussion/51553\n", - "def iou_coef(y_true, y_pred, smooth=1):\n", - " \"\"\"\n", - " IoU = (|X & Y|)/ (|X or Y|)\n", - " \"\"\"\n", - " intersection = K.sum(K.abs(y_true * y_pred), axis=-1)\n", - " union = K.sum((y_true,-1) + K.sum(y_pred,-1) - intersection)\n", - " return (intersection + smooth) / ( union + smooth)\n", - "\n", - "def iou_coef_loss(y_true, y_pred):\n", - " return -iou_coef(y_true, y_pred)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Another IoU Metric \n", - "- https://www.kaggle.com/aglotero/another-iou-metric" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "def iou_metric(y_true_in, y_pred_in, print_table=False):\n", - " labels = label(y_true_in > 0.5)\n", - " y_pred = label(y_pred_in > 0.5)\n", - " \n", - " true_objects = len(np.unique(labels))\n", - " pred_objects = len(np.unique(y_pred))\n", - "\n", - " intersection = np.histogram2d(labels.flatten(), y_pred.flatten(), bins=(true_objects, pred_objects))[0]\n", - "\n", - " # Compute areas (needed for finding the union between all objects)\n", - " area_true = np.histogram(labels, bins = true_objects)[0]\n", - " area_pred = np.histogram(y_pred, bins = pred_objects)[0]\n", - " area_true = np.expand_dims(area_true, -1)\n", - " area_pred = np.expand_dims(area_pred, 0)\n", - "\n", - " # Compute union\n", - " union = area_true + area_pred - intersection\n", - "\n", - " # Exclude background from the analysis\n", - " intersection = intersection[1:,1:]\n", - " union = union[1:,1:]\n", - " union[union == 0] = 1e-9\n", - "\n", - " # Compute the intersection over union\n", - " iou = intersection / union\n", - "\n", - " # Precision helper function\n", - " def precision_at(threshold, iou):\n", - " matches = iou > threshold\n", - " true_positives = np.sum(matches, axis=1) == 1 # Correct objects\n", - " false_positives = np.sum(matches, axis=0) == 0 # Missed objects\n", - " false_negatives = np.sum(matches, axis=1) == 0 # Extra objects\n", - " tp, fp, fn = np.sum(true_positives), np.sum(false_positives), np.sum(false_negatives)\n", - " return tp, fp, fn\n", - "\n", - " # Loop over IoU thresholds\n", - " prec = []\n", - " if print_table:\n", - " print(\"Thresh\\tTP\\tFP\\tFN\\tPrec.\")\n", - " for t in np.arange(0.5, 1.0, 0.05):\n", - " tp, fp, fn = precision_at(t, iou)\n", - " if (tp + fp + fn) > 0:\n", - " p = tp / (tp + fp + fn)\n", - " else:\n", - " p = 0\n", - " if print_table:\n", - " print(\"{:1.3f}\\t{}\\t{}\\t{}\\t{:1.3f}\".format(t, tp, fp, fn, p))\n", - " prec.append(p)\n", - " \n", - " if print_table:\n", - " print(\"AP\\t-\\t-\\t-\\t{:1.3f}\".format(np.mean(prec)))\n", - " return np.mean(prec)\n", - "\n", - "def iou_metric_batch(y_true_in, y_pred_in):\n", - " batch_size = y_true_in.shape[0]\n", - " metric = []\n", - " for batch in range(batch_size):\n", - " value = iou_metric(y_true_in[batch], y_pred_in[batch])\n", - " metric.append(value)\n", - " return np.array(np.mean(metric), dtype=np.float32)\n", - "\n", - "def my_iou_metric(label, pred):\n", - " metric_value = tf.py_function(iou_metric_batch, [label, pred], tf.float32)\n", - " return metric_value" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Building our U-Net Model" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"model\"\n", - "__________________________________________________________________________________________________\n", - "Layer (type) Output Shape Param # Connected to \n", - "==================================================================================================\n", - "input_1 (InputLayer) [(None, 128, 128, 3) 0 \n", - "__________________________________________________________________________________________________\n", - "lambda (Lambda) (None, 128, 128, 3) 0 input_1[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d (Conv2D) (None, 128, 128, 16) 448 lambda[0][0] \n", - "__________________________________________________________________________________________________\n", - "dropout (Dropout) (None, 128, 128, 16) 0 conv2d[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 128, 128, 16) 2320 dropout[0][0] \n", - "__________________________________________________________________________________________________\n", - "max_pooling2d (MaxPooling2D) (None, 64, 64, 16) 0 conv2d_1[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_2 (Conv2D) (None, 64, 64, 32) 4640 max_pooling2d[0][0] \n", - "__________________________________________________________________________________________________\n", - "dropout_1 (Dropout) (None, 64, 64, 32) 0 conv2d_2[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_3 (Conv2D) (None, 64, 64, 32) 9248 dropout_1[0][0] \n", - "__________________________________________________________________________________________________\n", - "max_pooling2d_1 (MaxPooling2D) (None, 32, 32, 32) 0 conv2d_3[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_4 (Conv2D) (None, 32, 32, 64) 18496 max_pooling2d_1[0][0] \n", - "__________________________________________________________________________________________________\n", - "dropout_2 (Dropout) (None, 32, 32, 64) 0 conv2d_4[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_5 (Conv2D) (None, 32, 32, 64) 36928 dropout_2[0][0] \n", - "__________________________________________________________________________________________________\n", - "max_pooling2d_2 (MaxPooling2D) (None, 16, 16, 64) 0 conv2d_5[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_6 (Conv2D) (None, 16, 16, 128) 73856 max_pooling2d_2[0][0] \n", - "__________________________________________________________________________________________________\n", - "dropout_3 (Dropout) (None, 16, 16, 128) 0 conv2d_6[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_7 (Conv2D) (None, 16, 16, 128) 147584 dropout_3[0][0] \n", - "__________________________________________________________________________________________________\n", - "max_pooling2d_3 (MaxPooling2D) (None, 8, 8, 128) 0 conv2d_7[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_8 (Conv2D) (None, 8, 8, 256) 295168 max_pooling2d_3[0][0] \n", - "__________________________________________________________________________________________________\n", - "dropout_4 (Dropout) (None, 8, 8, 256) 0 conv2d_8[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_9 (Conv2D) (None, 8, 8, 256) 590080 dropout_4[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_transpose (Conv2DTranspo (None, 16, 16, 128) 131200 conv2d_9[0][0] \n", - "__________________________________________________________________________________________________\n", - "concatenate (Concatenate) (None, 16, 16, 256) 0 conv2d_transpose[0][0] \n", - " conv2d_7[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_10 (Conv2D) (None, 16, 16, 128) 295040 concatenate[0][0] \n", - "__________________________________________________________________________________________________\n", - "dropout_5 (Dropout) (None, 16, 16, 128) 0 conv2d_10[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_11 (Conv2D) (None, 16, 16, 128) 147584 dropout_5[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_transpose_1 (Conv2DTrans (None, 32, 32, 64) 32832 conv2d_11[0][0] \n", - "__________________________________________________________________________________________________\n", - "concatenate_1 (Concatenate) (None, 32, 32, 128) 0 conv2d_transpose_1[0][0] \n", - " conv2d_5[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_12 (Conv2D) (None, 32, 32, 64) 73792 concatenate_1[0][0] \n", - "__________________________________________________________________________________________________\n", - "dropout_6 (Dropout) (None, 32, 32, 64) 0 conv2d_12[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_13 (Conv2D) (None, 32, 32, 64) 36928 dropout_6[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_transpose_2 (Conv2DTrans (None, 64, 64, 32) 8224 conv2d_13[0][0] \n", - "__________________________________________________________________________________________________\n", - "concatenate_2 (Concatenate) (None, 64, 64, 64) 0 conv2d_transpose_2[0][0] \n", - " conv2d_3[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_14 (Conv2D) (None, 64, 64, 32) 18464 concatenate_2[0][0] \n", - "__________________________________________________________________________________________________\n", - "dropout_7 (Dropout) (None, 64, 64, 32) 0 conv2d_14[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_15 (Conv2D) (None, 64, 64, 32) 9248 dropout_7[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_transpose_3 (Conv2DTrans (None, 128, 128, 16) 2064 conv2d_15[0][0] \n", - "__________________________________________________________________________________________________\n", - "concatenate_3 (Concatenate) (None, 128, 128, 32) 0 conv2d_transpose_3[0][0] \n", - " conv2d_1[0][0] \n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "__________________________________________________________________________________________________\n", - "conv2d_16 (Conv2D) (None, 128, 128, 16) 4624 concatenate_3[0][0] \n", - "__________________________________________________________________________________________________\n", - "dropout_8 (Dropout) (None, 128, 128, 16) 0 conv2d_16[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_17 (Conv2D) (None, 128, 128, 16) 2320 dropout_8[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_18 (Conv2D) (None, 128, 128, 1) 17 conv2d_17[0][0] \n", - "==================================================================================================\n", - "Total params: 1,941,105\n", - "Trainable params: 1,941,105\n", - "Non-trainable params: 0\n", - "__________________________________________________________________________________________________\n" - ] - } - ], - "source": [ - "# Build U-Net model\n", - "# Note we make our layers varaibles so that we can concatenate or stack\n", - "# This is required so that we can re-create our U-Net Model\n", - "\n", - "inputs = Input((IMG_HEIGHT, IMG_WIDTH, IMG_CHANNELS))\n", - "s = Lambda(lambda x: x / 255) (inputs)\n", - "\n", - "c1 = Conv2D(16, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (s)\n", - "c1 = Dropout(0.1) (c1)\n", - "c1 = Conv2D(16, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c1)\n", - "p1 = MaxPooling2D((2, 2)) (c1)\n", - "\n", - "c2 = Conv2D(32, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (p1)\n", - "c2 = Dropout(0.1) (c2)\n", - "c2 = Conv2D(32, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c2)\n", - "p2 = MaxPooling2D((2, 2)) (c2)\n", - "\n", - "c3 = Conv2D(64, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (p2)\n", - "c3 = Dropout(0.2) (c3)\n", - "c3 = Conv2D(64, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c3)\n", - "p3 = MaxPooling2D((2, 2)) (c3)\n", - "\n", - "c4 = Conv2D(128, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (p3)\n", - "c4 = Dropout(0.2) (c4)\n", - "c4 = Conv2D(128, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c4)\n", - "p4 = MaxPooling2D(pool_size=(2, 2)) (c4)\n", - "\n", - "c5 = Conv2D(256, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (p4)\n", - "c5 = Dropout(0.3) (c5)\n", - "c5 = Conv2D(256, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c5)\n", - "\n", - "u6 = Conv2DTranspose(128, (2, 2), strides=(2, 2), padding='same') (c5)\n", - "u6 = concatenate([u6, c4])\n", - "c6 = Conv2D(128, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (u6)\n", - "c6 = Dropout(0.2) (c6)\n", - "c6 = Conv2D(128, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c6)\n", - "\n", - "u7 = Conv2DTranspose(64, (2, 2), strides=(2, 2), padding='same') (c6)\n", - "u7 = concatenate([u7, c3])\n", - "c7 = Conv2D(64, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (u7)\n", - "c7 = Dropout(0.2) (c7)\n", - "c7 = Conv2D(64, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c7)\n", - "\n", - "u8 = Conv2DTranspose(32, (2, 2), strides=(2, 2), padding='same') (c7)\n", - "u8 = concatenate([u8, c2])\n", - "c8 = Conv2D(32, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (u8)\n", - "c8 = Dropout(0.1) (c8)\n", - "c8 = Conv2D(32, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c8)\n", - "\n", - "u9 = Conv2DTranspose(16, (2, 2), strides=(2, 2), padding='same') (c8)\n", - "u9 = concatenate([u9, c1], axis=3)\n", - "c9 = Conv2D(16, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (u9)\n", - "c9 = Dropout(0.1) (c9)\n", - "c9 = Conv2D(16, (3, 3), activation='elu', kernel_initializer='he_normal', padding='same') (c9)\n", - "\n", - "# Note our output is effectively a mask of 128 x 128 \n", - "outputs = Conv2D(1, (1, 1), activation='sigmoid') (c9)\n", - "\n", - "model = Model(inputs=[inputs], outputs=[outputs])\n", - "model.compile(optimizer='adam', loss='binary_crossentropy', metrics=[my_iou_metric])\n", - "model.summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "### Fit our model" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "ename": "RuntimeError", - "evalue": "Attempting to capture an EagerTensor without building a function.", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mRuntimeError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 18\u001b[0m results = model.fit(X_train, Y_train, validation_split=0.1,\n\u001b[0;32m 19\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m16\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mepochs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 20\u001b[1;33m callbacks=[earlystop, checkpoint])\n\u001b[0m", - "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\tensorflow_core\\python\\keras\\engine\\training.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs)\u001b[0m\n\u001b[0;32m 817\u001b[0m \u001b[0mmax_queue_size\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmax_queue_size\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 818\u001b[0m \u001b[0mworkers\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mworkers\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 819\u001b[1;33m use_multiprocessing=use_multiprocessing)\n\u001b[0m\u001b[0;32m 820\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 821\u001b[0m def evaluate(self,\n", - "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\tensorflow_core\\python\\keras\\engine\\training_arrays.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, model, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, **kwargs)\u001b[0m\n\u001b[0;32m 678\u001b[0m \u001b[0mvalidation_steps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mvalidation_steps\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 679\u001b[0m \u001b[0mvalidation_freq\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mvalidation_freq\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 680\u001b[1;33m steps_name='steps_per_epoch')\n\u001b[0m\u001b[0;32m 681\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 682\u001b[0m def evaluate(self,\n", - "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\tensorflow_core\\python\\keras\\engine\\training_arrays.py\u001b[0m in \u001b[0;36mmodel_iteration\u001b[1;34m(model, inputs, targets, sample_weights, batch_size, epochs, verbose, callbacks, val_inputs, val_targets, val_sample_weights, shuffle, initial_epoch, steps_per_epoch, validation_steps, validation_freq, mode, validation_in_fit, prepared_feed_values_from_dataset, steps_name, **kwargs)\u001b[0m\n\u001b[0;32m 187\u001b[0m \u001b[1;31m# function we recompile the metrics based on the updated\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 188\u001b[0m \u001b[1;31m# sample_weight_mode value.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 189\u001b[1;33m \u001b[0mf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_make_execution_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 190\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 191\u001b[0m \u001b[1;31m# Prepare validation data. Hold references to the iterator and the input list\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\tensorflow_core\\python\\keras\\engine\\training_arrays.py\u001b[0m in \u001b[0;36m_make_execution_function\u001b[1;34m(model, mode)\u001b[0m\n\u001b[0;32m 569\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_distribution_strategy\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 570\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mdistributed_training_utils\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_make_execution_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 571\u001b[1;33m \u001b[1;32mreturn\u001b[0m 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params)\u001b[0m\n\u001b[0;32m 507\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mg\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdtype\u001b[0m \u001b[1;33m!=\u001b[0m \u001b[0mdtypes\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mresource\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 508\u001b[0m ])\n\u001b[1;32m--> 509\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply_gradients\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mgrads_and_vars\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 510\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 511\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_set_hyper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m 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628\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mapply_state\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\tensorflow_core\\python\\keras\\optimizer_v2\\adam.py\u001b[0m in \u001b[0;36m_prepare_local\u001b[1;34m(self, var_device, var_dtype, apply_state)\u001b[0m\n\u001b[0;32m 155\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 156\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_prepare_local\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvar_device\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvar_dtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mapply_state\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 157\u001b[1;33m \u001b[0msuper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mAdam\u001b[0m\u001b[1;33m,\u001b[0m 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var_device, var_dtype, apply_state)\u001b[0m\n\u001b[0;32m 630\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_prepare_local\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvar_device\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvar_dtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mapply_state\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 631\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;34m\"learning_rate\"\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_hyper\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 632\u001b[1;33m \u001b[0mlr_t\u001b[0m \u001b[1;33m=\u001b[0m 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self._dtype)\n\u001b[0m\u001b[0;32m 614\u001b[0m \u001b[0m_maybe_set_handle_data\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_dtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_handle\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 615\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\tensorflow_core\\python\\ops\\gen_resource_variable_ops.py\u001b[0m in \u001b[0;36mread_variable_op\u001b[1;34m(resource, dtype, name)\u001b[0m\n\u001b[0;32m 481\u001b[0m \u001b[0mdtype\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_execute\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmake_type\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m 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**keywords)\u001b[0m\n\u001b[0;32m 466\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 467\u001b[0m \u001b[0mas_ref\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0minput_arg\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mis_ref\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 468\u001b[1;33m preferred_dtype=default_dtype)\n\u001b[0m\u001b[0;32m 469\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 470\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mdtype\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\tensorflow_core\\python\\framework\\ops.py\u001b[0m in \u001b[0;36mconvert_to_tensor\u001b[1;34m(value, dtype, name, as_ref, preferred_dtype, dtype_hint, ctx, accepted_result_types)\u001b[0m\n\u001b[0;32m 1278\u001b[0m \u001b[0mgraph\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mget_default_graph\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1279\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mgraph\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbuilding_function\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1280\u001b[1;33m raise RuntimeError(\"Attempting to capture an EagerTensor without \"\n\u001b[0m\u001b[0;32m 1281\u001b[0m \"building a function.\")\n\u001b[0;32m 1282\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mgraph\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcapture\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mRuntimeError\u001b[0m: Attempting to capture an EagerTensor without building a function." - ] - } - ], - "source": [ - "tf.compat.v1.disable_eager_execution()\n", - "\n", - "# Initialize our callbacks\n", - "model_path = \"nuclei_finder_unet_1.h5\"\n", - "checkpoint = ModelCheckpoint(model_path,\n", - " monitor=\"val_loss\",\n", - " mode=\"min\",\n", - " save_best_only = True,\n", - " verbose=1)\n", - "\n", - "earlystop = EarlyStopping(monitor = 'val_loss', \n", - " min_delta = 0, \n", - " patience = 5,\n", - " verbose = 1,\n", - " restore_best_weights = True)\n", - "\n", - "# Fit our model \n", - "results = model.fit(X_train, Y_train, validation_split=0.1,\n", - " batch_size=16, epochs=10, \n", - " callbacks=[earlystop, checkpoint])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Generating our predictions for training and validation data" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "603/603 [==============================] - 21s 36ms/step\n", - "67/67 [==============================] - 2s 35ms/step\n" - ] - } - ], - "source": [ - "# Predict on training and validation data\n", - "# Note our use of mean_iou metri\n", - "model = load_model('nuclei_finder_unet_2.h5', \n", - " custom_objects={'my_iou_metric': my_iou_metric})\n", - "\n", - "# the first 90% was used for training\n", - "preds_train = model.predict(X_train[:int(X_train.shape[0]*0.9)], verbose=1)\n", - "\n", - "# the last 10% used as validation\n", - "preds_val = model.predict(X_train[int(X_train.shape[0]*0.9):], verbose=1)\n", - "\n", - "#preds_test = model.predict(X_test, verbose=1)\n", - "\n", - "# Threshold predictions\n", - "preds_train_t = (preds_train > 0.5).astype(np.uint8)\n", - "preds_val_t = (preds_val > 0.5).astype(np.uint8)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Showing our predicted masks on our training data" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Ploting our predicted masks\n", - "ix = random.randint(0, 602)\n", - "plt.figure(figsize=(20,20))\n", - "\n", - "# Our original training image\n", - "plt.subplot(131)\n", - "imshow(X_train[ix])\n", - "plt.title(\"Image\")\n", - "\n", - "# Our original combined mask \n", - "plt.subplot(132)\n", - "imshow(np.squeeze(Y_train[ix]))\n", - "plt.title(\"Mask\")\n", - "\n", - "# The mask our U-Net model predicts\n", - "plt.subplot(133)\n", - "imshow(np.squeeze(preds_train_t[ix] > 0.5))\n", - "plt.title(\"Predictions\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Showing our predicted masks on our validation data" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Ploting our predicted masks\n", - "ix = random.randint(602, 668)\n", - "plt.figure(figsize=(20,20))\n", - "\n", - "# Our original training image\n", - "plt.subplot(121)\n", - "imshow(X_train[ix])\n", - "plt.title(\"Image\")\n", - "\n", - "# The mask our U-Net model predicts\n", - "plt.subplot(122)\n", - "ix = ix - 603\n", - "imshow(np.squeeze(preds_val_t[ix] > 0.5))\n", - "plt.title(\"Predictions\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Generating a Classification Report" - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Thresh\tTP\tFP\tFN\tPrec.\n", - "0.500\t9\t0\t1\t0.900\n", - "0.550\t9\t0\t1\t0.900\n", - "0.600\t9\t0\t1\t0.900\n", - "0.650\t9\t0\t1\t0.900\n", - "0.700\t8\t1\t2\t0.727\n", - "0.750\t8\t1\t2\t0.727\n", - "0.800\t8\t1\t2\t0.727\n", - "0.850\t6\t3\t4\t0.462\n", - "0.900\t4\t5\t6\t0.267\n", - "0.950\t2\t7\t8\t0.118\n", - "AP\t-\t-\t-\t0.663\n" - ] - }, - { - "data": { - "text/plain": [ - "0.6627670368846839" - ] - }, - "execution_count": 103, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "iou_metric(np.squeeze(Y_train[ix]), np.squeeze(preds_train_t[ix]), print_table=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:4ca4263e1523b936c3955a632bca9dc151f234638b70e01198da9e66f331aee0 +size 608357 diff --git a/21. TensforFlow Object Detection/object_detection_tutorial.ipynb b/21. TensforFlow Object Detection/object_detection_tutorial.ipynb index 3e4a4b6d62a1c57cf8f92cede11381ba116c356e..04d9eea40b4f8be6991deb047bc5dd10fc98d20f 100644 --- a/21. TensforFlow Object Detection/object_detection_tutorial.ipynb +++ b/21. TensforFlow Object Detection/object_detection_tutorial.ipynb @@ -1,630 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "V8-yl-s-WKMG" - }, - "source": [ - "# Object Detection Demo\n", - "Welcome to the object detection inference walkthrough! This notebook will walk you step by step through the process of using a pre-trained model to detect objects in an image. Make sure to follow the [installation instructions](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md) before you start." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "kFSqkTCdWKMI" - }, - "source": [ - "# Imports" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "colab": { - "autoexec": { - "startup": false, - "wait_interval": 0 - } - }, - "colab_type": "code", - "id": "hV4P5gyTWKMI" - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "import os\n", - "import six.moves.urllib as urllib\n", - "import sys\n", - "import tarfile\n", - "import tensorflow as tf\n", - "import zipfile\n", - "\n", - "from distutils.version import StrictVersion\n", - "from collections import defaultdict\n", - "from io import StringIO\n", - "from matplotlib import pyplot as plt\n", - "from PIL import Image\n", - "\n", - "# This is needed since the notebook is stored in the object_detection folder.\n", - "sys.path.append(\"..\")\n", - "from object_detection.utils import ops as utils_ops\n", - "\n", - "if StrictVersion(tf.__version__) < StrictVersion('1.9.0'):\n", - " raise ImportError('Please upgrade your TensorFlow installation to v1.9.* or later!')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "Wy72mWwAWKMK" - }, - "source": [ - "## Env setup" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "colab": { - "autoexec": { - "startup": false, - "wait_interval": 0 - } - }, - "colab_type": "code", - "id": "v7m_NY_aWKMK" - }, - "outputs": [], - "source": [ - "# This is needed to display the images.\n", - "%matplotlib inline" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "r5FNuiRPWKMN" - }, - "source": [ - "## Object detection imports\n", - "Here are the imports from the object detection module." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "colab": { - "autoexec": { - "startup": false, - "wait_interval": 0 - } - }, - "colab_type": "code", - "id": "bm0_uNRnWKMN" - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/deeplearningcv/models/models/research/object_detection/utils/visualization_utils.py:27: UserWarning: matplotlib.pyplot as already been imported, this call will have no effect.\n", - " import matplotlib; matplotlib.use('Agg') # pylint: disable=multiple-statements\n" - ] - } - ], - "source": [ - "from utils import label_map_util\n", - "\n", - "from utils import visualization_utils as vis_util" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "cfn_tRFOWKMO" - }, - "source": [ - "# Model preparation " - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "X_sEBLpVWKMQ" - }, - "source": [ - "## Variables\n", - "\n", - "Any model exported using the `export_inference_graph.py` tool can be loaded here simply by changing `PATH_TO_FROZEN_GRAPH` to point to a new .pb file. \n", - "\n", - "By default we use an \"SSD with Mobilenet\" model here. See the [detection model zoo](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md) for a list of other models that can be run out-of-the-box with varying speeds and accuracies." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "colab": { - "autoexec": { - "startup": false, - "wait_interval": 0 - } - }, - "colab_type": "code", - "id": "VyPz_t8WWKMQ" - }, - "outputs": [], - "source": [ - "# What model to download.\n", - "MODEL_NAME = 'ssd_mobilenet_v1_coco_2017_11_17'\n", - "MODEL_FILE = MODEL_NAME + '.tar.gz'\n", - "DOWNLOAD_BASE = 'http://download.tensorflow.org/models/object_detection/'\n", - "\n", - "# Path to frozen detection graph. This is the actual model that is used for the object detection.\n", - "PATH_TO_FROZEN_GRAPH = MODEL_NAME + '/frozen_inference_graph.pb'\n", - "\n", - "# List of the strings that is used to add correct label for each box.\n", - "PATH_TO_LABELS = os.path.join('data', 'mscoco_label_map.pbtxt')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "7ai8pLZZWKMS" - }, - "source": [ - "## Download Model" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "colab": { - "autoexec": { - "startup": false, - "wait_interval": 0 - } - }, - "colab_type": "code", - "id": "KILYnwR5WKMS" - }, - "outputs": [], - "source": [ - "opener = urllib.request.URLopener()\n", - "opener.retrieve(DOWNLOAD_BASE + MODEL_FILE, MODEL_FILE)\n", - "tar_file = tarfile.open(MODEL_FILE)\n", - "for file in tar_file.getmembers():\n", - " file_name = os.path.basename(file.name)\n", - " if 'frozen_inference_graph.pb' in file_name:\n", - " tar_file.extract(file, os.getcwd())" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "YBcB9QHLWKMU" - }, - "source": [ - "## Load a (frozen) Tensorflow model into memory." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "colab": { - "autoexec": { - "startup": false, - "wait_interval": 0 - } - }, - "colab_type": "code", - "id": "KezjCRVvWKMV" - }, - "outputs": [], - "source": [ - "detection_graph = tf.Graph()\n", - "with detection_graph.as_default():\n", - " od_graph_def = tf.GraphDef()\n", - " with tf.gfile.GFile(PATH_TO_FROZEN_GRAPH, 'rb') as fid:\n", - " serialized_graph = fid.read()\n", - " od_graph_def.ParseFromString(serialized_graph)\n", - " tf.import_graph_def(od_graph_def, name='')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "_1MVVTcLWKMW" - }, - "source": [ - "## Loading label map\n", - "Label maps map indices to category names, so that when our convolution network predicts `5`, we know that this corresponds to `airplane`. Here we use internal utility functions, but anything that returns a dictionary mapping integers to appropriate string labels would be fine" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "colab": { - "autoexec": { - "startup": false, - "wait_interval": 0 - } - }, - "colab_type": "code", - "id": "hDbpHkiWWKMX" - }, - "outputs": [], - "source": [ - "category_index = label_map_util.create_category_index_from_labelmap(PATH_TO_LABELS, use_display_name=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "EFsoUHvbWKMZ" - }, - "source": [ - "## Helper code" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "colab": { - "autoexec": { - "startup": false, - "wait_interval": 0 - } - }, - "colab_type": "code", - "id": "aSlYc3JkWKMa" - }, - "outputs": [], - "source": [ - "def load_image_into_numpy_array(image):\n", - " (im_width, im_height) = image.size\n", - " return np.array(image.getdata()).reshape(\n", - " (im_height, im_width, 3)).astype(np.uint8)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "H0_1AGhrWKMc" - }, - "source": [ - "# Detection" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "colab": { - "autoexec": { - "startup": false, - "wait_interval": 0 - } - }, - "colab_type": "code", - "id": "jG-zn5ykWKMd" - }, - "outputs": [], - "source": [ - "# For the sake of simplicity we will use only 2 images:\n", - "# image1.jpg\n", - "# image2.jpg\n", - "# If you want to test the code with your images, just add path to the images to the TEST_IMAGE_PATHS.\n", - "PATH_TO_TEST_IMAGES_DIR = 'test_images'\n", - "TEST_IMAGE_PATHS = [ os.path.join(PATH_TO_TEST_IMAGES_DIR, 'image{}.jpg'.format(i)) for i in range(1, 3) ]\n", - "\n", - "# Size, in inches, of the output images.\n", - "IMAGE_SIZE = (12, 8)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "colab": { - "autoexec": { - "startup": false, - "wait_interval": 0 - } - }, - "colab_type": "code", - "id": "92BHxzcNWKMf" - }, - "outputs": [], - "source": [ - "def run_inference_for_single_image(image, graph):\n", - " with graph.as_default():\n", - " with tf.Session() as sess:\n", - " # Get handles to input and output tensors\n", - " ops = tf.get_default_graph().get_operations()\n", - " all_tensor_names = {output.name for op in ops for output in op.outputs}\n", - " tensor_dict = {}\n", - " for key in [\n", - " 'num_detections', 'detection_boxes', 'detection_scores',\n", - " 'detection_classes', 'detection_masks'\n", - " ]:\n", - " tensor_name = key + ':0'\n", - " if tensor_name in all_tensor_names:\n", - " tensor_dict[key] = tf.get_default_graph().get_tensor_by_name(\n", - " tensor_name)\n", - " if 'detection_masks' in tensor_dict:\n", - " # The following processing is only for single image\n", - " detection_boxes = tf.squeeze(tensor_dict['detection_boxes'], [0])\n", - " detection_masks = tf.squeeze(tensor_dict['detection_masks'], [0])\n", - " # Reframe is required to translate mask from box coordinates to image coordinates and fit the image size.\n", - " real_num_detection = tf.cast(tensor_dict['num_detections'][0], tf.int32)\n", - " detection_boxes = tf.slice(detection_boxes, [0, 0], [real_num_detection, -1])\n", - " detection_masks = tf.slice(detection_masks, [0, 0, 0], [real_num_detection, -1, -1])\n", - " detection_masks_reframed = utils_ops.reframe_box_masks_to_image_masks(\n", - " detection_masks, detection_boxes, image.shape[0], image.shape[1])\n", - " detection_masks_reframed = tf.cast(\n", - " tf.greater(detection_masks_reframed, 0.5), tf.uint8)\n", - " # Follow the convention by adding back the batch dimension\n", - " tensor_dict['detection_masks'] = tf.expand_dims(\n", - " detection_masks_reframed, 0)\n", - " image_tensor = tf.get_default_graph().get_tensor_by_name('image_tensor:0')\n", - "\n", - " # Run inference\n", - " output_dict = sess.run(tensor_dict,\n", - " feed_dict={image_tensor: np.expand_dims(image, 0)})\n", - "\n", - " # all outputs are float32 numpy arrays, so convert types as appropriate\n", - " output_dict['num_detections'] = int(output_dict['num_detections'][0])\n", - " output_dict['detection_classes'] = output_dict[\n", - " 'detection_classes'][0].astype(np.uint8)\n", - " output_dict['detection_boxes'] = output_dict['detection_boxes'][0]\n", - " output_dict['detection_scores'] = output_dict['detection_scores'][0]\n", - " if 'detection_masks' in output_dict:\n", - " output_dict['detection_masks'] = output_dict['detection_masks'][0]\n", - " return output_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "colab": { - "autoexec": { - "startup": false, - "wait_interval": 0 - } - }, - "colab_type": "code", - "id": "3a5wMHN8WKMh" - }, - "outputs": [ - { - "data": { - "image/png": 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nu3+X3xu9ZjxVr+NoqkoIgcoqKURCCBkESio9ZEjkOeBKwyJAiWDFmPfsB/fv8vKDU9Znj5jcrvHe573HNrSTMb7vGY8mPD47Z+U9USxDABXBaEI0YoojtB3y7Cjqro1bh8QU4JZ0Oweu2WRNCafgCsNcYW6sIZNZaEpkUmPueyE7lYXkiDE/V4x5PWSS/Hq9UQ7oqPl+Vl0G9TGiMWGNycybZvY03ZjD2z5X3Uae8nUpeHzwOyY8pewSbcHu+23b7zedINDd9DKFwlVVwhCRJKjmZxriACYzuabsS62zmbxwFclFBunBWOqqhgJoK2NpbYVUFucclXVYa7MjrYqr3Y55VBJWlaaqUMnEmIjgTIRYSAFrd+eTrQRXth9jBGsbxCihSmgMGJSkAXFCLRZPYoiBSRLSeEQIiUo8RpU4BJLxaGUJBtaaUBUGU2GIVDGi/cAmKErEu8DSD1S9cLXaEKNStUoHWCOEqESBQRQJAYcliSFZQzAGI0qXhHUIhCE7F7UTQlKiMQxJGKKwDgNN6FjScXR8ynjWUF8u6FYJ8Z7egLE10Vp6P7A2ifkaNBmG4EkJuhBZ9QNXVcdyrQxqiDiwue9DH/DiAcdsMqVuyuurFV/61X9COxrx3qN3uHXnNh//2PczmUxQFRIV3gpCgNoSi4NkjCGmxLDukMogJcqeopbIedmTyryLmkgh4pJDJWFcZrAzLgk45ziYzQjJ03UdVpTa2bwejGAqh1h2cyPGvCcZYwjDFjBrYfMFEYUQkGHYtfd7tQ8DJH8R+KiIvEYGx/8+8Bf/WRcoysHRMW1dMZ2MmTQ162rJ5bMLmBzStGPmq0fMSodoTAzDwGa1IsbI8eExTgzBD4xGI1568T5Pzp8gmlitF5wcHeI1sdosmcym9H3PfD7HOUczaxARvvHGm5ycnHD/hQfYynH2eEEAFssVQ5+4f/8FiAPWBG7fmqExUdcWUehjYOgjR1UG+O5qjvqBgIAmCD7LF3qPM4IzeVCtETQJ4/EYr3mR3bp9QPIBiQONHXHv9ITp1PH48XsE37NeLBj6wGLpWawDq37geHKHWyJMRzW1iZwcnvKlf/pNsJZ6rLz20U/zd/7nX2D8Hx3zQz/wAywvnjIMHXVdwFrKUhEAMYom8GUy3T5smI6VH3/hRT7WTBl7eOvpOY/e/ArLO/f5+L1XMcHy9nuP2XjDN22P+/q3eXD7iE++cspBA2MXdqyniAU1OaQicQeQtyCuMhZJMbMNUUndgLqe89V7XC4XfOPhE548mfPlb1/SbSLdWcrARWNmCS2MRhWvnx7zmY+ccvtoxsdOb3NrPOFoYpE6oiYSTUWMChEqUzb4JJgINimkxNViwRtvvc3bZ8/40hsPOXu2ZKUHpHrCuKoxxrG8uiT6ASEw2MDp7SPuHM341Mdf4sW7R3ziwSGz2RhxAeMM4HKw6WaYlgKaUpZ7IIaMfjLbBSX8rhYhZTD2vuu/69rScA2Qy31CjGRQlYhRsVY4aBuOJxOuFpeso8XaipgGIAMJI4YUslNVG8E4gwYFTYixhUXI70XJ7Jw1RLJYZhtW9akwWaUPoirWZRmKJLLDhYIotoCGQAlZS5YLiTU5lHsDaIcSHjbG5g0yGVQS4hIiRaalwlDA0HMs603QGCMpBKTK4MUoqBECQjIuM+hkJliswVqLL4FsBVIJ/5vKlM8LmUVJEWccCkTKYaFKPRkxPZgh1iAKbVXnqIbY5+YGXIP258c37sBsZge5njNb0KVpJzu5yaI/99kps/qiSirh6efuE7PTasig0oqgwWNVqSTfwyIZwFqT53ESnLWIRpIVFosr/txP/hnGtfLSy6fUbeS9d55QVyPaiWM0agghcf/Fl/j7X/g/2UTlvWdzglCiFVBpBuRiK0LI+4qrKlQTffBY2LGaO0coZIfQlVCsKxGbm8zXjlXFllCyRTVS1xXGKgbBVYbpqMVai7OWFAJaogkpJVJMO3Y+pZTvkXUGoIoPkSSQELroaY0hxYSxQiI766qxSPqKc6xrxvWYqrJlvPL+EVImDfrgManG1I5YyKPnHcZrB3r3Z52f2RapXwoZtG+iJ/rEoltz2S+52iyYr+Zsuh5JNbV1tK7B2wyiRWS37lLK0dLxeExtM3tsmnw/t2WrybIa71NxKGIBLIoQEXEYmwGQakVVnIHnohzGIeJIoccYobINKUInfb5/AWdaCWnlWU4t48rQ9oZvX56j1nBc5fFfrDcEBh5dvsvsYEw9noK3rNcJi3J7ZGjbMSYKfddx8eic5dAxPhyxSYYQEv3ZiqpVjuoT+gGuNht003OCxdUW07bYJJiQiJtAdAG/6fDRsFlcIQOkbsWsboiTACEiaaDqPGvWrHzP5M5LTFc9t3VDNzdEUyP1iKPDO4zqSC2RIWbn1jFm0gqtvcSp4DdKGCzrTSJ4i+ConMVIhR8MtW2BxEFdc/fohIqKx1dXLDYr3vndrzGfPMS8/YimqpHDI8Ynh5x+3+uMJmMO3F2GZZcdi2FNjELTjhg2HZs+YQw0zYi6ylGDGCOroQMjOXpHIg0DKlDhMEZIxrLZzBERDiZjxs5x5/CQxWLFxLT4GNhsetRHtABd57ITtpXARpfo1it8CAwlrBw07xV1Xe8Y5e/V/shBsqoGEfmrwBcAC/xPqvqVf+Y1ZFa3qqoCmiJVLbQjx8XQY50i7lpHliUKkb7PlP10NKVta7rNOndUXXFbTzg8OKAiSwySGEzxIEQkAyTSdZhbYTFfY4xh1BwgssH3HZq27zWMmxpD8XpNLIAlX++Tsuk9VdGraQj0KYF1OCOIWgYZqOuKyjqGLhHCQNcHmsbQTMeYGJhoQ+wqoh9AE84obV2UsUlZr9d0fWTdJfreI01FEAWxjMdjRpWhmbdYtVy98y6HL93lT//pH+O3fu23+fw//L+JfeSzn/4YwVu6vkgsbrCSKYEtyryUQGwGUfdOjjHGcP/8FoMzXDx9yrPLc146PGVWjZmODliGwLILPLpYoqrcP5ggM6gnUli1ZjtH2Opd3w8USZoPr6QQYpYxGM/louPZfMW7T694crZmvrQkL2BC1p+qIMkxboTD6Yh7JwfcO55w+2DMrcmIWeOwklnD4JRIKAzhNRiJPodqdEj4FHl2fsabD9/i7WdXPLmETTdC2gqRSOp7VBKh2xA00jSW4wZeun3MvVsHvHrnFvcOxlS1QU3W9VlpSTEiJhaB43XIc8uE7Y43NVn/GLcAJ5XXzHMH+3djkLe2jRZcHzaFrS5avpQCiqGxjknTMnIVnd+GYfMmZA1YMfjg0RhJVdGzqZKSPg+oyqHsjEELm2i2LJkqogYVKRrUvPbV5ddSLKBXIJndfnLjT9lph1UKU13W702wa0z5AGMQ8UAiB9N5jkHYOm4heLBux05vNYwmY/Vr9aYqWuamAmJNBsUx7djnbVutk8LyFc2kaAbLorBjHKGqKuqmKUxZAa6lv/6wsd2tGZ4HRh/U/F+37ebz35w/uzVHWZOyzacAUIL3GHXXvwdMzH2UxyH3j1VBqzwnTMpjL1FIzjAe58jT8uqcV166y6K7pHINKcHhyYxNt+b09D5XlwsW6w3eOJKpSCFgrKGSnF+AusykxZiZ/JsOD+DsNlKWQWtdVfnZSsQi5x4IkUgszkoo4JtyvhgjZP2qxVlAUnbgyz3i4Ekh5mcuSsl0ow3Pzd2U111K2YlyrmZIkcoIiYTFFNAupFh0l1rmqx2oG5PPRsm/NyL4uGBT8mZEJLc/PS+zyeNrno8ikUkRVd0p31LIzNvgB/q+53JxxcX8iovFFavNhm6IqLHFQVJslc9YGwNVk4mWGCO1q2hHIyrnqJoacdv5XPafrWLZyvVZXnKRgmZnUjWvVpVdj0JZ58ZYjAFn8vhZ66hNTRIlVBYjlqqqELmO5HQaCSiiyny9Yhk8aeQ4aAybIKyGnouLC8QkYspRNWdbKmOp60DbjBGfo13e1vhlh5cEqaFSgyVRt5YRFpOgpSJJwKrFiiGFhI2GsVaQPCNrsTHnH1mTn39kLa01DEBrDDQ1BwFiq9RVw9DUNJMps/kY20y4dXzArDlCU810bHESuD1WfBSerXsYLHcOK44nMDLHjAfLe5crJrXQuI66dtTtmIqGy4slt09abh8dcufwGDxcLgaSg9nplOOjA+63Y8R73nr3CWdPnvJkueDg+Iju1R4TlWY0pkoeHwxqhOgjYrLOeocrYmQYBlar7FAZYnHU8lwP6rGVZnKmzGlVxZClHaOmzjhMDLF2hLBdp2a3zrd7WyYihaQRDR5VzVGRsj5TSmw2mz90b93ah6JJVtVfBH7xe76gAKJmMs4Mq22YzWbcTsL60SWLxZIhBDCGZjyC5On7BKYCFaYHBxyMR4R2hBIZH8y4dzLDNTV932OcZTKbcrlcMMQEzpGMYI1hvhmoXMobrzHMNwtWmzWhtoSQAVRdOxIeUzum03HW8trMvEQM3XKNwXB2dYa1DlcZFosFiazVSSmQUsz6tmrGZHaAsCDNL7k4X6G65JXXR0yalqPplNVyTfADXbfGBc8U4djW9IPn4nLNxnveu1ySxHB7dMLRuGVx9ZRXv+9TPDg+4fitDe+Ojvjbf+tv81/+t/81P/W5n2K+vOC/+ut/g4f/YMFX3voG//Jnvp+P3D7N0g71WYDfjIndMk82F1FNiBqcVri7La+dzPCi3Hn7MQ0V33j6hN/45pe5dfc+92f3Oe4N76173rmEZVKq9l1ePDnis/du4ypLL4oxMDYNpEQIGUxLcV4SEUKF1oGr9TmEyLBY8XDxhC+/+TaP5xt+760VV0vPxUqxVQ0uIUlJUZkdjXnt5VPutSN+5KX7vHZ6i/G45XAkGCek1hFtCXn7HMZLKYd9jEKiQePA2fkfcL6Z86tf/yZf/MoFfaeEzZiqneGtEiN0Q0c3rIm1QIT7pzNevXWLH3rtNR4cHfDK6QHjSU1V59C/EcPQDRkGuW2ij0HVkNRgxJVQfAkr58lV2KRQGBQhpazbvY6yb+UI/jsurazXNIjWmQcUS3JDZpH6gI0B6RP1xDCyjkpzpGbp5zSVwVlLRZUPVjEkK/Qh951YISSfD4LK4KwhlniatTW+70Hy4RUVkiYaSUSUQCRJ5l9NUiKJgZQP4UBObokRJANri+AEgskh/swex8y+tg7v406qoQpqhgyI1O0YaxGQlHZ/z/rHgShCFfJrRnJMXYzBR59D7OSkYEkRKzkSBOC1qH8lUl4qiVg5UrTVXZMUJ4bkFOcTM9twsemRccusdbzy4gtISlR11uepCFYCqvkAyTcxYDM7qaYwtpqBVdwOtik09jYHYAuKUFLIIcftD5KlEX7LrDuDJBiGAZdATY8YIYYsKWi8kAzIpsdczgnLJYaIM4ZRVRGSMsTseq7CwLipsa7N64uBKio//OlPc/XobQ5aw+rqnLNNT0XCdwtG7V0uLwdsO+Hhu4/Y1JZnFwsEx6iqidFjxODVAAFJq+xIJSUN+cCc2gaVASnreggeRKiMyZELKlQs2MxqGldhYsQCyXiCBqzNshhrXdH+K4pDk0IZHx8SPnmCJPrWElEIipFq50BUVU0IIYeB5Zrd3jpqq8WK+sCBQCIUiZeWPAkKSI+09STn24wqNCbmXvFRsU3F04tzrG2wUpO84CRLYIKmrIXXSEW9kzbYkmQVNOXEtpBQEZbDCu89Z4+esVxtePf8gm+/84iLq0usm2JclXXTacA1NY1WxLrOOQiS56GrwGGYurqcH9BVCY0J02cWz46zULUyJXnd5T6JKZEE/BARV+WkQQ1gslxPRHdMutUIKcubRBN25DEkxiNL1dS0I4tYh08GOVDu4qi9cCYB2ymXmzUEoR4f4a3Q+VAimjnBzTjP7AQaW3E4PsDVU8JyQ6XKvXt36RYXmLWwsYkgAy/eOuZo4pFJw7x2CJGKloOJY1SPSeNTHi6XuPUllda8eGvEsVienQ3cunOCrSMvMmJ8eEBiynB5xe1RxeREOJ48oDm6w3tqmI4rLqdj6jTiky+/zvTwDm89OwezYuoco25B24yZy5JH8yWvvPiAKR0HTYV3M95bJ9L5Fa1fU7WR+3dv4QZLWCvHBxV3j0c8GDeoGXEAZwJvAAAgAElEQVTVrRnO1qirGY+m3J5MaBU2bsxbz57y+V/4PEMMnIwPmR6N+dgnPsXt03vcfeUBD165z2Tc0ncB62Y01QFDH1n7REqOGJWuW2M15NywUBGAepJom5rWrRmS4kSJyRNCAom0o4bNZoMkYTrK+SebIaIhkCpD0uzIS0rUYhkfTPO+Vs7QIJssCSmyjD92kPzPbQJ9v8H7BucmSKaekBSJ0eeFlgPOSMoVBFJKRM3hYpGcoVmJEOLAqK2pNS8qY0wGysYQfWA8yXpicRapcpUG0URd5wS+TRhoknK5WOBjYDJuGY8aGpeZWmMMzggxZHCV9DpxxntPjAnnCjNUfrcNnVkxGHLFAyYNq6uBINnLtdYybkeEmJP+rMlsVB88Gksli1Q8/pDy5LGQwtYrMmy6gePbt7BN5PjY8cu/8vP8xpd+k0/9xCk//JmfpHGnLC8dX/ntM1Zn3+Djf/ElNqs1dZUrZ/S+3+nTPvgTEIWjgxkv3Eu8e7ngvNvw9NEZF2fPuDu7i1YVTkxO6BoSy6VnUXcs1j2jiWU0HuXQLz4nwqgjETNzWDzLKB58RHvPMAw8u5pztuw4u9xwNt+wWnuGPmWmMELyOaxT15ZR0/LCbMbpZMrp4QEHbU1TWVQCqegMNSkaEtbUOXRfNHSqytBtCH7Ds8tLnsznvHe2oPdCTBapahTDplvRxQHfDwyDp64N49bx8r27vHTrFneODziaTLBbD7cUyrgmcfM8Eexu3ogYjIApmt/t6+UvO30ohRG8yRpu7f3h8Z2lDERVI9uyDSq5VsGWYTQClXFUbYPY3A5btJgpJWKBYTkcnau23GxD9vpLNYzSjqQ+H/QlFJ+1xBmsqlBCbpkRjmjWLG8TlkoCYCIfwlJ0owJISEipJqMmv55Sjiyx7WeKBOcG436zrbyv/2zRBl9rp80HtJymMONGBGJ+hi3zvwXnW4AkIohzO+1xVptsWe7MJlqbnfTxpGXUVNdtJYBut+WbcyFmQChZGyoUeUrZF+P143yAgd7eF4o2D+C58coM+faOAUsK2VHb5qHH6CmxM7yr0HpEJHflTuahWf9ry5gNw4DZjr3CwXSK045x07LZbHCuBT8wnU4ZhoHxZMT5+Tnz+ZzVakPXdagaYgg4t40C5lZej6kWjbruonpRr+UKxYu5Xg5yI3dfE64k3Lnk0FxYI49D2laxcLt5WZnrNTsEn1nsmCsQGJFS5aPcZ8u2G0Pl8njutNLG0LS2AHAwmhkx/S7qKUn5PjFGNGSpgx8GSJ7oMwNbO7tLWN6y2bm91xp42fZXyuOtpRJQHDz90LPqB9bDwLrr6f2Qz5uYsBIxVm84obpj8ZzLSbbO5XWTtahCQLOzlXKkAQUbFKxi3HXVi936VEVjESOlLMuIRTZkbZa/bN+fdagVrjD7Cjud6XU0yWBFd/k/qoqPgUqgrapcgSkp1hgUC5JBMkmpxdI6sNbgXM7FQHOlDOcMFsemJBWGEOi6HnVrNsESYkflAlZyslrXdQz9Zjfu+Ig0FVEMhIghQpNKngm7rHMTMwlHIUxMZWjritRkaVoIuW9C1zEYYUSkGdXMjmasVIiDp0sdIwemFeqmwThL3YxwdqAfPMOQwBoCicFHNpueaIqTJeCDZz10dKMRzrqsF7eGejzBKowPbxE18vWvf4uvvfkWrzx9haPjKbUo42aCEFitL3GuYtxYQkjEGNBoCGIgJkIMJONwKrmKSsxSjK1kKRXp1nbcc9J7qRYWACOE7f4WE6jsqqpYa3d6/sZSFAQZJLs/Zk3yP7cljRzdmjKd1PSbBUcHxySNoIHQd4gaGlflAzFE/t5P/3vPXf9r/yI3ff1fvL0/d/7reNEs4dBEbz0h5fDruu+JCVIShpg3Ux9ydnv0YGRDOvCMWkcKK9x0RPQB73va5piRabkKHSlk/elyvQLgYr0iJuhjZNMFglfaasTUjJk0LdXpXb761a/yr/zYj/Ppn/gkX/n1L/Kf/dDPcPsARvGC11675L/5G/8uX/ilf0rYVLzz6Fv8d//9/8grr7zCn/3JH2PUOvz8EnGZpYqxAHxNxK1uTjynt6acnhzhVwtuzSaMG8ubT874+re/xvGdU165+wJvPXzE0lqOqxEmdfweFxwdRV6pGmobcbZDUKJpAcEWZtCHIbPJV3NWzy4473q+9NZbfPtpx5tvLZhvIstVZv2l6IaNwGw85iMvnHJ69w5/5oVbHI1bXrgzo2oSpopYl5PFDNcHoIjBhgzU+jjQDT2r+RkXizn/5Hfe4OHZkm9eBNbrmso12KYlxMh8vcRHj00wbQ2feuVF7h5N+cGPfYR705Z7x0eMGgviCYSs2ZMCsmQrE6h20gcRbhz+z4MtyPrS7dFrrCnhyO9k3xkka0ap5MOnsIghw95YThBPYqqJW6fHmG+/S7IJwaJDIkXQcvDEEPNGqc8nBInkDS4hOKsgiZA6XNUUkK1YzSxcH3I5v2Ty525LXImUMGy6fpJgM6NmEKwqdogI+bDaslgRMHHrkCqYXOlA5FoasN1gt5Usboaet2bLpmkQiAnVRFUSXLdlG1NtSs27rcOSR8JaV0KE7DbnmxIANaDGFDDh8CEwaiqQxOsv3ef01jEa+wxKjGDMtgJHyfzWG2XPMt2dHYiiD9YC/Io/tHPcb5rZRhpSTn5JSdBkQPvC9ub25khehR+6PHZSykRuFsyDxRqY+w1r8XglVw4pIXKRAAq1czgsIomqbjAEDqdjTo9mTNVxMB5xdfYUUsu0aTk+mrHp17zw8gv8o3/8Gzy+uODZ2YLOByajKRu/RrXegd4clYuYOnfHFgQmDUhqSunNLKVShUDWAaM5kiAmpxk2RJxYhAoRh6ol4gtIc2AMzo5wJpf8bJom64D9QLcZyphAKT1DjGGXY7GdM845fJE81TaPY+VsKY+ZhaQpWTQoYq/lL7scDWcwNldiCt7TdWu8j9gkqIfu6oo4HlHbCUPyhBAIejP8nFCT9fg7t2IDGgKhGxhC4unlOevNhrcvzlmvO7718F0u5gv6EGlsT9PAuCpgPUVUA1Vlsa6mdibrsm3Ia6dIiSQlavLelqrsnCQNpACuaT44P6Pghx5NkZBizieopKxhCKKkELJeXhVT5WgBkZJkmc17jyRLjJltTjZiUsTlAjrMNokDYBQj835D381ZDIZZqIjBkDYbhnhF01hCFcBmkk2Mx7SJO9M74CsWZ3NSXOaIcZfou0uuNh5bd1QjWGmLGRuaxlBZh4RcIWM0qXFNy9AKo67nIILJGQ9oiTxYBBeyk0FMRBdxjdA2wrCGoAPBrxi6DTNjcKRcCaltMbUjmQ0pJda+Z2JbprMR9199kZVx6PwZi82Cp4sNlZlw7gPdEozrcW2L1I7Hm56zrmfeexZBSD4nbJ6tOp5tei76SOeVjR24f3Kf2cEBw2bN//vLX+JXvvBLHB61/NS/+lO8+vrrfOIzn8KnRFwUpyIZrGvB1fghUdUW4xzRNgwqDN5jNRFIrLuBMTnCEEtSXpYt5f38cFKVnJfyExJRoU9KjB4RpS4ERG2ass8ZsBU0ow/Mwe9mfzJAcgnz+bqiRkk+YESxhgKGIsbYXbjoj9tiqRGZUsJVrhzEQtU0bHwOEUjRjyGCrWp8THT9BtdENv1AZQHrqF1LcgNdv2G9XnLr9C6bdU80lhCUbiibsS3aHkwulZIMIg4Ri+/XHN094b3LJ/zqr/wy/+Z/8le4Mz3mD772v3N4WLF6+NtM7jW8/uodTo4r0uERxyczzt59zDcevsfJ77/Bj332B8E6kmS97DYLVbZ/LwAgRU9tDfdvn0Dd8mx+yRACv/nwnGfymFeOHzAdTQkhcXGxwglcTBvSuudWN3DQOqIVSCGH0ndMYcKmxJAGhnXH04s5T9cdD59e8PhcWXSJwedyXjmhSrGaGI0abh+MePHWEQ9uHXF8NGbSVGgjeJewRkn+gwDSWFcYLiWkyGboeff8nLOrKx6eLXmy6Il6QFVXGHEM3jOEHu89qtBUFSeThpfvHHH/aMrdWcvxuKKtoXLlUC46RDWZad1qfFPcal+f1xV/56ld2F/N5bT0u37/z3cGyXbHRkJuVa73nFlkRWWbRAjT8YS2rTHLHJnY9dVWx+8HfAzUrnpeB1rYWVXdPZOqouYauBnIzGShXk0ByEEUZ0xm/0JESVTGYcyNz94+oSq2MIpJ2NXWte9jpbblA2+yyO9nlJ9re3lGKxnI5rC73endttdHUyq1FIZ1C6w1bTWk+T8jjpCG59tOYdVcBgui4BQOJuPiMHuSRKSqMmCN2xrWia1u3mgqKs0iwdBST7wA5207bxCnu2eOW5qxSDcy81+qG5TEq4TiU8T1K4L3RE30oc9jTmTVk6U4iznDZgVSFactzw8jhmRilqMkobYus8oI92/fxYaB6aRBY8TVLav1muPZETHGUrJNWKxXrLqeqFsHrzz3lpktY2at3UlGMjmen3MYBrBmp/NPmssnpvIey7aGdtrtaVuNMjd0jc+dMylHAbd6xpjSzkHZ5lC8f13e1Mgruf69c7boqLPmUhKIcySfHRu5cV8ls7WNyzksmcNPu6G1tkJTYBiGXIIteoImgqad1AdjdqTHLgKVMmObUsL7yOA93aan6zyr9cBy07HadPReiTH3XdRr9s4W9bXBIDbva4gptdWBEvWdugY1OeLSa3aufUky3ToQN51VHyPB5+iwj6HcQ8qz3qiIVPIPNHoMQtNm8mx7jlyvdcAaKmPynEmJsRXqtmHqLCNrmbQN696C5GhkVVlMdNR91hNXNrPjKSWcFZrGMm4nEFvsosP4lthtWA8DnV+z3HjGk0ByIFWDFc1jXb6fYBt18VHxMZc7TZLwMVf18CkRoxDU4AvpoICPIZeRjJFNv6aPiWZU4WPibH7FqDIwcYxDzDPc1sy7BRICzdAhfkBNBdbiY45CewzqHNJM2KSOq02i8hukiVx1nqs+Ml8PqPU4s8KmDEAXvWfwyuATy87z5Ol5rhaGMh0fIKHj8mzBL33+HzE7/CI/dXnJax95ldfuvowqzFc9IfRYcjJdW01xJRctqkLUMtdh8BHnEt0wYHYRBykOcNkDtlENsp5cY9jN9ZQCMW4JKosWIuWmfvl7sT8RINlay5NnV0QPd1+9T+NGrPpnVJKnSew9GBjfHTGbTK4v/NmfzX/+zb/5/78R3+2zfvZn82s3fr9cLjmYTWjrhtVqhXMOEJw1VLElrrLH0w8DtbG0dcsmBXpjkahcdaBpINlDDInpbIJDmC8XrG8fUzeWYYjECOuhw3vPYrNm03vW/YBPCdQi0lKNDRJWTGrPT/7IZ/jqb/wO//G//uP8W//Ov433T/nf/u7P8+f/7L/BL/7D/4vP//IbLDqQ8ZS79x7wH/61v8znPvc5/t7f/V/4P770O3zqo68yNb5MoG3x7+3fBbU52aUn8tIrDzjadIQwcHpyTKDirbMzvvp7v87HXv+XcHbCo8fvsOzX0BpOvDJxNZtxgzuZ5eL4hX1THYjB063nrPuBbz15wpfe/Dbna8/DRxsu5gN+MCWBLX+5ytgaxtMRr798h5fvHPEDJ8ecHkx4cHiIcYJIxPcBsTmClVQZBBSDWMcwLKmTQIg8W17x+PKcL/7eNzlbrnj73JNkRJumSBPp/MDV/ALvc9kvA7xyepvTw4bvf3CLu0dT7h+PGY8UNT0e0JJpPvhMBFaVwZWkklzNIYPGbZKXMUJMHwSFzpUwVzmEU0lweb99N+fRlMNLtzWqRZBo0ZQwkjBaakuK5dbBhHsnh7z9eAlBqeo6h3lDKqAxl5/b3u9m2SljfcEpFfmLayB3QRFKqaJRqDRmAtZmnSgp4TThSgUJVUOlmpNikmS9cqnJp06wJXEHLYl1CZLpd0BEk8tsF9ds2k3wTAHW2UkpzoluAU8O81ljcpWMmL9Mpi6JYLHK1LWGxPYrJnJv3EhQSbnyDnpdKzdplgTYpCUqYwm+o7UjHty7xcnhGEPMm/oOcOfDIgOt7V20JKoVYBgVtM7MdSnuT0oZnNyQHKSUkLB1FnKyc0w5oUVDruvbp4CPgVXfISaxXgd6r2wGCEnp1xvOe0f0G1hd8Oi8x6dSvkpz3mOebzlT3YeIcRWh7/j4n3qdT7z6Ki6uaIxhvV4zhEhd5+Sl9WbJ4ckpX/6t3+dqueLpxSWpMLl+6Eqt5mvwY4zgnCNwLcO5/r2UslP5yyCy4ldLkbrcp6q5uksiS6iipJxMa3KUw1rJDBc5jDuqGlxdY50jbNb4mCs6iObEWjQniW7nmjFmF01IKctPUoo5aTUGUhKaZkwfeqw12PxtFERM+XKVXBLOOUvdOJrK4oRSnzuTR7iaqJ6z5ZxmOaaOHV3sESmlFIu8wtoxqUQmos/t7osGeT3v6Lzn3fPL/GVCTy9Y9wOhFxrT5C/vcg3O1btSW9ZaJJpcjlHZAdlKsrM6No6prXmhnuGCMpB4TMdSPYs4ZMavyCW3/RNCYN1HFn1PSrDpe5SI0xXGGOrGUddul1BZVVWuZqQwmY7y9yZMRrv2pUKmDU6YNA1VZam7gQezA+woUTeR2gpLB7ORY9xEKtuR0honMbP8RrCSa/xvuojxniQds/YA6yzBNgiRsEmEPtInpV9HGpNLwFH3pGHDxeYZV8vN/8femwXbkqX3Xb81ZeYezj7DvbfuvVV1q6qH6la1JNt0a4iQkSwTYYUNthzhhgBCEdgP5gUIR/CgF1544oUnMdg8AA8GAYqwwbJkGxkkC2QHlpEQanV0t9RzV9dwxzPsKTPXyMO3cp9T1VXdLcJAOegVsePcu88+e+fOXJn5rf/3Hxj7AR0SuxKxIaGS4TKNDGXPUZ6RmgVXMXG+C/gUuMx7zJGiCYptSuyGxHroudzuuUyZI2W42GcIiU0KeK1pomY3KLbrwuNhz7h9xoc6gzqF3VAYU8Y0M/y4YY/h5OiEtPM8Wg88XQ98XQ+YRUcOilEtWAfNxfnI01219osZnzyNmePq+T74DbuNCF5dEV2PLplxmOMT/Md/9RfIWvGjn/xBXnjhBf65T/4Ax0cz5gtHTJ5TPceaTE6enBLJj6jWQs7sBgmLC2Fk7lwVehqapqOUwjpuKVoxXy5oXYN2Wjz8k3RMJRBGhNM+XQvYtRLnpe92fCCKZICu6/Des9lsaE1mtTii15lu7rjod4BhjIV+TO//Ju8udG8WuN9NIX3ztd/mbx4/Pedqs+P07JgyJJxpSH5k0Tj0vGNj5Qa5mi2Fy6Tg6GjBqBRgscYRSiI1Br/JLNuO1bxjHHseXVxwNHOMYyCkyOCTXDi2ke1uZLvXrPee2eyIo+WSQSfutzOW2vDJj3+EH/++VxmNZ/PoG3zxS1/m8Tf2/NAP/wT//E/9ND/zTz7L//EHX+Jv/C//mMdvnfNf/dxf5UP3XuHf+Cv/Pp//zG/wi3/9v+DP/rEPM2x3HNkZYwj0NuOdYTYIom2MRZVCCiPNbMUnXn2Z556eM+57bhvNb37tIZ/9/c9ycvseL967Q9hvefTmOVeLgdXZc1zsEkN/zv3TE+ZOMY49Oe+BzPrykq9dvc2XX7/kM19dczkEtilzlJy0nbJQWayB4+Mld0+P+cE7p5zNGu6frph3HX3coSM1HSgzhEDJhiEXtgbQhd3uCc5acr9hN+754sML3ni25nNv77BmgVUvCrrJY7Ybz37fQ2qwWuE6y2w+54U7z/Py3TNOVkfM54aSt2z9ghxC5XqKoDA64ejllIR7iGJoFKZIG1XlgkoKhSbg0ar6RWYlnQJbC25VMCRSDHVRBpXcy8QZn5AiqEUsiqTkZh0PEXcKpwxZKeKYcNoSfEYT6OycZbfEZpgpBcoSifhScEpJ2mJKqDQtpERUAdOPKkBEgXM0Pgl3T2WsNhhV6Ky0w1MskmClLVoZQZCp70kmk2lMW9u7ImjK2VOYbNikU1MKNG6iJlC5zfZgDzbti1CPi7UGpYvYTikDWR+0cUldc2ybUr2WS6FtOkpR6CGQUcRaNKsslndFFxSahKq+uWKjlsrk7SwFRXaRkjXLbsFuM6DwnLVLOtURQiDrLHNXW3Kq/sHqOvAjCCcFjCxavQGnIqEEQbC1RpEZKm81x4pgRQnQiDEyjj2oTAij8ClLS4iZq93AECPDmAgp8rRX7EfY7gXFHTYLxnhBKYWZvcVm6xmTzD2rlAjPlKNoy84PFGUwVizUXvv4RylXO+6/cErcPKWMnrSOrOYdafDMj4946/wx33j8Jo8vPDk6bNhhjCyMi3GHfSgmDgojHnMThCjHXmvcomMYBrKCGOQm26Gr00hCKU1CjrGxA8k0GCX8cZMVyVaXC6rPvlZYoLOGmCJOZ7IuxCA6F20mv+ZEybp23SoqHYVHnurifOhFf6F0Qg0BjaYkDnQwSNgaYKIAZyxz1Yo7iBIv3UErfFE0SjOb3+bxecTbLc1tDwOEYWThWlrXYJWmdD3BD5ATrbakGHl2uSHlwHazZ+8DV0MhZE0fMkMC2jk2aZxFun5Kg9Ky6FDitBFyOoS4YGAVO6xSvNDOOLEND8yKXDzRGsJGzhXVZPZhYNBVaJUSISd6PxCHwBg9KWvGMYoXucloLaFFOXggoxqNGgacMTijUDuFsYplu6DThiY1ZBzr8QJV5uQljHaGcTOOVxbSniPdoLJm7Ry7Bu7ePuLe0ZKjoWVIA6MLaBux3RlDUmTn5HhvdozH4iKy6TNZGeZuybI9prNH5LLFp4G31ztChHSc2fodY/Scr8+JPmCWDXdM5NnFY3ZE9j5zb54pp3O2+4HNbsvjfcDmRHjOcp8lXdbEsOHxfstV0jzdGlQL2zjy+lPPZv2Mjz64DbcCV3u4uNzyeNfzxtMr4u17uNGSfcAbONOOR96iVnf48Mc+xlvzDY++Hnl6uWZ485K79085u3+GHz22X+PGyJASXhdmNkBMrMMAZO61c6I2HOuGIUYu+i3taEnMuBg9Z4sVr334IzzbDfzml55w8U/+APM3/x7LzvB9H7/Dg5ee51/9l/8l5mpJoztsaUiDxiexZ3Ntx37UjNHQhydo1aJViwtCO0xZhP9OG9qlBa1IGmzMWGWqB7rw98IgtQM1vMQ112FN32l8MIpkJcEgFg7tmFyfy1kUsrNl906+5rsR3m/3/3cXze83pr99r3HjvSfUKEpPULiaKaGKPXA1D19NiTefNYXWe0pUECOWggoRV63vrLWUIub63kiLJSdEDTp6jLGEasrfuoYUPVdXF3RNx9FzZ8znc/E+to6sMsvlkh/6oR9idXzEb/zGb/BTf+5fxBp46YV7/KWf+df58he+zH/313+B/+w/+jl+4qc/zcsPXuQvfPrP8+Zv/QO6pqErUmi4WYcfB4KWVKZJoZ2VwlKYuYZl17I6WrJc9ygKYRzZ7TaEcEbjOi6ePaP3I0/PLzGnRwxt4cl2w9IKFOjHHSkMnF9c8ORyw9PLDWMQazLnxAIqaUFXjILOaU6P5qwWIqpcLDrZfwiV5WbbLYRIpOCBy/1IKYlh3AKafnvBdrvlrScbHl/1jAMUk9FmpGRFCIkQRrG5rffkxs1YLFa0XYd2ljFneg+FAKMRDnGpll/U9lGBppF5a5VGK1F5l8rxS2KeSs4wpTlMiFRIkPPk1wsxZPHRVpMNW65t9wkprBNvognU/VAm2oyWFmDJEn+atCaMI0prrNO45tqKTHhdlXKTq0vGjbbmNL+lDS1csZKEEmKrgMcqKRykTSvJhtXwTqJhFUw+a7LSv/n+WUS8UHm515erd3B+J6rHDfrEu3++mzpRDi169U7/4Qmlfdd7v4PD8K6hta4Llmp/Zw1JiRhHQlDkvbyX+NychOvazeZo1cixj6JpKIijBEofmus537Q5y6iqxE8UwuSJfINyMsbKM66XyhgjCVko7PqeUiT1LYTASCbEzHof8CHT+8wwRK5GwxA0+1FuKrroQ6KbLGwszgntRhfpiuj6+SFG2tbR73pu3XuOnBJzJyjfLoqDQbMwLOYzihVf3PPLDcOYGIMn5iRUgTr5hG9cj9uN4zKhQTcpNbGmb01orrRlq2gnT3z0fDimN3xibsyj606JeQ/EqSiZ15Op2XTOicNfIerqy62EaqUqH/1ALbshPJy+i1JK3iBXmoGuzjJtgyKTKqdc/JgTRcu9cLcfYL0BLLlPlJQI8yVdIzHKmgZVRLS+zz3JBy52O0rKjEPP4DNhLKSsmNmOUkZSlBAVcjn4yk5etJOAtTobYihirUfEFYULngaFaaA5aknG0MYGGyI+F3yIxMonDpP7h5ccAXIWjW+erOtudEKqt26pXa2sFKkufnS2CD1DHqJnSigiqggthWTFIchI4myOmqIS2hgWbcPMVhcQFCGJ7iEmieP2KeNjxOeAr/TPkCKBUe7lVjF3DbgG70dC0jy73EHuSHR4JXa10XtCyMRQ8KHQp0jvIxvl2Y0RHwqjT+z8iMmZ7eDZ+0Tx8bD4jiEz+Mg4JPoxMIyJ3d6z3uzZ9QOoBdY17HY94xAOtKqY5X7SNA1t29J2He2sozH9QauhraE7mnHr9Ay92bJ1O3FByZGcC91sLp0+2xKTFzeSuSVPCYi6EEsgRk8qkehHGms4PVqw0YmSDKHfMcaBz/zeG3z5q+ekknnxxef5/k98nFvLEx489zL7nSxuY6hOZNlgWRBSAhWgq1a/upNkvs0GgFnXMAXhxCg8LPn+iRjz4bqfcnyvZuz7jg9EkayAxhhUyvT9yNbC/KjDuJaZ6zhZHKFbiSLsh+H//gd9JzT5XbSK9xw/+7Ps/9wfAy3WcqfLE4bNhsFHbh2fkNFs1usb7bZaQKM5ag37NLB++ibL2Zy07jHHS6yD2axlsex446235IQKgmL0o2e32/H02RU+FJQ15FEsvFwxHBnL7dWK5ayjHwc6YxiHgHPiGNNcj1UAACAASURBVPHqqx/h137t13j5+edYuAUu7jjWgZ/61Pex2n+a3/785/n0T/4Iv/yrv8jqY6/w23//IbdPb9HOLDEn5tHg+4LujHjuVjcRXTTaB0zwzLXi7vGCzWbDvZOOrz8aWD95whtqxr3bt7j73D16P/J7n/t9zk6PGF99EcMaN2zRGob9hmHY8/TJI56sPY+ebOmzQZkOkmK0mRDEzWDROhHmnc44WbYsFw1t67js93JyWIilMCZLxAh/yokK+XJ9RYwD++GC9b7n6mLNdjOwTQ6fHQt3H2MTIT9jGPZsN+lQaMy6I5zruHPrLsfHxwSXuYqF1y9HnMm4pkBNCtIUbOXUkj1aa+adomsj1mpm+w1GSStXI+IcpRS64QZXSqN1YgwJyMK7rdxMufmnA1e1FCkAphFLFmQyZ7FKqvytVF0ylMmHgmBSYMe9R9sFs+MjIFOSB/1O/8lcxZzXfrnpwAeWG0yBkKQlnAVVtfpabZxINZZZHSjUNwtbKcQL1pnKM6s+3jgRUhUj9JmcD4WstGCvT88Uy0HYcXPbbRXhxRjINbBBa1DYQ8EyDbEGDIeiUPZVPnDdbjqJHBbuRR2KWa2FFpKKLBpU5UdaKwIesse2lmZ1TNKe3bglB49zgkrmBKa5kTZYj+1kPYcS8V2q3OWbC4ScM7rU+OOc8LmwGyWFzsfAxXZgiIXtKBzHy32Uhbi3lGzJpaG1K0JSpGKwjUMCNkaEAlhojaMdNhjdCEUkeuGbG6GGOCOF2YPbd/jBj30M2/ccdQJ4jFoRYsKtFhgHR7fOeHK54RsPn/Hwome97yVYpSI9Oct1UCmFNtKJmQrNA83ixrGbqCiTo0LJmTjNFWXRSmNcPSd8FJcjJbSZSMFoK3QLq2mMZe40JNEt7MeB7V5u4I1tmbj81PNqsjKMOVOsFheHIvO9ACqVg9XbWMZ6j9BCfdKaVovVIargGkfrhGplRHFMSZnWOaxtJMgHOF8Hnvgdm6eVA641yyHijOyD5Lc0TYNPntFvSWUg9j2mZJoc0VljEXeBkoUbaubXHOtcFxvT+VRKIauErnaNNk9gSWBRFHeSZmkMsRnwM4cn0XcDgwpst4E+FSKRHCJ+GCW9cRwJPhNTkg5Ekf1UzI3zK8lCLIyJYkE5SCUcBNFaBYyOdKbgfWKhYIh7mmzRSaFKQ1YNRfcwm6FCQ38xULThSDcsTENJMEbYJXFOOj6DoBXPxsTVZmQ/7ljd97Q6ch4GduOasHnMc2d3eeX2irEvPL0a2Q+BpYXhKtMwEhqFHwZi6PF7SAuHD45n254hFGLOHAdLX2AoLRfjls3Go65GFscFNwwkH0gRslekaBm9IpaOyz5xNUDQSzwL1j6xCYlYLJoFnT1FsxDQcTFndeuU9biTOgJwyh1416rT3Lp/mx/55Cf5+ltvstv1BLMj9iNNa3n5pY8SNnv6WNgNa7T3RJ0ZSkQ76fDFYaA1mquhZ3P+mLeGSDIOszrhbHVEPnmeogzj6AnDyN/+ldcJ4QscLf4ux0vHn/4TP8a/8JN/krOTE1qlSENh2G5I8xexncY4TR8KJUY61aF1w27YYhpH21n2w56cDMmLuFVXSl2/64k5yTIqg3XvbZn6XuMDUSRDVcvHRC6yHlTGkaPn+GiFsx1PNjugCN8Pvj2K/O7fT+O7QZK/C1rGf/oTP/OH+3J/mPGRP9zLPwv8nW/3ggL8iY/yH74+PVETw9fARz4lD0D93H8vz69+QiwDtvXlG4A78F62ghro6uMMeA34U9e/flgf7x7/6Ntt73cY6/p4/Tu98J/y2NefV/8vfy7fKgT/juO/vPo9Bu/fUSRP9m1yk5PTforIDQF2PjCfFcbiyMaQYsJpKYQ5FOblwF8+iPPKTQROoYwhxYLPSdrTXAd9iIBqQrhL5RVPRe7k4XuTly3x6Nd2HhMd451jEs5eF8XvLHrfXQS/exz8jJls7sR7+CY6yw30b3pPefoaqb75vNbi0akV9SYOxlQ+rALlLNlkegImDeQ40tDUQvud6PahM+LHuu+qgwKqojz5+jWloMOSUmAbM2NMbHyQhXeMXO4jPsI+iAh4iI6YodBIYITqKNrXEqmSvhU41RLVQAzCqTbOHopE+fxSTTgUrTOE0fPaq3+U505WWL/hbHXErt+Si2LwkdM7S/zuAtu1PD5/nU0/cL7dkXTdV7XgT0UKJK0N5caRLXAIP9E3efxKHUShk8C6qCmt7p0dEDmmXC/wtCymtBaE1Ew/XeUJp7oIo9BoK+mMRbj+hWoLSCGrwuQXoqF2jMphnslmXP8U+8KCbh0HZasSq8ZEEauzog+Lw8ZYSSC0Dp81fjRsg2Ux69BFU8bmcL7HMaOHgg8J7wdyGSAMGApHWqyfHbk62BhJJFTqIARNNxaa0/wSb+Tq7KKkOxJDIKLxzrHLgfN+zRANISee7NesfTw4jpAEOZbwJkn7CyGIcEvLcZFz/zro6ea5KsEwwjUPKVGCYjcOLIKkMKagxVJsHMnDINca3TKEnphH5i2gDGPIjDnR2OrprQ0+K7Y+k8bIzmeygf2Y2QyRq31i50G3hlhgFwub3YBdJG7FyGYIXPUjuzFijlsWbk7sI1HVzyiZ0A+M2z3eB4beswsj86M52BlKR5S2JK3Y+wjaobTFKIutNBd5tFIfFY3SDdo0uGaBsS2ZnVxvjGhDdLW2K0ajswSqUTnXmXJNS9O1VWph1nY01mGMIuqE0RnXOJ6/f5+Nu6J79jZDGqEEfE408046P9GBcZTqRGGVJkVPTJl+/xTTzsiNwdiaTGwtrnuN3f4CPz7ijTce8kt/93/j4aMrXv3Ih/iBj3+EZddyerQkmx0+FVJSGHOEtUu8jTRYYkp4L45fpXZ9S8nkpKsBUaYPmVgtexOFTrtvmVvvNz4QRbLRGmuEV6irMb1pWzrtOD1KnB5bLvuvsVgt2O9vIMnvLmhv/v+9qBPfrgB+v9/dfP6fhkDwe+N74//h8dm3PD5PBcL8RktclO7bvVgEKaMJKQoiGQzO9vRbQzJzRnbYbCQqG6AotHY1zWy6cSomGzSNIitFMJB0vSgHJJIasXCKWgqCiS9dcpbtslLYGjsVetXn2DiMsYKiSU+XUmqQSZECPud8CFsRjqgU8xPtKcb4TpoWkzJatr9k8SmfeuYKsMYQU+EaQRckWen3RpKNkcAUY6Z0M4M2gRiBWIslrYhpBrHHOIdpjvG54zNv75jPM6oEnImQNdY0hOJvbGulDdR9mXIkV/5zhnd8t5wzMezIRdH7go+CKmU1E27xGIlJgRbUUNmCTVm0Z8pirSbnDkeAnMgqkpTsD+MMqSSsMxgjtJFSbnhD6yJ0EEaOjzs+/pHnadLAycmKRWN58mxLLJmF6zh1M+LK8LXXH/Lmk6e8/vgxV0OgcXNizvgQapyxZoo9VkpL8VgkgMK+x90rh1jb9eJkMdGNBGWntmKrL31xpFgoJqGaupizBqPAGcWsNXSNoSjLfvSkknGtcLhHMjEXQolYo4XCpIXvPBXqxCi++cXUBZWcF1kBKaKtOtALS9FEXR0slMK1juIMTdsCGaIU8Gr0+DhijYjpRhp2ecZeHRN314ivUgptDZBIYyaNmhx2xLHH6ow1hVlnscpQmsmnuwESzlRHjFwo7p07eeqqRAo5eWIMIqDDEqziC0QokeGq53IIpBLps0QX6yiR0n4c8N6zHwfp7uSEl68oC+XqJT6VMZIAKb8zylJSYUwBZY2I/IaBlEd8SczcjpwMzdxx1p1ggySyrm51bPvM48cZ3SYaa9hFw3aAwSkWq4asNZdx5PFmSxz3PD8WnINhhGFvGPctvV/gVMe+N+z2sBkdizzD0xKNkwTcMPAsZ+7fuo19tmPot8ybY8bcYIc1caNxKWBVxBCx3QLXdOw3wrHNpaCLZzXv0DnhrKV1HVpljIXZosO1liEGoZUUaF1HY2eossXYTB924hpTi8GAF4csrTDOsjw5pl3M6cszgiooI2mWTmX8dk+/35FJ+BSgjCy7Ba+99jGevvmErz/5JttxzW67ITeWT/yRP8Ju7xnfeJOLq0wqa4q2QpUoiu2wh3ZFjgU715QSwCeWxqBPNd1sQUgfo9z+KM/fucX/+ftf4Ff/4d9HD1s6Xfijr30fH/qBF/n+T7zC3bunPH/nPqQtWi3QRmi4T59dMA6ZpmnYD+vDNXFaGI+x1GsBjD5yuf5nLEzkgACViUcaBBK3lhQirpGVVAjhYMj+Hcf3Ctrvjf+fjsfnnlBTt7IWoQm1UJZ4aUHoihIkBq2wWcMYiD6TlBbv2yjcQLFckn9bY4iVgwZcU3WVFJyRQtIKPRUdSUQ7krJXYEKq3gXuyo392olC3rpyfVX1QL7xgTeR06ZxTA4TOQli8E47qOsiWeub9BD17s04jANPlAllfn9O8vSawwJAv9OObvoMzYxMQZcWRUcIjifnicUoLj7OCHeyczAcPldi4ZVSmFw1G6WQijosdPINgl3OBZ9HQDME0TSgLcoIBSNkRUoFgwHl0CqQkOAmVIBcyKlFl8rXrUK0nDO2JmZOtiKyQLnm+k0FVCqZ5XxFDD0NmWU34/LyAgCjLIuuY9jsWN0+4/yb3wSt8THQzhylctunaFqrr4MBjBKbPjn+si0354tQXeyNoli2MSXQ5trp5DAHUOQq0LQ3ugZT8IvQDBQ+VqQzJRSSfBmLzOdYQ0wKCDpXrpHtKcJcK1UtNWV/KqMPHZ7r+UWNxs4YXd1KKh86pYTOufKCEyHHA0qOtijdYNslribEShBDAQzeFDQGVKHRHaitcFVNwWs5A0rdHwFFqt+70RKGMd4Iy5qG7KdUecUyZ1QsYOCySCJmTooBS85VvEohhYAphRQjKVYP+SqQLEWTVGFSRJgbn1lKodK0JQUyJVJJh25NSok+KHxIhBpt3SmLxhDGAVKUjguil4hJYbRCQnssl9srNiuP6kQsH0uuoluHUgajBM01uoFiKVlXWpdGq47Bp0PQVynyb9d0zFfHmF7RB49JDSqN5NwTxz05KQpBaF2u8r1LrgFXYGsnI0URK2ut8d6TcpAgIiMR3FMXaT6fM5vNyCkwDvv6e9ENGGMoVK/32vGYrt+pdrqKrq4u2hzcR+Q8EZF04wyuMdVppMEYJcCFcZzdvoVZD7RPLkhZnG2iArShdTPaoohqTk6G4AW40BmWsxmRS+n65I7GdiyOT2mf3WJ1rDk6TWwuH/OVr73F517/Gn/wxc9x/94RP/qpT/D8vRd4+cOfwhVHO58RI+x3npw0fRgP1w81dT0xdT/I/Nns/5krkjXGWZTNaFvtORLMjhaYtmHve1oNf/un/sL/15v6vfG98YEf/+0f/zEAfvrXf5dS+al6akEpRTbHgs7mjK2846FkWqXReg5qgdIjsXqTWqOlVaxypQPkQ0jK1JZtzQxjpCiwlYtroq/e5iK0UdpUJws4JEshN1XQ5ChUA6sE2QpJ0LrGOnKRm2FT2triTiidxCXEK5SlCkgKVmcGRS2QEhpdPY01SmVylkSwohLiR2ux+VqYmq3GMScVQEuhNFELbLW3Aw6BBsnZKqasYq0YkRA4g7Oi1A4p0pSe3GiCKszaBe3yjEG17LeZkjqMacUCrBfhyVR4glzwazgcpnJXNZaiIGor/snKyEKoluUSd24ARwpi/WaVpWkn675chaUK3bRSpFmLzr20LGsRZ4h0rSaUJAldWYGZ447m+HHE7oPEZCdB9F94cItXX37AuD1nuVwSomI7BrqZ4fjkCIUhR81bF+d8/ivf5GLXE4OhjNA1Cqeql3ple2g0qkhqZCjxMM+boqTAqsmOkxTPKHm91loWZsLXkOICKRo0ilwSrm1q4V8XTCEI5aPtBP3PiVIMSUEyheB7SoayCzhTaHTly2IJRUJvDgUsCrQhq0gp5qAh8OMg8yTJudc6CUpRsepzgGVRtFnRlERRit0oIRtKF5wpEohgC4tO07oFnb1NX7aYKqgrCpIG4zPKJfFDR46fVdd2jTkpYnBo15DzSCQTRUVai/spxs9QDoVVEbtGI6hkSZlUOf9VR0rKmVCCpJn20tbfx4EheFKQskNljcnCa44qopUjVccUbTQxh7pYcRQloTUqapR2KK0piLe+nRb+zZJ9W3A5E3NiUIGFXUJOPH38NrtxR1CWoThiEmtJpVpc01Fah3cKiiZ4BW4OpmWmW0Lc057OyGmLT1NhH7GuUNSe+2cdrdFsEGDB73uev3OPEAvu7i1S9jz85ptc7S751Ic/DElxohO6GC7HNXeLx/TPGNWWPbvq76Nx2rFoO8b1Fb6MGJ3wQ6HQkbWHPNJpzZATrrX47MlFYU0rtJscmS8sbaex2rDcR/qqcVGuIwZDGnqGqxGbDK1NzDvDUPasd2t67xnGQAx7bKfYjldc7jcMOTOkRIkF4ywv3zslnji++uYzdt0WrRXNJmK9R801je5QecCYljFsiBGCXXKZErOhBRRWJVZLhUrPyMnTzk8wixOOT15k3F+wsi1ferThc9/s+eX/+e/hdOLOaebBgwf89J/9M9y5c4cUBxaLBbdWZ6TQ4GM5UFSuNuLMs1iuhL+c3juS673GB6JInlCeGCPN0ZyuqdwiahQh1ISi743vje+N73oU4aNJrZPJqhZXyoi7hJn4jxmX5aaonBVe5sTT5BpJnVqBSk8hCeXAyc1RiBVGq4occUDWSs7CWctQdKnG79evUcpQhPqMLkoCXLQmlkHs3iaqCBLMgJpcLyp6HSPWiNBLa03RCh0DEoEuFABdI3qnvy9FU5BaXZytdPXVlAIyakGzVN1GPcU43+BMH4InipjVU8TduFRWc4GDgFcXcatIGdkXrkE3LUZ3wh1NE89boZS4CbybIlKyr4hapR0ohc5aWtToaWsPx+0mt/swJW7wxwVhqXzaIoELlHwosrmB5JWi0IigSlMkzhkoJRFVweiCc4IyPX/7jLOjOTOT6WYOXzzr9Zq207z8ygMuL9Yslku+8eYbXO32bEaPsRb4Vg7qgc8+BXAcRJ657uH6ukIVr2bxBj/sConKPnDLJyqC0oeFmlBF6rEUixnEPWZyLdF1wVWFeqVIMigKVRRg0MohNozI80r+jqKlh5ILqCShFY2mJI33ElrTdd23uCJNsc8TZzQzeaqbmuLnMLp6ZBuDdQWTjNzQS20ta9DOkYOguXnqbsQC1E6AKQQypnaeUpK9aq1s/yGERt3orlQ+a5LdjaJUFPz6u4s/uCdEzTgMxCgCypKNLLY4NCnAyHmR0defIXuPuvfleE0zRCkwRtDyyXFJBBSgFMko9kZoG7ZrISZ8P+DHSFYDpBNQDuM02muMug4OmvybVQajZbEeYyRy3Vl4B8KN2Ndaa687EUqEmUkVbNOgK3UmG0uzPGGGYXx2Qdd1NOOesNsw7C6JY8L3e1IOVfhdXUwq2q6Uree+0HNk4R7RRh2cZqZ5NLm7OGsxSkCOUclxKqWG6uRCiUmuq5VrjrkOzYkxQhHfeKPlPUIQa8rGdbVQHkgkAgpPYYiZMAZmjaM7XtHMGsb9CMoSi5xySpnDQnLWictTYxsWszlhSPgYMNaRijicd4s5+21isbjFYgFON5ToGeJb/MFX3uKv/ec/z737t/n+117l7t27vHL7DvfvvYjVFpU9JWkymX2/p489i6MlMflvuda83/hAFMlaKV556QHry3NCHIgoHj97ynbo2e17tvsdrnt/BdO/8qt/i3nn2K6fAjA/WmGKOfDkHj58C2stD55/gdt3jgmV05USnF9dkOvFL4TAOAaMduwGQV7Wuy3nlxe8+PJL3FvMOH/2hI+98jJnJyuePnmIm0m84XbX04+eEBLN0YLtdku/H2ga8X8ex8DTZ8/YbHZsdx5nW+7cfZ7bt+YsZg6VIiFmTm/fZ7ff8rWvf52um3G12RFjZrcd2Gy2uLZFKcXJ2RkvPHiJV15+gdzvSdHTqEQYelLjoBhKbshJE2NB3Vnwmc98hl1/xY/+8Mv8qR//FH/53/kZnn3jDW7N7/A3f/5v8OjRI37oj/8Iv/g//EO++PWOZn6EHwvL7og3+2fknOmaFmOMeK76LWlY4/sr3n74Otv9jqBhPj9hPl+xOj5GG8SI3xiJ4oVD5G0/1OjbHCn1wtkX8EPC1SCAtlUc2Zarx2+jSmC73TL4zGpxjGtb7ty/y6w7Yr64gzGWHosm0q/POX/yJt6P7LZvkcaANS2umaHbJbtR3ELGkFhveuHA6hZrOo6On2e5OOPurdvMO7kpTKlAY5To19aZQ+GmahHntCEbKTGCVpIOeHOe1wLMVUGKWBOJXZH8vp6OtT2bc6bV35pu199IrJrG//iTr33LeRGzObxO0v4kLUxl+Xe9lVJKwumGTEY5Szeb0W81lMmAXWgW2mhpx5cbxdgUyFFv5qUoTN2uQC00Kxc6lyK+leq6iEmIbVcpCmcszrW4WvCqLPHjB+TPKlLyh1KqlCL1oJY2WqkeuCkLfUAXEWMpxSEJcEoblGLYoIwix5HU6Np2BpvLdVHCpJAWmojWul7oVeU/K8Zh4g/XBb0xTGWArtuZY4LOkbPGNi1uvsLNjghebnxtO3lfG6GdUeBALZDj3mp7cCiR7RMuuLqxP0rRVRypyVR7OC2t1wlZh3y4SaUs2y5hJhlHxqpvpamoJBZPqiZiWRQleJIfSTlitOJsteLs9JRX79+l03C2mrFYzHjr7UesViv67UUVLXkeXb3J482eqxDZ+UgslhSrCO7GfD9wbMt14ThtV4yxbrvcwE0ujEYsKq/1b+pAn7hpt2atBQ3OSbDPZPXW1LQ+qyxkhQ+ehGMYPEOIpCgtcds2gNhSBl+gXNsVqiK8/YmhUCjYKdigWpQFqT/Eis2HWpgEFvOOrm0ORU8/DpVr7yhYUpZ9Yo1YmpUsrkO5DOJFXkTUlrguIFNKxBBEJFckSS+WTB/iod1OCZjK31dKMcQgAr16/dBGVW69eNTmIleQiJzX7Y0FR6Iwes9m3Mo2eOH1DzGRUQTSDctK+Tkz7rDQJMsizNQujDZgTA20UBLckrVcOlU2WKU5vXvG6XJJ5yxZaRGIFdCLGTYq9n5EdUcs7chqMWeMNcBJZ2auwxlDDumgkwAYx8Cu5EOISYgDs1lLoy3z+ZxxP2JNC8XibIs1joIko+omEdiRS0fbtgTruAqB5vg2c+e4utoy5sxeadR+TXozkHTLPAzshj2L1tG5DGao+0uRk8E2BW17cp6RsyJlTynhQD8SMENhtaExFqsNKQT2ux2xcUKVK9AqUTikEFFGE3OiWXQ0i1nl7UeSD5SYaI1lbhsJS7PVWtFoEgbbakaVuQo9uxAIEXbjwMm957j98kvkMZHsiNcNfj8SvNDHJnBkv90zpMBsPscYw9XTc4xz2EahbEJlRfSF7hRKLPT7EcyMZrHibPUhAPrdmkcXic/8rd8FCjMbOTuds1jMOV4tsdocPOKPT1e8+NKLHK1uhNJ9h/GBKJKh0DWWMOsYr7aEoFgtj+SLBc9+v8e49y+Sx+BRRVTeRYH3EZUSJycrhmGoPLUbIqPDqlHcMkopwjNKCaOdWOZ4TyqFrpMQCVJktlqySp7R94yjw2pIwcuJH0dCiAw+4vKCksHHBDqAsWhXsLZB65GS5TlrG4YwoFUi+5FYoO13pENYAwiKERnHACi0tWQK6/0W++Qhr732KjQz+vWWNO7ow8AYoGCIyZJSJsTCfnvOg7NX+PyXf4/Pfe5z/O+/9jv8+i//PMN+5N/6y3+FB88/4Df/0W/xb/+7P8vMvMi/9x/812z9wJ3TD3N5PtAezyvKIMlwBYPRHZk9uRhS5XElNGgjyNxkz1VX+NONNyaxxcOIt3GMgZRkFR+NIvmRzho6XVgqgxl7Ts0OVxK3jgz7sZDUgNOZLl3RlcQJDY3qKE5U3ZduQ9IbRtWzU45iLKpdkVzHiCOHZ2zXPTFBKdKKb9ycplswX54x6xY0zlBqQtyhHNVygh9QRNSBg5gOeRZTFKyCdC0gMNW4yqdJ/SsIlq7Ftk/l+jOQG1FI184FunJ5r50lyjsK5XePrKCQxNNV6jypa6cEMyabMY2uvGGtxde7MZacorRoqQWSgoLQFYCq36/bZmphp6fn5acgEIIJ6ZIPN0fZAOFOZlfRDa1JKtBXTtzSWOFv1qLRaE2u6IK8TaVQVB5qPNx4M6oGjagiYpXJlcBqJ5QRrnnE1H2ZshRAGUnHk2JUaAdZSZLZzX0v6HeGElFGZGJFSVBJKVOM/A1Ut2isEXW6tQ1KGUJFE42p+1SgZpK+Ye022ZmldyPEFRvPpdrqTUW1edfcKAcB4/T8VGzGYkTohqn2aqZSDGoRV7+HLtf7LCGf11pD1FMbXgRG87ahdQ3Z99hiIBSMcSQfWM4XRB9omoaH3/gmz3oIlWJjap9g6hxeT5GbaPb1Q75VLZ7zxDGW7SpF5vJhgaauPZO5Mf8mLq4wT0qdxwar9QFdE89+I6mdFWlk+pvKB5m4m8JJ11Kh5xv7TikUmVK5xCkWshGRqfDEk3Rv8nVa37St1prDscgK/BhRJtN1EzffYHSDtY0kMNZUTUo5LEwPCGlFSaPS5JwYvYe6eERHTBFbN42qKYWF1nW1SL6J6td5pcR+bRKRJupnlULvR8ZBwlQslWeeA5J4KovH6VqQKk+WaUGjpYCd0FmlE9ZKp6cpBm2N8MEpIjYzluPZjLltaBJ4MkUlshb+PUooCdsYmWuNbmaUnCqqKnSNSYh8AB8UpEr3msA2oYFAPqD+Gq3twUf6sIArEdcYDCIkJcV6PVRS3BvDqBRXPnERA+2sIRdDEworYxhSRJsGVSIljOQQKQliqFx8M9lOakpJ9Rp9jYKDhGfEKJak02PQ1+eT1XLGBYSaEmKUa5Ox+BgOi+OcsyDV2qCV0Be6rqNpZbbaDQAAIABJREFUOvHQbmYUrcS+L0VskdXfycmKF158kYtnG3y4wtgWEpgkHv8hZpSOpJxIORHdSAp9tUWl2jhKal4o0PdbnJlBDqAKSheGiHCoabFWce/uR2nblmcXb7CLkbgHXwOFXPWqfvz0Tb76jcdsNt+9T9UHokhWSEujbVtM4xj8QLqQAvn4+JQMPHr49vv/vTL0foQkF7Xer+l0w61bt2jbesPOma7rKsyeCcGjVcOscRWVKJBE4NLaFreoqv9N4N5zZ/T7NW8/VHz8ox9h8/hN+v2OWyfH7MJIypr90LPZ7+gHz957vPf4JMb/y5MjmqIo2ZCy4tllj00FbRzb/hnrq5F526KN5dGTt2isYxgGttsdPsrFNuZEUrDpd6Kg9rAed/zu5z7Hn/7xP8Mw3/HGV75MZxX7wRCzIzIH62iXLRcXFyzjkh/+5A/yO1/5LT780RVf+p0vcOvOGf/JX/tf2fWP0SbzC//NL/Gv/cV/kz//ly74pV/5n/jm48ecHr+M05di6TJ5es7mpN6xHbcMJRPySNSBVFpyLV4mYU9jHSlHdklSz2KUeNISa4FVBNUrWrOyO1zT88qi47mF5eXbc1LZc+LuMDdwenJbIjqTFot95Sk5szRbGj3SGRFChHuG+PEHKKXwuw39PvJkk7ncD3zt4UN+u2+wykjhZGZ0syPa2ZKj1RmnZ3cxKKwJuNpyy0UEJ1hN03Xo2sK9iSSPSiJolULa0UWhbgQeqJJRKG5KT3POVTyjb4iOjKy0M1J0mevYY1nICYVgGjdFNTeHtoWcIgkJRVA1hbAQD0UbKEoyWG3wOaGMZjabMcxmjKMnZ2mp5yznaI4J62bXRdhUwDdOWqw5H36mkmmNxSorQsAMycca+0pt/yayExuoYqAYhVWFnCSkp2taKVRSomkalBJxTKq1gKnobcjigayt2BvN7VzO67ovIgpyJifpUBgrvr4ANs3IVktaU1F02mLGKDcQVWrqmKS8aa2l2M/Xgqa2E8TepxrSUmHMAjglKJQxhlgUjXV07YLGzESF31i0UeRSxSY0aG3JldxZyjWtI5sWVQoqZCjC/46mkI0ksklIhSbWQJtS54gyGqMdE5d8mnfyGitX4DLRXWqsbr0yC3tAYbU4lISSsUU+c4YhAqWiS2erI+7deY7dbs+xcxx3K9brNWkQgPD+/fucnz9lcXrKpt/zxjevJDpeaYyw0xlHSbKTY329GJjmf84TsqdJ+QbSrRTOWkaryCGhahdAUFdzwxElXhfZ6sZ+mNDrA23HYjCkoknTca/XKFWRVAmiK2gXUSrj8mQ/qChZEyv1NxIq7afgbMtyvmQo/kYKZBVu5ci3LHq1YhxGQlLi82ykGDNW+MkpQlAFrzNFZXTM5Gp1Fci0rSPAYd+JV7UgiPSBLlRBkzKyb0KkpAyNJJh1jQA2TZtQtdjSrgFjUQpy1sQUieNAyhLJHrKEwuQiwnsrxCYicm12tFKE1vVQQRZL2ijQlk5bGqNxTgSHSiWsE2FZpxwYLfPQGOauZda23FudMu9mnMyW7L1nEyKjsbXIs6x95BtPHqNj5ui5V4lZ6DkpB7TurgNctMyXQpaAM18Yx54hCmDmnCP5dFh0zmYzUiqMoxe/+eiFQuMUM6fRPpIHj8bQNjP67DHF0VvL6/ue8yHyyisv89ziCHtxiS2F5TjybIgwbBlUZNwnMh3jkFCqYGxk3NfFdB4PC4hhENeQm1QLpw0lZeLoyU1HRgKtGitmCKWxJCULsOV8waLpxC6yZIzSlJTRDhrr6PsdKYwsjpYsVysurEO5Gdp1KBWxJeHGnpmGZdfw4MED7twyfNV8kzfefoMxFeaN2BT2416sJHNLzpHN9pJHj6FVDpMdjdakOFLQWBSahrlaohgIaSAGRerOQRnGPKBMRzub4RrHy/cekMMWrQq3j+8wa2dcjHtyFmeLvh9RyvM2//g975vvHh+IIlm8lTKtKyzahta2PLtYo7IiDDtmVtHv3z9EJKaeGBKlWJSdsd8PtJ0UY60zwrHTmZmZ05SRQmZMnpgzSXcUVYixp+iI0YVUAsYZYgx03Rx6T8zQqTkWQ0qFy8tLVsuGWTPj8eWagiYqQ2k71r0iJYc1isFnXlqdCnrdJ5bLwGqxoyhNTkl4WimRx0jbOFw3Y70X4cxuHAi5RemGohxKaYL3FA1Ot5Ss+dobD/nKo6/x4Rdf4vj2CVdPz1FHhZySXJx84Li06KMjRr8n58zH794nxsjiY6/y9bff5NVbD1i4O9im5Vf+we/y6b8458c+9QMMl2/zd379K+QTCOd7SsocLVZyUwkjQ94T1Y6sxcrHFEdyBUtCx0gapfBJbpQWp5IbYdG1sKxtyLG/RJWR06MZcx24c6/jwUJx1ikePKeZj4Hj42P63Z5x/4iVc8xq8IZzDqUgxgu54dVe2WohAiGlFPp4gTMNOTqGMfH6wzkvPdzxxbd3PNlm3thkTNtwev8BWmtO5hqjM6aMGNUAmX3corXlyJ1SkK5DyRHrJAVw2K/pZsdMAqtc3RZKfKcVTSlit5NJlZ9qUVkMzpOukHVOwvVTgrCRKkoLGAyx8iGvT5/35uvbXBP+UNgk3r9B6UptEe6rIG2KMQsJtxBFBGUsOYYD6hhKlljaxuBzOKTpHVrbxWE06OQpJBpjGXXBlSK8sJJplSJYJWmSQbyXrXXkdaRtWmwyaJ9xzqCKwhp1QI5tY8gkjGopOcrzGUJJdJ0mew85o4LElIZGRFMHFX1VgWsrCAxFOIzaCEJNSugEWWUGPNjrLDaTszh0lEjJFmcsSWv8mKWAkvsVrXFoJ8e9jxFFwlYueMBA8ij3EtiVxE4Xx1BGdJJ2OlhBrYu4TwgtpEacKwVVyFTcNbJqjHCFVVZEEomIpoDiHWEogShIZ8mHYJmQIs6IaMyXjDISsX1NSb52mQg5sQ8yT3Ue0IMnGUefM8qIUHEx63DaYMrAndu3Wa8fS5rf7oJ7t47xJdDdOuWrbz3ifDOgc4v2u4pQVmeQubR7fRbRV1eQkAIraKVuhB6RySwajY5Ck8vGsLOFNlr22YOVIA4VMiZbbnopa1WIyeOaDFZJR0VZlDKMgMoKg8EDwQRsLOicMEquZxlF8pJuZ50lxoxSCWxCZ42rce69KijnQBlIiepYy9jvKKbgFKScaLTGaEUo4kGetGUoIipl1ORi0DrjTIIcSTH8X9S9ya9se5bf9Vm/ZjcRcc65zetfviYrK6uyylWuApeRJWxjAeKPgBFDBjBDMjMmCIQKi/8AIdkMPGDAEAmBkSlRVcYNtiDlyszKepmvvd3pImLv/WsWg/XbEee+fK+oYXpLV++8e8+JE7H3b+/fWt/1bfDyiNB13EumkCh1xgsUp5RYKAalME2C9z10ldt9YCkW2hXFIdmCTwhWxE55tkYyF2JqFJCdI8aOQYt5PQPTpERxlGLOGeojWY7mdJIKUgpaBJZK8IHsGlqOoyYh6oy0mGub1DikejqvOAoRm+gULThx9LGja0itV48WxUvj+3dwdAmXE4/6x7glUZeFKpUwCLXcsSRhdJX86sC4HShTxkukJKXzGxZfucsz5VBIZaHWxS5ZuqdWz24Y2d/dMkqP7pVUK/l4D2miJAtEOabMsUL2I4f5mr4MuBq5n49oJ9ztX+LcwhAN9a8ZxlzYlszbV29yuRl5+eKezjvoH7OJB9z1S2DkGDuO1wdGObLZbnEymsNEynQ6oJqI2TM0OuMxZe70SNcFhm6kc5EhXjDpHbPvWaRn6HqWDLHfENPMgBJlIMzKve8ZNBIQ5qvIYbljo4W9wn0O+JQZ8hEfAgN36AJLhhoL+1KMCy6FTagUr2y3kftlIkZPOsxGodsIc1lMq5EhLZHj4pnWpgjFN4/jbojUvZB0b7x+X3BVqPOAeGEcIqUmjvXe6LqywaknRsd+zMzdAVyAItzfHyiSCZt/xYR7AF98+SVPH2+52G6YlkRNiSVNlGzpUt2fk7Vtm4XneDziSmHsPSnfcX1jNilFPWikOMeUKmixtChxLIfm1ZgzonIanaRkY8F+7AlxYloSU5p48fIlPnTknHh1s6fzibvrO+6OE8fbA9V55sXsatQFjscj+/sj46an64XtrmOzDeQKIRb8Aa5vjlynPZttYnPhsAQ1D25AagQNjMOOVDJLVpaS2U8WLBC3W/7Xf/gHfPnrL/m93/wtdk8e4b98zmFJ/PzZK5zvCWOP7xwxDCy1Qtch3vO3/sbv8f777/Lf/v5/w/e/91tsr97gn/zhP+M/+A//M/7+//Rf89Yj+N//53/Cix/9kEfvvtPQG4tGNvRDCKEzPlboSHkhFsU3SkDRgjhH2pugKzgliDJ6bzwzl3G6sLlULvqed5+OfKfbcjk6LkOmk8xODhz7kf2cCOOGvjeRS2ibfWg83nFrnCYN9ruD70jJkJngBM3GZb28HPjBo4/5K7/jqeF3mQv88x+/4PmLmR/vheNh5na+QcOGKTxif8x0XaQLj4EKSUEb39VHBEPx4vayTdVKE7aAcVJ/EeW1UZL9u1CN+wesP/W17/6Fv3lo7v/n0S1EhOLauLaN6lcRhmJUjqKVUhU0UCSDGkqScyaV3Ap1s98SdxasOR5STmBpThZWiBm6hfPmX4yg1aLmm5SQKvXENe373hLxGl/YImqVrvGxHyJ9JsLihCSqFua5Er0JmqQVVStqVpt11oljq42zKuto1SwnQ2ebcJVqqvpvOJ/DMFBrZUmFXJUQgzlxtNlA0bOzgbjuNGEwuoQnjpHx6pK4vUBjZMlyKthtNF+NQiCrOMiKXxt1Q00PhGaNr1s0g1pENY2CUnggVFsPNa6iuV0Y4rlyqB8eDykZVc+O0BU11N7Zvez6DhWz3fKaeefJE77/0Qds+5Fte47ezom7/YFHl5c8efwWKpVX1y+52e/57NmXvNx3VKdE7+kb6qelnpHzanSXNTUrhHCiarngTajXaE0igisVioV524TG1maHECrUvCBA3zy1C4mVr+/dmtBYCMGDJKMbaeHuMNs1V2t4UCEEKxLPYk6LnqYKEowTGqJZ9OEixbd7QOUUX70eJ4GmGiUvOKPAlJzJiTZJScQYGfuI7zoqhaqZymK81DSTXIvgralx1guaAyUncprRMuNqtmdYaRH3AmnJJ2oICLjIsvKODwdKzJYQGgJBLGCk5kLNmZoSmhK6ZKgt6r6YGCyLUJvEEad4b84jodqTTpEGx0N1jhqchZq4Rq9a79nGpbd46mYJGILRqEpBc+azwy2563jcX6FVGUNgXirO2/q5u7lmGD1j17HdDKbZaaEmQY2/K0NHSdnmoM5ZfHUtjYuNXZPXxH1Wd+zGDSnN5DQTnIW9nPj8Toz24YXizhPBnPPZ0naIdJeXXIuS5gNHEkO3we+Ver/HuwMb6XDzRDeOuJqYl8riM3VNRe0j1Qlzsbhvm1pC1cxcKnNdmI+F+XAkl9VX2rj2NhG1NF8fA75ArpXjtJDnGTd0xN0WX8V0KsWusfeRsR/JuXI8HlmWBS+eUjLbzQXjuOXZi5fsDwcu+hFfIbti90GtSFVSTixLOukodrstt7f3HI9Hhs70V189e2aoeGeTWaPLZqap8Zs9gNKN5iBzyImLGIFKnSpUoxsKle1moNaOab7nL3r8UhTJipKS2QcNXcfd3R05HUnzTM7BUmPqtxcDufFpBEMJdtsRl2aQQimmKtcqXN/eM3bV4n2doKIsSxtNFvMldGKjr2mawDm6IOfxXlOGinekqtztDwxdZVmMM2yE+YjqxKpEtUSzRF96Up5RLTivmLxhacVGYNEFyZW0PxCJpAJoxPkelQhqiTkFs8JRwLXR+FKFz796wc1397z99Anx+TW9Ux5dDDy7vmfbP+H2+XOuLp+iBCQX5mXPZ59/zm//zm/x1ntvc3PcU32Pe/SEP33xFdfHz5j9K37wG2/xB3/4I7y+Qa2NA+rPamvUIbRrhH2G0jaySjFell9H4hNoxQfH4DwXXum98u52x6NRePOqZzdn+uAMja4tXrnbkXMmjpGuNTBBz+K1dQTrvSdh7gs+RqQFJmg+4n1HzoUlHbidJrRTtrsd22Hgd777hOk94e2byPX1kf/7J6+4zzNFn1Cj2XJRDH0NLcGglIJznmqcCMQHtNlTaWmI3APO7sPDfwM74tv62m8rgr8+iv7Gw1kBb4RGe5hWwNWVAvLAA1UtJOM1zqcRBVmV/iIr6bqexFC0TzjENfa5OQFkBd8oGQ+QSTnx/85/dxoFl3LaoFb+5NeLZCfSxF0WLuKcJwSPX7mE1bjTJ/eGB9zc2jjH5hRRKbWgJALdmT7hHvKAH/KJHyYCrjxUsXEwrxekKw1FZI3/aO/F++b4YchsVWfNFuDc+Xed/6wCQfvvKjpUWqGPmq+wNJ/i2kjn6zV9eLxGBT//rodfv/btX/v5kwCurlxSJQ4joYuMXebR1Y5dFwiaudhs7ZoipFIYOs/FxSUvr5/zZz/7lOf395RqqYxeVieE8/uW1oAVLZS60o3a+13dDBr/GidIU2cGNS1AbD7D9qw2LYBRLwIiTUQndl28jU8QNQcF5yAGTCeith5pDZXH3CwqELxD64qu2rkp1e6ztdg0C+XS6vg1C8ChXnDFrqFz/lTMB99ZMyq+rcfzfVpbEAputLpybZSwMA7FmlqjOZmWQFWhTki1mHlXF4SM+N6K1BKRWiyCvFb8aqVXjFoDEIqSpZKmbPQthBQa33lJSC6EnK2heeDX7Rt9wXQamXUuY+CJ8dCLrjaMDu2EIjaVq9hHd2J7d24OGiK0CHRBimkNVpXdbUlscuaiN/plJJBVKfNiDh95wXnogqP3jtLWj5fzWs85kxfj45oY1J5DhTMvuUixFEiMhuY9RuHM56mLOH3AUbbvn3Miydm//aGThvOe6jzHCvuUeXZ/zRvjFb/x+A2iJtJ8z1QTu75n10U64FAyU5nN3cI1UE5Mk1UFm3z4Fo0ugo8Ojq7RRGyN1Gx5FN4544g3nnbNZjdYUIv0dp7SRUJzRzIedCXEjnHYmD1oNnAkhIBTo8fN88y0LGQFycbxrqlSilHSVCHGRqdL9bzmVUwgO1rM+tL2WnNFOutfSs2newSUko2RsE4oSoUyF5vCd+t1bumgf049+fXjl6JIrqrcHvZsb3veeXLJIQo5H5p0oEN8fG1j/YVDha6PkDPBC1fjwKGJC1LJtgi955Mvv+DxboeWzDB2xK5jngxN6GIgRs8wbIjRknxyzpZ+EzzDOHJ3vGG/TERRUlVSLry6v+YwLdzvJ9QPRs+Y9qRciU10cXNzy7IU4+KWRN9HvHqqLgzjFj9l7l69pAg86numKSF+w9Bv6bePjFJQi/G9xHFzf8u0HKE6NCt/6Xf+NabpwP/xx3/Exx99h9/87m9yvL2mfvEZF+8+4s9efs7l0FOyeVTGYeTiquMf/oM/5tOffc5/9fv/OX/nv/x9vvr0R7z98Zv87KvPeTk9w4WJzGf89l9+wosv2mcIHV03MKWM946u69Hxgt3uioqwTDMF5ZCOLDcTYxeZe2UIwtWmchng+29t2W0839+MDL3nyc7oDVJm0I1x4sQmB0FgFyNVoBt6fN9ZF9vQ6nWUXmtlUSXEwTpNnAnkFLp+SwyRKBYz6nNPdB1FhKSOOER8hN99uuDcwO/9+ns8u0380Y+/4E8/TdQlcqg7XL8luY4lZTbRCmFp6zfPBa2BxiNhdetgXbcPipC1SNZ2g9dVUPoN3GL5lmX/TYXO14+stRUVUJvgsDphzm18L2edDzwszloh6UMrAKxIDuIbSpyQB5ueicqSuT448zUtKKUklmwM9RW11rbB+yaeVTUkN2fjQobW7JyQGDhRJQBitBG1aiGEiJPIZrOhtLAH8z12aHud9T1+vYi1ZseKK8ne4kpX+6Tg0PqgcGyF9hpkZBZ5rrFiakNc7bqfEN5qG6iTVjxIxWkHWFBL0uawUSxSmxarLS6cGj99ENQhggWCrOIxhZKNhypgTXR75pUHSPT6eVkbBKxpkUbDOf17O8xarSHRTVAltshxGI9zKguiierNEeTD77zPR+++SZf3RBxXu7e5u7unSmDYXTAMgeO8J2vlZ18+54tXd+yXyNhWV0mFFJuYsAXfqAgSfCtSOC1U59aeLyMhmqesWvMUqzTP584CITBe8jIvqFO6YNz8opWSM13XN8Ge4ZrmI66GrIqJzdJsaOtqnaXVzqGPUNt7QQOqFtRT1WgYgqPmBS3NoYNqhZ/lk+PUir4QglGHVBniYK4apTnBiKPmYkVrUaoW9vNCCI5BFJWZKd8zaeG+LszerjMrJ10L4hdi9ZATrhyhHEnz3qZhteAxhNOIDgmtJsw8iW+dJ+fKlCdb21NCoycLaKl0OLpi9nhOoay0iAboVFVCe4jVlIzOETu0IeoKqBNrkB8IKWWdxqnRjdYC/CSOa8+wrk2A5gw5BFLsoAqbbiAG0LRQa+JqiJQkPNpsiVLXlYeSGOIFDmGaF2rOBOfpQzR0HbUCtyxcDFvTppSGhpZEF4Shi5Ts6aPnJiejqXkDyPKSIGViVkIXTpOyldMMWBG9VFxnBeer/SfUVJGPfw3JleBh1IVH0x1hnkkvnsMc0OkeIRG9cXgt1MUSHqXk1hQWppS5T3s85hkdYkVdZZoy05ypy4zmmb7vkRjJN/ekkk3PJJacNw2DBeBQ8U34PQw7Nt0FWpSSFxyVznd459kOW4LvOB5m7vcHuiSkVBv45whO8MEb5RVhWmaub+/smhdbA+o8hIB0PcV7c9Y5BUvZ/aGqq5Mjh30CEiIzcx8gZ5Z+4LFGLoYBUaPTanV0YfzGPfObjl+KIhmB0MboOS/kNJPnCXWe0Jv5e/S/OBpcj9WqpusDUWyx7k/2VyChjYdjYH84UlO2YhZL8XPO0UXPqg7XVXBVm4G/mCWXD4G7+3t6JzYua1ykpZpIwi6sPexXgUwIxlmbpolaKnMrCHLblMdNQL0Jm3Ki+d5HRDpiHOm7Dd3Q03tHzolDmqnA8ipRtXD78pbpMHN5ecW0f8nnX3zBe+99zDtvPeH2xRccF+XJxQXz7TUhbOj8YGhGKXznnY959fIV3/voQ/7dv/FX+D//wR9Rt47P97f8p//R3+b9Rx03P7vlvfe+z26oTFK4TXtqWmysKDuLsvXdiaZyXw/EYub1rqmmLuLCRRj4/pMdb4zw629vuRp7rjgSguKkjQalWMiU52yTVippmenHwR5gfaTrIyWD1or3gegsjSjnTCmrxVOka0lGYQiIg1IS6jHOa3V4H/HqiIMJ0aZ0gxflzauBq92IxIAvn3F/THzy8g4lUOMVKp7MArqqhE0gpxIawWIVtX0zPvyQVqGcxT7f9P31Gwpg/QY/2W86VG2sagRVZ4EITijeRIR+Hek3CsLrKHJzfBAsHES1NS/n4ljX36EG6BjOFGhTOViT52jIiQMp55EpK8j94DUfvvev/xERSsknIaNtAnIqth/+7NdjSaHZWVU9IYvG5XZUkdO4vYoVp+aR+zqSXKsps1fU3cJDrJj6BeTV1YZ+tXPbNkzR5mai9mzx3htK4hrloraq9GTltn4OTuEeD8+VvZM1bMOcFApro3ZG38WSX1hRbWuKvgFxxqgVTlqkc1s+lhS4To8UnJBrpaqw2+0YuoCmhWEYWaaJ4/HIYV5YH9uH4zXznKkFchGWIgwt6roZYQM0yo69v/X5XavimqOJ84a7ppyBJrquBV9gTZb0bdq2DnE0GN8/UVE15x2t6zRoLcrM2cXRBGzOaCklKyWUUyNuEzNYRbDSkF8bPwesFnYtvMPS/GJtARkKUu3v1o/swBrZk6Wd2Z7VWk8x5OuUbOWRVzxdEGrNBnxUx5KE1LU1W/JpveItfdGXpg2oBSfGbRbMb5f2npLL62qie0AN0NZAGJRrotHqaMJYhzMbHru/V8S8QsiWSBi9uePkVjTXKoZY2hCuva5iSSjOkPImHVjvb9bG72v3gNEkoauAOg5lgSLEcaQKbMYRzYkxBq6Gnu1o4lenFS2mbVgPL+dkR1HbewRHqjYZXT+HgRor8mnCx9qmCHV1U4gRF3wL2VEGdSDBimNxPHSbaX56UDyuWrJmiAK7DYd54ZA8vhpVJKd7putrqm4YxNE5ofcOL2qTjVyQYpRScR680bRyrbhqN6MPDh9et0X0Al0fjG6BrKUQotZOaIhoLidKnGpB8Djp2qSxTdwxLvA4jogIL69fcXd3R3SRSj79PmlN5ULB+Ug3bIh9pB9HypRPoKgCse/QAqlmpBaENcm0rYX2OVbArHOeGh1zSkhWnO/Y7nqzsHPmxBW+gWr2bccvRZFcq/lVdl3H4f5ImirzBDhh3ARi7Lgf/py3mgvLNDNGR995ut6x2/Yg0agWWsF78nLkeEyUohyXBd9F9tMREaEfIuqFpBXvHUE9U0rkMp9QpH68ZDoe8DEyTwecKncpk5NDZcsyFY5hJvoeR2A6ppOncM4ZXKDkwDIrxzlzzHBZFpa5MPYDgqNIRPzAuN0xbi/wfUC8sB12TegUuNjuKClxfXfD3eGWf/ZP/4Af/OAHfPdXv8fz58/5J3/8j3nzw7f59d/+AfPLe/offsr+/Xf5/KuXlkqjjxllg2wvuJ9u+R/+u7/Lf/yf/Pv8m7/7IX/7v/g7uNtn/Ph/+Tk/KrB5+hb/4v/9Y37nV36V7XYLujDf33I5bphVuU57khS89/Qu0snE3ZKozjN45Uk/8pc+eocPLq/4N6429LpHw56l7un8SHQWEGEWQoXQPIBTnnHRim/Xe7a7Lctxoh5nnI9I55C2SXlxjP2GGmFJ6cRdC11D/bwnBEfomrOBd6gb29qr9K2Yvrqw1LFDXghF+Z0Pd/yVt3+X/ZT5xz95wY8/veWnzz8j9Jd8VXtSCBx9oNbE2HvshDY/AAAgAElEQVSC3qISSMm4gF0/njw3q7YNQR1ncoV5qwax0aEu2kR/nMZmYPZcgNlkibcN7gHK+a1IMkrq7Px0WIEYspLVuJmtVALtqa40kV81tEAcKUZqzcw1GULogrl21Gar5m1z8goke3g5qSiVhYymDvVWtAUHnXPMjW9odZBrCKw9ZPvRbB5TMUJBxh7eIYQ2mrZRda6lRaha0eezpYRZ+JBtgFTFhWgG9rXSBbHiwQeQ5tPabOIWpwxdNKswbKMzGpSNvb1rXGu3s425mMBSvI0qq1SzQWsP3lwqg0S8hzkfbKpUPSoRZUJkILgNuVQkWrCLoeUNcVTXkEuhxUNYIR7OhfG6PyRtiLBUE5aJslp6rPzmquaxDJXcRtxtkGA8Ws5Iaaktwa4tqZUK4JQWpODMAkyV6JQP337K27vINihx7BkfXXL36po0TSzpyHtvvmde03Xmh3/6CV8cEi+OiVSVTnuceHwfSZooWk9WeDQ0dw2u8a7R5hTAmQNQqtRS6UOPOSQlvHfmMe6NniJOcEHBVVyIeBfw6sA7PKZp8AIBIfpo618iuTb+u1dD6b09b9Zid5kV53qWnMz/2AluiGh0LPNCrZXYQipCs7yqmFVcqcmigdVRGuLngtA5f+LUl1JIteK65h08R6RWoyCKctE/xmlAc2GZ9lb4723MrtXOZdIMUplVCSibvOBrJkZPcZDSasmZbDxeM7F4+n6D98Ymdtne49SKGqqBTioGUixrTHQyWslK04g4G3O3Z6wWRVLAq2dukdan6VbJNsqv2HO6Nb9xaEEeKdMFE6WJrtz1hHNCLpWqmZ0YVeqIAVpDN0CoSL9D55nl9prN06e8+dbH7I9HmzKFysuXr/DbjjcuH1nOgRZe3LzgzSeP2Y6e/VSJWanHI+6dK6iFu7s9oR+p93dsuogUON7PpFS520+E0NFppI8DN34ijz2zr4xBKKlSykLXDdwd7uhGTxgjrvMs6cCyTNSSqGzRvjDnzJ/dTKT5lk295+nTp9wmR533fBRH4tBRcWgq7NPMlPe4CMsys930Rme4n/BDj9svuDIzDCPb8Q0Od9eEarzeg1ZiN+AksCwLfYZ4POBi4XLccJGU6+uXpHrksBS6eIHoF4S+4+iVV4cDnQa63Q7VPf3mgs8+/4ovP/+CXIXsIi4GfJ5xohQPi8xsY89tSbz9nfd4evmIMGV+vv8MJ4GxM5evTd9x/co4xNEHC5BqBTAOSgfildh5RD1BPTkbwnwnmetXz3n86ILdxhE7ofMb7ud/xWKpaym4IgzDwObRFffLRDcOaBUeP36MeM/t/bf72plwLLLdDgQvLMtsNlazqWNjZz6p9/f3ODGf1Pv7e1ZO5jAMlnteK/v9nlIKc7KuJOVCUYvfzNkU9fOSOU4LL549x48bdttHoMqjR5HYOeZZyVnIeSI3H1CAxIGaMse5sCSAnmmJ5CqMu42hFL5ns7tku71gGAaGbmy2Uxar+uTJE3ZXO8QVbm5u+NlXP+f65Sv+8A//EAliNktF+clPfsLlMPL+u+9SvvcOt59+xpPdlpu7iSXtkVCIbuRXP/w+/+Pf+/tc1Bf8xq99TJlf4evC++/8OjF20BfGq5HleMP86prduGMcI/PxhkdDZcl3zPs983xgvxyZ4o5YK29cDPyNj97i/dHz3aeVMU5kn1BX2YSOrXOEGKGlANHQtKqVrILvIsNmS9/3HGpBug3GffbmL9qKpFpsBNx1A0OMXGg2j+sHyUNmfVXRFvFgYi5rfijFlOrOcX+YLE2o64xTnDO5u2PYeP7au0/5q/I+/+iff8pP/+wT4rOemY5XaUdWYewuQd4gpUSUShHB5UAZWix0Sa34LFDdeZyp6zgcspNTUbL+8eepuYEoun6KM9XiW3nLVaEmVITcUpdQ8y1dfayqKlIt0CX4jJJIaSblmU0qNs4WxUttAomGpjnzpXXNqUS9grawEjFfTXH2uxVHwoRja+DCygOlGM9PsE33NdeMb/pcq8apVCoW97uoodQ05KloK2prZaWROOcQvAUQrGgXhkZFkfZ62ookQ5lzKdRc8DHiYzCP2la4IWdeYTDiKvOSwAl9P1DTTFoSqWLjeDpKTdR6Rq9ErCk3RMfO3zkapH1cWVF7PXtm8QBJljV3riH7KO4BT6+q4lRaclo7eXJurHy7HitKrNI8k+WBdSErFaIQWgdXqjJo5emjK97YbNh5eHpxxW7ccvPlV3RdxzuXF7z19A1SLXz22Sd8+uVzrm/uWVIhDAMzmAtDLtD4yQQ5odU2gTjzQaWtCxXj0J7EnPWBULG0tYA5/KCKd0Zncdq8lKlt+Z8nHdqaKQkNQReoxdwfKis33J8ER+t0pDzg0R8PB3PcaULRVBej+zkhDr1NOFD6vmdZlnZ+IWe7owcXWJ1nThqLvCB4+tiCmJL54qY0owIpB+P0srBoxTeLx0Jl0URQ35ofA6OkVnRZTus318JEAW/uTV4cUWNDW83Rw4WWwAaUmnGl7WeWqmNuJMX8++f23O294GSmqjYE396lTQYeTjPMEznXCsUa3XUaSxaMpuqtdVcrisR7EKNIbUNHDANv+p5H6hFnyW93xxuudhf045apwMv9RJ0zw+aOx48fsyzLiXY1SiCuwkUn+M3AcLmjlMLd7R5cpOvH5kpk3zfPM9M8M+4ecz8dWWqmSKW0EYEbOjR6UjVqRSjYvjeO5FkbX72h9j40e8J6SjzEGW1Mmq7p9v6Onzz7gl+PV/zmRx9R5gU/ZZ6mZxSETUNZw7RwfXtHkA3beIFPHp1gmHvu64FjSZDhOFnk9KLC7XHhmJS4uUS6LUd1LAiT2qSz217RX1wRc6TrjB53t99bMEn17O8TWgPzUghxQBSOh0wtR5QO7zvSkqknrZJaQEpRHl+O0A3UfERkSzfaVCYE85+W4Hnx858zDJbTEFyLnRehRmuIREwo6nMjMDqYD0dC3xGHnpQSz148J5ct27EnpYmLi80v7i3fcvxSFMmOZlbtAhVHERs5qhjCLN7/uZxk1bN4K0aHl0qZM4+vHpFr5cUnn1EUDtOESEbwDAzM+exTGUJgnmdSfhDkIZ60zMw5QRuR5JxNiauOlBUpjuB7tCaGYcAH2O/35FzaZKqhPt41dAJqEYTI0F+iYQBNdNG6vuA7JIbGw7bRR7CBPkUhYHypRxePcOq43t9yPB7RWvjkk09QVZ689zZeK1999gVehKcfvMdH4vjpJ59ytR15/nxPLgtvhIEy7fneBx/x9/77v8sH77+BpgNX2w1XV48Yui3Z3dFFYWy/77g3XlsfhL4e8eXIsr/muJ9IaWFRxxvjwDu7Ld+9Gnm7V57wCqojS0BCRGTAN7QMtUlbVVPMDkRyyUZBETFQLPSoD/jeUGHvI0I5+QrXWvEh2DoptY2/zororwcU5FyROp0FYlSLba3JCjcngIlyksy44inH54wXT/jdH7zBO4+Ff/EvXvJqP+MPylw6guu5a58DH4g+IuKbIZetAV+NkkMrWFWs7lxx4LUoXN+tieya0f6DYx2TrV9/G5IsDsIqUGnjddeoF6CNWgAVG7mux0pf6MXENaVRjtTYqpxEXKw0AIyeVGxsvPJytRbUO0PGq6cKNOtTo1xk0Fo4BYQaufS1z2f39+tx0KIOxJLDoFLVUVuCk/kFN4Ht187XuimuRfKJjoBYw7DSI+TsOCDS4p8fnGdpivxVXLg+n3w9/1xtwRGGlnvzfZY2Us+ZKskSGUMw6sZKfbFPfOILt9DoU/F7vtatQXLtSqx8Y15fCw5OBclpjT04t6vftjSBp6xE0QfHifJSLHTbNzrG44sdjy8GenF0ADVzuL8/vcc+mq7g+uaGL5+/4uXNPUmt0FiWjJPmC17NKtC5h0Sk9dkp5zUpKzK+jrq/eY2szbahuA5pvO3z+nl9nSsmKnLO7BaN1qOnMTsrPehr7+0X7r1iTY62JkS8NeipFnxeHRPO7/HhubWvm3OHt6+lCQlBT01L7PwJ5deVUkGgaqKKpcXZKNqKkZzWZkLtuVoqZG1UKIuDLmqIbmicbkpbdwLBCQEhOePOViq9GqVqJayrCEs1zcGxPPD3bkKy0znyNvWQNem6FYHagkPO6aDn8TnQKE3tee7aKF6suQ/eGogRocsFyckSL0XRasmo2vdUcXzx7BXb4TG77SWH48yyZEpWupamWmslaSFTqW0CZmvEinUroh3eBahKyuYnLN4mMUUb9SeYn3huTjcmBOTMzX7wbFmfR+vnS805YhxHYh+IS2W7vWBZ7gjjBXFzSQ4jx/1i04HtQFoKdy+eMWUYqAwOJEToOiZVlqqomMUnbhWZ2zXIanS3rPb1UgpJzVd+LhWkWhBX7JiPmVzOQusYA13oGz/crHFVPFq9AYF5phYTZFoYT2tMG1WlYrXXoI79dCRNM30LKRHnuD8ejI4WfDM9sDCoNXxpSRnaOXQILqWTxuD0vHee6itzWphTx9XF1nzkv4UK+U3HL0WRjLPx7bxYd+P8aDekwuFwOKURfduRc6XWTNomhqFnux1Z2oIc+54njy94dXPLkhPLPDEMGzbb7UkUtQqFUkrkZTYR2GILYj9NHKeJ0A9tdC7c3ZttXCKaF20wQY7QWbc0QyVQC6QiTMkU/clv0NxCRoiM/RPCxQXzPBNjpO97+r4nOs84mv1JiHYTdc0GKbfs9KdXT7kYLyhZOR6P3B/u+PSTn/PV8y/5a+Nf53sffMhPfvgv+eyrf8pvhcpvvvce3/Pv8dVXL+ncjuOUyPuf89HHH/Dlj5/zKG45vJp5snnK+P4F+XDPdvQ8efoEH5TszGliu7miC4Hnz16iVMZeuBx6ls++YJ6V997c8K9/8CbvX3R8pz+wE4tMFXVsu8c4H5mnxAJmc9NFLnZXlqxTFjSvynbo+w39ZiTkTDf04AKuCwj+xI0SZzY883xkToZcWKKTIzdUucOCOkLzhJ2XmVSmk63gqTh1ASlKvj9ALWiEoh1hiIgWppcv2PQXfPx4w0d/c8fN/cTtHDgcKs+eTfzL/R3Prifm0nE7jxAGtFrHarZnTX0bXn9Yrrz3VXi1buJBm6iv8UNLK5b8g43kz0OSvXBKiZPGk3beWbGFCSYaKESMAbc+vGppxeLanhk3rxZFq+KHM8qtRt1vBZoV26raxErdiUsoYnZeksv5vTshSaUPdl1OCmm3NsVn9w1dr1OVFltdGy/eREdGt20NCeeG+mEzYV/LaVNaN6ahG1hFcjSay4pm+JUPekrZev111+sVnEc6o1Yt02wTJBpCqYVcKi561thao9o0sY00t4Uzi8LEjo2WspY8vZ7fwzc1Rmvz4tsC0oeFvlqoiaFTwlkUeGolzoVkex8mVGuv0TiMmgvzdKSPju//2kf0mnkaZ57sBvCe2/s90zLThcDlZouWyo/+7E959mri5d3CYa4kFbwzZwZaM9Ou4ql5edjkgBUh0njcihU0XqxpXot654xLagmCbZIiinMRj57+zdZVRTW+dj5rrbhgsfLq2kJwci5q9PTNrOZ4D4s6h+DFMc82pfJdxAlIMQF57zrb4CuUtUEQTq9VaqKaEbNNHFoEtSrU0kSjceWwd+YTnpL5cOts7hzFWey8mqd6MzFv979HpJJca27b55Ta/ieYU0jO5kyE6Okzr/MKmouFiBXUFuYjRvVRo8WsnFM04xtS6loxrALqbL9V76yRcKYBOj0XZC3I1zXtSMU4zDLNVgS7DLWQS4dqYNj0dB70eKCLHVUqu81Avr1mvz8izrGg7KeZKRdSUWoF5wJ0gURzoKimGRIx15UQB3K5Y3+YqaIs6exioVrQqIz9wN3tkZITaZlsWr0kyvo61SYSLgZDQSmNJjPT9yZOzSWRSuY4zxzSTCEzpYk5ZbYXl5R65Obuhs1mg4sbjvWez7/4hG2Y2fUjj7Oih5lHfYBZWKJZzl4fX3FId6jL4GYCQicR5orOifv72/YsMAqb945pOZKrWd4qGRfMHWNKypwquWijvDkudhtCsDS+KpVUFnofmVNGpwXf9aSEtWyq7doblanCKTxIciUdJ+LFJbHrcDFYIM1ciV3H3fWNoeyxw282lJpYpmObOI8mmq3mJiKaGbre9p42nXxxd89xntmO9n5rnX/h+fltxy9HkYy2h5FZsolCNw4m8mgL7eto4MPj1HmWhWURyuAaf6o+GMWV1zY64xq6U9rRKa+8fc+yWFTjNM/spyOhVnoXGIYNORmfpQCHwz05L4jEFh1dKdm152tvY8JqufQhdHhfYWPq3tibqXd0Rv6PMdKFSFCPw5C4XI2j6xrCUa0dI7pIdJFHjx7x5OYxKpW7/Q1pSvzsRz9iGwbe+/AjXr76ij/7kz/hwlW++97H5DmTji9JriDdwnH/JUET9ze3bC8vuNg9ZvA9enHg0WMhiFlk+S4QQzA+onfQR6acGXYXfGfziOeHic+fPefDpyPvXnieDsrgK0LiGAY6FxiDeRknTTbONgjHrqFzRBdR7+j7kSVXQt8xbnbkeY8PHvFCbiI/GuKnWkhpodQZU8C7dgMWxKZyrSBaQFfBV2TJ0wm3K014pRW8mqeqbci2meYp040m9qrJ4sFrEHYbuNhA3gU+eHzF24fMn/z0Jc/vCn9yOBoH3ZUHo1obGTp3Hu2ZyMreh3tQ94ja/9fGD60G8JzU4n8RJNmEFIYiri4Fztmmzbq5r9/XbAO08QWhktSZ0MZZjGyTdNgdq1bUrF66TmxdaGkphGDnG0PlQ0PRS7GRqfNCcYoGd0JxlHMhciIMPEBB18+7+uaqGjpj/qPnc7AGuawF37edm1Nx05pfs4U07Na1503W2sKIvub88eC5I9oU701tbc8QK7ZSSbauQt/WrBUt6+E5F6Xn9/w1ygV6Giuu52St0a1+MzpCVeOTB8PS8dIipBt/oLbY4/U1tC0sQ5fXc30uUtfCUUSYayG0uYfRlTqGzYCb980v3bHPibnMhBDYbrd47zkcj3z1/BnPrxcOSzVUFkuPk1pMiNe4RcVBWD+YnCcVK/q90iBQwDtzshA58aqdmLWairx2Pu362vRGABriSlv33olxbdu9tHKyRax405LPhR/tPpXzOjpFGT8ActZ70qLO/dmrOxeKGF3l683t+lrOcfJgZo26XpHr5iShvrfmqSgEh9YmPlVpo3u7Z3WFbdVoNCLmWrDSVZwz67xaK8XlZnGnrPakS3u99Tw6cWa1J641NR6vjuRtFO5aUx5UcEScCIMY0LNg9l/VnZ9Zts6Mcum9P59LQJrHuq2ZihfF5Wz3VQMM5ppxCZagEAS/VHzN1OLoXcWzUJeJZT5S1ahTpVGcVl/uY1qY0tImSULvI5toIFVTWqAiJiATyLWJ5HRda+YcE8S0hx6lj535cTdkvziQ2ESf9TwpAhr15zyZUFUT0HlvaXeDozsOUCa0TPZ6KtxOE8/mGz54a+T7F1eEcES6gPeg+z1eM+5wi053uFlZrfgC3vaAZFoRasaRGTpHF7Cku5JxVBCli44YHLWuMe3nNe5QnBRKWRBRsha2IVJKIiWj46yCvbqKQfGGUKtyPFhCoRaYjolajEKRl4XQ0pD7vqdut2YNnPNJpB8w/UnNCfXBng1OiE0Mv+7v6/QmpcTNzQ3b7YZhe26Q//+OX4oi2dJ1lLlkuiGCZN5++23KkogNWr/79sA9vAs4b6Olw/7I5W4ga2K7idzdXfPs+RdMcyao536ZWOqR/TTTOWEzBKgLKQm1wPXNHlXYDZdoUZZ9geJ59eqG7eUOlY4w7FjmTD86jndHXr6c2GwCjoCq4z5v7eHbmzE80tKz1NP3PcP4lHme6YaBUIXYD/ho3XboO8RllpIAR9Azb3JV+ZoQ1sy/n3ZP0forXL16xI8/+yn3+z0//cmn/PSzL/hb/87f4rvf+ZAvfvgn/G//6F+y/etb3v34XRaE7qsvuPLK4eZLbl99Tu8dv/L++2xC5Jgntm++QT/23N/fUo93TAfjjN8e9hznwsXlYyi3HF/csZ8Xfu8vf0i4f4PLsnAZC309Ms0zjB2df0QIkDpwvWMIW2qF0DVHAY2QHc4N1JhR70xdjaJ1wYXQuJ8Ot6R2g3UgFSkL03REysymj+RinXkQoaSEr5Wgjjkp6iuxDwzbSJGO+/0egKurKzyO0rjCyZl/qqgSNeMkw9EZN9c3LtuwQ6JwzEcbS8aBDx495Qcfv01aKv/XD7/kp1/e8sPPMG/T8IS7skdi5rh4ApVeJlQL2XVU53EZQ3ad+cHSkNs1KMI1RFxrJaghhhIcjRT7C8eoG7JrqLADG0OpbRJUnPNoU11Lgl0/czgecemAqjD3RjFyqTKEaLG8mDOGa+O50gqyZNUHVbylSOKITS2vCn21WOfaip3ZbnxrjFbKTNeDCkkB1xFYUAX1FgecEaIIs0tIMCSxqBKKQ4O5dxi9JhCivT7J+OhZHT50aLHiPjqLtA7OU2bb7GzSbJhmCK4JQANTNspOdEoqia7boMA0WUGYiiCzNffmQLDgJYDL5HIw27Dg2fjI/SJEX+n9QqIjhPNoUI2HYsU0GSSCCpqdpY+GVVzXnEfQE41GVFhWnicHo2lpAxa8p5YbRDxZBihi9Begts1+PUQs6fDganMNMAGlHj3qE1NObC5GrnZCLInQeeI4wNhRni9sww53tWPoRw7HmReHe55fz3zyyT3HDG7TM0gg383UMVPbmq44Si5oMa4tYbXvE3M6aE1LLRVofrMugJifMsXEkzoE07jUwrY1hbQCFazB6ogoSheFPiiq2ZoXTZTqcNXjqoVYaW0UgYaQ5pzt+au+uY0EUlbwQq4zPmVi7KnFCgBraDq8E3KZUQ80j+ylafL62JmbjwakFZbOJXJJUEZLq+vsw0yzjZ2H7kiuwiQ9uQoSe9yS2z1ogkVfCr4Ii5oT0uwFLx3HUnChCRZrhTJRK+RJSa6YtaUCRXGFBkpUXAh0fSRMRk/sBRyFWpXeG+Vpqs2Noyi6VAKO6Iw3fauJguPgrVspyQrjTTdwHywj0DvHZjNQcyHJTBd7yAXJDfVtjeiGSPFwXwqvcmZ3OOLGR7yzvWIQhxzvOXzxOe7x28gy4/LClY/0m8C2D7y8vkEUpiXxuNvxeLzkmb7kfpqaHglUeubpwD7ecgh7Bp4yVo87TOSgHAMMccTrSE23DGGkpJl+13G13bC0EJjagpa8KMt+ZpoWsoclZMpo04rl9shEJfeecRx5LI7sdkx1j+RrSHuGzcAwjhAcc050mwt+9tmf0F9c8OrxwCyFTRHeerLlkX6Ojw758gX55o4yXuAFeg+7TcSliX6eeXTR8eXnmcFHtn1E6mwmI1rZbHturp/zdBy4QHlVClUTPh3xNVEvBjR0HGbj3qfjkYFKLx5fbGJr86JKTcV4/tFqoZihU2UuM5RKUrjN9/TzHcN2w+HunjKZADaMI2PsKF1v3HqJHOaZvnaUubAME+DQJHgJqJhtY4wBH0xLdtWPqBZeXd8yLTNvd2/9BavTX5IiGZqIoHGQhmGwcW0wLtbXOYpfP7z3OG+dEhj6fLHZMnQdR3dgmhaOhwUTflgqy+px2vJ0yGnlsCrLshD9ZA/vNpKNMZJzsZSi1i3HGPE7j4ud8aFbDOxQK+IDLgTEB0q7sYNapK06U0h3IVrX08ZOZ+TDWTKWGvrxELlYjxNS0d7bxXbLdrsl18p0SLAUfv6nPyOkytN33mbz+Zf8+Mc/Ris8fvwGctwz7Bfu97fsDwdC9ISxo+s65n0iFyU6x1yU6TDhxs5SCH2P9JX93R3dLvDk0WP644FlPhDJjJ3QR4jOEprwjmEYCIET78x4WGb9JCLEEBuCEsCvVlZ2PtI8E7ruhNCVajxy7zy12MjNRj1NZV1ah9vG5CKCK+C9iU5yhq44Oh8o0TrV4/FIFyLDeGHThJyM66lN2KaujYY5oX6uWIxvaDZg6jwuZKJTYu/47geXjJcdh3rH9c0zbudKyRFPCwzg7FqBqtn2sPo+WoHiT/zfMwcSMRSHNoY3Nfw386uq0FAgWEM20NUflBOipk5P/Nr1EFGamcKpwM4N5XAtZOS0Dlfwj8bvFXvvqwk/YrSORq8094EH6/mEZNNkVcU8lsM3PJ0eIqAWoazNO7jRUdSuUwhntGodw2tdv7a/r7WSsCQ5o3dpG+ef76+Vz7mirGConQqsMRVZc/O9bTi7O82y2ybBCVF67TPIWXTm5PWb/Px7z2ibljPHU3W15tITynr+OUMfa0OkK6Bq6ZDtwp9+dp20n687zWnG1pZmpYja86gautSFjiiV3oFX8x/WkkGUtMy8+cYbXO12/Pinf8rnL18x5cxi3mjtvTcHFRW0AqUg7V6FB+dx/Tz6+vVY7+/XzmdbXznnVmS6JhST06TmdF80+pE2BG+lfAgeW75yWgO15hPP/kQDEWlOH010LGYfVr62T61fq5MVEjf/ZVfQk15FHlxPG3vXFfk2+xTk5OGtryGtqxanivE7BQtLOVNWzhQl1NahsbODue2UdWrkLW67nfRabRICQFksJj0IodF/llqgQPRCEMU5xYtrDYi9v+CE6jxr5mgWY9UXqolVaWmKrUEeqhCcI+CJBRCP+EhovGXxNjHI3nQaxku2n3dVzaqvwpQLKtYoe1HyYjHIHbANjtGbU87qTS3BmvwlG51liB25H5pP8uuTgXXtWv+wPu3OTf6atnnmMp+nMSd6l7M0u1LMTagL8bU1s/7Oh2EjD7n2D6liKSW60DPEgRh7jm7idrpDUqFfHW2nGVrgS3aKWcPZpKwIHA8z8zwDlrpYi5JKIZXaPMFNA+TwjY7hX5s0dV04abXWqTxg9ncPOP7eB8CmXavFpjQPeefsSZqXmeeff8lbb7xFdJ6q5ZRiurqflSbkDCGQjgl1ZojqEXKjUi11Mf57Mwdwzo1/fxQAACAASURBVOFDoFZzzZqXyu3dgb/o8UtRJJvgziyT9vs9OVl34cUidPu+59HV1bf+fNdHnIMYPE4Ky2ypMj56fA0cb/fsDwvj5RuMY7QbfcmId9SgjC4avaI4inpu7maOc2IctyzF4P0YOmjexSkrWs2abrwYWKYZFzqGwbwBfW9WVoaygYrRL3o/nBZ938eGEDtwq9uBPZSD7/C+t42umnG5tOjF9WFt+4PiXODy8pGR+0W5ubvlJz/7Cfl44Mf/zw/5+c9/zl/99/4m3/vgAz7/6Q/56tkNf/Pf+rf5+Fc/on/mORxv2T5+zOWTCzZPL3nx5ZdkVY53R+6/fMWzF8/x3vO9D9+hb6ENXQdDF0kp8XiIXISer559ytVmyyOf2PbeCt9uRLwndEKM5kpRtJJybYWykeOMdwvilM4HQxFqwosYOlRNNGZjSEuTEl8aFUdxjtModhXtAad0PKqiXpnvJnJZiMEEH8ZPCtzd3VnQRXCE2BOwSMuUlxa1CeH/Y+9Nfi/Ltvyuz9rdOffeXxNdNu9lvq4aF2Usg0xjCwkjAULM8AAk+A9sMUTFgH+hZoyQkBggJGZMEcOSZRASJbsoV1F2vffqNfmyiciIX3vvPefsZjFY+9zfL/JlVqVlW36Y3FIqIjLid9tz9l7ru76ND/a83bm83B+7gMDbyEcPlOmWScyK5jtPL/jgeeS3P3jKJ59e8cd/dsX/82niqDtuq333xTkQh28W9dk6N7dp6+O4ftifiip3EhG1HhICxtX8smUHrx3I67LrRwyF79ecQ8heLXGbftgFIS3FeHjeEOhFbRAbdejNQ+ckPy7g3ZrKZKPQ0FX56mz0HHrBvFrdmbUYuGCetIoFRlAbEn8ZIW8126uuho5XUbRkVF1PnrNiszpHNdjBioaq1LwQYzQUa43AXjLRjyfVtXiPD6Fb2ZkwrhagNYsWxpH7+F37YXfslKHQSSLOBUJLVDJekqH3xVO6c4FIF1+JTa+k9xxGwVmLQaGZ2XTf/LE4YegIphjf9QsCFBGhNkfF9fRPpapQdAvaCJX+3ZeOEPpfYqQkMeETnbKRHBQXqdPEJnne3XmeROWJLIQgPEmJ65s3lJpZWuXpxQWqyg8//piPXl/zw09vmFVoIVCXjKuFKEJUc3PwCNFePIUvZ8is3GmLT7ZfcysGKCAnf+haKinG3nh0D9juu+u7+4k1QibGksX2EL/alWePk2auOZ23HeNDPPra0LXu8evWhsl5pDf73nm7JzqtoDmo3SYwa0NctIJj5cFX098UP7PUhtdoNIZg4AvOmkaa+ciH4GnqzcGiVHIXJ7oSzQLRK0pGqV00ZaLx0kKPIbOmotaMaoAeDlFEbR8q2SwBpZHiYMUMtj8cZwvDWkSJAufe48Q45kEcqVgymmswtURFOTYLejpSKSJk73ANUrJNwAchlcZmN+C9RVm7EIh+A80AExeM799kQdQKaoCl2zimuMOlLVfF0Ojziye85xdybuxC5J0YWci8QInTkTYdmfOBqgWJwRxT+ndcp4UyLya+7Y405nldyLKgQTguC7l5iiYE4xQvJVMaOB97gcsDuNMbkkNZmEqnC6iwi8NbpgQ5W7hZCOFEAV2L43Ec2e123d/buO8hDAxpi2pkvzR++vlrjrcHnu2OfP/9D3h/syP6keU4QYCdd2xE0FjYy9Gu72B2uTGMQGA/FXKBnM0OcRt3BLWkW/ssrGHbbAaGMTEd7f1kVao45lb6ZE76z8AwGIDXyoKdWdr3+UwpNu2VFpD7hX1704FP+1xyKXgxOqprgAuM48hdNVqga+C04XIz0MQryzyfJu+1VpyY0FdlpFbPm7sv22W+fP1KFMmKMk0TbnxQnpsww5mBddK3LqRfXu10YTmxDs+ZQgCHMC+F+8PE5twSl2hmu+N7x14yVJtzo81RS2NSRZk78mbet7aRCjEknGhPx/K4EIlxsAOYB/HJ0npMZOeERh9OpP81svqX+I3dzNw2/t5tWakNj/7dA0rmrVsLwtOLS2KMvLn+nEOFaTkw3d/zp3/6I3bvfZ9vf/gBH336ih/+6E/Zfv8D0jLRloWKEpMd5vvjPXOFg47cTZnbYyU4+Id/9I958f4HvP/B+6QQbPwTPPPNa5DM+eDZJMHVaulXPhCGiPhkwozgcNEOxaJW5MRgwpKqlqjUUPPbFWE+mn/15fkFtdiBLsFZJ0yjlglU8T5YDKuaWGxVzNcTSgKd1tZV49LFSEJIkXGwWMylZKPAJLsBDaEx1EKcjVuldfsvu2gfHh96oWbWcUupHI9XuDQwxEs+uLxAv3egRuXquPCjzyoZoehgiAkPkce+oy80S5WibxSP0bVWYZXTeRxfXlY8qNFt9funo2boyu/slmk4ShNWb3Gk2SFO6/4cxl+r/X2vqGRrK4onoNpjo6GVegq4gJMGyg6OL9T0rVtgdYKNmeDzgMQ9Rlo8psTWJqt1A16guh52gXaWhXZ9lp7erKrQcsF5M8uvGJJqn9ODWMxhGgYR4+CKUwRn9ztC7dZgtfRCuRdPtaP/q0WRa91b1j2goQ9TMWf70xeRwVrRJvYaVTATvl6Ird3Oumcop0LwNGkAQ7DdquFwqBry5XvTLafI9F8aUCFA7ZQCWkf1FTRAoLEJgbMobF3Dtcx2s7Wmdl5otbEdk92/rbDPmftppjbIIv37N8SU7kEdZEWozAliFTJ+EUler4PH10TVHoTjrNkWhdgRwKYrj9uwfO33l3Mram8pdhVrbmprHWFsnXusJ0HtihA+Rq6lO7EEbwCHtrc5tSIP54B95o41ktwJJlor2nm+0u9XpTQrTv3aBDmj6iQvJwcg0YpzY++urFO1qdIDcqmrUIpqFCfp+gEFp91xxkezaOsJfXSxLtpM16FC9es0qxlAoIYQN7V46aU/5iDarffocdNQxNC9Bcja+r4CtL4PdBtJdTCr4n0z4EoawVdGoGq1Pb3vSeuU5nT+9UFWSAPOe6Zq/2QMgRoUjwFt55stc8uEskCecZpp1cJY5mliJJ6+Wx8D292u31f19N/6fRrq2e0a1mJvvS68g45eOn3Yu9YJam4W7NGauZ6sPOj1Hl4L4FVUvq6HCYZnmmxivk4XwF6KObIIh1Yp93teNKX5hPMF5xaSr2yDY5BGzQulLEzzgdL5xK01Sm6nPWE9Q8U7SquGvvMoWMc5onfU6PApkmuhYNxsuge2CVox1yG3nnP2e4f0FD8781IaCR38AhhSJGAuJ8tJtCynz3IcR2uyu53pOp172E8fUPxScxfvh7+glvzl9StRJDtnXN1aFz7//HNS9DbICIFy7KjyL23nD0tEcV4YhsGKKGnc3h+4XSbupgMLjhYi9/cHwvYCbcr93UT2sNltubq+I6UREUepgg8jh8UsmjZpS/CWFCUEjofK2fk54zAQ4gDSSIOlCuHNy3gnFovql2Kett6oBDH0sISe8ldXP0j/4Jsr3hOahTLYpm6IFjx4Sj5eVRWvghPPO09e8OSiElA+e/05P/3Fzzge7nn5Bz/k715+wn/8H/x7fPiDH/DyJz/jT25e8tsJ8s0tx/sjm82GyyfnfOTg9vNr3sw7hvOnqBRu9nsOdxP/90/+iLOLH/Picse/8dvf5d0zZb7+FJGF8ycDbpnNtNyBd5Ft2prH7CYZ0j94RAZadSc0iIZxMbuzgsNQgrJajzRlmS0+tKnQdAKU0Rn3sKp1rblkcl4IXkjJQkjmzt+rahwzL1Bq5e56T8RzdnnBfslsL85JrXJzdUs5wDLOpDQShwHZ2HhOi0Uxex9Nwa6Z1g3LnVSaLByzHZK1Vab93tBvvye4wntbz/a7l9wcB/R4zW12/GQOZAnGrawPB/DDQf2Fsb88FA1FjCvqauNt46yHVWpl6rGH2h44npFo6L0zpNLCIQJRRyDTaqAWx5C2SK3UabKgB+fMmxqjJqxF7SpGXAsHRak5EzzoykXrYpXqjHdtExZ6oV1sTGcTVPypgfzlzSx44ww7cXiBKIpX89At8iA0M09VZx7QRUkukHxEyXZOy4pQRWzWvAq8uliYbCJbOLmOzM1GnbmHRdjh9pC61ufZjC6QdQGpRG/vu+QF55JNKvyDaMS50L+X1VauUyTUmXcs2KhZlBjaKWTGCiBwLdB60pz0A0K8FRWl9sZAIHizR/Jq1J4owjpSfzRVRsTSLnNHV5MYNeGuNXbJ8WwbuYiNXVuQMbB9csHHP/oJKYxom3n25Dmv99e8ur7h1fUtL1/fMsYdU7PIY/EO9Y1JK2P1qFtDUzCE+1GBvK6V6mJ7xuP/lLKiu2KHafLxdA+tI1fvrJFcraNCNEGqrx7vTeRd89zjhh+uOWvYIPSo8LWIERFaXfDa74DeXJ0aCzXaXiv2Trwaj19VrCEMidlVfGu4to6cHUhCZC3WjFomfgPOrLJEPVoLMUamFkki+FIpzZEbDHGlhwB4vIs4chcxG0LbKLTunTzVQhFlEfOWTq0yYABHaRXVxpJNcDuInWFelHYwbUF1MDtYRMm+ED3GL22VEiwVUXHMrk+IKvimxNzpXIOJuJtr1Og4kvFV8A5qVrKfbDzvIrWBiw7novHPszUuDiU6oUmxSY1zSAwUB/vxjN1u5Hh/YNicEbUieU9bPOjCIMJ5SLy7u2Rwyeg62jhoYXbKrtODajMqRoyedg++BNq0EBW2fqXeVKpWmvOELvpDH2gYa1GXxJMxyspCo8bOte/3+kot2G63p2JubbxWB6ybG0OAD4cD1RVcUsYgjEFIncs/hQ3+/B3k4h0Od9cU15Db1zyJEX+cuP/4E+RwQJmIyTQXm20ixEasmdgKy3ygtBkZhCWag5iqsiwzyzKxk8bubMPheNft6+x+1OBYVtOB4KFWmh4NwPC9Sa/WEIeQCN6Re9NwqIXddmTKhfPdhk0I/OLlp+Sqll+A6+4vjW0ccKJsBwNVX5cDGcErp4b11DROhUrBp4KEgJf/jwn3TC0dEFXm4y3aPDEMJ16piQT+YncL6WNIbYIPkeNi8aj745FpLgy+4voYpNSCa8IGZ1HGeHz3ao5xQPJqmeMRhCE4/CYZT6d3dKELylYFsXWBvnOlHl6fe9hC3+oa1/Gd9hsK1o4R65ox1Tr69nt9vCzi1jZmbcYxvdyesbTKJ1evqGUhLIX93S0/+rMf85d+6y8TfWB/c8U+KW2ZH6yNaqXm0r8TmA+5j1Iqh7mCj7y6OnB7c+AH37pkhxLaApLRGlHNOL+zSF7pHqWsnrSVnDPeYzw1VXKzMX7o7gROFCmQHyE2+/0e7wfjnQp9BK3IYPGxrVRcSA8jLR8faBAnsc1KTaDf5DaGC0OioWwvLLjljjuWZWHJFXfmCCnifACtrEl5ndVO7cEZntUFQ3HRCn6vnmE7UPMMSTnubxkWjy9bYkmcDVYoumyIbFsLHB7Gc2uoxsqNXDmq1il7FNuwSquWMPclS1UxLXiPyW3rXL976qrvBZcVgk0FLxFVC2nx8VF4RbXrEdS4wKxBDP01tUfFfL8XorPXT3tAzNZX+hhNfpisvM0B/LJlqJacUDS7H7pDig3RLTSiFzaIFZNeDH2wqGdFZQ0N6UjGSmMq3atW8gMi0e/5E0VDVwSpI8bKyY1EsFHzyg02asPb/q+PebJrsW0YgDkbWAFo15uu14VIR7Q72iv2+5UDuCJNzjmaA0ePS+88bKWAawbG9dd5mkg93l8wpwHjVho6VcWQ2CBCDMbPd9qpKTFwfzzy4ukGX40q9vL2io8+/gVLMWeHulQkmr+xdO517dzO0gzt9CHw5wE8jwNDTlxPOuXnEWJUaz3BKafPWx9Q4TWgwamCBEL37q3NGipx7nQfriOXxyj9+lxRbN+2+8IasofXaHSo1tYieaXUWIfj1vfTGlKtwVPRU/AOIjSW03M/+hSIMTKmyDxb5LBzppkADFBZLR/FI+JwauP6gFKsukDFIkdyqxQKtTuMqNoUxos51FQgxnQKvgB7LqnWuHXsBhFhKUekW/Pl1pjVxMdNqtnawcmaL3VfZovaduDNpcartW1Rxfzhg/bPpVG0EV00i7lHLiIPmg0LWXEudJGtRzZbnAwst/dIrWitZonZUfYUHCrJ7Nh0piwZBHwMENYJTzt99s45Wm6YjtF42ME/XBcnQOORe8djXrFzFovs6LxiL1ZE8vZ+98Vp8frnGKPlRsjEyk22u9RSQR3WhLWSmVqlSkDiyNQsIyLljFcT0ZXpiNSCD5ZyaJd3dwMrtfPgjbJDFPAG7lUpp/ezaoymaWKeZ/OJLg98aYuJ9v1c7pdLH3xqtU3TiU3vSzUwxY+J3MyxSjoNFx6AxabS6UeVTRxxmLarmuDELEq9P7nD5Jyt7sgK0mhGYEb+HND1i+tXokh2ImwHT5DAx1dX3B8yz1+csUyZp2cJ5xrJpa/8+YAYh2izIYpHSuO67nl9dcecC96dEWTmaj7wXhxxRcEHZidc3x7YbnbE5MAFhs0F8+LYbTd47xnHLWtoRUpm3bbZbIlhMDszv9CKGd2nLuBTHM3ZmMJrt5NyghMbpWzG7tbgHSJGmF95pXZm2c2plD6a6CNDVRyho099U6YSgzkfSOdKhvMXbMZLylx4uX3FL15+AkvhH/zhH/HTj1/yH/2Nv87FXPnoR7/P/bHx5MmvEdzIcS68vrvi9eHAq7s9Gu+4PhyY5kMXHzouXlzw/tMN3x4jYbboy01wvBituRh8IyRwyVGDbbrkTup33gQ6HuOChg2okucDITh8cLRsHqOrx+T9tLDZ7khDpBbzRgzRs7hCbUqdHdttYhsC9/PBGqA5c372AhHP/f09tTZqnQmj8ZyOx8Bcbzn85M/YpoGEsH1ywbe+9x1qrfz85z/n86vPudCZ5+++R10aU6s4HIfZaBnDZoPFopY+kvZEwI3RDkN1iEv4PPH07AnTkqlyJMaZ754deH1MfHR/zm1uoBnPzN4lchsIdcajzPEChwkdlI4WtsKsK8JpYRVfdb8vovjaC9uV/wgMUgyprJas1pzHtcJ9XahlwY87xjpTsyEW3huPtrRKa5XkBnBC0Xbizmkfk6/jw7hNaBVKrnZNB0c+hSOsjSM0aWx0oGY7CJtAbAUHlhgmFutrHr+daiIm1vy9v/07/9R7zz/N+pv/7e8anSN0JL0XzBVFajRLOMlWUCdPcEZtEY0EGXFuWNk0PQylo8QC2hxJLabaa4bWDBnsKLtT0yNUXfA+9aLaLj3X0ei6BgjgTjZezVvT8OBbaii+6+PK4Gzas+kTqxYbQWC8n3j3ex9wucnE+WO2G897FyPXrz5CfGVi4cWH3+Z+Lnz8yRWvru749M0bbo6ZpRoKOnihUQ3xj97SDP0D9aw1O4xVFYpxir06RBzHFQTo1Iql2L7pnCHu4kBiF/Op4lOiYIFPwc5PYrRiLJAAwctq42VIrXrPkvNDih7CKGrOIqWe0uDUuZNf7gqUtNIIwbjtK690PeA1F1rNjMOIIGgMDIsd2mYz3BvglSIkDue2ODGevhdhKgvBQdx45pKpVcjZE+MlPkIoE3YsBAurEjGwogqDeKN5oDQXWKKJbzcyGOWrj6BDO6BSmX0l5jNSE7JvXXCbUW1kUYYAjszgTWuSm+KaZ+mJcyoCpdI6l3vtfWRjjetYTINwKBlVoWTwKaNE1AmbGBl894RGSF6JQ2da+Gw2eNHoG9fLQm6VZ5vALm25XcwRJrJQp4I8fcq9j/zs6pqnZyMv/Jan9/Cb/ilnbmIfC8EfeuG/53C4Z9heMk/K3h9YasPtE5u6Q3YTt3eBm5pZQmPOewaXEC0GjDpD4KVZsR5qQKtDy8Q2JAa1pNzr/TXHMrEZd2yGLW1W8rGRF8fhmLl8EpBhQHOj7heKZK4PB4YhoHgajuOScd4zjhueXT6jzUA2zU9FGbyyGWYY4LoUPmfPfH/gMs18/71vcxGesXEz2xp4CVzXif1yoC2Ng1Su9ndEb4J4vGOuDR8HZGpoDOTg2Y07bva3LAWkOvwibBukWvAtk4LnfsnM2shZOtAkSHM0Hiw2czbrMu880VkwmzjlsGS2l+dcXFxws1yjOLx4NCtalVkXSOFkO/n+03PylMmuMc2WulsUYghIKoja/bRvlYN+fcrFr0SRvCYohcEiBJdaqaWYalENxfJ/TuGfFZpajrvz3uy8JLCfFqalUfFUSWiemKYFUUcaxl6MJhO6NEcgmDYqRELnCw7DhhBSR0FtrLqilKaU96wMCOnG6lUM2zJa9CoUeViPu0bVVcH+CNnpbhirP6ayFkmPC6JOxyB03mnDi0dc/30QLi+fUrRxc3vPTT6itXH18hWffPIpfgMpbgh93L4bdwQJ+LBh2EXuDwf205HD/Z62NIJUgot8+OIZH77YsR2UoSnbGNkFzzgkgk9sYiBtTZiitVHJPWa0UatDWsZFG3E6MXHSiuAVGpSOrGGH4+ovmkI0UcBxT10qPiZDW70zX9imJPGWrKOVeZ46k7sSvUfEmqwWIJ4NtOr5/OU9y1K4rI2cCzhPioknz54Tbu/Ic+Hu7u6kdBZnTh3rIWoAkkWmas4035BmglCfzNs6H2aCHwnSaMsMVdglOBZl4xYmJ8z6dtS0k4CsauMvoMSG9qz/ek1g+/LRkSE4DxHIJz4ndkGKdA5vdx7weFBrYnDSJ2JKtQnX6TWeuGaP6BAPKCmn6Om8+pK7t7mkj/mdIibuwK1879V1wTxvcdqDJ6QX1l+OMP+LWLUbxolLtv+7zq1vDQti6XxiJ3hC/8wflOrtRNfoqnHBkL5maLWTHrAhvWR79LO2PyjalOC9WXiVgvdCFNDVKaWTcdZIcu1OJQ0r0py8jam01iiK0SLExMcgjNExRkdyQgqRTRrssZvxv2MYOD8/5447fvHyJZ9dXVnSlzNv8zXIBDUk1auh4+bAYoUg6/WD0chaBxgcDxvoW4j5FwSpzjlYkXke0L1ZDUGM2nCtnSYb2psbBUKz6c76Wdg1CJTV25rT9e0QNNjr7x8sqo2YPOTWmVMrB1No6pHOqRRvwr6FfHrM9c253ijZhKT32q3Rb0iroztCVrWjzoCKwwWjtJmN3PqhdJ2GPnzOLegpbCb47o+8cuh9pLpApti1qhDcYGiifRgIdo1bw2YTqISSoz+5OjS11xSKnjQc62cHajHXvUGwqVxBdEMg4F0gCSQqO2dAycYb7cchDMGcOCYnLAgaEkurxGDOK14Too0gmcEZ2NLEcZuV0ByXeDQaH/7ifIcve0Ke8c2RWmNAwPvumjDg8I/cKXpzXwu5WiaCi6GHrzwgyTF12l0xTrOJ7wztNh5uR2LXGqKAtmLewi0T4u6kX1oft9ZKiiM+OETrifoQQ2JY66ZlwrjFhc3oSSmaFsFFjveFaapIzSwusohnRvFbz8Uh4JZA3B9RV7tGpFkdI+D8gA8DVuK2kw1K9AGPCSqLNrIWC4fCowRs9/AEecgiKG1NMOxIuyra0y6D8wwxcb+3HApz3aDfG+t9rqeaoeaMtkJTYYieIWxQccTo7Ttpre+NNtESNQvHx6j/11m/EkUyCDc3N8j5OZZ2t5C8CQjqkgkhcPnnuFuIG/AuMmeF1ggN7vM1Uz0wq/FFJTV24Zzbw0TJjecXT01YFbYdxg/UZj6wISach5QSz56/g/eRw+HAdLw7jRigb3C6jiroLgxQfD2N6x4XBKaIfkD0jD/oUJXT/Nk2epNj2z+zv2us42Nvkq0+SnYE+3sF8Qp45tl8bi/PnzDGLV5H3txe8PKjHzPVyh//0Z+Q33vC9m7P+fkFT7aBy8tzjvnAB9/5bbbzzNXZgY9evuTNm1s2G8cHZ+d86/Ipv/XhM3ZDZTx8zsWZ43KMbJPn/MyCQoI4fLKLOY0j43DGvkeV5o7SbGVkHEeWzhkOKFoKOVcS5n+cUgRp+BRorZCPB5yDXRptQ9gbb3hIkTzNIDO7IeL6Dbe/uUZ8IHpvZv7es6iNHXfjiG9Hdk+eMh8WfvHp57yL0D7/lHHc8vz5c9598Q6vX1/x5u41LSaePXuG1kaeZ54/f840TZSymF1cM470QStRHQGH84EileH80tKy5srFJlKaicdKy7x/diAu8Nm0Y2kR+mjc+4g01/mRb3PRVZXk6gN9pGNeX7YM6Xo4pNalXTxkh3Gz8VdXp4Pn6IXibMzenIlazW7eHmNYk9vUhHoW27zSQQz5Bmj+4XWtI/zW3ubgOeeoueK8R4cuuuyPm5BuQ1ZZo8Odt3u0Pq6Qfud34Hd/9yv3h6+91sf5ql/XfwP2Z9cLJW/iPEspqzjXzLC/i7VUPE4Gai3UTtOyotgTxVOMPGPTKG+RLUstPVnREhJtBaBZA9oFNDEFaimAI6VA03JC6WvTHlai5jsuQnNKE0frEeNpjaEWoXVOtxZwnWJhgTzC+08GYr4maOHJbiDFgc/f3NIaPHn6nLOLc/aHA9c3N3x8dcunr+64yw0kMm4DNTdMd9upDmpuRibgeUDiLTxDSONgFO9mB+saY7Mq1s0arDvZaENLM39fvhhUoWQ1TmwuxRoYNe9ee34r1JpY/LIkRy1CzpXSTFk/BH/igZ/G594afN/50OI8IZjQM/bQiGVZrAgPBry4IZCqCSNjjOTOgw7dWsuHTqnp/zlvXt5o58k7j3GWldqEKp4mEbw3+9HabHyt6ySyQU1GyaPh/Wo1V8AJW+KpKQJwPlAdLKq0VKAph6xGv3IOJNpZNy/4KHiqjeydPzmptJ4LioPq8+kef7z/lGDN+RBHFOOvnjXYOmHjlHdiZSONZyHiELZB2Tg7J1wzt4RJhRm4BbI4zvpnP7f1GlK2IhymI7U19mrPt3+y5Xg3sdzfcxGUFoSn90eCBC5KpTjHcLHlvd3A4bMjy7znWO9QXwlsmOpM04q4jE+O2qCINQVVzVJu2JojyLLMqFbm5cgwRrPRS+P7UwAAIABJREFUW91AOvc7+cAy2XSyMoNUdimxTQNzzt13vVBz4Wx7TgqRViccuV83kRDsTJznmVIX5vnIt7ZPGEbP4XBAJJAYua93tO2OzbvfpS2R1/e35LLn3WFgCxx+9jNi2nJOpni4HRKLU8a0wUtC10ZPG47GkALb8ZyW39j0VxYW9nj/tBsmVFxZcDUTdbQWy3GyPzTKitnDee8RhXycLAV1HLm9vWV7NXJ2dsbdzQ1LXRhCNLqECK52g4Rlfe8HwPHOxY7z7Y6ijaUpx2mi1sVAArHUWeLXL31/JYpk15GUVTEpImagLjbS1VYf7Ly+ZHnpf1criiUxtVwpOaPVRsXeOcbxnOOitFoQAtEFhjj2rs4QCy9m7r5asi15YhBhsxlAM2G15encL/u9Pf1brhN0HuFaO6i5KzzGwlwfT6/rLdGKroXyifjFCedQB12tLZ2JKRKorayPDCunNSWePXmKJMfd68+QvHQuozDudoiP5HKkusKxzHzre99jvNtzo1f45nj96Uccj5Wnl4lvPdty7ioh79kGGJMyJscwRobNQEiRKJ6K2bw479EAqVvfNRFEMrTuMFEbeZlAsymSx4QUAMG77jvZCqhSc7FCznmCh1qE+8ORmIspgQXmMpMX+w4unzzjOC9M08Ru53EEorhTqlq42HHYN+blnrv7iYtp4YJKWyaOh1vGzY5hN7JrO+bDkePxyHbcPFjMhe6ROx37mLojnUuxwArnieLwmx3L4YDqwb5fp/igBF8YdCE2j6tnSBXj+QEmBAPzrujX9gmFBOpartbeXL0dmbyuIPWtguF0nXX6kENBpaMPENQ4i65qFxI2Hv1YH5dxujceI5BGMzI6hhUnDe0UqVPnXhtNVp9NTn/n1BCFFaFQcbaRekD1FGFqin/pSuleOP7OFygXj4vY9c9fLHS/7vriv//CY6+cZlrnZiNI8z0uuVMfQsDcBzpa7B4QYUOQzTtk6Zjt6rsd20pbfsyHtQZndUKxvzO+vxNDr9oasNY515UGsqKudr30OCJDdPvUqsOQnYJh9AUnisjKj8882QY2stDKQvWeWuyA2p6dsd2d8dlnn/HTj34OGmh48/sWUO2iHzoy2gVvoiC9uNVm7ht2MfXPChN1Gi/7gae5/ifysGeuaJsP8UF93x9v9fAFsyE0TrlREdZPQ/WBW460Hktt3+nq6S1iwSaoJXPaHG/1fnm4z37prBLtZiZWxMtccN36yz76B0enx2vd+09ninM4MV59RbqrRw+rWkWrj16PokiwC9GppdahlaL+JBiV5gn9abWDL5EeIe8qzZlfbm59AqQWNuNWXYI0Wrd0E6Q7RtnFKo8a9MeTrOws/dRmWN0HuRlKLT2dMDqFEExc6yF6S770Ltk1tNg0opRCVRh7we9kMh404dTYmBC34VrB+ciBmX1VppxJyXGpBmqc+URx4OtCmg/clYKyoGT7dLJ9lV6Mx9s00Oiovord48ECLJpWcpn71Bl2ux2bzQZ44Nev2plcCrkuhOhI3jGs6HUXSK/o5zhsu6+yiWqj86eG7HHyYxoCKQw2Ae9o9vluw7SJpNGEhbl6jrny0ScfEzYXXI4bNmkg+cjzGJAhcpUCA4rLlXpvk2inDecgOLOxFXFobSQfuBgGhjhysduwGxJ1XpgFklQTXgLiLNnUruW3b5OVqtRkzaxo7Pd7Li4uzPUkZ+oKFjrtyVudRqZC0Wr0wVzQUU82s7kU6rycpk3VPTjKfJ31K1Ekr9yu1f5kGAZe31zz7MklY/Tc7Q/s81dnbfvicMFBU6L3DN5zFj8k3x2pTbgc3qOqkJ4EsgscDhMxDAwysk0m9ErJzK7dMOD9lrvSM8U9ZJ1Pm7R98IYg2++V1WfydOCsn3/rdidqRH/8g0AIzMf3mCe0j87WEZ/rPr0PhXK3+3LGbW6tnlA8K3iD8cV0HccPKEZhEJTNEJjDt/jOh7/G7d0V26hc7hLx+ojmhYvLZ2jM/MMf/TF/9a+9y2/+5m9xOVzx4/gzNBz5xetP+cF753zvbMu23EKdeO9yg5xVtuOG7Thy/vQJcUiMaWDKd3ZwxwQaiN1wPe02aK3c3dwwHxrzdG8q1U3EA8E5dpdbVCshKvNyZJ4zrWTQHvgCJuqM0TJAxT5D3Mw4JpyaufnrV1eMmx3n20tqNSu/cRgQYClHdJN4/u47bM9e8OqTl1xd3bDdVeKQQAqNgt+d8e7mXVoufPTRR9xe3/DuixcADOc7hA25ZvJhAifE2jjc3uERNvEFcTOS0xlJIr5WSlkowPmTS6qfCe1AWiBVD7plkemEhAmCk4R3b5vKhxBwtSNFPZ77QVzy9tpEoXQnhfUxgFPB3Ye1iDQGSQwkEGUfEjV4jpNxF0WtOPC6Ci6rOUs8FqQ5RbvquDXb4GoMJ7GO0FHj1k6bFXBqNM1Ds+Bjt1nTxpRtY4uuizAFfGuGeKJfXiCvBfEX//x1CuSvW0T3x2tUogu0UpBmVBWvDu8Cwc/4YP6uTT0lg3Te6xpys75/cULslk86V7QqKSgqa1MC4Gh1jWCw781GruZBqiosyww0sjO6knoTJGvnrTu8pTSqxzV3uh4U25tWmab6THQmpI3aiMCzi4Qur8HPnF2csUxHPn99TYyRD7/3HFXlh3/2Y66u3vDm1RV1Ubbx3PDMOqNejPbUlKqOQES6SJjWGNRoCKUXxKXHD9PTL1uxs6EV47+3Vk9iPOk/8zCxs0N25TtvfMR5QaRQWuVYrSmvsyN6TiNwgKXZfowEnPOIg9Lt3VbxJ8Do6M/hT8+ndLGTrvHh/TWLN4/dWkgSCd5zc7DJmBfX/XAzrvuRG8+5nA5/7xxD2jCmBHgTkOLAJZyLFASlEMN40s+YG5BSnRVVtp9UaJ42RPOgb5xirE3oN6OY00usC7TKbb61AlC2RuVwA23aEzChHsF1Hn1v+lZFbqmM/SB87FsvIsTRru1j7ZQu59EGB/FkMdOdjTauqXhVzlHOxRGksYh9r9udBY2kapZql+2Co1ZcuCELFP8+Uyuo97Q682I78s42sjlWHFtadNxcHdhpZNoFLsYdH7wrPGsTB504O97yKhdE7pGQCSSS21KTEoIjpWje0Gk0AbY327YnTy94+uwJ2+2W46GwO9uQUmIckzmpYEDPbrNl9J7nz57hYsKPiRcvnlLbgRfjxvICfGLYKLlNbIaRVopR07SSUuDp06dsLyIpDqQ4MgwDZ2dbXHyHs+0ZZ7sL9s2a6acXZ2zCU/b5SK4LyDnOD7QW+PGrV7x45xl/9eI7PJUdz3zg1X2kMHPQRloWlmlmyROqymYwdPfZ5ROGtCH6yMVm5MX5OYJwcbnlfBwo9/cUMiIzxzJas278MZw3oWZz0sNIcrdqKwxj4Hg8IgKvX79mu90yjolpmqz2adbUboczlrrQRI365iPDsGGZDtzs9wxnWy6fvyCEQLg4h9qYpgnVNUTu661fiSJZpPtOigeNHeWNHO9ndmFDCoHpuP/Kn5+k2yppxjnPbtiwLK8owTOXyiY4ggTKrIQw4IISXeR8u0Ojp6qJXKIPJ5Py89EM6bVhimRxSIxI87gQusejR+qxv4rWgbCGl03vui1h3gkQ+qjROeNuqVmbibfxmfQiyKuC2JhKVU9KXt8Th7SqXWDeA637Cs7GlxJTiRYPUoqFkDjBj4ELHO3yBTU3xv0b6m1hKjObsGUXdySZia7yv/+D3+Mw3fLXfv1v4LWRD9f85e8/40LeULIFvZzFQPBbkt8SgsNFTxgUPxT25YrtZoN3yQRErbGfJrxzLPMBmjJSWKaZsEw2ei4mdDneThxvrozfHGAYBrYSuO/c2JRGjvsDAYV2wPht1lzVohSBOG6QUpiPB4pU7qZ74maktUpt94wpItoodc+4e4HTifh8y93i+Pxm5OmLc+LdHU994iiZJZi14PnlO9zdvGa/3LDdjchiUavnF++j58rLzz8h6URIgjjYT3dsgqNtM2xgPjSW+3sG73BZeXfc8P7FPYflBuf35vSxCF72kALahGG+orZVe2W0BtVCaw5zHy2dg/jldAt1jk3p1kJiCLVNYvWt4lpEabGRpwNSJ5r2Mak3vcBarJT2MB0JRRmc2TVJCEzZkHInPS7cCZrtWhVRXOiFw2zj/TUdr6H4EI3a2QqSGy4a37Fms53K6pD6gH61qG9NYP6ZrS8W01/88+MCHKAWqjaSDI9cKSqtF5iuRjwDgrK0wjYObOII3nOgsnjjs6MQcjN6RVDblbNQqRbP3BXwQc5obQEWaAkvW5x7g5OCikfCiIqwqTtrriVTyDQ5mmUenlSjKdyloJKZ2gXOBebjjGph2HpK8+zcnqhHos+oD9x89hPSJhJ2WzbhHNzMiycbYkr4FLg9LLy699xMZyhHtqGxNAuzOGIJpBmhFSsihyjcptlsoMymgUQgqQnz8iq/0NVDGyiVQRwlCMeaGX0y79lO4zLtSGNpfRAiEMUhQwStyOIYMGoRtVJdJqbRuL79XshlMBcdZ3xxbYU07FjnJ7VTiaZmFIvWg6KaA62LWZnOCzThwm/R3CheyT6SxWyuIoW42VKWmQIW29xa5/5HSnOdxmE0Hu0zpVaFEgXiQMsjzW9BN5Z6KKNNGTAPcJURzzmumuXh6oIkXmFF7D3ooymUrxZm5JOnFCtuB//OWwh3a4X7J56YzxjMbogiSimLTYR60+Gictd51/SmeCvB3Cnw3UKymr2dcyyhWFy6CnsPs1fGxV7PzVw5GyxCvi03eO/ZDYHghOCDaYWip4ZkDVNV6qIsMaM9eGJTMFvQMXLMR9J54PhmwbuRcL7hunnUjaQo1P0d+9lz1pQmnnsiu/NzfJ3weWHcKvGqcBYTu1rJRThPHvKeFzFxUT1HH5kyBL8lbLeAY5DALMLu7AJw3NzfsZGKGxzbyy3hF68YS6WlwmabONwKsQpnu8arlzdIfI952RP8Flcro4fnwbHVnvInjnc2O26XmRfbHTtxZGcg1HG+IxXP8M53SWmkHQ5oLpxX5aAz4grjs0teHxtRNrSy8OsX50zLkfnmYzaXl2idaPWOXTVL3DNdkDJRQ2F2hSdjZLwTnoQNyBPmjef14ZZZHZvBUbCIm0bFxwEvjmOthAHytEeasHMbagvE4DhO97QmTHNmJwPXzWamRRrRexpHEEtqDjHhQ2BZJvZJqMeGLAuHaU/DwNMpV2pVgkSGFrj5mseC/JMQmP95rbPtoP/+v/1X8CLcHyZDjFxEW+HJLlLqwvnFE/7Hv/m3vvTn/9b/9ndRVXNaiIHp/o5DPvKLV69AoiXSVCgtQ4js93uGOPLs/CnbMytoURM5rDGRDuvkrcbofpt0cUIfeyqcREpGolg3k47JtGa8WjE7p9YMeautnVwA1Olp5Cys48OHoueEOvfRtQt9bNVN3kMfh622P7VWMs0ibPPSR6kKLiG1kPd3uPvPGKks+XM8kV/7wXfYvbfl//rDP+H3/vDPOL9I/Gf/6X/Ob3znQw4//xH71y/x7Q3RNS5cYxc971zsCBuPasaJcDZGUooMo3S0xbHUYqPVLgK6vzsYBeYwk+eF43HqoyQbx56dneGxrlJE2F3seP/993l9fcMyzeYPejyySQNCY5rt/427rSF2rdGa8ZuamEimtYYfUm84CkMMDMOAlj0HLtCi5OmIjhfc5mfc7F9zEe55loR33r1gxjGOW4TANC0sy2SH/LCxGz2MOOdY6pH59oo67ZFWmUtGwsCT999HFI4311x//AuoFdrCsNlxq5f8/Krxf360Y19HDjxFgbktACQnZF2RISyiVgQphhzZ9eYQHP/Lv/uXfum++E/+3j8mZBsdr7ZjD+JQG8MZEmfIztgWyvGOn/zwDzjsb5jyfb+yg3Hj+nUWxRxltuIR10ezwV5LXcMwnEMXtQPMKWCpVRYQi01E+jh0TeirXei3oqzrZKYUQ8G9DwzdHUVF+Pv/1X/z9TaYf1ac5W/WN+ub9c36Zv0LXU//u//Jmt9H7kq5ltN5IqKUyRL3wjigAudnG4JPSHvQx/z8j3//91X13/yLnu9XAkluCodjJgbXVe6O/XGi5czZGGkt8Pr1VyPJIYx4MacBxVPjgOZKSufgPeO4w2PxwffLgm6FzbA1vmDPck/dBkdro9bG4GN3R+iILo7cao+EdWhXBJu3a4ct+qSplofiWDqHchVggfkNaO+uFRNOtU7mR+Rttqesn5H0on3l4hkvdLVBEukhCyHgKCBdKNgyTg9I8QjVvDWHAFq4eXPDMGx5/q33+OjVT7l+fc2QB958PPN//N7vcfxXvs+/9eKM7z4daQQ2g2cTQNtCW67wmsx5BMG3LaFCOyg62Ah9CB4XPEPqFngamQ+Vqzd7pvs91/vuDkCllaULMyo+RZoKV69uGdIZTYV5LixL5bg/0gZlHCLOmadvXkwo1Zrx6lQV14vhEAJZrducl4JWs7xKUyWODr8JlHxAXeXX//W/zkLjR//o7/OPfvpDzs4yLkE+FsbtBZsxUHJiaa0LqxxBzZXAB8EPm86yU9rRBCN3n7wipIiPDh83HI43qE6EIfCb33/Bu+8lPp9uuLrf87O7SHEJvBWljWoqBx5EoKzc1tXwkQdg6IvLgmo6ivSIC2uPo6eLS5zxGb2vLG2Pki05KtsDnxLHiv0qKdlInNbTCyFIYvWRxkHyjuoq3hmyrr3Yr533uDZOpSkUxTtHiA+6BBMG2vN5Me5tCOaYEnzAf8V7/tL1TYH8zfpmfbO+Wf9SrKDeAtTig4HCZhgRtQyEOI5UsTCxUozCentzzzAMDN1WcBzHr/98/7zeyD/J0mbkdCexF3eNpQvvzMbKcZy/mpMcw2Cm3q0wa6EiOIl4H5CYLLISIeGYWjN7mpjAObNaQk5oW+sK5uJM/JZ7ZC1Ay9lm0K6LpR5Fv9JFUEAXqIlVL05PNl5rqABOuqlbF4LQfZJP4rxH7hnrM0g4Ic9iJLIuuDLRzirOWbmeDzwxS3uqZTF7OGloEEsQXF+ng08//4TbuyuG6tmNgd94tuX9WLjwR3bOIpydNqTZwMQlR52WztvujgUotVRwGRc80gpahOQ29ly1obmw7GeO90daS8Rkeewao6m+vUeLclyWjkqa2tEESUrOley6MZUz392q2cReanZ5q3vAKngg+BMiv4oDtk1pdaG2heBNSZ7CgB8S3/7Nf418yHz2+iPeeRaorpHSAi4gwRwIcp2gVnzgxNM15xGHwzj20hptbtRckDjih4TERMuFRiBn83d859K4uvFgvqGOiODJHentF88jgkHr14jjq/jI0ItqWa+rfh3Z0OT099LpE06g1ZlWZhNViZwivlWNL+Z6sS7Kg1RJ7FozlqRDpHVXrHpyfFg9wLuK6/SeTiEFbY3k7hObbrHYSusWcB6RzmkcPH/vv/yvv/I9f7O+Wd+sb9Y361/e9erv/BcAfPu//59ZHWfMxcqCgcwtzJ0MDlADz0qpZrvXdSFfd/1KFMlNG3MpeB9o0npoASxzYVlKN5v/ajWiKpTSo6uDp0hGXGLYnBMH8xEUdaTaLESkFfJSTgIapduTOWe8QO+YjeTLouZZqtIYujk8jygRZsnzkMoDWJzo6uvXMO9TVWJ0J8ssuqJ/FWquP+3665FHvwIsS3kQSIGJcjr67LwV2aWaRbeV9QGcR1TwWlm08ObNa8py4Afffcr777yPTtconsxCrrd88MEl/+G/8xu8e7Hjr3xrw84tUF6y5ANhOjNHjWDIedEFX0bCmPDBUb2yMJuNUM3UfORwc0PJs6U0ece8VMqsHN/ckw8T6cUlm01iOdwwxIEyHZmOC2EcoAl56SkAqqyewMtc8GRqLrhgF3tyFsFaSqHUhWVZmEtm3G4Yx5F5mliWxdTdzcj7/u417t2R2hqjLsx3V6RWSGfv4C6/zbPzD/mD//V/4PJwRILSznpuvYJ3A3nKVIXzi85h1MWoEeytCQsBDwxDZJ+zCU+HhIZEVU8LI0stpB18670tx3zP88Xx5m5hqTskRKSC8+Yw0dYCVeiES9edDt52rni8TFgUTtW1dK9K7Y4Dq5uBoGyi53g8cDjemsCwFHPffoQgp55Cpdg1K05Q30MwKkjoquEey4vzZtWm4L0FYSSpIGvalj1269f5Gipxskh05hIi0ptMV3/JN/qb9c36Zn2zvln//1tzXgjOo7VyXDKpWwaWJaPZrDCjt4CVxth1S0ZtPRy+GnT94vqVKJKpjbI/MlXFE/EYST+lLS+vD2w2G8R9deWfxcb7rVtoBUbKsBB0iyOS4qaL6ASnhUE8LoY+7u3j3xBoIjYs71Y3YOivR9Ei5hvbzBprVSE7vyqZ9dTV+NWDT7pZtvedexnQola4OoHoKbWeooHN09QRKDRcZ3Fa6EAL9jqDuv5rhxalMWVwThkFI9I7JWjG1YoifHq3ZzkEar5nmt5wdz1xOZpX9OfXr9i5zL/64hmXu8C7l5Hd2Nhxi04Hjgcjvtc1CjMvJ6sg3B3Bn+NiIoVNF9HMLKWQiwlGRj9wUwWWTLmb8BLYHzMqEZ0P1LoQvaM0ZaqZ6AbubjP3+5lxHNFioo6421BzoaEclpkhBTQvbMKG6CvVZ1wQau6CSxcI4w6XEqHsyUW7H+NgKXzLhrCYRY9vI7lUbm4/4sP3LijDBfriOZsPfouPP/1T3rsU7q8/Y3PxlFI83oP3Gfl/2XuTXluy7L7vt3YXcc65974mu6rK6pJUkaJlkhZBkzQkmaAF2IAAA5p64KkBDwzDH8CaC/BY/gYeemB4aAGGBRswbVOmWGKRLBarycyqzMrX3e6ciNjN8mDtiHNf1suyPCvCjETivbx577nnROxm7f/6Nyrk6WQRpnvPWCr14pLp/o7aCj4ItQpjGjnd3ZMziEvsI+hSiDiSc7z9GG5uhdvrG6o/MMkFxUV8fQkyGHdYFddMdLNSHJyzQ0T7gvOjq4JqAFc7DUVoTWjOxkUIe0QbvmaObeJUFu7yzL0WSlByNXuumnynStgVnY09aUr302EUhXmNrjCecRmkO7UYFbtqwy9mb1f8bOMoJIaelJZ72qIZ8GeqBFwzuoXDxHDa3hyc8jfX31x/c/3N9TfX/38u18zLvXjpVFvMBSc4JgoEIQweJ4E6mz5rWSyI5SJd/Bv/nl+IIllEuD1N6FJI+wsudnv26YKUCsuyWHHxc3ztbPM3dEy7r2qtspm7z/PcaQedg+xhdA51wtJV+YbMdQooplx+GPphNIgHreLVwql12gI9PQvXE5fOKTEWONKo3Q7LdzRZm2580VWkpM0Mr9vmvWpJQ+s/63X27rQUQIsXMBP1XfUWWJEnapso9zecWPjsx99jpKLDe/zwk+ekXSIFx2XyPHn/bQ7J4ctPcBluTw5tAW1PEALNvSQEM5Rv1VKExl1imgtLhqUIMQzsDyMhDZbAI4G2FC6O91RVrucTRR3HfDKkP3Rj/FrxOFI8MM2Zaa5MS8UPymleOOWJeZqYjydiGkgxGnLpBO9HxO0QMUqH97nza+355ZwZxoGULDUxxsiyLNSgnO7vCc6xPzxl3Cc++vN/yeOrA+lrT2l+x2/+3u/zL/77v+Anz17x9ceFm/qKYfeYcjp171hlwLxXy7ER0oBvQmsjZVETbIrDj4mrcWCaFgrK7atrUnC8urnloI5Hj7/E08OBu6sXVNd4ef2MyoAOiuaGanelUEV75Klg7J6q+pCH8dpVxZmnsNqhzugSodv9C1WNE+5o1OXI888+4+76JZSMNMeAWQxUYSVX2Njr5hg2Bntgg+96AjWrsSY2ttcEulVcWnvURexzyFdDye3znS29zMpQu/WWINpQUfwX+KX//j/7bzbxnx2SuvdsFwOuVlspGaJdStmEgqpnNN57T4wRle5bHIKFrDSlBLMiK0vGi5DEOlFLZ0gty4RryuADEgNO1DxQ1bGo59H+it0v/zYuPEFnT9g7XD2hAs1H60j0z/64znx5v3ARZt5N9wyD8PT0A3Njcbek4DjsL5HkKKXRKjgXzT6smLXa5aMrcp5x0VGKvW5Mg8VZN+tGjIdxmycr/arERpCRnOtmY7nkPf/L//7H3C6OT+8CH/30Ba9eveJbf/vXePubv8IPfvyMyT9CXOTDP/s2L559jHCPU/BNcDGZVVqzHC4LA6jUfshrzQaUY7WlO3fnrIMW8WIWWkUbcTdwOh1xCql7b/touhIL8TDqTgihJyM2Rh/xWLCKUbJks3RbOfvzOg66noTWaCVvyWdFzbtWF93W4arGoy95dYt5fa+a6ox50AilVTR6wrIQ0migi7PWsA9s8eHBWes4BZA4cnGZGLxw695hchec/BMaF9QgeLHntfoSv+aJ7sFXsyG1u3lOG6tiaavdpOLsL+2F1tb54XrYls2tiuKb3wS/4uz9LsvSu0zdy1o8qeNaK4BUa+3e0+3shV0bSYXglbkaCGKZBQZg0de5db9L1bQU6/M+5RsOFyO//I2vkhxM989o0nj/m18nUFleLTy7ueVPfvwD/q1f+oD39m/z8Y8+5dnxnpt2wzfefYsv79/j408/4eObz7i5v+O3f+M3eHx5xQ//8kfMbeH5i0/45pff44O332V5ecN46Xn+4Q/YD3vC07e4vr3hx89veH57x5c/+GU++OADdm6kauWHH/0lH330I/7Ob/wm4zjy7KNbru/u+eEnH/GrH7zP3/7W3+LF81s+e/6CH/7kY66vX/If/qN/yAdvfYW/+Pj7tFK5e/mCn96/5Pf/3h8Q1fOHf/htrvPEd3/wbf7h3/8DPvjKV/nBX/2AT26u+cFf/RDmzO//47/PN7/xDb73L/5PnrvMYyL3r655+1vf5Gvf+IB//Yf/iue313z4lx/hDo3f/a1/hw/e/ip/+cMf851Pf8zLTz8lL/d841c+4A9+59/n7tPn/NlHP+IDnnSvAAAgAElEQVTlq095/tlHXB52/N7v/C56N1FPZoN6e/OM29Mrfv23f4vd4/f4znd/wMcvj0y1UE/maPTi+pqpZFoPAhq8I0YDtkqxei8dRi4PF3zta1/n2afP+O53v8vdf/Wf/cyab533Pr6cI4UEQZmadZmdO7/20i0kvTdzg9vbL9a4ff76hSiSVS2nu7lGTZWAYyeRECNIfG1De9PVWAM9LKSg1h6d2ZHlpVospG9nhf/qk+e6j6yufOL+mm7Lkj4XyqrnBfBNRfv6NSdyXkRE2NraKlvaTpOzFZGcNVRULH1qDVYA8y9Y38pWnPf/533Y4llLy1ZECTSp3M23zPmGudxxe/qMy13jwgXcaUbnQovCOO7I99fEOlFzJTZLpVqaIiRUEtoKwZnNGrJGdCpLVnxTVApZBe+rtUAGS+dZ7k6UeaHe31HKwvF4BAnk0vABSq40r7hWqFVouTHn2oVxjYN4/DBSThPzVDneL1yMO3NbaM0WZImIC4hP5qJQzXaotcbxaD7MF22PiMUfC3ay3D0auK33hD7+mhZGJ7T7FwxBKQ7KsOO9b/wSLz/8DuKrIf21EARO993N/qLg1Bb76nU7tIAznm40M/+mjTgk9hcHrq9vke6vqjUTRRi8Yx8al0FJbebUoIY9TtUsk3CgxaJlWzPKRLN0Ov3ZodjHiIVYiDicFlSNO2++qoKieDUf7poXpvmOWhazQaztQfH9IOTmwViXPo4tmqKP2V7QCkJS3QrQNYbUfJHPb1j6nFObONt8MYcZwa8uMJ33v6Lob5p7W2gJ58L3NS9gzqb7D6+HQQ5rsdQ6d3r1MZaH71nWiGWjtJS+6bfG9nxatgOIUVbaJvwdmgVseG8Jba30sVJdTz2siMClP/FO+imP/Im3XWHUQOQWXKa1mVY9aKEWwYvHh9CNwjynfAQglZlSC7txT+yH/phGCzDoh5c4WFpXnmajpYkQo5JPM/P9EdcK4xB5fJn4B7/3LV5eZ/7lnz/DL4mf/HDhw+99l8fvfZMx7ZlL4u4+My+NXHuwhJrQEqxAK92F5yFPXvqhC23WYQNa56vVZs/S9VRR1O5pXmr3lBcb/yJUoacUvj4hYk92WYWjVcH1g/Rr47nPUxOPCr4f8mr/WsWSHm29WCOnOce394hxJ+fo9e1PsfK/9TAV24q6gLXzqD6/7ts9M4ik4Uxj4gNK9w3vom1E+2s8BGzWIt5SzdZDtXRFtz743DjwPPDN7p/NtAGmhaldUOtbe6AUbttjXKmLdZ2Hcg6L0FV30GUUDos89j3y0DQRzQJPxKxMvVjohH0GttcSLHgGFJxZRHoXTK/glOb7Pu2d2fzVNYxDEALeRWS1pXQBJHQqWMBCx2LX/3iKFua2cMyVWQPqD9y3FyxZaGL7bjme0FIYPYxOeLTbcTEO6Bwo1bp36iyJdnCJVnsuhKyR4rDURsEsZb33JLWwrZ5BQ6l1A960CbUL/RFvY7s9PIB08MFHggRE7aZrs7h6UaDY6xVMeB5CJKXBaqCqLLVQHRRRJCbmWliacnc8MS2N4hOzSwxP36W2a6bTS5r3XO53XPiF0GbK/TWuLESBRT0LS39f5xhu1JJF8c6yQUpBajNP5pi4vr7m5v6Ow+HAHT//EhHTQSm4uXQgSIm19bnF5j1ue9Bfs8S92pTr+xPqA6RHpCTMPpgJ9yGSc+Z0On3hzzddJ20/ATcHhC52qh2PDZZR78+8ytqU5AdbyGrrwq91kTUUmo7OOicbL/r1TdYEfrCu+1YMo+e1xMzlpS+UlsyjQFUIvWWwFT69eHbRssZXhHtdjdbFbS2MpiUTxUzvqyjVF55NN9RauDn9iOX+JTs38Y1L5XAYuHSJuMB9q7z7eM/bTw7w6ic0Tiza0HKJBKUOE+oKpT1HmjK0Q7fjqpjTwMA0m4G6eChZIBdSc6QOW8zZatapx083deQqHGfjaj8Okd3o0WqxtadpoThHxlF9I15cMWsDiTg/MOyEmAZCjISh34AYKCLcnyaqFsY0MIye3T4ZN7qZGC7n0t97Zhh2zFMB8X0jLLgQeeSVj/7q27z1q79DePKY6gd++Xf/A77TKj/90f/Gbkh4f8flLnF/fWQJjqurS/xgPt25NNIQcD7iQtxCNZwqKaXtMDOdMi0XLtNuo+/s9yOPYkIH5Z1YkDyS255STxQfaJ1m40oGL6vDMSqvb6qvzYsQkbpuoOuYdbgmNHEPCtjC8fSCebpHNJPEUiurnu0Jt1McXTDJetg0CWppnaXfEX5pbEiU9AJg68w8eMu1NRZvG3xyrm+aVhm5LrqotdEEi7/9AiR5nZNr4bMVIZ8/1HYPZ4sA7umepW1ph43GUpaOkhniHJ3f3odg/t0OqNPSi+RMKzZXHUItUCg4YUM0tEr3uu4HcW24Jig7tCm+LYx+4au7idE33gkf8yX/ETs3M0pkkB330SPe48PB3reLBJcptdsbDolhTITDlR0Ig8e7ftCcMz6N4BxFBEJAVDlOE845Lq6urHjOGS8DcRQO8RFeM7WeuH7xUy4uDjx+f+BXPvi73B8r/+D3PuWPv/1d/uJP/ojd1de4vDwwuMjH0y2UTFHIqvhoz7Sq2j3ooMBG4BGzFPRW3tlz0N6Z6B7Rq01nrRW8Y15OpBQJ4iywJnhmrQTxtuk+GAe+WkpYqxVxStxZcuaQXC82bYcQscAcEbbEL1GjvFW1A2nrBW3V3N+tN1rS2gXBHI8MnTfhcIivH7AUcN5bIadr0dmR63VydCG3UruQVnvnTLqftjf6njdNiidQHk4sWQ+O58OErNPY2YGlNd0E5PZ1wYm3jugat40hbxa9bVHgypqaWamtsAYCbQV6pwnm7nHtexpf8rELq2zNQxwheXQpdrj29r6si8uWmPhQtOzGROne7z44fJ1Jac/oI60u/aBuceLjMHKnM43AMFxyuHwLHxLiBZ88iR0xXuBdQgg4iaQ04v2ANmG3O7BkzzLcwf4Kt3/ET08/4nh/iz8pX39yYKiOXdyTLj0XwXPVZtzdNUVH7u+vqWSLkc/CcBjtIKVCwBOGkaywTNkQfe8t0bc55qXQEAPxmuAl2Ejomg0FxAeuxj0Jh/axpmIHBFFHK0ry1i2udwuZZt3bCtM0kws4dYTxgB8PHHNjUuX+OKFNEBfYHy5ZciXXyjAMvHzVOE6N3X7P5aP3mXTPd77/Y063r3g7Nr765B1effqKRW6op2wI8mJdQBFLfXSqRmFVhdgNCXp3ej6dkOrZjyOffPIJpTR2l19Ajeg2omLtjO4xpsTYI+9X0LIptRWCj4zjyOk0U0t+82u+4fqFKJIVG9RahZobUj3iB3ARldAf/M9T8ffNUC3WUvqxubUCsop/PK2pheP57maxtaXWRcw8ZzusxcO4389vtp9HKzbUScwVAMPweGjWvnoS2GIIKudY6zU9yhbGht8SyQzNkKY/wz1dUTxpSqORWahamO9vKflEKguDVHZtYaeNSxEOwZCt3UVkH5Wdb5BPNJ1p6ihtMjqIOmpxaO0tTrEh2Go/xSu0UqgFU3F56VG8HiWDNJal0JbKsRS8WChErsJpakhemOcZHyJSC2VRSlZa8kzLzO5wwcXlFbd3R7uX4hj3e6ILpBCJB0vxc6ELvrRAtZhS19OwnAcfEiXbJptSslZmCOTQDyC1kecJPIy7gWmpTMdbhvEWF66Q3ROevv9Nvv+d/5laGmmIiFamXKhNOS0nkl+57HY425BGFFdsc9dqVJzV0aFMCzkHTvNMmI9UpygTTmEfAqN6XJ6M9+scKgFaQ5qSXR9bch5Xb5wX0pHY3up123u0TUuaFX2iUGqm5hkpmaIWoqMuALKht+dOyblIlr4w+/Wg6GwhFCfUuhDCKo61RDRnoGv/mpqn9/bTbAhy64XLikLrJhJ8M2y+onYrUrzU8jNFsohskbAP561z58+2tpylo2/mdGMIhfqO6vXvof8+27g6TaTZ/HLBr9wttJ1/ZtMurJ0jVxEa+zjzyJ/40vCKvcsc5JaDU4bgSbs9aThwerXYs3aB4K2oVIlYJrCizpDDYTBv0BSTIfziqCoEsYN6rtWei3e0aoFHISZUmxn2aKFUpeXCGMDFwLh7C5HMNB2Zl2cM6Yp/73e/wdfeP/A//vO/JCPctDuSCFEy3jWmxQTYU23s+mFBxKgF22beiyLfrPPmxWwt60o9c51O5rLNHa+4aO480Xm7B3S0qDc/rJhbtSXdweVhodULuvVAtT4TVQs2KQhLp1iY3WIvkFsvTj43BlXXLuP5a+vr255g89X1A6A4t4m1H36/tjOlzgoKwVNxUgkOgoB3jehgetN850y12Ma+2v6yimMb4LvjUm/anC9vVKieOGSHgS3Mqt+r2h7MKYvFfnifndq8jniK76idleF2gLGfRBvUdS2uDS8eUWff6zxet7SB88EScDHhMD0IzkEXbXs1PqpHTLD+4Fk7H4lxwPtArnUTB7vo7WuLOR4ZMr+mYTpc8zgX8S7YvMmF6kZyR0c17QjRM00nhhDx+x1BM5JPVBrBVUx9DeM44nC4ftAXHCkO/RnZ/pCLaZGcj1SB0sBrpeaMlNadtxTE924lpBg3gGCrLfq1ujuFjtYXFJ+MtqQVaNaZIDjUB+ZcWLoo3DoDgXEYaLXSSuViv+dyv+P62jP4QJLIXRPm1rhdCvl04urRgUfpQNZGSg7VyWq6wZ3pPKIIzsagyrbHrfkGl6OlFL68vsH5SPiC7uE2b/p+0poJ81fKkjrBq3U0vBd86M5freF+jsbt89cvRJHcgLlaqZoXZZqLWT/FQBoPqJup/s2bI0DR2FfHvjFGx3w8EYK3IlMXvK+4JVIHQ3V89QQcLVj4ARqtr0cBadQ+4elomwDJ+Z5mhBXh2oNH/Ea+AiBIv619Jaw1U1GSOy9UAA7tp+reHuqtuloqrX+WNRo7ekfRZr6yIhu3TGMwpHZeKOWa+XTi9vghPp94Pxauxso4L7gCcf+UUj3H+ZrHj/d8423BcSQEoEUz2taJPFeWkyLe4dIAKEs/pLTO+xYtqHoO0dCcgOLUWorzbEbeuUJWCDy2tpfs0AhExYdEPt2zsGM3XnDME0c/sMyVu5sTH3ztfd5+fMX1/UuzhJsmhn1i92hH9Z6lVEDxzeF8I3lHDIG6zMyt0OrC/mBRoFqFIVo6l7k0REjKEA+01ri+foncFy7TewS55tmHf8HbfIn0FWEcA8u7H/Cdq2/x0x/8K37p3T1HPdAEjqVwe5wYG4xjpcXAdH/C+YiEgZYzQzArQ8GxFEOsX93OHIZAmRspFD7+0ff40lff51hnGo2vJsFNE8/dFVmF7CNNC7s4cVuFUZK1dzsS9EWFo7SZFhKiHs+KDFmELs4KKe8d03KP3t8RVFDxFAcZRcrUN/vQF6GOLHvF4XEq7NRb0eNbR83s8DJNk7X7MGsesy4UNK2t3oBTCNqovakcXDDUtgog5F64pDQAME8z9QsOy0vtiFYM4PpYXDfuXtAPIVoB3xQt1Q6iTbkcDsx5oaoi3lM1451sHNOarcXbxqPZRlYQdfgh2utIos4zwfntoB6CpzplLvZavggXy8g4OzQ4akyQlXzpeNfN/Nv6CXvueSQf4vMrnhweodqYl0qIBfUnqhZqqVxe7Iw3TaXNmV0aOC0zx+mekDySITTQ1tiNI5IibogPUEErkL33iI92KMCKZO+Mj+21EkLcOHxDLLg4MIpFhud6x90n1zyNkf/kP/o74Pf86z/7IT/44cf8aX1BLRD9I6ovNO45+ZE9jqTW25uxaN1Smp0lnLWREdedm1a/+D7menHmBzvoulb7s63mAFMb2jzaGinaepz7+BV/YQlvwbQf81Jx0hA/EwlEcZS50kqhhETVxpwXc5RpjqhKzkIIxiEuVETjA3S50lynBIjgfOfd+sWQXI2omnVo9IniPUkSuZYe0S1EcVtLOEaL0YaGTyMuJnY+MHph8Q6cIyyeGgISHCqNXD2IxZTjLBG2NHjUAtkpxTUC/TBbAwGMryx09b9xtU2kXlhEUacMGrZ73lojt2wIbz+w1r4frMWzE3teHrjyyahYzvZQ37ppZWtE4qZDcMNAKJW974CY2vt0yJZwiDf6WlWHC3b4i8EjdcSpY4gjQuP23hNSoKDEBjVbwqNPniDCqJ4lOKYMqTkuhx0pR548eYdP8gkviYvDI3YuEIZEmyaeDAN7HCeBEx78yE0MTE/fYh8v8HfPoUy4MhPKTH7xjPkQqE0p1/fEavv1Itl0FbvEkZnH77xlgnIXDZJbZnKeyeKYpNHuTjx5dMWnGJVgkMjNfIsPjThlDj6So2d3eYknmO5CGzEGHvuB3Sy8cs5i7mNiOc7sQwSnyC7ga0FcYkfEO0cePDqMXEhkotJUeOIuOaQd1zwn7Q989Stf4/TqFV969JiUYCkTzu9QueAn08xOI7/y9mPC/VN2bkH1T5EE93VBWyN06tq0zPjgkRTwPrAs5mp18IGvfeNrnE4n0lJwIbG0N1Ntd8P4Grix6VGWGWpGXED3B6pzjLsrBu/RvBCD/vUrkqFztcjnU56z1DY73YXt5PRFl/R2kCnjy3byPSO7Z/TmLIjTrghwm2DPkg+sZbwWvfYz9hPShSRt/eIbLu1txYeli9PXT3nmYcuGNrQHaIY8+J51o2/r++oo7vpNUhutFrRM1PlEy/fEOhMoRIfFBnuH98LNzTW7/SUffPNr7JIishjHrzUeEkjW9jgi0FbLsJ99/+ZIkMFb22wt6tdW5YqcnV/TGf9U103EfiY3JVc1VAx7dipYVjt2KBiGgbEL8AzVqR2VAmrDxUAMAWmVplYwrWKSXKwg2IdoY0QceS2qnBAHExVN87Ejexg3t9ua7Q57rh49Jh8uzOusZCu4S+V4PBJjtHHrO/+LurUKVUGdxcy2VhCliwlgnjMiMBxG5uNkyHxuRA8pKXo8Ud0O1ypotbadd7bRiCEta/fhjXNC1zb1aiHXPYz76Tv3ezUtD+1wuoBU6Xw2ecC0WDmI0qlB0mV4dK7pmRfsvYdON/n83Ni+r38tPJgpKzlqLf4fjrnPc4kfXiuvWFWRdj7YrnPLdABifuqckTYTdZjY036zITAhxW3slmIxrE0WQ4HUkMroPC0IObftM6FKFcW1to11K0IdRY9IyGgw+0D18B4zT5nYl2uSnohhJvTwm5TCVuyXUrnYG+UpeCsGQ/B2aPDnRNB17rgQ8CH0w7kjSHggZjUajPcmRPTeodooJW+H8pXWslnyrTQ1AaVb+Ekx7/Uy45zngw/e5enTkf/1T/+K+T4z5YWlFcb9nuu7E84HfPRofw7aBW8mGjvzYW2Idn7qarXZ+bdnekS/t6J80ah4uB7Z/iBn3rtI11gU45eq9fxKb8OaiNo6LRWlVlAKRRuqleQEJ0YXQoyWwef2KBtfYUOIz10E6SBIp1GoUfJaO4/3dW1axUYhBGIQohOSU+boaGLIvDiQZn+vnSYkYt0/FUcTe95N1ICfFaaR/q/a+3f0Luw2r93PHMCdO8vIkTPyrT0ETHpR6xQCXXCM0nrnVugAMGcxnpM+f123kASkdUpK52/Tf941odJ56tu9sQK6dCqOrOmrYvtN63QWO+QLwUWiT0ZTxHNqlawNtxaQ8tobI8ZIjJGQIjEFRJQhRKIPRB+YFO5OJ3zNjLsITghLRauydw6XRrw28rx0CqCti7UIeMdSK3Mt4LzR9B6M6FortWacd8zLwlIyuX8O1/3kS6uUVhFvglSnAiFSHnSocz5t+QGbOFQcLhonG3XMufS5YuPSmtyV1qqlBDcTwIooSmWeZxPBr9Skvp5eXD1mLonTNDOVTBYDDlpTnHiMLj6Ta2Y8GAU2xojH3tMYk+mX+nh7jZ/34NosfB/UTgClmcBUUHI1jVYQu1e5c+vlrxsnGR5ucqbej2EP6mk1EHwifpE6CbYHtJ5iwXiDOVu8r3fJBpvvHM6+uKlA1GCtZe1FNYC4c/vImSAghEgrdeMVOnFUQi+kNxsLwNoaNCWcKVX2PtaCeB1Qzrg4G+lqnZtdLHFu24PTHdYCK/1XmcCOXMjTDWV+Rbv/CK8zX9J7Blc4qMKUOdbMIQ1869e+zpMnT7gKjjzdUY4znWxJ3/q6WECIq/tHnwCkaKT7zllrrXF5eUntQjkRMX7mabaiorVNcGmUbCGkQM2FpS646BAXac5xmiuLRobDU8rxE5a2oOJ4dX/PxdVuKwJ2uwHnHa0UUrDCtBZDX6dTZgKGmPDB01plnkzRuhaBvpuIl1IIITLPJ0QC+90Fx+ORV/cvcNGR7285vfqY8PiKOWXS1Y53PvgWy82n7MoLhuA5iSNEx+l0JKXEMKQH48AEJcMQ0cUOIuIjvtsFPnnyiOvnz7htjtu7iffGHXevbqmnmeVu4ctvXzFejHz8k1vuS8Tl2RTqNPLgkaydMW+HmS9Ckp1zLFRDKVyn6/l+8HJdQGZtBJa5GNdP61ZIqIxbyQoFXO0Fwf7M/8I2RMWoB9a21NfEcGuKHvTWqTZqNUGR95601tHVCstMo0pj7IXdWqillL5QpBidCZtyLb2N37+xWRHSOi4pKW7jdR0Pczav5rUNn4J1lbw3lb13gRAt3CWobcDSrGjS1gje00Kg5batLdTSBV2gWvDAXRXScsN4MXIVB0av/OrtH/MoZK7yc6M47Bp4oaodjH0wdH8phTElQoyUJbMsC8MQwQd2aWQY9yaajQPTMjGOI2Hcmed8p4iEEBjHPSFUcvefTzvZ5m7sh2OVaJ+pNZY6I2qJiNqXOO+7tsMFgvdwWijllssk7J8K//V/8R/zR3/8A/7b/+6PiM7x4lXgajyAh+IVR8GrUqrYoZdKKXMvemRDGM9wga3DNqb6kquO0nKvAvq8C4KW3ItCK7CDBJa1+BfTeeRqh9XWjDetztT2OHDV2tMOo0T4DDXZvpFz7iFNDV0dNTqZqcqD4krNHcl1h4zQ7RdXJ6TQOxvajBFsAITNlxi7AK4WpNs9SrODUfKwI9PaRNtVZowSJSiji6iz+bPej4onO4c46cWndW3SFu5jc3jTwTiIYq137TzPsH4kVZw4QnCInoWQvh9asu/zGbV7CByww8cUukNO76yOnNeCtfxp3nXBuaHItg+ZWNKD8U8BadIRceMkxxbZjSMtCloccQj4aKDNXAtFwYm3olYip/sjocFlGGwMLJm7BncU4m4kBSs0S6ksraICu2FgjIaK74Mjq1DHROoUoqMTXkyZukw8ffsdvA98aZo5LkfmuTK0wlhnE5a3E9KU/X6PDzv244Hnww3MkfHqwoAnUWqeSWO0Md6Ui92AixEX0nY42MUd4q1IXtRAmt0wMrqASmDK2egeQYlDM3vdrjtwrRG8sruIPH37CRdXlxx/+hlOGheHgXHwOC8Mg3U8cDa3kMJ+jIyDR+uJ2gww2u0HvD/w6LBn9/gpN9cnnk1HXuV7ZPQcb0zcPrpgdJEwoq2Rl0rotClU2afE44tLPvvsM4oa8mypxj97DTtLzSvF3l8pxUAOUdQFqgq5FKRWhuESVJinTBgSPqQ3byRvuH5BiuTz6XbdWDekp7Mpf15Cyvozigk0YozdWs0/KCDOiNaGrmnbuLZnxFM3LuJayHqxeOXWQMR4IQ177fYQ+X3w+p/nPa6HoYeFr6mN/fZ7FROP2C5gPLf1NcV5s5TrnNKaLcL5NB05Hm8o00vickt0lUufSV4ZaCytEfxAjJHHj6/Y7yLL/SvIUw+jMW9bwYJKHt57h5i7QlsPAq9jNqUUSrGNw0tvu7Vz/PGK4tRae2+vI5o0XBCGYSSExFzsczcq434wKzvvaLTu6qC0WllKJrnYxT8VmqExMUS0FivKQyCFgbqY5V70rhcqRk+gizAVaGqWTCkFQoqUZhZEebplOX5Gnb8OAVoLhP0VbryA+5dmK7VkEBtrK72EZu3q89j1LAqlrJxVGxPjLvFcGz4OtM77vrjYmzE6FdGFFAqjCBdBuK8Np0KhGkeud0U6qPtFQDLBmQDKCukuGd3EMMbHDk7QVrYDjYE2KyplnRnppHn70c6hB3tOTfANe7atbf++Ntc+9+eK8jbAqXb2v6Gw2lFk616cvce3OfUFedSmmLfPSFO8S/1nHLoWyG+4UcZr9xsa4r0n+oDWjKzztHdVpHnUeWg2jld+Y3CR6DzZ2WdqbV1f1pNvLyYkUk8zcc48HSKjZEK5wUvDe0cLjho8WYp1LBYToQy7Ee9H6CjnamsUgsOFobPObb3zMYFmmhfza1fryNXauqDsjE5Cd+folnG+F8ZxCNv6F2Ps3MYVucWixkXQNlJxpBgZApDttZ482vHo7/06f/QnH/Ltv3pOPQnzcUJGEx6K9wziug3d66i+995EZRVYi8s1FVWVugqsVQ3MAEPOnK0r2gpaz9uackacwGzFHGuHy1a/0hoaV4Gpt7HeOsWmNlrq60fvatl9O4MD3lvhWzg7Gkk/wPaphnYhnoghmT4IZc5Gt5PVceWM3K6fcYyBMAwMaWQIrXdvoElGySzOKERRzNLNdDQ2XxvNuJ7rGtE7gm5LbLXvXg01vOsYsXPmviDy4F5x/rzN0N0N1xGhSetuNJybT0o/cNt/6OYQ82BvpItsW6dwrM/MNkec2nqAc4YkGzEdp63zl+1gJaJbR6QWQ/pbLgi2xu1DYOccLXp2KRI6IDQOkfvjhHewC8IQAsH1Q78XQhNidVui72GIzIA4C6qKmBtG3I1UGi1G/DCgM0jIHIyTgJSJ4BXPQlXhMAQG7xiTQ2vGiQVPOYTdEGl1xntzTwnOuMctZ7RmgoAEz+VuZEieIUbGMVKpHIbE5bBj8J7UOxu1dRFvsSK5tGKfN0ZO7p7dOLCLgaAQqAw9VTbGaKhvLmi15AZplRQ94xgZhkjwSorCPgWCBvbBE4OjYim02uHsgB0AACAASURBVB9wa3ZYaWouUw1HGod+sPKUtpgz137gfjoxz/PG2w//L+l4D3UnACmaILK0unU4W7PAOdtLfu7L/cz1C1Ikb3UhteV+crAN3XkTPvgHE+vz11ZYO+03wJCTlNLWXhQioRVa3+C0WuupxsUKz57q5UQ7UhC7z612HrLfrKDWduAqWtB1YVs/i+8n4dU3VhWcedo6Z9xZVaW02nnTCt2KyxbHtQ/GVlyptF4YLrRWKfMdLReO00te3v6ENl/zlV3hycXIfrkntIwUxVfH1eP3eOsiwFKY2g1jqLjYWLIScNYG1bVleG6FG3ogRotgJWOD4Ajem6dhCsYz6p625cFjMo9cxYvx9+xwoaQxcvn4ksfjpVkgtQlc4b68wgVlvDzgx4RTJYw75noy8UBeKGr2OcmpFQliCwshsBsiWQwpKk0BT1OHj+ZgYpQOuDwcePHyGbvdzjjW4hl2B0KYoQnz/U/J7Z7h3Se8dfEBt6Xw3tf/FvnmM17+3z+ilZkQEkqllKXbzR1xzZGu9vb/mtC0EncHXK3sY8KJFWLTqXJ/e8eH3/+Yi3GHby9I7wphSIQhcJyPtByI9ZJ3pHD0CzlFBMdbYccoy8ZJXzerN10xOHakrgDW7RBkzzBStDKK4ObSOwRYVwXtB4Z++Cz2c2uHQ5tQRGkeBieIF0rO/Xvc1jFBzi3yzQ6rD20vPemyVptT2g+IFUMP+nrw0JoNYPkCVXJbMoglLK1zcaWWrLaLIrJRsazgqizLAqmjJYD0r68Cq0Z3dHGBjHYhJIDRYpoooSnRB+j3Z+73ggbeOaQVhqBImLksz3m3Or46L+y4xQ2Z5AouNnbDjpAi5CPzsuCCce/npZCSwwVH9Sva69HgGHc7GsYFFw3sdjsYrD3vYtq0x2kY+iEWUhyIwe5F8AM5ZxPR9hZk0e5V67qQeUU0+6okpnRk742mtPpmuxSI447jccLrwj/5L/8x3/nep/yTf/o/MB2uuAvK7BwUZ9Z1gxXvoMS0Fu15o3TQf5cAXsOZ3gWEFPFBoXq0Yp0DV6C3g8F8i7VV/Jj6WCv9gNYBmWpjtKghyOKEXCaKmhOG6ZEd85xx0jn80Tovrdkm7sTcJoDtAKdrd7E70kQHRaE0JXQkWVFiCjiUoNIPAZb8GkLo/xqlxxwzKo1KFPvznXDNvR9wabfOZmZnCL85pDlcg8FVhg54NCoFew9AF9yeu9nOdf7+piMQhPxakaxq/u/S6USri8yugyPqjMvcHBzVONtlLah7Nb7I2XnEXtNEicoKHPU9tocW2XnI/h60C1TVin8fHEPqoUO1MmDvLTUhRGUfleAdoQSuXOOUlOQyUqshoEl5pxgQMVCI3rHzhcUv7IcGTrkInrcGYXKZJVpnKg0XjCnQ5sJeK+3iQJVCfHyBTyN//ukz6nLP5VAJ0pivn3EU4bGD7CH6gUGO7EPgvV1idCNM19Z1O93iUmQpmfl0xIlyESP71NCoPB4CtQrqGzGfaB6cnhiDcOELj13lvRBoRRldYKEx9YyAYRgo90d2o9nhMV9zCIWBzKAnLmTufvSecb8j1UbO9+gyU9pEpDLuPPsxIFRiO3IRFoakVBGeRuXdfeKjPFFPJ1JNUB1DsuevtdAkU6QgTkhHR8kzt+WWQuXivUf82fe/x+l0Yj8e0DmzT29GfU/LfD5U9oODiJDUOPdLzsazD4G8NAv48sE63T+HmfD56xemSHYeO224sxXOyo2B1zf4N12rghnOgQIbf03P3C/ok86gRDCi74bQ9hxp20ixTdMcJr5YYfmmS92KJp5POKpn3s76ng0xEUQ8fuW0ad2+5+zbarHI2oyj1MpCqYW70x039zeQ78ih0VrAecy3d1GW0tg1h5fA1eEC5yt5eUVutSMwbSsg+NxiuCIfzt7s+ev9fZV6fp+ldKHhkDZVbc7ZNmIJG0IAllQ4DANUY/CmKFRngppX98bxDSGgwDiaRVaZLVY6Z+NzjofRhHo1s8yLqb+TiY+WZQG6PR2elM7uB6vfdu2LpGrr8c2+F3QRbY1lvqPVE1TbaC8uH3P19C2eeyFTuRwGasscj3eM42iCKFb/20BTeQ2lU+mOG87x1ltvMU0L3/uz77MLVqTc35827ifOI90CMZ4qTSrVB6I6Rh9x3RZqRcO+ULgnghdnm6JbD569IMUhPjAExxDCNs6035vaFA29EO/t4A05atDWWHRnYqic89bSXxHJWsvZGkpk4/3+DLfdpkD3ubDrod/tw9coubzxs7ZWus+wcYnXDbn3sl/7fQ9R7VqruXw8/J5qtBMVb2iWM0uxrArdBB96wEJb7Y3kgT/6WvR7K2ibrW9OFvZ+YSe3pHzNwB0yRBwLNBODRRTVzP7JE3b7sY9Xo6uE1Okn/bAvwTPPM4fLCw6HA9NihyfpdIhSKzXbWjaOcaPCPLwXzgViFE6niZxtDjfMJs2EU4WVw7uOjxVhr+XeisBg4j/E3GZ24RF1vqacrvnVD97jd37zCf/8/7hhGT1FBxzWshfp8eWI0ai6+MZAV7/9ThseP8tPV2n9nrOtLs6v6/75OazrEasOYXtemMd6azStRimuvVhrK4c9IFI6N3K1IGy0vJw7iGpUA3Urn//1+biurTaXGk2aBUl5Z+OrAd23el0jko84d6YEWeCUIckRAQpZrFO2imlFPA5DppXuFMGCw+P7XqpqThKbBAfrHD3Ujmx71OcQuu171s+l3VGh/31tgnbjBPu8zjoqTcCr2UlWdwaVzrdKz+BMfx1dO1PYW1m7SeYO0jbU3jlH9I4KjDFAFyTGALFz37NTYqvUIZoPPEoMnhgDTjJVhEkhaqOb3NmcpJj1pLevRR8sCCxYR4el4hWk2Tz1KUIUrqnk+URebohtwQ8jTR27dCAItADBV4IUtCyk3jUAeHTYc+pc5LVL6ZxjOR4p84R3jcF75OqSFCC4RgxC2o0sQ2T0Ht/MWSp6E3Eu07SBcGZLagj1fhcJTvDa8NoI0qywdJ7Rmyi/1mLPrWb73g4eLnmyQtmQQGIQxiD4mqnzQp1nXLO9RqWaBaPSx7M96zEMaBCOataN4+WB04+fmc+xKmXJm+7l89fn67yzDaFuB1jnvK3dHUUO3m1e6P+m1y9Mkdz64rQ0Za4LWU2N7Ly1cb5A4AhACmDFgk2a4D0+BdLa+vaNRSvHAm4uRCCmQEOZ+uuu3E7v7NSi2oUCEgg4AhGnlZwNOVubdasB/2uFihZqa0y92N3F2AeH8dwipuCutRLSehIym6bWGlUbobleyHcvQF/tFLacaG3h5vSK43zkxbPvI6cb3toFvp5GdnMmoyw5cZpn3n7nMb/8zQMXh0iSe1hmtCyoQmsLaLfW6mplaQm0Qjv1omfAu8gi9ElGR8G7gVdzhGh+w4bAqeWl10bLSs2NmZnmhNo8pVtUjSES9uA1k+oCPnDXHMvdHb/x679FOlxxnO5ZJLMfE8eScQQWi1+0MITF6B61VKpAoxiS5oTjdLKNzQkhOrxP3NzcgDo+/PBDdheR4/HWOLHBwkm8ODQ6ApVRAjc/fsXV5cRyGUivJt66ep9vH3acPvoh+6+Y48LhcADviOOIOGVaTpRmij8bTxFxjel0y27YWzxzXvjyO2/z1uMd8+mOed5zPB7ZPz7gSJzKCfEzT9ORXB+zb4lFEkEbLgPd/gunBF4v8B5el8OuH4BgLrkng3nEJ0pr+NBQKSzLhMZsbdzaaKKW5NXc5l2rTU2lDhAzhyqMJ2gJcjAvXKfSHRh6+x5DKyV4cltQlOCTFV/ZeOteHJoN/ZoHgMauK/6ltq0YUhFqzfZ833CV3lKf13Z8Ww9BFW2N/ZiMHiOGIxrJSCEllrqclf80NAqtBprDCg5nFIBdtrCOpTXEKaMk1FmhV4pawqfCIB7FNuZGxUvlEBOHS/jqYeJyOXIVlRCgLPc0F6juCskBGQLx8Mg+U7OEQQlWaEg8gCrBR4bkKfNEPFwwi2eZF2sjiyeXSs6L2SelAe89d/PM4XAJzTMXZT8c8F5p7UjTypOn76Kq3N7emk1fNepLGA9UCWietta7rvZ6YU259HhWkZGisRDGx3gSy7Lwn/+n/4h/93c+5Z/+s/+JnN5Bk3DtXnIxx2512WhaTFjWOxHTkimtkUZ73kWNv7sJshWkWKFUe8CRZLH51eFzO7y0zmPWjocIuHBO7nMJO4TYZuqT8d+D2OHPOYe0AR/EkGVvz8Lr7mfW/dzFxK2/H491EhqCaLHx5R3FY+JfSQRnh62lQgld1BqMwjHEREgR5+z1rlWgFry3EKewazzCkeXAHTuCrBH1zSpvB6IjqnXrCkUnVqDblmmetb34rb72w6XQmKmtElfhHNZhQuA+LH2tt1a4NLUxor2T64RWejBM707ZzDJ6zNIsdzN2azJpyuSK2YGJUJ2J83xRE1olB9q4GPf4eWGIkaVMII1pPqG6Z5lmcqscy8whRjvE6I6bPBFi5NHFSD4Id8cbFu7BOdIwkPNMk0J2hTwK8XJH87KBHq4KZR+ZhsB0O3GnJr57sj8QWShtYQ4FlplBC75W8JHBJSY38O2XJ96+esTfvXwXXxrL6UQQwVNw03Nulhe8Wl6wLIUYYL87IEGY7++4n0604LhdFt4JAdk94eWLj5mBV/evcBzRceA0N+ZFOS133Elld3DIk8jNJ/fcUch5Ybp7QdqNTDlzP2XzRL57SS0TT4YRNxx4djtzd4LTsrCUW56OjrevvsL8auGmZD765Bb1lVQqb+meZYp89qLyyfWR4/GOXBcOX3ufJ3LFj179X7yYX3LMCkGZuy5oDWqJVai58qzdcLm/Ih8zj8YL3h+u+KkIJxV2hwtaydy9evnGNR9sXk+npa8bjlIyKs14ztGoOA5LkfQuoSUTtf5/qnx/YYpkWdstHd3RJj1ZpycNuTcXAsB2kpAV9emK1NALlSoNmnDSsnEffT9JBL+iDnbiWeNIs9rGvIoaNpRvXW46T3HlMa6bhaHDxpXSVjfkyokjOPcaNzmkaK+mtpAqShVH9DskV7S7NCC2QLdcmZcjtUxM9y+Y5iPz6Z4rV7mMnn2EEeHlVLg/Vg6HPe+++y5jSrg6WdyoZJBsqHRXyKyHKsEoHSorx9sWNun2RKp0TiA0rYToX9skPq803dC/UhGJnWvqqFWZp4y7Ml6sB4I03Jy5iIl3335KFos/VWmUxUSAwXnMF9PhJLCU2VAp58hlASf4Hj9ZizLnikgjpB0hDlxePUZEmKaJUmdWnrWpz0GCqWu7yxJLnsnzPW0/4JxjGHbgEqe50Cbjea0dCRHBqXEiazVkbOUYtn6ajnFAG5RqSuf94cDp/kgrhWXJ7H0kBMXlhjgYB0+cK14tS81Oyva2V4cQOxi+eV4E6UlDYmJMrXSxUxcJOTW0YjltReuWRImcec+9/YmIOaVgjhSuR6iLslGOHp7QXecxe+mIUtuUbPaqGzTdr55QhbMi1qHdctDa7xa//uZrG3N9/teVrtTbt5u411maV0VxzW3qb+1xw5ti2nUV99bNskNia9bVMkTLqEfSmhVg3SKP2ujaJspyQijsd3ve2gtJjC/pnSFViDcf1yERgscFC0Fa47FdsIhvOlJiz8bjguB16AI6O70suUJw+JCoy0Jp5lfrQmJwiRR2CJ7sKwSbj5KDOUd4AxR2e2UuJ6b5xDAMRAeqxShXuq7P68MzStzGw+1896z2DIY4UGvl0dUTfvPXBn7l6wf+/PmREA6UlpBgPslm7dV1INCpZ0ZZMJ6870r7VdNgf7rO/9hizfvfV3/q9ZmrXzsCtmY7SxogiCemANI6YiuE1tHgaql7oa9pQxqMCrJS5qLfxtznx+G6Fm7/3ceY937bS+TBmN14kgbrvobmhq7+Lv13S0eLSpnMvWGYwA84MQeJWguxC8pKWQjOk3PtqJp9tvlBp5IH++5rc6kXxLZfvv7/qV3Du859tQNJXfUIPeRBu/hxXVFUTWPiFUApD3MI1I7jKFux3LypCVQ8QQuDdwwegmSCW7AQqML/w9ybxNiWbetZ35jVWmvvHRHnnMy81SvuM2ALGWMbIcstkKFBYYHcM02MkEwHIXpYdNx1DyEhIb2GBW5QuAdICBoUcscIkB8IZEuADe/5FlnczHMiYu+9ilkMGmOuHfHuzfPexXS8UqmTGSeKHWvPNecY//iLICtCou4UGDySPRXP5ZzZ2sLDW2E6rMxPC8tsQR3iViqBdV54us48lgX1kXmrLFvh/LxyWVfUJ9YVtHou543r+sxhGMnF8XyeeZ6vbOuZZblSWiG0xuIcdZjYJLL6iNy/pSwra1akFtb1ie3pkdYK8+OFed3YCKgbUBnYNs/1WsmamXNjawKlorlyOW88n1eG0bNtoJtyWRrPZePpw8XsBQus2aaquW6WWeAuNK19crkwzyvP1ys//GFA1VO2yrpmzpdMzpn7N0LTQKserWLx0uvKUivVe0puOE1sa+PpeWWrG/iR1mCZV9Y1m61me9ER7LkROz84dD3IrX7SLsRD0NonCR/Z9G3W311beo1ke3C1cKhXfHzpuobmTYu08Xugrj93/X1SJO9iB725Iqxr7qNA+yVj/LgacRey7JHJOWeyU6a7N4xp4OA8a87UzbNU45uJeBtzYQV4uKkdbRM7jKMp7bVSmtJKJgR/SzWykVwfJfQNxJJevHHdnOCLCaJi5/AGU1LZhu4EnwzRqCqGzKopgyVnxkPAMVJKX+SXJy6XZ87PX7KsT/z4x3+bbb0yeHg3Oe5VyBejYDy3RnHwB3/4faZDQucN7zx7TLFWj+aMkNmFiruwsWqx0SCg+9fswSz0YlmMtybdTcS8V+09rNs+0hXGlIjec5mzqU+7EbqPg1kT+TfEUHBlNdSmPvG9zz6laeZ5uRKd0JaZy7bhnVnVeG8IrorS1Dx8fecihRgJcTIE0RkKYxxaZV0quayklEgpMGCRniJCLeY/a0rtZOb2zuHambZe8PVIXleSC6TDJ5wZuT6vxCERJ0/JBS2FlExQIi2b0MRHGzOGgTGOiHOkIXL37sS2Fv7IP/bH+N/+xv/C57/zE5rzfG+cCJJ4/+Fzxhg4jsJwmYnlDVkDVSsEowfYUjWbG37uoN6vJnTEpTebOEq2hDjVCn5ju7zn+f1XODFkRjxonwjQi1LXU9Ik2Bj/oJ7kHcFD6UX4qhl4cdsQEaIY4mq2VdCat/jl3gwSrIlYc+1FJt0q0dqX2kq3CDP7pp2X/m1XLX0Tlk5pit5cDMSKqa1zjrXtxUL/ec5ZlG2v3xuKdtGbFTNdwOocEqxo3wVZOa8mVuq+6K+pSERzcPj0buTNKfKrnxw5tWdOSYhOmZeZGD13776D945hjGaNtVNfnLNo+NqYpqFzYU15n0JP2NSZy3rlzfSOEBJzzlxr4y4dCGocaRWPEnk4vut8cM80BkqtlFw4HS3Nap6N958OR6QFLu8Xcl7ZcsZ32lJwmB6iZitGnLslczlxuG4TJ80Koq3OjMfE0+OVQ7jwb/+b/xL/xl/8yyzzGc9I7oVaRakqqPru2wshjZaR0gxg2HrR1nqR2Vol9HleKT3ZzVvDsb8XJgx8RdUTi8V1fb9APOqU4IQhmaB3wr6+dlpPCoFY+8GrCsHfhJnwu4XmNy7+z10OwflgxWOnf9zoTTcwwRo6572hxzF0QWl/BpoJnspi3NLQ0/pkfDIEnIHqAjEGSraEU++Fovm29kMwXnftzcPPi+FLH8ODJQy2XtSCtcl7kzQQKJ0XsYsUMxZUo2JJtuIddmKAb53yICYmHJtNcWr/nVUsk6D3OfhO41iaARmjwihwGpXP7gZKXvDlSi4L4WEgDAshKOt8pZRMYGKMB6p4ts3xtGb8CF9fZtoZHp8LS8kQJ+LoeH8tPF0Lj+uGS0qpgWUBF+7Js6L6QC4D7VpYN+VyqVyujfbGE8KJrDNzVmqNOPkErQNsnzOFe95O3+Xd8R2nt7/O+fEDX34z44oSNk9+PzNfL8QF1lqpztPUsy6N5E9W+FfAH5AwUTazjVuy43kRdDiAP1HZiOMb/HplyR8oOoK7p7kLLkSSB4kHVGbGNBLDhg9HQgwsVTkcPyOGEe8SMU2EEapbGKc3jOktNW/UnEjpjigDy7Fx/P4P8C2CH5FwBL/i3MjDu19jO2+UteDxpOS5lPVGnWqdVoSzYBVJnrXYhPA4TazzzKYV71LXHzTS6fCte75gazzFESeBnCu1KLXYrND1SQWqqOSeFmnrcvs45voL198nRbKJvIxdYF3HEKKl2HhPVct6/9j1gmC+KLIXNa88sw47cDjAsAw8hcRasvEOS8XtG6yz9J9pOvYxfaQ4WFqxDXPZaA4CdojRNzvPKy5dRxlSNEN6dUoagokJFKLvNkZ9g5Ah4kqnL1QlN8VRKXUBqag21vzEmlcul5/wfDnz1dMXXC7PLNuFFCPvTp57beia+fJqv//qIB0T1TVqzXgNVDbW0r16NyHkahzLJjSpt02wdMcI45SBIQCgUo3b7XxH/V1Ho23EdjsgpfOTsQLWIQSPEaBq7T6QM9dlYaNwd3cgFEdBuL8u3D2cqGLhIE4Lx6qsIeFCMHTRJxRhXh4ZhoF1mWmlMh0GVGHNhTUXrsvM0ONnp2nCR08KFkd8uTzjyhXtTQ1NaVpZr0oj4KIDp7TtTFnPSHtratsh8dn3foj74mty/kB1MKYB8kbLhcvTQpoOuJAIztNUuZveAo4Qj7SSyaVxVCGXlT/0h/9hfvgH/gC/+Zt/ma/XjX+gKNM0mXo4WK79IDOuVbRgseG6dP/ife2/iE5//roURUofMztPRdiysulq6O5y4elnP2NbzoguONdtCsWKi9BFU9JrAjtc2dU6WIS08THjzmvceYwIQyrUqiau1Ih3/oYo75ZZpTUkJfPIdMZ/136ou2Sjudos0dC5gPLtwj1bq6+8aDsffoyWKFU7Z744Y3S2oibOK0qOhVANjVBVtq3gY+riXjWBkBdcrVStHXU1FB7nrEB4xYlTUdy2chcDv3KaeHeMjPmJ7xwTzUtvNA+4IRmy5j1h2D2APaVJt1sEtFHFRonOD6goRZQo3rzBh/G2B46nO5o46pwpLXB3vOuWcJlzteYiOOlaAIjAmkPnO1tE+lYKKoE4nMjz1Qp3dRTN+Jv9owk9d71IrZlaeVX4FVQaKR1wHk4PEzH+BtNa+df+3J/mv/3rv8X/+n/+jIuOLyiR7rabetv/o4OaTS/Qduedjrza77wXpe72/8uymJe1CDEOHVF9EWVSldqMWlP7vEFd378U1rR7Ydt3VXG06wWXTGtRs42Zdt/+14XmzquGl+lmuxWefRridu7yS7LjvnbpAS8uBhONCuSy9kY+sK0Zj8e5QK0rLhdYntEYwd3hMYF01kJ1zdwcnbM0TxWWvcHc8m0qcdMKqNK8NbCo+U9bRLR9SXevvOlXbpMjsX9z5767YJkE/WnEqZJqdybpRfHG7lUrN0S9hXwLEdkR5diTFwVobmPdPvBBhXx94hN3JZaF73/2KxRVSl0prpL9SuGZzQ9o86xlZkoHRpk4yYHnlMjumRo9p7tPuD+e+PD+YgBX8QwpMbjAc6kUhbUIw/GBabyHueJj4HA4cP/mgeEw8eGL9/gpEmrARxgOA1IgTQdKKUzjkXE6oWmA0z2reKoWhviG4d2vo+nM985fcNHGNy1zl8DP71nOVyIVFyPHN5/x9u47tDhR/YDExHQ8cHd3JDjPumzUxbQ/d8cTn737BHUHajWb1CbmbHM6PFA3WK6dboly/PSB8RhBG8E5gh8Z7xx+jRyOd3ZeN4g+cQwHTu7A+SRIGPFn5eorMiUO9Z5I4BTuWK9XRCIhJKQWWtabRss4+eBd59oH4Xw+c38ciT5Q5hXnPcfDEW3CWgvLR/b8KgaktKJ4Xyy9Vx2Kp4jFtWdnU6Hqcvfb9jh1pI+4JH3b9fdNkfzzV+korGs7v+zjn/viydp9V1Og1PVWPLuu+n17dw/ROpdSCloqbbauu3YF/y68EroAoCNJVKUFI63vwiS3bbTcX9+r0Zu9Hn3F1zME2XVrnSIdTfaOsWeyy1ZxrlFwNN9Rs5rZtpUtL1zmJ56vzzydH7lcnqHAMDgOQyKUjTpvrKZXI04vYRykBLVRvfGPmxZLW2rK7rarCNo6UmIyidu9NXRutyaS22hOu1PDPo5rbqe6+Bu6sF+5FtweX9oa67qSKVRWfLCRrgfSIFyWGV83K9RzMT/32H2uteE0mNhGbBy9LctN7NJao2bLmB+HA4pQio2cShVqXUmDifW40RR6c6WN1kdAvhuPt5LZlhlXNlqptAgpDaQ0svQi6zZGKobQxtQgGIIqzpC/1z6PtVaePpwZhoHHDx94ePcpv/prP+S3/+7vGAfVR1Iy8/pcui92p+20ZnSJqIc+tnoZdX/blauQ1Az+nMrNY9YOLKWVQi5dGNJqH0m72wHq+jjVNRPXqdr0JHSupjO+gSFgrdvq7aM1QFJFi9Ka4NvQbQz3e2HTFlHzP/YIqaOEpRcQRn3oAi762vrI3rY/53uh2/aplJp93v5sNrcr/S3pTVql+Z3SwW2NUhTth7t5Q5tVXtWG62gjWJFReoPsO7UD4JAih2HkNCQO0RFVGIeBJW9GWUmDORikgZCENJoTz7oYr7chDCFB3498SDf7s6oNiXrb70yYJsR0wIVIpdxoCjFGtlJZ6kp0HkeglmwOMSFyXi2V7nA44Jwnrwtm5GU0tBDM4kpb/rl11m7pm7d9uLs51NLdbpJnWTem8S1LtonTH/9j/wiPc+W3/tZ/DelgPHjtDkE7+tvRVW40MI/r49HdSQN2Ghwv1mLd2WHv4VStQI1+nwr0T+uFnllbKYij9lp3KStDSiZOwpgbWlbGGMxjuWTzzH81MdnXX9uDV16tSRMFh4/QMnZq8qul2gAAIABJREFUGuzC8d8lnOv3WdVRW72Jje09b8bWaQWz92hIVUpZkGSTj6VtmN1Q3xuLfX/Xqs2V9KY4oFns4ctr6z8+d24uVW/UCu88nZyHivS45GahUv191D4ZdkhH82w/qZ0aY1kD9nf2/usL/ar/GcTS4ujPb26Zb55m6vUDd1Mh0jgMA6U1ns9XC85yDaWwtRma0fBGd0CakiQy58WSDvvv14oJjGsrtFqgVlot1GzNkgveuHdgEe6qLB2pt+mSJ+crBaNVNZ1RhbkapzscR8Jx5KqFS90daxxFHX68J9ZIOf/M/KVbtaS4vKJ5MaQUoWGhKtoT9V7CO2wPL6UwpIAPwvUccCLkXG9uLrvFoPexN7c2rQhUyjz3Jjffzm/nzEnHxdCBEwMevQSiWMhI69YmtU8Scdi5CSw5U7O9rlwsIK52tsBOs9idKMZk3P7dKnbbNkLqLhwZtrZ9VKztgp1pOW9YfspAiJGtU0K1nwW1U+mqWtMGe8DcL3f9vp8pIn8Z+BeAL1X1j/SPvQP+U+A3gP8H+LOq+l7syf53gT8NXIE/p6p/4/d/GbvpC3iv4Cu5VUKrDBiKeDqNH/8lxgknQvR2UAXvGNyBcRxJw8B4t8e4bvzK+ClgiWtzXrjMi/F2VktnS8mcF/wYOImwbIUcHGWMNpLIGylEWghcxPN8ninLEzUvzHWjZSH4E16EMVkn7kPf/Fqleeugo4hFMzezHYsOXG6UZenClSu0lef5K+b5ma8//xHXLbOcF1yFhxA4NsdJhPO82GgywOEwkWMjhci9nxhLIU42ktQWcBLJRak0NoxLGVEbXUrnOyK4ap1mCQV8I3aUpzSB5vF+oJZGHQuExqqFUBved7StI/a1KiHajlRWc01o8Y55zVwXz5oDohu1ZVzLhmCthTQOyGi+llqDFXR5I0omOKW5xnVbiMeJeJxQb1zl2MfAeS34GDkej5SyWSpeE+b5Qi4bQU644EnOsy1nU+hTqNczulae54l0fyDLwtt5YL3fqFJ4GL/P0/d+G31U2vrMZb0yxcSyeWpx+FjJyyPfOd6RLwVOAe+Epa605UwrM6WamGSYRh6fCn/8j/4GgWeo9rBP92/AKZ+++YyfccU9XvBENp+IemCtljzl1IIn5PeIbJ9JOFG8VONhhmBqO9n4+ukrHh+/BmkMAuoGcmkcZCC4Rs29CBSjQUQXLNilWkhAcZVRenKlNIpTJHZkrDZWHRCvNLrCuDag4oK7FS7OgWjuhYHHeUO9wVsqHZ0oopY6+LpAfX35ZAix74j2IEB4oUG40HnlzpqiFhrWBwu1HSiDTauaUyYCQd1tOiRi3HbnR+iWZ8EFXIwm+PTNXrM3B4LRN35wN3I3Vj49PnOIjimMZus2jMRhYIiOIJVh7Cl424ug0CWL7E7pQFVlWQ2FdN664Bva7T26waoFdY3EEyklpsMdIUZy3dC5mVNIqYhUal5QrVTn2BB8E6CxzQuuC8kAigSG0wPLcqWVK64ULusM3brJuUQrO09Wu3dyw2mjeQsHKMuMSuS8PpJk4jB6poPnn/1Tf5S/+Tf/d/7H//lr5hTZguO6rdzfnWhnS/zaNivenR8MR9p1Ie7F//4lNdMs6RQLkUq+0wqyhbj4PmnZqh2WLYoVekGQ5NmAdXfAKJXcVlywZEDXKkOB83kGjM+4rCZ69d4TnImUjQevNxSb1hFwgbWVTvvq1JJWqVRCEKPfdR2FSkBqwa0WmNEEPizG6/QxYSzMiKueoBHdZtr5PXUU6v0DzTdE79GaoVQGPTK3XXvhcWLFrcpCQ1i2ag1Db1xb6a4p4qE6RI0y1ZrpcxDpEcF9FMELCh07v1xqB2FE8NFcECR12lIrBG2EPpqSPkYQJwzqO4r98kxXPM5boZvU0WZPKTNrS/ytbx45uMZviOPh7p6vLmdElLRUfNs4HJS8Ve6OkUu9wnjPtl6Y3Gav1ZmLUKmViPmRH+8/4TDcs2wrOnpYV6LbmNxG2S6c84aKZ9XG4BL5mtk04GqCPFrA0DZQSyGViguex/lCaw+wFmTe8GnC5UZMnjbY2fZVfEvdnhn9jJ+fefyqoEvDF2ELEKPDizIuC0eF+XRiK5k301t8VUrLFKcsy0oYT4TTp7TWmGslxYEtz6zJce8DrJllufIojbmAV4dn5HLeOC8r15K55oVpOODlgLgD79cn6lA4nDyuwm988gmfpYn3+p6mDqry5nCH603aT37yIy55ZROzuRWgbn0yET0+RFppaK2sz40xDJQ1A45CRtTjSyMV04DkmDh/y56fXCQO9r2mcWJejE75okUQFLk1gCJieQrN8gx+2euXKaf/A+DfA/7Kq4/9BeC/UdW/JCJ/of//vwX888Af7P/+SeDf73/+0tfecauYACB6TwyBuzB89Gt29HcaxxsKlnwxjmoIxtkKgTEm3OAJBHKrjJt15cviuUi34IlQI6Tkb/Y7OTi2JcMUmMbAIB7Ec/QDujWSHFm9WESjvKABoZucm15EzWJIbLQPgg+BLWMJUVqpmtlYyMvG+fEDtS08PX3D+fLI188Xck8k8y4Y+uo95HrjcdLpEckpU3SMwXXnj9rR1lcm+6rkVgwld4oP0gMP9s7/JYDBhE87CQ1wav7A2sfjvVs1brm/cWRvo05n0EHVxlaqFU3B32zDdtV6zpkQa4+sVVpVdBCojRAc61qJ8UBKiaAvosFdGCkIMZq/p+tigNI71N06SMSbU0oA5wIpTkgy9WverpSWTRyjhbQ1S0Gr/eAQE98dTkdSyRSv5PVivE8nbLkSs7LkzLYVnJt6ephCrWx5oawLyzYzHYUwCWupjIcT3/3+D8hPGznbg24hJyPHQyMF96Lk185f1NIRKG4o1C9csocjlBtipXgraPPGOp/J22wuLs5DDBSplLwZTSb1cV2pL/zJ2lA6lUmbBSj092D32d7/adWasD3lEmccslu4ifQAC93fH7jBTOxc6NeI24vw49v2AAM07GtTf+0555tjAthI3NaL3MbgLni0Kk2NPjWE2HnIL0UA2BL3zt08hPeftZYCPhDE/n5Iyv0UOEbHFAPRqaG4o0OibezmmU1/Nrj5Xlc1t4GQ0i2C3Yr1xlYLQcxnHaCWjHQBbnCOdbmCVg7jZN+/ZkpvQIa+fzaLfaPklbw2hnREnGkOsipCwrkXAaOECNWhmlnmGedgmiZUhabSg4YaqAUP1Y6o49Qa9z7irO0R748spfCdT9/xJ//xP8T//bd/iy/XQtVuVVUqXrulnrounDapnpeXacDvXuKvhG72Y/taNOcFi962e7DT5F5/jarZRQlWBHbp4G2N2GTD9fdIKM0Q6t36sKl2J4fWxYSvGtadbtGnM30l3ygiojaJkR4/HRrE0M8cbeRaaSVTVW78/DhADELblFqVvGXUZ9CfQ7GlA7Jqa0xlD1BqDOGFCpLRbscn0Ew4K/0Mgx5N0gtkhdv63GlVe5Kn7+iv9io3eANb+m2150wEC7N5ucf7+6K63/mXa7cVFXmZbZZWMVKi45Irz1sljErBU9Qs2w4ukJaZjWAAgbPAiqYR2qWrM2wM3zCTABFhSpFxiNCswN5f4+5yUrpV6Os45Ne2invtcRMv8lKb+P1c7ZorYsTHQI6eDWFThy/GRS9b5BCEqWRz3YkQY2UulULpN5tbQ7a/l6/NA0rZyOtiAR1qviIu+B6x3q3YBLxPTNOBKIK4ZPtzdOAj4h25bv2s9ISz4Fuf/KVIqRbn7VO0QKUGX3/9NfPlimBJkTv9KDcBZ/uU2fFmtBS8T3aOtcb5fGZ6e3/bq9U7osRuefiLl9ZGk0rydh/cTh3qe4EoDCEQxbHkjFeIPnItC7cEnV/i+n2LZFX9ayLyGz/34T8D/Kn+3/8h8N9jRfKfAf6K2qr5H0TkjYh8X1V/+su8mH0U3FojNxMXRe+ZfOQUP175H6aJECOHu3vLWQ+JoNebUl+CFTGH6WQR085z5zwtT4zzmXlO+CdlLZai5kIjuErsEZVuGrjImeeQeXj4hId0pBUbDfhwx4dnZY2BdeyJbX1Tji6SYsCLCT9ys7FWroaS+NqIfqBooTKjbSHnD1weH/n668+5XB/54svfobbM++cLXoST85yC47t3IwcvhHwmizANI/N15no582tv7/nhDz7le28SPm8mfnEdGcOM7Y0b+sKhrGoBKyF1WoRWbC+0TSxn7P0YBkQca15BHaqRVj1FsxUVfYOttfVaxzYF1yOGXW23Mer1emXbTry5G4jJEn5olYAwHe4oZeNyPiNROB7u2EoipoGYEsfBOF/X67XX5D0lju5B2g+lbdtorrFuC9M0Mp4eePed77LOM2MamIZkP5dGTBPaMsv5kefLFZcWxjihEknDkaoNHwZO9285XzJSC4uPyDAgTkkqfPnFF5YA9asDISWyQooezVe++fpLVC2StFalZIvl1K0Qw0B2TzSNOA/npzOno+NwmLgb4XotBDewNUE6mrdTej72vKsqjmA8VtXOifRoyWi5kC/vcfnaGzf7Ox+ssWkIZgIgVjT2hkdLoXobYVW1g9O/KixC6zxH5wjqKRjHvejWmynTGNCf9RCCpbVpL+j7eFFVyGocyr3BMUT423/XWk146XsBSbNwnNTH0/vou/WRc+pWdHagVIie2A/D0DnIzVsM8l4o++4asEfxSr//Gq0g92ycgue7dwd+7U1kcHAa1Gy7UuLu3T0lr3ZIEBE/mB9153qIWJyu+WzbeNkj1DxTywWfzN/WzmJb00mEZV7xpyMxJCRvzNcPN4cf6UJGbTbS9H1PQ82yrJYF1x0UkEYIidosiKnhmJwJWUU8IQ5m1dYckIBqVmHlQnEVL100ty020YsNCY1QHSoDyY1cy0a+zvxz/8Sf4Dv33+cv/jv/EXWB48MDz8/PBoY0E/lWlCwZRPEl3Iqq18WATei6L3YfRccu5i2l0HKhtdopd+HmZW0Uuw1v+CdDtDW+LOZ/rM0mDirgh4ldjCzV6CDVd24xlujW+j5nS687J3Wh3B5qZUV4b/Z20KH/LICpT0G2Wm6vM/pEco6qHh+Ew9FzGOCyCaUoy7YifiFtF9Y4oH261MRCUlIaDWnUrr0JNm1TBZtLOHMuEZseKoay70mwO5Vtb1JFhNi6W00vgJ0TQtXevNvvEh0Ep+b8s2/4/Zl6HS50ExC2fHs/9++RFJrIKwcaZRpGFhG2+kB1G7/zuPL58894+vAEoZLayncP9xzXzCzKvVcGaUxkXK14t+HJNPXdG9ixlUzWYulxFES6PWzJt3CXGCMb7Xc1zardgxtlXVckpFtjvtNvog82eV7NOzjPK+u8cJxGsheyKLMPzC4ypE94ePeG0Ud4/ooDmVYz0c1EfeS8wrw8Ma+NwoaITU5efOlrT9asiGt4LRy9sGTleZ1Jpx8g0Zk+xxn1RXA4H8k1sxZlq56msGwNF2HOV/BWJMfgmYbIkMwr3CKzaw+kacQQ+fGP/i7r9QPeGI1G73AeScHAlZpx0ogUnFOkbtSiLFW4fPk10+GIlMZVVwtdc0Jq3w4CRXHUXBh8IG/ZosNbYxgjUhreQRSjYzU129RhGFhL3lfkL3X9vXKSv/uq8P0c+G7/718B/u6rz/tR/9gvFMki8ueBP//zH7+hNrduX8Ht/em3X8M4EkLgOBj6Mo4jrhmlomhDvfnlztvGdIz4ySIbC41YPLUGxqFHMDbb9AKKV1NIem/pbskXtm1lCQMhCmkYOKXGWrKpl/NGqZloM2RiCAwhGMrQTAleWiH58SaSCmo2Q2vNlLxQ5mfy9sS6PnG9PHK5XKywFxi8cueVU2i89Y3kLTr1clFEVkKw7/n2/sD9FPE146jEGDt/+IWvqX28rWIoLNoMH2w7svLyfuxoiNnm7EoO43OKJGzsZoihJWhJN4G3MTylQVACQvPBNlmtnM9nrtcTerqzkV2MaDXT9hDCbWNWIs1gPLaW0QqX91dD60PA+32s3m4BJ8YlC9RaGfqEYR/F1CbE0aNaqNpDCZxjkImmxsvc2pXnZeUTFwDBRwsZ8S4S48AwjFTdqKd7YgoUCq7C89OZt2/fEkMiDpNtXA7KZm4Bzjk7VHMmr7MhNpsV3MaV7ve6wfW60JoS/EjwNo1QHxDtwjZnvqP6EaJu1W4s2DcrdSaQNXJhhbIiVKMoyCsuKJ1q0+xehj7eDmIioNrH1ybv48Y38yq3taP99YUeYYtY+uJLxscLlztpd6fZn/KOKt32glf7gf8ItWRH63bxWO0ipdcH/H55kZvVo9Etys1RwjkDan5xH3oVJ9/RR8XQDB8MoZw8HKPj7dFzGO0gujtOKI3xMBAPAa6G4jTA+UhrNhGQjrqaaMkBPYhGQMnmxFEwFHiZ7e6XbFyuVijbyhTjza/89b2IMZLXgt4O+f0+enI2YY14h3UgnZvqbNzuQ6I5ZVlmfPJoreRc8QyYe7RQ22zvWU/mLG3BgMmGq80cR1ojrxUvQllW7k/3/Ik//g/y3Xeexx9V2prNb7frHJq6DnIUVKCEFycIQ4R7eqJzJDExscOi2/f3zryQX9As5CXMRkTwokafAUrpa1heQnX6kBZaucXr2rxMEW8WhV7AXKKtrPQhwE7T6Q3Vvmb2xfyioXl1tT6f6Qiwb2LFvguIBHDepoeuoWw9kS+hZbOntXUxunsZxijY9Ezt2RQxf+Rbup0zSlNfZDYJarbPOPcyHbKmwfYH1++fY3ejME6yhaNzg43DbS/RG4k8SA+AVLuv2v+b7tt8a2D6/ZI+Li9dkI8XpCqtKGgk+EglMJdGWc1MsIni0sQhjoxz5iQL0VUC5t6iXZgeulA/uoBzHl8rrjVc9+p2zhtq3X9nVROzt/ZSKO/v6WvR/usiX1VvlBx0txXsUwWx/Tlro8lK1oz4AZkOuJSodWHQjLaMp6DLBVcSrpq2yGMTsG3bbqFdFjxkTUetNl0I0kk6MaLhldiehtTGGCLi1MI2vCDVTAy0FA7jQHSC10gprTdEHUjAJrzTDixgCa/rajSnVjO104wECF6o6l5NCQNQaS7QxASRKsVsdvv9K9g+Gz9yvlnYkXbNWCNEW89SN7OHpLHV7aadcs1qtebk5lL2y1z/v4V7qqoi/x9+4svX/SbwmwAiL26K/e9IwSzTJHiaFzb5dvI2WDc1pMDDIZK8I/oNmY5sxexvls6dm2smrytXPG/Ho3XVydHUc58HqrfOxHvPOCRDhbWaYneAO4R5m2nJNq+SV+7CgYe396xLwZ+vyM7hapZe40P3uG2NjQHBcXcaSEOgURnnSqmVD8vK8vSe+Yuf8MXTT/j8iy/Y1sIeBXzwhbsBfjA4Hrzwib8itVEGx3YyXuoYI/enA9/99A3H0TNJxeG4PD/jQzIRmYDkwlaKKesxkv4OMS/dji1qdytoxuMrHZ3NOfeRTekWav4mCqlYZ52SRT+WZvdycoFSFJeV5CIEj2uZ9++/4P3dwK99eiTnzDAM1HVjSGb/knNmOpxYq7CtFe8jIcDhkNBhDy+wrvmGDmUbK03jSEijUTq8jYis8BZOpxPb9iXz5QrFDu6YAuSAV+X+008pKbHKidPdPWmYiGHAoXwo71mXTC1CbY7T/V0v9hbG40ApcDo8YDMqK9aXdWW5PHF3PCHRc/7mK+ZtZRhHa2qOd5yGwE/P79ly4e7dG7z3/PhHP6GdJoL7Dsn1Ayt4dKsEH60I6HZKH7tar3nE23tc1eFp1Dybc0fdGIYDqGOuDXEBRax4cibSa6htQt6TYuK528qp2JjTixAEYC8eu1WamRQbWhdA1OGw8J0b8lEaW1FDPrxtxEapaLhu90dtt31hXb/dAm6nW+zFRwqGau7iEe89wRtlxtaKfd+sNo5VLLJZnNGk1k0RMSHgrgszRwtDa1yMxN3js61MwfPd+yNv7wK//smBt6dA8J6H+wcqyuH+RG2zpVNpZV4qRRUfwwuHju7/i1oxelmNLtVT71K3NrqsFyu8kyOHxJgGyraR3RU/jlyWTIyFCxao8+bNG3OYQaklU8tme6tYpHJphRAioRvvW8KZyYZ8mBCE82XFJUf0ntENCAG/ZrZ8pekKGHXDSWSbN1PUNwtEaTVzHBrL1pCYiMkxnx8peeBf/Gf+Sf6L/+63+D9+OnM6HFl0w4bjiYQgzoqacy9O9n9NELeL68y/r9RGTAFtjaJK8oHoA1vpyvpOj3A9wY6cCTEQxN0cLV7ofn3poURnz4UtAvPglnYBzK/dpYSqUMJG8/5mR+i6l3Jor2g7u4OFGm3HQAsrbqo0c8hAkVJpVTmXhThMhHgwdLiuFnM+fEKjEbOjOQd1pnVv79bRM20mvIvOG0WPhmtKDA0Vz1YtlGnN1jjFIXaLRBNGqypHsWcwt4z2Yqu0LuZjr3+tYXjtxWzkZmdUK7oto7OReK4vdA7oyWlqiHaHoy0G3RVUq025gjm++M7VleKpIjQdEN8Y/chZCx/mlTlEptOv8Gm9wFi4lGeW7Su2nPnwFNDmiJMh9OyFqzqC655Ntfb0Sm4T2Ewm13Jbf7uxQGsmDPfeczgcGIaBZZ5ZO5Ww9YnWtqzkZe3UwUAcB8a7I0SP++r/ochGi5F2l3DDyI/fw6Se1FbSNVP0A2v2yHwlugn6zwRuMea5CzvHcbSdpFXqutC2jXHwhDH24JoNL44xRQYv5LaR24qP9nxMtZFL5W4ycEkXmK8bgYXYGt8Zkv3duuGeF8JmQEvRja0YjSIvK7kUNEyogmvZiuwU8OKpq4E3abqnsYGYziNvBg6od7RilI3jx/jDtdFKJQ0HE/w5R9k2fLXAMumUzop2qgmUkvFDJH/EEerbrr/XIvmLnUYhIt8Hvuwf/zHwa68+71f7x36fq6NdGBp4aRukQBgiozei/1I+Xghs8zMDR6SMqAMZRlaurPOMiMdXLM0uXhEd8S2yXBrJmZjOo+S6UVohTiYWqH1MSWls68ohTiw1c18SPHlmCno/cF5n8zD1QvKFtlZyqTTd8Elp6hnHO4bTiSFnlMRSshmvD5FUrdOqLGxt5rp+YKtz7xArQ6lE4C5CbMKxCUMQNrXmwc+VT2LiuYtYjsOIZ8XXyHGaqHXlHGy00lo1hawIEhNhzQQveDewLSutWHqe0ti8JWuFkhlipPlmIqseT+ydkBXKVpimgXn+gGrjNB3JayGqw7uJ3KAMxvHynTd8vc5kIGflt3/6NX/0H/3D0DJjXPjmsnDnHPN1sw1n+UALCS+BdZl58+Yze9Ol4Lz2GFq58bOSO+GcY16vJO8Yo2OpmwmWGBiGgfPj59TnsyHPobJ1zrVHiKeRinJ/946nfKLUTwhSGZmwfOGKyGdomPEcqfOMOGVKA2WrpMPE1iyQZS2ZIc2IZBBPHBK1Zi7nZ+ZlRWQkDJE1RlryXFaH84Hz82LrNXme18JVAzncUVcY1bG5COJo0tGsjzwaQRr42m37urmSKFIr+TpTtkpQT9tA9YILk/FM3UhzmwkxxLjqLnUPZVFSH90nF7HzsP8M582HWxUqbBGcdL5xhVqwqZBUxCnON9QXFm0kb2I1bYqLyVwpHDjxVHpxI4HpIxtmrfqCNomgnXss3hFcNBugWvHdyaLsaKP3rFqJIb5wUHH4YEISw5rNQ/1xmW107s2xw1WhzJXxFHg7HviHPnvg/ui5OyjjmLh/OOJHsdSo9QN3g3LFkWugBhCU+BAp68Z2XQjOWVpfXjv6ekHUdAdlLeAnJAhOzXlHXYROfcmqbLNxxcNpwjvHtl5pFcp6pnauq/axu/S4WS+JhufpwzNpHDicYIifcX66IH7g8PaB1jwPbz/l6ZtvYPCkN5/Q/Mh2qCzzM7ltSFspFaMtBGtymxa0bjg2zgQmhKBCFccMHKc3/Ik/9gdobeGLv/rX8dNbvpwXhsETZCMvK46J4BPiy83hxkRhgZpzPzccThqSxArrjkjSG6bCRnKBQ/RmwqwZaWKHte7hMEYh8GpFB30tqBN022cmRiF3VBZN9jOcp/XXNJE6fcHuLZ0PnxjJrlh4hjZcAYn2XhgNw5pKa3xtklYIzAjDELpVpaHcZTNHAfxmCX/aqMszh/HA4oQwCEoyio9bwY/4DEEFFxUNxb5erQBMvShtzbBw2bUu7LasrlON9sCdlRgn9lCguAui5MUvep8+1g64BG/3uaA0529Uq7aj687oWamCNCWLUjzkdcO50OPYhcMwkAkEl/GaDY11tp5X19hKJobA0/XCj6YPrG2hqgnH2nXFh8BDU86XZ8Q7tnzFSWKpHeRRT3EH0tp4KIHnsnHNK1evDF2ouTytLJfKFgLPOSPXDaeV9fpEOUUuulGSZ/GKOofjgEt3tKBsUdikcd0yn7iJWEfm8wL13tyqUuIuDKaNuS58vjiCu+NXD45BG/fzMw/DkZ/mjZSE4yjM64VlWVhXR22JMTr8UCn5QtFGDRstrQzc86AHWki4cWL72Te0bHaNd+OJ9ekKdQ8rC2ix3U+qENrIIIkhCM/nR1yu6JrJMaGpIS2iapQq7+DiCyVcwAulO0utzc7/2CxLoIinBeF6Pnc6WG+A1YM61lI5hAS18uEjAOkc4LJujIOjZOF5u9j7HR1EixpZVmtWhhQ6gKLoWpjCL1/6/r0Wyf858C8Df6n/+Z+9+vi/LiL/CSbYe/xl+ci3q4/FhyFyOI7cHcxIWgf/0S/J81c8Ll+T0vcY3ZGcK6kFGwlo43lbmMtGWoVl2TgelfHwYK4SaULxiJyBcnvAgx9sXJXscH2/vefteEfynkAi5MI8V57XlTxfcM6y4lUa7bpSWzZfWvVEbPz48PatRXBeZoo2Hj9c+Ka9Z56vfP74FV998zl/52c/Zf76Cbdl3sTIp/eRUZRTDKYibyva1GxOBKbDyDZvhKD88Fc/493pxL2rpN7tqihpGKjZbLwMhTFkmGZFbi0z0QcsreODAAAgAElEQVQIJjiopfsaeouoLs3ZwhNh3lZUIaaRvFRyNSW4+IhqeTWK4jZyRF423m0r5rPqhRAHSq785Kdfcn8auD8cGOaZZVnYaiTEvhYOd7RWqDWyritI4/70Ek+80y5szG5R1WAWeDln5MmU6T/98mfUal7ET9cLy7KRxoFPv/MdpkPh/mEk1MY4DjgXKfGAHy0quEVQAse3D/jk2S5f2sE2Hghe2LaVVhfUCePBOIx1W6lDwgEpJdCMczBOB57PM7WquZxI4DBEDg8TtMYweuJw4DC9Qc6Z7YsrG5FpesPcJx07nxaUbx9GQWSiuZ5o1vnoIo4tL2TN+BDQku3ZcPTCJtOqoD1ERwSkui5yMxGN8+OtECmlGXVDTRDZj0rEeXJeDJ3xSvSpxyv/7tc4+MDaC9yW640OVFujBrkJ01QtOEU/smE2zX2+bCjhsu3jYm4jYksGtM/fx+44QdovisJu43AFkQIqDBFwjWEcboFH6W7k17+T+M7Dkc/eBaKreNcYXUbys7nuaDOe3ZpxTERxBMw9oV6NexeHgbzOVM2kEAm5kLynLdmM+ZuwDCsxRqaj8RC3dSZnOB4n0hhtJB8GlrzetAE+WFhR3Qoh7P603RYJtSCdWkkpmU/ptiH6JeJMIBaPR3w8IW1g1iPOB6ZPfoBPE74VlusTT75Q5kfK+T1aMjQTY+bNhGdjCrCt1GYuOi54Ru95fP47fO97n/BP/1N/hP/qr/1P/Pirz3lz/BVy3XAhcnwzkHOllIVREy4ZR7H1iZWPxl13TUAcTozfbzZWL7zlg4636UXTZsiq9yYU3NFLuAWkgK2dykuAhr/ReQRojOFltH5z2MB1fn4Xp+2WeLmgDrwEu69OLKhppxzt1B7vcTSbnGgFNaQXMAFosslFXlc2GlvZyAKN7gudGiobtTqQQPR+B3RNfBeihb7sFCIC2iC47pOsr3zGe9HixMbxwn6f1KgbvgsRpadX9gfLtgl7P5r2oJGd4qfGH2+vEPvXe7glg9o0paoS40BVO8c2aVQCWgVRx9hFrWSjcVlQVaRkx/Oc+fGX7zmvz5yWmUMrvLtWDgrnOKFTRENFtg/mp+wb67rgxCMRlrzxWC5oESKRoOYoohU2Sq+aety5ADIh7oq4kbpstGWD2ii5IqVQ8oYobKUgeMaYGJPjaX7k/fmbnhxbmQazbGxkuJ9YdeXr85m33/117t7c0775Eb7B2w8rIxW3vCenlVyfiEOjbQ5hYEwPbMuV6yV3jvRGlCstVR7P71nnmZN4ihaGg52juZoBQPAe1xSXHM73nIW4EFFWXdFRaHcDy+B4pHImILIyBnMef7y+Z5kX5nkhU3tI0E5t8SRx1JrNulULwzDdaoO7uyMxCbPrNrSlQmk3ytIv7PmlEL2HZh7PrTV8CFyXxVJEnTVoEgLHo/nAL8tiZ+PvoXH7+euXsYD7jzGR3qci8iPgL2LF8V8VkX8V+G3gz/ZP/y8x+7f/C7OA+1d+6Vfy6tJO0gvBcTiMN6HEx68rtcDj01es7UrinnfuofuhKrWt5LryeLYo4Syew3RHEsHlSukJea8FBdotI3wINKdoyTyVM6fguBuP+MWxnU1NvqxXVJRpcjhVmq6UkqkNQjXSv3RkyzvHECOsG/U88375kvPliZ9+9VO+/vorzpcLumwcvHByypsAg0CohaY776jzNAGwsd10Gvj07R1HLyQqUWwz7+/hy1doL3wExuloCuJmdjXUZjG3apzE4M02yAj4u+J960lW3c6omAAtmGnR7+Jj3d7P9sI3Va3QeV8hRPLauJxX7g7d4k8sknkaBuNSbgt5XcAJyTvSEOxA70XxflCZV6w9XIqjlMa6GiLvlxVV4fF8sdfbhG0tzOdM3uD+LuNUyIPZb42d4x4IFm4jjdI51hIifoi4OJpqWAecV5oUXIw9nbBRykZVweWMx8aHrZYbkne9Xmn6AVUrcqJ3vHnzQF4awzAYAlghhWQj3WYczSZm6fV7kvT75TWikm18qdp5wkopa2+gsCJRzP0lZKMX1bb1cXFH1MR4z637MnuNuJ5SJ5pxPXCmdWrOTYyDY3fhsMPX3caxshcGOwf+1e+z806r7gjeizDwY+oE1yk3IkbVaG0fxVtz6HshJOpu62b/Wa95hC9FUid2on1dgWg0hEXDTSgWY+SztyOf3EWmZK4o0auJdNSIAyKG5DVtxFDNJaG23twlaiu8f28x8w+HA0xmy+WiYxgPhDvjbNfJm71l8DgRHt+vtwRBpKe51a0XidaYDsPA6Xji6fxsvxOAOkoxr1UzFDEqjXOYR6xsOEn2rNeKBmE8viNsWDE6PRCHA77ONJThfIdrlevlmaIFpx4lUJqhkVWFti74as+9b8GEPNrI65XBH/n173/Kh28+Z3EWWlSasBXj2vqghGLFHp1Xvye1SU/VcmL3TC25nu7whQj42n3eO87SBFyfMrhdSb/zS1u78exV7VzwvC4eTYTt/Y6Idp5/D0loYPH02Jgd3X3oHUWqRblTCcPhtv72a1/f0r8H4sD9v9S9ya9kWZ7n9fmd4Q42vMGH8IiMjBoyq4rKzhZCIHoBLdQMQr0DIbHoBWsWbFiwQ2ID/wQbNgwLJIRYo15UC4lWd4O6hGiKquqszowcYnD39549u3bvPSOL3zF7LyI9UK5QciWXXO727F27dobf+f6+gyLdzmkUtjS3HWMUiCi18ZAxVAKQL/oRsNQ8k4s6cUjTjYTmGmGdPj9zFraWenExUm9ZdUWgqiuM3m9FclXavCi3s1CxpXzj81SU9kHV6PJalNJE65xqhf3NOXx+7udnX8WoqNGen88Tp1dSaZxw3dOc7fBOcDbR+YFqvU5fZyBr9kDICZcym5Ko1UFewEJcJyiR/XjNZnA8rgXrYWN6sg90gKRCTZlxtBQ6nDVIytSalR7oOwbrNS2wwrYfWFnBCn1n8FYTaKdpxkjGSCKXQKyBzdhTS6DzBtPGUFoCo7cUZ9nv93TbKw4ni1szgxQVvS2PrD6RwiOd9eAMY2fZ9z3z8aRhMqJ0It+ZpiMSvLHgDCVbXC84rzQqa8DXTD/0Cvp1hrwsiKw4U+hEiNWy8Y7OGDpn2LoOQmSQiqsZlzUlT0GJ86HySTRbS71kRoCl67Qjk3NsmqF00ZCVNWsX7dkceX45Y1tCrFrehhAaqPHN19da9f/a38+i5t/0+k3cLf7Od/zXv/mB11bgP/qNf/u3LhHll4UQsAJD53jz6lp5ZTUCH0aRjqcHSs68f3yH7Ttu37xmMXv2myvlzKYMsXKMCckFmVfGacZj6Hx7cM1HteQVSqYfRCOQxRJSJSGcxPDzwy8Z1nvAERBqnJjmg552jzQKh5BipuBJVm2lYoxs/RXboWfYCJhIqu/5y5/+n7z76ku++vxz5sMRU+DWe16Nht4UdhIxFHrfk6tldWgB3xbneYUffPKGFx9f8fGNkKYDRhziBDqnBPola8u4FcjWuFa0qxlOITV/WsMaNWlIxDR0UK2uak1Y4+kHCykqR02UOL/GqAIRenJe9f2pxCaKyRcls2kWYCqwcN1ADJn7w8yrl7fM64r3lml6pL8ayTkpQtza+f3Y40RwzjI3Tlbf999o1/hx0KTGo21uGZV39S3zvFI3G6xYTtlwvd8wjgY123DEkpjuFkrRMBI/NNVwTVwmPYKzHfgN17efkMKB+S6SStDvxEMWDUQB6IeOZV21qOFJyNENG6zvdUMqwvI4czo8sjwuSPH4654pJx6mhbs4wrCHvCdGg7U9wtpapOViQ/ahq5qKiNf2sqgITFGhRAgn5jBDLnTdSMUjErCS8U5IGFKrAmJsqvYm4Oucts5srXhjEINa5VG1pYyQqHirbiUlqwiwFrBeC19jNOCkppbe1hwKdF/TMJxSFB12rTVWMlA+vAacrZnOLhbnQ+nlTzm3y007JLZC2RoM9cnBohVN3inC8vyw5/NALpHycGDjK3/42Rte3FzzvZuJwa5Imlr3ZGC/7XAebGsHSxVwVg8tZEJRutHje20H7kfP9158zOuPXmCtcIozp/mRIi3ytwo+F2JM1GZpV6uigTFksIrQ6k0rYhVjIsaVJazNPL8wjF3jWFsVnCYN7LFOLr7HpyWy61RDkOd3GGvp3vzzvLp5QSrCuNkoOjklhA3D9SdYvyUsUekVYihpVv+LtJBqwlbPGjMiC650eG8ZzJ60JLq+8B/8e3+bv//9f8J/8z/9A4yD7c1nhFLUEtEKYtWuK6d2uPAaNFGLFmEGDQRyvXu2SWYtapMiTMbr/8WciJSGInPhvBuj9pHnNDlBx0dv/UXwpCCF+n1fxlAbY6mlBRpUGKZiPz14VnFY6XR+SSLlX7cyzFWFeQ61lHMiSN+rd//QCp3YXToCFqHmiDGOkAq5xMar1eI5pYTRJYZkhIQ0v3MVjpX2ulzPwkb993M3p1DV2cRU1GZdC/ZE1vHc9qBaq1I/nh0+Qc+YsRW8RgySz44wuq6cXykilJQ1plyAc9enqOVe33dUOVGlsBk7xATEqNBzP1hq6Qg+Y8TyOB2xFWKpdElT8GToWSxMOfMydrxwgWG0yLZnNY7T3lOro/MVN73DS+DV6x6Z4WQ3fLrRVn297vjIWJZF+GznWWzFvhxJZeZY4fXeMNqI9YUbC7HTvW7nZmKs9ESuupXRrNx0ga2vhLHDpCMuJW67xN6snAQ+3vbU5cTRL3zkI/teeFsHpvUeHx5UnPZ1QA57+hRxRTDWc7XtuOU9fS/se8+UIYQV5x1kkAwOQWTFDxlnK76c8ARe9kIyBuI9Xd8zmoWUZ/ZO19NtWggSuMkzw3riulb2rmJsxNfMHAt9XHkoGkiuFD89+jira3yOkVoyY9cjTudaKUmtJTdqQRcOic74dtjL3wmQ9s4jviPHxGazIa3hcvDXBFeL85ooOof5GwDePM8ffM8PXb9ViXtVe6CKWBo9OQoF78BZx3cVyWsulKAbgi2Rw52wmpP6v4onS48UuLI9Yhxb8QxZcNWQXKbmQooRStQTPBUkY8w5hrrD9DtGsyFNE8SVlGeWpbCcDtRSMKUgSdGnir5F7zuc7aihEIkcj0dSOOHsyhyO3M1f8vh4x+nxgCyBrsBVNzDYTO+hK+nSSk8lk2jRnli1rSoV3xuur6/ZjgPke3rJBGNIphBJnI/rT4u5brhq+3a28dHWy8X5wohyQZv+wtvmzJE1rlTkyZZHRBT1lCcnAfX9FE00bM4YZwTcOqEsiRgL3u3wvuc0BeYlMIyKRsYY6UFPlZIw2WCN+nnGGFUBK45ShZjOohCn/yzC2qx7LHqf3jqWupKjFkLzKeC3I+NwRc6VkFbEQS5q33NONMJACoGckvpc4qiiUJUbBqwpBNeRk3pZliacCDESYyCvhVMo1M5jU1YnCesIITDPM++/+oqH6wdub68JUQ9n43BFqZaUI49L5P1qOcVKFMHaDmxHLeEMriLIN71Zn88n0bSuc9uX1kGIKVyS9kot2NralVU5jqAHmmq0u1Aa8qsezUKWDEaRMtc6MPq7aGlx6pTiLmrmyjkqb02xuZc8dyQ4z/96Kf6fbJ+ej7NvJrx9c+2QZ8mG5ul1rRh/fpj4NtLwHEk+X2e6xdPCqihJ7y23147rfc+Pf++KTWdw4rG0yO5qUTeCFi3NuW2tdxDWWQVk2ZNC4vR4UmeeFzt22w0lR2KIxHUhLScV/tAhYgmhHTad0PcejCM0IaNgOSsMS410bqQfR3IpGOcR2zyv27MqNVHNk61aSTr2nRhK0ah2YiSe7htYoAdQU0F6dXAQZ3DVIcNOi69+R8mJMN9TssEaRzWqJRDnlAufBYoijzGsVCIlF17d7PjrP/6ET/4Xy8MpM60B3w1Yv8G5wpqaKt/SugkqUhOaX7U0n+2zTcjTyFCUmSdnAhG5pPTVqqipazSE56VrNcrHJz/9rM4NLv7bZ5u3WiucHXmoqhdo9B79XaoLMObsJvSBQWzORTca0FObgLV9rpwjUtSereQnv+WCXBIWa2lpkqhDxdkJRItiRXO9NJFrWx9rUXGT/UBQjzYfDOoM0jpAz7pBeih45kjx7NmrG4TuNRiwyagXs/nmh9f5Vy7P4CwcxVo4d05bd8k56IrBtljwoXeQBCk6v0zWzAFnhBmDqWo7KqtAqDyaiKTIUDs2xmKxXHfaZe28YetUn1SN6nOMz2wkkCgMNtIZw2wrQwnkEpRelR5JstCZFdvCrgZT6Jxa7vWSKSnQkejNireJra0K/pSKlcjoYD84RgsrSpOsdaZzK97OOBeQZAghM6eVwVdeDT0Uz9Z1zPmIc4krv+Die0oaMDUotSFFOge+etag9Y73FVcCo3OYtFLChMkrPQHnI533DEY41crYROK2RJxNKqhExX6jC/ix4qtwSoko+SJoFNMpINasGY0Oksu8k6JC9FKaXxxFbUBLbT71hmwUcPnQlVNiGAZyStRSdJ+29uLmpXPUXRgC5xRX4EK7+E2u354iWVRUVGuirEdG1yFimIpQM2ztd3OSre1ZysISVmwumNKRusi6Zq6uFZkpKB9m76/oc8c+D3SdZzIzS1h4OOiGdG7tZBa2m8Lra8emdsTygqXLvHz1O0zTxN185HH9mrjMzI93dEbYdTuc8Ug/0BvDrnfqBrAGDnePHL78nMN6YGFiXSc+//k/Y3r3njotXJfMZuwZjOD782QXPclXWBuq9i4PLB42RLoEP/yDWz56Kdi8IBVSL0jNWOeVExgLRgZF1mJBey6+eexWbIvgzlmjTV219FYL5FgypRNWCyYO1Cw4L6SyUFLQNqhYUq6spYJ1GNtpK14UvaulEIsDMeRm29QxYksmyYp0C/dz5We/uOPTT/6AOFXuH95iflc4zBPDqTAMnlQNNcL19lYnYKdK1XVZlZ/ZrHCuN3umxyPT4z2d0YAXUxzpmDGpQzrD1U1HTOBqYdgM1BLxCGkzIqXiYqW6gAxBXR6Kckqdq6TBEGvF7Te4uCEdj6zLA26MTO8DU1zZ7rcc1wWbDCVmjsXTu0os7/jd3/kh//fXv+CvfnHH//GnJ263J/71f+OauWS+N3zMuL0i1JXcWe6Onrtpx69Mx2IEUzOSLT3nKFs9MOXvQJNDjeSiKFYpwuCENN+xHt4TT++wxeCkw0nBJE2TQiw56om8OIO1DistjMaLcqvXWete6yjVUGPCji0kJDeP21rwtZBbqpfpIJIJJ21VOwTb0CybM9XBKgUxwlBU1ew7HTdhzohzSgEw8YOfNSejiISUFoqjLWUnmnB5Xj18VA9UvEWMIScwbsGbkWXOGnxhIkXUCVjKys4Ubq5H/qU/fsFuM/D9F1tcXbHzO4TMY9EI53nJGFPZjoLve6z3pKCG/oN1LDW0mPQFak9YK+6q0LlKeLzjfjpALiwx4GgRxN7hr0zjaer3kBJM04x36sU9PS64ziNOOe9TWNinynanbi4eCKcjpRTmGpsbkGWejkot8p41KAVHvGcUQ4iF6CzMR7X+e/wC+/r3EAYtXkwgphHo8GPFWOiuX7HOCxy+xrhKbyJBhDnAIuqrvBVHjRG/LIzdShVHLjOlzPz+Zx3/yX/87/Mnf+8f8T//yefANXfhiB0qnWwRp7SSkFMLI8qIyUiJGCzebJnD8SmM4Fy0iR70TC4qzKuCVLm4GdWayZI1rtt5MBoDDYArhJpUC9He07foW2My3lSKwhe4WHGic+Tc1SilUM2KMUprq6USxVFtZohCMZbFOUwWNqaSsroOVdTf2/mOimNZK71vCXgSsSbgjGWoHbE5EZVYkU4PEeLUiq+aTouRquI0cEztQCf1nASoNpepPM2tC/2oCdhLgYJtgAfN7kypI7kVPOpN/8QfFcmY5vZETUQpVNv2HUQRzYqGN1mnR5/zd2YEWwO+KwiRzgjbvmPfV6bS4fodzgWuOiHXjtJPZOPwZkd1DsnQ7yKvrz+CaeVwipxqxrpKXJRM/OlHb1iicD/fMXjH4DKDD6wxEgtcjx325prhCk6ngM9HuqFnv/NcjZE6T5Ra2L/Ysaae1x+95DAF1uPCfm85TkduXvTsrxPzaSGsR3yH8vr3FpMjbp3wxnKyK7sbw4vrkS++vKdIoVzt8LtC1yUkJ9YpcYqFXywT8XHib//hj9i8U9eudS3U+YTsVh6mI/fThmV+S62WHAzjZos1W8JyRwwnso989fCel3s4rRP30wO/qhNWItslsN2OsBPy/cpXeeJuXfl9u/LQFV53Qs4rcZ04bAI7Vq6943ScuJu+5jh3JFGoxMkGXy3TNDW/aeXJ5xIpVejEMXpHRJM2D9OJayz7fs/xtHKqFRc/vL8ZY1pWheO4zCr4lMrgPOsalJbk1DLQogfUzdicaKT7znry29dvT5FMO2RUnVSP04nNuAdjEecpTZH7oUtb5kIuIM1VICLU5YAYz9XViLXCMPb4Xt9oJVBLpuYFqYHeGtaSCau2HB9FW+hXu4xYhxs8zkUsag6/ZcPLfI3kRDodoBbmFNT2zRiGTnk9gvouj97x7u2B5XTg3Umjph9+9RXEhb7oAuAQ1mXGeo9UVf+mRskSo7aoKpaKiIcXNwMvrjaYGhGUm1dKxpq+Pc96oQnEoglfldoQRbkALpe0o6qyidS4vTxDW0rjyqkJVQufKFp0n9PHlK6iKIr+nLpG5IbPlLaAnnmfqWTlszUk73B8xGW11pHW2kwpMx1Xrq5vm81NIqTmu9pM271XxCIXYTotmqBWhTlE5uNJAzWqYVkWOnoyiTBHjvWkBcNgqAxsBnWMiDFiXKT2ihopu6Ut9rlcVPOKeCo1QL1jtfhLMRJOQQVSOWNqwvWWrnPM88L/9U++4K/+2YGH4NjvN2x2L9jYPb5arFVf26Fq7LRy+QzVNJ4stfkTN1i4mvPh/APXGbFyOtZri2R+Ri0QsViLJsxc5uGT2E9EU5KexElP399FyU4lhdxM2/X+jCiyKUYFPkaaj/IzL9FSW9BAqZBpdlFP99DIzFoISeNcfueHLQ1tcsqtbaIhaZZvjQlJdjR0WpELSmWewwV5tZ1lng5Y19H1wm7T86Pvv+TN6xteX1c6bxFRfnkqCVq7n1paNLPO+RqTBiFU5bCusbDGhZLagUO02IqsquiPkVgCOUT1Xa+Foe9xqVD7nmrOSvFMRi4F9NkH2TpHbUl546j/llrMsLHKsy+lkOKT17BvIShnG6vzmFDv46KHnqoH3XU5spGCtdISraR9x8rttcZjrdd54xzzaUVsQoxhHLbgHHFeFJFs3z1JeY9iNYbZVHhxXfhbf/PH/KM//Sm/evcV1zef8u7ugeQzrgPbKdddAyiEizFw4w3bZu92EcPJ05g70yLO+0iMsbX/+ca4pB3SMhXJAqJ+x2eU1DtHquGZF7X6JPdGqV/ne7h0z1oxWLnc6odH8DOk+3zvvqU7nt+T5qRhRPUCUqQ1arT41PqyOd+Ys9f8eSrpyVp5ok+IniLk8g0B8PkebL1EgTSwr3WZ6pmrr++jt1Gb7OW87zxdz6lPz4H+b7+Ob/3M+Xlc/tSi+QWlYHLG1LX586uIXHmpFszAYcncjRrM8ug6Dqz0a6F3G6rv1Z2pNN/yUsihkJxutIJwF5WuYsQQvWexPfeHiWG0dDfwUOCr6cTBwbrOmNtM9T0nVh6PCw8PE2707LIjVsuSYD7NlBq5fZHwJB6PK4+y8PZ05PUUuF4jc4XjvHJ/eo/NBz578RF4qNazZuHhcYGiia6zBE4UitvQOcdxOvEYHzgsC6fDxFThOE/kghaoVNaUebi75+7unv3NS2ox1OJVTL6cuD9OXGV4OATujwvvH068mxdO8x0nV/ne7yW2fuTdFHn/+Eg/PXLVeY5TJpg9pS7KaRdzOWR579t+883vN6Wk/tnNq/7ceX4+d4358Jp/mSvW4MRhUtRuUOvoAhoFn7Xr8yRMbXTS3/D6rSmSL+3O9hAfjjPdOPMwR6rpsV3PdyTS0u9vwTkKzdOwqPVajolyPGCdo+86xo0hmIkshigLtgr27oD1nquxYyJxOiyklPjZ2/d0Dt4d3nOzv+H19Rs2445CocepcMt0eBx5XljDxBQDta74rIvd1vdKZk8Rn1YygeN0z89/8hfEZcHmyEe90BmhFy1iVmBJSRcjpbnqAm00lOHxNHOq8OM/vOWHH7/khx91yPKAlw6LgWJVfJcqUgwVQawlrxoPXbUxjKqPm0wiF7U2Mrqh5pzVlN1aKsrpO4eDiFVxWi4GObdyjUGqbn4ZTbcxVv2XpaYm7KrkViCci7SCJoFhHTFX1iXi/IA1HYPfYOtMipEX+z1d14P1zFWozmrinZimBla+8rARyvxI1w+Uh4nr6xek+o7TYeXxceLzz3/Fzc0NP/qjH/FF/pI5RDAdWMMpV/Yob+u0rBTXsTWGdDwQ+7E5cijv1VtHtYViM3azw8jK6d1XbOjwVZi+ek+fio6zNOONZzaJq9c7/uk//TP+7p+856sFhu+/xv3OG+x2gyuBU3xkXRIb2TF2I4aVXB25emrxavRvILa26HnD+TZ94HypIRboMWuh1kJF44XVxaAFBeTSVE6tBjUCmUuC2JnrekHG2q6Z7FPAxrrG1i42TwWYSeRODw4YgytCt9F7zylRqhaLlqeWq46hrIeRhHrhSqJKpJK1yv3AdS5iDGhhJ0+b6/P1ZbY6t3xtB7sK+91LTqdCMbBMD9xcdbzoR/7FH3/Gpy8HXpl7yvqOgqOuiaVoC9w1L2aZT1DBFrWNi6fMcgRxFtupyG7Nmc4YlmnmtKrAyvqRbvTYasghsc4z06zcud7rASaLwReoIuyvrjitgbv3D5itoiXWdepLXmpDVXS+T8eZKqs+VyAl9VJ9HmThnLt0YJ7Ellza90Vg8JkSZua7X7L57IdgR6rtEDw2ZgUv0qBU0nGPMY7cbW1qo7QAACAASURBVIluIpLpjNXgDZORTjnqiCVJgWlFikbUdwVqqtzahVefDPwX/+m/yz/4x3/Ff/3f/ymvug1fhsgaAtud2uDVXOiqQ0wmSSFnFdf6oXs2TosK886FVhtn0ig8Xs7R5OXihe2b4MueizojuFTx7gkdNsYwXA+Xwro0nnxOjb5RNNToTN0arCYlJttoRFZ988+F63njXsNKqanRClrRnpTjL65exK06RyDl5nBRKtY6ZPtETTLGQVGKBkVpWXImWRRAiiK4qKNEPVtL8M31RJojhVK6DOlMQ0uKwEsTYad2Zs+tULbW4IqeDM56gFoUNGmLViPKtL1Czg42zy/dY2rNSOcwWMZGiQnrQpGJpX9HyZ6YKmtZeHg84QbDOFzx9jDwV1+/ZU2RUIQULW+qYz84prRjsxTiOhGyQWrFlsBgDG5ZqBX+/Kt7cI6pjoTs+YufPfL+/S8YNj1h8ymn2fPTQ2C+e2BdJu7dNa9uP+btKfPlFyfe303Mbg+bnrs5826Z+fo+EpeZ1x979r4jRM/nx6/58v7A65vIzXXluAinbPnZFzM1zvzRDzxr77gLllMZsd0nlLxQxje89Xd8Nb3n4SFyYz2fjLe4arDzkdtux9u3X3I6PVJSpXOFaZk5Jfjy0XJ/HHizjBxOHdPsOD46Hu8zecq86hx3c8fdqeNh7XiYM1/PV+Qukc0VmY4QYI1XTIfCo6jd2qlsKTYScwYx6iWfEq5X5DaXdBG4VuXn0fUekzU5+XiY1Lc+JyxK9bTuO+iEVq1BrdG01rPDFah2w4hlsx2x1rMcH8nZUoMe7tx3ExN+7fqtKZIvV1usvfdYMazrymId203/nT+y3VzhjVV0JyXSGlmxdEOPcZ4lqjhoWma8sSSEVCzWVNw805fCMHp6r5GLVgxj7aklMZ9WeruybAJ5nhmMY7CaoGOsYxy3at+UA+tpIubEaAw1F7bWIs2reA0n3s8PvDvdc5gnTCnsvWMwFVtQTs15AWr2bGf0wZRKJOHwLAHGK8Pv/e6nvBo7JE14pyidNYYO98QDa5cKEy1U25TWjYvcxBG1oX9StRAv5tc5mrUFLhS0qC2SMFkUwca2jaKC0ZQrU5SfLWJbxOsTsvOkgFbeawyReQlUAeMaIlXBGk9mBbGcloDxCnjGkun6/aWtmVIiZUXXlpTJdSWWSi6WXCyPcyCUyouP3pBi5ldf3SGdp4aiyV6lUVHaRlGlFXXOEWOA1E65IlwcAmiokHNgPBV9bY6J0+GRTT9ompBVxD0QiEH4+t2JVcBtHdevt7z+3hXVLiz5qP6RqZBDpFBYM99oXwKNVcivfT/fPZ3a7sU3ERyDor6UQpaMeKcdhvPPGKNUBZG2IWq6GOiiceZyprbJl6p0UA3lKFgpFKfFSYYWNgDWGyiKJNaiCmjnFA0w5Zkl1rmAb0gsKEdd6odXN20f1wYOq+ettDH+/MooclSVwE4VWJeoVBM0WvrV/gX/3Kcf83Ij2PxICg/0oh0UDVDR33NOc3INiTtzqFNKhJgVKa2d8rarkGridJxJWei3HuecpucZQ23hBGeuayqWEBK5CnaNmq61KlK2xkBfRpxvbiHGUrIKAElGN5mqz1rFaWp91Pc9vq34IQT9bqraPtpWQKecL5hiTZkcAzVXxvUE4QR2BNfpac0IkrVTgHhM1+nGttmxKYF6mAlRLe5oyZ9Uh6DKftOCiEggxgKFcLJsjGc/wN/8G3+E8zf82Z//lL/7v/2caZpJa8FkC1mFPUqZVUcefY/8NIa+NU8uKO/5u2p0nOdFsmuhIefEulorQ+cuaO4letrqfCqlXrjwIcRvrHNnMCDF1mURwFR1pshPNpkXtLdpBJ4jaTTh3MXy8Vki4PnzPaG6WWPDa2lCZkXnc5vvgt5DLU9rga7HBkTT2D50nfUBRYSangrZ56jwt11iznzp89x8/h2ANo9K+91WLOc8Mnl6IVYMBQvt8FxSYq4rc4jENVNN5FoMxjtsBkeG6khZmDLY7pYQHgmuqnDSVE4pMoeFslY+yYaYKrkIYh2DQ1MIsz7PG9uTBXrVbuPp2LgdXjpcGeisZTdew5zpB8+m29KLZ3Qdm92eNQbGzQ3Ob3A+s9nuGeMN3o1UetaUiRV6BkazYWev6EuPS3o/3XhFNRZxW4rriCKYrmfcXBNDB6ZnLYapCm+XRCDzev+K6+tr1uNP8L5j6zpCN7CRng4VwhaEYXtLH4Tx+jXGquZhs9kjVYgystneYuyIsQPD5ppBPJt+C11isIJLkW3nlfe9v2Jwlru7B+6Pk+oEjNEETtM0TG1tz8845iLqVV5rC/sSo7HvNJTYVO1ifse4FK/aiPN7Ph9jZ7tGnbfftDZ83hX9Ta7fviK5PcjRweArXaMsrKcZxg//yEdXH5O2M7e7LTkm5nnm7bRwTg1K9CzVU09gRZX2fQ24muhrYYmRIhnXea5fXJNSYlg8KUU6b+mlI8+RxQiL94x9j3hDGXp6Zxn3VxQD6eEd0+ORx/WId5bH+69xHpZ84rRM/PKXv2SeTmytZXAdOwyncNK0spactgISFdWV2rhg7fRdUqQfHb//+5/xw9/9FH96gOVAt+8x0hPXhSIFkgozahNUhJTJUpHWSqUIgsV4q2hicdSza4A1l0ho5ZKBMZZQmwhPhIwhYVrEgvoyXdpm1bEGTdzyridXIcb5WSvcQFOB5zmRckUKLGHl/nDEXFlCzBzeH+m7ntUEjiXjzdnHNVEq+FETzXyLi76/v1f0fueJGbADv3r7QFgyU4D3D0fEOGKCh4dHvEvEObLpB17sBzZjx+P7I93gGfYdPUJYV6bpLf2wUXSz3TcZpAhiPdKPmLJlu78hpsjti1eExyOpCA+nlWy0G7B3K1//1Vv+4T/+nHJ7y6cvP+IPP3nFH7+6ZbdNLOMW/5ipIpymwrysTHlo5q0ZTMZSsBIvyMxZ1PPdgZcZsRHEaUiBE6rTFDItMOSyeYakgsjS2qu1tW2hoVBtA8w548RSpFlbtVaugsWCaSEDOURsykQnFKMqd2sE28aZii11HFKflPHnhRPkIjxMCSgWsI3i8+tXSbk5iGjhXc5COs6Lrj6js+CnVktpKv9KoIjBV/gbP/oB/8pf+x3qfIdwxKZMsteEWDHru4uLRimlHeQstWgBNTYbw5wKr24GtTRaF9Jppp5W5qhFXirCHI6Im9iNnpQyNldyzJxOaqu2214RQsZ3laEqnSGGBGLZ7vYaedypn3cpamPpW4LjmUbhew2hiCkA5zmtzyFGFdOI188jDZVJJWOqw3tHypF1nrDisF/+FL78A8qtYPorGpQOtVLEghOG/Qt8LVBWlqHn7vFLcszsdtesS8HaoVF4KiHBxqtfMG0zpYJ0VlH3rqfEyN/6l9/w7/xbf8R/eNrwZ3/5Of/t//D3+MnP33KcCydnWqiK0p6cNUjW6PdzvG0Vgfzh+aHhMvKNIi7MKugxXh2Acs4ca7xsvGdairE6Zkt+irTO7X3OBbVazBlqVWcRUxNSoCvCWn+9SFY6xZNPcynqauSMvXg7l5KUzmSVQiUm4ypKF+SpwChJEe2upWZqaIpGaPtODwY02kTJ7XDb5vvz6GWcVbtCp6BHKJXu2UHgTLfwLeTnHNEMT/Sp53O71rM1nCZcKiAjl7X1HDBSK+iRK2OMQ0ohx8IvpwPHx1W7KF64/eyWcbhiIzODXPP1UZiy4eEAR2+56/fQdfjYM5bCvZ+I85E5D7xeHLJ4DlPmeuNYpNKtJ47TCe89eyNYb/HxkVw6Xr3cUdzCOGzpXMc6R7bWcr1/iR+ET1+8IpXMZjS8rB5XN3z84oabbc/x7h2Di2x8TxHHuN2SY0QGGMqWG3nJ9f4lvRvwYqg1sxlvETsy7l5i+wE/VEJSR6PR9Vr8zQumQNwNHEIi7K8Zvvc77NOCl8JnJfNqnum/njn1X1GWhXmOOL/DdwN1OzKlmeP6qLHoznB1dcN+f62uRCkxjgM7C96+wA2BzXhNOs7Y/obVLHrAFMtSDpAyJah7RRFR3/JaqaajZKVXisjFdnAzbFjWIx+9uKWERFkjuSZMFcR0iFRS/HDKaqxZA5HKuaOj+q1sEl2vnZ4lrpR1JpqC9ixVu1Ldh/eRD12/FUXyeY0S45TzaipzmLG18hrPKF7bpN9xDdd7StnQrQMlJoaxsLtd+frtew1s6AdqFQ5rZee1dBTryMYwseCdpthZa7g2HmNhlkrOjnG7US8/r3GW4eQ5nQzVFpLPiESubl7gjCW+PELNvJ1/wdu391gHOays7w/EdaX3Ha+r8MKOZFM5lhXJnjUVllLIYknGMNSMT1rABApRKhmH23isF7ptz7u3X3DTG3a2INVhiYhkzSVXV3yWmDG2uyhN5xCpxmLGgYIQmqeprQOSE4aWPFUKOWn++RnNs1GLZUWXIiUmkqifsBiDqSOkTO0gP2qr8eZKebjJJJYl0HeGdYlqLl8K2VZq9dRFgwbKXJnshNk58nxg7F/w6C1TWLntlDKyLoVhc8UxBI5v3/Hy+oq0Bg5376m18vOfTpQ5Ex5WxGSMEz7//GvePmZm2TKFme/9rmFfhBQiMQm31zeEankfCyUcsS87SDOn97+gOwllt6V6Tx0MfRQGt2N2C6noM/Hes55m8lAo/YAbBt5++ZZTMvjdjnHn2V7f8L//6S/5yVcLww+/T7cbePNmT2cs6e0jNxvLahZK3+HkmvVRmExi3mzwq6ErFVszSw9jfOICnk/qH7psV3GmByzZZGpN+E1zz0gduZ4wJKT0uFLwzlOqqpONs5ydGawYvG1hLTmTrJCrIZfEZutJRGwUKBlbQFKhM5bF6GJnkmidIpo4pZZQghOH7RwlVsiJzmrRmqRSrbCtqlIW22nRbgzTt9NI2pVsooohVkAqm6QdjNjgtLP9FyuqczCafpjDxLhN/Ks//gM+vb3mpjdMx3fUlOitI2O4v/sSK4XdpqOUQCU1XqgHDOO2b5QC7cZY8YQlQ0rEObGeEl/88ivIwvtpomIYtzds7MCVv+KYjuCz8m3nBTIcTpqGuet7MMJpXSBot2VztacKBIlILozjSNcZQlix9knMsqwr3Tgwx0SRQIoZVqUY3N5uGDYj0xqxvteCC7XfS3lWtKs5suQSOL37ivnLnzKKpV69ogwbxFYoBuu9crKdCtjYjuRwzXD1Gdm9Jy13UAqxrHrQkqQHv36jcbU0ZxRRTYM10JmCGYTTaeXr6S24jh/9YOA//8/+Dv/rP/yc//K/+vscbOQhCHk+0HUrj5zYFk3MBPBVsAVGP5BrIRhFaX3OlJzPJFtqqSwxUnNhVaM0bApt7SukTj1eyZBjxDlHv4qutSWrKNDroR24cJWfB5NIAWd7tTOdFwYHxTcedY5aMAKIxVjXnDossStgS6MgwVISS4mYCp1xEKtSIsTi1ooZ0sUfWuJTbLG/oGtnPndt7USIvlCsEFJuAjyFPkqpuFqIFEJYwVg6b6jF4IzRe+WbBfGZC0o1OA15ptYErRMlxhB8S6yMoHHimeh1LRW4FOiBiFgDKZGpnGrAyRXIgTUVvGzI68CaIsUa7OhZhpG7x8QxeB7KwBdlhVDYpsASA7mfecmGUjK/YOG2evq5404qJkVCOHAcAx+VwlXu2XSwqQGXC2vd8H7IdPuCG3q6NXKzD3R1wHQnnDyyGXfEeebV1RW/Wu95sV+52VkenGcYemw9IsmwYeGLeeXU7FQlQzCO1XcqxFsqpgZqB3OxuCmRlhlrhSVFdpsN1fbYztIVh8ywLIntzSvc9oqvSs/7+wOD3fPy1TVjuOP+Zz9lqJZrMu/nyutxwzjtSD6Q1gd2TjCy5fiQeOM3jA6qy7Dbkh4tj34k28TJOZYI07BjHTzO9Sx378nzQS1q14QEddKR1rGzREpJOFuaveBA1/csLpCKqJVbLaSaIBsSiWrhFKJSAT9w5TW1MW0b9cmonkk09n26n3h1+4J5WpBO66BUErjC7P5/iiRLQ6RAJ0pKiTUGrHfU+t3mz4PvoCZCcUSEkhK5eoZhoxPfOGrRdhQ1P2tXV02VE4dYRQ6MWEyF3qrQxfc9roWBYDokWeKaNaO8LPSdx4olGaG3no1zeDIlBuZpIS4r+bRQQmUwATFehVJGlPoZm+UaqrqvWSNK1elUAwiqcGnDlRyoOTL2O6Qp+C+tt3awF2uoYlqMMBQrjMNAAnVCEG1hnZFiEXWpqOSLwOvyfuWpTXFGHgBs5ymxXtBlcoGcyMWhxn0Qs9odKYL8lGaYG2fbi1GfU+cwNbOskWHb4V1PCImhVoZBXTVqhpgDh8ORaV5x2y3TNBFOE2FeiGugFFjnhTxF4hwpksBUfvr1A+8fIftKJuC/NmxevQDnSbnycDqyLT0vXuyIMRNCIswLRiqj2YFxpFioLtGjrUmeCWHORWrXOW5vb4l3Xyvd5JRZUmKZK/3H18xrpFjBdSN9P+LSQl4iiw+4fiDlfOFf1bPIzVi1ETT2EsbwDc7g/xsnWYRaVLhijU4uY5+EQOJcs89S3qx5xi3X1Mmn4I2LaK+1Qc9cwxy1F5lza+k2NCrVohZ8mEbTOVM5rA7SCqDWgueNNTf/1PMYS40Xe2a4pJxx37FgkqGQVTRaqwZaVN28K9BUvRqKUgqkFW8NH3/6CR+96fn+J59w5SGe7kEEoVwcX6TxMZc5gBSMzc2mUiNUU8pY8RqaUQrLqnxNy8oynQjzwjTPlKhepmsuPByOuBcdWHDOXKy2rOkptRCWE3bwF7P9M1/zIkpr38kw7rBWaDIGQtJwFx0n+rlzTPjOqtXlmhEq62xIweC7js4alrBgFYpv916VKgSQtYMwTweYHhhLxLaAHU2GUyFVyZkimZQDpSS6riNFS5gD1j0Jus7r7zda8xe0UQV1NmvnyVpF85a6EhOYvOV7H18x9I8cQ09nHKH5HYuxUFQoV41gMTgjNOIxIhUrZ+GaIbfgIhBsUY/kvp5pYq1Fi9DbZ9uktHhdbxURLUI805Fawt+3/5zR1eefmap6kdJQZJCGFOfLM1GKk4Y6nYV7piqn2junPuSddhuNMQqetzXhTFsUkxBpSYtSLuuFKGOwfSdq53a2zDxztp//OR/Kz8mbagEpnHcffcn5daYBJ63bZAy1FhUft88mbVKfLe+ei/TOnz0333Tb1pCcKtLa67kU7BnxNobTtJBC4LgElqh2ZGteiTVQgT45aq5kqx7KNgklFkIohFSYcmVXHYWOmBbWWlmM0Fthtx3xsWdeYKwwlIKNAZciVqDagHVFny8V7xyDRPZ7wblATgeMU+u3nfRIKuw3PfdrolsddTpd0PtUImsJ2g2ajhjXHIVSaePjaW0/r/u5atCJbWtvaPTAWivvHx5h49lc7+mtYB+ODMBN78gU9mOl5oj3HQ/HhVB1PXKdvdCTqiqxdW2xZ6pCIZTAKpmQtCZR27p8oTI935VC82A3Vuua3IS2eQnUnLHyJHgdu1FBgFLVM/87fJLPe+G3dSfGGMZ+oCR9WNZrd1zTRZOKdb+ju/Sh67ejSG4bG6CzKDVv3QrzuQjIH35QAL3RDdh0FoPanhWz48WrDTElpmkm5sS1V/5jKeXJJ7bbYArUeWVJkdJZnKDxid7QDR7T9wx9j3GCZaQ/rqQEwk5RN+8Z+wF6T+kcD2mlW2YeH46klLkZN7jBMNgjvSSK0eI3l8DaktRSs7qzWSkXnFFd9MDfW8N8mvjse9e8ebFjt+0gZmzygPI+zxzfUFS4VJyjisH7TovzxoOLORNiIlZtN2qqkQopaKbf1io1pWZNwCpGvV9DCKxJbaTq0FNSQEqllqzRkOLxVz0lRU5nn+d0FrYof6/zvS6Ic8BURzFGFdnecHh45M3Hr/jzv/wLrg8nuv0t+/2eHIOmZIklpsKvfvI5MUbeHyZO08qu37POgYgjZuHu/pGH0wO1wuePMC3gXWI7bhjzjn/29sDL2x2jNRxiQfrKJimqZDLUAEteydevENdBRN3zOg/W4GsPKeE6S8mW4WFPYUFev2G5f8t8OOJs4tX+NX1nMf0eO4789X/hrxHHT3izgY/HB15tLKu1PIpl2/UY12H9QDqsHI+FY59Za9WUJFsviBs0z1yeNqpvXzUXvC1cktNQvqkbNuA68kkPaNYqz7uGQKHSOUeuFXvmETef1nPyoq+o8CgJdW0Jd9ImodVFzVgLNYKIRucWbbP62kPNlHzmMyfElksb9qyENsZo+888LYKUwvAdy4BzHQ6wLamsrE10iPLuU/PZLa6JPUvAOcsf/eANe3/ClgfWU6KER7bbLfNpIcaEoAt1Srl17QUvliqWlBVpdLlQRmEWdVS5O868urpR14jsSLUjdnuME758+46McLXd87gEfvb5T9TZQkTDgoLHSMe0Hri+vWV39YKYGw/ded08xWLE4K3GY4egnjNd1+GcY3pQKznl5DlkjdRUMM7wcn9N7ztiOjE/TuyvQGwlT49sthvWdWUNM16UDS8oJ73vPYf3nxMNjN//AVUS1g5aEnmrlIYMJmsHrOs6uqstCxOHB2255gzOdoix5FR5uH9k46DzlmEcMc7jd4b3D/fIKoyjI6WTbro2YLkiT4Ef/f5r/u1/7Q3/3f/4E9bsiVIhFZbksEXj1qV1LZIxrFWtzZwI2eqYUBquIVf1b7W+CTmzoUglmkypouEpbUM3xmhATIuydsbQmb6hV2fu/3ny0Q4cGgpSWjs4m4J0jpQh5nQRUQrqoPHEmdTN3iF4DL4qbaSskRoT1Sm9xPaemBJC0rXcKBKvaLLFmIRzINJ+j4iKrUu9hDzlRr3wYhu9TgvXglKlpBVFVSoihWrU/UMLZbQwSudi2V6KxYuwsVF9YkvyrLm01511LvUbrgbnK0S1hXWAjxCsfo6CItbWOXUyEvjqyzumWnl0G+KwZcKRltZTKIW0pubYUzkk5eHXk7DMlXe5clyg0OHqnpANQ4K4nki58od/fM3Obvh6vmPMCZb3pMdfwrKSwztmv7LfdIBnORbCNLHIAS8zyyTEmNleKYXJ5S1pDlyNle79jMsTW+/o8VxfOcQnSgeyVEJY6G0HjUuccyam1sloibSnoLaSznj60bG92tJvPNWoDeV7PF/N8Or7nxLdkY/MSJ4W3t6/JXWWbf1z5rueGgohGHJncL3QjZYYV6oYHkPiVIT75cC+E1JSsW+IkWOfmMOJuh7YtiRXb5oQU85OWC3wxxg9VLR9y+QKs2YahCWSUmKOkU2/4ex8kVIirx/mJHujtLdzyFVN6oJECTgDu3FkbT7y4XiCUnFS6L2lG7d88eGt5Nf3lt/wdf/fXRW1RFoiS1iJzpC9x9sOTbr+9SvFGSSTc6TWDEZPvN7pZrsuC6VAKoWcdMFM7WQzT0tThBcojo0fdYEtjS6eVWnfVS0QO6uKaiON3/f/UPcmT5JlV3rf705vcPeIyIicakABVVA31GKTbSZKC8lk2uk/1korLcWlzCQTAJJNdmOoysohBh/ecKejxbnumQVm0bgEH6wsqzIQHh7P77v3nO98Q22JVQaQRC2ReZ5I64ypELAM1uJsJViLq0Iu6ZJTr5uHsCbBCXR4ErlZ6ny8J9Z64inxq6+/4JuvXmLsSbUzVo+yKlU7rqoiiHPHXkSN12LWn+msoyoEohuN80j1GjtqMrWoAM8grShtHX/r5s6jTGMtzlvWtVJNwdSKCUFHtt4jzrDMiVwyvVFrM4zDmHTZDL11EBzHeVKltfVIKYTQE9fMuibMUChFmE8zKSW+f//AHCvHw0quwvvjiekU6WTluJ8xt68xoedxCTxNijoecmEVdWCo1vGFHVjywtNhYe0MV5tAwRNTwRrD2G8YfE9cF9YCuVpsMYr+OEVynASqE00TwxFCD8MGc33N81df8ef/+E+kvPKs9xoWsmaGoWOz3TLHxAiMnWGz6cm1kErBtHGt8x4TKmvOrLaSjR58nDtnp768jT3MX2rCz5c1hnO4grGiawPLMG5xvmORihTBWuWKpfKR0mThIp4zogW3EVqoSLqgV4L+WaqiO6khHd57RYiaPRqAFYvzuv5qTYpgGWGt58NWLoiXFgnmJwiTBl18fsP052AMlPOOP4+6ATH4omiU7zV5zZbMdnBsguE6WCStVDTpc5lOSNU9AtFGQtPd9GGsRnBVn5Gq5y05V7JJxAxFnApR2/upVmlUox+p5kG52E6DcYoRchGWVIg1U61G3uI7hs0WjCXniAtWp0A+cM5dFjGkFo17XhcVg+tCm+Bosdr3PcenE7UT+jCq73pcmKaJPlhqVsGpNDTYoiE6Fk2tqrkgfcGUFVcWyCsmJmQIyiU988tFqEWt8DrvmEshpRXjmi9qdS0tVFQTYeulrryINb2iySVLQ9cyNUfEdQzDhmkxxCnzD3//L/nf/49/5uFxBR9wxmuwiZUL7SEX3a2qnOkxahdXWjMmTRldjSGcJyWi68faAmKxOPWsR+0Mgw0XNPzTlEdjzCd82p/+ed7vLgE1QGqc3MuY5BObq7PY6KzWv4jdPuEKnxMqhYpttBHDOQ67XhoBjW4+41DnSU0zkRRtBAR1sPjLS7mjQDGET3IKKlogK22q2Ye6T5Bh2kBYWrCLOf/WagNq0CCsct5n7E9R64v40amtaanqxQzuYkd3bp7PPOb2m2PcgA+jNu9de8+5UqNaoGIcERXydSZgnWEVx1Op+CgMNmDchk0VrgEnhewCdQicBsPyuJLSic3pPSUK+9MH1nLAuzvicEWNI8sSMSTWkhgGQ2e9AlUGNkNhzWDJdMEyDp51njAsBCK1WGKJiDhCcBcrx3NAh4haR3ZdpwVkBesCnfPYnGkZ7ZSsaHzoBp0SDtd0faBO93jfsek7oq30edGpdY0Eb/HBUyiqSWgTklQgW0usmsarP1entME5jqJJtcpv8K84TQAAIABJREFUVzTpLPZE1Epx06vxQm7gpA54tIbKObMsC9Y5BWfaREaHf44lfp6T/DHg5yOybq2lc71qZ4In53ZmSkfNhRxXrVfyf2Wc5PN1VuKaUpnnmeO0MBv1HL7aXEF5/Oz3LXEilpklzU0EYAnZ4xG8FaQ3rBQe1kkDfJwlRuUwWmOoCdZZi9QULDYExFiKtaTqSSvklBgHy7qctKDImcP+RLCJuuyZjo98OL7ncf7AJEK0HeNo8QjbPmnUaBuJqnewaY4ABlOVh1nPCmQxGufZFpprI+Lrred//Z//NXdby+n73+JMwbnQzOx1zIWrdMYRS9EkpKoju2id0lmcJ4j6CB/zjLfqhoEPiLPE04wUpYt4EYa2YOfzQwqKDpZMHx0mJTofyAZWW+lqJsaM9UaLqVzYhAHvTNvoDDmrxzGdHviSE3FK7A8nbvuBeYoY4ynNeun+8ZEffnjD/cOB3//xQBY4Hgb208ISIPSOm96zzo43p7e4MGrMuNliamFdTwgG13mmZeI4nbgeRx72R1yNjEbR47ubVwQbCHSYAtNx4dkXI67bIlkgVtg4sghedIST15UihWHcsrhMd/uaq2p49e33vP3+zxi7MG5u+ec//MDWCuvhPb+5TVxfb0jWcD9nTI301mClI2wt0VT2MZPGa5zdYGTA2ACsepaas4pfOX8/R7cQEeZYG6pkMMaDGbi+e8np9IDMH5CiEbO2dxqYUOVjXK9Jzf8aTPPStlZDB6zt8L4jlagHYa3UKqymtsIyU23FNR9no2qdFkvefFwRrK0U4zVl6UyzaHG6IbSZcKltwCSU4fNbVo6fOGAYqH0rLBKNE6cFR00rXgrfff2S51c9tz7TLQvWJawVLVCroZgF4yHGQk465jTVIaDCElt1vF0NDo3llSSUCl4882lCGl2oSMV6x7LMbLcjMSeOTw9s+h7pBrzrKHlSX+98ArPy7GYDrmdeInQZ4zr8OGijZB3Oe+ZlxfoO36lt43FaNDhJNM7dFkHmE8uysNvtMMayrIlYC93YMbhrYi5Y6zieVtY1MY4jUgwPTQjbNUpOFsPuZoddFvL9A64OSPDqjmPVZq3mjCS1uFqXhRgXYl6Z44zNC0N/pRSWAl0/6l5kcvNJN9RcCVvHuN3w4d0HTd4MiTWe8ALFfWDY3DKd7vnFN7/m2++u+fCPb5kPBZMNQxhYa8RVQy2FU1rBO8zgCVjVwFbl3+IMOVV8o6XUBmLGqoli1IxUhy0DNlhSLVjU2aSKlnoi6vZQUivCm6/U5Xk8F4yiVKRcKzElslRi1aRMaywOuQAeZz/ZM5IsziLeEhufsljAO7o2bcklUkvBiSPFGVMS+Ky0wqLPvsIofESOm72oZNrn5xEM0Wgx4mjIMYKJn8Sq6ymNMwqkqK5AG/BzdLC6GBhEMpJ0T6hiyMa0tFKlo+fmvlGNwTl/8fA5N8W11kZFbfHjroDTEBjjrNKIEJZ1xaDCwkCAbBEqvfXMwWBDUIeQukKuDL7RpqyhK5VMxW5fsOaZH5as1ovOsi6ZtSzceMerp5myX3h/v6ecFsq65xD/TMmGJe85HWeuwoa5Vxrm/WGm8siaFr598TXeDEyHmaudZ2UBX4DCuN1A6BnjB0pO3A2Z2ayEzlFxjONIP3aIVEqjL5WoThDn4tm4oPHLxmpDS+EUjywt1VVSBOe4vX1OFwy/+8M9rIUxjHQY0g+ZKX1PZw3PvNIAfzQQRsfcEj8nMUg3ssoT+IEqmVwT1QnbtbKfEsSEN2iqJoI1DoOhcE5Q1clLTqJ6gJqpRZhqQbwnAzVFumGE1nCWonvTGDoePrPnG6AW1VIYuFg+7saBD/eP6qZjnU4WncHiMNUROsdut/vsOfK566+qSAYuQrHzOOHMI7TW/6xPcq6JnBV5VrS0Y6hgasEaCFbTlYauI+asARCSqFLZjOGCjpZUWdeMZD2gxakNXRXIqbCQVd3sHDlX9tNMjQ+sx0emwz1Pjz9yv39gycpF7enxDQV0VIINVCoRqDmzRuXP6VhU9HAu58QhtbKyn/Darq+2XF1dYeXY0OKKaWlqYBFbMEat8EyVljamTUZOylUypTTXAttsoJQu4DpVEF+sfs7d/Cd81HPXXkpRh5BBVdf6UEOxhk4MqSaq2CaAt8oxdIp+nV/TGMNaWypaCNQukFJiuHkGnPlGitD6saN/2ON8xPkFF7ZUueIpvmfOs0Y2UzS21wrzPDFuDN5UTWBBD4qu9yw5siwTvRnpnKPzvXbLKTXOdSbHhK1qVdYNG7USNL75RDt9aGpzIIn6u3jfMbgt8+mJLPD6i69wGOWhXW0IIfDi5oa1CK+uPdvrgVkyc8lsEUbnG9cxcEyJ07qQzLUelLVNBZpdm5gzoqRUh5+7atJDtTZLI8RgjfpXOqsWZEWEmlU4dUZsQ/joZXxBeDhziltsrG2Itr7sR86ktRcOprZubSJRtVDQr9XmplJb/LwGI/jGqTtT0GxDwa0YpFZymzZ87tLQleavbCHWeiliaONqYwydFTof+Pr1K+6uejZdwUaH9RpWIlLpXIBqsV4bulraawwq/ih1QYwhN2RZN3OLrQYjDltQT3BRXUVtVA9n1dIy56zoHpWYBO/187BWv0fIF+50qoIXvW/OekVtTfNQLkKuEef7y+fknLq9hK5T3YFos73fH3DB47uNchdbQmHve1zoKaWyritDv2HsNyzTCiVjUbSU5istpRKnGT+sdOx0eiVN6dWaH9UdtGRF7/V3asE00qZYzjnm+YRz+iCdC8xhGChJm2hnIDhDSivBBZY5cnU94hmZ1pXr6w27q4H9vGCSMLhAlhbTfhbOWUvMBTFCqDri1YYHohQVMltNNGyfJsZmnGlrSTzVWXX9KPo9WSpeGl+zic3Oe/R5f/vp1fbw9nyVWqjidR92NF3ATzna5WyFRafWoI0XXqoKn1Q/QAtcyphsqL4qRapRIBB78ds3oAiNCNU0PnFLipTmw12MNKDqPKESTE2Y5gqgYLdQbW3nUivuMRcryIulaEVpYM2SUazSWM5MVSPnUAdz2TMuyPAZIbRK+XHetKNDm03da35Kz6hVnxlpU6ltP/BYMyZYsBXbV5yt+rmapl8omVQLvhvwplKDUwBNVqZqeF90sliqgiLb4hEsnQ2EWDHFsAs90nkcAVMsOVfmmFjLEzGvuldTSHkGM7LGGS9OvZujulV0vlDJdE6fd+WGa7NL85C6ZAs05PTcUJ2/BtAHnRo558hVnzHVGRSshWXOiO+Ylpnj44mX2w3PX33J/DQzjo7TU0RSRILen5RSo0hWim/hOvYjjSZLxcWCLVknSJxDc86hMR/riJQStPdrGqiSc6H61iQ5p+u8gTTnPAXfAIHPXX/JRz6fX2PXXyY8GEPwGiYmplCXSkoanvRfev11FMlWoHSNVxvBBvbrnufjS3YdvNhanm0rfB5IJq0TS1w5TDOSK0ZOqnTurvC+QxxEA8UbRtdDEbpxRJxn8CpiEqMfTF4mxKk9VIgjzvTY4DjWFfLMfJrIy0pJmePTnn155P7f/4794Z5/fv9HlnnhCk+wlm0ndEZpBq7r8H3RqOhTwhnPIJl7aV6lueoeZhQ1KKLpr74V2L5avvniNS9vrjk9PHL7/I40n0jzTCEgpeKTFq3GN7V0FcRZpmXGJosjkIwhSWloSE9JQCu6jFiWonzHahU5XBEkFWxVI3kdgQSMsRymxPXVTiN+lyOdCNL3dEVRIWs6TAAbWgLYmhj6DTUL3jt8nVlkxW48UgynWJkQ+lzZbrccTgf+mxfPuL254/VvvuP/++3veDf/lsdJSCFyfTsQnwqHJXJKjs14RygHRgRP5nGOVDH86le/1I14ndiTqdapOb3rcMbSb0f63Ya0KvdyTRFjDf1GU+OGzag822AgR60KbUDE0flrRBKhWzgukX4I3D5/RXp6ZPtsz/Mbz9XNDR8ebxhulG3+zARNAaor1ghdFzDGQb/DDV9zuv8j6/KIm3cchy21jlTrKNWwhkAnsyJKGGqpPzs6OkXl/iVbya6qh22KBDMQxistuBwqBq0Wf1bFo1HSQbwWPU4Po9LU767T0VnKE8FaFUMA3itHzNnmEFYK1gSk6hovphJixBihlFWbsdojrB8tswTOYUjFeM7hJd72FOPJ5fOb22QKwTqKKP3ALyqSyyG0om3BIvyLv/kFX7+45tcvDL1f2d+/o8NiZhWgud6w1iMYQy5FuRRe0+Vmr9OZoYwYEWLOzbax4qohtICeNU+4UsApzSkuhXqypFLowpZ1eWIcBrwL+LTi+w3VBFZXyL5oYWeE7a7HlMT2+opYSzugDLYLrLUwl8Kw3SlNCC0wxYCfK3VemugPnPEwhpY6qiPmUjMihsd3TwA46xmtY/9hT9cb1rNyfOgQMj5NzOuChCe4/0c2vaMed+AdeKgpUdcJyUmpJ6lSM9TicWzwvcV1nnVdCCFwWo4Yv8H0GSSx5hVTA29+PLANPdZukH7k4ekBOXnCTcQVB6eVECzbbeUf/uV/S4lXzA+/Z3WG7dVzXDaksscaGKxSycazoM4VxBSKyc1cTIVGtnxCYSiaKpgcKmJmIRWrVD5rCL2/UCustZSsdDLTotiNMRqfTaN7iNBbBVqMhSyF6mDb0FqAs8sGfKQ0bDfqqtTbDSUVlqTWdIhRSog4JEAyiSgVW280Tj1lqusoJZCxpLSyFKU2gacWR7YfreJEaKJ2qC30RNrEzxiDE6UxaSHfxL1ok1gESpsQSWkM9va9jqY5QIdBtogGo1irCD1CZ1sxnmZ132i3Y0CLdocnF0E6izGFq+2OXk7UpPfWnKdWFWqyxFKodiJSKAGukiWhws7YjUgXkLRANyu9svPYObKGhW1d+XGE2Y7UNfDIzAtXmY4T//2xYzt4po3jqt7hjnBcIs4FblZ4PnbY0jNG4RSf6E3hhzeVbE6kmmEyPD7CcXpPXt+w24188foZaY1sBsdDWrHFsMz39FcvKNFRTOHktoQwEjzMzjJXpUjO00z2Oz7kiZMIS7CsweCN0jJNNoRScanwbq2YPrD1E6vxLJI4ILira34EXo8jG/dLptMTXw+RuDyCT2xPI6fYcXg8Mbob4uGBbRF2JhBSRtZEcjAbi1s+0MnKKlC9u9RUtUJZMpSCDSAlQecpWYWV1QklCVtXGELVTAI3QDU44zFUqqw4+3nThthZinFMOeoj1ArlD4cn+r4HtJFcT+vF2tb0GhZ0nObPvubnrr+OIpkzs1L5aIKq42uteAO98wx/Qer/9HLO4YylMx6sImD364k1Cn0YGMce4xRBCliMFYKtWBfYDsoxSyLEVFhzUr5N6tBc+hmf1edSTGF/PBDXiVozUz6wLAf2+z0Pjw/s9wtk6K48Yz+w8x4jld1mwHmwy0y10rwhITlDSS3NTtpkmRZva6UJJrTY3ewGfvntNwjpo92Ud/jQI0mjOa35aNx93uSUJ1QouWJC15Bx7QihdWOfOCYopaKZ0dOGbrWScwuMaM66giLFn3ZwZ97bT/4pYBs0eEYaq0mIVO0gayZYR3SOZY4UEU5xwYVAOp6YDwcClnozcH11xYtnzxi2hmQSY/UU55D9kbfHhXqKeGuZz7zVLtCHgRcv7rDW8v6HievtVtdSyVSxVGcV1Wzpg5vtFms1DrsUo+4nl6hjoeSsRYdVXtyFUhg8fjbgPG4YuLq5JedH6HLzuAzceE8IARMX6ppx+XwoGoILZFNJeSEmAdGmrawLhCaAKJVadK2qCF+RGit/iVzplUURo9Js184dfi6NE+oDtabL1y7PYjvczCeiOWlrRSx0qHI6CToCbZvReT2dP+tSf/p3irh7RAolKnLkrPJPEcFbQ5aCSXLh1kk1F1GvdUbT+z5zKQ1FV6wxhpKz0iy8BQrbTWAcOr75xQteXA1YmaHCvCZ832GsClfPIRK18VC1KLCXe1KkkqxVhXbzETVoWqAL0CBVRLI6H5SFtBZq1VAPRc6Uoxis02kHFWql8xCrJxfdM7quU/pG3+GsI3OmVyn657ueYdiwHg5tXO8pkhGBnAuQ2v0GZ3RsvcxzG+lbpKovcimFse8Qa1iW2FZCE8WEoCmb6wwlkdaIHB4JNwdCXnGmaw2jij/JmRQrMVVcBYta7DijvNfQbCT7EEhF+ZVUWOcT1jj6rsMajZCnN4ybjnneczpF+i7Q7W7wYeSm77m9Hhl7GLvA2G05xQnv9NkxBnBVaVa9afcYXVOiFBLf0K5z8mI1SniztlKNgAcjBSdN0GzU6xujayXY5gpDCzUpH9G+iyaE5j9s0ImftFRINZfVZ6Pt26EqH1rOf9/Wcq31EjKj6Km0NfYxHKGURCngqqOWNg1Eg7POEe1VNdgfudFy5imfHWk+7gEXlK5NSYy1Zzgaw0ApOgmSpis4v57+q22hP+dE0EqhYltgDE1Hc349sM0THXU5gGZrZ6lGufKdceoaUTzRepaLXkJFgvqMVgWxOsG5Hmd0Gl3EUZ1yd8UlyA4JhmJ18liLisYKji6o80bNluOiiPzjOpNxnOYjHSt0mS4LplY2XUfqIjhYpyNjv+W66ynziusMoeqOFVNmzZF5f0CAu+fC0sSET0smVEsWhxTBUFhKZc4LOzxVEjmtmGyItbBUafSzQvVerQjDhuKM/iNZ6S+jgWPGGk+32TI9HFjnBcmF0xpJzhFubpjuJ5L1dE61KZu8Isc9poz4mqllRqplyMJO1Pu4pkwnnpxnpVFKS2Uwrn3mDms/8ou9VZ6ypRKcRUQFh723yq8W/Xwo/MWE4GNM+19ewXlIpU2dLK79/0tRrrRznppLm/59nFQI/CcBJP+566+mSIZWKLdCK+fIus6UHCkpYkr3s9+32WwYN1uev/iSkirTw4nH+I7lpH6/Iz2DC7hupA8BEWE5Tsqjiye893R9j3WW5TizxoQpG0IodC4iIWCwzPMDD+/e8H7/hjWeuH98z3LYs74/KNVDHNfbDV8827EZBm77wLb32M4wzTOn40yOhTll5gJzhtrG1XIhZRm8FWobXWr6nlB94fkXt+ynPZDxnad3I3EtjF65WjFqDOm5m9cxuaGUqgk+wVHEkmuimHpJrDtvjZexsTGU3EbsrWiwrTA46ztyKQxduFjNdF2Hs2pF5WzAGmlWUIoEnkf+1kkbeSrK6EUPtathx3458OFpz6++fs31pke85Z9+93v+9u//njlP7MLA3//mW9YKNx/2/PCDRgV/9fW3PJ4WHg+PnE6GivIDX758wfX1NQ9v/kCOiefXW3bjLV3wTPMeX+Fq7NiNHk+mpInTCZ5vrlnWzFwD/fgME0alLUgmZ4e1BjPoAVmzetc6a7m6uuExfkDwXN2+JPSVh/s/cZwjRSK311cMPvCH799TS2HbD3jjMOUc7pJZ8j0f7o+kPLC73pKOM/v5AfzI3bijroUihWLUHs2JjuM/+zy5oPGgTRkv6AS5YvB9r5zq7AmuI5Z8aWxSTeSqTiJiG+fUGILzuFZcFJQqdGnk2mZ0PlxrG/ch5pOxqmkjO/MxplSEViMTmojoHPNLU7yLCI6CCw73n+qLAKUuGDH4JvbzfRtFUuhs5btvvuSrVy/J01tO0XK13XBKiX5zxVISvTU4IzjvMOIoadLP2ahISQ8Bi3XK9z+ruMM44C82ie2+V4OYAKg5fowRQwfeMB0i05p5dddzsx3ZBmFdZ/rDic531CQ8TDPPdlv2y4R1gkuFbvCUapvTYsIYx9XtHXEthH5L5y0xTaRaGYKmLuWcybEyjttLBHVcZx2/BkCEbjM2YWYiS8F1gZQTu+tRQYowUESwfeY4HSkp8qzbYKZHbHzCyAb8iBdHFKUt9NtrXBiZ3h2JMbHtB6gry3xSZ5FSuLq94ZSU8gYGFwYEyzzPdOOW3W7HWiKFwuPDnpc7r1qE+w9ImHjprvjNt3fMxxP/5//1/1JXhxkMzmr4hEjB4iFYsj0HgLjLoU1tIkPn8LZRSUTTT6uvRFmhVFz1UKHzHca16G4H5I/WhcK5sWrFYjuAzzS+WCq1iTvPIT3lUkC2gtk0RFeUv5lzRM6R0FYL8pQ0Zco514SNglSvQjiTsUkDbnLOJBGyFGwnSNaCvDY3llo+hqMAyh+WAp8gduev5RJxOIz1WmhXoaauIc4VG3S6cX5mjaiOwIjVc8zQpl6tZBdauiWtqW1Ux1YgW7ShEhroI4V6thKVynbYUmKkdE/KmXfKbcaLruuS6Fc9Y04+YDqDkUBeDb6HajMER3KGJAkkcto/suaB4npWt9B3Hb3ZcogL03pk7ge6YPjh3Xve5Q+MbuJvhxf0yTKXEw5hDMKLV3c8zYLNwm+++SUPh3ue+WekAqdpz7Dpeb8v2NESa8+bd2+xCL9/M7HrBn6xOmxZOD4+8DYFfrz/gW3/CuJLynFm3Sfer0885gPP1jskFSKVfa78uBSWzrPkhJWJfqt2tr+qPc72PM0HrESCRHCWU1mxrqN7ccf9/RvulxW3nBhEuC7CfP9ALkeGBFdmwWN4HzM3ZmC2iUefKJNQ4wkrGas5pNjgySmq77o5B4gBRQODQrDgLEUscc2MwWO94eG40IUBF9o+FWN7Vj+mXP7lVeaVzns655FcmhGBw8rCRQTuaEmfSbnzJRF6rXv+S6+/iiJZBzY/vdZ1ZZomTvPEvE7E3c/E7QHGOqxVvl01legTV/0VMS34Yhn7nq6zdCGAV8PpZJWT5KqmvvnqL8IGA9haMEXogqNzSmcoNeHKyunxA0+HB97ev6EsGTtXYuPSbIaOZ9fXjN7z8mqg7xyH6aT2LaWSy9n3uBXHn9Y3VkdplsZNPNveVcOw2SiCZHTDkuIVETYGi45bzxuK+YvP/8JxrrWhFA0rajzS8olC1Hsdc4i1rdhuiLMtTbxRL8KMWhvvp3HkrG3R0MtCzuope/4ZZ4sk5xym08hJ53oKQsxayImBw2mmYBi7js1mw/sf3xPnif7qDlOFwTs67/nbq68Yg+fp8Z/J04ln2w03V684nVB03XmcrYy+4nZXYCrbocd5y4u7Ww57Q11mrnc7bq46OlcZNwaMPpApZYrtsZ2SN0opGp5wvp+NpGutpTirNB9rcF2HqWqWX4s6ZdSaGfoO69QZAavjpFw1fWzseuw58CIIKVVqcYQhsC2Vd0sm1YkiHTmpA0ARnRgYEfLna2QV+FngHMWsjEvt5K1yakUE7ztFvC6oVGkWTw1BbT5wRlQpf+YaV/NxQPwph/3837ahZdr8fpxsWGsum1QtGonsnWvR1OayfjMOY1SIo5Z0DXX97FVx+DbtUA4zxrHpB7wTJGam44G8HhjHAXe1YymF0nlAQ4yMVPVZNp+sWbQYACHgccax2o/PTxcCxPQTPuXl9lf9ftf4nqHvqcdVETMX6Pue3ZXHTjCss4a8xJk4FbbjgHGVYdM1m6uPqXipBT6UqmLG4D3ee6bpqLSW0BqXxmsuKKJu8AR0moQzONGYd28dKRakVhW/La3ZcbAmdTLpBkdNBSkZUxImR+L8hCsVH55RavtZVe+L+Kw80RKxriXSFX3fzunBaYxOuJy1dJ36hPdDj7WWZYncHx+53fbEVZhqpo6GIjOhM/RSuN46nt91bLqOKVlqXS4obK2Cta5N0to6PBPrf7JsdG2V1ugY2yYEIlAtrlhtwFoBJ1IwxVCrcpDPXNpPUSrQKRPt73OpKD1XoDWMxp3FcefFAsXpe9b8BQU6cs4Xlwt9vhzOBaz1TaTqOMs9KhFvq3L5BXBClYJUf4kFxiiVr70aZ22L8FEPpLelodgIiHpi2/b3FBBzRqPlE3RazyJFkBsVAqhn547m8axcW7ic+qZqId44pOXCzVaBH95QRKe8se8oFpxVZw1nFB63VgGYoVNnFZMrqyTmFMkIOUElU2WG5KleY65JuekkHOI6xK06GaujUs2AanxDixwPx8jRrfzSVjyC9J6aJq6858XzV5hDItUnbp7NxDSTl0QsKznNxAWmWFkLWDeSk34KP+4TaTOSGHBZkCykk7AcZ2pU0EuKocTMacksFFy1+CS6c4kQK2iAS8GR6J1SgK82HsSQ5iM+GzqnZ3gQ1UV4q4FLT2tkf3/PaC1/9+Vzui4wZAEKz1PkWDIzhrFGSp3JNVJjpS4LkiI1ZTjT8ZxrDVUlpcaNdwXndf0aaxk7BWmuxy1LScRlpoi6sUzzxLqujJv+J/vwX16SC86r0DXVcw1i1TO/6SKkjTPPXO0lRhU1/2eYCX95/VUUyZ9uXJeDqWTiOvP+6Z5uGHDDz1f+WSecjOOWMHr6sGVeHXOa8NXy4u6OYfTUOfKUZ+a6cqgLxhS881AL8eERKdqFUwRvMtbDsPFsnGeaEmOc6deZ+e079k8PrKcTVSwuqRPG7atn/PqbL/mbF68ZnOEXt1vSeuL//v07Ss48nU7ESov/rDgF+MjnSaCI2t6UQim06F+9PYfTxL/99/+BX3/1rxiDx4ctuEIZMhyf1KpOaivcvKIQ7X/OWdZSifNJ+cRdUOQifxzXuYZQULQjr9ZiPhELFFku7xMU/VjXlS54jBGGrrtw2bQA0khJRQJTW7BaFLpGv+jDSM6V6XTEBU/wHdMy8eHpkZfPv0FqZtt3vH33hoEEYvnuy685xoWds2zdazp7zYf7E//2j/+BlCK924JExHvIC3EGM6sn4LEs2GB5+/AD3756xTRN3Iwdd8+eMwRh3BY6Z1lT5DQt3H39S0K/VXV2Xhk635wf/EWc5pwj9D1koQSDH3pKEYawodvdcSyRdTlyfb3j4cOPGOP445/fcnt9w82VKudDJyzTE97esNkOWOOxdsPNzQ2vbyvT0fFuv3Bc95hyDc4jKB2GM53xM1dMBdur9ylteVRRMUSp2ogSE9tB38csSh+4HPStiYslI0WDaIxAGhzOfgw2oH4sgs91HLoxAAAgAElEQVTomopCzZkpcXm2rXPNnKNxHq2nxtpGYI0j2opqZzzGGTWqp5wDwj57Kd3i4+i3DzvWGNEzxPL9H//Euz8b/pd/+DW325EPb94TyfjbGza7HTZmak6kXMiS2Y3jRUCkqB6YWKmpUEy7h1mTJH1LXUztwLXWUYtQU1K7QOeIuZKWE/MSWZOiG33f40dLV3XiVAkEs2IL3F5dI2Pl1RevmWIip6qG/EYInWoC5hgJtidF/Tmpqh1bLi2Iok2PUq4cTif19W1rB1HBlfUtqr5RwGLJ3NzcksqMs44YM8Z2pJIJTj2uT4/v6LbPKYdHulFwfUZMpyZkBo77e/IayWkBE5EyK9/bqhdwCIHHhweiF3ZhbAhvQGwi5RVq5vnda4rtWQ4Hnh60qe43BXl8IITAs/GG6//ub/i7v/2K1y+f88/fr+x2luN6wpm+FbyK1jrZtYlWBKeop9SswU1WXQEUvURHe87i/QYvPVvZIvbxIkCMcaFQMKiIM8bYvMZbkYcWyAYuqPVSFOFV2zu1kVMa0LnQVCXhyVfGYFooikDVxjvFRRsM49mOG0LommBPixCRQi4rxUZkc0vqex3duwBVWt5Lo/sgSLUXKpUet59Q7eSTwBPAeS20U/7I2/Ymcu5kSzGXWG44Rw5XrK2QGqIu6uUvtcNUi/OpbQjnptfglgrWkKkkztalhlgTmAAl4Zcjbz88kpYDN3Zh7DqG4BBn8X3FSmK7sdxseuwkuFxY4oKUTJ4qa551euY06dRWtXjc9BvyOoAdCaPDpZ6yevqrHeInTmumy45dd8cHTjycJn77/k/cuY7X/+pLnscNj497Hp723H71a8zmGR/+41t2Nzvev/mBSmawlfdv3nCYEs+iIKZjWYRSE/t1pB924G9J8URaCt2yQw4VuxRs9VAceRXmVHBjz1UY6KfMergnFkuOhuodzHtKfOSuh37nuRHBlRF71RNXw+vnz5imCVs7fG9hPjDHlbnCn04r63Kkv37F18Mzfn1luc0rt+uRx6cjven4cp5wB4ud9oyPwLpi1ojLhZq0eMfpRFBFobou8hqBoEBbqYTgGdzA1WakzGg6owgllU9oeXoeDcPw2T2/a5az67JcAMOUElebgBFN4IuxrbUz3ceoreSy/Fcm3FNv09Q4TYHeOSRVsjhMuKJkr2EWP0MjOVkYfddAQGH0A13dUm61uz/VGV9H6s5RT2CqxRrPUgrLccIGTzUQS6TmrFn3HsR7lpyxZWYohftaefv4jiUfiOmo/pS5cEyRYfD8+sUdv3zxghevXzE6y/VGOOwjS5x52p+Ykv4Ka61qdWcsloqTVuMCrheiAe+1eG77DMu68sc//Zli/wf63Y6SP3A6Htj0lm7vyEXI4hj9SOSoaIGomU8uuaVubUiSsK5T39hGgXDO6hhbBEMCAyHo1404QvDMT1ktmXpV0gtCfxVIpWJ9R0Y3nZxWNSEXoR8CpazKx3aBmJUH6a1QqiWXGWMLw6YnilDWCrHQGc+yTIS+42leeDrs+fvvfkUVw14S2Rqev3iOc3te7fbcjiPOvOD9/SMpqto8lkhpKPb2Ra+OI1UjlkWE4/0jt7ueTSfYEpXnvUTC2HPKidl4zOYlMYwcUuSZUXFl9lBdxIu6B9DGlKsf6OsJ63bU3pDHGUk7Ut7iTcA+fA+m8vQhc//gOM4zm27Dq2Gn/NDB0onHL4bD6T01WF4MA6yVb3fgZeX7lAh9otYTQ/JYLNYFEp8fR1mBlFYIjo2oR/fqNEgnJ0PfB6xPyFIIXcaPHSkG9mlWS55zw9oQ5xpaWp/RhspJRaoqpxVRs5d/V5/XjSJStl54mtWsgEWcTm5SSWytctyLKMVD85iyoo1YfENGS7UKfX7mqlJY16wcWmOIYkEyaVo5lsqLvvL6qkeMumSIUcHjAPiUqM5TfYBS8DWTJSNSkZIJplc3mqBOLVvfcTgcuN5dMecZY/XnYzRRylpLrg7rOsQVYl21WKMjdKnZISZSiSqwypViVBhrusz2Dt7ef+C7v/sbpW3EmThNgNq9JalUKYw+UCVyWg+sWQMArLOQO3KJGG9w1iB5ZVctNSYcQtd7alAE6dpudRoyTdhS1Vd3PmDbFEIsiCTWOTbry0QYHGnWUaztB5J4bJkxvpARXBgxy4lDKojZkmOmMrPrBnqnUyjjCqaA9LVxhxe8Fzb2muO88JgO7E97jt8/IAQent7Rr5abZxuKOO7fP/BVjPhgefF14e3hQJq+wQ4GyRaRwDxHHfWGWUEBClFaI+UMKWYV1V0QTTDeEzD0FYysVFnprU5ZrAgVdbcIpvEaXePqWj381ZNVMeKUmh9+VdeIzjmqFYov1BovQSFYQxboi2UQQzAVb6u+R1Ow3oAVpEasi4TOUuaGZDf3FqqnePXfHRwY8czVU53yaq1RYbYVNPylTWeU9wwYQ9cAaKVAnQN+GkrekHFxYHKlohMX4wAndFknZGc0umTTwrfg+rw/WW3yitciX7IKYY0xSGhcVox6kFewFELnWJcD227DaHuKhRXLmxrY0vHL4YrBGO7eP9BJZgodQz9wioXgAjXOSHbYbHBhg3eQpyfGcaTmWQWAsyeWA3nsGOQa0wncTZh3Qu8GhiAEn5mkkmKhy3fc1z3ZZcL379jd3hJeet7nD+w/7FjXlTk5godn5UQtloejo+Oa67AQZMRYT7BbJGbmdabefEVvA+sJ1uGGYwzQ3VHkhjXB/XrgMBbSCYZ5IBXLFAsPq2V/Sswf3iNfX+P9t0wPgd1YqHmiv67sn+7Z1dcsdWbXBzbGs84zIh1p02Mni597hIGcjnSbLbuba969f+Du5gUSBV8e+MJOdLLjeBKmw4FSr5mmt7pnGo/1ILJCdRTJ6grW+PZUlEqRC30f2Dr46osX/OEPf6JzlpHKlFbEOZ14SsaZ0FyxPr/nG5tx3jAtrd7YqOjPAJ11VCzZ6uTTlMJaMqZNR38Onf7c9VdRJH9qun4mWG+7DWMYCFi8ODUH/xmE/PExs3Qr/U2mD5ZoIjvvqYvyIPsQyAgb31E7fU27U1uSZchkUafhIBviNFNTZo2RJS8clidMyaTpQBD48fEdD8eF01LJxYAp7DYdX33xBf/67/4FX7284+vbKxyZ08P3HPf3TMcDaV6oWKpUNeeuKqxa3VlMoWuhrhnU+U5R5lYk/3iszH++Z79U+q5wHTy/+tV3vPvHf6edV4Axr9ia6EKnvsW5xcnOK1hPXGcVJ/hC8J7Sfxz4ZZS0b1suaa06zs9FbcCGYaDv1aT7LCJZ5kg1FpMzc/VsOuW0paTd22h7chb6fgAsxZ2TlQRQe6iKole7YVC+cxUeTweep2turgZ+9d23/OHNG+JxoutHvKjIbT/NFAOvvnqJMYabu5F5Xdg/RuZ55elwUOsnEZ4/uyNKZW43U1Llqg9cbRTB224d3hr8EFhiQtzAF9+85tU339B3A93QXxKeQmiWWNR2OAZwjq6DWnq6nSUMG7owIEWbijScsPHE7/7NH/nDn554O48MBL5cDM93hmdXG7pikeI4HSNj73l3euTrG+h2L0h/umfY7XB15bc/vmErO8bQQbUscdUD7DNXEXWdqKUipbmdWEPne9w4cjKeUirOdeSWrlSr2jpRKkHOrgBn4VoTt+VCKSra0aCCjxQL0P92zpHicnkv7mwbVNQ7VTM/VDVfpIlEnXrWOmPRoI7aNAqm7Q+NxPmZy1nfkGlFuOaayXnlehgY+56bq44Xt1u6UBGb6IYNHrCMzFPEdg7jIXgICGldm6JffZdNECxq/5dqubhxdF3XxFZcRtq1VlwbsYuAN1qsnGohjAMiivqYcWQYA8MwqJl+McQl8YuvXvPy9Ssenp542D9gqnqBbndbbBewVLX3S4m0zmy7gA+WdVVOcj+29Ywof7lUOgc2WEyplCYk9H7gdFBHCmsqKWZqiiSEMPS44Kg2UiUjkrh69pqu69nf3xPdls2vigq7WphJCD24jigfWFNR2opTT/Z+UMT7GKM2WoOnCxtME5r5oF7ZS5q4vrpiKpW9O3BaF/78xz9xjfDseiClB7xXeoh5eceX3/2a/+1/+h85vP83/PbfvWWKK8FvEOyFSlBnbeTObh86BSrqHtHEzGeUVKkhnxw1IjpBq5VUNakUoJrcUGGrhZblYlVVjVJsgtfnp+bSkGSdwBVjCCYgKRNLVuqFd4hzFFVDqyZABOuU/2va69XiWRch5ZlSkwZbWZ1MHGMkJ3W4KMaCdZhUsPVM2yuIcY1cRENyz3QiGvonF260AWjx7uWTEJ9Uqyr0pMVcC0TbQpbOOgljWwjLx/3h8mdZCFzAaLV5s+ajoNDq/nCaI13vudpt6TuH1MzQX1GrJ01PrHMhJSGEDjd4jMBgIi83wus+8OcH4XvvOMXM/JTp/A5bIsO4IeB4tX1JNTMPh0eCGPpSCVEbRStqtVdsJYlSJOacOe2eY6sQ0hVTPPJPP37PdIx80b/kuy9HDtPKm3fvmNaZLieSzXS243ZwBFMJxbOVyuHxRw5lz1IzdBt8N1JrUb1QKTzUwuKE3Dy6a8oc58JhyQx3W8LVSA0FLwETIzJHbFS/cBL87t09S93z1c7hKtweHymx4C10o+fZxpGqYbDCsBnwu0Q57SilEMee8fUr/vzuPf/P73+PdRM3G8tv8pbuMdI9nLgTeLv8wNf0vDUzqymIE0JyRAuIUp6cDghwQ2BKK9vthjmvvHzxCjd4FgqSKmtKFx/lUiGEsZ1daun72T3fOWKMLUFVpzpd1xHjwna3oWIp0/FCx9X1Z9t0+7+yIvn8ds8I5aeHbed7xtBpx/0zlzU9tRjWUjAu44zQYemNwv6lFMQW1lVV685atv1A8YHdaIklsz8dySUTQo/1PacspFw5LSfiemJ/+IArhYfjI0tMpCxUPLVkrofAs82G2+2W0VlKnMAKp9OBd/fvOB0mYtJY1tJovsZqlx2b16T3qgS3RchtHFqU/nVRmy9rZlkLYjrmeeVwnC/UCp2YFiyZNRnq/0/dm/VKll35fb+1hzNFxI2bN8cqFlksFovNHtitltpqqTVYNmzDgF8MAQb85u/jF8NfQU9+sQQDggG5gXbDgg20LMuwoGYPJE2yyCpWVWbeKYYz7MkPa0fcLHYW0H6jDpCoqqwb9944cfbea/3Xf0CJ+yeTcQwssRZ2Sf1p1XKrkErlmFKr9XqVIioqE6koofrGgnIISZnilNMcYyQIiGm+JOB60/vz9OecGiVqDVfGcCbad33LsgSmJdCFhG8d22FNmhZiMYRmwjrPlFVk6B3knLAm0jbw6FHHMAh9X7jfHViWhXUHcxYutmsVvSyJzgl941gPHY8ve6RkbnevwDkur55z8fg5vhvA6CGfUlKBXtKoYmMaLdjq/Uo5YIxHfBWzlYSkhJ0iRlqWi8fs95m7fUKGpwQbudkvPO4DfYqMKbB1Hcs4seoHXu92XL/6GZernuePL9jdL3xxXGibhARNl6QGZEh5O9/ixIGk8sOq45IWd67FGmWzaxjEg4f1ScxpqD7dem6rkp1c/U1ExZfm4QA88zLPTe8ba1y0+DjzL6qdi60I8pvLu4Da06GUgFOi4CmQ4W3Xm4LBUnQa49uWaZ5xCTYvrlj1Hc5PIEltCzOElHGuQ2x1LCmRVBbEqU1VTuomYDA442pzOII11cv1AT0DzlZE3iqfca5c3yUqKhdrXHSxBtwDVz/GqGPlDJvN5jxqxBQuhl4tFLM2FifmaymFvu10MlDU09U3TsV+yqBAsqgrSNUYxIRyQ7OlpNrQpkxb08mapqFresRqsZLKovSSYtT71lUdQj3MSYmSAiK5MgQEqvdw0zQqJGs8khel5ZSC2JqOhTq4SLHK1T/vE4nON5U76GjanpuXGiewXasYaA6B2y+uGdYbPnr/HX7nNz/kB3/xf+GMAhcGQZwDqelzIlhUDGKU0HP2Gi6oNy1GIMfK3ef8++SsPNlYvbe/VPTVZ145/Eo3Oe1ttkbxRqNIMm/shbk85GQmSkWp64j6tPcK+EqZsNbiasOhe3CuvO6CiKaf2mQpJZ15/yKC1GlhySruRhLGqrBRH6MHvpYpdf3KwzMm5a9SMLJow0gVyxZyDQdSoEdFdyrm1X3AnBZpvWdqMWnOzGhFwKFakdZ727e63sIy0bgG5zpiFpzxrLs1IsK8JJbjnmOYSSXSOKE1EeLCujR0JtCahLeCjZE8QDGWxRSyseRicQZcKuRpIZegqaqiIi9bua0R5f/fF4MRQzdc0XYDrckc85Hr3cjVYSKkQdNbo05vj2XBNLDuBpw1lNngwgzzAdcqwgmCczqF08/UklykeAUoVKQJ1rUY43R6YYQ5L/qZZoMXQ+e8rqkofH4XuJmOHPeFR+uBVcqQCiYliokIoVLmghbhYpB+DVG90yWLWh/ahk9vPufj13suv/YRHzzaMNyotd3WBdJoeZkisT7XJiVSY5F48s1WOs2SIqlE9Y5OiX7VsTvsKdYRi9LUGmsxMVPE4ayjcEpR/gpOct0jrWvOVAvn3FknYGrza0Tw3p2f4/8/KDL8ihTJJwT5dOWcudntcfu9ipuMw7nmK7mXq7ahlMQ4HUnZMQwdm8bTuUtKyuynPWI1tMJ5r2bzoOrloB3JePGIw+HAdL8HoB2P7MfA7ctrbvc3/OLVp9ztbjkeIks4bYRqeP/+8xd8572v8Wy7ZmgFZxLGFF7v7vj0+obdVI3TjXswgM/K8QxFR0vWVjcLFGkWgVxU8EMROhIS4c//3Z/S/PoHfPj1Cz57ec2V70jNipgEK4uGRSTd+PL5UIDWO3KNpg7LhMRIdq2KBeFcfMRqzeUQLPZsdi/VCHwaZ7WTQ4Mk+rYBU0jzgilqFaSIjfKK3jQ8P3V8KUxnA/mm65RQP02qwE+B+ZhYohCz8OydZ9ze7Lm/v2ezNdh5phVD7y2+afB9wxQWjDMYq4Ewy9KwjC1fe/5YF4tpGMNCv9lgjGE+zjgvWFFnlM3limVZmHavGYY1/uIpyV3QXD6uSYQ1sjqrN6dzDhvUJzMbg/WoyrugYkvrwLUkk/HbZ2BhsguBNZ/tbjDbDTHs+enPP6GNC8++taXpeuJRfbQv1yv2c+KP/vCfcvU3/g7/xT/4L2nbFe+FiDRPeXWfeXm9J0Wh8au3RsoCmJKhGEV9Y9IYXGOIGZxYvPGEosEbTZXgOSf01rDEQJjjmb96MmYXERpRhCyWogIe4cG8nYcioW/dL/EctfTWVMlaM1Q7qFMoiUidYJeCralN57dXfULfdsWYv9R87ePM1bohxYl17/nONx+zlgXpwFIgi/Y3QaroR3+wwUC0WKc8VQiUFHX6YQ2+8ez3e5xzzDGcBYin2G5T11woAQMEMtEYkhU6cYzHPa5vcG1HEcvF40fMxxHfteRkePH0imdXj2mHHkFH7caIotdOE7VMFZgZZ0k5EONC33esNxfEqMgvRalFOJBoEONZ5pkwB6x3IAoYZOc08rpEmn5QxxqrKJpYYWhXOG8oYeF4KKRxZuhbmkY5tkgm5QVBC/CYLTEXrPdY35BjYA4JCUd64zUpzio6GcJcqTELcVKRbzt0HMc9L558nTwL//r/+Ld8dn2DmQ3lNnAxrIlBuNkd2d7PLLd3PPn6lr//H3zEn/3Fz/lkytzvFuYlq7OLFIahJWflyZfKETdS+YnhIdBIrQNtLVJr1HEuhLDUz1kw4qtqvgY+CBRnCGgxfuJ6A7ouTyht0QdeI5Qhh0zXtogTphy1KC8VeeVULOk9ctbStC2NdXirjfHhqME3WjBXT2sphGUm2YlkhezUEaIoKqOaAhFsFc6pDegp1hpcigq2ULB1zaZsK7L8MO0tJlGMRnYXMmSlWpWsAE9B19IJsX4IlqjvLsX6f/Q+WZVG6t+cxvMUrGjwlXFCYy1OampbKTAHmrZlCYH7+3uWGJjGkcELcqlF6cHtudy/whfhohl4udxyMI7gE0tjCF0hTUXVx3Mi3O7YS1SP3cYgKdAgNLbBWxRY8IapNHwuHcEXukcXSP6CsTmyz54QhGNpkNU72BRY9q85hsSFz3St5fnTDcla2hLYrRyfL0eedZlnA3iZmEjEGsTV9Q2r1QoFOSCnBUo6CzlTgcNUmOaEx7BqOgqOcc68Gi0/eln4y/me335/xTe/1TAtC/vdLZ4jh+M9xq8JBWaE2Xf4R09pjGPl1/RmoJUNToTb8TMOY+FfvjiQN1u+03+dITdw9xf8fNrRxUhGiNYRTaruVTVt8WQlOyfaoWeZJp4+fsTQd/z0xz9hfXHJfr8nLCr6LWIoBMQI3hlycbRfkbIaglr3iXFVJKjrYLCohaTR+iMj7A7juVmz1p5W61/r+pUoktVG6qFIllosLlnt0pYUNZHpK7jW606L5DmGc845bYvD4pylJM9SUt3IFAUzImQjTFnjaIMUiq8dZkwEE1lk4RhGjtPI7jgyTQs5q0ZcTKEQGDrP00eXPFpfYKhej86xhInXd/fsx4Ula/BbMSeRnpwpFg3VBq7usKmK4+SE0KFE+CElht7xyU9+wqYp/OZHf8DhcCAw0rU9Jgh5WihFI0N1GlZH23AWV7k6Us8lgalIgKgJvDWGMSWc0U71NL4WUQTPmBrFHGNFgKptHDoipzxQLYBzao6qwBU1fEAbHzrBpmmIIeB8Q7aZZQksITEtC9avuHr6hM9ev2ScZ2gcruvwMWF85cwZi2kanPEYmdX3GYO36kVrradNERrlwnWrDtekc6rjlCOhJPrNBU27wvgO63usb+qYxlZObakepBVRfSP9zVgg6sFTUq6q3AJNi/RCnx9z9eJd0o++IEnBeZ0AjIcjYUlqncN8LoquLh8Rw8KPP/4JP/z5xzx//A02mw2bwy3TquHuMDFWwc5XWcDZXLTJMkC953BSqNfULbGEnGiqmPTUgVtrWai2cDlVIZTyxUpScdMpqUxEzs4Y8OCHXUgnaJXTPOSUqkcVeRnk/AxGaoGQ1HOzKPymNJFSRVhfod89PWego2fvHWGJPL/c8O7zF/Qu4/NELl6RcaPPL05xw4JDTh7HWS22TomCUjSmO9bpRSyZxphzIuEZoeBhGqYJcpkUoBgDWEp1cjAIOURKTOz3e6bDkRAC85To+14L8GVBOqcNJ1nFjZIppnr6pkRMAbHQDR390OFrw+pQ2ySLWoiFFJjCyWNbX+uNuuB0bgNVmNl4zxJmOqOfNUbAqF1T5zsWV1jGkcZpwmnOGXJW9D1nSmn0folgnI5Iw5JU3JgD3grpxAEuynn3TgGSEEOdv3fEJZBCZLVa0Q4DU4R8yDQri3c9Jc/YTlMCQ1jI8UjKE1hF1kqKlKSoL0UYo1rApSqDTrkgFc08u6ycAjVSFaQVRcZj0dmJq40hqJYkS1bpbFHbq1wLYIuuH1GeUP36Bw/5B7GcQbFt4UR6awx4KdiiCC5SSBLRRNZMIaBOMUbZzPX7gKaTGlFqVc6RYmpjah50BfkUZXm2a6tCu9P2Uaq/84knJLXRJp+RZSvCRMLXJkKyJkRaqU4itSkQ8+CdTnmgWgCIfWgW5DztfZg+npryEkN1W7LnCeRJ8G6kqLuHKVgnxMUQsiFkIYtDTIvYe9Y5avjFUhi9uuXcx4WmbTBRxbqpRPWcL0IuOrbP2ahlnckKGJWCFUdbAkksU7LcxcRQYNs0bHqDeE9JDSHPxOIRHOI25PlAjApEbDe90j3WA8fkcDHz8d2erRd1wAgTMRfiNOLRtNxT6mqaJ0qa6ZzV+52MhkwVtdbECGIdxTbasBpPjC2h9JTcMIVACpmYZ0KMeFNYguYnFJ90LWEIzrAYw1KEGWEynsW2rM2atu84HlrinDWYzIAtKIffCDPQiyGJCmcXkxVcSRmrYxtWQ8cyzbTeYpuWozlq0mGNQHcOtYq1BTLk/PbC7yScPz9XdZJoqnYEUxR4ixoKlU8shVOA21/z+pUokq2tKGBMNewiUsJIiBPH+cjLuzu6y/6U0PhXroumJ1PonFryxGPk5+lzHrueAcfgLT5EvrjeMzZCEOiaFp8NoWSm3ZFpvyOGhcPuBnLii93H7G/v+Muf/ohlDry+39FbjyyBYBdKhivvee/pM37r1z7inatLxIkSz2Xi9e0rfvbpDdf3idlaFdvMkSTKSSum4DI0Vsi2sOSaZW+p8ae6w3QULh18/arTEXsY+fPvf59f/+63ePHiGTeff8z7V1vGz3eIERYj5BiIIZGN5xQKMFZz97wkus6RBCILGYixaHqSESRBjIF23eCcZzzG6jpwwNkGJNH1LTln1l1PiAsGgzQt8xyICYZuxf6wY4XFYLG0ZDQiWQXNBrLQrBsw2jWv+oF5CbS+4dGmJ04HgreEXeHdrz3jsBwZ1gNRhDHOTMvEhTPYsRbaQ4+Icvj69ar62Crv+bDf0xnNcd8fFzZXjyBl1r3HW8Pt/Y6YYL16SjGe4fF7bLZPFGk1MzEXUrK4DKEEogiPNk8oIUCZAQtuAx3E8VTMqf8xl5fMLz9juHjBb/2n/5g//rPXfHG8ZWvgcXvJeLwnRHjn0VN+ePMx0xRoZeDZ4Pk7H7zP//Cvf8g/O/wzvvO9v8k/+vv/Mc/mgWZyuCeRl3c7bu4OCG9X/2ITTS4q0PTCIjCWmf64MJXCbCGbyMadPLJbfQ6tEKSw+Bo2UYTGefpikKBFfE4FMQ5jvT5D04QXi6vOH65rKSHWhDzBOYsYjfUV0YCDc6i2U+RISkCqbE/E02WqoLYQSsY2nuMS3vpWRQRvBOsacB7PSGsN3/v2e7z/bMs0XUPvIS2Q0ObJGDKR3vd6OIRY/b87tZCaRowRfKc+nG1OlGlm7ZT8lXuvot1FvVE765lLZGkDPQ3FZNIEIUZySOySFpXLceT2s5FBIjTPtWizLSVP9JeXrJ4/5Tje4EUoc4U+O24AACAASURBVDhbU9rqRV7yolqtVkfPJQVMLkjQIJYUF1JUdPLUiLqk1CrWFtc2lM5BySxBy7WL9QXjccfu7o7Z6efju5bN47X66/Y9683MPjmuDwG/m7nav+LyasPtMtE3W9J0QBy0zmOax9zfXhOXiTAbrFwQuSNGi2Qh5iO59DTuEiOZOQUVU84TOSbm4w3ONPyj/+w/Ibv/nX/7r77P3Dpez5neCt14z/G249pn3vno1+ld4eqi5ZObPYfDiGtW5BTIKVBOHvtGyAakhrq4os8wKM9W7eKU/rBkpVcloTaDQomZTpQoMCdFwdvW462lkLBZzpG6ULBe/90Wq17TjSfnRI6B1mpQRq783855Hhl7noaA3idTPV2lTlVOIIQxHud6shXmeSSIYMqCFSoqazDFEPN4pog4HDk9cIFP14nBtEsTBos3jlCUNhbjdKZgnQAo5wb1wc0LzhQMpU4vHzQuKWZmb8kx0Rg9e5acMM7iok6ypGhzklNU4Z5Vi71YlGZUbEM+BlY2UkgMMhBCYj/N7EXt3gyWThqus2V2azrjWZaO6zgi5p531g37o8HjWIWZPCX+1BrWCfzdLSkHcL1qK8pc6URQjjOBI5O3mgJn1L5w2e9Z8gjDFYdi+WFseGovMPvCN8Njegx59vzlwWCXA7+5Mjzre8b9Ncs80pWeJy/e56Pv/S6HP/kTLrctN/eOtVxD2fJqt2OOmeXVHeZJQ39hkRBxWBbfs3DkovdsW8OrcaE3Dt82mMWxGnpSnghmopGW3mzZyR2uhUVapjJztwtse89xibx4coFdHAuZkGbCcc903DOsOw75SGyFbnNJx4ccDi95fvWUbz77Dj/+4Ut+trvn89truJ+J1iKnZ927aoytnsgnF6gwzUyHwMW2xaSZ+XBkM2y5Ho+kFGk6h3NC2B/p20E1UyRCCmdd1i9fpST6vmOZM10z1Ga/kARoHIfDgfZijW89TJkSC4dpRKRVLvhf8/qVKJLfNOI/dZJirYodTrzVr+AiAky5Gk973QSXFAmz4zYmjlZonSPZhtEcuT8GxiUgxWESpBCZjgd2u89Z5gNffPox03zkeNxxvN9x+/JaUbOkaKrKYQo4+NrX3+XDb7zH0DYYo158mcDt/sAXL1/x8SefchghoTZL0UAoRSkWRbD2Yez8MKqGRbyOnUpk6+HRyrHqFY3NYWSaIn/4P/8hzjk+eO8F3/3P/4BlPXJ/d0tOGnJgTKmG78r1nUP4UhDDie4AqEdoRufc1BAIDMuiD1LbepbFnCkUImpsH7Kqj42BnKMeECXgG0eXGlIOhBDwYiBnXUBo+o5kTY1ru44sibmagYc8k3NmniNHq3Hjgx0YhoFpDmwfP+H67pZ1O3Dz+gbfNhpkQrXhKmpFA2C8IKI0j4JwcbHl6uqKw+Ggdm4GTFa/SG8dprmgaXu2V0/phpVGrwYVbjlE0+VEuXTLMmOc2tmlUCDusY3HnBAplLuX7u9o1wNY4bt/67f5r/6b/5r/9r/779kMPeNyYG0T87xgjGPot5jkmG7uEZP45jee8N3rzJ/8vx/zk1+8om16/qPf+1s8P1jyT0cGv2GaXnMc79+6LlrfkU5FpSi9xBTBWeXDO+dYxFb4Vj9rjyJAHiEbRxLlxNmiNj3GwExWTmURyIpiaJBMom9asIZ5VkqLWH1uMlkpCfaEsgmSFWU4ie1MfV5PCNSxRASN1S5iMN7geHtEadd1CIomC5HnzvDi8ZYXvWPIkZDBTBnvHGIMIWcyuqnvlwnxLRiLdU6bOetBNH1yTpElzIom1bFwjBGsGtln0ZS7KSYlOUWIRPVDTw+8VleEuRSKMbyeDjyyz4kUbu81GCHMM4+3FyTRn29co0VJ0+C9xqWHEMlpxpnqTlImbCOIBIRE3xRG39CYjtVqhYgwjiO966qVoxaI4zyTcqK/8ORguHl5zbjb84uff8rFesu7772DLYLJiSyZYFsebbasLlZMP/yYFBQFt7sd2T/Xxsh6AoFxHIklY71nfXHJslpx//nP2awCbWOUbygWQXmfbdvTD1eEMFFSIMfANB+gHPn2Bx9w9Y//IXne8+lPf8ESEuRC6zr2u5nhkX6Py+3A/e4lKTrW64H9GDDOqsNBFa6lyk80VVAXw0wJsdr8nTzCLVmohG7VYoQ04nyLSKE4AyazcquKZKnFZkH9pnWyUNHbOqnR9W00dbBAiYlsdI1JLYCttcxyoh2cdCBy5lMr9SGTouo3nHXkhzaTXANmEEWVAXIp56j4k0exkAnzVyBzdRJqio7yjdTAoDqROJsMhAPGqJNKrqSKktKZQqHhWEKOUUWL9YUxq73jkis1qX4/I0Ke8tk7Oovyw8u0kONCbltiA3NJjNOBJSxkAmmCcTwwj0emEDnGhb7xjCGzpJlXd4nOd+BaHgFXJXBLYDtOrP1Ms32HTIMdZ9rWMwxCFI/BU7wlZLBEYtHcAsTqNEd036M4pBReH3a8t26ZSiGGkamM3O1n9vc7Xr5KvBg8v3m55bKFnyzXxPE1F3bietVynwKtHLF3M/lnA6tDYr6/ZXAT7XpF33fEKbHHkvIMeaGxBt84PV9LZC4BOovvGyKFMS5MCEuGvlmxXT3CR8v93Z7PX+3YdQutc2QajuNMWTI2ZIYAEhWsSDEwxUQoDa65xBdLHFbMruGwwDgldrcz8/FAXjLeWDD2TNub5/lL04O274hpZrve0PlGn01vSWniuN8j1tJ6j+9aQBFiazWl7zwC/aVrPbSIGJY84YzHW9VGLYdMi8eLJ01R7Sud7jvZqG/0HP89Q5LfFAWclfJnM2hFl5umAQ5vfX0yKioKKbIsC/fHA6UertYW2l5jnF3XY7Oop20QUoLlMLE/7Lm9fk1Y9lzffMEyjczjpE4XKWNFfSujFOXptg1tZ9hut1ys1zXmVReQEUMRw5ILS6UHx5IUoTBC5c8r6imOEuN5mHUW6YlD8kQrcDkYLjqHd7GOmBKNg/FwRET4xSeOm91IrhGkKUW8eeABn+QhOupTu6LT6KpOmFREVTfmpqliMFUxEcJ0TlN6U1Cpo42EiKNIIYZIyXIWHygXWQvuFOI5NEUFMoaSE0tMmBDIcjLWVzqMNeqgMIflTKFp2p7d8ZrVxQbTNNhUmKaJplImxsOBSQTbNnXca6vJeGJo+zpeybS+YTZQciKnTMpKm2hsQ/Y9rlsh1pGLKK+z0cNcF62mzp0Mzq05IaBFC6rKbyyn0Y6Aayy2bYAFrONbv/YhlnROkjTeKJ821TG1tYQ8U+ZA6+DR0NB7z5IS/+7Pvs/3vv0+766/xrr1QOHZ5ZpXZv/WdSExnykN6iKhpAIRHdljTlQBUz/fhBGLPQvVwBYhirqeWAOmxiMXBDH6XkXpyhgrpDqCzkZpEif7thNl4mGt10LgTXWfTnjPDXENfK7rQ623vopucaIGpaAUhMe9553thm3r6CQhoqKnU+MtqdRQAkM4UROMNnyhBJyz4DUxMKdIwZBzOKsRT8W8mNo8C5SQznSbLOYcuHB6+KVASAXJkcMxc5xntf9K6RwIMgxDDUisBa01WO8wzhLHiPqM21rDCdSoag3pKDTW4YYLFcF2nRZXohQBYiFOua7Dk/PCQgxJm6niiMEwjYlpjPjG0nUdMS6IcyQKfdeC2MrTdVAq7SYpRWCJEesMJQvJWIpoYuOSsqaHqhxUV3uMNBtdr/M84b1TH23RCVBIiTjf0/nE3/793+X7Xcfdp69JRbjbRy7XLWFJjOOI71dcXa75wSf3SFGaSjaOnP9q0MuJInR65gpC9bpDvCLuZ9pBTlinwiqlHFHj4BXdKHWdQ6na13IW752oB4lCygl7mgjIAxXBVMIFKZNrsX0SG53pB6fn7Y29t4gmmWqhWd+XCBYNCipy2q/re5UHfvRXCZdO4USK2nCm6J1+/unyVgvnIprip+tTOP0mUumEJxH+L4u33wztslIPjHR6rzVSXNtjtRY1RkGHooBZLBkXtVkKITC/EdntnE4nQ4TZ9BQlNNIQaYHOw3Yf2KQJZxNOWkqpaHnj0VgTA74hTAtiDNYqhebL9lpV6FyU75+MxqhEInOKmLCQQuZmdCwjXJVIXDusJNrdnp99/jnXx5FxSXStwafM8sVrXPasbSL7hbYzdN6oG43RfSjGGSRrHHcuRAIpzxgHrrWkkgkpEmImxMzKNfRNRwmZkgrjos4pF2tHMS2lQFoCaZxhnLAxsmpbGqvpnvp9hJQtyTjmIoSUSVHUQ903SIoUMRqiJak2WydBojoohZhIMbLdbln1HYfjpBqBOqmhPhtN0+jvk8PDPf7l0cf5E9Az2BqBkrAmIw5S4JwOHGIkxUjvO5yxdK4BY1ni2yeSb7t+JYrkN6/TojRqPso8zyzjpDzIr+BalxSIWUhZrX2cN+TJMoUIJpGsmuinRSA1NEUtbVKOUBZSPHL9+mfs7m949cUXOp5eYhUsCHOoXXLf0nVPePbeu6xb4VuP11ys16xXPU3rKCVSDPzi+pYvbu9JCMZBnhRVOO0/OdX4baPoRqIWyFk76KZErnzh8WD55uMWYxNt48nZcv16pm+Un+SbhiVMtOst+3gkG8tmuyXtjmfldjpZbmHP4qqUErkUvPXKxhTqZuDURzZGTFaxpPOhGvGroX+MelAbY7CNwXoDUnmqxhDzrIvWFuIcca4hTxNiDTEnojVqLaWMVeI8MwyDpgiWQiyGtm2ZYmCaJo7TyBevr/nGB99S/lUubLYXWOvx08Rht2c+Tvo7G0OPRimv2h7XKA2h6VpyTBwPe+I8VkGW0YM7JIrfIq5nePSCfrVGmp6FQmOptkZyZhAakSr81CYuVy6ltZlULH7o6xRExU9GDMRYi6EjX//oG/yH/+Bv84N/829okqH1DSUL9/sRTKFbN8RlBXPAzJnf//AF//L//HP6fs2nP/uM//F/+uf8xm99j3/4e7/P7vqWGBOr7u3oapgjxWuBqn6k1ICYWONxnTZtJ0FMjBpeQKJIeigMTkIMq/z4FOuhmZXXTFF+q6uRpBjBOKUvmLpoY02tOx2ORWpFLJDjiRv5UIACmCr6LClScoE44+Tt7xVrKCVDXlj3Ld/74DlX24HejXgjLMWRiyFIVqzDOXUAsBbXNBTjQEwN45i1SDBGJz7F4Zx6b3tBCzmjrhx5SWDd2dHEGLASCfmUY3ayHMoQE6UoLzgmVARM1ojuJeKMZQwLJgWs94TKuTsuC2kc6ZzDOYOgXMrj8ch601OcNqpFhGz9eUJ0OBxq49uwxIDxjnW3JqXC9ctrxnFimQ/s7/Yc9xPetVy9+AYAF09eEPLMF6/vsVb4+rNnhLSQraO7fETgoGVMiDS2IS2F9TAwH2N1tzFMcyCNC+MC4jqMF3BavKbiuLjoePnqc1IsbDYbRFpWwwZsZCqGpluxzAoO/MZvf8STx4/5F//0f2GejhzHhadPrgg5cdzv6XzHdz78Nnfhnv/7T3+KcTpSTtWxSKmI6kgSZz0gEwWTCxSDrwiYfUN7cSpIk7U0NcDjXLiGSmqoOg/QMJfT10B1UrLK7c5RqYBODN2wUqpHDRtJ1UFCGQty6jgrFU2/t46tlTdurWUMp/uc1blBDDQd2TWUyveveeMnPaBqJCqafFpnbxaxpwJZXVEU6rXVV/a0v5ZSWKI6tDy4hjxEcCv3WhHph8CSE5e7NujGnF0szpcESqki2LpnFGshZVIqsESijcrZjQGTE94ojavtGlaScdmyca06uXhH2w7cJsshF27Fcdlmiux4xy9cekvvA5IXLtYDZkm0oo5Bx2lWFDxlcELTeVzJII4kHoqWTXqKJCKJJQhLSPimR8wIh1uaIITYchgj358KjzaWrz2+ZMsV1zf3XL/cE2bYdh1DN7A5Qr8UfquP3JZAbgoXcc942JPiPd5GmqbQtQ6D0sGWaccSDvQbR+PsGXyJaSES8d7SdS0xBkoy3C8Nh/sjL8TxQR6QYsiHmfl6z7LbIQZWxmJyZs4LY4YxQ5aMbVqKaPpn2/VY1zBOATnZhnJKX0xnNwnnrAqPC5CExljiNDNs1mTgeH2HM2rlNoUI6xVtI2eNiW87+v7tact5hrZvaE2CqNPepuu5zzNYR5iX6nhmFWxDEW/vG+zx+PZz5C3Xr0SRfBYzyJf/zhjzMMKKia+YtKpIQ/TlzlhWXY/YFhsXVW1XKzRkhdiFAoTlnmk8sNvfcBzvmOYDh+Mdy7QgWFKKyumqgg9pPaXvuXr+nKfPntMTeNQ1rNaDjtzEINYwp4n7w5H9UWMWU64FMlr0S0VwdQ8r58K58BCb6nLg2ablycrRu0RKkfmY8N7TNbCuEd1d15Gk+thidJM9oZzV3s1UEUhOD8KqN683fboVF61xpFk3Oz0wDPO0PGxulQIjopvjaXRvimEqs4aTWEcO+vokJzFmOacK5iw1wtacUR5jwQRtkIoRlhCZQ6DLSre4uNgyx0hvHBHBdT0yLZRUaLtGf9Yc1NpOXLXHKyyL2k9ZUXTdGcjWqRDNGGzbI24A22DbDuN8tfdK1XKrHiBZX28K6pNa712p0eYLCRurWWGpqIxNqjbLKo4s08jv/c3f5rO//HNcVfc71xBjZgnj2TqrZFhS5sWjnssePltmiIXrV7f8qx/8Gd/51odsTMPlsEaO81esK6Md/elzr+iQkYypxZsxGldsWDihYKfY6WKEMxhaEkkcxeRqy1YR6vPzq/xlV6PJ5xzPaDro6NdYUcGJgvSknMkl4nk4RIHzYWxFxW/OKOfTWYssX2F3l7WJ7vqGy+2ai22HawpLHDG2IYivASbqOuGsU+9mxY3O/tBODFkcJzcCyZkcFTk8FSwnjmbKsSYUesQo51pED/9SUUadylROqLEqwKpOGMt+Amvohp673Sv1NJ8nBrlQ4ZNowZQrNUmkWhHmgKGoQLG7qD8jVxRfiDV6FR6i56nf4yzmcg6co5UNxgyI2bMsEdf1yvMTjaZvXK+UomnEtF7T5boG39cReoz4cgqQ8ednKiSd0BRRuzbjnK6nE+InXm0jg6YJnhKwinhtjkyH8QOlLJXaU3j0+JLLx5dcvwp4t6Ib1L+86zpCSBwPE0PXsl6v2U3lPFFaluUsYMvlISgDI2cagn5WVpsgMerzWz9vkwwSQZLuV3pelfOzenr+CirGNZU+pF9ngQA1lc+KUSu3ECClM7VA9xEeXlfnP7o+ISWl9JTauJa6lxkUmXbOIa5leUNMXGrACVVMKUX331Ozypt/zj/3y2vxhMK/+e9JdMJCAm91PzgDWBUlTpQ3aCcPh8ypSTYiZ+clUkZv8MPXIKKx6qJItcfhxDBlRSmlNunWCa5YVsbSGsNQPI2D1ns2IXAnnikVdrHjPiY2ZuSp7Vl7wZtIKglrW4zRc+n0uUd9w6glZOT8BktTN1JQ9neEFLH1vpdYKMkwOwgm4UyE1nBvO+bs6ULkBQ3JNYhvIAn7OVBc5KIdaCTwYrGspOfoLUMKHJcjUg5V31Ho2+Y88U1xQlJUM4GiLkZ65hecCNYJWHTyEBO5OI5BGEPR/bzubae0SKw5c8WVHx40v0lmHAWT03kaB9Q0x+qlZeozV59j1bmY834uIpSUiTkwtC1TCISUtJlE64MlBrrG1UarnlFfgSRLUW0T+WRbWpT+lzWdNFPIRieeoWhCpe+c0j7tv2fuFubEPRH1LRXjkBlkUguksjLV6uYrXt9avcnqzUbjHGG1wcZFxQZhxhjD5YVDFqfcoSlxPb/mi5c/4u7mJbcvPyHFSC6WGICk3oOaLATuyWPeefZNfue7v8szMZT9DV9/sqa/aOl6ByaylEjCcn284WdffAoZDJ4QFoxTpFGKoRWliERTWCIUowpek2cucmHbwPOLzIWfcFJUyJSUV7vdWERmuq7DucI+LwQcy7KwvdpynEZ822IpuCkjOWNyQ44TkEgFbNtCKaQl6EEr5myzlUT/2KoQjSkytB0+9lrciiFLoesbyrIwjZGucTRexy1mUjWwN4axREIMdBv1VM7TXA8Kx7JEUgkY77F9owEBJSPesz/cK5cOz93uFjrLcZrwxjLOkRQWZHVBCpHtegPDmv08AjBNgc41iDjyog9VzGp75XyHLQUzjUQPvnmCbTz+4rFSca7e0cPGejxZxXoyU3IhmKBoY0nMJTHMWZGgGucrRgu++9uRtm3r76CHSswJP6ywvoNY+Ht/7++y+/xz/uif/BNWl89oVxtiEqbpSGOEF48+4HB/YD/c8c6w4/2vrfnJn+/J04LPhc/+n5/yz83/yjc//CZ/49d+A7+bvmJhTMrHTBkxWvi35jS+TCRpKNIhZcecJ6zvKBlcPVTHaruSrKUYh8FhisW4kWAg20yXDA2GY6oKdKspR856wjyxzCf0DT2snY7WIsozzsYQY9IxcdbD09uEnqHaZHlryVmwxTA1b9/c5pIoS+a333+X959dsmJSHh0dxxls8aRFR4FZiobEWF032Ric0/LA+4aAEMoRbzTaNMWk4josYh2+ccrJP85IEo4l482CqzQJK0I2kYzRyNhccG3LstzjvGc377Gu4bPP77m8GGCfeJ2VbDXf33H19ErpFkYY54lm6HFtw/64Z1kWNpsNwzDgnGOcjyoGS4Gm8uxXKVLKRChQvGNOmZv7HdZaNkPkuASuxxHjG9bNWoNU/BV3t9dkE4hOmOaAQXj33XfJFL54+TMePXmO98KTp1u6tpCalnbYsJ9mbGk4xAPJZYzvKCXghhUljuRSWK16ihNGWdj0LW16Qjn+iM56EgOvX0/kfOTDb18geFbrR6yGFcSJ8bCjsYbN1cCHv/Mhd39yjwstn13vWZeWi0dP6FaPufvFH/Py5TXerogpcwgzRRaaWBskGRAyrRwQZixW07i8NswxRnwjpLIQZMbhcNEQbURiFfqkrBzios4LOUUoNVLXKd0sx4A3lt575fc7i7UNxhRSmjDSMGYtvEyd4IHBxBnx1a87V3/YxpBLLWQy5FEokrC9xVlDPE70q57iLdlajd22EZhwKdKlotV9qestCcc3waZSzs40nbManBV0fyzW0MQVUgq+jsStMRR3cg9RCoSIwTETc8A1lmyEORS66ZEWWqKonTFexcxVsChFi1JnHUEPf/2drFIbCYLzHVNacEXH6Lk41b+UI43zEA6s246+7ygIc4HkIk0uyKrn8WgZ9wd+HCd+VArPp5mXpqG5fIf3LlsOS2B7+5JpOdJJg7cbGtcyFsN9vqHvLG3uCfs9aXpF9BkrnjLNNI0n2YmncyasGhh6Lm4LFg++BVfIjFjTg10TS8sPXh3pPoDV/S3eOFbbNfubLcfrO15xw2U7sL0Y8KsXyOc/oHVHNs07rCm0cWKVdviyB57is6FpVxx/8QUffLilvwBLj53XFG7wJuIve0aTzyEjOVlSuqCIY9g+5TYciMGAtOzjzMbDKk+EQ6GLhsyOlAa49zzbXOBZGEnsU0T2Oxo3MI6ntFXLUhKNNcwxkOte71JGGoOvBgvOGab5yMvr14RYMNbS+4aSCnEqhN5Cga4xdK3l/vj6rXt+JHFcRvzQcdK1qWOKYT9NmNMUJxc6nFKevCPmwHr4CheIt1y/EkXy2xhSMU2EMBPCoqbe9m1fpVfrdDPStIRcE68STdNSvOMgdTQeIq1r8J1FTERk4TiNHOeJeZ7JMZOjgXzqfioa13u2V4+4XG3ZrjdsvcU0mWwTSRSdQMBYjy0P8Z8l69jgJM478YBB/zu+wdUS1Eqta+HpoxXrTvAcETJenBaTtuDqRuy9xzlPExUJGbqB3e1MTJGuYsLq9VmT16on5smDEqnxrCq70I6NQgpBucVeaQa5dqVSv95YFC1IUTlIJRIjWHGKbrmGnAqhRFJtbE5epCdUyzlFnErloZ0S/FRdnjHiyCja2bZ9RcIyfd+zn0dSKpqWZhTJUTsqtQnsh5am8RXN1mcmFaWLGKcMQNd2BHGId1jb0a03NKuepdIq1JaIMyJ4+ozU+7F+TxSFsshDNG3K1Qc6EjkhTjVJKiaKUZ6V6wY+/LXv8C9KxlhNXLPeA9qAZJTfa73heDzy+OqKzerIj29v6J88US76L35BjAu//s0PadrmAdx44/KtI02KCIopFf/NFU2uPNVqCUhxdYz4BvpzEsvqOAQRe07JUzzKqKVZ4qx+P/E+zyjaiWYkyts1p6lBUQ5l5xtSHtU26w3Bkj6mD2/q4e/fvg/Mc2DoWprG0nipPrNSpwnpS/fnhG5kqdHC5suFt4hgi63I3qk5N+dReqnTrdO0S3LBGKs8d9TqUKdHD/ZwOWdmMotkotEJTiIjWNpWw0JylHNs6n6/p+26M/c1Jx3XN01Tn/l4bsCcszhjcMaQc2TORu0JBWKxhH3G2YaSAnd3O+aQMMXgcNze3HE8LpRsWZaJ9apldzji1xt6bxnHmZA01cqi96RYg7F1b6Omq9X17cSRWB4QVgpYR4oLXdcgkohRHUYk630SU2gaT6YQlkQuSrUyxuBF1fExzARrGYaB7eWGL37yGe9ebuk6p/dq/Zinz5/wo09f4cpMbzMrb4nZ0Trd745hRiy0FlJIeNsytFoxxgymazFSML5hSTMx1jQ3KVirPsqlTgZP1phv0iu80UbRnP7f2SNc6rIr2myljHG2vndzpkYUSp1GKFXBlIoyF1Q/IAaMU4tGk3TMbcELZEmMy4bs1ki5wEhDwXJ0hSKVK59FpwO/5BZwXrPzjBRoc6HJtjI/4pe+RmkSGV+xbodAKnTuMXOemSdFvCV7DQkSpbkozS9SSqq6At07UxFyzA88bxSNzKnejxpYk4o9c8n1vmdCysSYMCYwrAesWF2tVijJUpwQJBO9o4SCCRorPVrDsSScb7lwHZt2xyElukk1Mm3Sz2b0HufUZi0bpxOmGMkxQ0rEKGQCcwykEIhLzl4HegAAIABJREFU0DTduNTaJVBiIZuTo09GJCGmgdJwf3iFSGJrIn5oYZ/YLRGz7ih5YXuhTV2aFgbv8BLpnOHy4oJh6MnGYhB1cTJWRcQxUQhnuzxnlGYzh0DOJ2vD8rAHVq/hEEKdEtvzlCQlDRpyFBZnzjScEGbdf0Qq0l959EU1HrlSPFPRSYcgiDf42ohiFeVWa7uoxggq+8J7W+1D9Zwi5S8ZDrx5qc5I9T8qK6hng9X9yBhNOC65gBWsc2e66dum6l91/UoUyQjKaSm8cZgthHhkf7jmcFyBPPnKl3cYjDWsN60WnKVA9sRcuZfeskgmLxOfX3/CYXfDpy9/zKtXn/PJJz9jPuyZjxHJ2nQLWsCKCDL0DJeXvPj6+3xn8y3evbjELDesnnTYZiEaYXGqhPetPRePhsp/CzrCFio14cRXK4UYwVdRQieJi8bw0fMV720HGnZI1vcl0rKfSy0w9fdqrMM7y/1u5Ocff8KvfeM5893PWXctvHqpNnoNYDKhJNySyJJ0zy1Jx4zOkWsYROdbINE1XqkWSXmPOQWWSQt/by2t9SQ09a0xovZwZLJVTvK6v6gcZvCmrR9vhMpVEoFYIjFHLbZyYTqOZ6GRYOsIx5JSQXILAeIys16vVcBpBN80UDwuLogpaj/mnDZAYikuI61uqN6uMFWst1RrvMUM2PUWaQbsZoM0Hl+qSAPdtGNJZyFNCXrIUP872YJFkx1NMTiv/wyhMMfAPGnQRNvqPQhBkTlEoGn59b/7Bzz98ANuxj2WhjxFrG+wpgqAGqehE8eZ5xePeLre8eO7iZ/f3LLp1ixz4Mc//il/9Mf/G7/53d+AF1/7K+tiiTcUViqQMQJFKSI2FTDgXQvOsx8jG1mpCIVMqNylkn95zJUAQ5sFU72gmyyUkpV79sZoNudM43stEEsiJ+U0juP4sOzFElOk8ULJUc/IIiSpHrFFBRilovVYo3HPb7ku2oHeCx+9/5TLrmCORxB1TDE1flsLD31OTslloWiWgBayGrmuG35DyYGYlaokxqtpfRHGuX5NtYJr4xFnIS6QomB8Q06T+mmfCn50VC5Z6JoWybA7Lnzxasfmas0cJnKI7F6+ZDQGlszlk8fa+ElHiAnfr2oMttpINm2PGMe4P7CME02ldMVWGT4mK8e2dw0xZVIojIc9xjj69RUkw8u7I6UIw2rAGMMUM6F4PvnFNetVj+17Nts1PlXOaLZEK5S2x68eYdsVxhtMssSQNdJ6GLAJlv098xwQ7/B2hXOJ1i2VZjayP3g2l1tVvl/f8f9R9yY9lmVZdt532nvva6xx8y4iMjKyLYFVKrHImSgJEAQIggYaST9Sf0BDigALAiGpRJEiKiVmVkZmtN6b2etuc1oN9nnmnlkeQA2z3siicTN7z+85Z5+91/rW69dvOc2P8UBdRmKcGLxMQubdkWWcuLpY88tf/pxvf/t7Sujp3IrjOGGPO66fbfmrz3/G12+/Zbda2MUN49xxWBYKlriMOOfpVz2HQ2RJilRySxy0XG5X7ELkdDxgnKXvViTVoZaZplkAIbYx1/dBMqZNZ0yVREWMSOdOSaR9vhmptVKkakipop3BqErVYmWsNYvgqRTxhyglmuQzI7wqKeCNIivo8GSVqbYSUNRQScOJZBVBG7KyJOAyarQqUBKqKKiaUf1hgt6ZyY8eoUrDoxRBZqUyPFwGz//vnGSMLWtbvtcUvhUpk3egHDkZiu5l32+nQGmth1qlGENZKaGUdLBzkwSR5RpejUSB1xKp1hNUpuRAzplxKSQKF6EQU2BOb7HWYJxtZteerFbcxRNLZ9DHwtUY6P2Go07cGYPyAxwWrq0n28hpCeTpiJ1HBq1h07GxhqQ1QTuiX2GqmOGrlgklObDUil0qKra8hZqx3uISpOCxeo3utmjrWOoL+m6Lrmu+f/cVu/nElT/x2XrDj4crQhz56u4FfVn4T//8pzx+9Bm//14KxdsnHffmxFYv6DISSiCHkd7ApR+4Wm2Y3+zJdSHkmZoTvV7hdOY4zwQUsSaSjmg3gLbEMDIvkdO8kHKUhpyR5lcuiZIjbjlRg+ZqtWLrO1TN1Drh7MCYGpWkNT58gYSVQruI98tog8mF9XrFkha0G0i5kpN4o/veYowipYDzPa42KSYVHTK9/niZOqYkNKl8lqO1xpQzEDOppYmqWkl90/Y3edHZt/EPef1JFMmqmYr+uLavZEJcmOdRDtfh49qU84I35ozgqRDFZY9BtKclcgoTu7vX7E537O7e8u7NC067e+ISsFU6x7lKLCcGbNexubqiv7zkcnXF1XrLurMcTieCqngrLE3pv2m0caiSmxHJtHFeOe+tonE6n5jnDQHRDK+s4npleTRYfJ1RNTXvhm6XiBYlfY73be9ba+H8oj/F+IE5ZVxt6WNK7M+aFjVa2+9QW0DEWTuHatB4jTWC9IqL4HusEWRYWiJVg9XNVapqY0tKKEOt0gmVGMlm7DPyszRyqywlPWglSyl422JHzwEkpbDqVw+GI4Ninmecl05aWCa8dyjXY4wnx0DBom3BZS9xqUbGKMZ5jBMQewiBriGzkgbn16Rs6LfXmH5NtxZdZ4lFbqAoCSmprQuCXAQkVSy3Z1PCMmqtMrTNgsY7GzTlJt86ZU3jrVuh2IJy+ef/xb/gV3/zf0gkcixCJjC6RcFmMhnrBW0zmA5vCsf5wD7D5dUaqw2//d2X8mx9pEhWRGoRTacpBV0/6Maqc0fVkhMoC1IIyMFHFf0wSrrItY1adev4GJDIW2iabXGqm4acikV0qOfpyTlJy3KeJtj3XXay6OZLc7rzh+Ek5cOv88c7AL1TPL/ZsDIZlRYe4nmV6A2lS9IMjM2AWqp0CJ1z0C58532kxiw6vtpSB5XGdZ6S8gca94/oN835aysFjxIdMkrhi5KY96IhV5YCx9PM9ZPHKGNwvmKKRaLQ88NIWmvdQsEiKpWHQnmcFqZwIC6Bmgtdv0EpcKsguv4lksmclkCaM1pVka3VyN3xNeMUpQO/WgEQUiaERLGWlCrG9lgnUcDOOrR1GOtljZgO7XtqS4AD0RCeu/Lnwkqi5teo+ch+v4NVxVlFjTMhKYyz+N5xcblhXjLjlMjKYPoAtl2Yc0HpQk6BlBS9d9w8vmY6zKyb4TEuE0YXnlytqfqCZ2XN3eLZHxXfHh0xZabJoJxQCgRTJvuzMYakDKdQ2K4GjJIgoxgjSmv6lhBYSkErg3OWcVzQqnW9CqScqYbWkWtrvk3o3h/I6uF5pj2PII2SqiqdNeQWOWy1xmlNdw4FacWk06ppZi0Z1ZB0qulNDQUD2lK1kUZNVCgjhUKhtOJb/cGU7EyYMbpv42qLSpWSzxOntjcgPgLdSZf4nPSplKLkgZIdxTYMHRbbdNNnDKLSH0w4S6RSMMrKhU7JxUJ2TR4QcbWFupx14DXJuohZkJQYKbTneaSqLJNE1zP0G+YGqLO5ouNMngPGdxIbpC3VOJY0M4bKnJBLpq6oGggZlljpikWTUEr0tV4J6ixWaTpQFUpbXJGuemlntkwdJfsgqyLi3aIwxmG1wWHBOFK1/ObesNvPPPvplvXGoueReYI5FjZXV1yeMod55Kp3FK/R80idRnIYSXFEkeiUotOWMUbO9AubE51KdOfxtbEUI+4FZc5aepGXlza5Ux8kRCpkSpaniTpqeqVwCKtdqfzALzZKgrNUMytX5VCIqfQ8SdM5YxRY7/B9x7yEloApRavWRpog1sqks76/vH0YGPLhy/Vd69CfaSoIu19VUonUIs+71ppQMiUlVqu+BaL9QDLdR15/EkUy59Z4O6CFo6qpRTRUOSuWJQIf/7ByTaQYWZBiS3iMBlMKXjlKWFh293zz9X/k6xe/525/x3fffMPudg+7EVNkJJaUolgFneXy8pKry0c8ffIZfb/hs9VjNlcd5BO+RMoSOaXKcGVwtpOuobOE8cR0mkhBxhulyLQ6lebfOi8cmva3itv+6dWan9yseDZEvFbMWQqYOSaJbzVSpHh3Lmxr03ZW/vbXv8Z3hb/8J1/wdndHOt1RYsYAOhWICxQtXW7jKLmQCqQcW6KXJkcBM4UU5LMIsrB67zBKseRJOLvtb0GnirIChJciWTRBVS/CyLXnw1OKKm8Mum880d5heofNIhs5nU7vxz1mwZpEbaN6VTJ5LsyHA+vhkVyEjMHYCzQRYxI5zYQirN6axfRXlEfpDrRme3mNocgYrGZc94QL6xm2j1B+jbEdKhXQS9skBHeGFkmArGOJXT0fLq6W5hpPoDTGiravtFttKoWsCjaK4TIuAYrBWEU+RbCZ//5//J/49Mefsfv6t+iUWSmH01o226ogRW6XA1dXT/nkJvB0d2ChklLk5fcvuNiuGdYrfvXr38B//d/+vXXxeIA39SQ0iryiVo/TPVEFVMk417Fya7Ie0EroGqUZbiqOzromu5hlVFhl1CoXoLbxOIOxDh3Ph65cAZw2VF0xlgeTJlR0Ea22XLAKXgNGTBsZsFZjnegOz2aPEIJE3paM+oFO8l/8+IZ/8tNnrMsdOk8kI7duCXcopBzQGrwdQGnmJFg3N3h0Q/blnImN121LRZsFrWZCTRjTCe6qsW8xEGNLnlReJEDWgiqEOOOQSUjO6cG0pawERKgqly3rDO/eHvjJLyScxxiDwhBDZgmZDYYQC6coB+64LPRV4XxPSpndbkenC8NKOsy+WzNOE9fDRt5LDljvKDbxdveGzdATi2FZInf7hbv7PRfdlrFM0sFxHf36EXfTzFJmbncjzz83bDeX0GlyslKEJYXXPXZzhfFrkRdo0J1HOc18lG5x53r6boW+uYHdxP39iTQVOgPrwaG0Z4kzy/7EHB3KDRh90Ug4C7pmajXUWojziYxinDLjaeTiYkvUlqTh/v6eSwVrXVnckZvNQGcdP0ZoIf+0rBjHmcOnHRHNi9PMnK64u9/z7niiYinGMR9vccFyPazIXWVcJsYYCHn5gOMvpuDSYp5zqcTQ9q7OEFKgN51cKFPBGU2JYqz1RgJmQPS5NQd0zRhkwicXRZF0GC1Eps25Y1uAqjEqo6ohhRNaF9brgc5YtCnEZAhoFqXIRVG0ZvaVziCVkEpYrbjE/8HY+UypiEvHXDPF9tRU0Kmg+/zQeDoXfiac/kCGBpAXSUDUTqR1eQnolUHh8KYDtKAtzwYuBIUIgVJa4dkYGbZKB92cZVwAKWJM15o4hqgsXstFjZw57Ebm5cCjx2tKv8EYD6uOT43B3x0J08ibfKIcFIPr0G88b688U4K/3UVOc6SPlRtnubqQ4JN1vKPXa65d4mgjg0t0tkqHnZ4agehRA6xw+KoJVppbxntM0CQrISmYkeoqrq7oVWZldnjfowwcR7iPE9We+GRl+Gef/BxrD7zcBdzbHe/mxGhmrjvH1ZMb+ulEfPEtbrnHmh3bPrGxlq1b8eL0kpItKyrGwCe956Zz3OWZBU0kU2rCeIPWhrhEpiUwxQCqsvIOiiYkRV4saVKY44JZDDpH4rEQl5nCxLRkOmfQviOFhVgyU1hAGXRnpTlBpNaCVyILGjZr1hcXvPjt14RQiEtG1cRq2NB5S9etCfGE8laQkiU/mMf/+OWVnE8x5SandOgq/HHTyZ6aqW0ClB6IWb33omf/B77+JIrkj6oMlUG37G1nO7z/gVQxJDzkjMNR6hyhXDmOIxZJohqPB477HXf373j17jVv39xChF5bcs1yM6SCt5jO8/TZMy4urri5eow3nq3vQSV2+yM6znRG4fpeDqcWZqGKkBQetEilaXNognLkunPmIddK05fBuu/YDj2dLWhVUMU8FGlyay9to26YnLZprTYbXt7e8dXX3/Kf/dOfYryjeofSGbOAVgVTCwlhlypDY5q2IJOi0EZLx0Yriauu6qEDmnN8MPWJYx/pgqPQ3mGNbkgs+56EsUgnVLekJWrB2o5aC0tIlJQe4q3P3cQzNWNeRkAiR0vJeDc86Ja999QxUHLGmh5tPDrPhJrR2mGcwTjRDhrncb6XTny15Bo4G2W6YcvKywabjKbm2nBm75/H9xpYg0R9/9GrSEdfIbJBjSG0Q+dBovHBwSISlArFYgoY30EPP/vFz/m/v/pS8GdZoRzy35XcplMr3pxzPH38jFfzgRjlBn46ndDOvo9//eNXig/x1yT5ndFa+LtU6YoZi7MWGFvXWPH3L6Ma6RS2aYSW2OoGdxa6Sqx/8PcoB2uW6Yd+HxDS9RJqUYIYurSq2M7IKF8JGcNaLZ33M+EB3gff/EAH4MefPcVr2DpHTYFjOctj3nfvas1U0zdCgUQxgIQACYZLih7nHGWeZD/RTYNFYWnOcW0kUiS14kh0z03vr88TBvf+82jbbPaGUqWzmEqheuEMOyc/X5fCslS0nYVdjFwMQouAtl2Pdp7Y1l+3WjPdviKlzOJ7VleOUCp50YzjzMvvX4muVzuOo3DVU1jIuTKsVsQKy25mSeCHHtsrVAk423F9fYM1EFLhcDqyWSnCIpe+lBXKiflRd15itz8Y4TvnKB8kWslYXp7ZeZ5JVJxWnOaF1fUao4SWU3KHokOpxLjMxCB6xZIKSkUyihAq0zQxzSeccWhrmMeJzWZDmEaUL0z3E7EGOm/pfeXJSnwpz9Y9STmGgyEpzeHS8OU3gVgVw9U1c0icjjOUhb7f4Fzl/vW9NArMGU/Y5Fbl/bj2zMnPbTOw1kpx14JPTNPHO/te+66NJZUENUsMNTB4J52+NrWx2rDxUgjk87RUt/1NLVSjubrocEbjs8O6hVErjroSq6zzLju8TVAipIgzlp2TCU9qZsTzeg2LYcqZUUsKW6mJKV89BDsoLSxxF3PjWYvuupTCbL7DeMWjx2u0qdze7Xh932NNx7DuxHOgtVCj2rRI1cbWLaVN4EqjdtQzvU4umKqFmSCpdwZzFm63vSk/kFvO8qYUIjhFXxRdigxaOMImz9hiyfsjb9/csnQ9u1A4LonLnMha42ybIpZCZwqdrQRdsbpidMFYi6mGFC1oj7alkWs0Wuk/tjhQH4CnFZWtTPVUyykoil5V4tDz1W7k/q7wdHjEJ4MGY7gfZ25PIyHNdM5hNMRpZB5HXC04k6lOnhVJOwWqYEq9NgzG0RnburznCac0OpSWfTZm0SRT38c8lwwpCn5PNf+CqlCyFNny3BhMFbkRWrOUTKiZTp/lOQ5lAkapB5iEamfH+dkzyJSmzQ8kxObsZ0jiJao/MD20bcpbtEzurRHTfV3GFlwGsSTpkBv5uTEnTFQM3T8y414l0/USOauVpdaI0ZocDgwuse4Kz68vgd3Hv0FJ1JypSbiUJQRS9ByO75jme/bHF+wPO959+x1f/e73HMeZMEdqKFQ1yE3ViyHl8ZMfsd5e8vyTn/Bofc0nV0/YbtdcPtrSlYlvdi+p6YDzA9v1JZosDMeaWQ89qiamScyAJUsIg1Vifgu5qTrP440CRleeXzi+uKk47jGDI1fpIp31aW5lmTAUCksudEazWfU44+lLYTVcEJfE/pAZ+gsO7gpDoC53FKtJXsDmkYSuimrkADdKU2PCFMAaMBWvPSlmrMvt8NciHzGdSDZkdkahcMpBsFxUdF5QVWOY2dhzB1lGbcb3TbpRRCucIp1zTKUyHk8S/OEcqRR6p6h07I8LqijKcYHHjmmZudvfYfstS01QR2SjrfTdGt0NzCnitbhsK6JLG4Y1MRVq7jDdmqFbs735HGs1ISc07XKgFaZ1Q2OKKF0xXqGLaWN5KdiWZZGfqzNog3WWXOE4T6iiiTFQlNBBaq6kIJpDMf1YUoQuHiEHYl/ZPvmEm09/xtvvX6KZ6NxAqBNLPlGLpdZrigpcXG1Z56dcq4Xt/sDdm1eM00w2e3z/8QX/bLNCHUYmVSid5zSHJv9ptAjboTqP6hQpiru4NiQWtRDK9EDCSCU3o6LBacOSM9FWbM7UScxMKMH4qdY5zYsYcDQKryyoSkxSrOEtCk3SijSNTaKTKSWL2xqoSwsbUUgXVms6u/roe/18O6LzxLvDQmcsQxCN96InKjCsNtRcmOaIdZo5SriLpzAdBW+mjSHnACFiXKEU1w6IGasN2RqWZUEj0PtiE7lWkfEkwY2VHNEYtO9xaFKV4Ix5Xuj7jv1xoqY24s+RU0mcYqTTPWk6QSrklEA5Dvsjm8sNy0nSHFdmTUfHeJzYH+7RGo77IN0bfWJzu0AO/Ie7PUZVpv09MSRCteSUBI2220uKn9JoFOut6IfdOMEcmPM92MKzJz/m8bNrLq4UYZoorybe2TVTp+mzwnbX6MuBpBU5yjRMzTMlifzAVcd9gWA08W5HCJn5NLPcniip4NUT7HCLs9fYbsPq+hOsG/h//7//wLg/UMZ3rAfH0VqWmHl8sabmzHe/+46wJMIxsF132EVS1U5jYDId96fKm+OB9dAxpIIpFcokPPo8YczCz64kiGfz8y/4L//8xzIBQ1BxxhhOS+Db13uqcew+v+DFm/1DNzcEmR4sRWGdIuRAIqPomMOEtpqVy/S9o7u+km7tFOmsQdWJnBPFVHzNqF6aFtLVE8Z7apcL7SpaJ2xdcNZjtYaq6TtZGyt/iTWZ3szEJbBZr9n0jjnv2TyyaN8xxYSZA7lMKA0xJHmvlhbCElFYjJZOr+ogobFDx5STSG/UkSVF+n5FqYp5XhiXSjEV6x1r51h5h9dXfPr0hv/qP/9nrLcbyvqK//l/+Tfc7U+8ui/c3u05HXfUHEFJ46Mb+obOg9N8wCovF6NamjxLPpdpPPJIX+CyZgpHQopc+EpvIttdQFUY8hvwYO4XvNuJ7M9XVLF8quFGw186TbaJzD1q1tjvXpBT5OdqYCmRwxhZ5orpYa0Kz/qBbgmsX34LNXMTX/BcdYz5SLGJxVdGKul4T/rMobvCegZVRepUSwYjuty6GLri8D5zPBzQVxtyDawuHHXSkB1dd0Mi8n/eTfh3d/zVxXOs6im1Mi0L+/kdG2NZafHPPNcBp7fcdhOZE+N4ZEl7DulekkOPI1urWA2Oo8tknbgojhnF+onF+8JynBmpRG/gpOj8Bq08u2nPrBfC8o4cwNlr+rUh7Q6EGHm3P1AvDcNsmFIgt8bB1q4pOoKGGCYx/1nL0DtOYaLXmng68ehyy3EcOc4L2lrBjqqKKUEmf0XkSwaNqR9vJZ8nITUlFLSL+QzaUUOk6zqU1RznkTTH1kCFKSa0736wHv3j159Ekcy5iwvNhdt0Trx31VrnIH/8jzsjt5yUJHQgp0AOgdPhnsPxDe/uXnM47Hlze8dhdySmgq0SHhBrIZeM1R39asvNo+dcbB9xc/mc6+0VFxeXrAZH7x1q2TNN9+g0UQYvWi2lyDVRq2KJgXGaWIIk0lRtBAyA5IZRy9/rmq+8Y7Pq6b1j0BVrgKIluaZpe5015CqsWKdyIzfI7b53jpsnn7AfJ3a7A5//6Dmj9VLIakMqga7rOKbpQQMtmkIjjMTmqNZKi7RAcBYfGDukB961IjE2893ZhZ+zIN90A/XnWjFG9Lk5GcHqkWUEpRW6ClavNuZojCIfcM49AL9LLqiaZbHEigkBqwXzZ50jZeFg5lxEg6wMmsKqW1GyECRCSDjj0U6CXpQyYD1+uMR0PaWEhy7l2Xxy1r7WWprBUcaefKB1P8stzv9cmxhKdPCxaZoL5IRVFlQihRb1bRoVQntqSuRU0c7y2Rc/4XQYObx6zWrjCYd74jShwoKpUJICNL4zXG+uCEkRhpFTqczz1Fy+H3l528aW0q2d5kipUTaUlNEdAn1vejT5DN7zTc/0AiG01PY1ZLxoB5VCKdeWrixO+Uzffzb23FUomVKL0EDqB0u+8hAkI5/pmdEt+sMHdrJSWCsx4R97mRwJ0xGnnATl1nPqmCCqtDaCL6zhgWqhlFAiSq503j7IvmquWBy1BKgGjcNqT1HSDf1wAvL+Pb/XTgvbVrrK2cgkKNFCaCS2EINIUqZp+oOpQ85wsdlwPCwYpYjjjBp6NAXdQUwzd3d3TNPE5uKCWAynZeHufsd2Hbh9/YrjaaHrOg7jiTklil1Tl4RSC9N4QFcYVjJufGZ7Ljc9c4hoHZmDJBbGaWQ+Oe7LzLJE3KMLtM5oLFNSbG2Htx6FkUTRIvSb3MyXy7IIDqy0A684lgi7w4gqipTh9vUOdzPhreb5ozV1KRzefE+KCyoGppKhGkLMbL0kZu3uDyzzTE0t9EhL98t6zziOTNNCCAFvPN45SoksRVGqFomPEU6x1prj7u0D27lkmdZt+oGttwxqQ64a8+yat4+2QkfKEKNoYt+cxNw3hZlxzijjWaJ58FishsrNzZp5nlGrNc4oOrMCCsVUwmzaBJSHYB9tQCVZK06DtxZnhAV99n70nXhCVp0TmdAsU01dIiwZnSLleA/OotKCdVtqDVil6NciY1zyhKmJskS09mgla97qCaql15kLVUgqUhkptrDayPqPvRBW9uMJKDIJUppV8mzuEuHXv4K+5+rZj/jzbWSnC89q5LYE9nohLjNULyFWrfrQxjCphc5b4pLJKWKtxnXSzDnpxOVKJCtzChRXhbCiIzbvZaqnBfMqlJfMHGfUnOi6ARQEnxi6NcUvD3+XxsxkmykmMsXCfRW53aVTOFWIFmoaCS9/jfOeZ+mA7hyzVhzzzKlW9iky1Rk/G8reYNKAT4GNk4lhjM3RUg2halZlosTAYR6JKpKV0DMUFu09Ggs2cjoW7qeFR0ukaAnIUtGRiuJkM72FtbekbiGUQl8WCCdKyhIJbSzGOpRxeNuhI/gsZ7hVGlfVg29JKZF5aS1x12mRBE7RKltyjUJIqZocMjEEcozYJDxsbQ2myvdOqQh7ukndChIznhFOvDFCSHIYetOh1PgweaFNJVIWlrltjRF+oJN8ni7qh1pEaibbe1QRc+V5T885N+N8q3OgHO/dAAAgAElEQVR+QLb3sdefRJGsGoaqltIimzUpiyg+psQSgxj3fqBDbgstLSijSkKlmXHa8fLll7y7fcXXX/+e0+nE7d1B8G445qUJIDpx2T569gnX10/44ke/ZL265OnTZ1xuL7hceZzJlDyRpreQT2y2Pd5bxmWmtyvRQGvFtIzsDgfe3R4Y58ysvVA1mgtY3uv739sYxfWgeLz2dAQciRoLynZoZyXhLEtxbZo0w3vzYIiLKeGc59nTG9TtLX/36y+5uXyEv7hmPtyhhg5TKzGcML2Hhm1xzQVaneiFNRVVMyWK5lSVzDk8VjVN7koLXqco0VJXC+QWldpMLUU1rXVq4xwaiqpmaipCKSiiDa6pMmw6FJa73T21OIw1hLCgtWU9DFiTRfc3tYJhCZQuYLsVp+OeUjWbm8/Rrm/dPcvpeASlCMx4s2FUns3FM5Q2RKB2HVOOoimmFWPnG2n98HLQxpAlo2uLG0fSCbUxpByoKLJ+j40rpRnzaiIviaoXzGog14pucao5Z7Rbk+fKantDjpGbz37En7uev/6XrzgGzUW3Zj7scArCMnE4XhHYsN44vlh9zkmtccpxf7zn5dvvCMvHIzZfTydutmtOU+DV/hbvOqblJJpiDSnkpoV1pIf3/v4B1Q17pbQ4zc/CzKW81x3rFg4C8X2B3DTIToskI+ck3G7z3sQkYQ7t2aln124raM9mSdfcyllwQCbL9/jYSy8HXMmSCJUiRXUySqSSKRQiKRWSkmIolowtUqSqVLBDB6pB6XMih9oCaeR30fW9LCjGKAdtOWOxwBgnoRsN2RZyIlf5eUUB1rLk2Bz+UuhYbXjz5g1v3759KK7mufLIWq6vhEixP564cZ77/R3ffvV7xriwurxmDJW/+dtv2M+Jl6/uGVZbCK/pnGHIiZ3JvBwVtbukf/wp+7t7ptMeh0Mp8Wrc3Y88r0c+uYbnS+HRpegCTWe5ffmKfLzj088GlLF8fzfx0+c9aZyxN/8Jw+MfYctKGgQliIvcizdDyD0TxhuKLtweTlx3a7Te0K0DJVde3O243N4wZsVSAqflwPe/+Yb921tqrdzvT4DmcnOJUZqX9UhNmbdvdmhVKSGy8T2lCGXi8vKS4/FIKYaYC/s5EJsnYq5yvqhU6Kzi8XVP7xyOEWcqSiVimvHWoJYRVTVXSOdVJ425EA2vDNFkfdzsK6ksjNGws4kQR5JWlBLxg0frxLoc+eR6zWk/EscTGyu86yUvHNWCVTLFSllQVakqrtYbrFGyV+ciRmEtHG+rDYpMjomxJDnzojBfS428PjqRJUZN3zl8bxhMJceZmjIpIeNzOkxSDNoL2o42dteDmJZDxGSFKZYl7iWUQmnpjIZAUom+oe82mxVagR88p/0b/v2/eyPYLu055ZmYCl2/5nEqfLo2RJ+w7iBx0ik+hKIwZFQxZFfpBoPSlZAjyirSNqHVLcpo1IWTECClHooipTW6StPDmhYhvsokvWZZJjH76QBqT6xSCOYkpkFlDSt9S3Swt0GS4Zr5rksztpMGnK0dTxnx1w6sJ/stSVkiHeM4cQxf4u++hqXnomg6t+LudOT1aaaYgUVdULPGrRydCVR9iVlvUEWxGSwpWbx1OAubdYe7/AlZR97sJk53M5XIs81TrKlM01viaeKZ86wvB5yLdCqQ33yPziJHy9NMpeD6AZTBzBWdFElrrPFcVA+xMoumBYfH+57LyzUb9whnbskKQunQLrHaVHTVTDFRiyLMETdGJlOoVihcFN3MrQpTYTASOEZL3PPGoloS3jjOzHPAOJFMxdxM/TEzxUimsOq9NPPqx4vksxzP2vehYTlnlhTpjGYJgaCyBDb5TmQ7rVZJyz824x7vtYMP/6YdTqd5Yp7nh8PlYy8j9vkHgkJcTsR4YJ52TOOB4/7AOM7UorFaRqiVKJom26GdZnOxZb1dsVoNrNa+6dAU1husUoQxyi04y+LSWmNN137virWOSkuPmhJLgogIz7W2TZPEQwfy/PVgC70T96tFia5IaYo5f+uKKqIv0hqcbh3ZVoSKrCGxHgZevXrD69e3PHtyge4X0nSHcaJp67QltPjUTEUrRWnsWtM0wLWKvEP6li12FEVVEg+eSiE1hXUq8rv61sUXbaZoeHOpjWShW8qajJytruR2MdQawcY0jZLIP6xwDZOQBVIOBAxX/SDa2SbJqA39om2H8QP4FZ0TYoJJ8rmuzEC33j4YP6TjhUhy6gJn1m2VyxnwsNhqrY0soihZ8ueUVpScRbf7AV3kHMFbSxE9eK0CzNfSlS3NAqysdG9rKWQdBRPycJvVXD59ytXNU9K0Q9kevKdow1zgGCyhOoqu9Mphhi1zjmRVuTveksePr47vvn/Joy++wA6euj/hjWKqCaMd4tYXc9yZ530mEog+sNKAps3c06JuAVQVOYqikR/er16RajZdchU3vETcIkOJB0d8pcjI6L2BqG165+JTXPjNXq8l2tp8TB8OnFdYigXfOtlU9aAGTFGK20ghR9lMrRXtoiq1JeeBcq4tO+k0C/Gj6ZXPh7L6Y16z6CC11hK6ogtUoZSQC5XaErk0zlhZxK2FeGYiu7ZOY4zsdjs++/Rzbu/viDmxO5yE464tl9cbar/l3ZuXvHgzwuqCtyf4y59+wetvvyHHypPLnjFkQkmEUNjdnZjmhWWZWZuINbDZXlHGyBgL9+PMSosWuw4Woyq2SGKlcZ5SFUV1LIcjxznw6JMtpl9To9B6xIl+1rZaYp6pNbPEmaoUx2lmrSzzPBPbdGCJUiioDGs7kJbEbn/i25dHCvDmzR0Av/zJwGZYEaPmdDxyd7dnO3QiYVNnnJii66RAF0+AJqRMnoNw4unks86wlEyXIWWNLoqN7ySBUwmVx5mOHEW+V6iUsFB7J6ZNVdreJpfdlDMpWUo1ZGEGkKtoJVMuxMNReOoYTLfm/jBSDhN+PTDOMvGqaFAWpYSc0PsB6zRpmUkqkXNs+7GESRELMUpAg9Gazg1gPFUncvXQe6IquGqpFMYwsWTZm0uBkjVGe6qqaA8o0UAXVah2TVXyDKqipUlVe6iFvAjV5TiNrFY9pmrR0M/y3M91Yi6Rah3GWKq16NFibZGmCona9PjOL1hbpDupFNOyoGuhVtG4eiNaxKKCEBZMIeaEygptK6UqMY7XClaSbkuWtZZTprbY6LNeuqqC63xb02JcDUvCejkzFlWbZbC0RDjZi1YFnK/0vgMikRkdZkz1aAuu68nGYY1ipMNWhYuWU4XLYNj18MonUl14O9+RsmIXC/ZU0KNjI5FKHImECrYu2CpTJnLBVoXCMC9JGmIc2QyOx7bHZHkOh3XPuias1sTjHoPCO4vOI7lEcJWQFnJJhGJYtAJr6FodFGtuxKBGoukcVncoJU2lXKSba3tZ66kWqjaU3Dq5zsjUOrfAmiq1WAoRrRGcqtEYL1OB++OJuATmkgSXp5AJRU4YpcWHUYuEKdWzO+YHGiMfeFY+xBTG5huR8yhSFPg2DbZaos7PaNZ/yOtPokgupVD1+9jaUoRYQdt4Q0rc3d3Bs4+/seU4klLkfveWaT7w8uUL7sfXfP317zgcDozHozj8q2UcJXbaXl7h1hueP/8E7x2fPX/Eqlvx+OmWi/UFq41FmUImQsq8ff2W45vvSDFKwIXqyMUINzMGYonc3b/hN1/+ltO8MEeIuhBqxVMfipgPi2StNT/65IJnF2vMfAcFSjL4lWde5C9XW4vXGlXEDJPSTK2KYTBY48kpcTzuubx5yu27Pf/ub/4f/rv/4b9hc3XFq7ffMGg5QGxVzGYmV2FA51o4EOiN3MyJEg2ZVX0wHjwAx4s8xKkkfGex2hPjQkFMTxQx02il5XNBDslcTlKEWy/dZORxlwSqQowyat5ueuZ5lo4UUEsSdzKgrSJMM/e3d1w92pKA3W7H09W1kDGijHmvri5RJfP4kytijIzzgvVdA6VnMBnlLMsysfZiSHLGPgSAGKQQez/6biYk1TSxFWqWoJCqhcBQ89mUlykpkmsihiCQf6SYH09HtNZcXl4+FKI1FPrtmjffveLq8SOyAec6/uKf/xVf/eZXjLdfs7p6zP54x2LWnLgmumuMDgyxI3eGbBTDZg1WcX/3jhcfWRd/9+VvsWQePXrMxdWaFDLb3raDMEknuOuYY0A304bWbf190Cltx4fcwGvBOIXWCqMVWUl4gFAk3v8ZrSXNzpmmK0YKi4cx13nfU4JFel98ng1SLb7WGmhj11IrTB/vmoPINrIyLClhioD70R5jDIFAypU5LeQ8U2vF+15kC8OqjfkyvpmwjJEOuARCNENwC/Bwzj1gns7r5HzZUEoxDGv2h1HMdsgFd92vmecJ2ylmEsd5YimJDnj16hW/fH7Jzhisrbx584brJ4/JGvrLLbnAj3/xCwkTWQ18c3vk+7uR2VyyO1rU5gnf3i989rM/41f//v/ii2tDLJFiBw7zxNt3E10PzmeuHm3RFLrtmt3X36NspeaFxxfXJOUpbmCJI0/WF6zWm6YJNwybG8Lhd6zXl2wefYrqt6gsHSS5UDeDJYoUC8ZZwmlhWK8IMfPyzWtc32FqJjWs1/04kb8eGZLiX/3bf83/+tf/Oy/faC4ur+mHFbpEXr7b0ds9nzz7Ec4M1KJIsXKxHcg5k7NMGc8dpRhH8SEUxSnKzwrHgtYG6zq50IeCq4mL2vHueMKozOPrNd46DvNCSpp5Hum7HuMNeUxoZVHKtryqgrvsKKEy7xJvxh3KOGIxOOc4jAtKGdbrNYddi0HH0PlrcincnzK9uZD1QsV3K5xzqLmwjIFTLSw5op3CrUX2sV8ioKhJE4LDdxVnLFd+zT5FtEqUfI8rHcsYyLGTYt1pjOkxxpGrYMdinbBOY10lRKFCQGFrxPwew0iuCqMtS1ok2lhbklnAjrydZ9ZZw7Kglp5hGFhpRd9rUIllWTDKQhEySYqBsARq6VimiUFd4I3BIJK5fFwwzjF0K2qu6KVinUHXQshifO2bYTWngi4V19CIKUPKlZoVtSX4mdqJoTwccZ2jZkHzrfqemEYWk0ldRfWGUgunMWE0XGIoqmKUwWjDYoRSlHQR7KNTGC1x6up4C6kj50hkw1gmTM5slcFpzfPuO3783PIvfnFBwnEbPNU4Xn3/gqX+HvPqjufBsama2axIVLRNaBI+JDrl0KngqwG1Zj/OfHP4HU+7FTerC7beYb3l21e3DBc9f/GLP+P+7si71wdWKTO0HHXdKfbhyJwnjmXgaArWagbjxPhmNMZ3DLnQ2TVXV5eEU2AeJ2JKhCwkEm0j2SjGnBlLZEyBTQFrRTZUa8XkLEZLZ8njglG0/d+QlCJVOC0z0zLz3f0tp3nian3Z8Jsih0jjTK6l/ezUjIQ/3CD90IB6rqtSC3rp1yviceQ0jtwMGyFxIVP98o+Nk5zrmURbxTxUaFWJ4ng88uRxJZYfflPHNDJNJ97NrxnDiW+OX3McAy93R477kVLEzUuRwrsag+p6Li8f8dnNI4yzbIdrhs1aigYy2yhRmENnKPnA6fB3vN2feHK5EiOSt5jBo6zBs2flNH/34gWvXt8zz8Kh1KXglDgsK+A1LBmU66lx5vPrCy60R8XIo0eP0Dlja0FlTXEOsiLNMzkrvDVoo+mMdEc7Iwzg1WXPWlduVo5f/uJzvvnuBXEMXF5t6bpLVD6R+z1L9ljfwZKxSNxup6V7mkNGtTubqQvOWE5hQVCOA0uasTridKYukaRahG/VJCVaMas1RmmWMJJzfD+m1pqkirihjXRqddP9+s5Ri2xgne3EYZttw5BVeuc4HA5Eq/FmIC8Kt1Ush0I0a1JSDBo6b8Rh7xyJDpxHZ0k4ct5TivCbdUxYDac54ow8YtootGrQ89SSGWuSUBFrmVXGak1dAnGZKLpAi5FVCJFCUwnhQFJOukopEOcjNSVSHnHGM6x7hm4NVVNdZZyP2N4TpgPryy2Uic32iifPf8yXL78RpmTKLEGihr01zMmgzMzsJjQVW+DCr8n98tEiuRsG7u8mjJt5/HiFrhEdZlKyOFVROomTv2p0dhRjWmerdXXb5pVLlpFmSwFbMuSiqBhUyVAKpl9htLivc85ykHSV0AxiqkohbHRqxYFMEwoKJWhPcXxbqF60bLYq6b43HbLWGtt/HN1zzO37K6i2Y8ajDOihdRdHOVxN0TJB0ZbTOLHpVtLxX2RD7nxPCIElyaVRaU3WCElE99S6YKwj54jvu9ZdTsK4VnIYjEl0hFhFihMlJ3q3wi2WmBc6BVPI2KxIXc8pZKKx1NUApz1dTpiQ8es1q+2GPCcxU6pIZ3tuNj2Pr3r24y3LfWBKsH9x4NPPn2MurlhyxvdwHUbWK4VZAr2DZ09umEMi1A6/+pyq7ukGQzd0hKlw0oWVGvGbFautRXWZVAxdZ6jpK+5K5dp1uLynpjV6e4WJBaqDzlCNhizRzjEq1nbDNFf0xSP2X39LVyrH3RHdOeg6tklTdOTdy3f823/zH/nmtxAHxYDl9dtbnl1fMPiObad48c3vySGirBHpT1dJ8UicI4cUeTkd6VcdV5eGEBJ3t3tWzjAXoTQkKkUZTKkc3x3kgmzXDMNAzIHXb054b/FOis/N5gJKJceFoiWkwhnpsscYOJ2OqGIYlKL3hrkkvNOENOOcxOTe7+5AV4zrWHU967VH50y4PzFFicytFVKYcTVzIqKiTNZcQ1hNO7kAeOtE850jkEmNwh/igc4KPg7tSclQa8cSLakqzKLRg8j3ljRTWASLGsVv4NRAoSPGTFRtqodhyYuYVbHCgR4XOtvRq8omBwKV6D33eWFaIqSezXog5RMlJMY0UM4JnMqy1gPLXFDZsxv3on81mhwjvYPIiXEKGOPEz4FC2w6lMkZXrI6kMENsEqwiHXCcBK9sVnK5leTciYIla4mU11pjup7jvJDQxFpRRmGUTHn6QTVkYkZZaZZkMuvmIxCKjWauPbpIuMhm0+O1powjIws94i8pVpNTws4WjGdMwnHu9QLM/PTxZySteXVaeOIqF3Ghy/dENKfYgekZj5pjqlxufkKuliXv5cyZP+PVOPMrHJ/ZFT/TPdvVif1+5Oqzn3H1045f/cu/5pPNCn9huFsiPo343KHjmmIVcVbECHVYkZH0xyUEjrHS9R3WrRjzGwodSk04Hzm+NVz+5JJuzgyLYZ0GdICSZtJRs3KSAlpMIRqDUoHkZO9XymCtQyXIJTHFzLQkUsjorNlg0VFREIpQymCNwXbgqkgdY/p4J3nOUnvkLMAG33lSSvQYShUus0uZnzx9xrKIRE4Zg8lCZfmHvv4kiuSSKzEhUaVn7BKSWb8sy0NE6Q+9vv3ut5zGA6/efc/uuOPL3/+WcMjsdxMyEZCBVUyg1ytWm0u++Nkv+fT5Z/zZj76QMZ0qhBypy0jJhttwkpHDpFHpSDnuWfkO5zoqipAyaZ5BJS5uer766nf8q3/9v/HydhZj2nsvIiAT46SakDwFPHDTWzo3Y608TNqArpJoZ60FI0EYOSayKY00UCk50VGx1kAV81EIgf+fuXf7lSw907x+33GtFRH7nJl1Prhdttt2F930CRoJWmiQpq8QAxIIhIT4txBzAdwhobmCCxhGoxEjkKaPck/b7W63XeV0VWVW5t47dkSsw3fk4v0istyT1vjSSyrJKlfm3rFire97v/d9nt/jnObsbM3Tzz/j4vJbJAzK9LjVOTlkdKcxNZFjoFaNto6qBKFnMK2T+OqROHJxvRaEWNVaNEbt9HZ+cc12u0UpxXq95sh6LaXgnBhRUkrCvay6BbbU08mvlEBOhZIztSq81mRvedjvkI9mTh28ZZEozE3X4VwkqYqzWrqQykiB5hxWtQ60lnjQE3YqJVQr/lAFqyVtSxeFM7p1PmcZ36jG9S1NWpIztemdjuYsOccJRk8j8aohHQjLRJgXlsMOVTPLvJNF2iquLh/jvSdPLb42CRTf+UE24dUZ73zwEX/953/M7sUdeXY8ff6Sfbgkm4hyiZoTw7DGuIpxEjYyrFf88DXvxe3tHfpcsZtGxvnAo+sbNps14yGSapIAGU0zVsqo66jPVkDOr4xpJTeGqZJnMiqFbSgvtBbqw98bf9UqIQZHY6AqFWeO32m7j7VQrRy6umbYS9NEqgXle9TPoZ0U4+H1nWRlhWOtS6G2Z7a0CYBSmq7r8MaTlkl00u1n5VrENBojNQRc5zHOoo0Dioxsc5NLVCkiRJZzBDmCdh6UJlc58MecMEZSpFZqJV0SZTnkiaTBWIc/WxOnkYeXBzbDgc35BfuHHdcBnj+/ZXOxIdbCbho5W11wu3/g8c0Fu/0B69f8xnd/nciP0KvA7cNCrJYf/d1Tfvv3/pA//7//CcMgTYDHmw03jwqUzDQmbvr3eOu99/l894x3r0zTalfulkJWFmUtl6oQ1oFki6T2KcXFxSO2deby5i0251cMl1eYrqVfVukgYcTkGqq8z6rv0Fbx3gcf8sndnodnTwlRpglnw4p52WOU529/9GM++ek9tusoZuD+IXBzdc7H3/km710Y7m+fMS0zKURqkKTOnCvD2RqnEzlkVv3A2WZN3u/YDB0X/SP2YzM92Y45LNyOEzFXQpHu1i5PbIYrvFsx7u84xEg/DChr2wkuQ4FpDiwxoFTEUMklssxZsJxRsWr68tt5FgNUL+v50CRbgUrRGuU6jKnYVeZhecD6nlphmotQhmrFWoXOEFNsSDGF0xbT9RLskCtKaaYwEYA4V3RJPL66ZJomnBHNslEKSpUO7G6Ldoaudxhr8b3gK7Vpsj2dUDpx2IsMyjrIZaZGjVWK2Dp7sRqc8VQdCFhigWWpHEJhZmaTFZ2B2PjguXHEU5Z3pO9W4A3zYS8GKyO89K7ryEEjfmfxO9QCnVlwVtN1om3VyjA3mZfNYtTKCKJ0CQvee1br7uQbqFnkAaYorPN0qw5iIMyBWkG3yY9CDNqKVzi8Wit911OrTAqNUnitGIzBA/vtLboWLtcrrrruFKyhVJFprNWgC9rI75caAzMtn1NS5boYLowj1sKH1xaUg35DNZaXd3u+jNC5LzF5Yl/u6WqkX9YsasNfv8j862cv+M6bPf/Br72Dvr/jL77/fbSBiz7g15YPyhvkXFhevmB/+xLXe/qXmcdWJKYr7bBZscwSS51zwbkOZ6HEQoyZaZqZ50i/2nB1fY6zgrdcUpTDyGHP1WoAA1VJ5DrOSKMTQegVpFmotcJ7f6oTJFRMMS8B4wq28ye5xxiWZrarPGz3DMPriUY3ZzKdPRwOp/3U5MocIv0gqgPv/Wk/Ms2wS31ltv5lrl+JIrk2XiBIcgtVtLAF0UeFEJiXBXg9K/lh94Ldbsft7S3b/ZZxnNHJYrVGU6HappWR9Kfz80uur664PD/nydUbOGfINbCfdxwOW6AyxoAplSkXdDhQY0A33Y4yVigOurJaDWwfdnz2/AVjkEIiNwd/aR9OI4a3qpACrUJv4dwr1r1CQoqESUiVUfbxnGO15MueRvVfoTAci5KcI8syoQ0Mq56nT5+y2Wy4PL8gzDtKXcAuGN8COpDiTibbVYwOSZjO2kgalQQ5VcGvKCSmpcjDb7RuD3lLMdPCxM05IXgxYTpLJHDr2HJEi3HSpdYkjm1TObnLq236WKta91Kf3KkxxsbRlXjgqiShxxjRRZEL1dT2OwlasNTSDliFo/5fKytaWWhdRXBN5mPMUWKS2r0WrZVuutzU5BXC6DASrtLIHsYYYoykFEVPPY04I6zHZZmY51FSuMyanAsmFVgSyxLp0FSVscPA5c0bfHZ7T0iGMTe2boGsEirPFN2J0RVhtPar4bXvxeEwcbEqaBTbhz1d17G+fkSqSTrAyGcX1IKSpL8jcqJCjke6hHBhK690YEfKxzFBUn3FU3AyWpy0yPWonpeCtxwDgyoGxaLBVgVGfgdVRK351Wf+uMgdJx5//5KxXCbXTM5VEiFrC2EwtulVFVpLGl+qcjgjZTFWatE2ViX3NMTUJFoiQykp/5xk6ud+thYyRqGcmOKSpqawzfwICCA/ZopSmM6ho6HrNPMUSEWhrcNZy7qzxLSwubrksESMd+jFYHpPXma8MWyGnkdX5xzKgbvdnnU/8Nd/8zmbs8f84T/8T3n69Ck//fHfsSyV3d0dfj3Q+wt+/du/ycXlFX/2L/6MomYqkEplTBUdK5viscqyWa1Z9SIb0rWQ58I4J7RfkQQIzFf5vTS6RVGcDhGhUX/6Yc3F4ze4/+IztLakWhjHmTzvefl84bPPXzBGTbadEHnCzHtvfsDbT66p8b6lg9X2Y1STfxViKuQo77eucL7e8GV6TlwyFospGVMNVUMsEVMlXCBXTSpQdWU3TfTFNoKNphoLyrRnVZMqdMNKwo6yaENLqc1nAs5UBmexFUZfKUUOjEoZ/KrDOcf+sKPkzMO4oCrsp8TmfENOIvuiSRt0yVhz3NRBOPPC5w4Pe+kwW0tVGlUtur0vISWJEy/6lIRXW3G95ILtJFWy1IrKWfZbCiAHVuflnYpjppCoRqRlpWZ0VaScJcktNLZxmkXbXzQpNfN3Z1uHLpMzFN3oMUgwBylS9CLvr1aUZtAyWrdDtG3a2FfvWWrBPsBpLXBekliNlr0qF/HVeC98dX2UaIaMMu5EMlFavDFrv5IDdXtupYMsB+/j3nJiBZe2d2mFNZqV9qyb9EuVjpoTzlnWvSOE3AgLCaUiTndgKtrkk05dKcWsZJ0S1rMlm8wcZb/ovKHr16xvOtbjQtTCrj/4BbMccGph0gMvWDMlzye3ha+9WZno6MZIyQud1ijnuewMpnS8mF8w18iwuuRsB04vDVEK2WrxzDSSkGn2j6OszFqPNS0NuX4lVKY1PmRPDs0fZUhFvBi50X8yVSKpnXw3xuqTdlhY6pXadMimfUW1mFsAACAASURBVB/eO+Ywt/AtR44RM7y+oNVHozcyVTjSK4610bFOEmzrL26y/tuuX40iudRmphM3vKr1ZHSrLQY25NcbdgCePX/K7e09P/3Zc/bTzLwU7LSIAQ4tG5fW0A3cPHqLx2+8xZs3b3B1doWz4Jxh5TcYq1mWiZQSaZG0mKIiNQVWXY+KVbRWpgMyQ2/ZDJY//eEn/Osf/pgvXoqOuJw2UdX0rBLjW4uilszZYHi0sdysRcejlRSZWhuMF2lIiEE6stbSW8dS1KmLpZRitV7LCTwL8uX+/haobM48X3y240//7C/4h3/0D7DDwLwzLNt7qpvRNaOrJicojZLRrzqmwyxj9WqgFnornTSTI0ZVihZ9lq5gtcV1PfMsJg4J+5AQFWdXlAIpFYyRzQSNvAxi/JcYZvniZeF3jnkKJ4fq6cSnWwew3ZN5njHGMAwDyomxDW3QxlKLIsaM1oKoc96QiyWlCOrYuW4TiqMGvsIxJKPoKgcSpdDGoq0R1mYuctBqJrxSknQoAW2KuPuVlXSreWQcR3FDG8+Y9nz52WeyaC8VVMeqVDF4pkTf9/joJbVIVVRcyKXjN37/3yfmwv/+L/8/npWOQ9aUmIWmQUeYYwulkI6F/QXMx/mQeOG2nF2cM99v2e/3xCXx5PoS7S1hfxDUoK1EDSrK+K02UonRkpCoihSzx889uFfd+tLuX99Mj0eum4AuBIVmtIxHK5CTUDCM3NW24Sc5ELXDpfJGJC7RUMtRHy6hDMfOwN+/Yg5CjDDtYBxGilEo6+W7ql3T+BsxyXpDNRaTROZljMZ616gXmaQNuWYhCpRKjBnnZaR73CyOKEaUozoDKqGMokOi6WWi4lBJkVJlGAa0jsRUMEa8ArVbcZj23O8Wrm+ecPjyBddnK37wF3/Od/+j/5DeWubDiLcdRTlsP9A5RYyVb379ffr1LdsvnzHO93znmx9xt9/yT//53/Lhhx/yn/3X/w1WaW7vnmPWZ7z73of8T//L/8bd3R1f/+gtfvJ3e955/FgQbWEElem0k02lBEE9FSnkXjyfeP/j3+X9b/4WyV9KeJLROO1PhIKcJWxFeY/WhZQhasWjt99n2mce/uRPYE44o7n92ReUjULrDQd7xc/mZ6yvB85WmQvX8+/9u19jcJnPf7aTksI70asXMfWGWNnvFtI8SeG5faAukTcfXXP37AWmakynWEJiGgWNNVhHpyzBVMgQiDzsE/Ps0EhoRe8rwbQJSSlChGhyoVI1xnm8tVQDlILdT+T7iTIHeuvIVaG1B+vIFR4OM1l5CYaYpMOu3Ya8P9D1Kzqr0TrJFMIILkupKo0RlUgYUpW1ylU4HEbistB1Dj10knhpOrahgPI4peh7mcC43jcjdouGzwnvXPO1lOY9EdqB7ir+PFOKJ+VAiQlVFdvpQKwwV9Gaqwpr68hZS0CVUVQSo5KkSFdmVM4457Fe4t5V4+bHLJM6wY3KAUQbS0VjtKUo4ep6P6DbYanm8nO4rmo0BSTluRS0019pFuUTPccYQ2pTomMYVcwFZYUOZZXkEIScJAqco1dGU4oUvLFU8dLUTNUGVGGaHnBKc33Wo/VAKpnl8HBqqkhBrSDF5rcoEsJiV2ht2AcoWuH9QMHglEKFkRQLy7InxZk5RM6cYr+PmG7gd997C/Qly/TA3RR440VlqhtePM9876/+hs35GY/eeYdxCRTT4+0Gd5EJU2I6LMQ0oUPh62dnfLG9Z6mZnPcc5kRYFmoS7F7vDVbLlDilRFgKKVUuNx3Xj85QNRPSQlIZrcHWSj3sZY20SJCJ1mQknEgnmdhlKiUEHPY0EZZnVFOyQVVpgCkFfe+FpKItZ2tBL87T/rVr/rTI81SaVBet0FqmtMMwUGtltVqxLIsQlo7G3tbQ+mWvX5Ei+WjoOVq7FE4rckmM48h+v2eJvxjZ8YMf/IDDYeFhl4ihgOkodUEbYaPSdbh+xXtvvsv148dcXFzQOYH97+ctalEUBMG0P0ixt7/bY2xic6kxuaL9wGWnJe5QSSRtKRlF4nt/+Zf83aefkYEQOaXLcPw0rWh21RDIrAcvSUldwaseVQqqSiy3BNbLf6+1Fl1kG02LI9/ivT+dsI0xzMuBPBaS8/h+xR/8wR/wwx/9Lf/vv/pTfvPjb4Pf0K81VWdwjlClg7TkURYWbUVwb6xwklF01lCrhiRonc5anBaKg1KKnGQxOzJjj5QKpRRDv8I6c5I7GO8as7acOnNaa+YwQs6Ekllal9gYgy6ZcRypWgricRwZ/OrUUbTWUjsxfewOE+d2YNMJoD6VRTYiIwterS0JyUApR56idFpUK5TTcUTW8FXUgtGGVCLLNKFL4XC3ZZ5HfC/Z8xSFdsfOgSYXR4kVowdyDEzjnpwUm+FcRs845pCpY8R4OfilGjGzYpr3bPYbPnz3HaZ5ZP32m3z949/gJ3cv2JtH0Bl0teRUmadIdRI2kVJp9IfX66uG1TkP93c8bO9464P3mEPii2fP6L3izK8pOYqednDs9wu2lpOUplDxdmijuNzGVGJ4yOZo6jQyISlCIjmOKrU5dv+FoXp8llWtrzpJmWbgKpJk1brVuRSybVOfr3QDQDbFOT289rO2YYH8vjHhlcUipsuqtHzftbLarGE2LFGMqKkkOtedjInLstD1PWjNsF5Rlsg4Co7MOffqvTSGrmumwKjQiIPbVEHixSUQIw1hpMipsOwPOCcHmlzEG7AsC852/Omf/QX/zre/ibdi/ImHB3YvX6KHM6zqsChM33MxeA7be3pvGB8OXK06fvOjD/nJ02c83d6hq+XX3n6Dw/Yl/+M//scob1lU4cZc8dMvPmN1BssEZyXywfUH+MERc8Q4zcYU3r2+ZrU27B5eMDGxefQG4ZApCb75rd9gP4tef9W+R/E29OQmiaq5YLVQQowuRJ1Zrc/46Fu/wdO//is+/fN/JRuk0fw07ZkPiR8/e+D6ww958v57dPNP+fDdG5wdebi7pe97vvjyi1a4N4kTihiLkA2UQVXFxeaMzz79hJISQ78mLYniDJ3rqSFT5oWYErVG1BKoubK6XPNw/8BcZlZuoOs6Xm53dM6yWa3aZu3ouzN5X8PEbrcXHKVXmFJYa+hWPWjLVAsxZEKt9N2A8h7GPbZzgObliy3TInKpWYMLGaUK1YGyBr1kUonClFeCQJuWJu9RihAWeucZ1mt5T2ti2h5Yr9ekmIlx4vJ8g+kkJng3zYQSKCFxsV7x5PycskQKEvs+jVECgYwBNKYuVBTzFFiWZspSA0sKTC0ptbeeaZ9w645NP6BNJYWZL+/3OK257AR4IBPcJGtDWBr68mi209KpTulEtynhgVpEBtE5LVg5K6P5sOTT3pJKQh8nj0rheo924hExxpwwYNYajBWyhexpBdc7+r6XnwvorDFUdP55OsKSmn7VGqyBznq0FdnOdBhRaNJ8kPfYGFZdR0qGXOJpYq2sdGAlN1ML+aFU3hoMynbgHWOUwq2sK1p1zEmjlcPYnkP2rHY7brcPvPjkx1xcXNCvHvPBJvPRekaZkfFrl/zwZwtLmTmfviDvHshVkcsFn1iYUubBgMZyw8Cjw47y+IJ9zdwsB9IcmcaFGBM1Jbre0XeOabptDSch9YQwM8/7ZpILpBLJJaHigjbghLTAOAVSCSxqwa16UIrazPCd91zfXHF9fcXnn38uco1ScW7AasXQtwNwjq0pVrm/e2BYdaw3r5+UVifkjVoSMeRTvXGsE+RZiOx2O9brs9NUuup6qp9+metXokh+FdSsW/9YxpZKKcocWLZb0u4F8NZr//SL7cQSE8paOm1J00JtJxqMwQ7nrDfn9O4JQxnwwVBKYhdnyqKoOZ04fYuBh3mmHzQbbbAmY73CVs9D2LLJHXbRuJoJ4477KfNwf4Aqm41qJjAArY6fp+kflcIBa5U4s5bV4LEeGWscZQVhpip/GuFnVVFO46t0kAVWk7EOtJYRZ5gUNltc16GS4m73nH6wfP+H3+fy+oxvfutrpByJ0bcZUqDvLWU/E0phjAFvZTRllkVedG3xzhFqYZpnVOeo1JawJx1EqwqZAhVCLlQN3QqWsUCRDcyojAdCDBLf6h0hJ1JOqM5Qc8Fo6KoSvejQ44w7MUlNUZyZDb21OG2o9ZxqInUWIkRnPTnKi+z7DquFPCC8I0Qig8JqJ2EQIsMlptjMMIoSpVOZOzHHFC2LtM6JXhkyEGtmQeKwlTW8fDlhqVyt18xxYVhrUlHswkxYJioJ3SnuSmIzrCneoZynKiMJgBgxg1EoeaGmC571lm7wrB86rq6u+XRbuGfhydsjdc64bk1RgZy8GAitojGuXnttvCflFXFZeHi54/LykiXDi+cvKdeVq7MVcaqYsdJH2yLIlWjjUcR5ISuJU1ZKswoVisLorhXGNHmLIjUZhG3M1SNXONcF51wzHIGtSFdZybgblTGTJG5GlMhQrKAVixLNocyDDKYYDof5tZ+16wZJP5ujzEh7J0ayasixUFVAWcWZHlDKSvdjPfAyfklSSUyCUTrg4zLje4+10iW1ToNR5KRxricsCxSDEyU/wYq0p9cerRXjEnF+QJvcRn0FZyq2O6fqxOANpjOoqdJtVngL98+3/Oynt3z7m+/y7Iu/5XLTsf3JZ3zr49/kk/steIvd9uizFX4jB8arQTM8JD7/InDz6IKH6ZYhJnZFE1Th/V/7iKrA9IrD/Z5vnr/P/HLLo7cfYS7P6M43zNt7Pvnxp/z+d7/FxmVWl56NHkljYXN2zVQ1VcPNu98mDj2pwrnThDhj3EqmMZKTg86JohWpOhltr8AUw1gTvc289c4H/Mk/++eoqlDM5KKBFf7qhg+/+2tcdob60PFb3/g649O/oTMdX25nTDGsvCPHwiHs6AdNVhVMxzyOog02ldI7mEb6TqG7nt3DKF17DatBYbMnK8M9MIWIr4XLQYqvbugoVQlbNSf61SDSqLTnZdijlKFiWIzHaI9RimwK9+GA15akFQ/3O9Hxe8OSFsZplOlX9lCd+EO6wFJmonKYJaIVDE6jYsT4jmkOOOtBa2I+kl6UHEiMYs4zYQn07pyMZpcn4jhBHjkEg/KV/bildxqvK53rQDtS1oxRpnixZDCOFAp5jjgrReh1f4VSFTM4YnjJHAKJjlg1pWgUjmXJzFljDnv0vOP6+hrle3TdUUriEB3WaUwp1ENtNJieqiqH8QBkwhwwncb1nhQj7zx+zKZXlCWS5kmkcirgOjmkb8cdw2qNs45iZKq3GRy6FGLaorXDdRtCGBmURntNnA/kOZG0x/m+yeYSS05gnSDlqiBhc4koKjnK5NC0aWnRogs3ru29ObBiIBmgW8l3XapIooxDKSdpv0thWK0aLrSiDFQdiQRc15HzjErSiFJKYasBU1i1SZbziT4uqDzTDx3TaKFEfNyK2XoI5FpZ95lvvVlZQqLWO5xauF0S95/f0W06irGUJB3xR29b6viEi2ef42Ik8z53JXJ9nnm6D3TaEK1itpZFnbGYF+zSQDaWUPbU+ga3Lw4sKZBvD7jJEpUhK0HvpmXC9I6gYBMHUpAD0GYYoFYOYeZr1xe4GlnpSlmf49yG3f4l1hmcMyxLwlgjPGnnyFkmx8v8CzY4lahIaEhVRmo94+nqgXF/wBsJRumUQ6OJIeE3HmUU/IJQqtddvxJFslZKAPG1UJQAgmsjXoQQ2O8f+OSTn8DvfPzaP9/lQoqQioy+MxpVNNp4jO154+yGy7NLLq86rq/WYBTP7l5SjWd8LtG7OQZ0hc5aNLBe9Wx6z9XFmkpk/3BA1xXOdYRlJMeJuBR+/KMf8+XzLZM8EyhkTPu6K9eEAy43HRernhVKUteaXvnY5ewG19BTldxYwlonjLVYa3BORly5gEKzWq0wruNhmrDWMywHrs9WfOODD/jkb37Mr737Id3ZFbvtPTVrNqs14bAHKp21WG/JMaFipipk9G0NqUgcsXEWrTQxRVJt3WzrWtFaUcZSYvoKjkU6ts7aVuznUwfYWNEkSkyzFCVGaTSGVbfiEANTjGhnZeGxDjAsOUj8ZUjCyOxWaOvQVoxW4ziyHw9cnJ2LLOUYRNG0rLWq5tzmFApx1HeXpn2Tw4Fp5sJmJuwHdM5cXF2zyecAKF1ZbyIlRJ49/5SH3ZZ+3fPGk7copT0bYQQKN/2FoMFy4v75UzQSx5riwjyPdF7Gn2Xacni4Z31+wRgyb77zPv/tf//f8T/8z/8HyxQwriccZrnnumlBZc4tvNDXXE/efIv4vDCqymF/T84LZ+drSvQc4kIq15yvBpYqp3C5Vwqte1BFpitFut5VKTwWYzTJIUZTJZ34WitetfumZPSVgJJFD51VlaOKEuKIagubanKkauqJg34cm6oixiP5TpSsCQpW7vVLVtc5TCzk1skuNG2mkdAginR2jkzdqoW9etQ6zpMYZIfNhv7ikq4T/0NKBW09VkPKhpBCYxprUilY73GtcyHSJ4mlH/rV6dmTv0eCZrRzLMuE8x0Dmuvra+63L1ivPZ9+9jm//3vfINY3UHnk08++4Hvf+x5XH7zP/d091vqT9nJeZuZl4nzY8NH771BxnK/PedhP/GS7Y1KFad4SYmYoa7xJxLhwdt4RysjVcAll4e333uX5l19gXOTjj7+BnV9gZ0N3cUPvLZ8+/QzXD/zef/LbFOPJIeE0VN3e4aOyzGiJDi+K1WolRV6KqJzQJZEOMx99+1t8+NE3KMuW82FDDpldTdx88wNinVCHwHc/eoKtO5a8vJpMDQPGLkzTwn2ULuXK9xilODvbMAUZ4Rql8OuedAjoZtiOMUvgDaUhKitnK8/KO4a+R/dtBFwyRltC+x7vd3usAuLENhihuRTFtBSMiazPpPAqMbJZO1RnOL++5HA4sOREN1i6szXT4pmjcLZtkfXFKE0MBeMMnXd0VoKI5jQz58I0LrK2K82ZrRJjrj2rvjv5JcbdllgVxvbsl4n1aoP3jqgM+/lA0j1vXl3hdWGZdswpcvtwh9EwDI+FnDGJrtsA1ioIW5nkGaEwzXNkV8TcmmrjDi8B061Y0kReElO6l7VVGVSu7OOCnireWml0FEGOGa2wysuzO1ZUgkss3oOp4oe5vrqghJ7dbkchE9uYvdMWoiDeVqsNRWeMk78rhwNLyczzIl4ZJ8FIExVjDXOQVLvzrsOrwgynyZtIMBaykmLYauH6eyuyqlzNz02y4IjCrJQUWjNAQsFKka5517smg4xUrel7h3aWqhtaNCZ815+mc9Za0hJaynA5GQVVLVgxZ1FsoWaoRjUST6WkREgPcuAugZVVXJ5FLnkQWV08oxZHVzLzPDP/+Dk3q2s+fveGoi33fsQshU/Xl3j9HF8OvLOxXKqZn+53ODJq3KFC5Obcc2YV4+GBeRlJRehGRq8pLLK3KwWx4AFdKzllilaEmsVAqhWmJSHrkum1QxNZr2QCHJdFZCrAOM947+mHgVyEUPW6a9Br+R9qwphCRszoUUuScgyzyI6GXuQ3WfayIxnql71+JYpkhcIqCOKWoMo2etL+xRjZPtz9wj8/GEcyCzEjxjRtT51Mq0TT2xmLqpFYQoOdCz1jPwtGJMUJVSpDragKb/Zv0nuHM6otWJXSxkTTYcs0PlDSxPb+IFocsTL93Av1ustY6DtLZzQ2C4rm1YjA4L1vxqHYDFJHB650RJw1WCNBBUfKgvOdIINGcXmqnNA58+T6moe7B549/YI33n2CXZ1xWBaq0SReSTqs1kSVKKqiWpH4VeattfYUQ02tp3jJI2tQqSrZGErQK6/MhYKBQ/38OOvEIk75FK+d5ZfBZoMmNrOFGD+MylT9ylChlIKmZSuIdEIbjSqpxQ1LvPGxSP77AS6v4qfrqWCW+FywulIQUoIBlLaoqnC+x1XpDOaUmikwAAGFOKZj2DAdtoR5IYWZGCO9E13VsPbEeUIDhwf5+SkupK5pv5vBMKbCIWvOr57w8cff5fL8X3JIpQH1wfavXtnj9/GLfLqb9Tnr/lZ0/fNICjM5WIp3HJaFZy9voV6RT/epvjKZ8YpPqdv/f4zv1obmCDfoalAVXK1ULc9CpjYZRhKT6M+ZTuX7US3oQyklhjl9fM4N9SsF89ESKIebzHn/evOu6I7FAKiVJrWCXNO00GS0cm1zMij16vuf59DkRO6k8xcus/zO2pp2RwwhlJM+thYxrdQYGwtatcOhP5lNX5lgLDWpZnJtcfNOo9TM2dkZ2zEyh8DL7ZbN5pwX9SCaTmDVC50hx8R8GDm7PKNznpQjKQS8lc37bDB0bs3SKcbDwm5fmOaE7QTjtVTpWo3TQo4zyxSF4Tz0vPnoknWvqTGzOVsTxgMxRoztWW0u0H1PPjYvcmwYRJrkounVoxaD5lGbrkQjaAAz9NTLKx6/8xbLg+dy0Dz9u5/w3ptvg3N88vwTfM08ub4hzMKYri1UwlvDMgXIqRmzDM4O5Jyw1pwSWXNMqNSke0rR9x1Vw5IqIUixmIq4+wXrE5pRtJLTTFaaUAshZowtKGewrictihAiuVYOS5Inqhm4Yiwo13iu2tCt1xCzdCobKrTIWVbYx81kZNo6lHNmLpmaEzhDN/SUgkh4tMXqmVpfaW5Tw6rFGIlVEbVEgceqRX/vDKEAS+Ruv7DxTW6gKk5rtNX4wbef7aiLBFlh4DBLw6jrOqqyzWsBMRfmkqAUCoU8BZw3aG9IVRNCYj04iqpi3qKglGW17uX5L4nSjOxVWWwvjadUKqok9vs9+32AkFoQS6ZqJebohhBLsRJL4mgWD7q9n8qJh0Qf5Viyd/jVQFgWXOfpfUfnPWF3j1515CoovVKKTBpraYE48n76zjYZ1atm13H/KlakYbVpvWVKKftNKcIUjiXSNVSlcw6MFu9KrSdPRQjhlYxMgaKQS6SkSkJklk4VrDLY3lNKJVRFKUJyqtqISTRm5iVQdnfUmtn4itsoCf2ymnOniN5TlogNd/QMoDpC2nFeK4/IPLEHDCO9itQstCutRd6Xc8X2K3A9xk4ogzSSiqz9VQnZpZZm2q3gvBffQMmntdSbQk6RMI3kOYmsMSM8bLGJYI0lpYB2hljSae18tHn02jXf6Y5axaSbEflrLVk6+uWVtJPWoIvt3am1oOsv2jX/zetXoki2WrGxjilmDg1efbyUgpwT2+3LX/jntWkPThUeMcrj+4FiLcV7djkRxwNnBu7DhO0c2njiIoinJQWKingtWkJdMpuvvcnlypPigVIivfOEovFWU8LE/LDlp598wstdJUWZeJeiMVqMb6+71gauVoaLwWAJiPtDtKW0jbOzr5Algt46ptiIg9Q1JiGNF6C1xntP1/fSwUFTUmUfHri6vuHjj7/FX/3lj9gf7vjGt79NzIoQZ+x5S4rKiZpkXKR1RhsnTu4i4Q1Ka7q+J8WId04MIKWSloAwODS1tHGrVlTjKcrI2LzltMvvz+kBPSLgyNJJ9l0v2rN5QVthhNYiDFFSxvaWs4sN682GKSZicWzOLwHZGErTu5bmuFVKMErH+3jcjI7XUbP01QS1ox41ZkOnxeylqmKMRegW2uOMwml5Aee4o5SMt7DqNA8Pt3z5eeX+fiupTREOuxGdDxSjcGsPMWBzZt6PdF1HSBFlNMYoNptAdhMPu4n7/cyzzx/4R//Ff84f/dF/zP/6T/6ZbFp6kKSs6oHcHMfl58gSX7269QVPbt5l1T2QQmKa99y9fGBZIuv1mjiJ4UiHjLeV3MxmtK5vLdIpXrnuZH7JJaOidLSV6k6GvFRkCnEyNWqFtV5S93LmiKVcmglJKXmOoGI7S6wFZ50gp2JLGWuHqlgyOWViKrz3+Py1n7WOEzqJKay0jSuVgjPCds4pi1NbC6as7yUO1VpLSBllvPwu1qMwjPuJwQtFxHay2cclEHNiSRrvLSiYw0KNkkOZlOAY+9WGnOZT6IhMw/asugtA0p6OpBDjNO++9z4/WjLD+pI/+8vv81u//S3683PK81vCNHL37BnnV5fs54Xty1t2D/dorbl5fING8d7jx6LxTolUCmfJEmOhZs84yma83UsoSExS6BWjmefKz37wPS7P19x+9reod1b0RrOMI8Zabu+3HDJ88O7XuZ933OgzutVAroquH+ReakV2mlo1JhdULpQaUMqj+w5XFa4oIFFC5uvf/TZxe8f2859w1nU8Orc8v33Gd94/58JUHneWn764xfZnZDMQ4j1pWUhhopbCemWwugIzVncYFP1mze6wh1IxSmOd0Ej6TuO8Zz+KxGWz6olZMU5B9P3zhHGK1SDj2FIVyzRRY+XlwyjPS45gz1HG4q1FN5PsIcyy1paemQ3OmBYjnQgFjDLEKBt9VoZaMylHKZBNh8MRwky1kjCmjMKUSt+K5FoWUloYUzMyo4mzbPJaa5R1DX2WWK9XKKOIaSEumcMSyKpnTJndOHM2eJwxGDJGOx6ml/J+mwSdGF6VrqTm2SipghvwpsPNgTmNzHFpxeeGXnlCnMilEpYMGA6pHWCa2ddoSBJuJn+/oJ6EAuRAaUPRCaylOMM8G+Ltnt55fO9QKNZOKEZOaVIVKsw0LfjBs18CdcmcrwcG60g10fdOut7NeLf2K4mZRsz53eWKQ65tX6tYp3HaYVpjKDSSViyNrYw5dXyPzZyjDt97TckV3f7bYbWSwjqnZiCMVCUpj6q0tMMiLGClFKu2puSYKEZaAZoKWuohcqKvqaE5CwuJzkbJEqgKZQyHujBGRdWOKSTG/YGSF+K8cH2RMd7gnWBSXS/BMIfbpxjXMfQremN552Lmd75e+Nl2YgqfET6Hsn+BrR2DErnd6vKS9ZMb8pdPmcYoTRWjschhryrxl4SYydZiO0suSfaPZsi+uLhAa8P9QyAtmaI1KR0w3rBa9Zw1QtOYgkircmY3jfLvHravXfPHadfKnHei3gAAIABJREFUCDmkaisNFBUqoRac8ycKx5FcojTULJ3uX/b6lSiSQfim6u81YetR11giIb5eiwjCIEwa6W5UgzOdLGbWgncsiPu9jg6nLV5nejKmVnQCiiJqBSnjlLD6ztdrrFGCpWn65lIypYp+SdXK/uHAfq+F2KD/7SeTXmtW3uCsjOyN07Ipqyqja20lVct3r6KajwV3biPjqts/0mV2X+EAeu+JMRNiwlhNKJGzs0vOLle8/Pxz3nz3XXy/JsSM9WvssJDmmTBHvFWgWtdDge08R6ZxUQ2xVeRzH0fj3lhils57rhWUnPyPKX1HJ3OKuREETBudc/pvcpNpAG1MX3Gdh9CYoBpKyg3vIgug8gPaSPyp8/JypfrK2CmdYXXCAR0vYSS/wtCU/NUo5kpMGUPFZiNMyFqlw1kMtaGNTNXoBkkvpTAeDiyzEFEOh0MzbGX224VxnCRa1FvidGCwlg5DWCSAYgkZ6wU9hioUn3l5N/Ls+Utq+WP+0X/1X/KdX/86qP+TXAJVd4Qc6JQTaRKlyZRe/8JXoPMbcg8X5zcoJSbBeVwkEMdpZmBQYmYoNVHyET9l4djpFZ0Cykhf1vAqljkio2TfRmXHiO+cS0N3HQ8lct+ttq2TLN+4PDvt1I89yY7ki5RNQyklhJSvPHv/xmddIpWEsoqKPHe6FRSl6dDl+xeQvDavcE8W0zq/5RTRXcntEFXQncPUykKQCNx2X7BSjBklUevHiUTXdcx5OU0rjs/e0VntnGNJEtJyPCxdXV0xHiLbu5d89vkz3r1599SN3j/sOL+4YLVaMQwdL26/JOTE48ePBEmIxnjDxdU5KRXW8UBKQHVMDhkFL5ZhveJ+jKyHFdtpwTjPh4+uKXUhjHtqSJyfnfNiPOC8xXSeNx4/5uatt9CmoKocOpS1Yj6ShUf+4WjOFPe+NoZiBTmps5IDZd/Rb9YQJ54/f94IHwajM+te4UrmcPfAuD2gh8co7YU20J6BUrPEz5uKMwlr16SUWK2ERW2QjpGulVASpR6TuNrBGYn8tYjETQ2d6BpVawgYe/q+5FBtIBVKmtDG4LV4MgT3KBHcuVpyssLGj4mcKylVUs6UmilFimA51CZQDWuZXpm65bnL1KJxJspaeaRbVJF6aJR0dhXkUlFafDvHpMu1MygsiVcmt93hgNNOwn9aXDxVvDday16SkyG0Drc3lloVMWdSlGeZJjNRGLQyWOvprafkQCnphOHKeQGMdFVbYmcKixBetHDiXVU4YyhlQRlIOaKSJnmHdp109LVhP0e0MbjBknPBeoNfSQEUlExyMlHCXpaZZVnoz9as+p6qJPI85sRQHbZKZzSU0AraZkBXUFq0talNNnhin0sT6qtT4ePUSStPtTJdLaqisjQEpHtUsd7ilCPF9v6X1oWuFSoiBWuTgGEYsNayj5LJQJbGlwK8M6hs6KwmGXkOIaF0RisPxpJSoosjqPbuOceSKktYqAg9IuYANaNrpVhJiVVFsLbWOy4Hz2aAJ+eaL/JIjJ+zZ8ehOK5UC7KpBzodSKmyLKEd8OW1l2dJ9q9kZK9LRhpcFbktukI3rDG2J2VFKoZcCyEmBlOgeJwWfKrTBoXIoryWJga/oKDNNbQ94TjpbIFoZHor077UponHCYyzllJ++S4y/IoUybnA3mgONVG1aBFVIynoPONs18aZr79uU8Fqz/XZBQmL8mu06oQvagzFtCIoV9xsUMVx2T9Ca8jMHMLIi+mBKey5POt5fHPDRZdxtqKUJ+TEYdOzLpWEJ8wLIQTuysA2RIIqgunRoiGux19VySg6FzH0Xa4VjzrFeU2sDKxWYIyYiI6A1X61YZoPjOPY7k07FbsOq5GNQJtTRzOoylqBU7Dqem7ne7Td0HcdhYwylQ+/9g63Ly75p//Xv+B3fu93OXtywZe7W25WZyjvKNMW3RYGVRSFxKqXomZcSgs7EflESXJ6NMZiS6XoQpTHFK0UsSS0yTgKRjf0kFUy8o+iXzJai4NfaWJKbLe7U5E/WOlMKhPRTjSxUa2oq57kO2rZ0HXvkd1KcEnUhv4SFF1pp1sxWmSOWB7nJImrFDGQ9dqClcUy5kQsBVsLVWlCkuLG1opunYk0T6QYGXcPIrd4eMb52rKbt+Sc+eMf/JArdUE0mofDzJdf3rHMMo5fbc445MrZ2RqtKtdeS2xnhS5UXN+zDTOHwxbfDdxcvc1f/9WP+MH/8+f8znfeYXr5jDfee8IuOrz2MlKyTVpXwi8kQNasKWbAD5aLy4K1HS9fPOMQZna7gLUVcmXz6Ia4z6dDyZF7fZqHtO68oX3vOmK0grqIHEgrdI3y/FTIudK7jto2H9OY1VBx7V3UxuK8aMXnvFBqYZwWrDF0RYpP+oKq5kRc8R2s+4vXryFqL7KYssKpSqkzKczorsNbS6we13kmcQxS0yI66VDZ9MOpo78sC14rqjPYfiClQKwVgZkvVCJ9f0aIC52X8XZHZQoLVlnRL3tH2cM8T40HKsZCZ4R5LT2jSikJ4zSHwwHbKy46x2635gfff8Hbf/gNPvjm13j6kx9jw8Ly7AWXH3+b7e2WxzdPZIwb4XY/Yfo7fKc5u/DMM5RZ9JaDs2xzpXMDTldSgesW57ybZtlEnWGKlsdvv8n27hnxQXN1+YSfvfyC6gzf/e3fZDi/QRmHw6NtT+gcGnBoyMIWl5OVHNhE3lJRVqGLoSaDMRavAo8ub/j0xR27YLm4fIPV+cQHVnPRO0pR/OTZLZ/ePmf9eEWPGHLzfBBjWylQIkPfc7E+Z9h4Jt3x6N23WJbAfEiYwz3rmwte3t+hQmBlHKZRUkKslAx930NVFOtJcSKVTNjN5JpYxgOHw8J2KVTtmYvClwdsP2BCBttR2nREW0XVhlQWmAN9J2QJcmaaFqb2/uMUpipUkNtkOke0kTkkqJZDw1+uvCMc9nhruTw/o++vuF8002EvhZaBOM9Y6yAvBCORz6UsxKWnmIg1mutLmbbUolBpIYwHsgWsh+Q57yy6Fs46TzWGl3cLCbiddxjvGNYDRS1oowhKUXVl3a+IKbF7GEnrEUOl9w6vpQFiS3dqsBTniKoyloouCk9h8JaVraiauOl6uq5jnCbGZWbaHXC25/LJE4auYx4nyUaohVxBhYIxQQyB60JmQWcN2pCArCq72x1+H0E5DtMseExd6XrDau3afYcSFHFaZH8tis45phZbbbzDdYM8K6ngtMF3A8fSw1iFzhVtFK5FdYd4wPcrOq8ptKAuA123al4i0WaP4wRZE1XFOIM1DfUaAr3r8d4zzwtaVVJaKIjXJpExFM5sJXPAk4h5xGgPXaJHpmPWe6aNZgkd/dcec3f3IJIy1ZNy5f5wYFoC6/WavrfoJA2jh1X6/6l7k1/Lsuy877fb09x7XxMvIjIjIyszq1gsiXIVVSQNEKRMmZJtGNJEMAwJ8MQQYECe2wPrT/BUIwOeWRPDA3lgG9aAsCjbNCmBFklTFFlVZLGqMrOyi4x4zW3OObv1YO17X2QqgqQHNugDJCLwMt5tTrP3Wt/6Gi6t48w7vrruCabwF51ne4h8zVvef37LNH+Hd+4GnuWCQ2Ojh5CoQ0SlHt8NYBPcLVAHHFC1gyz+//vtLY8uPRBQXSGXhB8stljWjDjfU5WRib3p2ackxfzLmodXHLEsch6UI6REJsk9ojW288QYyKXQDz2HecYZgzOWZYmM683rX/hLx5+LIhka2kTrPtr4+8v///WHZKq7boVTFtOfYbFoL6l1RUvx1GnL0I14Y0/2aq7vCXUh3M7Mhx3qvKP33SsvUG0CJxArlBil65euSYyxOZYWsq8D0peaU3CH8I6NyeRYME1YpBs3eZn2+M4zNl5w2O84mm/L75kTT7uUgu1NE/T0JF8YcyZMQmlQQdAt5xyrsaPvDO+//0O+/eTnOFufET/7FF2g60eIUjwqZdEtBKAU2VSKpkVJ35+LnLNcLyOijXv0r2CdE1SyFIy6T2ErJ5Qx319zdY9K1pfe43jqdW08bKWxxuH6DtdQ7pMwTzebN3mX9j2+iHBpXU/je62lzbVWrO+qApWl+VDNzaIUidK2qgjzWYuiPqcg1jJhoeSJZUn88Qcf8f4PP+XG78naSBpjlCALrWUMPs2hiTsSdr3GKk1nHIdlobMO6z3DuMa4DpTlwdVDfud3/yU/8/hnePDoISHMGDsIalwknerIIX7dOnLkAisD1nu6fmS1Pme6XcQ/vCykHAlhxlLQ5nTW23WKp/N3/POe4y0WUTm30I/jTqLNqcA+8tGFAqVO116uc7s2VQKEnG0+2vkY7iEOGcponAKdJJr+088+efWXrdJcCQpcSCWeEBtBrd0plrSUY+qjfJ9UcjuXRvjHjWd7DIbxWja0vu9P05Xj+TjywuX9KzEv3N3cns7VkVeXc6b3hiPv5Dg2t1rGqapWtBLRWy2K58+f8/Byw/n5JbfPrwHNZgkMvef6+vr0DMSquXseWV/IRm20xa9GXJYAh2EYsAjf3FtxptFWsRm8TMbGjpXquNysUVTqshCWiauLS+xmZLU5x3QiWD75l/PSeqzFeUGK5FYlHfn/x2dZ6NooaxhWKzYX51w+eIBNgXUPfvWQ6W6WomGppKipGUlsa4LHqq08T+0U1qrEkmw14oxlSpKkeLw/rbXiaKA1piq0slTELSjmtsAUEXdqpFjKFTrnCR24kshIcRtKJccCOWKKpiotnsGloOzRi9dxOMz/ulBTa2JOcAxjgFMCaNfdTwzFyajDKEVCMcUEOuL9CufOubu5ZTnMuHYNjyidBDXJORYjNyVWWm0K2ztHirGhu7Imic2mgB/aaHxnianQdYNMlIpQ5axW+Dkxl4CxPVjLTMBoBymJc0ITe1fK6f44AjvC8ZWmpHOGzoozRWkJfrbzjEZzmCfI95OYo8XpYd6d+O2qRWZr4wTdPu5Fohym7+VcOt+jrSXGRIiK/X5PTgqyxhpYrTwGRS2FmkRfExraSlHirGAtzhlUfXkSpu73lbaO0YTqu92BlDzaKoyVwvjlf39EXJXKxCIcXWVl2nXMBgghNI/fwuXlJdNuTymC0ivTRMzlnpKptJXJrxXku6KxTgktyFvOz1oCrvWkUvFOYbYTJUsh74dBfqsK/bJUJXHxdJyNlbPVhmorFxvLVmeu6jV3qcOmHSrvsUbiopVLiD98QbtCVZFU5BwIygzaiHd3SpCinLNB9zinSEsFityfVegrx/P2coLrq45cq0z6GvpOKeSQUbU9+22dXZYF36aGR470ifL5Zzj+XBTJBYk0rFVEQsddX5Tonr7r6Kx77e87s8F3K66unuLdwGq8pDPH9VpG+CACjr5zwh0LM1kp9ocX4q+3TKgUuFiveXBxhvceZbT4DmZBFru+spSIsZVp2hNTYs4gZTPIqMSgyPfJWzXTaRis4uHZwKY3GCXiD606qEkEcI1XG1NiSfG04SulcM7RjQPDOAqHMgRSEZNyQiF1IliYaqVoRS6BEBIUxbzb0/eeHK/5ifee8Aff+T6//euFn/72X2Z99QbLdGAphTjvUSVjsgIzEHMipYgqFl0NLXNPHvZSiXEmAbXNXcR2reK0FLTZmJZWJJuU0uYLYoWU70WBx7G0tVaCJ6pYzJkqYyqjNcSMUgZ/dobedOI+oStoS0H8fXNtaXsoShEbuCMf+fincLo0MRfGthibRZN1xncWrSwhSxMyhYVNJ5+nVknZs0pTjWb16Amffvg+f/j9Z/z4kzs+/TSzfyABNHNIEDIqge8qPhWScuhY8c5ys4+crzd0bt14yT34nt71nF08ADRm7PhH//h/5te+95v0Y8fdYeL84k32B1EXe2yrT15vil4qRDWhtMYNI8p14EciC4fDjuWwcNgvhFVAN65cLUpoJ23zfnmROjU0TQzR2gc57/XeI5laqLoQ8jHJThb7WiumFbOUSiaDkbTHCiirG2e4YpVhCRMmtYKrgC6ZDz5/NT9NedsKBE1tvEDvPUuUsawbW2pakQJnjgHQaGcpVpLKtAJlNIewsOk2p+9/3yRYGde6TsZ8WfzSj5dAXC8qYT6Ior81vt534vtds/BlS4Fj7HBRUGRiVJSEBBnt+PDHH/Peuz/HN3/6p/m1X/3fOexnrj/4kJ/4qZ9iThHlPJeXVxw+fkGPwSyKu9vnGNfz+L13MUoJl/ninPlmy9PHF3jv2d7uyKGgOsvhMLO+GoklsepAWcfz6cCnH3zIN3/xr7B69AjjLgjZcnZ5ge0HrPOoU9iPCPYqUuAr07yws4i81HEjUpZMwfYdV0/ewHeWaX+H+fQztP4Rm3XP7nrPEgsffzhxc5u5eGBIy8zt9Q2WDJPQqc5XIyXLyHm33fLo8ordzR3PPv2Ule/FrstbVmcbDreZY9Sp1gqLFb1I23yXZRJnparwypCq4my9wvse0xdC0exDZs4blpiIuZ5cjHq7QmnNEkVPoqoiZRlPS7GIWHIqhS6aUh01R5aY2d5e048D2hput3eS8th5ApLQWGsmTDP7mMEm1sNIP3hCTeiUIGe6vsNpETU6BSvnWKZZvIlVowtoCEui71Z4L+h/yZXd7obeWoqX87LZrChVYQ+ZKU7E5YAxkiT5cGXxOLKWMJXeObTKkkaZMs5YoVVpiRq2xuBjIIco+gmtySWxxMx5t6IfHPM8s90fyLVgnMXYjn5wlJpZlvk0Vb2nK9WTE0TnHbUqwtLWdJJQJlQh5gWqxnZGglTyyPIiESvoOnDWr9B1pvOOHkdO4qncmxXBOMliWCLi3+vYt2Ax7y1d1zWBoAHVhO1thJ9iJoS9UHK8p+pMP0gT7OwxYc7inCXPs9hnpoRu4tcTLShXQohcXz/ncnMm+3wWdwrhRpfmz96hjcPm+/yEnLNM5rRBKXiwXhFjZAkJpS1PHj5kWuDm5qatSVJPhRwZ1iNWS2OZqZR4R9dFLtjy+MpiXaGG7/D0/F2+bhfC8+/zYVj4/Eb4xI6ENo7Oe6aUWJaMHzdCqakJ6x3znAiL0JHAEmOGWDBdT1IJjwTuhBhFsKsV2hrUnxD64TpPyaI30RU8mloy6ExqosNjoW2Upvcd+/1echteDrP4U44/F0XycTz3qkMhm/MxlOBVh3EO4zyu6+ncwOh6vJfXrVXU9qJ0LHTOkFSS1KFSmOatwPJhwik4GwdWQy/oRUMjK7RRs5zsY+d35N0cY1BUQ+AU0tHXKtG/nYHBWcbO0XdaMusplKxFkW2tUAOAsR84hMTSTNFPSuYkkagnTmVDKUD4kLEhcMfuV6IiFXEJKBLTYYvXI08fv8F3vvd9vDb8tV/6RbSy7Hc7urFQYyQfFkHFG+JntGnFkabWo9vGEVWU61ZbIptBYZw7iQ191zXU+6hsFueCI2fOEDkGjNRW4CrjBOFRRgRp7ee1KnLzC0XrhvpKQIQUw+0au/v75GU+KEj6kSA8hqpEvKF0xVtBiWuKVKfoukFCWvaxNXCZJSRSFHQJbRjO1mRlOCyFeSkYM1C0xViPSgfmEMV7N0dIDu2Em937XsJWuh7Xddiuo1pPiJlKYtOcF0JKrM9WPPv8lmkB223IuTmeqIRW5r7gfM0hRZjATUobrBWXjqEXx43lsKXWgjEdtRyauKTxv+q9fdkXkX4hmVnjiKkgYJ0l13xyssj13nHj5MChOHGRVZN81ioiGqvFwF/nI589kZRMJDTmhOR47ymv0SZUZQQJVZLWebJfS5w2kpQSRnenYj/nQq4SpfrlSdUR6T3+XSmhaWglwQWxeYsb40CLF5Q0aILYFlWwrnHkrAZViTngjRfkr0qSWGnPk5yX9t5UUoUf//hj3nn7LZ4+/Qoffvghdy+es7u9YXN+xnY/sd/vCWnB5Z6bF7cSZb0SBLwcpyzGULRi6MSL1GqoOqJrwNaIUgZnBGmqiJPP5vKS8eISN55TtcPZDm1tIyKaLyDK8oErRycUpQT1EmioeWSpehKXamtwQ0+3WbFeLri++SMOhwVQLEvmxfM7lrBQwoJCRFE1SyF6FE8deenWd6w3Z6f3tcaghMCM6zvqnXi42mYbmEIm50RBXqdSsI0/GVsRXHMRbmqp5JDIoZCqboVIJdNAAe+EH5wSIQkg0Uw1xF1Ic7K6LO3e8r5ncDSxaDwhp8f1MGYRBOgW751rwabEfnvH2KaIYZnxtkUjU+mUJLw5haRIFkUstaHmCtO7pqEQPUFFUObjlCOVQlWC0A7eogyEpDAlYpUWNybnOSQRMG9GCUtKzsjar6AaQQ4r0hh1xlJsoaiC8Yauc9gm2ssho62jH1fMYaEgrgbiNmEkQt62fTR/cd05ahtqRTi87a6rRtG75vhQxZXIdhZPYZUNJSS2hxdQF8bOSvOaMuokfm4aIXNM7YuCgL40OTsexhiUgaLEVclSqUr4wbVRFkuphEUmCVR9siSVe0BE4SXdi8b73qO1ZZ4CXeeZppmb58+FstRAGdq0VIBEKdo7rbi528rEu41tcpSCer3ZYAdProkYJ5aQWI+XWH12ClwBKMrIREFVas3UAtWNTLmKRz7iQNI5y6WduXyoKT/7Fj/8ZM//+ht/TLY9NUigli0WqzRB7UW4WI8OJVUmOW1CrdAygaiZoZe9WxQFiONJsxGtSiicr9OheOtkMhPkuZH9SmhfqcgktBtGOt+T09J41JKUepr4/xmOPx9F8ku0hFokAplW2OacqSljXztURrq0zuI6h7eezjox7m43lm0PmLeBUgOVhSluOUw7Xtw9Y97viYctb15d8OTRI87P1pLWpqBaTY40v1/hEH/80TNePN+RIxQtoi5RFsnIX5UiFxlZgNfOcNF19K6yGQ2btaOmQi5aeKVZrJKkqDGs1z12WViW5RS9CM3XsdEi+qMVlpFI5IpmbRy287y/u8GYjs5ZUlwgJkwR9fObVw/I70Weffgj/vGvBL7+9a9z9fgrpP1n1HSghIlaIrkE2VQRjpQ1Fa0NYQ6QBTWoWkQwFXEqMFW+R1YSQ6ysgSq58NoaVBGKxrF41uV+HC3FdGCXEkbrJhKS6Fs1aHBGktPE2Qaan7XY+EjzorTm6KJx9EMEmKaJWmFZIvv9ns4PrEbPPB9w2tB5j1YQUybmCd0btHWM6w1LnEmqsigvMS5GFv/PXux5sZ1IKG73B7pxwCdLKoUUMoewYJXY0h3mLeszx5NHD3n84JLDzTUqJcmld5bnN895cXPN+eaCzz7/lPPzDdeff8bZSjOHS0o9oJTl7m7HOJyhBrBF7rOcy+t5W8YyIBSBqk0TnBh0fsI4nGOrYdnvyNEzdJb9/pZKpus1tS7UKsvDcUE9/qnbopyLoIhK0Xxkxf6pkjHG4Y8+o6mgWkrfcWSI1pRaCCmy6cRlRTWxZCrSOCZkhCyNskErGNdXr/yquZYmqIXjAphSwtqRqg1LjJRa6Npc2hRDzCIQSotcB9XcGVZ9fxrNqebfrpRi5e6dX+CehlJRuN7INc0Zbw2xiUm01i1QRMaO6SiSsjJpEdTKsOQkyForQId+xff/+Ifc3d3xc9/8ad586ym//Tu/wb/4rX/Ov/cf/m02S+L6sxvM+YrdMqNrpTcOmwLP3v8xtVbeevomtRbOHl8RpltikGAToxQmZzajuF94Zwk1cr3bM7zxFl/52jdYv/VVFmUpXU/vPMr1FCypgqmyoZKKeLwXaTaPiEEtCUqSa2GhWgPOCefdW4bzDRdvPMLheD51bKdb3v/hM65fHPj2z3wT7y37wx2ffvQZne1QpsPo2ihnBqMNuSw8ee89zh6/ye1holjNIcxcjqJF8ePAzYvPiSlxMYrCv0uFaYJpSShVWKa5uVVYtHfoUvExkFAs+x27ObA9RGbthM+gFbUaSlVslRRk+3DAmRGLw2rh2Vsrny+XijEQUqYqw3Y7UVJEpRnbe3rXs9qsCSE0ylKllBltLUPnoVQuW6rpPB1kVG8qQWf6DF5pzoZBXDjIDFbcFeaUyUhxno0iTAnRA1S0zjg7YrQlJwnUWGJiCQvWNgEjijhXCoVDghAyJWWhpmhN7xXad8RFESgCcE1C56gktDOMq5552mMA78Uv/3An59Rs1lIsOi+UFefptWrPWqK2xlZcJeQZiTGCKjg7SCGHlamVlcak1g4qlBJFZ7Kf0Z3C6ILxiownGs2uuTKVkui9FEvTQdLzUIqkRXhrB4+Okvh6XE9yzoQSMK6l45aC1RqMOCkU2tTC3duVQns2OE6FPdRKN4zMewmbWfU9zhlilEJvs3lEnaSwjSUzp0LKmeWYamok7tv3jn7YSHGfAqpUrNHkHJnmPd57zi7WYKS5P0yB4cyh5kyMstb01aO16IVKXrC2p3edXNOzDdZa7rYHsvF88tFH7HY7zs+v+PmnK37+73yb73w2850PdryYE7FIcI3xo4hLlcEpOT/WdNQSsaYTeYcRQMbHIraLRtyQ9jHgWv1aSmnP3KuLZDtFCgaLJuQks24Dg24mwrWSUyGqCDmQgvDKU46vBWVf+T5/5n/5/+VR64njKKpkKYJedxy7vWOnYJViKYVixNBVn05YIKSFGBfisudwuON2e0s8zIwWVquRrrtHmhL1xE88IUlaiN8C6pqGNpsTD+9VhzzszXC7JLGFQdP3IzkeZETUrN+WJTaXCHVCTvq+xzYR4tHiDN38X6ugvsQoXsHcm58rjNhsGbnret+zzBNfe+8dVoPjn/z677I5v+Std77Csm2fv3ng1sbJ5ai81voLTYtpoyLdUBCdGjJWCsbKAnFE4E5ctVZkCV+wnHh6x4IkxshsNL4YTEXyzBpnuCBOIznnk0I3HxGGxuk+2brRlN9/Aum/UIlLoGgjdI4s3MIcI9M0YVzGGU1qC7J1HVpZdLMFWq0H1mcbdrsdWsPhsOP2kEhGqC9occbovGdJiRDFBi3GyDIfZNqgFKZ49rsdt7dly8++AAAgAElEQVS3eGPZ7ffU8oj9YUueE5/sAxlPjVlcBY7q+Ho/KXndnSee2eqkRq6qYlTF2R56Rd+vSPNCShk1OkHJ2z1QS3nJB/uLfDxQbfwnVJkjii+3XW2FszoFyQj001C2ZqdEazpVEYN92qYofD2D7zpSCGCMuGkUmeyU18gUlbZUpMECgyrlROGp2hCzoGni1iKvYYzBDz01Htr6IggTpTanmAgI8nCc6OScWY2SeJdCFGV97zHaoa2gxtZa5kU4hSLck5Gt1oYUBOWVpk5R0j0VSBbue540wOeff86zZ8/5xje+wQcfPuS7H7xPzpmz1Zo4BA6+MN9UNkNPfPGc6+cv0OeCYhrzlJALvu/IyVGLbOC6FsgKayzj+YBRiiVnYi28+867rB88wI4joYhLhXiW29N9dlT6m3K8rkf0GE4BMLWijkhyu3eyAqc1eE8/DtDNxApziHz6yXPmqfLL//636DrP7/7L3+KDOKNTFkeUcmyZGvJK5fzhQ3zf8eJ2i9Ea7x3GCOJ8tN+rSpFzwhhN34sjR1VK7uG7Iup3o7CdRxXIS6VDrlufIXQaY53QuqqEbByj2nNNxLSIQJZKbsWLOnrr6yJKfa3Beo75q7rG05TwyGv33hNLJOeCroJwZwppXvBDT66JkoQOFGOEEKnOkFzjq9ZEx9F+TYs1lzF8cv053qzobIezUpikVAgl4qyisxYqLMuEVeJ1TnXoalEolhyJMWMb2kqK4MUlSnmH0RBrIewjWqmmNSg4b/BmJDUEWSnonEOh2S2RaVpYQkBZw/m55ZBEqO6Moffdafp35PTWWlrIUMtRUOrkuqQU1KAa+mgw2rKfDlwOZ8Q21axIfPzoNCXn1sq3IK92X+cqk6VjoFYIoUXRy2toYEkJU0RHQCmil3DgvXx3QU8tw7CiVplcyH7eopJjFCvDYTzxkV3Qp2nC4SD1wFnfo03GFmlGU0rkcGwczGnNmKaEtRqqODONQ4+qnm7wHA4H5hjw9NjeoHSbJCDUDOccaZHAE+s0yywjX1sDzmhCWlDaMAwrWZOGSyxrnt/coG5uefudR/zUu5fc7WfKXcHFBUrC2g2qiM+3a43P3d0dh4PYYlrjSXUhxoJTon1KfDFH4Qi3qMYEeNUR5wVjO5RqNLeUJWxV84VpSYwRR9ORtPRE/Sdwnb98/PkokpvI7eTMUaHmIkWv1iSV2eXltb9+Ng44P1AxFNVxKAanMgEjHpUloWtGFcPuZkcMOz578QG7+Y6YZkrJrNYXbM4GztYjZ+MIKtABISR6bQm2MBlDrxYmZbgthiVqKvGlk9hEOcbIplITg7c8etCx8op1X7FaE7I4WpQ4iWudrlQlC6YfPFgnfKRUWjSuwSowpdDpIx9QrJYqWpwj8sT68RkxZ5w1UCLaWA7zgq0K789QWjbMzaan1sf87M/8Za6vr/nN3/k9/q1f+Db7288I+8SU7vBrKeLUrrDpR2KZgUrXGUpL/NPW4JxtAqJKUUocOKzGecs0zxSt6K2Mo4Y29iwx4KyVItEaQhHrrlQyZg/Ga0yn0FbhOkffn6NWHt17cu7IWWF9DymTlwO5ZPKyA1VJWRqLrnfoTjZK7xxURY6FsR/o/ECZF7HlUUL+rypTcqG3mhICZQm4szOm+SDFVKfRg2VP5O5mS0mG4eyc4eqScxw/fP97FDUTd5m1HwhUTCe8r8v1GZvxnIfnV6QUMH7gdprYlQJq4vndFmUcn13fMe1lw68p8ez6BYd5i3/0FnazJtSC1oquenIVek2mUvOrH/gSFqIF8eO2wqGrRcadxnF1+RbOeHLcEXTFekUtmrxUqnb4QcRhhERGrKyKgnWyaC1juONC5DpHrTTOmWaZDlTtMJ2jVkPMiawrUipUcomy8ajKoqSISIsI2Jz2lCS8a5UtFUXMEWxiZbpXLyFuBSmR1Z6SK701FG2YS8R6jymVWhRZK8gKb1YYnYnxlpUdych3cyvHkmd00BwDbbrm413mQDeO3B0O9H3PnJPYwCGNXgwT3lioGd/GwSVVnPGkXCih+aE3MXEFupVHKc0SAzWI7/XoHcPo2G7FW/e7n/yIWxZ+/pd/ib90t+c3/4/f4I2nbxO14fKNN9jnyO4QOYQZ3XsevvU2vfMMmzPMPBHnPeerNbt4ze3hBSUlOj/gN2fkuwNQ2Vw+Yf3knP7N9+DqDYrrGLVGO984vBNaWfGjT0WEuUamXEp7wLSmVWFNRzaeWMUdxpQFkrjFiMVAoV9fsZwtPHz4DT64jfzRDz/ja199k6u3+takBoyOdCXjaiZVg4qVqiVoYvXgnPOHa3LX8+KjQJwPfOurX0HVTImV5W7i8YM3uH3xgmUJWGfJ04GaM2M/EFJm7T2xGJYUGIwn10qwmRoiRhXGoSOkyvVyIOaCtj3WjQzjhkVnSjF4f85ujiQSU55ZkkNl2aCH1UhUGusSqkTWrmNRmqk6cpk53EgE8zh0EAp5dkQiuoc4F1bdQL/x4pc8XxNSYlxdMK7PyTFRc2RKFVuFb/3JMp2KLW0N3lgerAdyotEnHNp39FbWyLt5i04yiTWj5qBaRHKqJJNJNWFqjx0sVlVUyeQUWHYTqXcyuk6JFRqzUoRcuDkkylzINbLqZWIYJtEFVAxaKbZL5hAiWYGviXJ3C7agkqbTmrfGEdp+5wZDpDDPM6TKPoOqld5WvNLk3BJcvXDLxVavcr7q8UtlZT3FGbb7Heuxo4QiIAGVFCdqTlTjT9qZvCRurxfubgIX45pS44lKpay7D1JCpmFVCb1FN+G312LXFg57eU1rUYgYWGtNNwqd8HDYY53i/GKNsqYJ9yp936OUZRsjS9i3Rt9jtGWpAqRJ4l8mVVh1IkjOJRNz5ub2TqbMxtINZxgj65h1GsoapSqd89ze3jCFgPcDNTvIjt7bNmmXhnhsYICzAna98aBCHZhuPLvdgZtnE1O446/8xFeZY+DyBx/yz344o8I5z2yh1sy5t+BGpuWOUishHlhCZX0+Mq498VAoWaFyabQNCOWoZXGyx70GgDzkgqmJWDPGGc4Gx7zsQZ2z5JmsKqOBHDPOOzpvyaVgtWMJ/39Dkk8coyYeaspjEFcIqzTevv6jDs6KOIgqbEddKcXQ+RUJmJcovLO05TDdEpY7DtMdc9hTqqBZvfMMvhNFphHV/ssKS7nRaOEjkVwg8mqFZK0VSsIZxeAsq84z2NIoC4I0aRoHrfkoHtGZUqpY/LQxQ86ZvnWP6uhTLORRFJolBRlpaPWFz3tEZr3rySmglcS76uY56pzjzSdPsf3I7/7R93l+e2DVr9H9SFomBmPwRhPYg7bUo9JXVVR78Ixr1k+1IYTaoPVLvrqNz30UFsA9z0vGi5KIGINwU7W2gsBUjVWyoBolPEjXDSjfkSoyEmx87xBmYphxHN0q7nm0J952rSju3xcayq3vPZJLgTmJ8GMfZtCGrtw7EyjAGSsiSuskclcZHj58TJyFKtINmqgKUwiYzlNiQblKXGYOOD755BNKFouxUitznEgUCUiJkc545imRkyIlxe0uciiWS+2hKLzz6HJvzfYyV/hVh4GTF3QtqbkwyIJPrfRDh9IXXF9PGFPJ2lIakoIyknpVFQ2CIqV7/viX3/eeM3hEnfXpWh9/LnzmoyPEF7/Dl5+fSiVQpMFtAkFbKvrVCaVo15PzAVVF+KuVKPbtqiPlgncDMWaKkjGydZz4+8olDCIwtM4xRRl/H6dKL4fOfPkzH10wFgXz4cDQeYkHfkk9/fI9VzmmWYrB/TAMLMtymlbFuDRxoDtZQ+ZYuH5+w/WLW95++x3m+f/k+vqax++8LcKhLGuGcT3r9Ui32bAaV+Si8X4kHQ4sU5D0LNtTaiJXQ4oFN65ljD2scWcXaCuJn7YhsRiD0oaUFpSrpCAhG7pqUihoLQmgNOFurYAxgla/dN3VyfVHRs/OOVLnWJ0/QJsBKlw+eMDz588ZhoFpEs51Z4QuZNpEsLOOqqFbjQzjmptFxMBONzDEidf8tCys+w5rHbW5OoRGe/FObCG7rsNjmZZIRlN0QjtPIbKbZny/QVuHo0gAApUQFqEzNJ/tJUPIbc1NGmskTAFqE5AKyqi1AsSCspIZhoFSkyCjtRJKxroeo5zc61pjlWXdGbK1pNQxR3NaT8XpQaGaWwJaNX69CJlUksbNWuHA6xZzrJG1s+YiE5yjsKlN81KuGCXCXGc8togX+9AZKDDlTFZKhHkloVUFY9Ha46tiZbMkx8UklI4Ws6yB3JBmmSxm0KqlToLGUJrDQYqSThVTEL24t00UqCgptmAUofykxosGuQW7dt8arbCxUAokEt6JQDFOcNjvBYlNhTBF4U4bI4FabW1MLVX1OAmox2dfS31w5PXKe4GyotspTRCWisIocOp4zkW7U1ObjBuDMy19L4uI+AvOTBwnt7H9XON9RwiB/X7fqEc9HiPPoJMGK2dxzdJaJnxK3e+F1WZxbLIKn0ZxWcHglXwnVRYMltRiuwUBp+3pcKE8dAOmN9Qbx/7zaxKB+bDFWs3P/+RTPvnoD/jx/ofY80ckNRKzwTpBvUNITJN4Z/vBYm0vWqAmcA7Lgkez0KaKbS94HYugGk1utaJoRyuqKHZhJuYkU7pTboMExwFU8p84+f/y8acWyUqprwD/EHgD2dr+61rrP1BKPQD+O+A94IfA36m1Xiu5wv8A+JvAAfi7tdbf+hPfo90AWktCkQK0rThjGL0Ur6+LowVYeymOnCoonSmuYKIltchplj1L2HG9+4AXzz8hhZlp3jXrJYUzlofrc65WZ9RamWPA9TJu0rVimsBiGDWx9OxSYVsykZfQ75cOrSRr/WpY8e6bVzx9CGHe4lSS4AJk1OF7SCVK4k9DlpSCKU7ihewMK9WzGnrSEpojQLvpjUKZY5S1FNWlSLFljCGHSClwfn7JfJjItRCrcKis0ShnuY2Bb/0b3+Ddn/1FfvVXf4WLVcdfePspZxePSbefsl8mbK/Zl3QijlfVRHfOUcjkVjgZKygTSjpa1Uz0Va4UdSxE7wWHkoLj2t+nk6WOdwNd19H3DgycnW1YfI87v8SsHhG8J+fM/voFx9AHEVA1YVArzrz3p6J4GAdpKJbI4XCQ9/YdOUdSrpQltHtdhIUxi61MShFnrHDBQ0Rn2YzXqxXXu1tM1/P4yVtcXD7iD7//A378o/dRvmeaAqZ4Dtd3XKw6lmXPPH1GCBllYOUM67MNfj1StKZow7RE5hR488k7vP/RR+iqWZ+/wdf/0rd49mxLqZqV68jzQu2kEcgVCZN4zfOuVePCoVqsuPSe2gqNZprE1my9OafTM1kfKCkSqpzXpSSM0gzI5iyivALei585tNctp0XnvqmU1LHypUI61S8W2qZCemmsSimCSNdKUBLGMLoei8IZxbRsX/lds1+BMqhcyGohxkwqhXFYUeaIso4UomzMXpPKTCxZ7KlM4W5/QGlRjk8xnYoGkJFujBGXZJS/GVd0XSeFgDGUnE7Nltb6C7zlXCWCVhpCSaI88u8FJdJMkyAovrPkEoUfv0x443HacX19TY3we//qu7y43vPX/91/hw8+/ojzBw8IsXJ59ZBlWdg8vuTy8oo8jKyvHlGnIOI3f0tZohTA/oKkE916pBsHNucPqcoQtcOtzunPzlHKNNBCyfMtWlnmaUdY9oxaRDO26zG+wxoLVmGMWJgdrdiOcebCPxeBVM6iFRhXPVxecvuxJ5Sed957wtN33+XF9TPO8jk/+OMP2O8Lb73hISV0hZW3lBzZh8BXLs9J2jYHFMVqGMkhEozh/PKctNuxnWbmEBl9LxHpRkRbmUymMPaOqmT8GqtiITF2nqWLGCq3Ny9w/YbN0GF1oqC42wdiXEhlRI2WfU4S960M47DGekskUEuib2lzJmcpkshYXVlvPJ3tsbqI7V8nMdHPb645O7skxci8X2Ap9FVjO8vV1SUhZZ7fTMRlJhUR+Nmxk0lZybhBUt/ydt96EYVBM3Qi2FQ5QS7kZcH5nlXfUt+aXV3cz5Sc6ccVKEHexhoxRuO0RDhfrS/5bBsoMVKTQhWxQp0bb/+s1zgt4S46iUOG7YfmmiBCQaPaqL9RmXIKqFQ4X10CMM8B5xXWaXITKF5sNoyu4/rFZxglIq/SmmnVxL7ayD1nVcEA44MeM4kFWA4ZagCV6HsR3zrjsUqz29+QUiKEhNKK3lmyVqQS6X2Pca6FXzTaSEt306rQdx3hsGWZI9lW+o3HOkeqolXIKWAUeGgBNJlljmgMSxQxMVZEg7YBgULnifR9j/Mjzglod9jHtq+JiL4Ww/ZWLGL7vhcaY61M+xkVFqzVdL0k0pYUiKaQisG5jssHD4kxsz8EyIYSI3mOOKPR9hgk02wqlQYqbknsc8JeXnI5rLE1wz5y9+IZVlX6sfIffPsNPjMr/od/9TE3ccbwkCVEJg3LHFkWmSAe9ovsyYA2FtWoiEPR6JUjK9gvM1opzob1K9d850epAepMrcKjz0th7jIxZQluSllqKe6pQOr/hVjqBPzntdbfUkptgH+hlPoV4O8C/0ut9b9USv194O8D/wXwN4CfbP/9PPBftT9ffyiFsR7hEDREyor/rbUWZzW9eb0FnNcistO5gk6EHHFGbN5qrdSyIyx33N3dcJh21KYsPtIbnTasup7Bt/FQktFUeQkdc9qw5AOHeWIXllPc5ev6EQ2se8fZ2OF0FGW7s5Jq1CIqrVXNP7HxRpUCo8hJBHq1RTtTK+WIZqHE+7nxvLSV7PNSIbe8c2MMVYsZqHiGehSZJRxERW8k5e386iFzzjx58pSv/9S3+MEffZdnc2LlLeCpKmJ8JaaKS81N4nTNml9njY1y2tTGqnGJXrLxMeaLnrEnznfJ6MZZOxZOunWHWTeBmDX0w4opZpgjxklMcQ0y6u26rvmUNiQ+v6yGvhfxUVVbCANUzeXlJSlZQQvUESWUbr6jnBDxmoVrTS5iE+ccehjYx6VZ8cGwGnnr7Sdst1s+enbN3SFwPoxkpdkfFnGNwBHIlAxzzszccukkeKLS0HPnqWgOkwis/upf+6s8+omv8+u/9tukqKghYY2MtQuCjh3P+esfraOXskKWbVEcV6WoZHIVKx1bmxpbK0oqQp2xpt1DwtkGTtf1ldZwcEIujsLbl4tk4MS11c0LRuLP7ycQJ8QZcEojW7M6IbDqiHJ8+Xt2A1ppKfRrkGe3obwYTYiRXCpi0iCuI/IMdlC0RLTHIpG0TXPzsgWj1pq8HOQMCktHuPFaiumsOPm7pphPv1uKfG7bXvRlpX7OmWVZTve/8J/FKzWnTE7NQiuLnRHGcjgcGp1oYLvdcvXwTarSxAzD5oJ+dUbpO7TyxJoJi1hdKmtw2lKLR+XMcLaSiGkjlm7Kr8D3dMNALKZdQ9UaK7FNC3EWCk8V+6oTQpxWbdET7i5HnvxL94icA3H8EU5pxfQe22+IxZCqWOgNgzuhTn3nGv+44DD03kpzphybq0vmlEBbUoiozggFoa+4bmCkso2LiLhKhZJP1myRKughlVgSICPYoBQ1LThdWA+OEBJGiYBYe0utkLRiTsIBrkmcVozWOKMxtoBKQg0qGY3Ha8Ngu9M0ojQPcY3CtzjkuARqyayGnnEYqH3PIWRSyczVokNlF7bUKqEedu3Y3h4IQdLmrO4Yho7DnXDolXXiNKQdxog/t1FNZ1AFXfRaHEBitCwlCVBlO6KR9bvmyn5a0Lbiq4REqZJJ/j6V0Gh5PhOZ7XaPs5qV67FGQqIKsodO00wFrDFie5ZEK5Bbc6mtRccFYyu6aiBRKoSoWuIpJ12LM80bp0jTZaxQD7WSa1trlsmBKuznjNeOznmirWy3e2gpgaIwFbBktRqazmjXJrm2vV9tziWiv7DO4dp/tD1BaDW97ElUUomoAqtuJUhs8eJtL5o+EeWOHdMuUFLF+5457U88eqVAocg5Ms8zMapGwTAY7bFGYW0n2oqmN0gpcbu9kyln11EQt6kvu3MYJc1YSRllCs7C2GnyIvtPVoZcM958UVN08oO3DkiocMC5jvOLnpA7glpQWhHixJwPXDw441tPL/nkJvL9Dz9mPL9kLlYs2ZRp4nratB4yhVrKCcjpfceUxSLTGvNaFkEKiUo5ca1RGu2tCMZVFR2VMRSlUUYyM1RLAravd5b7144/tUiutX4MfNz+vlVK/QHwFPhbwC+3f/bfAP8UKZL/FvAPqzxJ/0wpdaGUetJe55VHAZTzOG3plMIUWIxk1vfe0jl/4rO+6uisgapZSiQlwzRtSXVH2E+UHNjtP+Ew3XJ3CMzzLEIgLX4ZmkJnLGfDis24ahZDMC1Lc6qoTaHr6Zzmex/+iBd3M7HA69K/c4bBKa42G9bWkOYX5GXC6hWrocNiBX3ToK2TkVsuzQ7H4AfP88+eUWvlwfkFOUestsdMPHmPmKhZCe/4cKDUiht7Ss3i15qynJM5oqqmWw9U0wzknaXXjncefJ0nb79H1p5/8xf+bd752k/yj/7H/xZTMt98/IDL9RUpX6OxmHwfxlFrBaWwVjd/69rGfVK0l5Qwjcqg2sN6bAaOwkN5gOVOHbrxFJKyi4ZiFVmJLZvtevxqzf/1h99nz6e8+dWBB5drrh49PHlox+Yu4pxjTkHG17oytijTw+FwolscP8Pt7Rbvm+n7sfBqdJiu69BakXL4wqg9hkAMQUJoOs+qbljOJ+5urvG9Yf3gjF/45rd49mLL7/3+99jGgPUrlDGEVFk/OEepzHb7OYsSzqyzA0YZhr5nc3bBj97/AW995U1eXH/Of/Qf/23+ya/+bwwqcfn4TZ4925OiUIxzzqTSGpLXjaNKEi9pmvtKe9rCMkOVUX/OkVAUg1sR/I6UAzVFMorQUoq8FncXbx35aMHV4tIVMuZ1J7/m+yK65PsR15E+FFPEKH3yCD3aoIGIQI+HUgp1CBjlcF7GnQmFKq8uks2wAQym61C1MDoP1vB8mlmfPSDGyDiOpJLIRVAW4zpS1sTgMKpSbRMqNhGo9/7UWDnncH3/BSP6oxdzKYVpCgxOn4Qix+O4wRhjyEs+hUwcxTd32xuMMaQUKEX+fQiCGD27eS4Wc2iuX9yxm3acna1589136Pse3xvmeaYqzZO33ga3IqH5C+99QwIOpkJk5vKtxzz/8Yd0fc/F+oxMxQ0e4w1hUYSi2Fy8IaN35+mQcBsAlWR6EMOCLjO9KYTbW3IFmxMpSOKVcj12ZbG+ymakOBX/pWSyyjjTcQx7MSi091TtSNkTYuF2e0d3PnJ3+4J5Wlit1hI77Q2+KrSCvh/YnK9wY08olWFYcXt9zWgumLSCoecwT/i+pxtWxCVRQkFXjXUOpSvWWQajUXND0tAo15FywAwGVRQPz1c8uLjkRx9+hsmZsV/TDQPnvieEyIuo2C4Lky7EJZKyoZSDjOIbNcSqEa8sJUGNoLwBKtNuQiHuQeKQV1oztDDd7bh88BB9UZl3Wz65izJR7KU4TIcdGkXvN3ROXECezwf6vcWv15QsIkCDouTMvCx4pdFG0VmFcT05K1IKqOwZxx7TfOGHQeOqZi6FUgKH3Y59FQ7rxXpEKcPN9ZYYZkwV9FOtDNlqurM1JUzc7W9ZdT3riwdcb48WmjJdubu+I6fKuFqBdVLoOUXvPUNXCfMOVWG9Gag1c7dfWG3WpGXh5uaG53Ng4zWhRKIKWO/AeNmDSsBqTT/Ydr46YudI24UciiC3y0xnHUuYxd2i02ginROHEEqVvcu0xqfv2v7gBMgzjlBmasmsux6rJOZZ9z3mFJJUqSWStjc45xjPNqC1OAHVijYJjeHq6orPP33O4TBTdBIKHEL37LuBzWbkMO1k2hkNJWuUaoFIStadnCP7ULFeciSUkmfKGEuNcwuRyc1b2WHqUQRdUUrSTX2XicZizMDWynqiWKglU7LkOWTVxHTdGaOp3Dz/MdloussHvPPmYz4phU+fXRO04XYO3P727/PeO2/yzbfPuIiKjxXs88A8t4mZ9zLNVganKvtTJsEKnWUSVYr4zytVWfb7V675tsg6kxTEHFmSNIhuEXs/44RbnWoRoXiGkgMa/WoKwGuO/0ecZKXUe8DPAP8ceOOlwvcThI4BUkB/8NKvfdh+9oUiWSn194C/B4A2hOpRCqwfKCiijlRt2BVPiIpymF77ua4XR8WijKNmKQZupxvmw5aw7NntPieFSU680mQsSllBZ9WM7jS2A1RE5YiuhqGzoCpLdGAM0W2FyhG2rItnu4iTgc1SFmSgVd14YDN4Vv1ESRNVRcZxTW96CdaosfGWe/osiE1pReVhmTFG4dyAMo6uX9MZLcKFZp1ljKEzhpQS++2ObljJOGgvtIXzi0sG1xNTINVZLG3UgCsGnSSVC2M5f+MNamfp1gMFw+N3vsp/8p/+Z1y/eME//Z/+ez74/FN+6ZtfoS4zSVnpcktGNyP1lKIIe9oIo5aCXhROiU0SxlINVFsJtVKcQTlDKBLdXUsbUbuOqiUBcdVnjB5QWoRys68cqueQL8BfcHNzw277gori6sElporLhR03LCmDyZQcibFSk/iJ+s7hrGcfAn7oSRVub2+4unwgFjc3W6y1nF89AGB/kJG+91bs7pQmq0IswuPLSmG0JYVM0ZZqOt5++pOcPXiD3/v977J9fsdf/NpXeX59y7TfQqk8vOx4+vQpw3rF7333e5ScGf3/zdybxMq6pWdaz2r/LiJ2c/rMm3nT107biQu7XFSWVXKVQCpEJ0ZIMKARQsyAASMGiAliwohxqUrMKIlCAgkkEBJCgKgCUypbFunKcpdubnPOvaffOyL+bnUMvhWxd9rnVuWAgX/p6hzte87ZsSP+f61vfd/7Pq9DlwVdMm3rOb57wc99/FP87o/+kH/hX/znGBrPi+dvcN2GpRRK75mnCYOYObUumJA0bMIAACAASURBVLJSWD/8YDiPLjWaW9WExCQpU6VACgJwcs5wzKtovErBKYVOCYur9bWMzEuWZCRfrLRFasQ0VT5zTvirhyAPNcJcoPCpZIlRVRI8kZVo+Yj3deT1/xcobVe7scKHNsXi2t0Hf9SrBzvWY+EwbpiPgkrSRdOYQlyOWN8zhSSaZRo5ODqPUhE1BNzgiNmwhBVXtEgrKqc3xUzOgbbbEteZXBZSjjTekWNi6D05QIqLUG+wUCLLslCyojWO6WaP0p4YMymu5BomcjDVb1Dd2CprjHbMx8B2e0EIgXGZUQ4eXW8ZvGJ9+Tlm2LCELZePr3i4e8AUEu3FE/phy23QJNtx/c2eB+kR7149Z3f183edpjpGNcbgtg3GOIpzaGexrqMYQwgy9bFaozMUtXJ7c8vNMhOON+yGll27w9iquQ4rahkxJZNtJbCYmoyJpi0K1lxpAZBJaO8wF1e8DZkvX0988cfvMFvPZ3/wBb2KXJrEZd9jrCKvI4d1pv/GUy6fPsWYgXa35c1XX3J50UNOhMXj3rxnMZbQGMYwiemqFa0iOYnYrShKVBjvCVmjk1CFhrbhzWEmRMFKrmHlarthPy3M84JvW4beoXRg22jaYUveZ5q+EPLC/nbBNQZnDUPX0V9sSSGic8Qbz7IsGGdYM6zjiJlkSX9wcYFSitb17I8HXnxxoO16tDVsm1a67uSK1YsoMinLJG0YJFltjYGyLBgtBJCsFN47nALQJKWZkSKBKM9pq0HFhZ2z+L7j7UGaSI1TBGNp7ZZcvS1vDu8wRtFtOnp2pHUh5cB4e4vW4MwOVQyhOPYLlJvAw60j5sJ+SgRrMJtODoLWQ8pcNNLxziEzlcDVsKWpDOg5FjbG06QCyhDnI8YopgxOW3IyLIdIn6BvPX63rQSauRJjCl1QxFjAGbzTfLTbMYeVsBrR+pYozZC4EGOm37aUDLFQu8ky6Z3nVSRFrOglsx6O3DCeJ6P99UDbthLo4cTA3HbSFd3vD7jG43wmpJVlFtN+WBNd7+kA9IDSCSiy5xTIJWCcpukGIStpyzSuQqwYF2LWxBBoVEOJAe8NqUTiNGOcrbJDS1vX0JQz0ypJoLZpCFlhVKHXLTSw5kR3YfFNy82bEWMc250cUk/T6TVOrKGgnKzB+ZA4phuuHikuH1o+fz6hRih9w/HNS8rFke//wrfZr4Xhtz7jj2PiR1xSjCa3LYvvcPMtrTJ41xLXhVFrypxxbYPJYuiz7sNGlNxbcorEVdCMJgVKGCm6oWs8yllWJKl1DgtqLXjrWUvma7zuH7x+4iJZKbUB/lvgPyyl3N4ft5ZSilKnENKf7Cql/A3gbwBo2xSFk/Qj1NkJW4pmLZoQM2H8evjzcRKjgXKhDlICy7TneHjHMh9Z5oNoHfWdKSgnOa0YI9pNZ5Fxj5EseDF2VVOdqlKIopmmqRYDMhat0q87I1IdxRqNGFqKnBK1Nngr2jBXRflUtJpIIu7pkbKMsVThbsFOEYNEhWot41OtIC9SGOcqWziZ5Mwp/acWSbmSCEop5GTR92JmNepcfJtm4Pr6Ab/97Y95/Wnh9T5wMQw4VViXicYYusGxf/8ObcXoUFImhkVsk8IaQxIFT4bCHzc+nbprBZGNWO/uUEiNIUdwvkEZyzpr6ZRcPkT7C/bTRIkT6vPPSTnyM9/5mLSuLNOMbVoK0rU+BZqcioFT504GHBL/G1I8F3UhBOZ5PeO80r1YY+dcHQ+K3hpA2cqKzUkSmfqGq+GBHGA6T1wXWmvoL7fEZaVRhr5zDL3nwaWYtUqIwvzUGpLm4mpLSCtPnz3il3/5l5jmI4dxZI0JjOCNYsU9laIrXesf/djdN5upe++9UieKdIGisCiSkl+10hQlGy0gGKeSq25epE2q/pup6vUzd+zgEAJN01AQs0pISWLNFXfftwbTaGNQNdFSay0GrCLubW9P3W+RIuSSSeXD8xvXDIRpRHtPu9sxv3tL2xhCTqhQ8I2lQcJnYs7EHOUgpUBXLfISEuO8nO+VkwH1PG7UcpilaAmHOSX7GUcqClM7S0sdn5/weFDlVebOaCn3/13RuM6L6FatFSNKKaQCWWWKBbTClIyvI1OrDFpbCbBpOmKYGDaSildsC2mlH3rW+UDWDZvNcH4OTp1tYwxRifMeK9KGXMfyp8/ydJWUaVyLdp4o5yMyorkupVqmcyakKK8LZOMvCgE6KRk+aIvSBY0BlWn7nodPn4isxjrev77h7et3bPr+9LIoKZERnWK/u2K7uwI0Rsk6Pk0Tvhsk6SvDMs/oZAmhMt2dSEYygg07eQhVQSK7yUxRuvzZyAEupYCKmouhR1vFyzdvGcc9pm0Z55lASyiZCvXHFOmQaWPO2LxxHAnjTNc7LBUbpjS7fiBkS44rcQ2M40TbeFxjJTJZqzp6V6gUz58VSvYuoURU0oLKoDI6JWn8ZIFnne9ZdWcARyt0gTUlrJFnI5eC9Q5jLV0je0EqGaM0AUU2BW9byiimvmVOKCd7TC6n/UZkd9LccVASa1w47CeMs1zvNhStuN0fmdZFMGtyS8uED0VMmTWI7EPCZ0olPmi8t1hj0VoTwyzTXa3EfKszMS1sdUdRMK2FWArBQGNOry9ijMO2Fp+zoC6L+FeMUlhnKSWwzJPco1VKZIwXrjF3Bt1SpW6nr92XTonPRj4DjUMbXYM6pKbRBVQqWF0bB3XmrwqkLGZSrS0KTQrlfMg+BZF0rZfpYKxkoKzr+i0ECLnHi7Cny50PSAyclkaJFON+MFuIC0W5enC2+EbwdeM4Mgwe5xpubm5oGk8Is0hkDGedcskRg8d5z8NLRZz3YC948/YFYRmxambjNd993JLNzGf7gPYOiiUsGlcnVdqaSguRWquxjrSKEVH5D1e0RmtKFiyoVlKToamTzvqfEgqlcbKuamuIsZz3q5/k+omKZKWUQwrkv1VK+e/ql786ySiUUs+Al/XrXwDfuvfXP6pf+/p/Hw3JCxtPG7TR1WFbuY2qMKavEzdASBtpzcfIEt5xe/sep95xPN4Q1wWlMtbAHGVKLIWjaNEaB60xeGdwWpOom5sSnaT1jqKQX1Pm5v2+Yq5Er5dqwSA/h/y3a+DJruVq8Kg10DpH4wxaFVTJ+PpvxlrUKiXj+zPTr2obT3rHtS5mGqFr5BpXecq5b9uWTGG73Vad5UlGcKd/DHFFKTELSfLYwDxOGNcwWAsVg7MQmJaZf/5f/ldZxwP/49/+W3x5WPnkyRXOXTBNNxQ0i3F0TY/WQfSdB+nWJKUECF/ElSpFU7y7Z1XVOeaCd4LzMq1871QyMzPN0EJzyZQ0r97OzNuORx//NH57gX7+gmn/nq9ef8W8TDy+vGSz2ZBCIsSJZiPv3eF2XyNFfTXeyYh8GAbe3twydB3ee477A76aQo+H8R6Fw56L6hACMQTB2LWtxPvOR1rvWBtPSRE0LMvKd77zbV6/fs3zz76kMfDu/TviGtBtzx/86Hex3pF0IIfEumTZYKLlYBJ9gnme+c/+0/+Ev/Qrf4H/7X//nzkc9oRgQc/kbLFWE+KMPLpyGPnaQjlnSaCrB0OQAk2ZmgSlpGgsCRxy2HNK7umiYNV3PNJcR8La3N2XJUbpWmBYYnWIW8sSA8pKN5Jq2owxyQZ8emn1OUOJiz6lRFhXcjVzllrc3N+InDOEr+kAvH4zQ7ZcPvs2y7znsJ9o2h5dKgM2LUKUWeN5UTZa0bUN47oSw4IqSkyyUTp/WmtCTpganY4BjBS0CUVIgqaytsVaQcCFZaUU4R8bpTGngJQ1kJKMqL019XNJTIv4JqzS501bW4lXTUX08k3nKcDQ9Qx9g2tbfD/QPHxM9+gjiu8Z2mvs5gpjWxaj2A4PmMaROVp2jz8WMkDOxNpF7rZbnHMclkOVQGiyUsQkrNFToiX1cNsPO9Iq49fNVSfovlwoxTIHMfkEVnSIsv5Yg/PSiVfWgPKoUj0DSXwRxsDDbzzjF77/ff723/ybrEnz9sVb4nHmwZMdaTqgFcxxpd89Zte1bB89Rrct67xwqS9orWWZAjMJ1zbs1yOrei++C0Vd1z0oRbaGqMEW2VyttbREsoJRyftdjBibWjuTlWa32TJcWkIc2a8r+2OhKMebdwcyimQ7CtIYcEYL6g/q6F7u8du1EohCwihF3wx0ly0pRFJYsAjnNq4BX8kithIU1LqgrEW3LVoblKlrey7VHJsxRWF0oel7wrKiuSuMVIZUEjnKgcxZiyq6BlMlaCxLysRpxBbZp3KuZsOUwcvPtNnsSLkwzpFpnIU2og1t08nzihETtXe0vqd1Cl/3gbTOopPNK53KBDKBBNnLxBBDt7lkXCbmmNg2Ih9oLiT5dpyOKCVhMq1rxNDfNxKiUmRNW4+3GO0ISySmQsGh4hHfD1itWJbAixcvaKwDJYE6nW9AZaZlwVrPMAzM08K0hrrmaw6lHnKsZl0XtHVYI94iq2Waa6w9a5X7vhfjbihoC2hJUm18izfiu5I0RcBUKWLMUDQ37w8oNXJ9fS2a350k8S2rFMWN03iniVbSQnGaNcsukEtCaY2z4qtyRhFy4vb2FmMM3dCf5SPGaVKKpLQSS8Y1Ykxc1hlbBL3mmo79cZKfaSNAA92ISXc+7Ik50TcNVmtyiCwh4sh891vX7NcNXnvGeWJ5O9I0ju90I/6J5lUbeb/ckt01rrtmfCNISuU02kDTtuQ1wBoFp+cNuvtwJznWw4K1VgJ5lPiXOm/YT7NIYay5i/+u9VYIgePy9cqEP3n9JHQLBfyXwD8spfwX9/7X/wD828B/Xn/97+99/T9QSv3XiGHv5h+lR5Zvwjnwo35PaigxBrmhrfn6lyqu0UJMC2mdCcstiVk6AzlLIAWlUgBqrCXVwGAs3jY47QBFruNlKSyE4ysmP5ED5HwymplzcXy/RNEFWguNE+C9KgmNphRBmaENpZ6elZFu8X0E3NmoYuT03HknyB5l70x+98xQZ7B4yWcszYl2YJ05j4xSKtIZp4CKlJKqEUIW06wqKk0ltJKku832ko8+/lm++PxTXr1buLrcopgoMbO9fEKsDy8kjPOUKA9rOSWS1OGCMvbuZAf117uxe1ECpEcLp9c0HatpWHGw2fLgyTeZQkSnwpMnT3ivCtPxLSEEXr16hdaafrgkpB8/4Z9iXxWQU0FZK90erXn97i0/9e2PiTEyHUd5v6vpKqZQO/H2fKhY5mrSOTnIKaQQJVBimsFoet8wtQ3bfuDRowccDgf+8NMDcVnxSjqGIReyXilZEZMiZ03bdTjXYKzmL/zFX+bjT76FNomXr56T4kxjNkCElNBKDFCa2tHk7n3+k9fJ8Hb/Ohkaq7fuzoSmpAMFpf5e7mUFZ/C6Kne/B86kEqUUJorW7SRPIWVyqRg+IOUauXtuYtQOzD2N8alzb4w4URdT7+9aJBtAmw9Tbl6/PdB3haEdCMrQDBuUM+hVSA0piUZNJA2cuyk5ClVlrTgnbx0x3hmFyHeHc5XlvY+qoGrkqlES/W6xErQQEwZTO1XqfNsbpYg5YpSt8nC5L1WWCG93eraz9KlS7dLlku8oEVTjo3Vka+l2W1TTEZXBup6YNSmB8nKYibmQUXRdz1K5rV0v96/SVtBxXrpIMeRT4+XH7pVTkYwWn0BOAe9blDG4XFDW3K0d565aQZdI0pCNoMxwBorQhIqSdY81kPEMF5ckpbm52XPZRy42G7zVRGcx2uJsi20b+t0GDMLvNUrW1gLONvIZF5HGpGUlK2idFWyjFjpLUQVqMqdWQviRWz2RKyfbIJp7YwwlJfb7W9pr0e9PWTFPiaLF8BVRaOfIswREFSPvgdxY0u1UxqJPevwcCbOg+IoCbw0GXTuZhkalilMTr4c0PJwUx6d7sNJqUomQxchmrAXdSZOpdpJPRmljFSRZE602eGOE1hSFdKExOGPPB+dlnhnaDlXgeDwSjhNLiGTdgBGZltEaSj6bryDjvaZE0fQWqynJnGO5tXVCPamvT60RUmFNkVzEZJcX0SoaU++1lFhDEFyqlX1MFi3ptJ6QcKcAq4ImqiLPuC0Yb89Ss1IQ/GnVRut6EM2Kc5PKGAkhKRnWlKuUonbMk0Rea+3OOLEYo7CxjyMu+fM6eAqasdUolsuKQqg+oGX9O6EnixjmnDMYY5nnQIwrBUnEE5nFPb+Jks9aO1sDNvL5fiu5cPKdnJsPzqGqFG6eZ4xxKKuwRbjJFk2pEeoGQ44ymUFb2r7j5uaGtGZ2bSM+i1K73GuS5Mh6j5700CVEcl5oneNy0wESjhKWSOszm7bl42To88yXcU9ehcp1mmbLhECTUpYDHIg8857H4/51mu7Wao4lRlRMaCVEk6IUKsm6GrVG54IzjmIswX49COJPfZ+f4M/8KvBvAT9QSv1m/dp/jBTH/41S6t8F/hj41+r/+58Q/NvvIwi4f+cf+x3KKTlHpA2pZLRKlJzQMeKMxZQPhwgA5HBgDSOH4xtSmAnznjUJxkcrByRiEPfpqUCDjFWKTXfJ0G6xpkUhEaUZTcwJm8EYyS8X815bCzBFKgljNTFnKTKQkRsKHl8NPNz19F6DauibWky4FuM8uSjJRLcGXxc0kAWk6zpMmoTtqA1WKdbpSNCykFkjA0J70vbVbqc4wqVIVrUL1LRexj36xKJcMFYJuzePxBBYT1KFVjbP3sroqxQYp5lf/af/Gm9eveS3fuPv8fuf/SHfetjzcNczz+9x3ouhRxtM0wo1uqw1mQ5M7ST0bXMuWIGzGa5teoxzLFla/M57SjBk0/JmVSQ/8OhnfonHl5e82t9SjKbRBf/oIdP0jrDM/PCHP+TFF8/5xV/6izjfUoo5dx5jjLUL1qGsZq4ylLZt2Ww2/M7v/x4Pr67Z7STPfrydgcx2uyXEldvbW4bGng1a3vuaoJaZ5xGTYTt07Pc3oAvxcKR3De7RQ7KB3aMLpqL56vPnhCBF2BICS40EVdrR9h2/9E/9Co8ePeJ7P/cJw9DQtJp3717x2WefEsZbrq93FK0Y9yM5R5x3UOoB6+v4b3A2oQL1WFZxZipx39yrciEb6SBHJePESEKfWKun0W2RZTiRpXvSeGKRyNTW+XogUewGidpdKDRWzCLUp67UNEmrpfhNKZ67AdYYSh17kwszCmM4I9Wstej5w63kV69vuLj0bLc7bDdw+egZy7hnPryXjThHtu1AXEdCjEK1AOZ5RPvmHCkdkxxsT6PT0yYVQqCEiHOWxlhUkUI55QxLIqaILaC0Ik4BFGeslBhnGgiBmIIUVVkKvVNqZOOtoCCVkuRFyd7FZDnIa61Zc6Iskewcq1ZcXT8AP9APl6A9bXuNtg3KroQg0qHOWcK00FQjnlYVzUY1ElXOaowTOSWcbUi68kRrkWyMYSwRu92gC9iqJWWV53g9sbhrsljTyBRG+M+FRUPvF2IuUjQqi/GiOUy68PTb3+anv/c99Pv3TMcvefzwkmW+wVLwpsf1lkfffIoZPKYzGKvo24YwjkzHkevLS1S2jLcLyibicSVR2A09bdvS2oZQIkGvFKswukEXxTGs+LiAEu6yysIVX1TCPGqZxoXnX37F+r6glKPxA8ZlxiUzpYWIApdYYiBnkQpprXHOnwsmVYBZzJrb7fa81h/mCd92hGXmME50jWeJC84JfSNEKd6S9udDktWajddYoziUIoV4VKJnR4rJZC1GlapzF4qN0lowZN7TeMvQdUzLzO1xT5pXXD8w9B3JG/o88NXzF2zbnkdPHlJi4TCNPH/zihig2wyweNHm51SfTYNJC84oLJp4nJhIFN9KUa9ExqjqHqDzKUU3g84oE1kWjXYyFnfOoWNCe+kkL8t0ZrTnqMi+4JvASqRURjVeU4Ks98YaSvX9iPTQcXl5yVEdWWsCnjMa5wU/9+bLl4zjjDKaod/w4MEDxnHkeDyijeZwGAFN23SoRrTCRgkaLYSFeZ7Z7XbntcJaS6hGPeM11hrBLIYkHWhnIWbm40LOE6uBth14+OAxIS6gAmFN3O7f4pyv+xq820vUdEYmUbaRLANQjEcx8KItqZIhtLXSXXYO3zaEtRDmkdkqfGNwjWXTdyRjKCrh+hYVYV3UeZ8bx5FpmrDW4v2OdZlwtiNkxfH2yHZzwTyuNNbR+Za0Llj7hzx68IDtxYa3N560LryZE1o7fvWbTwgfaf6vlwufHt5zk1dsY/HWEOcJplkmWRW7uc6RmD5cJHuruZ1ncgHbtOT1yDgtqEQ9XMl/pRRsSJAkzEopw/L/JwKulPJ3+PEGw/3rr33gzxfg3/+JXwHIkSqL+UhrLdgXJTos604Ssq+XW6zzK4maXm9Y4sSaJlyS06bIGup4Q14goCk0KOtoWnC+oM1Ju1ZY1pWmbdEo8ipO7N6KgeIUZ2mUFb4jd51kreQN7YeWxjvUMlHWEdtsMAZYV3F2eyeT25JQXtBH03QklyDji1xjdYnMKVC8YnCaGFca69HasC5SNIQUUEr0SqYI3N0qhW8b1hSJGNqhgSWQipaOBwXtLJ1d8KqyEY0hE1nGGt+oR5xTJL1w+fSCn/rzv4h/eMEf/M4PeLmubFrP4y7j/SVxGjFlRBPxymG0wxlDDKIrq0HRUDXe1kpnZfEaZ0TXq3DQPKDxiS9vVm6UZ7e5xjc7ot5R8owqif6656gSw+6KaZr4/PlXvD684PFHX/H06VM2Xgo0qxXzNKJVz7RWwoC1LOtI3xqylrHTzXiLaTzWW3Qnk4SQF1KKWG1IypJUYZyONFmjTUMIkaY4Yl6wpvBgNzDvb3HF8eL1V9yOo+j+uoaPHjzmutswHo7c7m9QOfH8/S1riuz6joePLtjffMnD646d1zQmMR3es9n0vP7yDc41KN1j3YZQZnzrIBuZaJQsfFD94cdTEYFTRLQhJwS4XhRRK5xXws/VEZBuljae/TSijKWvLnlAMEz3OsdKJ3KZMTQo41C1+y5GuxrxXWZKTMwx0TWtEE9Krp3LiFGKQTuShpgSeENxhjxFwT+ukULBaksmE0MhDR/Wkv2dX/sB/8a//q8wTW/59rNHvBzfU6KghnJK5GViORRSlAPZfDyITs84nC3E44HNsGVRjjk1lKJ4d3uD957NsCOFjDOtdNCKIIfmciSaADljlSXFAsWy6IgtCmctaYnSYQkZ7y3ZGYIxlCxUG5sixhpUNoQomu2AxZRIZ5zIv1LEAGqNPHj0GJNX1mVkYx6S/IDSG2yzBWtJeSZFhyoaYwqogPYBq8UEuKaMN0IMKkVCLAAiM2uKtJuBNC9nzV7X9yIHy47iREKQ14gy8gxlCtpLUZyWCWcskzNYnemUQScIYyZtFLYIJziXQJgzOjqaXkxT3/+rf4Xf+l//F8JNi8maC98QiqK0istdi+lbms4SygIqc8TQ0LBmCSY43h7BLLTa8dWNFDzbx5d4bxjDkZQirpXwEOvAWIM5FKzfCkd+mhj6joOZCOtCs93itztejm+4+WJmBkw30DWamBeWMjEeRqgBGNrDlEsdxdfpWH0sjZaIaaeqjnKNknpXJAGzcRpD4pCFqKSNkUNNzBgVpVua5H5yToKo+gBLzBzXJHzmolnHiU3fM423FArOWSkMnGg2Q7mhxEJUGwnUaWQvTOvCmJNEF7sGbVsOhwOdd3itudh0mPYZ7/a3vD0ceLZ5yLEmlbaDyJOiS4ihJ3PVX/F4tyPOK7f79xymtzS+ISphIJcoBzPRjyY2XYdWEwZFmhZ039L2nUxslBhtD+MRpQxq0xNzZl0Sm6GnNJ5xWnBxOft6VFYsy4I3GmMCqhSW5Uh7uaVZC69evcRsGnzTEozm4uqaeZ4ZjxP7/R5rFynUbSuyixyJcWEOM43pcbrQtXIgunz0QCLC8yIyq+xwTYOuExijPYoabtIYIlqwm21HayoacF1Ywoy2lfzge7JzHN4uUBJDU6fZRYzCtmJhxS/TSKe894QQCetC5yzRCc50jScTs6PZOvLxhI+Vg8o6RYZdR6aaP5U8n8ZqttuOGGdilINGTDekmM4Ni+QNc1rAZFYNRjsmAq29IKdA31ty1hz2li4YwnRDjJH24prv9oZdmDg4zT45bvKGoDLq8BbfXcqBQ0ua8MZ9uEG6H29AFeZZQl9a31Tud5EIdTJWy+cwxYpstQXjHdXR+hNdfyYS9xRKeIe5yEgMxNFeCgHRuzn99ULr28MLYozM60I6Ce7ryCbmfBbaawWlGIzxdO3AMAxc7ixD12ONaFkb79Hl1J3NtP6kZ1kw5k4feWZFcp6eYBU0Foa2QVc3snOOthPdllUAd6EaMl415GSgOCiQotAHUBmFIQThB86z9P7WIEB+yLjG4o0/Z5vfl6uEEMh1FDfPM3pZsTajtZPuAnCcI6YVVu4JfdNWfe6p23vS6G6vLvik/zmur69Zjge+fP6Cz9+8xKPwuufBZocumaUsGFWYSyabBdN1lBDOr+2MgwPUCuhCOzxiLY6X7yJfjRO7B0/4+OOfZXv1iG6zISzvGTZilJrnCdBcPXhEe9zz7Ok3efXiOf/P//l3efb4Cd//1b9MO/SUDGMM5HWhRTqoMZ3Gf4Z5PvLRk2fc3Nww7Q/SYe7FUAeIkYvlPIpTShbedZ6rpls+3/F45HA4UErh5f4Vb8d3ondUijJLd26ab2k2PeP7yG53yc8/fcrr16/52Z/5Llprrq+u+Pg736LZeWIYubjYMo4jn376Kf32Iw637wnxgFOGZZ6rscpQspii7k/k7l8xLaClIyCyBjGR5BNLNGhKETycjgmdCjoJF5WihDteNfcid6gLa2WHKlFnkFG05m4acrqKLiIfqAt6Ugh66jTeNPqs36TcY5LXRErdVCNZNbqaStf40PV3f+P3+Nlf+AF//nuPeH3zmmEYeDcemQ5HfEpihFsPFO8kjrxEUii1ilZsfEteFtZlIRmZipyeWH/zcgAAIABJREFU0XkZKyM4Ya3GOmGZG6VxTU9ZJdI8rxGlcj1ASzdcqYQ2Be9gWQPaiUGuKEVJUQonBU7rqlOGEhdM1dAqU5hnSZa83uzAe5S3GGuJKsl65T2lHk5STmgl048YVkqK5DWhnBzAfdcAirlulKVSLDrrsRSmqtG3tQNznlLVYJmiCpGMqpB+MS8GrDGY+jnr6MBqFgS9pqznOI1CC1lnumEQU26M2Ci82z/3i/8k0+ef8tnf/wwdArYzdMMF/uKSrm3RTkbVTVaYUHBkdKPYbDa8/fIlNzc3WBTvj2IwfXB1xWbT410hM1epQGGeZdrWNNKcWPejeDvaBu89Tx407A8j725GcjE83l7w+Od2vHj9njGMqLjijEwZLi+vOAZF5+U+vX1/g7cOb51IGE5rvDhWRb+uDYNriCVUxrGkinrn+PjqGW8PR5YUmOo94JTFWEdWheOaUSYLijE5YtEY75lDwJbKPU+JrhtkD1hnGhWky6y17DHZoK3FeYPyiEGxhg4d55VwOIhkR0tyWYuCdSU7i3eOXT/w5fs3WC2afo9C50I5zKga9PTFuy9YxyPPrq/Z7Ta4Vu6LNaw0Tcti5VDcGIcqBpfA9wPOWpqm4fb9DbOeudr2cpjOmSeXYjw9zAtd73BKMy9Hul6x3XhSnWqEKtFom0bWyWJIEfb7ifh+ZdyP7C42aOV59eqdTFytxjUtO98QQmJ/e2Reo6S7Zpksnv5t1iQHxJJZdRJNrzW0vUxqYowY59jtdlX/ulbqhdQXRumzmddYhdYO4628/+OBcRzpuobh6krWzBDP2Mimbe/2UWPOUopSVDWXOyjL3TrqHG39Ozln3r59y8OHD9HAeLhlWsVgHd++A6MZtpt6n0hAlLGGy6sd+9sj6zqzJgirSD9TiDTNTogaYWEKYrLUypFmCGFlZmG7fUBjFcnCPGqW40Q6vudxd8HV45ZP9wdeHFduingtlNkRKRAjoU4Z9ddscE3TVcleqFQSaWFKcq8QkU6SwM1mQymF4zQSl8xu92FK0oeuPyNFsvR2iyoorYRCEas+Mt2zIn/NtYaxaoGgKHGIlnuxsKcbS/RUDmc7mqaXWEdfF5As46tSEkrVEUlJZ32rPHydvBQtp1VOGr4scikFOC1mqpKki+erXierO71YqdGVonW2NRRCKMilZEo18RRlUVpOcW0zVOJGrn9ORtDK6DNp4LSpgxS5ujrWE+LqlD8oCDhtBQOn7onaBb+lf0zzfPp9KvJDbndX9N2Wptny5ssNr158zu00SgCLLjQkdhe9RIcmS8orJZy6nlmMJLVw8rYn5cy6Wuakeb/A0XZ88+lH7B4+wruWJSwoVprWolbNWg14RYFrOh49eoRF8eUf/RGvXr3hy+cvePLsKbfLRLcdCCky0OK0ASPmwBQiJSTmOLLpet6/uyWkRYgMMTFnGVcZdcdWdk4YlaVKNmKQg8qyCpc5psScV5Z15RRxmlLhzduXuEaKhGcffZPN9oLj7Tuct2y2A6UUnj17ytXVJVmnysZMvH79mqxgjommRJY1YFxXpT4SSX4ejnzNoTiTIFdaREY0o/oUfyppUCXXn4l6gDEGq805uRA4F7qnAliKvFKNoXf3yd1zVr9YaTKn91ApKiLprvg6dSVKHR/rGnGsUecAE1SWol0r7tSZP34l4NPPn/PP/OXvktORYmsypNbopFBJCllVn/cUpWOiCqi6iaWUsMqd32NbpSIlih48UyjFEWOuKXoy1o45k0Imh1NcsOCYxESfSDGSVca5QWgQWTrLOUln1SokEU1Vwk1IrCmg3CnqVlIgU5EgnRAjpcnVhGMlEUyJlraq1Mk5ir4wy9KWYkA1DaZqkEOIIts63Sv3Dzf3DrTnNSVHYk7kmFjDKkFHBYl/1dB4T6sUJRdSEIxmdBpdZNy7jjOmJLQqNC1oZ8EW4jpRSubBgwfsHjxksA0O0EZhmlZwdEBv5R4yJYvkI4OqB+6T5GxNiaIahm3Ldjeci8Z+MwC5jnBXclxJWuOaBuUcKURCDMxhxRSPM5bGWkLIhHni9NaIdlKfaQnLKuauFTF1uiqLKSmTVUZVKoWyEsqdQoAUcU0r1KZ1wjhPypmkYdqLMdIZi1Klyn8iSrlqiM6EVH0cJdXAH8u6LFWyU6O5tUPSYoWuIJMkW82gikg8ezW05kzSMBrWGMgxylpYLCZGQsoc9wfWGDDOc/XwAS+/eIE1mosH18RlxZJw1mFbYT+/399ikzCebXNH1FFKMy+T8JDbBp1zTcnMuNoJbvtOTK+qoETej8pB7sFlRNmeYbdBqUZQeVqzVHb86VJKSDwYjalmY4rcz8fjESg0vqtUo7FKvkRbfIqjvz3eN3ILJclmQ4pJeO9WYfzdfilGV8665FOBd39PXurErWka4E7frAvnTvhJ5rXZbIhrINTAIXUmE91lDyzzUnXhnBNsT5rkc2x2JV1p70SrWwpt2wuGElUL4+o50ZqmlTVaYbBWzIl6Aa8c8xR5f7hFqWpSLUUyJzLis8mJPMuzmcJMyQFnFV0n/PqyRsiBXq8o53nWw7xEDnGhWI9yHSlO5/dTKTFBf+hal3heo4oquLpf6wzUOOrTHnMivpzWt/vr3T/u+jNRJFMycR1JVdRuixY8jNIYLCfU1tddglwCsDWiUjSE5825mgKNbtlurhn6LW3by+lLzZSoiOsqUc5xBaOJUaKOT2+sbxq0cihMLQzqIlNfg5I9Hms0Os0UDK4VUX6MkUSpgSQOXw1EzmhCUXcGs3rzxxKJMWNsRmmBpaMzKQVSRZJpZQlJXPgnRNnJlLaEyBqDEDW0xliD21ygk6Tv4TpM09JsL3H9lmLcueAKf0Ikb2rAgzOCt1LVYDTstvS773H9jW8R48qbl6/Y395w8/orXh1XvC6ixVaey8312TxQ/QYAfLkUpimyn9/Tbq/45s/8EzzdDTx9+g0Z4ZXMtut5f3NzRmWdXt/hcBQHvnN89MknfOeTn+L169f85v/7A8w//G2+/yt/iZKkIzwdZ5KXblFIkf1+D2SaRg49T548YRxHXn718ryAhZS4XRcaLbHUGtmQbN1QZiLWeZSWg1TbCSB/WsS8djyOxFVij7WxNJ3n4voR0zRxcbHl4mKLc/K9drsN6zoTl8yj6wf84Ld+m//j134N+/AZ02TIaSGmwpQhOSdaxApjRwmq8ENXyuKaTykRizxbymicLYJdWyNJJcZ5orOmOknuHbJaGcnHIAayLLUA7scUzXKdFp37BywxvRSMqYUMBeuNsFerXtwY2VTPh2HEsa6RA6+qhaY2CqUyLR82XFxtHL/+936T/+jf+zdZbl/y2We/Q5ynOsUBkFF4QTS56zIRYxTDZGuZp7EGH2SSUXT9TgI+UkSphDERqxqsgZhEU+ysFFTOa+aQMEZTivxcMU0YbfHesK4JrTQ5LSwxsYSI1dJtLCaCzSQC3tXDFQlCJIWMcY7OSJy1No7jcaLZW3rfEI4H+kfPsI0nJ10RmqckKyWThgJzLGRSNevVzn59v40WJo8cPouMiqs56T5SUjlDWFYxFyuNtpp5nERWEKJ07eqGVg7vOKiEbzqs72jaLRmY15XOWqZpobMt6xJxehXKxZPHPPr4O/yoeJJW+MsWf7kla4P1BkGdyWeoirCkUxTjnjKadui5vb1Fbyw//+d+mutdTwx75jCzrGJga5xDW5iWQFwSsLDpe6w23C4jaM0yzeSSMFYOlkYlDlPD7QH288qiGtAt79685mY/8egb32GeFkouXGx3p4eBkhLKOvGraEtB1m9FIYaJZmhQJaKVZJWKPrwiGLWqz7dFIYc1q6m4uJFlWXA40IWu0fS9pbGGbaOE6auhpEJpHSprVFF47VniRCqF3bChlMTtzTvEg5cIYWFzseOy75nKKFK9NYHV9H2Pdp7DNIIy7MeJq6srFIIp01rTWoeuOt3L7Y4YFnKcQcnfV0qxrIWSFYdqlj4cEp1zXO8umOKCKnA4HLi8vERpzXp4L/SmriFMI6pkHm8bCol3724AGDoxVA/DILLBxstYfV3ohxZTMXknA/uwuTyvV/M8C4bRt9UoKL6eZZFu9PX1NeM4ngEAOWdSSCjt8K5F24KyuWIfpcly2jueP3+OtZbdbouvfoBSCjGtzEtkmiaGYSOHbAqcQsBKYZombqaJ3W6HNYZcMxGWylZXKFSVpG42G2LMP+b5EVLU3UG3lMLNzQ3D9TXdMDAdjkzHI6oUmtbRuE725+OI8Q5bkWvaCOVp2LS0bUO36ZinxNs3NyilOYwLu77jcLhlf3PDxXbLZtuTU+Fi22PDSEiyB+6MoTEtnfMsa2JZjlhWfuXjBzzcLNz+6Mi4RlbdsBZpNjjrz530D1+nQLL6s2vQuhCWSNc39dBR6V5Vr940zRm995NefyaKZDnRCkdSSA1yglQnAkIxFJav/fslVy2SMrVrErFw3tgLcirxvsUawaooJa53KXrvClRxBpt6CjTnTvKJL5pF/UEpkYK8gbkab1VG0ti0xIAaFKeYbV0pEtbeMVhd20gqTsl17C2sROM0MUfhiRrEsZ0n+QYkQfQYw6lEPzvx62WMkY5LPWVZ58A2GOexriErTzFGFvHTz2okDer8magf79iVEEXPagULVUxhDStt32DNFus6tlcj04NL3rz8imkaWdOKzombd+MZb3efCa26AT0MXF8NDBeXPPzGN0BlrOb83qe4opSlFNk0TF0wTogq45xoI71leHTN9s0l0zTx1Vdf8VN9j7aFmFIF+dvzzzavK9Y3lCRjHd82dM3daKoo6nj2FP0qBe2Ja72uK8saOR5uOB6PlFi4fbdnOsiiPS3SSbCuxRgjHW9rsTly9eSRnM6VYrvdchz35BJ5sO0wyvP67ZdkHDQ9rXOMr24hFZZShGWcChSPUhJNXr6GHZyTGFRPDu9cMiUXdE6Yk8NaKYpSrDnhgGJ1LRYFP1YoRMSNb4ymGC1O6j/R0P2xbsq9+/DkXi4pU0pGYBL5PIo+FeWl3EkzKKWa7YQ4cCZvaOBrIkr7ruF4E/i9H/4e3/vkG3KPWYtyFl2Eex0QBCNZEcNKWCWiNjph5Up3cKEdthhrWVeRtlhXaQGrYOaMkWdc5UIOiRRXUgo4LWlyKFBa1odU3ffWOdYongThpsu0KGuZCIQU0TmAVoQko8scI0pnMRCnQlgCQS2YPNB6j1P63LEqpdxRGwokpQmqeixCxFpNjoUYJfhHJShkoq6bqbMYKzKtVt9JLU4br0pF+O8FqPKdWBGAUBMgEVrIOr6VQ9b1NU3TiPm5Ni66imtyMYpLf1nJC7it58k3nrEqS3EGu91g+5acI13nhRddoFhPyQqcPP++ylec9/R9T7MbsC6xhiPealrTno2gOefKYPUojTzDWczi4u9IBCJYfe7iGmNoty3qeCDkwAKEajT33pw3cKXu1vUTFzdWgkRyJ1Z0HYjmLEFMWpNTxHrpshnrhHFLwaFFBlECTgmFyHhHjCtGFXlWgbxO2KbB5hWdoFEFqwxJSaD7kuXwq8pdR1P2wo5hWMk50rb+nP5nc6YBmXAqJaa5XDDO01jHmjI6Q9N4YhK2sLUWVTJd1eKmlMTE6CsxKArRIxeLVp5NP4hEI6wy2SuZ1ols0BnL4SgkFlOAmPFWmh2awq5vyUC8XQgp1YNMYZmO2IpiK0ZJM8cUsooUFBaLMw2uMXdY0LCcu41U3GuImWU9sobEsNmcJ4hAfSbl4DjmVYy6XoKXtNVnGWVTG0mn2kHkFjJVcPWQnxNM0yR7nDFYI3z6E+lmXms6sNKcRhmnDvOpm3wySp9wfyllco36VuaubjlNQpdlofPSUNNNQ0mZlO6KUPFGyNpPlXA4d6p7AiGOKG3Y7noOe/ncU5F6qc7IxZeBJhWFdR1rDKRkMSZhdD2QEBjnGRUzWi9sGk2jhTB0mlifrru67E9fxliM0VBRcOr8dXPeU1Tdx081B/VzOclKf5Lrz0SRXJSQHhwCIicHVIpokygsonv7GgwIyGhRrrsTR9aCXSuITkY7zzBcYfyG7HpMo1F6wZQRZy3BBEoHgSRjCwMxKYoWSPq8BJx17HYbGgc5OTyZEDMZi86Z3iWGwdCkwKbvmcuIMh6rMk5ZGqNxtaumlOL2MGFqeBnOkGLEK0sXRIRejCZqSObuIYlRHsR26Kt73LDMAd9quqYl5YzxGwZXsI0F47i8fMphDVw8+ZiEIxYpNr27RhWLjkGMhWi0uisk7+uvnbHngt8aTwyZztqa7qjZbgc2mw3Lowc8/fi7LPPM7Zt3kDNzlAS7pmnOTMMQArbZnTu3zjls0+IU5Hi3CByPR5TKTMej6M6nSW7+sJIpeCeBJm3TcHV5ybeffoOcM7/x93+dH/7wt/nkk09wdUOd3s+0XUM/NHRdI+lqzvH2RjByw65nmQMl10I4LxzXhWVdGJqOcRxp6uf31esvidPCfBz54sVziVpVPe/nFd86VONI88LTyydcXF6SdOYf/O4Pudnf8p2QubjYYkxiNYrl9kjqt/zR6y/YXj3kwaPv8Ms/f4krv89bO/Hrn//fhCWi/I4QNY0aIJxi2x2nQIM/9VygCQBaV3lQRsVCSJqgMtaJPi4kSUksGCKKXDsvXgtpoqgojmwiMS00ekvJFZJfhcmnw8P9ItmphuiqTMFaGc3FFZUzRmtZ4ICViOucJIGlWEetCuU7lCooK8/4HBYKH+4qXF9f0/mGv/7X/yv+pX/2r/Arf/Vj9re3TDlzeDvhYsQD1hRynNFBXNBLVJRxIgH9zmMag3WJEG9IaZJjaDGQM9NxoW1bTNtKN1NZnPHM4UAkEUrGGUfjHe0UWOcVTSGOM77XaL2hAYzOpLSS9QolkqkkknVmrZG/uoYQrMvMNC6YokXWE+DJmGkiBP2ejZFE0qWsbFuFi45JCdfdFXGnr+uMKp61QAqSdpZzpPGeNc9QEp2pRf8S0PPCPsxEZDNx1qJii8mWXCLHaZTVVolu0SRY5okU9picef/qKwiZNhkyDrUZZN1SgqUL8QApsx2uCKODJcKw//+Ye5MeS7Irz+937mRmb3D3GHImi0ySNTWqijX0JEostRpSo6W1tNBCgBbSqjf6BNq1vkEBDelbqFcCSlpIra5mV7EGFlWcyUwmyRwiI8Kn92y4kxbn2nMPZiTBTQO0BDOJQHjEe2bX7j3nf/4Dn3n7dd743G9wdf2E17/w2zx58lMe7x9we31g2G40Rr4okBHzCG6D6QN2GHBm4ktvfQ4/WLb7DZfPn2FTYrfbISZTpTLGpMVis960xXJzfY21QucNEmdyEqo3uK1jqgvFRKZyQzg3bG3g+dMjSxK2vceUwtWzJ7jdGbkUOjtoEd7dWXfVWplTwjrD0O+Jy0QOG2IeieOo/OJ5wiDciKHzGpGe06LIeYkQdYoxOAeup+aiosCqBbUpGS+GeRwVRKharPR9jy9gjFDqQs5Jfb6XI8ucsUbovDoaifdMUXMJJBhkKgzBcDk3fv2YmGPk7OyMbd/O6Wo4VBjnmY5ElsIrD8/Vlq9WvChiHcejFnB+INtMh8H0HXbbY4wwlZleHM56FZcXg7cdMU/Kk44HNl4UDRZH3/c83ilQoYEqBqxOnZb5FoDNbiCVmRo1uvqwRLbbheDOiKUyxQXj2xTl2JrNJlALrmNZFm6ur0/TLrvyy/uOFCvH4xFjPdNtZrvdk0rB4bm6UnHa/uFArY5aAlTLMqk9mt05fKfneMktGsb2OGsoJZKSCg7PdmuCYOOuO8dm00I/nBbcU1w4HLXZCo0Dr3u6WsOVnLk56BnX7TpsCNwcrqFWgkij6bX72OwIBajjgrMBGwySYOMH8ANX10/wbuDRI4MNlel4xjTesNkNVLmgVmEpBmTmsn2u/dmWGGf2DPhgOZRIsQVndyxTZrdZ+OKb5/zWx8/48VXmu3XLWRmoxjLmiHGGWF5e+6lPsj3VRiJCzBnfW8SoA9nh9oCInDjIJWVsBLN8On33569fiSJZndk0+IDGOTNWfSPUdzffK4Q/ed3fkE5X0cS3unZaRn2LqUWdNIoByY3Ppi9Ijgmb7wvz1v/qwe+C1wNfGuem5FPQgqDm7s5oks5K8/h5X2O4644UAa7kxtdVNEh9WNXYs2KNRtbWZhUXBg2zMOKoZcH4u8S+k11VXfDNl9eK+kJbr168zvV46XBikUFT98Tf77w+yfm8/x3WzlitdVZ0QponrOBKxXhFAer5GZRKX8Kpm7PW0rWoy1pc24DsyVsXZ07JRiuSJVJOPK/1ilFRt77vT2buzjmG5vH5pS99ie9+97t873vf44tvf159Tg9HpsORN996gyQqkFw3IgDfYnRX+y/vPelG0aTQdxwOB8bY1MLOI64JZbqemGbysvD4Ys+UIzlVdg8f89abn2VaZr75zb/l3ffeJ5XMxdkV0zSx3wXiuFAzHI8TZXzO/nrks2//DucPHvP+B0/wRq3nximy7TZt07+3zEsjnb7kijhMXe6ekVGv2izx9CxPvLn2zzp9ICvPthZwxmNYN19zWqvalTcEuVnM3V89KadGswBNXnsJb/ne+lp/ttbm7tyQgLvi+24K8fPXfByZ58j1swPf/e47/MOvvM2m25D8gc12z3I8koFgV0pCZkmFUjXK1w0az+zkzqGDoh4PuQl41s+5jjbneW6RrQ4RwzyWRuHwp/uqqZorgpfVpqnhLkhhaHG2y7JQG89wTS0UNG1sjYbd9D0YT82RuGjymFQVbtrGJ8z37tf9d3ndc2JUf1PnTAsoso2moYeqIpXt4AwqZsspISykrA5EXbBUgekQiYsi4U4gpcwyT/p5vDv5Uqekvq/SJnE5V+ZxwZUZU5JS3FBHlMdvf5b4k5nryxtsQYMNhl5pAaZ5y0sLXBG1NwshMDUf6PPzc7rQsdvtWI4HfW6uPc+qPqwpqb/5INLQ/kwSfaZLE4B539E5WOZLegzF9EjnuQqCkcRxiVQjGOfUEqxZc94XTdWqaHLoXBO6QYqi4lWva9lbhzW10fXUqtCK2slhoJYFMaIR8OvDNNImfwI1scSMs4Wu7yi1IXlSmFIiOA3M8M7gglIXnRd0cJlApE2ihJIbIucs4gwxZbqhf4EOGJwjlYWyZAyVbd+x1Mh4daTmxNR7ghf1cm9NsO0HbM5E46mNDqmBU6r/6bsNluZjXmAaIzlN9J1ybE1duD3cajP3OGCaWHReZrretzQ+ixgIVp0QYkoYK83f2CBFEet5ihgLtTa+f8lYu6bd5hf2pXXyeTctUOtKY2yzA3Ug6uDknDkJ7NRvvyCSaWF5NC00Ja9gQsW6Jg62zY2hCkYczgXmZVGqnrlDqJdF6U4OvS8hBNK4vPCurxzomJvHdNtP53nGrxzfUjTcyRhCsysUa07nc5zuzlnbrNg0RVXrjs12IFM53ias8W2fVppQrXo/ld+Nfh8rHMZZ1603eGPwfaKKkGOCZebhbsezY4SbierviRtFqPnl55tzaotruavZDHd79fr51/utP6MATP0Fbmmf+Ht+6d/5H/ISoKQmOylqx9YKkLhM1FqIy/LpP37vMDghn7TYSePxvsP4QDCVyojkCItoFHWoBLdGOGpBYAmUkjEmawFNBSwSDG5Qy6paM0tRxK0k9ZfY9J0asQe1R/Ji8d5jWwzlKdykjQNU5KOcz3Vs6r1nWb1jqXToQ43BqJVaKqRq6YcN27ChLkdtAqwjTkrwf/jGHus9Ty9HrN0SSyDsHuKGx9huwPVbSsrckshGECt41Icz108uyLXAvW+knrOGpGReLHa69jyNt3Q7pS+43J8OjvU+5JyhjRzvrnISRd3nuJaSOB6PJ+N3UK6U9Y79/lxjVb3HWX8q8n7n934XYww//OEP+bu/+zbDMPD25z5LjDPvff8dqjPsW3dprW5wl8+e0nUDcakka/FBx6bGGLKBuWaO80QVGGxPrAulVB48eMCSZvZeeD4VbqfEs5uRZ1c3vPfeX6oxuni2u89zfXvgBz94n+ur53z+7TcYpyPjcULE8vSpItr7R2/x5S9/mT/6o9/iybsf8PQP/oAffPgB771zza5smUVT0XKu5NagvOzKFUK1TWCqxXSlUmSNMJc2GeiQkhGselwbR8mJNLb77BwUdWAQKwgZqop+TvZzGVXGcke7MLmcilzbxoSphd+szzbnTLUqMnEY3CoiES0mnDdYUYqUkUwqn2J3V9XD9enH1/zp177D3/vN1/nqH38F81hIux1XJOJxYjzcINWwOTvHxMTz24nbKfHGo1cQazE1k9RKFSO2caW1iNk3DjtLE/LlTAG6zRbrKjWoZ3rXDVwuT1Qn0Dl8ybi+hxyhZqypgDphuOxxWLqgf/bqdZ5kaU1tYLvriUti1wf1Ga4qtsyxUmPEhoiTQkYFUNb0L4x7a9WUResdN4dbDMLjBxdawEkPNbIsN8T5yM3lU27EI1K52O3YbwJPnlzxzjvv8NprrxJCYOhVWHb18S3LfKBgkZq5fPIRtzfPCWZhvznTtLNug6kd3qYWX18pGdJhZhyP7IaJWK6I04Yqe/7Bf/vP+cE3/obrv/gar+3V5jE7oZYJGyPVKqfQoWNo7zzDMJCWmfPzc0rKHJcDwzDgBUXhsDhrCZ3DChwOkUqmikb+5qwiOBs6XDxyc3tgnDWu19sHpDGy3B4Y54xUYeg2RHPE9R1u6zg2VybXikIxlVLT6f8byepgIoINQt85smgYh0FTCI2o20nOgNUEVqmQgya5Ge+JOWsAiDUcJqUX9N5xczxgN1vmMVIK7HZnEPSVvEozeZ7onePRfs/QDbiukFNqU7NyEkMbVVxh3Rmjg1QqSSJIxaoGDpsWthvLXAu1FDzgCzx49TVyUpFZjRA2PfMUQQo1z+QqZKchVaFzII7nz2+otbLdbtlsfaMNqOCarOQ1AAAgAElEQVRQo9fXSOqOm2UmZ/jZ+x+y3+958PAc4zzjtGBMYrPpVajo3YmD2oUOU3SarFoSjQoXkSa6fbGtX9+Vvu+VW9zAEw0WqSc3HmMqw0a1QLHxgb1XO7e+5Q3M6Yi1AesDxjm1chRIRSkMVPChxXi3sJeMo2RhTlqYz/OMtZZhGE6I9jzPXF1fY4zh7MEF+3NNw8sxtcZev8+muTmM4wil0gW1iPONljG1SWTX65+NNdAsHfv9lhgjV8cjfslstzu6EDgen2Iksjvf8PDVR1Su+OhnN9xe3zCNhS7AEq9JaWC3UwcVZyGEAYaq/s1eHX3Og6FWy/MPLlmuZ/7e4zd55Wzg2bc+4uO0kMUj2VCysJeXc4iXou/V2sSV5rFv7YqJQ9eagPVMGvpe66lfwEz4+etXokgWKmZFkVtueympRSfqAi2fwruEl4uG4EXEVozGHuI0KUtqhaojRuUHaq69KoHlFMIgjbNXMsQ4s9kMiHBKCisnJA2gYKwiArFkvBNN6mtIby3ppOZfP18pd93r+iKob3C7shrCe6+crCJgnCNhqaY2RNNhvD+FPgTfk40mB7kK4rQwNqFHfK9UFFOxTQG6qnLXz7Be9zmJ910KrLXt5V5dK2pDMGj2Wi/yU73XAnuzUSXySf27KM98bR5q0WCK9e86FVH1RXcFNez3uOCVwhE80nhZtnGuCpXPvf159udn/OXXvs6Tpx+Rlontdsubr7/GOE/qOlA0GCOmyBJ1UyrFtlAWYbPtGceRw+GGmGaWZWKOC9t+T3COBxeP1OPSez5+8lM+vIo8u5r4/rs/xXvPK69+BpEFwRHHEbE9NU1Mc+X6ZmacJi4vLykZbqaMkPmzP/9z5jTzz/7zf4ocM48+vuBA4fmTmW62jGnGNDhZP+fLxWwhH6nSteenApNSE5gXJxwr4nmXUKiHvRHHaksIYIM2Yzl/MtLzhYJsXUNGTs4rp7XDPaSW9WBanV4aytI+Uy2x8f/X9WRPn+0Tl63ElNhsAvNx4bvfeZcv//7fJww9s4zYruc4LeRUsFI0YCZmPr45EsKAWK8OMKlSU1WkqSp6V0s9TYXur9dVC2CtJnE651h7BuubiBgwzjfnCUUuMar0B06JWWuzaLWrwFpPKVo0m9ZsC9oMOKeozzTrwStYjbM2lXLvXb6PAK6NuTriqGVZpk1qqOSkKVerQOh8v1Nq2KJuB947QnAs84HpODOEQF5uMS4AjpiSio+sZRongh+IOeFTQoomiC4sjIuCFB4Bv5BLoppKKoVaFzavPOTxG29yY5X/Wk1Wm8tUT3ulbd9vGAZcs9Z68OBB4xnq3tL7wJgiLAsp5dOkqWZFGEPwxGVU/UM10M6KruuYp8zz56oBqRjoPXmxTRze6EipghEGG4hLPMV9r8hVag4RwzBQplt1PCoqlOxDSweslRjVrQgxqBNY1plM0TPRBKvoV1tjpbb3NCZ1QXeW0hJdrVErsXWdllypbQRdUiQApm7pNlso0vQ4kZi0YOi8BlCkrLoXvR9enUyyfl9b9Tl4ZyixsMSIQfctizCnQqkFtg7nFDFe5kqm4HqHcR21LPd4tMornqZJxeqiNCZnjHLnASsad2+cMMZFE/GKCnuxBrGWVDVFc47NVarT4i9XoeSiwntnMKkokl/WwulFmtj9c+7+vnYf3NJ3qmpDUw3G3O15JxSz3k23Y1bhrEIakI2CFTkpeGFlneAJtSbmeaLvnFI6msvFurbu27oty4LfBmgJjuvnlVYErsJbUJoBRqgtpMZ3QZvWlHBdwJq7CWEIAeeabiPG01rOqSBBHaKMszx69RWOt2qryLTgRJvxeVb3HN2323PtAqUWNt5jnAAKDF1cnHFYJqbjgQddT18OOHGI8SwFSk5025f7JK/fbdWy6Plyx2E+TfNQq0OtA+upVvtlr1+JIlnrKh39pJQwJZ868RKbV+8voJDcLzJPCAqCH3qsCxgfELFEHM4aKoWYK1YqMY1QQkvnE7zx6ispqhFyTmkfKRU2tTL4cLpptcKcUVJ+Lc0bNasataroSO1V9IBcX7JV7aoq+Ho6xNaXMTRR2iruWZEgL47txR5cx5KbnZkLSinxAdv1StAnUMVw8eYFzm/pHz+i25zT7bckrHrA9o6LGtpGov6qsSHZwOmFWRHutZteLVVqG12ebLra96lBkdzOGDp0g00t8MJU3ZycVL23Vkd5U7tXAHTdaby8FtOlFPp+owhbSoQQ2HqPdY7NsNV8du9aGlFq3O2EcZbHjx/zj/7JVznc3PDtb36Tj5894wc/+hGffeN1fvaTnyLW8ODxI/q+5zAeuL28IQRFA463ieINx+mo/pYxcuY8xVg+fOd7TNPCx8+PvP/xM47FEA8HbkaLuC1vvPU7UCJPrg+klNlsNLzm4tEZ9dBTsuf51TP6Tc/1lMi5tnRE+Ddf/wv+3V/9BbVz/Cf/6I/5yuaP+NwH7/PAbfj6X31LC82qgs45FaXnvORa0moZWDBSwBak3BWy+t4JgkcaslVa0yjOK9WgPX/nHNkUclmwLe61FDjFXpvAGnAiqAgFh8bU1kood3QgeNFezATHOI5Yo1y7OC+tYVVLxpzWcZ46urzsMsFS08Irr11Qp8if/+07TPKv+ef/1R+y6QDxBL+hnhdqikp4MIVuGHj1jc9qAeCCCkWdkJaEFEW1ahMaTkXXlumDiuqsHt4QFZGUQk4Lx/FAv9sT50VH2c4yR+X9VtMEOsZTSUgT3y2tUKlCE0ca9SS9R08JDz0+BEpzqMGfc6yGTTaQBVc8Bsucl0YdWNooWJvHmBLOKzIZc6IKLBKVN11hwVDDllIOxGXh+tlTls4hJfLWW59hGm/54fe/x/HyYy4enLHrd5oG5gNlyVASUiuPH72B63rGskA6clZ6nO+ZbWKJB9VAxEQyH2B4hdA9ZFkK232FseOzr3yBj1//DNdP3uNzj3qCzdxMlozQWYd3AWlUqdzU8zW3aVMc9V0+HCglEYae5TieGo6SVLC1elhXo3SvtEQag4jtpmfTLUwxMi0H5mKwDjaDZaFwmCZuDwdKNRSrBTnOMMaZUu4oXDkPlNLTu2YLt8wUqSxzwbuO0AW1mSxKhbKyYH2gpkxZZlwIBKutla0Fby2x0avCdk+pFW88w3agzJHdmcWYDpF8Wjvb7cDGqZDclKJr+BBbQIlS+UpWzn8Vp2JzV/DVYWqlFn1/q1SqqdzOM6Z6fFXqwdDv1WoSpdbcNpvAm+sD9B4RcC4gVJYlUeOIt1pwnp8/aGe7IcrYCkwILiMU+s5hTGW36xg2j5jTzNnZnmVZuB0n5Sh7BYgQbWjv6DhNsGg1SrkaYZwX+jCczrHbmyM+WDbDhZ4t86IC87nRirq+NfR3CPN0HCk1avhWMTqNywvzLISgzhree2V1Gi2QqYnqpDX56qLhfUepMC+VMh3xXp+j7YxOJPKdXeaKKMfYeL77ve7vJzpbPe0dpVEP5hwxFTYbtWPNMTHmREJBuu12q/vOfMRWj1hzSqfLomMD8ZUUI8+ubzDmwH7YYd1ALSPHw8z52WcwX3SkJXG8HTkejgTvGIYeUArJskzEODM/LyCJ7o2H+L6no8MajzwIdMlzM4+IT/ze5x9x+NFTbtOCtVvUuunl55sJjeKUdbLaOY2cRlbP+IJb10NoZ1iOJzH1L3v9ShTJjZSs/ymFXCIlr0jkaqv0i2077qsgRZSzZZzFNhSzGkMuYBo30rJ6xzZPzuZp6VqiXar3PPga0qU2aBo16owlVuVbmuabXErRolHkhDDDvXGA3HX591E3Y4x62LaX10pDtk1Lwjv9fMbEgrWVfjMgRsc4pMahdcpfLTZgO8ew21PEgfMn9LCgHGpnLfWYmi0Hp6nTz3OSfx4dvG81w4n/2OJujSVZPWk0N13vRwitAWict/W+alFW7t17h7g7L8dVnZubN/H6GUIIbIZB41bV4+eOv2yFmBJD31OnmVwzZxfnnF2c0wfPkw8/4m//5q+4urzk6bNnAFxeXrLZ79ifb1mWxNDrhpjLxHRscd9z5NmzZ+ryYQw/+d43OR4WnlxFDrHSPXhEmivd5gG3h8g0FXZDx7CxjONIioVYMsFUnO3p+4HLY2HnAohFTItrdpaYCs8Pka//zTfYnT3iK3//D8nLwsevPOPBK3vGDydqNhQppJxeUAPfv+ZicLK6KSgHTwzUGoHVuUV/r2mo57oea62kogmTYvTQqUJTrpv2HGnCPY20LnLn9IJw8tis3HHyatug7hfJtnHhhHtrDDn5LN81wQYrL0fNC5WuC9gEeMPlCH/3re/yH3/119kN51qEdAPJVGqaSMeRioZRhL5jHCecqyw54ZpHtNzTJBijUfWr5+h9DmBc5oZiqiBORNHnVDLO6BQom4jUOyqJMetYeDlRkdbxaEpJHWiqvlMx5sbT18lUqYCxbPZnOi1KRcf2yVLyi/Zt960lS9H3fvUWFmn3GKEYixiHcT0hZJZ5pMYFIwOmcXqlgqVRyMQgNVNLIkdDTpFxPDIeb9lut6SUddRrLF0/UdPCtGSm6QhxJsaJ8/PakDhPXHSdygy933L+6DHz4QnBLJRpxJqgNO7a0HQsUymYWtntdkzHA96gqZ8haJhBXPB4vFPbsJzTaUKXS9SkO1Ev7GTSC3xzI0rDM64iY4JUMcWwt46u27BsVRw3Fkff9eAspnX66yg3N1cdVxQkKTliREjN99baHU7MibOeUsLiTpS2YF3TzmgQlhUD1lFogTG14G2gC4E5V46H53Sh15ROCiF0lKz769AFnNV0vWVpQTfrP2IRqaSsMelqB2moJRFjo2I0fnmhYsRT59gsDl0T9+q7vG2+xTFGUjzivQrtUi3McyKmjGmOO6DnQk6JpS6q5zGFUnQDORyusday2w343kMsxHqHjlor5FYobvqBnGsTsFWWJRKCbyCVgaphUJ3vT/vbyjku3YtF0wq0pWZTeR8gyjmDvOh/fFozxuhZ2OqQk75DLOLAOOWCr7RKY1wrVG+BzEDjzHrPeDmeEOM14Or+HgEQBtXj1FKIpVCzosta6BaWRQOPXK86prToPrlO8tbshlwLJmes9yfEWv2jp7ZOW9ZDNoileYVXcoHziz2bzUYzDaYJI5Zca+P83k2qrUBMmZubAzlGurAlhEDtCrZ68lAYa2TXa6hRyRHrlWcey8upttKmbvXe9Pr06/fOMj1XtcYrKd+5KP2S169EkVwBqREpGUjEkpjXMUGGWs2nCnYARcLQDPsQAk7URL33A7mCwSJVxQga3W4JQ4cpCZEtKXr8/oLiA0tOGGhiOc9RbjAGunBByrDfvwYWYooIHlejkr8EgoehM3SiFjhBPHFaGs0AxKl7w6omncqCt0FzTHJWPq7JBG80hUeEagQfOjAqMCxLxljD9o3P4Le7Nt7QZDg1gK+4bqPduw0EFxiGPYRAzirQkZzVyqehxjoe0jHEfU/CF8RzWb1QpapgI1NJogrSio7mRSrONG/QJmYU1xwzBEzjwt5xkwslJS1gGveqrAV5LmRj1ae4axY1dk2YM5SgCL50ghQ90KwBMfpC5yUjombo1ns67zn//Bd44423+MIXvqTCj3kmLRPvvftjPnryAT/7iSY3Xj/9FiVVOuuwXY9xFu8tcRm5+eg98nzk11xks3e84x7xYd7yfiyEzjOmSrcfGPMNx+czVrwqiVMm5EK9PZKNodv09Ic9z56PWNOR0sxCwtSCk0pn4P/52r/j33/rG/zP4X/i9379t/jd3/htJgkM3/s+P/j+j0lzRHfflxfJ266nSAtfsGopJTVTTDg1K+vYDhyd25GTYVwOuplW7dCTqONM1wgDGav2U1nDeUQEJ0r/WdkQpRTyMeNN0D4saRNcjKLX6u3ZgmFyxlehVrV/dMErfce05kp0l1jmGfMpzbLEBBFS1VFm1w/c3I78+7/8Dl/+3S/yB7/1NtPxwHLtIG25XZ7iSMzpQFwmjNED9+xsx/XtgeA8NKS4tAKgmy3jOLWJxsJuv0WkYk1HXDKuGlIyOup3yrVM06ijbmspWdH8XBIpVQ0l8tKoYJ6SVXXuqyAmNT/VmWyg2/U4W3BzYnfxCpMxZHFYM1AY8a4FAISEi66Nr9NpQkWGbb/lcHtJijPnZ1tqLaRktdiwFoZNc29ZWI7PGA+XPH2SGS4eYvozghG254/42te+TloiX/nHf8jZvuP993/E5fNneKMFRUmRrt8RDjPWP+HZ0/fZdp4hdGqlNk/EmMjZMQyfRfzCPF1ylS54+PYDpmPi8WufZ/zgPcRPJNdTplmLdWOaJWEmYLVxsuo539VE2m24OR4xCH23bQWc+mx7sc1fORHnDKZivSKfNmuIi+k8xmoBseTEqxcPuSby/NnHhFqZqtUm3DuKN0y3C8sUMV44NDpXzcqnfe3xKwAcD9cMrqfrzoh1ptsa9p0iotHA7UHdQnqER4/3ZDI3zzOdMWoFh9C3FNbOWPwmYEpmSZlSbhjoeXjmyOXi1AzVhlqKdQRvyOXIclQEU0TFjF2vk7zj8YBIwLfCIeYWkEPFGEWDvdECLgBTvKXbbvC+YzxGchViC1Ea+o60RI3+HjZ6hgRD7zuMzUzjwjwljimy25/jg+FyeUZtAVfWGmwTd5G1aDsebprNnNJVnBWWWTn5YPCuYxkLGCHFhHHNYcQ6rPVEIpTI4HpSmRtVL/DQP1LdU56aviM3bq4h5YxZi1+E3Divw3ZDjJHDYSHlI+fn5wz+IRofW1ugh8WHLYVKqQs2BKVpWsN0UGvB4/HYCmVDv9VieJpmikAInm5jyGWhCwFnBpZl4eNnTzk7O2PYdByniTkewWiDPbgeQmGzGZSXH2fYQJojl9c3ej/cXZPuQq/hN8VRc2ZOBUEb/CL6Xr3y2qtM00SM6s8dUVBu0/X4ztGFW1IeuHjrjMXNvPv9I2IC1WTSMpPizCZ4OufZemFJAnlhnjNVPAVBZkiSkJ2lK4XfiJV3H3Tky8jzmrC956a9Hz9/+aq2oRk1fZjKogDjErGd13cdbRJDDZgCsSTEKjf9l71+ZYrkJSUkJ1KJxJJJ0bSuxjcU8hf8vDOIMXSho/OBvu8py6zK7ApV88QI1ZCtoVoVYc0k0m4PD84wuy2ETtXOKRK6Hoy5Q8AEclk4O7vAO1HPUTRNpqJFQQiK5G6qKBnfgQ1ex7NG+YfZVJxowbJxgeNq0G+t8oobMoro4YlI40UWEEd1PdkO1LqFsiWfnWE3WvD41nmalqJkm0evCT1OI9WQNjq/z0m9f61UitVh4uST2pCpFSUpAjXXU+epRbKOko01yuVef3ZNwjHmhb9DDd7DPW6nVb9YJ9hgsVnIVjQxTYSu17CUnCPFyOl+k8spIW5Vq8Odr6RpNBcRdcPofFB+2+FIqYm33nqLUhLjzQ2ZyuE4KnvMCH23a2rziIm3/Ogbf8aTD3+GfPdvqNMNs9+CHXh2mCnBsd90IMI0FnKrGGOMkEtTPbeYUStst1tCcFAiDuGw3BJLE+MZjy/nvBq3/C9/8r/yD/74P+J//K//G/6z8kU+O/T8H3Hi/atb3v/ZNTZ9iqhVIqFFoW68w1WBlJnNHWUGNC1tSVGtiFdeZpl07CsvulbYewp+Z+/y7/K9KcGKugR7h7hSiyLS8qKLSs755B4BOpGw7c9djeJzmYBC6O/4ti/5su3fOtnYPwjITeZP/8/v88MfPOUf/ss/wPaWFA+kKbJ9uCdFmJ87Lg8jwzDoeLkhk9VUDeWwWqRY45kP14TgTp81+E55g2LIuRBL1XGft0isKnAsFYs9OZCEEKi1jU6tcJ9Deoea6yibokjQsBkIocfuBqRaNhcXzMPA8OAhi1XUziKE5Egpk7OOV6Uq+misYegClMptTkgt5Gmh1EQsOm1zzmGN4fr2SMZi+zMun1+TloXx6SX+VWE/DJw9fsA//spXePrhR3zn299mu92yTCOpUTuOtwe2j85x9hJvPLvdhpoXvCu89vqrbYJX2Gx7nj2/wpn3OO7O6YbClCPj8XWM65nLQrHq/EMpdJ2upTku5JLZ9J3ScHLU8XQIlOwR0SjfDATnsSJMozpuZF/pnFcqD+CK0VRCseTOkm2hIri+4+zBBfZ25Hic6LoN+/2uWXF1pHHGXU4UA/vNwFEC2XjO+nBHV0uZ22ls+5CmIVKEDse2eHKLK645U9cJhXc8ef8DnBPOz86QKsRJAZBYK2RFyZ13useiSGQuiWNO9M42MZr6c6eUgUyK5fTullIYNs19pb05XdA9ojZ3h3xv0jPnA65FFsdlwtjAsNtyOByY5xFjdX1tturSIqU2hNcTJ53SjmniyIITFU/2nacKzDmRshZ2UozyxYsKHJ0BlopIofpMzI1OUAURx3Y/nBr8WhOpKHcZYyiiEcWHecK5RK132h+TAtMy67pNUIrgvAYV+c7hgVkqxMpySCc0GYTb40i37cmlkopniZWbA0SXcR4QQ9cHbfDV11Hv57ic6H/BdVhlYFKyTsxtgRA6rDMsZeF4HOk6hzFo6E/RPIDPfOYzzPPMccx0w56KY4kjlXLiF5f2DEOvPsh9bykhkJYFmtC+lKwWuwg2eGp1SrdprimHg1JfNpsdzgVSKoTQayPRCvwue7xV97BXHj7AGMOTD56TDpHOOESiUjiMWi5WawjdgPUqiJxzAudwXadhZ27C5sRDb/jiccuzq6dcY7iNlbDZvXTHX6Z4YhuUolaj2VTEt6hxY08Teozy8+dFJ8Glfoq25SXXr0SRDC0XvSRKSY1SvY4JdSGXX2DZYY0S/Z1RKyaD2gOtlxZnmjzUfoBMUgDOBazvMI2SgKjtlfFOhQ3oiMLUSkqxWYN1LPPUalnlLFHvQj2MWUc0zbLKqNefo6hIxOlh7kVO4zblKQp96MApqnoyOgeqWIrx2O2WfveQfneGdT3Rt83JWny/1eK3pBPdpBpHpjYxoqLFq+FXqWsR+6JY7z6CvF7rCOrOzBwtqhB92cxdIazUCLU/WA/9++Kh9c8/hZ20oh0glbvPVK3BrcW1rMV9pVZzoo/cH7mo+Ouu+L8vNBR0BL6qYPvQaVa9VEpMzPPI5CzBGHCOXGGaZy2SrIUcybXSD4HdrifuPUUm8s3InK3ySKuartc2LoU7GzSp6xpXCkNJitL2oSP22v1P2VKyjkGLGGqmocyJb37rO3zvR+/wlbc+z+vLIz772utk+YjLjw8sn+IjKUaT8oxYpGgoz32B5v37pGPJ1pytz1o04lMaUm3RicOJA3evyTJG2kSh8S1qVStHEd2YGxpsT2vi7nMUyolLVysncZ40gYz+ekGKtIS4T161Sjv42+d3QrcZqDcL7/3kOe+8+4QvfelN+t2R25Rw4il1wW82pFGtojIqug1e45VF6r3GD0W4vG/K8wLGItZR4qJr3KiWIRWaEEb7RCNo+h2r1eN9Mezde3f3Lop+91VI3OhIMWsgT6og1qHnp1IOKC2MpSg9yDvHMo/EGHn48KFyblF3BBFw3lCThi+tURdSYV4ih9sjO2/YXzzm/Z+8Q84zDx7vON4m6PJJGOt8x9Nnl1xfXmFEua1WLFc3E0LEYUmxYGSh7wzPn13Te4fzFucKt1NEuGKOlcemoxZLWmY63zHOR428Lkk9s20LOGl0thyTkuYqWOep62QqJoZhIMfE1IRPwTpteurCnCI1a1JfrSqmwxpcCIitLONCLrrPd13H4TCq2Kc9qJVu41zS+180LRExOjUpBSdCskLKLfWV2uJ7K65W+ljINeOsxdpAlzPGOOZpwllh2w8MLnA8jkqxAEzVtTmNIzVF+mBbyqruD3OOdBWsVSRThWWRUis5lmaP2es0sjXI1RiEgkPdK6rTdFH1H25WhKmcitFSCl3wp7WqIRmmNQb3bExFEwNL06ushbzvtBnLMRJ8IJOgCEPX62QlW0pSoZjv+sb31+9dS0GsIaWMc3eNup6ROo3UPaTgMM1+sLYpvGp7fPBgjdLmGpVv/Xy1rtQJSKm08BNtGFYQq7Z9ppTVxUKdgMQYMBrRnGsLEGoWbL5z0OLRf96uU3nrmY3f4lzBicW77lRDGKONS6atVyNUY7BeT/FlWVZSgz4DsUxpVBHtolOkUvXsMc7iuqAUSFH6nK5MwbRENGOt/k80xOz66pZaq054M1hnWA0VlqUyjQYfhNoAqt1ux81yg6n51JxDC1Ox61mvk45VWmKMoe89Y56BjLPC5958yIdXkfc/KIw5EXn5nl9iAqvhVzox0t/n3B0oJiInVyzVaaS7mu2XvH4liuRaNTOemtEoaKHVlhiTkaIo7qddO6s8o8EpkmoTlHZTUlb3AmMMUSqpHaS26kG2dVv2/R5vfItbdWTJpJxbIdjU37bipTAMA+fnD7i5fh9rpamyFeHyLbJ4vsczdGIgZaQUiq2IOFW7x0SOGWfu4pZFhP12x23S4gyRpqiGsQ6YsOHi9bfo948wuw1qVh4xjRO8WnMpWlXR2YoWSlNEU5CMIZg7keBaLP08F/k+6qvPSIvaEILe15ZSKNKK5CbW8sZpdKxV549cy6k5uY8YqxexPf0Z0JwarGDE0htNxDHICZE2BpZFUaGTm4XVg3LtoMu9dKSXXdZaHaUbTgVLFUX8h63y6foCWNc2mVagjNfUxbI7f4VlTuRXHuI2jg9ixo63EIVDEbpZ7XgQTzGuJc1VRbuNwaAIeKUgS8UZeHh2zrbrMbe+ITQHap64uZl49mDDl177NZ4/e86/+pP/jfgv/nt++/wt/tPf+X0+986P6efChzfXvPuS7+rsKiCyHEvRwxN0vG8M0g55BJw4jA2kGJnbpiKtyDVVC+S1aCsNDU4p6eQDIKeTldbqFqMNgfrTppJf4Ma+sPacbqa11NPURikzsT2zDgSWKTUh7SevdfJhT3xiod8ObKUIsScAACAASURBVM8jt7dH/uRf/Wv+y3/2X/BPv/oFvDvj+Yc/xmy2+NpRXac0lFJO6U2mFExVLl2qBXKl2+h4mqrCliXpWNu7jpSX1tAaxiVyPuz03jd6lDMWTGl8wtLe0aKojkjjjEvjO1tIk6reEZZpJi2Zh+dbnPN0YcBtzqFY5jTj19jblLGo4DFGdWJZG9bD5SUAaZoInUNyopRMcB0SAnNScW1G2O0fsusDNc/82f/7b7E1cRwvefz4VX52+SO+9/0fNh6gZTxOzIs6HTx98pScM7sH5xrR6zyXt5Fhox71H18V0nhk03c4hGuTefTAM3SXvP32A9547U3C7TXddschjixoXLK1noq+21IzporGFIcNzlRC15Gd5XhIDFbRc+sc47ywLDPn2wHfOY4I8zjBvECpjLlgqS09USBrVM0yz6QpUXLGB+Hq8si8jCCV43hLqoaLVx4yzQvpmEizNobn252Kjb0n5cxhGvU9MLCkypGCNwqO2Djjba+JsE0ce3FxRicZcmK8uUas0yS6nJUn31lqykDBWaF3Fu8dIwW6DpMjYjSox1iLdR1JKsWZxv1WQKKYjK1qf2dKJRWLF8vSuLaaNtimm9KRS+bmEOn7QC6WzjvOztxpsng4XFGLUge8rUzzyHG84eHDh7oPF0dsAvx5irzycI9IZTCWcU589PFzjN+oDWyMTc8z0Q2+8VkV8c9LJgx7jIGUVcS2aYhynFJL6hVcUB70uNS7yWepiA9IyRgbWGJh41WYN81Jo79dIM0JWvqmGwreJ01UrW2eFiuSwXcF68HaTGHGeatNcFZBempQQi3SHFjaeSR3qbNdC/6Yj4lxrFxeX4FV8XboO7U0JCpQZOE4ahLnZqdn8FITOVmmlIkUvHN02x1uiToFM4YUddLShY7b40EBE2uQNd2uOvou6JRbVHjd9/1JNH84HLDWstlsmkjQkpdKzZnx9kDZFNwghOA4u7hgOiz4GMnLrG4n86S1UC5UZ3CoZ7UpQl0SMk5UwNFjXaFK4cH5wu/9+mP+v5/8lGo6nn9KPeuMw4hhqTpmsMHjvGeP0vmQivXKmV9y45cX9KypLz9HXvr3/NK/8z/opWgj3Inuaoms9ZF2YZ9e+ftW0PShbSjGnkbdd8VgberPE21SCxZjCbIm6tgTUroWmQJq43YqylQgpx+2norY9bMDTCnS+3CPD6gqS2vvCsUM6jRg7rryF5HYOxTUGEPxe/rdnt3FA2y/AW8xYrEptc9llPBeSrufTXBU0VFDvRMard+R/El0/j7p/eQUUu/Ee6dfa2EtnyiuVySvAYoakyunInvt3uHO6BvurHNMo5isFA0rhpr1YFif54oen5BtU1t08cuvVcSk4LbRsdayqH2cdc1fsZ6SsnLSxictkTmqUTyl4KxSWKp47byxDFYYJOFz1nAZlI+9emqunWxdxYcrXcGsogI95L11HJsNW67Nnq7CTz78GW+cPebXHr3Bt3/6bf7NN/+aN3//AW+dPyI9mnjvlQ+J7uVTltwUzmrAdCducD/3fPV+gjVWE8c+RdRw4q7fwZ+nX18N+e+vYaKckP17UQgvrhfThEmnCcWLQRgqXtNYylru7Ok+8YyzfhwRtDd0orHSJvH41Qf84Mcf8W//7G/5oy+/xcV2QKxl6PoWCQ7UO7u6lCK96OeSitowAr7zTJPGjt9/R0MIsEDO4z3x4t26pvnnds25hXuN0jyPp99Xy7oPFLy0ePmyjpgFby2mWuI8IzljjMVQ7/aIpMlyzjlub29P1JmTL7k0MV/SNZmWiO0Dtq7C4LuJTjWGZx9f8fDxI3zNfPDBOwy+53B9xdXVVVszPSkVnj69ZJ4jOaodZLc0i7DgSXnBVYvBITYQ85EU296232L9wBIT73/4FOd6Lj73ay+soztBrjmhf6uwudxbfwAxV3rTwh2M0QChcWSeJsT2iL83XRQBZ0l5RpIweOWMlqKNRWpWcnmJGBNOAqA4jSxFWOrIvERSNXjrEes4Xt1oxP2gSXK9V/rFmCaqKM85i06JhhAaIm9aZLE/7bVD12E2Gw7TfKIuWVHevwRF+iCpN27KLDkiQ2jvfD4BG9ZaqlQsjhS1YHTeq0amgjdCSQtljpSaKOVuPdcmVnXWKyKdZ2oVDeNAfaBFhGEYiHEhLRrf7HvP9lFPuBVyngENURERxmmiZEPvYdh4slRiUveVLEopNNbggxY/sRZ1vPEWmmgujiMhaDS8GO6ckJYMRsMx1J3H4qtFQ0MscUnUAnOcTgK4dd2Mx5kQKnjbbBBbcErwGqwyT6fn4JqIL84TKUeGoeOYbsANGGPZGMGFjtB5tbBdIimVk2DP+LtzaqUD2k2Hc4Z6VHH3OB4pCLtd29RMa6KLcH19DbeV/X5H6Aw2aGMWpxljUFReHDZpsX+/hljdsoy17ZxqCL2stUET92eIMTMMA7UeOR4nhmFLaUDlScRYEt1m0HWchVz0vBycBoysQkdj9AxPNZNbzLUUpWTWmFjKjPQB6z1LjWy2nlfNnt79jGgsxPmle/7pe5UWv91qNJ+rcsrXs+FEIPANnOBEQfplrl+NIrlUxKuJv6mCTWCMVbVmStT6Cx3gsMOAcZ7JOvUpLoJ4PTG9d6xehs5a+obagNNIUFspLe7SVMgYijM4oxZBzu0a1zURb2DXb3j9jUc8ef4R19eTep4uBlcFiQYnHmzGBBq9omJEO1lbHAFDWpLympzVpKoKYXdG8B23EcSF5rxR8Zs9xfY8/syXCP0ed/Y5iuj4X0gY49A4YcNcjBYUbcxl2gjbiUOkqaNLZVnTC0tplWzjXtdKfcEEH9qEnTs3BN1svbGtgFHCxan4bkEqxhiNsxWBEk+Fl2luCVL10HfGqnDMGO2Gc8W6FwtpalDepWgMdY6JpTQBWCzNzqm9fK3pcKfRkPpu68Gq1JlUFEkhFUVy1uKxqY1T85g0RlOqnHPkZSHFmSIJG+Aw32Ikc9FnXj9z/N11ZJ8NEx6xAy6Lii2tFozFl1NxX2NGqmlWgAXj1a7w1d7zYL/nyYeGm/HIYZmQw8Jff+ebvPLa67z5xpv86P/+a/7l1/+Sf/Hf/Q/8xm++zW8ycfbkjP/9Je/Fttswj0dKMaQlgkkYmzClp1ZLLaZRggK1RHIWHD1xyaQ4ktvmU0VItZCSonnO6YgLEfXltSoIcS5Q0qINgRGmNkYuteC8pdRKKo1OsW7MVcgxU0ul850WqY031tWgVI2YVNDSWZx7+U6w2w4n1EhEwEGcZ7bDRgVZBv76W9/gT/+vPV/96h+xe/wK4+GI63uSWK6fP1OBXc2YnBEL4gOlIdRiDeU4sw8Dc12IVv3WDcqHD95SW2yzD57DdGQZJ4btVi2YcmYpSfUSSZXj1TXf6JN7RvNR98q7x2phZIKmAS7TzG7nEb+j274KzjexVSHlEekCRQw3t9eM40ipLRkTwfmqokMyuI4pVmKqhMMComt8mUbltIrn9njLYbzl9bde5/HDc+J4yTf++ju8+9MPuZ4zj159xEfv/5g4LyekczvsGDYddthQqCzHAzZYTNiwsT11GCjVchBh53uW6cC1O9ING9796Uf88Ec/4aF9zK+99UX8ea/2ZAvUTaEzBmwLZGr3vA+WIp6ldITQ07uZKaIHdq5sOsswbEnTLTFmrAR6KjfLkbQsXPQB77S4i+moYAMz1ak4bpoWpDp2W8/1obAshdCdITkzTkdMhse7h4TNlmkZOU4TVQyTmcnF6HlSInUphAK9M3gHwhEKOiFISSPhl8ztfAM1smx7LJZaDf3WEXqHjxpgE3qPDYGSE7Um5qzUBKrHBnWKWWbdv5wTBuuZiXS9ZeMGJBeef3hFFwz7jaWSSS6TC8wpE8QyGMdhnihOw66CM+Sslpt9v8Nkg5QjMR3x1vHo/IxnV0dsgcPhwG3WvW6/2+IMSIxsvGVztmFcIkIhLhmsozM90VZyFa7nSZtmHyg503tLTZq4umvhGNfTzJIing5THdOUEPEMnQMrmM5igucQR0zViWatGeON2ti5nmWesdYxjWopit2QixBTJRfhMOoUZ0wGbx19pyiqQ6jE0+je2MC8VHr/gDKrj/yzJ8+w9orHr76Gc4FcVFhvfUJE1VHedeRYubk8kFLi4mwDxdHvAi5nzh5uSUvicLg5objVGKREzs63pJiZ5wTR0PsZVxMmgNiFQxy1UZrV0jOIZ14KkDg/e6hOGWIpos2Z5ERZ8wraOdh3G4Y+0Heex4/O/3/q3uTHui098/qtdjenieZr8t7rbCrTduKyZWOsKqlKAiwkBDOkkoCyqkoMPAQZIQbUhH+ACQMkBgiYMCvPAIFAKrAsykW5Glsuy05npjOdmb7t10bEaXazOgbv2uecuPndkpllbekqvhsR58TZe6+91rue92k4HvcMxzuO45Gckvg2F8s4R96+vOemaHzbsV1ZXreatw87lBP718ZLcNmbIeDElJwQJlZX18x5ZkoWXSJuitgkEd4rN0N54F/72S0/vMvsXr/bJzlUPZf1Dq+F026T8I2LgikEtAbrHNMcmVVimEZKKica61/k+MkoklkQ5MdWYyVXZ7gCZ+nQjx/aeEnLMk6EP1kDAaNFsCe1oLTxF5RL2szivZlPaDMSg52LqIPVOfQApclGuDrXNxvWva/8tQQq1RZfoWaBVPRSOMhJi+l/yEXCS4qI3kop2N6Tl1a8UVirSWSGKYhF1bZDuZZ+c41ue2wr/orzMJ0QSVPDAS4RwKWlfeb7XojwLpC6zx+PuZEXCB9nfs/SMpffM4JiG0HiP49QqgvEZ0FjLnfxl+ihtPfgkqNsrXDDJSglMWlNNmd0OmcxY1csKNyZb3uydAoBZd3JIWWxjFmoBgtqtbj2PaJqqAwqs9gILhxs7TVlXtqbkXWjiWlBMjNKaeHPWlMRsB9H3WV/ImIbpRReGazzrPoNqSiGEMkqEIaZl5+94CvvPyemwqsXB/7vf/wPoTXcvH9DVu9GV31I0KzIORNirLz+y4AYQWZLSZQsaDK6yAYzR3QRxKVQTdnL4/GhLig5C3eyKIWq9IpLfvtyzUsUz2GvqzF/TMJJPlFq9KmNqyt9anE8WWgZ7zqWZ/oSydZKCiDvYZyOHI+Rf/YHf0S7avm3/61f5uqqIU6fYfFYL5qEVhXC8Sg0kdrdccYKHzArEfDymLMvaFYgRBFZOWfIUw2+sKLaDyFg7BmJX8aYMY/topbnIaUFodc4L/7nuYiuwDQN1jene+Gck/alELqZ50CMScIkyGijaJqubmpn2RQViZEPaUYHCxjmeaLtGtqu5/VnO2KJdK2jaRxZNbx8+8DHn77CrLaMc+Fhf4QqWDbO0/adINcpkZKkkTZZUtGSVaz7FmWdhKxYyxAjTCPZWZLWjDHxe//09/nLf/1XcEUxjjPFSrjE6VnOZ5pXKRJc4Stn2zeWY7LsDzv6zstGHzCdtNUT1fM9zYQwkbOtorqzFVaORa6J6WhXPcfjyKZpaNuemI6MKZIKtM2acRSnhM47VE3BnIM4ByljxMVknlFKY+0y54qwOkURQaUk3GSlNNOcKUT0HGkbjVa52hGKFywlVcqEAeOJMdBY8Xme5kjWhaLPc3fKkagsc8w0xmF9wzSMddxaUqrIvDbMYZYkRAO52og5JU4PiwvDMkdbmyipJWcIc8L7fBIskjOxhIvuY6V4xIR1ht4acpkkqbV2WWzjUTGftCcLDU4ZJ/qOnE7+6BLYI/N4quNMa0kXVWVZ422lbhay0iL6LxpQJ6Rda9EtFQXTYcJbh+urn3UJaDQqGFIVp6MVEcQhpXaIl1S8AjStO3O9i1BOfM5oLRtQbSQgbRoD2YH3+sT/niZH0QoThO5gdEOz7sXruwhiq7QIho12NI3FZNlYeO+JURNLFPenKCi/1lo2x3aJAS8chiNt01O0ABPaCA1qmTvHURDzphVeNUrRdC1znOp8rokhMk+pUmAU07zHH8WW0HtN0xoe7hI32yvGYUDNiaZpmONZ2H1ZWwxzQKmMsYqUZO5cnI82vaUfC7q8W3NzynLI8TRXaiCbQq5Ai8WiKUxFhNgxLGFl/2JL4cvjJ6JIls6XxzrpVapcSJVjWrK0S5x3vBt0B4wFpSlaJhutDEZ3pwc3RSHwF1UwRuKMU4xEFLFoIoZU6QGqiDl3KWeVvvhmWkpjQSd+5qe/xusXn7F79Sd0BqJVeKUxLpLUiNFO2mcsoSAidDHWy0JbBPq3xhDCTEgZpxSliE+k1ZZkOnS74vorv0Cz2mJun4A2THViVVpQUFsLgkUMtFAdTs4OJ6HUpd9sLWAvLuG7hHqXxeKSRrh4Fh+Px2rjNpOzFf610WIJV5bY4wsXhIvNz6XAYynks1YYq1Epnorkhbtli2EsENJMTMIXN+7sl2uMhGssfpaXDguibD17TRtjcNax2KXkk21KPgVfqMqpLUXiiOM8EccjJR6JkzgtdP2aEmbpNqjMlbfk4sQ9pSh8BGUg6XPxd6KyZOGUpRzqNZVFwSuLbzxPn34J328JuuH164/QRpHniW9/+9v8/M//PM/il/nHv/NP+eGf/YD/5O/8Oj/7U1+Fjz/+sceibywlO9AZa6HUxSVE2cAtu+kQZ1S0ZDOidIRG+Jk6a5bkwaVldho/WorkUxGrtXAJtSLlQoiBolQNxkHiQ0upXZxyuv5GFVzXVxu688QnRUu8GKeFPEXx4X7HMRyn09g0BuYZfCNcVlTm6XNBUb77wztevvltbq83/Oq/+Vd4+/Yl8xxoVr3YyA0HlFLMU8R7jXIWVaKgc9pQ6mSvlBJ7LmPIaaaQahiMcAq7rpGEuhSJOaE7BzoJD0+Je0XRBZ3K+fmqm+glBVQpEZCCxrlGuhLtimZzhWo65jhhW4mQ1VnU89M0E0Ii1fcVz92ZmAoFhdKGgsJYhzaWh1efEsPA5voKW6K44vgi/D7Tcnd/h9GKw2Ro1tf0N0fwa6bieHs/Y4yiL2IXZubAIUZyrtJOrdAhsi4GYyfaaeb26hrXWl4ejmjVMJVMGEZyyFi34bd+5//l+de/wtd/5op+taFpWxqvmYcHREhZluYXSkkAT0wzIRa6riEmw5PnnhRG5jSgSsDpHqMNTeOwVtN0jsJMiBHXeYzRhDiTU+L5k+e8uXvgw48+5cnz97F9z6G6n4QMu91EQePdCoUnhZm7t2Ln1Rjhk+dciBgwYlOZnMZoR5jH6myTUcqyRLovdphzzrSbK6JR7McjjYKhdkea1uEbT9HUwlsoTq2zaDTrpuF+d0cqCWNAG9n8ogutNaic2B0eCCGwWq3QqjBNg1APjKVkjTGemCT8xmaFiP8Sc840jaB5u4cH1quCyh0xFIbDnq5VNN2mUngUvm+rR3RAZYsxQquYwoiyNXGtFAmEibGmFRZut2uZk0qpvF650UoppgoqhVSqOFE2zLrqWopRKCsWf4qaFJoEFKiTrqwBSYSnKMWcEq7xbKMjxpkwzSid8U0FgSaYc0B5WUvnFOkrYNA0zam+CHEiRrmP2+0aYwyH4wOjlkht3zi2qx5UpEShA03HiXXfotc94xyZDwN9L25Ub1+/pV+3XF9fA3B/f88wZK63t4SYiTFjXYNCMQYR6LmiSDFgisa5lilKl9s1+iRGRBnmlAlTFGF4TKwa6d6VKN8z1jAnSS081rVurhuUzfqK0ouuIqUoNY41vH7xGU3f8ey9n8LZxPbpLeMw4rzn7esXbFYr2TiME+vubDuqrcEZi9KZ1ru6PiaadgNToNcTaX+Pie/2xseKDkoCb8AWS46B0iq8q5ui40TImWjFYhMjHs/5X7bEPao1jVKWFDM6ldoGBxCE0hr/hUWy04pqeIBWBaMAsxTNSpA9NKbuxFXdQRajqkv7YjenMHZxa5AdY64PmTFG0Datubq64vb2Vv5mEjeNE7pBwnuPs40UeNXmrCjZ8ZZS40uVks9dLIZlcVf1dxK+v8GsrvHXz/D9huL76swwgaqFXD3/S6XvUiQvIo3l5/Dj4rzL4/OOA59Hm/XF987vvRS8tc2thdJx/r3H73EZRHJClOHMSavpUufzqK+vBbqqSGai4PWZ4rEUUoIOnAVhp3O5QDyXny0xnEuhXorwwZRSIppc+FpBBDwpSWhLCBLTa4wjaFG6NxZWzrELYidUssbJ0KWoVBe0i2tRk9yI5lQUgqpCCoMyDttCu16zSTfs7l6jVGE4HHlzt+fZ+oZte8vuxZE//qPvcP0r77bISV7BUTxlVY2IRjmUEiXxct9TmslTItqA0rO0q7IWR5DPof6nYv8dY+mEGiuqXdPjroQsZjU0ZymSL/j+y/1Y3BzyRWRrSSLq+AK6NKI6h5QiIIVpTA2lSHpn08jCGoCHQ+RPvvsjfukXf4H19oo3h5cYK3ZBIuw9Jw1qZDNqdA1MqeNz+Rha69PmTMZr1VdUdEQ0AQprHSFMjzs05JMoFcopKEPGuTrdsyWONikwzqN9W72xhX88748QZ7F9Kgs/+xxONM8zdw9S/Pd9j3aWWEMZVE4YLLpkdMns9veYOGOsp2lXDA8ObTzet9Vy0XKMEZtgSgWnNaFobK4x16kQQkJbQ9YWkwUh1UDajxj2uDFwmEfW2rBuutpFa3AKDiXzww8/4pvffIppWprOYVVmKud5+IwkS3RzLsIjtVqRUqBtHKpErBa7vfk44xqPKYpcJAbbOUOotlELqmi0ZoiiVdAYPv3oY7rNFfM0EtBMYxABqhHf95AD0zAIFSBJB1ApsbzSlU5VrGIfjozjyKpr8c4xh70UsMh8b6wEXDHGOu40DQZvLI0WBDzmjMqR1lisEhQyxEn46Uqx6hR9u6p0M4lAzjnjNLWjCiEndGNRS7BKkfjpUtHecYho4+h6Rx4HKWSzjKXGShETqKEoJLQRGlOMmVLdL0Lt2l12MZvG46ymDBMZRarRyEZDKkUcH7RQshZwwliLNedUxcY3YulaN+aH/ZGUF99nRcwRFSrwwYJGpyqmN1gr65Gr3bFcCiEnSlI8Wa8YhsIUBpkji65R9DJn2QVRV5YYJlQu4ghiDFZ7rNNM03ha37q+ASuOEMMwkSuqXUhs+g3ea8ZxZK6bnW694Xg8MgyTbK615/5+x2q1qXHqVag3RYyzgLxeVW/0k8g+UbuYtROrCtYKbSeTaV3PMAyMw4S2FqsM2crcs6DtWcITL4Cm+GgOd07CvlIVpHvXsz8eRKuRhU+/O0SGwxG3WpONRIl77xni2dBgOcQOFzQZ7zzTKJSz1jue3a7YvDjivqBsWdb/jNxrkWtnUpD5VmVNSJGUECpbKciMHquA7y92/EQUyQvaykWb3FlpJyrrsMbRr1ccvuD1fWsoyEA2SgzYd9UzEQDnAE2LWSppIeQbzZSy7M5yksIFUBe7jEfF4yxCtCdP3+OrX/8G9h/9M8IxQhL4XqtqG1eWgrAuHFlK7VmNOGNxXozR0zxR6gSWcmAOhTxEKI7N0w1u+5TSbEm2J1oHKaJLpORIjjKYvJGWsnb2YgE5f/alqBWbHH16oC7Pa2mpL8Xj54vk5UG8LEpDCOKTqRF03pwLoc+/fvGaXCYRX0UrMUYU1SaPQtYKq90jcZ+0TAzJipcjRgt/vLYBbXVsoJz5swvivZx7UdXyrv79HBNdc+HhW4/l+i0TRIwR4xzGalbthjhr7k0VJZoOpUToV/JIHmfZ7ChNtqBzTR0qGSF2g1JnSzxrDVrLdVyKwpiFG6h8S9v23PQr2laKhOH4wDgFvvf9H/DR9Z/zlaf/Cs9uvsZ///d+k//nW/8I/p2//WPPxSdxx1O7kXPJmZg1KRSyWSz4ZCMaq71diBEsNHaNcoowH07XZXkuTx7bF2NoKVhSroWsEvu+OI8kZ04JlSVnkl6Eesu4L9xV54XFlWVph2qtpdCui6o3lrG8m0u2tIRP3QNXSASss5RkGCbZiD790i06K/6X//P3MCXz67/+79HeH5j2O4wWIdJxGFhtr0QvkGZinPHOEKxBI04VJWaxXFvOPQWcM3jf4BvLtJ8r117GU6jPX0IEMlZp4iWV5GIDqnUd47ZBpYJWFmcb2t7ht1uwjjkkyjRxmF7z7GqD162Mn5hOoIK25uTF/OTJs0eUhVB59+tND7nw2UcfkhTYdYfrN7TdmrI2HO7uMNqzXW/IcYYcOdzvCSGLgFV7ctHMuTDHummOhawU10+upfjaDXgFuhR+9P0fkRWYvsVdPeFwfCHPsrF45bhXiY/evuH6yVP+5Du/z7NuSzyOxLrAyvwDIOdAUXTbDUolUgw0veP1q89Y9S1xiuQUaZxQreY0MY5HlBZu73CQ9vIitBQkvpBD4On1DdZ1fOf732fcTWyePGO1WnHUgWmOjOOe65sr5sEwTwprPG8Pd4QCwTms6yqdT6gI3rccdg/MBt774IaOwuEg6YrWys7o6e2KF3dHUJb3nr3H1lvC7jM2qxVmI1Hb+/2ezjc0TYfDcL3tmOfI/Zs7bLOhECqSvBR4AROX57QwU1hvVoxDpPc9pcCb+6FSehpCydw9PLD1IvBbLOAWEZb3Hud6tB7oVpY0bxn3mVhmvHeQmqqg1Rx2e3TJbPsb1us1scAYZvIo9ENtPL4o2qZj5MB0OGKVpelXjDmLB3lFbaMS9LlvGnIqjGZCKUOKhXmeWN300oHOtTuTwdhexHeqENNETAfa9prD8SgbvlXHOI7cvf5EinEkNCSEGmftFJYqhlx0KqrSqKpoLMaIM9D3Qom6u39DTGu+/jNfY54jd2/3aG3xXjoeh5387RzrJsY59seR1ntevvyMhwfFs6e3XF89YfdwPHVTqUmX4imfsNYzxyx85VLOaY6hME+DUF5UAtWANugijlrPb58zx8BufyDFxP3ugbaVz77ebip1bBbHJy0e6jnIvT8c7+nbjtWqQdGw2+0YdxM5iGvM1GBAPwAAIABJREFU3dsdtzdPsSrx7Vdv2O12rLbSYWitZ6xdOmsdc66dXqXJMZAeBp48uSWXmfv7Hd5kbtZbbtYNnnc7m4Uc8NaLmwvSKSIJ0q0ad6LeFJUpaZDumtVQLN7/S0a3EBeJSKyRgbkASrhX1jdY4/Cu/8JXz34tWWBhlohFZ5loyFReDoK6WtMzMhJJ4BqsbiilYQ6ZWCKNNrKT0g6rhduTFaDFp7mUmTwaVqtrPnjvfW5uGub9RMoQUsLaa4zuwBzEV1UlnHEYp0/RnQWFa1pKTAxTIKggFlNR0ZRCqzzRr9Gux/cr4foWcU8AqkE5zClREiRLLVALlIhS4gl9XkxkEY4xngrkSzqCrpNPqoWs0pJeuJghCMIuKUiXBfbm+gp3MLx+/VroJFkQcHtRUJ0oG1mKcIUUS1bXwqlSQjIFq2UfCGJHtiCsWmnmPOIaS0iSz744VagkanplDLq+J5V3Kx+1yA4znwsRKRgL8yxuA6cCry4AC3Ihl9qcWujzsEeh6boVw+6Bcd6j8kCaBrxtOYQZVTK4ynU3RrytF4svY1HWClKCiNhCCOSK0EQAZSVIxRgs4DD41Za4fU4pjnF6RZpGwk4Trx+IOL70pS9x93p894PRKOY3MxmwXQclE9WEypaipHCLOaNUw9RCfIiYaSYSmELEUK2kKt+1KMUUI941qCxez14bvDFy7xFXEoqI84qBkkDrhqwMSQVUFXGWJbJUW4mDnufThmG5V8vfXcadeGi/u/U2F+E2Kysom001WCEHrAKrHSkWnq5aUsgkB9/+1nfZPyiur28J3rJ7+4pSFNF6jHcchwNaKVzSuKyZV44wzTTZoLQmxIiymogSNNW0HOdMRJGSBtOic64bJFmo3dIOnkcJkWgaWSysxrqGaRqY8ixpZVphAN9lQtmh3ROa9Ya7fcCZzNPNmnSMOFMdW4Yk8cmNwuDY3w/0jce5hpjFt50itKgFacvFonWkWzUc50CcE/HtPTxvMVeW/MozJo179pTbn/oaf/bpa5QrKNtSfCKpCeVWaOfQpqVpHYcQSDEy7gbIsrEKQyAbwz5IWNTaWu6O+yoIzTxZXxOJNEXa3aVfod2Kpum4v78D7SBKgldRGrTnmDIqawlbUJZiMn12vNiPpFzoG7EOLdaRlRTvhoaoVozzTOc7VLEYLMUYwpxoTE9sIochkNTM+195yic/umOaj3jfsA6KPEna6rg74LcrkplJcZD5uoABIpkhJ2LJlAhdY7m9uSbOIx0rsJEQj5QkATsOQ8iZtVfEODLuPqXpVqxaAzbhVOZZ48iNI1vN8c1roUr0La2z9O8/Z0yB+/sDxnTVRUUzKxEuaSNz+cooxvGO1otIqmRYrbeyiYuFtoDXQh3RSdF20p6exkApwlW19kBODp0dViWaTlL05sPIupVAr22/4rMycjgMfPrZK66urmg7I4h5L0LskKWzG6aJbB1BZbIxeOdolcLMSbIPOHvpH8cDFE2/uiLGzG7/FuPBLLx/Y1FW3p8YJFbdiVOGdg37OBNyIQyBbozYGBmzQSlJniupSHpoKsRFh6NgDIF+vYIUMCWfNuXkSMyFKWRBs3VLTIbXL96iNTS+UMqE1Stat+Xl8S1ZB1bbDbv9PcrDcDzibc/z2xt2uwNKif2pcbIOhpLR1nC/H1itVqyutozTRI6Hk1vHFCfxpbeiZWk6AYHCXNA6441iJnGIB0II+JU4r8yHPbv9nugarm5ucI1njgVTDK2xeGs4jBMPDwf89YakF+qcol9tmDKM8QDGEeORtek5hLdgIIWMqmvpIURSVjWQpxOOM4ppCHSrnnmGt2+OPL3quJsi2IZ2pVmvI74M717ftGEcZxplxKnK9RQHliBzrZHYeVKGqLFaE+Yi9of4L6wnP3/8RBTJOReOg1i+aaUx1uFshzGGphHnCmO+gJcC0oqtbdvFYmur7VlsUEVFxxJR3pypE1UMYYyhsc2JxC7G4ZUWoc9oqqCfUNA0XceTZ8+5fzMQc5AQCjLjeGRrM6r2aFORNBxnLE1rcfVhTnOQXbnXzDkRY0KhiDk9EotpLTSGmNKZQ1yE+2k4m2YvXy+5xCfBFJzQ2QUhLaVwKch4JFZ7x3suBe3yHgB9X8UF1brKVPX58nsS3xtPqTeqIrrhAtW+RCMvaRbLcWkEXko5oY0pqZNP8hnJlKL6UgR2+XkvUWLxq5VW54JKL167y2ctpUh8t9ZMIUAIpCrwiRl670kuooPCakVQFmWkvUcQP2FrZHK3xp7ankrXYISsxL6uXFJh9MlOjVJom46bmyc0TUMukePxwHgY+P73f8Dz+z1f+er7zNO7J5G/9rWf5XvlE6YpEFIiF4XRLUWnGi5S7RCNpdWa2Hl0BMKIJhMQg3uswSAWYSIkyVLsW00ohVgStgpHVTmHCZj8ODxGzrGOK84c9UsO+tIFAMgqCQ2ivnfK8QtdbmIcT5xzSGjboo0i5cWtRWwLpxyx3tPdbPnRZw/8V//1/8B/+p//LQ5HcSRw2nF9vWWKA6Vv0UYsmnJIxBKx3nE8DqisaLr+1Lno+/702Z1zmBIrYlv/PuLFHVLEa7DNmjyPEMR9xlsrVCzfYYxizpqSqbHCoq+4ef4Bbn1DubrlyVe+SshiWzhNE+MoCLL3nrUTRf3u8IBSG7xz1R6rwaiWaZpEI+EsTiuGw8CLjz8ScRoKt1GkKdL6jpub94lhRh2PPHn+jF/6pV/if/s/fot2dYN1DTlnDvNMVIoyjpRh4M2dcF9t3SBvt1tWjUVZw3GaSDmDOjJNE8M4obXmz3/0MZuu5+7FJ/Tr76GKLHyfvfqU27Vnv98Jh1cbNI6MR+sZijrNZ0VlGpfp1y3aFGKJZJ0lmKUK52KMp+c8kjE5Qari4lwoWpII7+93DMeJZ0/f4/lXWl6+vme3GyBbrlcbLA1TDLx6ew91Hnrab5lj4H6YcEpjnQAAb4/37IYDzfUVVhtevPiUZiXzjeY875WQWFlH2zc8v+pxCmw2ZKsJw5E4iU+/Mx69XqOU2DzOcxKrvbZju92y3x1Pbe2cMscaGb1eN2hlaazYB+YpElIhVy9t38n9fHhzT7GKvnG8d3vFNE18Nryk67sq8hIwa8wRjfhrP7m55Xg8sr+7526+J1wFbGNZmRW7h5nXbw60nfgFy/zgTi17Yxyu9afnRwopK89XKRzGkdbKeMggVEPn0SpiXANUSkbTnEAOrTXFGh6GA2pUNXEy0yYl4q0YmSqvnUZAi6QgUkhB1py5evwKfSMSwkTrnBTi1dHHOEdjfe1gCXtqGCbulThrGSsorAhgFV0nHfIQAk0j/372/AkqzZSQaVeepBIhwO2TJwC8fPOaOM002rOrqbBN27LZbE4If9M0UENMttstIc21c7Rw+A3eG6ZpOnXclFJsbp/QX10zxcRxGEklc70R+scnn3xC68Xhou/WfLa/Yx4PdI1QSQX80vTbDTHNFCzWtaw216y3E/MQKXMml4gtiuSsuHqlQtMIONS360p56jFafJjXnWI4PNC0mifrhqv23eub9xbtHa4oSk4cDjvQCmf9iR46Lg4yrcdox7wbiMv1+gsePxFFMtSWrRIbKWckcMNYi/WNkPHNuxX8cHYrkOADQUZdkYJMccGfNIWsq6JT3B45C94MqmThNFtFobb9zbmQM9qQ0rnAvLm5oe1fsHsIoAsGdXJaAJEMLEp4sUqTz2qK4J1KyeRslELV4BGnHTgnfKVhTxMC3ljhyJ5PWK6XflwIX/57KSyX718Wn8vXRZR4yeH9POfv8/SJy/eX1psjhDO/tVxwjpfC1nyO1rC0fS/fb3nNZYF8bvEvwjsQlPwseFnCElLKLF7K79okXJ73JY2EC19nq3QVep3fI1XOorUeVMI2La7puJ9nTEzVg1bhtOEQ5fMpDNY7jC4nj1ttzIkbvXyuSzcDQDoNpcByvU3B4uk7Odf9/kFiWHUhjhOvX73g/S89ofXdjz0TAM+6DS+vH3j58m1VOjsO+1n4eUX4uUopMBatMt5YcgliFl9kYUgl11S2JZetjqfl+lQLGqse875JtWORL+6DurjP9brn/JhPv9w/pZQE+SjF5VjWXyDcWzaWC1dfLeTehbmvxCt9SqKo7LdXHIaRP//0DX/4z7/NN7/+PnmeCHFm3bXEOTMdD4QYKVpjdR1vKIpSaKcx3jDURUdU5vFiDAtSezkmi9ZYLx2PVKAYi70QsZayjEWh4hQF1jX4tpeuR7Mmaivx80j6WOObE1WqlHdxyK0g1Hmuz+PCexWdwjBPjNN0unetb8W6bA7Sru56tLayMbKGzfUVx+OR1TgSckXdUNKWR1rSU4hM00yOkvCnjYMsFKsQJV1xnAPDNHKcRlIqlFHEhta1HI4z1nju7u65ukokLSEBKklYgzIaYxyWTE5nX3sRk4rITfQSYrV4+cyfKFc5gzGkInaUqobQCIXM0XdrhkPk4eFIacA6z3rtePXyDqMU614Kzj47Zi0Wf9N4pPEdT25aDsPEPiacNqwazzzPAtaozJwSOZvTc7A8M95KAIi3SjZSFHzTMpVUN1PVVi4lnLOn885FCn+sO3m9W2tPBeg8z5Qs17cUSRzMMZNmmf9zcaANoUgnZ3O1BYTDPMwjKFhtV6dx7YwjhEKOIgp1zlJSwCihK42lCsV0AmXxTUdQmWlKhJhoWyk0C5VG1TQcpvE0n59T/wTtCymiYgCjMc6IgHie5XwqVWaK6eTyYxaNkTWUpChJXChUKSgMpqLDS5hPoab61alEqCD6xJ3NF2t4rpaUcRYB4GbVM8/xVHQuThH3dzv6VcvVdQ/oak+pKLbIOypNKZppnjDzhCZL8ekbxiggTimSdrfZbBimkZXvT8/ushk4BXMZe6pznHOM81ATGf1FJ9meQIlprtfYeVarFQ7p7A7jyO7+Aecsfd8yj1ONZheKT0m5OsNkrjZrHqYZrSxGgW96nG/ZXjd89OErYp4kVVJZ0jie5r2EwiOUPaXE/3693ZDCzP544Pamo1hN4zSb3uGJ757yK/jklYTsFCTeVCvxyZY5gdP5Z50l9VIpzP+PyvcnokgW43KPMpqm7XHGsmqv0fUmF2rq1Rcc1phqjq5RSlfuozhGqCrmA+iNtEVzUVIQa1AlCMc3gHIaVcn82bRoZaqBSEUZjEFbxXGcMdbxjZ/5JvvdyMuXfyjFnJEda2tE/FesxhRBshttJU0oZmzl5KLEK7goyAuaUDT6pOBWKC18R1t/r5RC0rKQApDPhWaM8SSC+nyBuBwLKrwMnOV7C+/0Xaj0Usxd/gdgnWW9XotVUznTFj7PVdVVQKiq4ElCbyTqW9T3Z+HTJa90Qb2VcsQo4hz5OxJFLsWUKN61ESFJyefW3FytjB45S9TP1LbtKeY61bASU+u4hW8GiCjTiOeyMoV2taadtqy21+hdYuaAVdA2ltZvaVpHwqISIpww50Jvqf/TDKBO3ZETnYAlAU8iUBUKi/AZ27Y/LXr3d6/Yh8g0T/zRd7/Nk9tn73wufvXf+Ovkf/J7PNm85Vvf+QHDNLC5vmWYjmgUjbFCFbAWS0B7Sy6aQ4yQE229bv6EOAsymDMoqkCvhvwUiXoT27GcKSnRtJZc0yhPz/ppbHC6JvM81nuxLHLV3k8X8qJKL4IGXvLVLw9RtUsEdyERmdHZkvLynoViEjo7DsedxL57x2438Ju/+b/zX/7d3yCmHU+ubvjsow/pfMO6X0thGQIpZkwNhWmM8CQPw5HDYc/19uZRp2YcR0qYHyHoshjMNN5T5sgcIto6bCsx16EkitaEKN2trl+DbShoJgzadQS7prgNN88+YFaavumYxxnrludXEebImAR5WeKjxSVACee8SPHtvFikPbzdMYyRbFtePexxbeHaOvLxSCoGrx2r6zUv3naYe4dvGj744APuHvbkY8T2PakUhnHCVi/wMWSmuYpdM7A7nNBBZY10YuJAnCeKkoLq/dvnOGN58eoV39z8HCUWdvdHnnzjy0zDHevVLWkeSWHGGTBeYbMFY8Vurdo/JgpttyKlgLHispDiOQRh+ZpzhtazBG+ZuoaM80SYI/16zThl7u/2bNcrPvrwFav+mqZdcRz2HNMgdCpTuNpe4VzDtD8yjgO7Q8A0Db52DW+9JXsjlA8F19fXTGk4WaPNFenFGhqj0CEx7me6rsV0Yj1o8GLFl+EwRnojzjgomcO0RuzIardNay2uLa0D1da5dK4gjWhkJAXSEDXCvy3SebGNo9Q0zpev3pJS4vbJNcMwcHt7Q44ZRikKY7U3nYaxWogZQizkUiOxY2CeQGsrXWGtxbUG4WvnlMnzgHP+xJNfLBxL9e++6nu0NQI4GRH7xSgBY8VIzHlThb/iXyzz6vEwst1smEthDtU9h3zi6qcwU1Ih5CBUjYKERpVCozX7EmoR7+n6Fusc+/0eoxXetSetgWxqqxWmsZQi/vCpFrtaw2rl8V4xlsg8R2LJdN2K3jfoIg5Kbw472m6F8i1eGT755DO6rsM2YgSwrEtFP45aFjRZdA7LmpmS+BFPU8A5R9suHSSZD/teHIX29zvmYUIpuL25Yu0cO3Yyd3lP0zSM08T9w56rZ8/YXq84PNxzHPY8PDwI9WM8YnRL399QdMd7X37GRx+9ZRhfkFMUG8upYDtfNyNKLPPCjOkgDok5zae47f3xiLdC9Vg1nhzeTSec5xHlPa1rUaY6BBlFzgKkperX7RtHKFJnNLWjpdS7C+93HT8RRTIgu0TrsL6lsQ7rxA5F2qT/YimiMeYcoKEkjzxqRTTqjO4W0EkI+UmJYpiSRQUc04kXWEoRGxErvKBHBZ8CbY08GMay3m64ur3COTBFCXKU46mdMgcDRgRqUWm8PxdwC/nfKEXW6pQ7fkaVlkJRUIclJShVjnHV0AtC+TmEdHmfRwv0Owrmz3OHH7f9Ob3n5fcu/73sSq0Vu7dTm3xBE+vvp7L8/7JIyb2y5SJRS50RlWUCWN7rMkXqkhZSskx6ghoKerjYki2/+270+PH/y3tnicD+sUNDRaNKdUJRF57Hxii8c1itsMpjtKVoQRwTCaUX72ZO52+MfXRdLz/T6fNiWFxMFBKOsurXTNuJHGam+chcMuM08XL38I7PDbl1fOXpezgcn37yitf5gXF6oBRxcjDKkpENlyLirCZFU1FXhVucSnKp6CyoIhZvSslidYqqXmgWblmsfrxDUC7GhtIX46hEqCh+KeWMrhlFUaXyaQve+UcF9+WxeHSLL3qiaEGIUqV8GCeX3yuHVgmtMm1nmSbNbhfxXUc79czhIM9FTDStJ5HIKqGMp+SJFAutc2e0VT32N9ZaMwwDjTH1fssHzlkU3DlOwo01BmM82gvNIqWCcYpSQj13h+1aQlEU59BNSypOBHVabMbmYZaggihWY00jtAynZGHU1hBiJKRMyAHnxLYq1jRHBVjTYF1H9hG/1mTtSLWYzSWS5glrWxmHWhNy4v333+fl6+9gioFYY5xTwtkGikSEx5QwWuhmsum1JFiiUwgpU2IkFSnwp2kipJlQ4Of+8jd5+fIVm36D9T05BUoOaOUoOqJ0IavHqvulm5hipihL0WC9hShC59PTfAIjxEFJJYnjlQaFRAjPOTOHIM+5URASm9Waec5MKWPbhmRBW01OmVDtsKy1GJ8gBhErrXvavoOHe0opDDmJsLtS5bSWUAdTqvDUKUwW8ABtSEUz5ShTkNWCwhddkXQZ7957UqrjrqaILcBD07QUIt6LE1FBKAEqWnETsE58v3Os4ucMKRODOHjIc+sIQfx9S1bMsxSUsXabjLVQMo3xxDkQa2rfNAaargcLqo6HPI1ozclX+rLjp/XCky+Pvo8W2kixmhTjae1YLOBSPqfywjme3nuPKboK0TLKWlKKZFP9zk8SnxpyVGRDp4qMS5njS527BYgp1YVKG+ELaxRTGGmUqwmQkZKVCPit0CZjnCVIKYs1Y64USq0t4yCuD9tuTUJzOBxAzeji6ForXTqQrrLWtNXNopTznHq5dmLOonqjHTkFYsgoMtlVq8GQGIaBzbYRykEWV4g4TQwPe2wN+Fq6Yt77CgBohmGkpEzfeozdMA1C6zF+AXssru3QxvL0+XPmKfLqs09RqtBa8aF/mCZUkPChbDQoAVP2xwe8M7S+OmxooddsNhKm8q7DWHW6L+IPk8hJ6FORM61K13lInvmEyuCbv3jp+xNSJCu6dot3LW3XgTY4p1FFxEGFQvoiHxBAl4wS/QZRKVJjcdmTU20Q67oDywnTaLKWxaFESwlHnDGYPFPmjA6ttDlbdbKfSinhvOeYAp1vyFFI6V97/2dZ2yu+/Yff4nD/mraHpGayWWG1QWPQpaAMRJWEE2gNJScJzSAzF8hBPHIX+7ScI4WA0olSFAbLlOdTCwkWegHCxa7IsV44uvpxUEEqWRYwecVpt74s6otVHHCarJafn0Rs1hMvWsOCggiyK6+XuN1Ud7NLKwXOBWKqIral0LE8jp4NQbizUnTJ34qaGk6RMc7hasxuOblXuNMk4V17sbPOONedEGX5HOdzLinWSSifaACpWtYVZ8hLwVoCSmucLuQIjb/l6qblte2YvcZ3Dh0z2VlUemDkCVEbVm2gqRlNpUjLMNWIVKsXNPTSNgzINZBglp2zsw1am7pRKihruL69ld6GgrdvXzOMD8TqDvH547/5H/87/qNf+1vcfvWWj9/8kM2t54//+E+xq2cU4xhDxjSWOR9pKx+/FNAxY2MUk7iC2DZp0QugM1LqFFQSAYc24jNuhJYPQOs7XDYkJWMkJbEJtErCAFJYxJFOEL8MFPGn1tpitSLGiaAgaUlLLKXQz++eB5YxO03yd8S8X/zNDaq2qw1jHLHeMScwuuF2a3m4e83buzt+9hs/zZ/+ye/TrK8pMTNlcc3R3hKYxdar85ScORz25DTRGE047Igxs1pv8cbiVhvG4eGsfq+FqSkKnMN4yzAmuvWGcHyg9Z7DeCClTNN4hmGg26wY0Wyvr3HrLavtFfr5X8K1K3KSZ2icjri6gGStKcZhvMEcI9OYCHNiLiOuGdExoexMu/aUFJkHmU/0+ort1TUmzezu7wnzkZvumqxgPOx4s7snpcSzL32Zt59+jLMzv/LXfpH+6YZ/8Pd/B2Miv/gLv8CHn37GDz/8kFigpIacI05qVBEI+ZnhcKA1VrpfMTOFQte1HMcBz4FhmPiN/+I/5u/+Z7/B3/+f/lt2bz7mcL8SH+M5olWha4RapJVlmESE3a49qmgJcGFAW0nYsq7DmJkwHYmpcBxHxvEg3OXOkdGkKEWfNRLZa4yhaQ3HMZJ0pFg4TiPt1YpOtez//GNaZdh2pQbnPOXtODLNRzZpJb7qRjGEgbjL9G3HddMyl4TVhTEGoproUi3uawfCGk27atC7I41z+M4QSRxnma/evnlD55uTm49aaZxTUEaMhsMw0tgVunYYxxwJ84TyulonFq7XK7w2PBz2lKKZSxYaVZJ0Smc7MKKTMMpilSUlg3eanBwUy+uXB7z1FCNuUvOY0FiKTxTfEceRbrvGzzMZiwYcCZ3OzjghRFIs+Mai7AJqRK6uNozjzKpfY63n9cMbcpqZgxQ+Smu8WVFylNhhrdGmJZfCONawEe2IodB3La5vORx2TGGkX3fElPFJU1xhJqBtoSRQxUKOojsBstLELB7cshlJlJwgaZzWmAxmLiirUdqDl9yFXLmxWmuMq+DYqGlw+OQIKdN5R5Z9FyEnpuORFKujTbPFOk/XNiRXWPVb2rZlGMQFJftOrODGCWuh0ZrDQbpiMQRSCqy7NeM40vWaJrvT/AOZzeqKZhbXnWH3QNM0tLah7Tpi43lz/0bW92rPubxOimWNslDKxH4Y8d7TrjdMQdE0G1lfdcLoIzZ4PvhL7+M2PW9ev8TMGb3eQtGU6TXjlNglcK5h27ZoMq/3D+zvZr765D0emAnO4oY9nd2w2b4b9b2paH5MmUjBaBH1T0W82mOW8JWCYj9JTPXKaHJK5HcCYu8+fiKK5MXmxbsG75tzrnj9+cI7+qJDuF2Pkbi8cEsXiVApp6IvVh4kRdKVpjgTUsRqcSHgAuV69J4Lx7ZSE3LObDYbbm5uIA4iANMVrdBLIEI+GfvHGFE51XQ62fFl5cgxEQUuxBvHNCcaampYdWkwlVst1+WM+J5CCJCvkMX/Z7l2Fwjy0t6+RJa/CCU+UwTUCU1U1bxaKQRxiPGE8i7XxmpDXqgx9U/ry3tXfvxePuJQLvf9kr+qztSP5etCFblEjeGMKCw/exdi++7zPlNLHqHndfHMWp88tdEa5xtCFU4aY2jblt3hgn+bS43PhVKUcOGMESTpZNK4IPmXwkJ18gzOJUIWpDFX/p61ln69YZwn5hAIKYg13juOH/zoY7770Yf88td+ml/+4Bt896OP+eyrH/Dq0z3GaLy1zDHSNZ40DYI11fsZc67osdBbchY+oiDCRVB3rSQ5UivxJkeRc4BKYTFFVXT4nGyY0BKIsNA0VKKwWC/W8VKdUITkkSvSLc9r1op3HZfj5DQelIEsSYpai4dmLoGUodRraawgO//8D/6Azivee+89/vRb30IX6HSHKrmmaiq6bg0lESo/UjxYJSlKmRrtnjMZddp4Ll0lEQs7NJqMIOSlZNq+P3ELlZH0ylaBawQsaNoev1qD0hyPRxocpssnHrR17tRlidUWUr6m+kyKd7utaM+SfBVzEkqNW9E6y+HhSIyRq6sbettxt3tAGc3bt2+Z55n1+pa+75mGjpAt7733Hj/1lS/z6tUrYpRCWRnD9/70z3j6/JYwtxwPd+Sc6bqGZA3JIZ64yMbZYTkMA40RJOtJ3/Frf/Pf5/pqzeGw49OPP8H9lV/EeUOMR9mwZaEKLACGUefOkTGGaa7zfnXISTHKBuUilXLf5ArwAAAgAElEQVShc1nvZIwUuVZBFZRx4rZjHdZ4YEJrxdu7Hc4noWmhcNYyxwI60q8a5qDF27/SFFKIoD1eG4Z5YgozUcu46/pWFDGnDb1oG47HxNbKWA8hyAaga4UChiDujW/E8koHoQNa6Z40TRbUsJy7XMv915UCkHMWBH+hzX1OF6KUovUNWhfGQySmKPdLlZMg+1Enryx+xIIian0WhlMpDtZaiWI/jUsRHwJCJSSJS8yscK6cO6YpsV5tSUXCLLQ2aGtOFDrxRRcO6nl+T4QgoVDL+t40jlSsFI5dc+44CxFZqGGlnETgC+VD5pCKPlcao3NWbBuzIP0LDWw5r/McXoNcLuYl+bfhWLnXynm8F851qutKQhF0QeWIThrvhUKltVBqhmGo75VPXblL+lmMsQZ9iOB58VfXWnyVKQehb1jL8XgUmo/W9KsVne9Yp7Wc/wVV7JErlnosyJdaqLtA/mU8W2vpm471LM4VJR9kHteC8GcSunb+5nkmW0vXdTwcZxk7Klcku62+5O/Woy2fMaVEKgptZbybGqQjab1VyJ8L5ESJCjRf0DV+9/ETUyR37QprXUUykZ0qUpMoxOLli46ssiTPKZEXpZKZi/iqahQ6F8gZ3XqSET6yQaG0QfWWZBJjjqSgcAG8rxY0ld+7HIs4p2sk5nQeR4zT/NzPfZMf2YSPRxqrSXE+CXWKViLSqb6AuqhTkSyTvUZbhVrSr41GF8/KNaycw5uI0jMRJ7ZbahER1EVCn5P1LluJ8PgBXYr7pYV0iRYvv3t5XBall3zlBbWd5xmn9I/9TijnzcRSsF66WDy6b/UzLJ9vecDqiyRi3BickoLushAey+OY2sV9412Z7Nba02J0aYMnJ8rpungrhcQy8eScibaidEUDBtU4THGsrm6ZDp9Ji8kYdJbr67VBVetBmai9CDZzEq5eDrha6C2iguV5lSAcmTxkA1LFUEWM0KXNamn6K26Np+mv0L5jt9vxLv3vnDx/73/+X/ne13+a//BX/12eP/+A4z/5Xaa3A3d3r7m9eU6jHLvDAactOR3IeQYtfyvXwCq5dRKxTkkkpbFIalxEAhFUEpv2mpFAjBJ7KlHACbRBFUPUwtcPi6CtZJQWx5LFv0bXjoPU1sLrR4tbyKDf7ZkpC3SqdogaCKdxVYpYVylyjYg1xGXsZHj69Jbf/Ye/y+HtG/7O3/4bDDHSVsFTmgONd3QraZ1P08R8GMS7uFsLFSUlvG9RxhJzwiCeqEopfCOinfXmijgWMolcAk0byXrE+S1hGGjWGzKFOUXazRUThifvf5Vus+WPv/cDYoZv/KvfxPr2lDLmFlX+5zaG8zSilaFrPaDpfCPBGTnXdKrCmGpy4GGPan0NMxi42m65Pxx48fIVN0+fsFlvCSGwver5B7/9LW5vrjhMA8N+x6/863+VeRj5rf/rt/nRn/2IFAo//f6XWd9ueXsXaVxHCJb9/R1Jt3jn0UScNayvOo77xFXJxDDyV3/xF/i1v/kf8NX3b3jz4ke8/+yWD7+Vef3invc/eE88YmM6cUt9r2hbSWWbk3jcN77BNc8YY2K19aR0gKxIEaHtRMhJi6iMjGuMOFBkIyEySmFUi1ZShChT8A0QiwgklSKliRwTr4Kh37SsrmH/+ojWHffxQAa2q56+8cTDxHD/wPrJFh8MHmmdT28eTkEQZ3pdYdoPtM+e4ZQipwmnLf8fc2/ya2ma53d9numdznDvjYiMiMyKnGpwVXfR0OVu01R3GdvYmF6AkUC98Z4FEv8DbBArCwFbQCwMQkIgIRkvLMA0tPFQrXabququsjuHqsysyozhTmd4h2di8Xvec86NjDTNLl/pKiIj7z33nHd4nt/v+/sOUy++uouuoaocVWUl5ncfiWOmH6fixiTrsuEIBgzDQN9Hmk7cCPo8omICW6hP5eFWRguSbmSqFfZ7wpRQGJqmQ6nMbr9hsVjQdC1+9KA1KadCucp8/MkVXddwtj4HEkN/i+8DPkwHjcxh/U1Co8CWAk9l+mGiyoq2awuQ5Qm5JmdNXYTJ4zDiXKFllL0HJfuObsXOU2VxeEgp4UzFMPQoA6vVSnQlqLIPQ/CBGAK67EPztTgU9MGXJNmqnM+RGBQqJhZNi0/xjjNPZo6oD+RcIu0rS8oQS0EbozRxVkvYmezlwg03VvRX4xQIo1A698MoYkzrGKZ9eT9CYfQpoqxjDJGmaqiUYhpGibCmrJ9KEmBd3RJiLjHQClsLnXXfT3x2+RyjhCfstCGU/e/UCebg3a7vFqxGg7P68P0xTFzePOP8jbe4f/+cJ+9+hacff4LvL9HK0S5qUsoMfcKMoFealD2LZoG5b7nZjdx/cEZQEtyFqxjDq2PkFCIM9z4Sc8aV82m1JhTfaMikEFiYMolAgVG4/x+l75emSK6q+nDTm+Lpp4sCEoQL+YWHrAxQMCmrlPibakHmcsoFfo8oa0VZnyHHRO1qlHLkJB6O83jiVUVj2zaM+16se+aCLXneeectdlefEZ6N6JgIU49yDtMucdZJ0IcW3+I5RCOlRF0UmNYYPHLTx2lEV5p+cwXGso8G06xYXDyAQ5daPm6SRBxVRE8HtOQlVE0pdSi+pME+coZPOcHz987/fkeod8Ixnd+AL9y7+edyzmXcJ6i3Pk2ZOyneD+iv+XywydzhKaVAa6yx1MbeCYuYF9uUUkn/OaLZLyPBpw3Dy03BzC+bBYA6le87jDAoSAMQJTxCOO6aEQVVGVV5UaInkGI5Z1ASfKlK9yM0m8zstjBPBPL8i5hpJRN+knNqrQPED1spDgVRXdXU1Yq2aQQJaG748BWPxbpaEi5v+DvP/iH+vOV73/41/u1/6Tc5X/6QX1w+4wc/eZ+YLYvuXIqrfqAfbxnDQM5glWwOuXDyUi6UlVRCZ4rQJcci2CPJZqudCGCVhezJOorFVqYIR7LwvEsKpQ7zVZfPPamIUYJO55zl9VMRt36BB3wmlglGuff1zCU3MgVR4iQQgrgMWKdF6DIFyIbXX3udjz/4iL/1t/42f+Ff/0tcPX/B5cef4Iuye0qJZ5c3wiWuasI0kgDnNLaq0Mbhi5AoZyWOIUVzkLXhdrenUpK8GULCNo5EYiLhuob27IxhmgjDgFl0ZBouHr/FH7/3AX/0/qd8/ZvfQpsa6wo1hUjlHKbwB0+fC6tgmkbapsZPgRfPn9J2EpdrncYHj1Ua6yy+35K95Wy1prKO65tbrq5vMVozhcjZ2QW73Y5+v+PP/uqv8eF77/PZJ5/SrtcslxXXYeDxaw8Y9p4P3/uYqxfXpI8+ZIqZroPNHtarjs1eNn3fS2DNNgykMdOnPU8ePORv/Od/g5A8jVLUTYfv93zt7bf46OOfcX5xxqKzaF3hx+kwodPalnTCdJjM2UYcCELKpOjwQX4ux0DwmZQU1gjIkXzCdbU8kTpjnETXZkUJ34mgFTGICMg4w4MH99jf7NiMntQPOGWxtiL4QLMQcVQcB4zW2LoIyPZ7/DgdkMOmadCuOlrXlTXYKc3NZoNRcLHqhHPpI401WFURUsT7kcWiJVUt3ke22wljInUjtn8xS4R00zQHZwO0FDnTOEjQRgFYZgcA8jG5TMVIhbSYKUfRwJAZvSftdnS0hMlTu07u/7qClDHWk1Bc3+6BJMKrVprfGUne7/cYa1G1oJwzV9p7j7cdU4Q4yOfTAFEEmd6P8v1GSwNTUHG0xVlHypl00E+Aso79fk9KiaZpyCqx2+1Yr5cSuNGPVJXBJxgAVSYLY3F5adv2sKf4KF8yLaypnIEgvN5IxquMtdUBuZ6vp08J5wxoS0iJMQScEochjJgHUBJ802aQvUMLSmytJXU1w1j2ASdTo7rsgTl6ue/RxCQ885AyzomIdZomYuG5t21zAK2WqwX7/Z7gpcbRRrM8P6Pf7Tmk84WjewZwEIHK5EUagnEcD3okYoBZHK0kgdOohBr31E3H22+9jmHkZx9ckZXCVQ4/BsbdVhqymHnt0UM2/cjDx2/w+7//B7z77a9Tt5bNZx9y/2zNg+XilWv+Qfiuike+Eipq5RzRx1IPGEylCcNe7ESt7A276QuyBV5xfCmKZChCijmcTBW+DwqdjmPzLzq0MTLGLxZKTkFOWqgWGZJWJCR2NM03gJaRXQ6aLCuCjL2TR2V3GIUBd4qyebOFo2CpquXmcUZRK4PP8rtjjHitaXSFNgatj2NBufFkDJBUOhRz1lowSVC5NEGUcX2OqYhnkCI4CxKgSyevKZ8n54N368uFMtwtSE+L1rnoPz3PpwW0fkk8qXI+FON3fi7Pw/O7osL59Q5F98l5OH2fRskmp0qjMyudTwWPp+93/vPU7u70IT/9nkPHn4+c6dkuSBbeeJdqAagMRlzO0JlDkYwWWo73nhAUGhnXGS0xoFrLQpjxQhdQoGfRyJ1+o9ARgJjDYTxOFkcNGTGIRZXcd1qSF0sxtOoWhWbz+ePm2XPO76+p+4F//P0/wO0j7/yVv8bDZ2eE6FmfLbm82ZO0ocqZIUnaUkoBpezxXsmzWET+tOW8KEQMK6zlYmHG3IgIgjH3tkopKZDT/FmQ51uBy4V3rZQI7jRkJe40JCW2X2Qmle9Sd06Ou1z6IpnLx2hZpWRcmIs12Fzw60INOTs7o9GJH/zgB/wb/86/Sb3bCceN4XA/JcRiMisjFpWIxZDWkuqY0ywSOSYAzlOO7XZLVgnIZC1WZykHqraBrFHGUreGYC0Yx3p1j6cvrvngZz9HVy27/cgwjLh2Kk18RlvFQVR62tSmxDj21HWLQgvntyCXYfKkKACERtaVhHjTTpPYRFVtw6pb0LUtn3z0Mbe3t7R1aY6MLePyxOXTp2y3O87Ozhj2zwlJmqHlcsEw7LHWsqgTZC2hHtmhdVVERZmURn7p3a/zve/9Fsv7azbDljBFrp8/pWtaukeP+MUn73O7uWS5XIrQNJiDJVdGwI+cxf7Ne49nIquanEBrh1bicJGjNKhaWRKBnOc1Qzi7MSdUTqgcCTlTNY6YE9dXt+TJFl5boGmX6NSxCS9IyhKDpIUqPeF0BdbhsxcNgXMHwGVbXCxA6INMRyeHYzDFPKkr1pwBxr5Ha0Wz6GiU4ur6mqubK2rTkZP43+hCOThM87zHFevSpmnICANvmEZmHYSsq/ZQJCuliMmTUsSoedQey5REXIzmvUDCekqktxIR7nLVAYm+9+XZdrgSojX/PkkerPDKk8nYlITqMnlMtcD7kThm1usSSJUC6ERMI6TyGkZcHvrRMw2j2AZai3IG0ZcksQAr0zhj3GH9F+65IcV4sKycn515EnvY77QGJXt0TCLyDymybFq0zfTbnaR5qnyH9jAXpPIatlyT0rBnTTZz9cBhIuSt+F3rQlnTTqOUISWpB7yP5OxRlURSGyVR2NYYxvFGzmkUBLuy4ggyTTJbnHMFTj/b6X0SdBHW50yMkAqNcUaRq+JwcXqc7sEaJbSVeR/LUpOE/R6Somsqll0H2pQ9pEwei9XuOA5YWzH0G6HYnK3Z+Yl6UYK+QuS8W75yzT89lJrvmZfeX6FmJpXQWYir2sgE/k97fCmKZKUUVdWU/yjexCGStSK3QqNw8YsdLpy16GwlIIFAZTPZQlKRMKPRFrTOqBhxRpPiWLq3ipA00xRRNhJ6g889xjmys/gy5sUq9ChI51yMkkHsICOLSpEsVFqLa4NWaNuAQqJRrcJWFufEAqqqK1Eup5EYPa50o1YlctS0ixVucYFdLWQ0UpvDCHrmZCml0EYXhwl7KOwr29wpCFNKROMPi8dh0YjTwddRlZFJHEdZMP1xMU1BNpn5AZvdJ8YixjotyEM6sVyTp+FwvuZm4xAAUv5dnRTLSSk0wku1FrraitgyTaAUrtHoCGH/Em2ivI8picgtqmPhXJfgjJxiQVVKwhJRXAcK77s2VkQVhSNcKc1COUJOqLoh55owZSwa1axQ9T3U+CFmzKjmEU1QuCwexJWqQFuUFgQol+Yh5oifE+yYmzDZMKcSv6yAEEa6ppUFllxUyHKI93YLusLVhsUXPMXvffweb1Xv8uD+PfrbG/73//XvEnLg3/0Lv83FZ+f47Z4X5xs+uPyMbC3KQlMv2dzcYpzC54nGVthYqAmVIZBxqSQ26gQ2k3MgKxEUGQUpeJJRKLUvfpSaFIWC4hFahrVONsEp4s3mTgMkUyNFUhIMEoKcuyX2CxsCpUp4QkporYiTcM9iHphixGXxsq6tw6ce9Bp0jWsC/eYSoye+9c23+eCDxH/6H/8X/Kvf/Rc5u/8Ab8A7MLFnwYKQMr4CZS1Oa5zVZVOasK5w+JQi+lQmAXI0XcvYb2naNSrUNF1HVWvSZDBNhV4v6WNEB09lHbFq+f0f/pigK569eMrZxT363V60G53DOMdunMqGb2QTnwZUyvjhGcO2J/YddbMEr7CVI0xeUC8Sw34D0aJNK3HifUZHg8qaznRUVYPPiSkMRL8n+MyP/+RPWC2X3Fuf8eMf/5iExtUVzmVW5zWrB2tuNltcVaOdZbvd4WxD8IHFopNEWCUItZ8077z5Nv/hf/Ifcf+1JZPqae91rO5dsNtdYarMw/sP+NEf/gNW3YInT77DojUM+w05JoZxz6p+gMmRYdgQTKKpKzaffUJ1do7WHjSEsGOzfU7tKqzLTMHjfeF2ZsPUC29TYUlR0XUNNZDDFtVptB540RsuLs6E5jUGsoHWVQzDhE8T9WrBfgj0m51w03MJhdIJckJHRVc3kEVD4G2mCVn8dJQ0xSGBN5GoByY/YHYBlQyuXjIqjYni4ZwLGBRzIGVNt+zQxhPSDVW1oOtarq5f4Cx89unPWZ2dc3EhgjitDao2pCSFQ9fK2r8bBuq6lclRHun7PSoZKmeLJ24onvhyry86y+3tLcZp6mXH5L0g7VrTtEvhIw+9cE+1ZrvZlUlsS06ZdimpfMF7vI/otmUMnqaVcIzNZoe1isoISow2h6JzMqCSoqkqXLtkP41st9sDTa/tlgRg8BDHHldVGBRt3TENE5CZek/QQPC4nJmQonCOi46Tp3aOIYnlpopCMxiHgNEBqxRZK0LydMuWmCPDMIjDSesIIVHP9L8syLdVhqwT2TX4mLEYFnUn69WFiNh9PxB9IGTNfjewWCxAWQmMGwMuZfb7PV3X0bYt3gc6uyZMga7p2O+3YDRduySZxL7vmbZR4sWHgaWrGHPCWUtTN9K0leRUlRMhSH2jc8JpxeWLFyjgwYMHYo+4ECvBaravdTVZBaZcRNlaMY49yVhSGMjDNVPSVCbz4OKxBHjFRLVoCFH4x0/efIdhP7CoG/7Zj/8Z/8Jv/Brv/+M/pP7qW+jGMamRd++tXrnmhxAIZIYSvCaFfiCEUShFSagxKMiVIlBSnK3lfLnmvVdvm587vhRFMkhnAVJUzV9q5rsqzUtUmDuH0AzyoRPLZeyaC9o5H6copvzOU8T1+O8pnxDWhThaOsSI0uaAUoGMzqabIlZIwtHS82d46feeoq7zps6BV3vkRClXMYVAGEaakLDtUQiUmLtVee256Dz9u3kJwZVR2hE1notHq6QTzLMoT97cK1HorIpgkCxI78lnu8tvvtuhH7nQR4/bO0jtS7/r8G+fuz6v+J4TdPzl63p63O3uy/vIn/9Zud7FpQEgziJNUS3fnWjMUwXhMxvj0NFhVIVSFqs8CU3WCc2JLV0W3HUWfbx8HD6r1lKc57vvcUbYUwqkQg855c2fHjlnrq+vMRoWtVj5/NEf/Zi/+Gvf5f4bj7n/yS+IzlDfvMD7iO8H/DQc32uhLsxosNBuEro0E8xNVJakQ5WP/G65DQQ5ne+J+brOqIMqz0lmRtfnc1vQZqXIRh8mMEprETN+wWedr/V8LZM6OZ8nQg1tTEGJcuEQlkXeaL72zpt8+H/+I/7e//V7/Hv//n/Adr/jxfNPWS3W7F5s0NairSHrGamwUnhFEfdoWxo+5w62jgCT2DxgKkfSCV1cLipn2fZ79Fjj6oo5Ne/jp5fcf/QG7WLNdu9578OPePPNb7I+X9Nvd7TLBSEHKrciEolz3HcS8VbtanG+qRy2qcuESVxWmrZhrSUUZG5OpqLsn8MqvPfUXU3XdTSFOzqOIzklnj97JqNz14L2WK1YrRZ865tfw4eEy5nNZseHP/2YaQzFBnPiW7/8TYZ9T7+f+JVf+g6/8it/hrfefkOSSE1FzpqcArvbQmsx8pw8e/ZMbPVsjVbmgIrN19kWCl2MEVuCO5RzdF2Lf2kdOySq5nz4WYxGJeG9z2ivMVbcCNqW9VoKCqVUSeo8Tv2yNpAyzlpu+msZyy+XuLqWUb336CSFR+XK8xInYhR7OYXsMc5A41qUiiiXca6GKLxilwzLtqNpGhRHpHMaA8MwYF2kahRZ8uIOrgxnZ2eMU2YcPTkn8T/OHJyJ5nUx51ySYTMpBpquZdp5+mGgXQsVaxgGtNbyHg7rscGaSrQLZhbLFT1KzlRNfdh7lBJ7yJwz0zASpshyucS6muvra2KCrjUnya6R4EMBftJhtG6N+HvrkDBGYR1YK8+/2OEJ7aiqKpKW3zmjlk4hommjQYn7ASlha8s4joRpkjVv5vw7XRBX8UJ2zhxqipyziPZ8ElphkgmWKpPGI1pffP0LECQTwEIum61Nk2iuTNMQtAAmVWUPiKs8oxSKivhJSxBaRjsRzi0WC1IKjKPQQV1bkyrhwPtJNBPz9Z6THkHohMZIDLf3QkXL6SiwTCmx3W6JMdJVAsbNNYNww+/4HBzW4KlchzGJX7eIy0W8N4csWYX4SCvFw4cP+eSzpzhjadsF2+0e143kZD+3n8/HvJ+cTqOl6QSxUJ1rQS0Fsz6Gpc3P+Z/m+FIUyUodxVLyH9I1aq0lNhh1x1f15WNexIOX4jFmgzkpemHe4BUqa7FmKxtoUxm6xuKcxWp5gEKGumy6lS1pf1qjjdi0HWgNkr/DdrtlGAZWzuGUwvdj2fjlct25gFn4vDGKmClkKTq8lwU1KwtOs1ye0V08pD5/ALY6nJ98sjnMi/6Mps5ju4MoSZ2M4UIgxWOhJzY1s+XcMcrztPg9PXexjM3mwkJQ46Ng6Kh2dcKR1vpOwtzcFJwihjMt5GXBoYzV9CEy+rQ4nTc3EWgdC+KDx6aRJsZqQziMgU7oHUb+tKYi5eMoECSONGtBwOfPKSKveHAFmH9PV9eEqmJKmSlBv/VQP6CqViRlcaonAVMyGC185yrL2H9LcZAo4imdRXw6MJKUIuZMMoqQAi7cFWIKsl8ERMjo/bQhOz1Silw9e8HN1TXf+sa7vPbaa9zsbvnP/uZ/w/f+3L/Cd7/9KzQffUyKnuvrS65+9lOC76kqi3EG5cX3WykK/Uka0ayPEwpti9f3FIQCVO69Y/k/X29QKqC0ER/yLA4BSlsppE6u5Sx6jbPhe0nZ8wROX/nl53u+j3POB2N9kKLAJGQsWEbTUQjn6JxpFy3aaV68eMaT++f85V//Np9cXfI//Q//I3/lr/42Rjfs94n24oIXL16wrBvWyxVxHPAhoJ0j+Yiz1fH9uEQ+aQ67qhbrsW6JSxJnq+qK4CeWi4dsJ0+aNPsh8tHlp1ypFRevv8Y2Gx6+/S3q9TU/+clP+PTpp/zSL3+Tq8un3L9/wVAdvcSdq0Er+htPNprUWLq2ps6KD372AW3b0i1WDMWdw2vhzyeFeAULd4SURSVfV5ary0uWy47FYiHoVbGQevz4MYvVBX2/wzWK+w/vc3O759NPP+OTDz9mGr3IJ73n/N5jLh50LBeOv/7X/xrExIMHD6m0ZdNf46pz/D7TNB3D9Qv+6Q/+kLq/ZbCBB49e4/333xfQgAbbVGSPFFpO9BjL5ZIYMtMwYLuGm8tbUJqz5bKsSUWzYQymNmQvo2mljbhZxMQ4CwIrByhGn0EZrFvQNA7vZf3qhx0pJbquJebM7WZi7PfkHHnnyROU0Ty/vOLm5pqqW3C2WrHbT5Ch6RpyTuhJY8hlBJ3JSmNdjR0HlE6YusXHjDYVi6rBh5HLy0vq2tEUnnOMnqo2MqlMmXFILJpIzAPKaPph4uz8IcEbQtzhfULriLXiuBGVPqz5WcEwSSCUU5lxnFDWUWuhMAidQ8JIttuJtl1Q1QsSin0vdlvKSLMQYipiQMu+H+9OEK3wWxtTkbVitx+IGuxqifVRhHEx0tQapSOh8Er9FDEmYW2FMRGVIjpO5DSSdcC4gB81+75nfXGPyjRcXd9QtzU4Q8rFRlbBLo6SukbGOkP2MzVYSyMEOGOJZFL0Eo9dyXWaph6thYstCQwa7zNV0rOcAq2lwRpiKOJPyXoIKZJ8pLIO62qUMofz0qGIo0zf6loCblIpiuf9Tva2zGrdlfCuzHK5ZOxHiJHeT2SjcV1BiFXF+mwlFCTv8SHjg3C7QwgSL922GHfco0MIsmciWqPz+/cwKDabDVoppust1BWpqcAIjcs5IyCmgcIFFW53CuI5bSoIMr03TV2chjSVNYdmfAqRwQ+sVgs+eu89zu5d8Omnn/KkWbO9EQrWq45pmg5uR1oXFyqloDhJhSApvTmLg5JMjaXo3u+3r3zNVx1fiiJZCknhCOYSoGAo4juOSMAXHbqgUskIj/zweqe/QZWROxyEWSpD5RR1JdwhrVJBthCO8ozsFsRLishjkSdq8ePGbIwpkL9I/Ociee4gY4zSZVKUoClIMaIlrhatqduGUYuJd9O1VHVNykfLs5TmQvFIm5AN8midk06Q68P7L12zArEQUooDHF0K9/m/X+YOwxw/LDSI+e8hhDtcYUnYKk2N4YAGnrpKzNcCOBTRpw4X838fuKU5C9Kt7haLLyPLB9RavkFeBw7c4+P3fz6JUM4Vn3stxV0UGkqhbcVzVylpclIWQVisihBHyzIqXs+QBS8iZuGNG+1QKpROPB3U30nJveRndwfFK0fCbdMAACAASURBVN9rKtQjpWf+Iq88jK6IGlKIPHv6QsRBbc1nT5/xgx/9kN/81e/wlTef8NkvPqG6f07tNNFrQd+SBIWQM9mKyE1xRLZTSgQln0wfmr/Te0feQ4qlECgWdjPsMJ9XuafuXssDXzYLfy2XTSKpxBewLT43cZhRjlMUURf+XVRZwi6UIInb64mMpuocfb/jYrVi1Jk/+MGP+d3f/V2++93vYjU8v3rBdi8CID96trst5+fnuKqRFM/5faYE1mEKHxCtqWrxc9XGkXUiKgNRc3bvAZvbLaNXGOd4drPl8nbia7/+bbYeuqpDm4ZHrz/hgx/9gBdXt1xd3uAqw9beYhfiU31oxq2mbhYEMqpboIxD64m6rg8TH0jsdj1Ka5YriSAe9j0aeabHccQZEYL1vTRN2+32UPAvFgucE1eUpq2oasXN5RU3NxtUjGiV6ZqK1XpBSInFsqVrGx4/fsTZqmOzucHoSN1WtG1NXTv2ux06ZV5cP2O/uWJpIYaJ84u1iOcKMhUFDjps9qag5ZT1N5Q4dJXBTxKNLWu7vrOOa63Rbp7O5QOwsFgspLndSwrcOEW2vcc5w+AnsQ6sK+q6IoSEUR5liztF32Orinvn59R1zc1ux+bmhjGIsLTtHJUxrNqOKUmhM4ZESMfI4EXboa0iDFLQLJdLxskw7vs7U6P5uojjEoQYJQuEzNBPTJPoCionkebayOeLITMxkWOgmgskLfHwRktBGVJkux/Z9yMPv/I6dV3RtDXDMHB1dSXi9mpFSND7Ee00riDqCtA5i+NPKcRVmcb6lItVZOFDF5obxkgWQJwOPHG5RidCOB+JcaQqQT45RjwJXUvzM5YibxzHA2J96voyO1bMawFZGmasuM8YK7Qb77041CikqY6p6C/Ezec4FdYFaDOFF68OX1pnoYxqVcTb8pVP9h6ttdCccpZAIZD7AE2MiZhFw6K0om6q8v5HjJmn3jKFWK/XTNN0FIGSC/WrlYAiIymNMhkXjrIH+lGa3a5qJTgnyz4UivvFLLQ8gFQFjPNeLD6rVuixIaSy15uy4cp6a7WkB6ccicEzDiKkNEizqcmEGGjbVvypteL+gwsuX1xzsb5A4QhBePGL7gg+nB7OOQliK9c0x7L2lj03F9BGYdBawl7m+/H/q6Y8Pb4URbJSkp4i2L0GLaNPjaIui/8/L5Y6Bw+mcF+NhlShtYgDjv6YGYPQG5QqD3SGSkNdCcKosiBMIYrIIhXCqrZGLLFKxPQBSc6Zuq4PKG+MEUnnPbpyzJumfJWRIHPinj0kAtV1g3Maox2V02w3V0xYzq3koSddl9/xciGpDiOEuVhXxnBaRIYQ0CkfihFxJcikYnw+C9JULqNojsXO/Jrx4MCQDkiyOkGVD7ZvKR44y7P35EFNXf7t4CF7giTD3VG5KqOSWbk/P6xzMwJHvuede6FEUc7uJTlnlJ1t8hSqdEiCJB3J/fP4/5RKY4xhLCrmmXIQQiB5j9MrrGnBanQFxiaSuiXkBSlWGK3I2eC9jGmncg84bah1BZgSWW0xRhacLsoobTsJGjRME8Z8vlCW1UgQXtTs4vD54yuvf4NPnn1I1Iqrqxv6vufxm6/zuLvgpz95j//yv/6v+PPf+03+5d/8Dd7/43+CdYjQcJiorQNrDotvVBldxpHRVCKeKptNzKJmV/MoN8nbShEOnOqcUToR0ohC3CqmaUJnS2VPBJU5i3ZAJSReVIMW6zR51l+9uJ02ULO/uKkEZR/HkRxE6RwRy6sYMzlFQoa2uuDZ5Q6tGtzS0pB4+8kDnl8/5OrmGf/tf/c3+fXvfIc//1f/Na4uL3nv//khldWc3z/j6bMXPHryGFWJm0VKibaqhGtZxErGGDabDZWybLd7lBEu79hH9n7DNAW2g+HF7RXtV97mO7/xZzhb36MPiouLe2yvr5mGntXygsurp7z/4XusFi3TGKhXO84uXkNrSz+ICMYszmkqxyaNxH5AT4FH6zP6vmfcbnBVhR8G9uMgxZYTe8m6FquwB48fwTRB8Lz+8BFDHLk+Caw5Pz/n5uaGrnEMfc9HP/0FKcLQZ4ZhZNkt0Max2Y+cXyx4+Pqaexcr3nj8gKZ2RL/g5uqGB+dnKKW42e7oSKhhwz/6vf+NisD5ssEPW9566wm/ePoZz56+AJ3oOplAWAcxJOI04Up6VlVVpOzpuo5KWcIohWjlGqwxEqISPCmJMl4r8QnPSjQxU/Ds+h6lDMZYdvtJ7okqsN3dlnUrMYaIMxmtKpTKmKTErzrC9vqKIUTaRceqbenHASoJVxmniSlGqpxJ0VDVNVYpdvsdOYCyQiGIkwi2x3HAe0/TVmJ3FyZubm6OvPsYDvtPzhVX1xOrVQ060XQtMSum8ALXdLSVZbedGIapADNZnELI4CqMM2KXFzNt19GuWzbbPVdXV9R1zePHjyXKXWsur6+Y+hEfFGOMVAkmJetcrS1Gi0geXfx7tAjct0MvmhZncUmQUIBpnLjZb+i6pSCsKYgGRls0GmUy0yAj+324praOsB/w44TrKoyzVF3LatEJxWUY6FZLtA/YUriiZBJcR0g64f0oNEqtCD7KHm8NZqYOInqlGCLTJAK2pl4wJS/NWZJxPtqQqyLwU8LVM5VhWTdlPYtS0mhx85kRW2OceBcDytXUTYWOUv7MiZjTJN+/Wi2wtpJQFSKLRQtohn5kPwo9rmlrlIbFYokqQSa7YTw0Bsvlksq0sn9qhzGOaQrEzYboJSOi0iXBz0LV1ITJl+CXwLbfs7i4wGpJBox9LlPMgiRroVrmnNDW4ZQmetFMEEa87+kasZ0jRWxlqFxNHxNV48ilgHdkxuBZnz3g/T/5CWdnNd/42ptiQ/LSsd/vZY8qe3jyiWkcsboiEfBTRKUCIiiF1Vb0SjFj3T+Hv/vS8aUokmFGfAr8OyOBufzn4f+/+khZgguYo2lnRIkTfiuUaAI5ZpS3vAJwws+KRQlZClyVtXSeWd7QobA76UhOx/3zuHj+PXORDLPfsPycqypyLH7BxqC1laSeGIjBE/0klnDKokrnNqOr8zHz6u5wMXO+U3SklDD6Lk9ZRuJHSsbp651+nvl41d9N4Qae/m7CSaBHymST0JU9/s50NF2fX/EUJT49Zt5XUnedK+Zr+vLxKo7yXVT8iDTqMiKSol0e7jRNJHV6jyjquj4UyTln8uhJMVPb+mj9QyTliaSijKow5GyEkZvkc8ZcwHwN9RySgTksoEopKgQl8UloHxPTHf7laSGYSQdU7IuK5LOz+1xuP2O/2xGmke02cHV1xZOvPqLSisvLS374wx/y9ttPyns4nlubVRldCdI2N0QahTbV4TzmlyY2n78eSt5fiaFN0WNKCItkdIhDwR0azuH+lYsxozDF6OeVv+vlyYe1FuscGQ4BBPN7mhsjYpno7CN1/QBjHVll+nEg3Wz56jtvkVTF3/47v8dHH33EP/z+9/nGV7/KG2+8wbPPfiEIToqMY/FTLXzkum7xYU9Mma6SwjPdbg6NgXEWZ+R5+PlHT0EbLjeRs4dv8Kt/7rvgKsJux2p1j91ux4MHD4h+4tPnlxhnefbzn3N5fcuTr7zOOG0QZxZN9B7B4RuapiX3I2gRjfX7LYuuI+57pnEUe6gstmdKa8ZpkEbbGPn8w4AqRdiwHw/nN4SAzrDb7dhsbg/NawqZRbtk2Z6T6OXZzmKDtVi03Ds/48Fr99jvBm5vb/Gj8EanSVDPiGe6uebm+pLH98+IyTNNA/cfPeThwwd3AAANhzVuditKqQSMlMZcH9DIIz80xruToZAkmVNbWXdVVGy3W7SpqZsVQ79HO0eLY99vOTs7Y7/fcrvZM1pF5cRBYZg8VW1pmwVN0zDcbri9vhEbUGPYj3uxLlQaGxO5gArOFrcCU4qlWpq6hIijpmJ95pw7hjcd0NCyhzjhGQ/DRPAKrRxdZ4ojQcJaVcR3R+tQrSXsyk9iGYd1YllnHTnB009/wfmD11ksFmz7LePYs9kUFwU/cnZ2xmaTiVHJ2kkunIV8cLwQwEQcq2YBq1KmBPiArdyh8Xp4/wExi3Au+iAiZa0P0dFHvcvddcX7QB4dDkUsqXR126GMYbfbcV63J2CQUPCSF/EeKaNduT+m4yQ0n4Q5xUn0FILywzh6lEMQ+xil3iCjWks2FpTQ5HKJDT/ud/lQl8jzo2iaI5UwavBZQlBcbVm2HbtCk5im6WC5NvqeGDJn66YAY+GwGo7jSAgTTVOVicokFIhy34Q4YTBFO5UP1Md+2BaEXLztU0rsbm9pmgZnCj88iT1eINNUjrhNRD8VBF69tPaWIJXyxpxz1LUYf84A2TSMB8BM1ZZsNDc3G+HdVzXTNNE2a0lfXBihJr3iEIBOqGsS665x1jKk6YDaq1lXc7iPjvXHn/b4khTJCq1qGR/nwmuK0pkFWz7MK4qo+cgoYjLoXOG0wVjDlEVtm0NAA7U2VDYTdSMByi6jlLRuMQtXxSgO44BRBQyZ7HtUUCyWSwjlISkFlzYa70e0UVSVY7+/wdSNxHFqwzjtyDnTVWdkZUleE40iOckQp9/hkUXQuJas4Ho/sjxfi9el0xA8QQ2EvSwwGYtSFm0LrykntkWAc0CUtYjynBKUWCfIxb4YOCC92lbivZvFOsUUhE0KoLmoFpGVzcdRk8OSkwQfyGKQD9SLTCQf+CyQcqLKxyz4GXUGqGt34F1lMq6WGE0/DvTlYQZxKTnYJCHcVmNPuckS9uG9R2l32ARnX9IZBRbB4dzgSBocSFmRlSLWDg1Uxc1hto5KSbjnSmW0huQygzbk4DBVRvmJWq9Rfo0yjpwNw6gJeFISd5QxIwKNKfGChFWWiiTezDlhVSYYsTKqs4wpl87gtYc4B0HIeRvDKBZGMYHaf+Fzcb4+4/HwBrfumufXz0h+5MXlLX+U3uf84gLrHH/0k/e5vfrvsWvH9fWWsJ1IU2RbiWJdGUUxO4NaRtGCBihsNqg4gUpgalCKfZCCVEeFFpIJkNAqkyM47eaHlkQia/AkchIrJ1Ix3teGmDN4aYBTisVZ5dWCC5Wk8YkpkkNmSo6YM8ZGnDVEDD4rsefyjpwjViscDt2NOO1plWXhNF3tqNo1m5stzkT+rd/6VZ49e8b3/+4/4Pv/x//N7/zO79CsLrBVxaKuMbrB+8T15hoNbK9uub7ZYK1lPJsga6EruJqn+8yoAqQNlap5+PVfx9YVX3/8Fc4u7tGu1gyjp1qfYa2ibTqUzThX8fDRfZJfEcMv8fTTn/OHf/zH+HHPt94OnK3OmKzBLZec36/I045F2Qi9SphFQ1aKdX1Ozoq+H6lNRcyZpm7obzZs9gOr1Ypx6iEGgh/ZXL0gp8BCO6osjfWuH2iahs+eP6VpGs7WF6KF8J5x7Pmt730PrSzX//P/QlKKb779VS7un/P6k0eM446qqfmVb36bi3uvE9OeVZd59uE/ZfPiOU8e3EebSDSR3Gh22xse3TvjZz//DPU08ujRt5n6PZhMQsa0yXuyqgipRudA1aykoFSZGD3WlVCHlDB1w2Y30lZN0YVIM6yypmsW1HXNOHg2mxtsYwjeM8SMbWo2+x1nyzVds+D29hbrHOuLNZvNBpQ6JKK1qxUuJfH9JdNqTSQzhcRujOwzLGrLECFEQe6Ugbqy6NTTafH3TU3D9eY54VYCRbTTaCdgyfXOQwzcxBucVjQaVq+t2U8TrXOCXA/XVK3BmIZxCmQr3sTbndybKctIvIqBHAPZWoKHujpnc7NF660EcjnNdtMT41YS+5QjJkNMiqpbkHWmsoKc6iROCT5mzjsJ3NiVJgtl8CHTTxNm8DTGYZTmxbNrtIpsd73sDcVFgzQBiaoykAzDkEnJMfSRmEEtGpKFYCIr1xXaiNAGurM1z54/59GjR1SmZrfZonMmWUGKratJXpr+RSf2dikkcdWKGWssXo9oZTCuYvQB56zoS5w+iO6U9hA0JifR/KRILO5WCo1TTiZnYRZP2mJXOLJYNqQontzRJ2rdEIOm9wFXt9y/9xovnj3l6tktTVPRrZegI97LnlzVjqiE9185R841t1dbsX0LunCcG4z2DNcjgxoAoTxYo7DGYLWhbjRWQwhCdV3oCxEATl6aIJVpVwvyKIFDnXb4FOmHiXUnwI5RmX7as1x2uNSw8wPZNbR1RaU1Z+sFMYqINyqgqcnWYieYpkBtK1JUeGfx+xEWexZn59R1gx+/IEBquZbJvHaopBkH8bm2QZMKdbdnxOlIaxyVsdS2Ik6etHm1APxVx5eiSJ6rfTgZ8xeEKh9cF764SI6qKCCN+GUmnbBhVpkW3mvhRSkl3CtIGC2cLquF42YB5wppPx2Fakc0OBzUt6dosrYGijXa/JAaZ4m5RKIaQ9d1hGEoSEYJwvCB5CqMqdAGYhB7rDGM5GkH2lGtPEbVYsOmJBUJJbKBmKVLnoteKA4X+sSzMcoX+ogSHzD0l9BiOHI7T/8+86lTPibkzcrj03Mko50jOn2Kos+duvf+cA7veFKeXs/CP2RGGPXnfY/nz3xKdXn5vc9/zs4ewuU6unFoNaPbMzJb0OciyMxitkrOJbGtICVz0S2/W4Se2nBQ2EvKXCnCjYyiHJqsotiDKUVUiE1d6XYTCqsLR9ca+R0pYnEotPCVKWgahpAlNeoLYVwg5Ymz5QqdE7vtDfvgISYur64IZJ48eYNsMh989DPWi4oweTlTzqCchZc6+GOTogqfPB/+PvPgcxLv7wiHsBi5LvPEQK6j0Uev5NkDQ9AWDvSfMD/zBbEWNP/VH1jP91T5/pQCKmnxET9xx1HJoow0VDmmw3NUWSd0EaXJMZLCSA4jWlecna+onGEbLS9evODv/73fI4TE628+4dGjR6xfe0wYBvbDHpUyt8PI2fK+NNt9ZpoCwwCbPHGbErZd8vArb3G+vuCtb3xL7sWqFn5piqQcsMZ9zqmmKoKi+/fltV+8eMHlfuTps0uIGtc6rM5MncU0HZXrCq1EY1wrjSqGqq5AO8ZxZBj6I9/3JJBEK8vQ77i6vZFNdbHAVg6TI8oanKoRK0XNarWW0XGC+68/oK5rPvroI3b7Devze2Qiy5UUoDGOLM9XrNcrIIuAZ+xJfiSOe7qVcH3JkpwVYxQ+dYTtdk8IoJQDU8n9h+AnKguNJutKCuiUCEHEaDnNNC11oL9orQ+ODTNVra5rqkZoE9Af1om6kmJ5miZBmlF3ztWc6OkRPqTVjspawuDx44SuG2JKJWRO7E0DWihYKhMoYTtDYrmqcVaoFAo4O7sg53yMGy7vvW1bssoYm7FKEtwmP5BihiqjTY1zhhgT4zgw+Yh1LUplJIRCCnRImCTnYJwCKYp402rxdveTFLi+iLpSShQsm5g1UwgYq6isNB3Re9GQ5Cjpq7kAECkRk/xkt+zE43e7l3maKimcPtGPA7a2OBdxOkvBnSI5KuIwERDE+Xa7BRKL1YL9dkOjbPEUDgRrWLQdAH4csa3QDEIBY5Qu40KjpZHm6MefZYsQkCQn8cyuG+LkMVrNoqcTSuCRlgjicjLvTzmnQ2osata+HOmMqUw2mqYikthPI05V9ESmIdMtaurugt3mFh9nNP4ontdaAmHm15snJ/O+Ko1QsWS1lkRk6CdyjizaGoPBGVPCVMSGLibJYwhKE9JU1CFKrPGil2Cr6iSe3IiLUJwnvEqhTQZfajkMGSfrmbbEEMkxish78hgrEe1T32McGGe53WxRGGwlIsTZKvXlwxdfZpUEdIzldeuo6bVw4KfKQG05jwaHpjGOaGH0r37NVx1fiiIZjg4IYpFSEmkQX9nyDV/4s0k1MirWCGxqcimSFZwUYD4WdMw6dE7UlWPVdSy7iqZyGOtwtSAOwd+lAeTy9MzvcX4wqsqBNrimJdcNxlhMiVTMKh0EJvv9XobMWoQSIIbWdSejk2G3BTTLpkV1Db54gdphR2crjOuEN4w6Fv4ZMMfI6HlTlTcsf4gzR/F6nuOQS1MyC8Dg+FlfblYOnzXfLVR9jFh9tF45PpxHusXMST4NZQHKaNoe+K6zv60ocUeGeUMon9PVR0P0+fNZczIiK68hC5c5oMCCAB+LYvnZ8hnmFLYMcRIxQsjyflJpAEgZZYQLLtGvc+jCQCSKWtvIiFQZxTQmCeRQhko5IopYYoqNUodHPWuD0hAxUCglBs009mhdobVDKY/RgeQtSQVUEhFgSglja/GZjPFg/v6qQ5nIul2xqBpSmLi6veb6+pKQPJfPnxFzYL1qOVt0DC+uyEGus2pboj4KXEOSe1/PzUZSoHz5Ny2jVubiSn5wnhiYou5WJaDAzHGyaCJRuLuN5cA1V+KTbLR4MgPCd1NFrOVf/Vl9GSfmIr6tmhJ0oOZ7p9yTWqOMKXx1UbJjHbV1KDLExO1mw6K2XJytmcbA7fULqqrhG28/4ld/+av83t//PkkbPv34E370gx/QXTzi4rXHTMrio2LdnbG/vUZrTVN3NE3L2b0HPLz3On/261+jOztjLH7itnilZkSwWaVEV9ly/1uMyqWNgNvthpQC5+cXtIuOv/zot9ltJ378T/6Az55/xllnUX5BDFviYoV97Q2MrYnK0PexCIw8ky+8SyPWUUopVivxIl0sFmy3W37+8c9YLFoWyzUhBDZhRDWOGIUuUtWWd955B2MM68WStm15/PARzjl+9Mc/4uOf/pS/9Be/hw+Bd999E1NpPviT93j33be5WF+w2TzHqki1ULJebi45r8ExQfaokGhdK561dc358ozb/Z6nn73gza88YTdFtClC5RgxGHQOeAWKSEqBMI0oZQhBEXRCKRm7Kww5aeq6PqSfpiRJdWJJZWmahm0/MPQ9ika4thb6cThMqWbBVF2LxV7SMtqeplH40WUd2vdbjFJU1lFXIugcQiArR9O0aKuI0QsHdAoYBzGMhDCgTI1zrsRDq8Pv2vcjfSgcY6VRri7L/sQwjuTck3ygXaxkEmdhv58Yxw15GjFGs1qtMEYxFu52SBIRf3Pb0zQVzaIj4fA+grIoAz7sUcaKVgfDFDwmK2438qzrpCVd0Bk+u9nK+Z7H3UbL80cRVFmDNoZxmmhtzXq1Qm837HY7IJf4ZRGVLrsFTWUZfcSpzIPztSQM+sSi7og+otHYyqGUpt/uub++YL/dE0MiFc59TAofpFBUCC3AzWm0QNIBX85H07ZMUdL16pLC54t12LyHuSLOPVKtpJidC+Csp8KttigcZC2fefSk4sJAktAXrMV1DT4E0n7k0+fvS0O0qrEqEcnYylG3Ld579n3Pwi1LZLvYARqK7kcL0LHve2II+L4XNJiREAOjjygM666j728IkxdwI5Z1WmuclXt4nAaZFCuNzlqQWKNYrNeiAbOGRCrNjpRcicwYI37vCVMGW0s4GICuqGsneohFTa0axpLu6Ixi+nSk94F33nyL/c0zNjeXsP78mj8DJyqe0D2sZnAGoyvqMVNHsBOwcGRr2QbPEAapE/+Ux5ejSFZH1FKQKYWKhRubxcJj9lp91WGkTRNFfvm+hCCv+STNTlSth19ZNtF8sDCRQrtYBjEL0e4Wki9zJ40xVHWLaxuGLOlgxhqGaTw4F8yq27aqhI9W3oRr6kOKnk4S7Ru8R/WeatHi2iV1twDrDgVnVkfhnUJQvBltetlK7VVo6p3T/gpezt2m4Ph9x077rnPGy+dG66OI7/h1RKDn155VzHDkKs+8qrEEmhyQ3SKinIVQMxJ9ylU7OmTcnUq8/Of8ljVF4HVQWHJYIFIslmVZ0U9j4f6JjVRWxUi+JE4ZIyKIpOaCUIpGMTqPqEpKy9mH+iAMjNK4SHCGFUQpKnSSFECUjIxIwunNKQu3NyPodEpixaZkvPmqYx75WVPTdEsWIXC72ZBSsQAbJwadqXPApkRWGp8DVgl/cBaaZETkOj+FmdnnWLigwvWWy2VKU6UzhyJ3Pven5/8Ob1ydTJNmlF4pCHPkeaGWZPXKe/bl15tFmlpTwncKv3mW/6VYTP7zIXp4DJ5VU2Eqh56EAhW8FD22btDWMvV7zJj56rtPMLbiatNjWPF8uyXdD9x/8g5TzJzde8zSyrN/fn6P5XLJxcU9OtNxdnEOVppipTXOWVISYW3KAQIYp0sjfWzMAbkudY2tHMM0UlU15qLjzXfe4UPf8+znPyX4ETtU+NVA065wbQLXCcJfkH4f/WFTT+V8HSwmcxa/WK1p2wUxeeEeG7kPzWRxDTgr9nVvvPEGj197yG6349nzp/Ln06dst1vquuLi4pzd/pYqNzLarSqGYeCiXTL2e+6tV/R9jx+2rJcthAFLJkwSux2TJ2XxTNaIbzBaSaODRed8oGUBhDABIykHUp4gS0FrrVDjUpbCNYR0R7wzo8mJJD9b1n1rLdkXtFqJv2qMkfP1GVVV0fc92+32jgd8yuJFG1MmG421mkobXFbYEleuXWKaRnISQEWQv4Zx3KFiSRk1jv145G/m8rpCbXNU5BOk0DHtp+KRLNdxHD3oUaiExmJMxtrMMA7ic6vErowsVK66begHj7YVY4gMNxvaeoF1lpvthhAmuv+Xujd5tuy60vt+uz3NbV6TmQAIgE2xijRZUtEKV9lWeOhm4IlCE/+FHnpUM0VoYFkRlu2IskIWS8UqFwEWkQRAJPLle+92p9mdB2ufe1+isTiETkQGkM27zWn2XutbX7NekYvizcMDznf02yvmOFFqWI8BIlBiIhmxl7NavHflc148aq21MjHTEgLlcsQ4Sy6REBStbathgkJbg9eWKe4lvrztCTkxjRO+bSptMOOqXesUAk1FdOdxQhnxnTdaS8pkFqcmmffpr+xXdX+2suZP0yR85pzPXszLs7JMjr+KLBvjMaagtCDM8vdVX5LftoSNQXzoSq1hnl1dcyyv+XJX0fL2Ru6lyp0+Cx7rvvh0artMCIC8wwAAIABJREFUkZd1sG1b9rsdx+NRXILq2j7PIohft01NxhUnD129wgXkSBTqhMU75uOIUUqcYJb3rN+tUM57fyxWBI2pIE6Khn29j2+utmjvqGQ7objWJEapA6RhuNudOIWJrJZn+utH47xoXZK4u4RFp+MLxFQx7IKu4tyiFKEmJy5Tzj/k+E4UyU8XgVxv0HaJUY2VSaq/XuQth1kCBiK1+tXMBMAgpczlxk9ZYZMiJ+FoCWoYq/NERDmFdupsBxNmga5kYbqIqJbC8bg/sbnasr665i5FjGvwXorkxVZouZGzAqd1FRJlNtsVQwqEMZBjlmLdGsqQwGloDBiPbnq6tpUxSJTRBtRiq7xtoZZzxtViNj4p8JPmPOpeitzmSTTjVwvLp6gxcHb4mOdZOKPOCm/8ic3OMlZfRAvLQ9w03RnlXhBjeZ8LNWOeRbldkLhR5xzOCKrfdP1bBf9SIC9x1cv4qZTCVL01M5ynCKb+rHzWyzkwqohkMwkqWioKXWqinFYaa9+mkiznLqUk9BgrARFQE/MaofXELBSAlKOYO8QsgKvR5BgqN1rGYeU88vWkYpjnUivOhFciJpMWvYo+S8E2LS4X0hPR5lePlApzSsIpW69wnSPozOOXX3IaB4YY6PWabAWxWd9cUQ4n5jmK1ZC5UCpQ1BGskphJZAFVWEFHzqb3gsbGnFl8YCly7+Vc49aVQiF2id5YhiyxqFZI7JicyTHhaiKZ2EFqjNLEb/FLL6qQSjq/X8qJnAW5yamAymgNrmsIKVGKxJMuXtoP+x1X61uSESqM0h7btAwhgbY06y0zEWUKt7c94zDz4/evmJ61fPaoMNuWf/Tnv+BYFEG33G5v2G63eFe5r0g63zAP+GTZWGlCjJsxueCUpsyaMiWcpqZxFnIVbimlWK17rLWMMdL3PVNIdCvPh3/0A9abhn/x8mMeXv6OVeN5/uIFvrsimzeo1Yp31+8TYyCFSdA9LYE697uTiMtOp/NkJofEixfvchyPZKDtV4z5JDz63PHOu9es+zWNjnz66af8b//6X8rGXQr39/eMg3DQf/Uffom2lp/9/Ke0rcd7z9X2hof7e1IOjMcD//fLv+H3Lz/iz3/8DjZNGJVw3vHmzSNWQ4qRqANdq/mHl1+yOx1AJX72058wnDTZGNCJkisFLUykdKSUSEwjJUFj1mf6BUDTNDR+xTg/XkKa6npVVKZkeTaVEmcUm0Rb4Yxh3a9IJfP4+Hi+39drQfN29zu888xFMcSZgYJ2BkrCakscJkqKNKuORkVynvFYctTEkElOcXN9y6Z3jOOJec6sV1u895xOJ5maeUWMSWKHnSCxgiyPvHP7HofDK47HR7xtcLYXqz8k9nyaM845VqsrEePtTjhn6PpWKC0K+nXHadoxnAYJWSGQTkkmutoIWtm03Dy7JWPY7XZoq1BOfIobZ2m6lnkaGcKM0wZnxUatacQFZBwFjTfWcjwe8d6jbOHu4Y5139J1jhQChyFIKqXSTClSiiKqgC6Fh+MjIQo1YAizTAx0JsyzeBu3LXev7lhtNyilcW3LNAdWRmMROltOmRAnCgv6m8ghingQKI8B7xtWtmE8HNFaM6s6/dRGtCYxMM1Ddf4wKCzGiEbGGChIvHPRBufaank203jHFBLH45HbZxsREYfEdBrYZoVLns6siGGiNWtSCLzZ76vwUQCzEOMlcK1aM5aYZJoRJ+Jw5Or6GmstH3zwAY/DiZv1DTEFfv/Zp4R5Zv94z+2zDY2zGCMpdSkFIOMbi7We4/HAbrejxTKliOk6lFIcj0fWjZOaJYtep6RMt96iukw5DRyHkwhjV2t2u0fUOOCs5tn1FZubax5e36Oniel0lD1rjlxfbzllxRQSXluOhx3cfn3Nt6lQYqGERMyR6BWqtWxy5P4kfuZpJU3DOwHKHGidI3r1Vt3yHzu+E0VyoWCMlC8pSWxwWhwNoKrfv71IDlXcZ4qIoHKRlLMwhvMNVCjCpSqCLEUyhziw3jxn1Xmsli7GG4u1DpMzVonAJ1MkhSY1UAwpLhwgRdAzKmZURIpGnQUFsY48CSdt9hZSwBVHzKpy1jTjFEk5yXhq4SQWKMZgkHhTXWQ0HQqULA1D0YWxRkq7bMS6DYXNgtRFUwSdN5cO2RaFTlKY6moYrfPC8ywoawSZNNVk3j4J1NAal5TQNrS8X8zpzMUrYsGMAmIIGGNxVqNV5RZrR0YxV89SMVICyFhjeXy857g/EFMgJUPTdKSYUCica6FovGvrJEA2FLN+OzXrwp2WEI+iRP28+CbmLMEXSunqQ1wYQnyCmCsZ1SP8baUQdLjYipLWCGvAYFg3lru85zRFwuQwkyWXR8gr8QnlRCm+IhWFVAtRCuKtqhQoUecKuiz8PeF3Va/H3EENHDFK4aploHTBGe20jCTn6Rufi2mewVhyqmiHgdurG+bjwJwipXq1lqBQjPRmi+oa7k4zKRR0jUI3tQa39Z7PZIoy4vWbs5wbI76fpt6L3nqSFh6bLpdpR86X6cyC+Nog4pXB1HtNVzSoyHdvlSTR5QQr+83Wf7rIJrfQB6SBy6ADyhpyEd0ApdoUaVs9NgShOY6FrDqOx5ntao2tDVbrG5SxhClS5kKsjV1jPcN4T4yB57cvOB33xMd7rp+/xxevHii2Z+RAakas1hJ5PkkKWdGFbGQqYRLnsItsQDViiF9CIitpVFKRpk8XdeEi1tH7OB5lHL9a8xd/8V/x61/9ex4+/YKj3nHaPOLXPQnNQ7sjTDOqBBoseZTvEacR7T3TaYdzjsNuR28Nb+4eWa07Xt99yaYX0c5cCq11xOOe/Xji5csdx9OeFS1mzHz+6e8xxvHO7Q1hveVf/e//Fy/e+x6H9zK3Vz3vv3fFR3/7SxHUTlesV45PP/ob0nCPzhuUTgQtKOakCmU80Xcth3lku7rm+++9z68//oiX//AR3//wPbxfszuBaRtO+wObpqNJkd14EjvPWTHPEdcGXOvQGEkSdJppfCCngu8blIHdcKSYJGFTzhCGwHDYo1HcbBs+v7tD64Y5pLPrgkExh0AJEW0sKyzjFBhjBGNwxZDmhF/1aOvYDzOuKB7vHrlZN5imIZE4pQFtNb2DKWXSMLPtO4wvHA4zj8dHpmnAdx7jPcprUjDEDFkrWt/ileZuf4cqCtusAaF/NN2a/X7PPAUJsaCQ5yOFgveOTGR/3OG9xbqeKU34dUdxhjBFhnEnIijrmaOs5Y0t3Gy3HIeRfit0jiiMNUHFS4FSiEG0Cqazsk4FWUe7dkspSUCp6qUcS2aYJbnSa4VWBt9ooSkWOA7jGalOaeI0CkLebdaChleRNimTcmB9fUNsZqZJ6DpWQVSZWDKpiE4ozpCSobOSQ6BixqKleJ5m1GrFlDLZFJkIajDJC16RlVi4qkJUQp1TyjNNQktY9QKohWgpxTCkI8fpkQ83P0A3LXOGpm+JyuL8jeyTJkGITI+R7aYhx4J2nqEkogHrVxhjmMcIzFjAFs3xcGS17vHOkyj0fcscC8N4Ik0j666Fkthoz35/V8W2a8bjiVwmhtPEMR14fnuN85bhBOM8oUpCu4JPcNOuCIzMc2QYI7bt6P2WEAfitMVpQ0o76J8zpwzeYJzFBqGjtMUyW0/TrSgpkIPoLg7Dgav1FfPpiNIW1zes3ZZSFKHWT6e0+ub9LSi09mQXCUmKe3WcORmHVg3OFnQMWKMIjXiEx2GPMU7Q+z/w+E4UyXqhChQoqo6U9TJaXTx/v71IfvpXpY590zLeBRkznlHqC492EUEsCOyCVsYYa3qWeCqXLOO5p56159G/W5En4SilJMh3yBFtRRQ41dFl04i1SQiBZzdbKeZzpssa78RODFWJ8zGhjEY5i208tiJJ2miMc1VWVtFHUT+hSqFoKZJzuDhJQBVAnr0cLv+n9MXhIdcCXNex7BmvqwueFHXqMlrKGmINvXiC1GtnSTkTkxSgyugnSOfF3SKlxGmeOB4O3N/fieeltzi3eouasaDF8lHKWXhzNq6v0gJn7BnpDCEwTdNFlFOL4QVtDlkSeJbXPFMBjNigiTWTnJkF9dZV9Ld8trZtuL29ZvIt+zhxHAJReYIS792SExCI9d5My70NqCc+0sv5EGpPpbVUIRxZkG4q1UEEphAR8aeqTQK++cbnIqXEFKUxivWDNE3D7bP3sK7l4c0XlARWGRgMj3c7mZiUKMUZuVJ6zkpF0IV4DGcuml3Ge1nGZ5LLhyTRtRq9uKRo4dIbtSREXrjJuohAZ6Gi5FzEcUaB1oaQRADrvT+Lf756NE1bx+jSvDnrkDMlokytZWQ/DIM8j8agKZiUsb4jHEcO94/cvNMQQhbRWBVoqZIxutC0nhhElGmMxlI3gL4lnPa8/Pjv+VG/YlXjXGOM+NadY5PRSMKmMDwuI/on9+E8ScNjrCHlTF4WcyPncnl2lmmGtZ7D4UAuip/96c95/51n/Iv/5X/m05e/4pPf/h3vvf8htz/4PtOnr2iahlADG9ZXa4wxHIEpWFIJDIcjp/FEMp7t9ZbHhz3pNPLq7g2NdUzDyKvDgU9+8w+Mw0CZBqxTGBVZr1asV1ese0t/bdidZm7fXeF85P/5D3/Fm/1ruo88z29vsMryZ3/2Pd653fDZds07HzwnnGZSDgQqTaVfCx87J1RR9JueP9n8mN988jG/+ejvef78lv/in/wTnl21lKZBm8BpOKJUpGhFSooxyokOIeC8TLKmaWIaxXZOJt8Z18jakUvhtBP+5arfslpt2O+P7HYPWKvRVoOKoDKbfnWeaO32ew7HIxpHSJEhJVlLtaYYTTyNzEUsyvCK2/feIR/3YsPXrujaFafTWCdaVB6zUBgOw0k44G1HTIHDaRQrtlwoKNI08/Lz36NRXPctcZ7YdJ62cUL7SzO2ackhMKeIsobVaiPrtVps5SamWdx7nGv48v6REAqN8/TXN8SYud+dCDmT8kTOlsfH3+F8S9KgrGLVdvhWJmopBHKMeN+itaQY5hQYphGfJJZdKcVpODHPowjbN2tZ50thHCasUTTrnmbd8+Vnv5fEylKqFgLWNzeEENidTvR9z1UrpNU3b95wfX2N1prNZsVpEnu9EEScNp0BBel0tNYc4yxuQa5SKq7WrLRhtzuglOb58+dCqXFGwjay0Ja0Ee5tYx3WKLROGJtRJeCbjpiyiB0BbzogM4WA9Q3TPOOU1BBTHsTqtCSaVcOb+y/ZnyzaShS2LYrGeIKBFCLDcMQbSzEKmwpaW3aP+xqZLmmM6+0NnW8oKbJ/3HG1XXNzvaFtLI8PD3ircNue/T5RssRuv/riNUbDdn2FtpIRcHzYYY2h61riGFFF0fgO23RiTWiFAlWMYrXyxFxotMYaj/cQs0JlxWgi3rWMx4GYAr21xHBk3fXYosRXOWXicYTGn5MCrffM8zc7OKlciDkypZlUMsZV3cocKygjWhRV14AYcqWQ6LP4/g85vhNFskgpNEktnEV9pl3AQgX49iL5zG1cfo9wHJfXlr+W13jKafyq/+JXPYKf8qQXG7DFBUFphTaKOSVkin7hyeaYz84RC49MxnaX8JE4R3LJ9EbQxkVkVipvz3hXHTIyJQSc9ZVJUlmh9So/DVkpFalcCpen3+0pLzfXn0kVJZfvbt4q2L56fpV+6jWozuOqp9foqz935lJWSsTS6CyiujevX3E8HAhhQhXo+lacOJ6I6hbu8FdfczkW4c1SvH/T+y/fKVaRX8yJ5Sl5SuMQm7pSmzYZsS5MngVdPt8PdawVcyEXI+KMKuJD6XMwzaKsX1y6swIdk3CXq8iMM1+0SrSU+HLnnGtqX5HJAkVEgovPshI+u/0WEYK1HpWE+52z0EWscXSd/D6cdsLoUYqiDPMwCm/P6vq0SJG8EIlLve7GqEr/qMi6UszVWxyl69SmYJ98rPMz9RZvWISWaeHVPbnfCuJuoJVmylH8cLWC/M1jsqdNrtxrskgqkEf/QoaWBllpDBmVBR0fTwOHwxFeiGvAwm13zlUeH4LUpIE4S2qTVhbnwGmDVYov775kHI6YRpwkCJqUPMVeaDXnhrwsrjtv38+pNs9WCbpeajEt9phvr0sgG5T3DSklhmmg6Vp++tMf8Te/PPDv/90v2d9/yc+tJvg1/XrNlAJjmDmOa9CKU+Y8jVm0AL4x7Hc7Do8PtMDd69f8+uWn3N/fc9zvWPc9z57d8sGPnmOMwujE9fU1ORTmKRLKiPeZH37/PTKKTz/5nN3+nlX/HnGK2MZwe7Xl+HhHZwytNaQx0ngPacYUhVPy/OUYoSQeH+/puo4f/+iH/O3fDnz0d3/L8+2a1dUV/bNrCUPoFFOIwr8sGW00KURidRlawJLluqZ0cd+RSUSueg9FDIEYhS8sok7kmdPV2QeDVoq2bYV/jDR2SUnhlHI6RxU3Rb6LUqJliEW4radxZjiJF7KuXM/7+x3OGdhcEWZp8lRRWKfRWVHQxFRpZ8bQ+JYUZk6nE0oZnPMUbUgZdC7EOr7KSlPZTBTllvmWPMNWvts0BeIUMc4zDEdOx5G12VKy7HMoaZKnOTBOhWHO+LZBF020EXQ5C/WstZiuoaTMHANxnmiMwVTbUecMa7clTA3H454SE33bo41iqs8zFci6urkm1angOImo26dYvwtoKxSOruvoe3G1OB6PtFV0LZomh7XiHqMrlzsVhIqFYi5Fgi8Qh5tIpl+vqxBzPq8ryz1Q6ufTClKOpHO9kVFaMYVRkMu6l3nnUEqckWLV12gtQjjlpGY4Hg5op8DAFGY27QZVCmGeKdpQrBXdVRaRuSnm7DmcU2I8RayVQv+0P+C8Zd2Ls8dut2OcT7x4/hytFPev7ygp460jJbGAO04jMZazlaEzBqwnTiNjkf2Aak9aQqAME856qoKLRMFXHriigDZ43wqFIz+CNqQQCXNkCsKJbtQylRcEv2tb2UsQCqa1HXP6ZmBkcSAJKQr3fQFgnGUeZowCt7Li7czi61+1QF9Zd///ju9EkaxAxlzIWDlnSDnUTVT+zVcLsKeHq0XUOQRCwZlboRSqciO1Al1PZC4XX2HZJC5otZzAynvVTuxyQiS6mVIalBLCQM6RmDKNtkIRSCKW2LSNfJYsHLAYI4fDgXevbwV52O1wRnN1valcV8UYhbzf9F5MvJ0FL0bbi3PEQu5f7GSo77Gk4S0UFZUWDvSTIlmpWqBklnnhIloyRkYjSmtUljCVXKtDXZ6EhvB2mt9ZLMilBplLEEQW3iq4he8or/n4+CAbSxjqV8iMpwHnLb03WC2OBlbLeC7lgFUystdGFj3v5JpO00QMmZLdWxzlEAKn0+lsni58ZUHRJFWxnHnSZw/mcnFhSCmLoGXJRUn5TLuQRmPmNBzYH08ch5n9qGHlyVkTS4GcCCXhtPDfSsrV6qwwlwQpob6CiqpShXqpOncgAsJcKQ1uQdQBXZXfZL7WHCyH955YBRohFUq1F/TGst702HyNTgE7D+AtU5xqsVqjPssSwy6vF+vEwmsRL+Yi/sYSt10LOCP3RZgDaU5vCcIAcVxWF87nmWNe9EXAWzcRjCxqpiKopoD6liJ5GsNZ1BlDghiENuTExaEQKIiwxzpDzolQIkZnCdAIgdcPj5TyjMa15JpkZYwiZkn7EjcEQ6y8d+scne/IObHxls8e73j84jNuP3z21pQKZNI0U85R7EZpHJocIqVOClJKTEE+d6dqUEad0milxD6pSKO92Ex56xnGGaU0Tb8iDpk//uk/4vbZC/78Fz/jk48/4uNf/Tv8i/fknuhX2K7jMO1IKXHbXzOOIzOLHVXLEHf87rPf8ulnv+P48CUmZV7cbPlvfvFTNpsV11drQbSmB7arXtJSc2E8RJqrNf/217+m2Wx5cbUiJcPVT34MpqF3mrUpXHWWj3/5f/Dmk7/hT//4B/g00HQislalEFP12tbgjMI6j/WOEEf+6Icf8vOf/DF/+Zd/yb/9P/8NP/jwh/TbK1ZXG6I1OK+53mw5HgY++90neGe5+d73sNZAjd6dywQV6U0hkIo4LahUaJSsI8MwE3PBuIY4CxgRQ8RoS9ayXmmt6dcrtLPEKEX1nDNzlLXSGY1VllgCSsv+hlYcHnd4NJu1FHRxHJhDZLVa8e47NxQF9w97lHa4rk7GxghGM51GpnkWZHUY6VvLzdWGftUgmkYvLj0oclZEVadhyD44xkSOM0qVOonQtN2KUgrjNFOMJWQ4ZSnw3nxxf0lOpbDZbAjTjvWVoN/dusN6QxhG+Z5KmltywrUNEEWYbg0hZfI04Rongjut8LahngbG0wRkmUJpjZ0DY52+3t3d4b3n+mbD6XTidBwwxtHZFocAJOM4nveE6+tr8iyvl1JiOE1gNDHN9G0jmgU02mhUFsAjZfmcwyziyNurLdY1jNOEs5Y3d3d0XSfuW6kKmr2FrCtNdHGW0DLVtQpnZAqcqjhSa4lbt1ae4ZIVw0E4zWGM7NOB8XSicw1pCoQSKdkyaUVJMiXLSHhIQeO1OKkYKz7lwv1u2O/3PD4+8OL5LW0rHPHHx8DLj1+yWq1Y9T3H44iuQlaMxhkvOQWj2B06Bd46SlHMw4zSCUmt1eQEIYooslvdkInMIdH20qQptQj9RTBp+xXxBL5oVNHiIZ7AtZqIomlbYhpw3hNPUjc9PDzQ9m3Vxnz90Etj4gV1b5xDoxjmQfRIqjDNMzlHVquNaGeskebYfONLfuPxnSiSYRGKyTi2qHxWu5szr/bbf3Yh2id1Bghxxi+S5KoUV+giYqyvop5SXMHijWyseUuxmlJiHEesf9urcFl8nG9o2/a8Kc7zjGuEY5zGEdSisLbCH/SGzapnf3jEdF4oBEEKUVO/dxJS6hOk923Ueyk+TLy4COTF4i0hqAmXAvU0TzgjCW/O6nNReBlxZ1QWP99cIMfLOMoso5CcMLWwSRVBV0rG8UuhlpBF+RxYovWZ5qBqcT8MA+M48uxmgzWG3/72jt9/9jmn4cj1+orNZnOmwyilMK3n6uqqnuMqoqzFvVyHmd3uQTZW1z75cxnZLA/TgjoXXWOrywVJKqXyRYtYSomAT2y4LnQcIC+Wc4br62te92t290XQmSI2b0oZocigpPN/UuyUnIk1bS2GJT1LzmlbExnz+cpB0o5cPR1ztXKORPH11SLM+7au2DlfqQv5bKM3DEdCGYCENQldAikemMlkndHOE6JGFQk1ocj9Jai2fE4ZHApf1tS3TlnGoEsRKL7JNQIezmixfYL2LtQBfW5Wl2deLODGWix5Y3FomCL+WxbMtu3P43StNcMgY9XGNlAE2Ssl49CkFBhSIJeM9Yar6y2WA8kJLUbFTNt1jGGWBVUFXNOQcsAYxXa7JaVCiBIDnVLBNpbeGobDns43xCf3fgiB3jfkfLFNtHUdMvriGKOtEaV+rojmk0lUQqYJy7lL1ZrKVFGSLZ4cj2Adz7/3R3z5+kFSx67W/LP/8b/j3/zVX/Py5afsDif6fsUXr14zTRO3t8/f8uAtpfC9Zy8Y8sCf/OB9fvxP/zE/+OADjJnIKXA47NDqwJhPbFYtqICzDl00D9MBozXPup6Pf/MJo+1ZbZ+xWt9AzsT9gZef/AMfhz0//tFzfrDpMOGROSbcdc9pmtn0N4zjScSsVpNKIOeCU4W29ezu77mbZv6H//6/5V//y/+Vlx/9ho///mPee/8DfvSf/QmDGQgn6LoV7z97D+sUixf6etWLIHu4Z55j9dWdREhGXf+TY46REESWOs6BNDls37E/7Dmc9njneLZaM44jh8OBqSTmFGnNmqISlkSIIj4tGpqblUyexpGrTmgFx3FkmiPeGd598Q6lUin+31//vYiwts/QyhDjRIqFkDO6OIxtabSnKGnAVUq8eX3Hi/ffRa8aPnv5kq4xdMaxH060ztO0HbFkjicRzJWqqRnGo+hK6lo4LBaXaILWRGMY50wJM63zzPPA7fNngl4XjWvWHKY9Jms609H6BmMUKQSMcviu4XRKTMMgFn0oiEV4rr5hPB7JOrLdbBhPAynJ55NI5ol5L9QSqxTfe/c9hmHgi8++oG1brLfkFFBawiHajVi0nU4nVqsVr1+/5mrV4VwFQYyjaMMwBozzlDLV/apAFYqvNtIszDnW8yOfxylBppumQSsBVOIsO7OKoHRDirPoTzQUEpqA0pbG99LchJGcROinlGE+nWgaiUwf9zN5ApMdNjlsabAhM+wPFJXZXL9L0Yrx4V58nZ2n8R1TiMSYOR7v2W63WGcYR/H3ds6xWa3F17sAZMKQoThe/f4NP/igZ9vfcDjeo1UmxsR2vSWFiTBFVNE4rdCqkOdwnrYUQW1kkl1rqGma0F5Q42mOaJ1pfAPW0vUbUsjMWeoiogRpKWvpV2uG8Q15nthu1yRrmXJkHEWIOUxCxbm5/QbVHuLuEVUhW4U1lVeeBfzKUZrKruvwjeV0PKEwmNZLg/OfGt1CRqlS4Rut0Li6gYMrgmSFb4neBfk7mfRqEbChxPReCTVBKg5NsoopFRQJa6FtNQ0KUiQVI7xJDAbLXAIlysbVNA0hJHKYCfNYeVZeIixVQ8yBKIaLglzpSMoTSnuca5jnyDzAwQw0PtD7LTFMbLqOkBI5zZXvqcjOMOuCmSfMMKKmSGQWMV9xYAwaI9ZfSooyU8cIeqECpPh24VRHJ+dgAmUqspDPfHCNEutAJd69thbh8zxTskRD55yh8n2IMOUJoz0yC0iVjgCogrH67BE91tGKKonT4ch6vZKHulHEKNG+1ltev35Nngfm6YT3kixVCqw2KwiJ0HXo6l+9DxJt2rYtOcMwiWepthIQ0Pc9vjpNjKFSHqyp6Kig0eKzmMmIfypJSDqS1yICv6JmjDXEIgWqSpk0B+ZYiEGQ6qHAaaXZa4dXioRlxqGJ+KxQKmH0zDAlSnY4XZCL9fF0AAAgAElEQVTMe7HdqZeIRBWUJCnmjXeYLIl2OWdSVmc+dswBspapxrc0kGnWFFpKvV8ykWQ8PQVLJGFI2jGYnmHO2FaEmHOcsQpGJRGjRkeULuhkKCWzs+JLS0ystMMaQyoXVHwZZ89WUqxMgTY7aU6UNJJhzufR7FBGiaCvK1dBxrumWnslAphq6Va+GUmOSZ7/xDIlkkZzJkMCG6ThmxG0vGkcoXJ+m2gxTcc7z3oeD49sm2eUaQYlhb7zFqc0MWjmOdD3InxwvhcP4eEAJeB0wJdJrLf6nlYnVloTY2YyG7Z+lMLWWhKRlCO6XIJ1QqibkdbEJGmgizViY/QZpR9mQcxSSbSNpeQJawxDKsRiOFLwW0MOv8MVGMw7/OOfvctPfnSLwvPq1SvGH1/Rr1pCcDS9I6RQ7ZeusNry/Pqa25srhnlPijtu+p7Xr++JpxPWWlZ+W31jI0VbYin0K4dvIs+ePWO9veavf/V3/Pav/4oX3/uQdrXh8fUrrlrLn/7kj/np93/IeHxDQTyJU8yScBqPlJyZkD9zZcLZRAiCvFkvLgHGKf7pf/3njOPIw/6O/XDHr/76EWNf4Bt4/mJm8/0rjBWLL+9aUcJHaWJTmipFQpGru4G2HVENhJCYZmm2yjRzKJFnbc9zv2U67cjzxME6TkHE0127QoWZIQ6EivZ771E6kZgog9jZ9euOkmZOx4NM3JyH4ng4COixvt6yPlwzTBOpRJSBXncEAipFlFWEHAglcN3fYozCuoRTKz6/+4J5DKy6FeNhpgRNmDQHPXN91cn+lcQf/DGIo0m33jDPM68rkmlcQ28L6fhwppytrMOte+4e7vGt55Pffcbzm46ukyG7SYnWOa6aVkbf8yRTJvHrIwUR7iouFIX9ccCoE9vVSrjgWpHShFKFECfG44H1eo1atwzDwGq1whiNy5ZutcZ7z7Hyb/26J+QJOwj32ChNOI1cXV3h+57PP/uCvu/p+xajDF4Z4vEkQJYWN6ZDVFhnaZypftUCmjTe1qIw0Xjx+9cqEFPGOkktIERsO5MbQ04J7Tt0nWhJ8ErBKoWzHYpISrInKaMIURNTwDdiDOB8j3WOVeNI8UiOkZQUr754OLtniF3mQvVIRJUoJnEcd9hoKUnWEefknu67NXOsM3YHTimuVh1v7l4JVcYn1qs1u8c9X7y6p+/Xsphay5gkdXi1ErHdPI9CU/KGrAvWdUTGaiKVCUqhncEoCKlASjibcB7c7Niur3g4/V6mmbmwbte4dMU4H1lZzxRPxFAoYeaUM7ZtGGPkg2cvvnGPc+sGNR4oc6CwRilDI7sFUxwxytH4W3LKPL/echwHESRqfaac/iHHd6JIhupgqovQAnSuTIkLX1Srby+SnW3OxtIa8WtEVW+9os/8XUODNhUdLQqvu8v7Z0lUO3NOy4Iqa0qxOGeEXhEjpkYsYzQJQ7tu5KFsOlKemYMEKywiI6Wk+EopEZMSRDYXrPVIWnQh64vdVowzjhp0kYKoWK1EXV9EcJe0uqfII/XfnlHUKjB0XVt5z0A1cffuSfoPFYXXtUip3XQxiFhrHJnnGa0FDXfW46sor2ThaVEyRV9y6xe/xcY6xpiIobo5pMRpGnj4fMfhsOO0e8DozGblmOeZ+/meUlT97GJB07Y7iRvtRJ3rGkHmm74700W01ozD5bpba7HGo0IVa5Ry7n6XaUA5I8rlTDd4aql3mmescxinpX8IEEtkt3tgfHgQWyztmI4nou9R3iPOaYqSgngLK6SpMQV0qKpu6dKLuVisuSL0olzEASJPE7kWSsLTBUqSoJ2ypEl++4glmwJT9RHXYi9nyIR4pBQR18QUmEIQ3+cUyBlBCkxCzVn8aavzTLGgtfAZs5ZnZkgBUxK6PLXKE9QeZSV4pHA+15V5L17oplJocjr7VWu1JGVe4suXxKVMofhvdreYpqkK96poo05S9LnQljCUOcrz7a1BI5zu/WnPbS8R01ZNOGeIWWJoxSktib9mCBSlcDWEQmtxqOjoGIdMjBPTGGhbT1iaUuPw1uOtQWmDq1SJt9YddZmKLPHtbdeRARX1Od0NLmmUC+9zmqav0MYsDEem4wGVNJv+mnk/4ZzwrPu+pe3fpW0/xHmx9Coqg4GSFSHBdCyktOfx4Yiy4mby6eePhBBAa/r1WhC3w+ESpJFzTdQLPLveElLiL/7zn/Nf/vkvePm7z7DF8osf/Rl/9KMPIQfCdOKxyXSdEfHx/R4dI6eNJLkpHYlkjDWgHYfDgcPhQOstzhju7+9pbKG/avnn/9M/Y5qm6m1tGAbhJBsjMlKlpVlv+o5SDDHOQqOJSbD5lCvvVNLDtBah2TxlcjJoV7h784p11/Peey8YhoH7hyNx8do+HjH+EoiUkqJpOlzjxZu5cptLUWhl6fqe1mqGYZBQiSD3+f44UIzFt1pcFjM4siBivhNRNIUuJeJxYogTq7WX4A/bUICHuweUcUwpCbf4OGCtpW2a856lk65pi+NZPHw4HvGtJPIp01X+cGQ6HOBw4qpbiRDVeu4fdmjjWK1W9Csj67yxqJRwrkE7ef1hGMgx0Vix8+ycTE0fp4kcZ+Z5Zk6ZcQCnpLHwjcPIgkHJhr7bMo0z77//rnz+/JIYI1dV6Nd17Zl+JNoUeQaKLhyGE82qwTjHFAPOUQPAPL2tlMmUcE5yDF6/PuCcEceEXJtrq2kaL/tFEuRWqVwXRBFjpwy2TvYyhbKsQWrRDogGJGcwvtpicgnzsrohl8ww7glRsd60ROuYDhPGORrfME0TYZ7Fsq8TPUvTePIodAuJpS7ElCu/V8ukcZ5pWrnnS5a9FzgX0fOoCCbTdSsO+98zvNmzblowkuBIyhTrRB/iNElFtHFsNg2TjuRhYpiPdNdr8hzZrDxjDNXtShGjgCErb8Ab5vUKmxr204nfv37kw35NsY7jOKCdJYSBoCHFzHq9pnWe66srePj6ml+mCQ8415Ctx5WMDompTu6XyeI8z0xx5rjfo7Wm9c2ZovuHHN+JIrlQxx4KUIsAx4iH7TkD+Nvx8cVh4a1DVws1+ReAeBfqZWNO8S1epLX2XCTLjy9c4MtnWqgJy2hSbNaq2E0ttBD1VqFFFi50oaCdvfhBL4KRWhxT/7sUtU3rsa2jcY6mcRe+dREhxoIaq6rfFwRXzmaMF//iS9Gfzrxh8fuF/ASdX9wrisoUJTY5Fz5xZg4j4zRitCNnWQRkhA0UVWOqI9o3WC08pFgz17WWtLpcuV8hyI37cPeG/f6RkkYaayhEvGnP10vVhkds+aQIDimiYxBvxlJgEs6pze5SJCzf8onV2FKMLMWxPvvtXorm5c+W6xOjiEOEigKUInelVoQ4cDjsZJNLCFqilCCdJUgSnc6yyEj7L2LALDSaRUiaqQ0hilIW5EJ+aTijh8vnWmgrl2v4daHlcqR6j52vcbl8/1REFHb2HamvJfVoqWdfkBlUqW4dIoaj6Po9lES9plzDHFX9HiJA1UVXu6Tl3uRMSXr6DGCeOo2o+ntBg5f7vSzf+Vv414uXtD6HcFya04XCElURD2ygZHkdWxs6ocVAU/lt05hw2lWBbn2PeEmgXMSi1lpCDX+QVDThIlslNnbaOpTzZx/ppShZjsU9ZRGUPb3OPFlHlNaQimg9q95TVXeGpcBe0Kv9QWJdN5srTHEY7YS2pgNx3hPniTFbTge5N0NONJUuNk0zIUYRYGbFql2hFSjlqvuLwnp3plDJey60q0KMMymOhHlm1XdcX1/TNZbx/sD2ZospgZBkY22cQqVMMRrjG7LRUrhqhc6FksT0X2EpRdYMsvi0Nk1DiiPDOFCM8FGfr55jyozSkTDP5BFpqCtosJzXQsJYxTBI4brwx2PMEn6gDEo7UImYIspKsTFpg1+5ar13J5NEa0WMN2VWfQ9ZMZyODGrA2q6K8kTlamoqnvEtc7XwxBi8EyqUaF8CISesdxLus3DwlXBStTVoawlVjHg6Vi/+VNiutiK+U5KE12w2XHkr1B0l11kXaLwUfdM0XehduaCS8MBjFYYB9H0LWuh1Wiu8t8zRcxwnVA25CvlCTbBOn58TkySlz1uZNjln8c4yPTxQSsLVdTnlzHE48M7zF2gFU10n5pDw3hJj5tWr19zc3LBarTidTmeXoyVx1Vc70lRqgiuF1ao/F0s5ib2sMnXP1+Jhn1TCOAdG9sizqEtLA52LIqR8Ths93/fKoIwVeqSWUClKrraNCuuaCm4IH1lpi3XlPB0CdaYfkrW4++RADIWcDHPJNTL7Iqwdx4DOWvz4VaFfW1bGnpMAQ+UkW2vRSqiDMR8BQ0wBcHIdswR4aGuIc+J4HGgaR9N45pqud16HcpbGQCuUSxgttqPeWYpWzEMhL4Bafe1lj1GKen1ApSj7irM1xMXK/pWrSC9GipL4c+MdTmk2NZEwfouncY6J1sr+H43CZvFrNk5LaI/WOGugWCKSJusXr/8npgP/seM7USRLuljNPC/pbDtVcjlzcvM31wGA2D8VAaxkY88QTEHVDVFnQWWzWoRroJUgS7ZatXVdI2PtJDeHs+aM6qYU5EGozqrngBAtIsPd/shwGrl/3NGS6Dcr8aRMUXiZJZHmwDgJJ3gKgVLqhp6lACimjlJMoOQRddiLiX17ohiL7qzwiV1Ti70Fac9n4dxSUBndvIXwpJQwJV8EatRiP87nwlHXxTxUu5VpHM4LUEqJ+XiUUbG2wqmaBhkJ4ur4UkzVv3jzSN/3Zz6mOAkYlII4zxwOOxpvJZQkDhgljgtOK+IsiJb3HqNdLSoczkqhjBHXk6GO9IwxFKshiV9pVtA3sjCK8FIWRF+LibQUcLWolMVqsYBbKOyXsBIANakqrjiiaipUjoHp/o6HL19x/8Ud9ztDaa4xzYq5yHt5Y/CqYc6TLNBRCsdCxBfp4kNFJEKKsjiLeBxtxWh/EWliLoVZKUUmLkUK8pzejgt/eux3DzSL8DMpUWCXxDCNlDTiSxQVfxa6SUkS9GG1xYr/GsXUpDchbUrTWTSBTNZaOMZZin2t6yhRSfGpk6m0J+Qza8Ucw/n8L+fZGo+q95mU2VKiK1MvSrWHQylS+uaFwHhD23gRwsUkiHeR2OxIZipy/c0y/ajiVmc0utFQJkyNXn3Y3WOQoBajxR5Ma03SlqZpJFRnCPRr8WS+f3zA6oZnt1vug2UOI43b4pxH+1buxxzIulw4x0vzujh7PGl0loI5xCjiWiBOkca0GO1wtrnwuS3nwnuZ4LTdM2x/S2qvMUWTQqqcyUyMI6WIxeUwTMTZkZIiZo3zhs42NE5R5og1WihmOUFa3EiEcmQRZwdjhAdZKt1CrC6DIIJOc/fmC1JKPH+2olu3PDy8wbcOrRIfqDVxmNGtxzzfknJCP+ywOqODUEpUccQ50batUKvifHbH8c6wXq/PlJRXr17RWnde58ZxFKpKV/nq80AIAWPkftYoxmmmaVpxl5gDsxJhlTYOlaSZJIDCMpxmhqOIt95//30Ow4kQgmhPKAxH8WfebjbSZpaCNpowS3hQyDPDPJHLHm0UjfPybI4iKJ4zDMOIcZbGd9URpZz1JzFGWCYYFnRx3O8eKPsKuKRHXNvQrXryOMganRKrtkNbQ9t1pJr+2njPkjSZkZCiw3FCOyec4DhjrOLD99+BXPj85e/kWocRbRvWm2uappEQGiyxQNs0GKuZTgPOGpquqfoR8FaR08SUZxrnUaqgjYgSwzQyp8gnn3xC4x3vPrslTjNRJ47Hfb2nRr744nM+/N5zShKQxnsRmqmS6duWUgqH6ic9hUBIgSnMlLnQd2umcaS1jQBACkL1H08xoLWIx7QBa8STf5hGoYKGJPWC1qCWNE+HyvKMWmOxrqXkIGu3d7i2IUUREVIUTdNWQeixPt8Cii33rjYKo2vjc6i84yrsPSbhQ3erDUoVpiDJtKkcefHsSvjUfc80TRx2eznnJgo3WkmJJ5Nf8U+Oc2A8DSijaddbHt+8YRxPbNYdXdewv38jezEao5TY56nCKQ6sVj2qSRz3B5rtDY1zZAxTSSyBCcZKLoJShhQLWWyPKM6T9Ciamlqs7o4j3gigpg2YHNgd5moh58kKPn14Dd8I/GZc21BzVDFGEUqqk0jBWrrG0TjDkLJQ4Nr2PNn5Q4/vRJGsUFAMSlhptVhZrM7qryfoy9d+/okXq1TTWZSrqir0FVWwl0gstAbQ5mIdVqrQaPFRLiQo5lyYSCBJPgvoLqikwhrZHOSmiOcNy2hFMVFCO3I8v1amEEshpIgpqtIcll5VxsshBLKZcYsNUXdBheEyplXCSzkXd0opQTHrv1m+m9EL0PwELUfcCXIp5Civv1AB4jyJ4jfJ+5/2OymSjSOnQggTRUnXq7UU8CEOEnXMZfRrrJFFBXGttdpglBZRSxlxuqAS5FgwSpw9jBKvYK21eB8X2SAURnh8Spw5igJVKSXKmjOKuRQQy2apFj5xocY7S2MixWVebqIz0rocOWcIRfi8UTr9NJ3IcyCOg4SzFE0oGawlZE0xtcFTqsa+mipiq5254MPn62SMJipV41zjGUPXpY4G6xhtmWTIDbKgz7Wg4pufDZUkkSnlmupcEGQjJUpN4ssVpTUlV2pIQVPRKeOkyEXiXE11pU5ZEA5jhMuuVCFpzoimnE6FRq69KjKdKFo8My/P7RPktF6zXIA60dEL9aReo6JynS99/Tij0strW4OqVkIGecZSKVhTPa9Vqp1lImdF33m6psUaQWkkmKjIiasOIvMTRGN5Ls5WTtqgbQMhXzj+Wtfm05JjeovOtTyrrl7fp1OP5RzK+ahx51TNAXXOotRba+J5nSyFdnVN022JbS8pdGmHMw3WJuYg50nQU8tm48hJKFvGFdrO8GYXieMITvxKk9J0usGbOtJdirowo5VhsxHf3Wk+iLdpuzp/fmstz57dMh0HMiIgNVpxtbmuKHEGXUgnET4ZI9edMqKKoNkxcw62Wdx0cs6EEYpVkgKHg6RxbU8MgXGaiDFgjCeGfPH6BpQWsa9RIqxNcxCE1TmGeaAAMUKIoXLbVRVVi4PAPhx59kJQ4oVHnkqWyGw0xna1sUIEi0E8iHUn6J2zTqYvpvoCj5VP2/TkMhLHgHEiFG+9OU8spmliPAqIcare78ZJgzSOI6FIAbTaGrarNSklXt+/QRfRljQVsV5cgLKqrh0pkmIko8kh45qWNA3MIfB4PGCr+0DOkgHgm4ZXX34p/sRXV0J1qiJzicA2Z5Q0RnG3cMaRc5CwjyBjEKdlfW66Fk1kzDUlbQ6i1VBZnFNUpu3812hHyx64iMhR6rxnpZJRSWiPS5S4tVZim1VtLKuLUBgEzCpVx/R0WizrmOwZOYsHt1GSRFdKQaXEFCKtQuztqu9liqWea/dWA7x8h2WqmFKCkkhPiracNF4VcqwgiJG11XipFJeaJSWxgNRa03fd2RgAIJdIKYL+xwDaOAlIUbIehjmIn7g6YKwSR6tcaBpP37ecplmKY4Ai4EfKEoDme8hEXM4yLdOGOSdac4m5z6lS5koRS0WlicWQlMZ6h0uRnBJDiugFLAA653l12mFaTchKePghfmORrIxGW0WIhZADjWvOk4CzVe0CLoWLy1WmoNwfXvp+J4pkKFgjm+2CIJaSKVo2M6dMDXP45kNluaHDOJFzpm9aDB3TPF0sqJZxukkUJrTJYA2pzIQUmaIULMItopqsi5gFqp2WrqEOSlFyxmXDHA4012uc3XD14gWHLz8jlcw8jHLTRIlMVBWBLUXhjCfHGeMdusi4xzedeChGsG2DayzGGSwKmyxNq2U8kYT/pWvBl53D5oxKUognBcXUAtrI58w5QkrnsciySVIsuUSmeeZ42jPMI/Eo5+x4PJ5HSzlnuhBBK+Yi8bX/H3VvzmPLtu15/WYbEavJzN2cc27zHq8eVUgYlIRUFm5J2DhIhZAQBlJ9AL4AuFg4IFB5YJVREgIHj5IQElY5SOAAol5372l2k81aKyJmNzDGjLVyn+bWxStCSu3ce2eutSJixpxj/se/+fT0SB0mvIuasOa0rfXmeMBEj3UOZ7ulXC5deVrZTYH5dEZKxiZt1YfN47iqyKvk9boBWZMiPVrPFGzne6ndncekAFRCAB/UuUAnO53UNi9eDL3tpdQQZ3p4TReGNul8CKB2q7icVXzZSsVWixXP58dPzJdnPn/7O14+/UApQk6WbEby8Q6fE7Y1fDSYYJA64Gg4V3uKYES8ojeIwYgjWEWNJ7nRf1prVKPepNb2ScTqNW1p7igbvd3380WyMyDyglTLclHD+IZOVLmNpHbGkxmMYW1WA2AMWN9t7taV6APBeJxx7Jyn1UpCNACkKcVBHBpxbgznRVuhVRreKgmqiagI11hScPp76Ea45ozZONfd1UE6n6DY0LmukVxWLVp/wRO6LYWUF/ZxJJdK3OmGpdYKtbHrHH9vAitJW3LWkdcL6Xzm/ld/xn7vuNtZbDSYVduDzlikOWoxxF2hsjAN77h7s+Myf2a3H7Cjxw6RVRqDCTxMkcWod6hYIdWZgMUZfVa8D53LL/iOtjn6+E4q+TynhdZ0AxRcIHbfZ1DxolKGQGygVO1KmU4bCVPATUfydIdtM/ZsWPNFebvOY42KhMPgISuVyjgL1fNyhvth5PNlZjdGtTqTwvj2PctyASO4oHZgOzdgfV+9nMWPk1InwsQ0qdvA6XSiYBmOe56fXzju9hqBXCtnZvbTiAF++P3fEKzhzcMdpWSaNXjvMA6cFdbL3KkLAs7ycH/P+eUzJc8cxpEqhsfzC+Zy6ulxgUZV54a+AM/r0rtxRhFbt2PaDaS1kJKCA5MbqNbxeJ45LzPDYaKdEiknHh4eqN7y9PLM7//i/1FOrB+wvS18d/yKGCOfnz6xrM+8Od7jXATvtB1vPUe357KsrOvMZX5hGCam46FTACJZ1IbvPF84LzM1O+6PljFqUfuYM5d55ePzJ5oE3n/9awZn2JEZp3csy8Lz4wulJH7z619z/Nt/zrfffst5viAoJS6YQEorxitiXeZEzosGYJTC+fzCbjpwni+cHjX0ZC3qBhLHPa4Kfoh8eHkC79nFgTQXPvzwN/hp4HDY4RF8n7cen58YYuBPfvMrjMDz8ggCo/WkkrBimS8L799+Q84rP7x8wJlCHCyn85k//dM/5+XxzJu7N7gwMExW10/n1TKwFOZ87pqExPkMd3d32M7DHjp6HgblDctayVm98m21V0rGklbWtWkoigWRjA+By0U7BtqV1JpEZKE5YXi/J6eVxzbrvRwmyEJZMiFGxFZKaxSzUsUQdiNehOW8kJMW/GnInTowYLJuYFKDz/NMjCMhRmaE2EG6GAec0ZAsOs3w5emESGXsnOeC0kTmdWUgwilRykmpL8Fju41lcEE3SkWYl0Qu6KZ4d2BcM+tlxk6OMI0YDLUmis0YCdjVcjy857Q8ESXQ8oCNjuqh5UbOFRdGsofgBIzn9Pn3eLfy9fuvyMlQzQ/UecHgqQbOvmBSIruBWQL58YIfPIw/nfP3hx13u4EPH35gGke8gxY1wGer+1rJWgOdLwxj5OX5RG6Vw/3DL9aTPz7+JSmSfyTSs/bKV7mSGf/AcbVQerV72H7tNdcP+i5HtADb3u/HX19+Jrm+jm6TXqPIwjjq3SvdGgy6RZkzhHHA+MC6zlRpnY+rLSaaDlLbFfRi1C7Let3127Gqr7PTkIpS+2cRsLWj3qbRqiaW6cndmNmvPYqtVd/K7TyuiJtoGtn2d4ch9e83NPZKt2hVkc+OXGANyerioMivft9eX69X9/X1vVI7sdvnef2zIhp2UjsKAKbbuPX7a287fe1B9NQ/sVex4OZ9vN2n6wOzIfmdZnE971f//+PPtPks2/7vG2c8pUTNTdXx1uG8x3bUzzuHc12g9pOxZa5oYevoIK3b971CKq+0mC2l74sx7G/XTH56jbfDhYhD+cIhOMCyJI0NFw+meWxzfVNhursL19S84tURZtkaWsbQbPsiJESLW+XavT5Pa01H7De/X5TD3mOptSjo116kU4Z+iolv41BtjdwXATZf/Jyor3RGo2eXzpF8jVYr8pShdxE25kYIQcVF1tFawoj6oNpOpzJierfEXlux1hoOhz3D6FhrwbnAukKulXleMT1J9XpOP9rjXztCV5Tpdl4iool7X4SHyE9+/5e46LqB0vaBpXcz6oZ43+LmU0qE5r58vSYUCpYbXxogLxdaLVjVDCFUqnSBZO9SbXP3a971tuErTWPh1063CSEQw6h8R7QwrEmdQV5zhLeAjDQrVWIcAjH4LzQXr+0J9bBfXM+to+aMRbgJJVOqOB+I1jOvChbUPs17NAVseX5mH9Wb93Q6gdeu4aXbYjnniH7o4y1f5xANUbCsuWB6nHwqOjflHhOv5xau8ywGTk/P6k4waLu55nS1IN2E0DFGpnHPsgovz2cWB4exh9NYy/l8xhrh8fGRSY68f/uO9TLz8qxcYPGRUjKX8wzW4+OACwPjbqC1wPJpZl1nSloxu+H6jBingrwh6DNw3O8xCCmtTD5iQ2BZV2prjMFznJROMgwDzhqen58pKV+DJKiNsYtgvVcKnoh6PTtrMTYQo9CqXLUmr+dsXXtuotfN+syFcG2nbxSkbS7YKIDbc9UMxC7MsyVTXz1TVxFtpxWdTifGoIFRrWlYTUkaNrPZr7bWR19foxTZ7H7BpWp3ufbn2uqf99NeRYyL8u5D0E7Dm/t7GpalFMIQr51RZ/W52zIYVG8lHdjpne9hJFgNWSkpsx8GUj5xWdRWb5jUtCD3xL4QzBUUi0OfK0LAjILxrr9vBKsccoMwrwuzUYGgcZ0bXAomDL0Ws91+VxOCxeiGpJalbzoGxt2kVMmsha2jUqpQzjN50vUq/IIThTHmilxXkZ6K7ODq6821G9CcdlDDhVAAACAASURBVN2tM0Sj3eo/9viXqkjeJq8N/VO0RVvP/IL1E6jor9bCGHSwl5w7DaGyXYteUuBsxDSHtPn6vq//vH6WK3/xVjBRm4owtsXXahv3NF8o6aL/3hcJadL5WNuEX1lTpmbNpo/OMQ2NuNNUsSaVLVHN2hHvYm+JCZnS2yqe0UcwQnTqULHUV8WoUURJSv2iHbWJS7bib1tgSkddNwTPG8sYop6qD9eWf7AOG/tA9Z3Q5yxerLZHAWO2xZxrO7+Wos4KUrtwTyknuahdm1T1JN5EiLbTKrQFKL1dHZCW8DV0AV7FBQ8NbWX5zW82YnosnohywTYT/I2Os31577GYa+tLJ+fbJsvY20QpoklMNc+YslLWE3k5sfMj1k08ysqLDVQcu94W1fqwaiCL6YWJ0a8mhmB1cpbWaRl9w2brTdSmi+HNQ/f1RO+spnMBf9Dv8f7+HklvKC0TRkXXzekZxCGjQ8pCWQrnxwWJptuwge1Z50PQsVlaoRoVzYkRdkUXdKHRarenMxZN3FIjeWMsrRZdUBAWqTQRDoPapqkPt8ZFG6ecNdvsFSFXEaumNIqIptv5kSI/zyVLot60xYK0ylTddT7RZ9Wqmf8QGL3Rsr+pvZun8ubhwGGw2FpoouK0LWBnzRnjHPvxjRYnS6K1zDgZlvXEw/17LsvMYXzAHiLNqXphKxppN7eeH2/Epb2mWDRaS6RSGMY7jEDaOlHGXl0/XosftyJR5zbdKJ7OH8nrwsFa9iEye4jJq8gv6EY2zRfS5QJRaQNScqcFCbnzPdOyXudUk17wItqir+jzH48Yp0UsxoAP+Opp1XQnHKvCuaAiuN1uIq+pd0X6PNEK0gpv376n5cTnTx8YBvWd31rnKsDxSkvo8/F8OjOMEamNmuo1HCjnW/erVl0/VpsQ0XEgTak0ow8k23h8/kyMI8MUEdNI55maM4MJHI/3fPfd71naGR+0bX8cD8Q44nty3IfPn2n5ibcP+pylsnKZM94H5AKlGIo89ffQnVPKK6Vp6p5B5zQwDN4rlSRlrA9E71i9Y8kJqlF6iNXQlbdvvyblRk7aal5b5fH33/H111/z1Vff0Erm8+fPfP/DDxwOB2Lw3E1HSk2sneohRgWOc+6UnqA86WHUIsK7kZeT0juO93cE69WibXlWjnj0kBJrKRQP2Mi+c8RTUneLaZo4Ho9YAyUteg8NSC2sSdQ9pjXifuT54yMBz7JUcm28f38kxh3nU+Fw2FOkkC8qNhyCR0Q3XtYp/1tqY4ijzrW1gamsa/dajxFvLFkgjINuRPxAaYLUhABeBkyt1w3t4XCn9CGv9IqcK7VmqBWRyuAH1vOFh4e3EANsnufWEXc9ma55xmHHkjQFz7IgVGJouKChJXLyTN4z7Q6czYVaK0OIzOtCrsLD23eYDkDVWqm56ObAWBU/osBDqUVFt0A5z4zjyP3+SFoWmoG3v/pTPn78SDOG5tTBI60LIpXdPpLyTM0LQzzQatU47GGgOV2vjscjmJ12I/zIcoHvv/2Wt+/vOZg9IQyspRDlqF0qLDZEUhNcDNTaON49cLkUUp65209MhweeBRZRS8vvfv+ReLjjcp55++Ydnx+fiD058ceH6xurOE5kG3l+fuY4euRVdsAGjBXvKVW9y6Pz2GX92df8ueNfmiJ5O658WbuFEmzo0i9XA2JQ8ZBR6oouua0XbreCx3SVsX7vXqExtz/hhj6/Bmq2z7PFyG5CIuVLg4tB/RutLhABixmHrv4uHcVRXmgtomra1rlLvhcJVsVpGEe3U8CZiiczn180uGCKGBeQ6HtB3VmuxlzFUa3kG29RhNoXmx+Lg2pt1yKZJtci9bVIbLsWr/mmzehV1KJS2DxEVHbfkWJkM2nAWWitqpq46kTT2i0mFjpCcOXtCm1D5o1T3qIoP7NlpY/YoYdUmNqL50JrHnoxeRVXvioqtr9v5/96vG2fYStCr4izC9S8ImvCkrty/6ITVVGfYRknduGeNfirgFRf3V1Hrd5/pVhs96x1F4etSDZdRS5N8XgxFmdfj8fO1a0Wa7s7xS+giQA+DIDFFIel4ILl2HnkrRpq3pHqzMWcoGXtLIiwNRqCujJ2Tq5hkp5cGbbnSUMxxGrk91axb9SJ1zSyDSmz6ORuuyCps+qv549wpThtHZJNBFqKFj0/d2zXp9bN/1qR61xvyFFrjWm/w3pHK5UqFY+i/mP0WKs8ySQFYx3WuE7TAus9Ng4qyqmV5rWIbxVKaSwpM+0HRrNHnP/JGLu5qfyoK9ARdU25rAgNETXF15/bnGoq1sef/P5t3L52qhG8hbwsXSMhSDXYV3aYtqP3FkW2tqAdfXZKj6vNNKf6gNgpNKVViohyO3tbcwuQ0U268oh/vLEzVu3VwqCF7ZoSY/SM08A6XxT9lAZiKblRXMM57disy4VpN9wQw14Ii9y6SqU0ilS8cdd5W4W7nT9u++ar6QbNiHLqlVfumaaB1iLrnDSxrhXwjiF4nlLSorLodcLq+PExcHd/z8cfPvH4/MRxf7gip6XpRr2JuRY3OidpOAxGdHyJIoHOBaw3PDzcKfXFWvzgEawm8nWEcbv/OWdKqng/IM2TSmV3d8/T6YXBq+vD/ZsHUkrkvFJ6OJTBMfXuZ7OBeU2c10RtGvJUinJE1Y+9XTnHIuo8ICJY59hPO6Rmdb+g8eklgzV4vyMEh0RPPj1SSmGVhrOG6NUTO9dy5c9uNAZvezCRbGPGkmtl0yUpCGSuUd96/2vn0rZr51DXr8p02ON84GV5UX4xhmZu9qQbN1WMiomd1S4pzlLW1O1Xb2DT9bmz+tT4DioRQh8LA53/pHO+s9ohRgtMalMdiBWQisWQc1JAr3OTj9M9sOtaJXej0/U1zHWk1lrD0NFm6dzeDeRRJxvHD88fWdeV47Qj7nRzdl4WnSds15VY7WQsi8ZQ73Y7Skk6J/XkXWst0vm7tYHzlhBHYpyoFeTFXv9PTNdfNNUWgMF6pxTKZpmzWv5d5+qWiX6vIJ5Aawapltw34+M44t0JZ36+TFU3naI8/zBRywtpbdjhlZXv6+5x07A2tYb9/xuS/DOFyutFRX/kD0BmRqu2Db3w1mJtVbN1f0NdrIWc9PWnabxaJvXrhzGv3r+v8FtxOQyDCsg22oI1GO8IfiC4gHPC4f6O06fAejnhesthE0oMzlKkIp1mIdJpFwRCNEzDCDZiraMa31PpLpw+f8C4wPjuGyTuaE1Y7UDmDhc83rtr+1pDP27Fxetr+gXNop/XZU1Q1Q3AVOUt5y5yMKYLhTaRR1m1wsfiOspeO0l+szSTLhCR3nox/daUUqm19Ek4UUri9eS3fba0pt7m8deWsGCx8kqU1dP9nFicHSB0pLAFfHBUu14X0624dy58USgvy6I8400c2Ft523kbw3XxXVNGSmWdn0nnJ04ffk/JF1xqxGx5SobPGIIYgoha9xgtRpyx1HKzwfNeC2LX74+zjobBdYMhbcF92Up29raJuBb8VVP8ai/Hf6FuJE47/NjFKVWvbRgHnGh89nJemCVxci/YmhBrKGJYpAsy+udwVfACMWthdRL1JA50YaUxgE6Oxjqk9TZmFy2aJow94noTqETfLZxyYW3aRg6ubyocurvqfmdb4Z5z4ZekCfstfMZ3a7dwmyA3q6haK5c8IxkViYmi4W/f7onecXl55O7dEamWtlbWUrsd444QB5Ik6qzio+gCnpEpeJ4viXE4MB3vyMmTsIRX49qiPqrbPX1N1yqtYVEPdmNhHD3NVqI1+CFirDCXqlHqnY8Pt/HZVWwY4zFGN87DEGEMPD0+UdqZeD8w2ECWyloKuWQmC9GqAJfaesEMeU1UD3YYoVXWRTtulyaM+71uwl3E+oFpt2MYJhrqQ1xRrv3GR1bvYRUa+UG9rI3VotvjOJ0usJsIYaAsGqU8jj2quXROo3MMQ2C5nPsGzVH7fLw9x747I6V5Jo7HPh3pGrIVFzkn6C4FlAqlEsSzj0Gtq0rDiyA16zpgDC/pgjlExlPlPK8sa2FeG3GYGKLjks4s3vD1n/wGV4WnT0/aEg8WkwulZZx3DF6LlHVN6h+8JGL0VxvC7Zw/X57UWxiI40D1gjO+u13ovBCGyHQc+f33vyOnQllOpCbU4Ll0RLhZFRT+7rsP7Hzk/v6IEeH5ctHWdNJnsOAQ4/BO3QjWnFiXGW8svq9PzSu9zGG0o9LnSm+6e1DVezxFQ66VND/imDhMI0vRNfZyPtFq4e6wgyZ4hCUllYA4eDmfKDIyToF8OrGbRobjA6VV1nXhcDiSW2WcIsEoemgQtZur6g5Rc/cmdpacC1NtxNjFu03wGOqaiPuRy7oqzzcnKgbrtTCzPZnXGE3dXRfVxoTuzV5sZVnPqpFCeHl54f7tG5xYFcVJJEQtXs+LhtFYCqXOGFcZdw2aoSY4vzzTRDcIq2nM5zPnVQWcu92OWjLOWKb9xNPnR8IQGfY7Lfx6p9QZy9qR4P00oBC9irV/+9vfkueFzz98wHnPcNjhjRC9Wgkul1NfGw2lLjw/Z/b7PdYMmNYUyHBc5x3jLJ+fXwhROB4PpMuCtJGHN28ZxkAzBoxuNCr+Sr1w1mIJtKav13o09H6weG+4G3eEB8On330gLYmQPbO1DHutAdJaCP7nC9pcK8EoHa4KuDh0Ct/NkGGjKElR8bk48INnGH7eb//njn9hkWyMGYH/GRj6z/8TEflPjDF/Dvxj4B3wz4D/QESSMWYA/lvg7wEfgX8gIv/8j/kwr7mg29//mON1oQXQvMWaHg6iWYpXVwflp/mrldnr93mNnOr3t/+7uSS84sd05A8jvSBXj9XdbkdAzeI1Sz30sAvpSS9991UaQ3RYGwCvVmFNKLYQTcM6wzQ4QrDYlvFkbMsUq8W9aY1ab0WxmNbRdHtF8zbqiFh7vT63dqQGqEutqhis9RrKsBWa12KTm0+09NZW2wCkDp/q7rB7mxrTHxComwK8Fyqvr/fGZfwx0vt6DJSacGox31FrC1WTPartyYO1+1p2d5INodDC0l/FGT9GyV+Pm5tzye3z1Vq7DU7m5eWJp8+fMJIJ80xcErkK1Rsmr2lH2mdvqM/sl/63273YeiOCIrXSucD11Vjbfn6DTm7nsvlvayxHNZtv8k+PjeNlrUeSjg0jt8j312PeiyItTcnXateG4E3nnBqhiArDXA+hsWKuCE4tN17q9bOb3mMwaupmjaX+qFNUSlF0pR/X7k73oNXr57BWeYlbQuGPD98RTeO6R3dJ1wJZleAdyev0JO+0s2Ox7LoFWL76elsNYnk1/6iVVrxyAFXkG7VQyCd2xwPj7sAChPGmMlEEvRfFP/rMt3nm9j8+WER0U2e9J7RAEhSVKvLFuBW5zW2v0bbU7dOCt5ANpSZ25rWLTwcNuAkbYwi6MakN+qKk8a49yGUDCmJE/IAf1WYyxkjd/NalXZ+dm+uH8hDDYK7zhjOKtlL0Z2OMmJpIy8wQ4pWfuiwL4ziy2+147DzGn1sfvPcYMbjkrhtMzObsUxkGFTcqj7SPT1Ghc0mZkhvRD1jUO9i4gTAOlNRwIcJp7sW6Y06KBKf1AsGRcTw+PjL0zmTOmXXWxLzdfiBMHrJyesM4Yo0nl3ZFsDeNgzTDOOx4Pp0orWKCeh23kjhOI2/ePGgM9lkDQMZxYAiBy5zIa1G0WqRzRVdiHLTQztpNCU6pZ+u68viowUzj4V435dKoVci9HS0IPkR1MkLDN0IP5CilaNpsbYxjYJmXLkwfCM50tXCllaQUB+9pSTm7GyUQ0Q0T1rC/O/JyUleUycCyXogGRnsgOEvOmo5ZO5+bTXwur9eyQmk3iprNen3HUa7c5RjjKxCkJ4K2pPSb7vtdtY31xTybUrpyz6+0DesIItRF7f+sOHJpYCsSOoe/VQZrO9jW8AEwjvmUaE2j6odRQ1ZWA54BKyrGM0AcBl56FLYbRkoH15TK2Ug5M8bhi2dtA4CMMewn5a6f+jmr21YjJ+3KBqdzmAuWaRo6/9/gXKCkE8Z5vPPUnm3QepfRZO305ZSwBOI44b27rp2b9errZ1QQljVTWwfR6sLkHAalox52R4LzXPKJx09PxLcP4AzzPDNfLvh4C317fbTW6WP9fjvridEiZr3e522eVbchQ0o6htc/Pkvkj0KSV+Dvi8jJGBOA/8UY8z8C/zHwn4vIPzbG/NfAfwT8V/3PzyLyd4wx/x7wnwH/4A+/hcH3Hq4VRV5MztqutapSdy7+8kmMQVXdphP5G6zBEqqiRa1pa7oYwQ/gbCFYGCy4ZnHWYAo4r382qdioT7P3DnAs6YK3KqKrKLLVKpg6I8aTRYjDAev2PM+PHKwhtIp4GGzEZCFU5dsuaWWthWm/Y3RqcyJN1fs5JcbpgLfqMXiaE9ZekBmmAxwPDe8swQvSErgRCaFbXemxpHS1PGutUvKKGovXa9HYGoSSabVo0s96puZMzgqpN1FeeGgOaiGbm2Bvo6U0qRgxNKOZaAblCQcbcKajd61RqsdgiaFga2VtqQdQqNAwFwBLs0Gt91qjts6XZsUI5Jy+aF9L2mNMIQxq7VMYcUVb5NZ6WpHeHXAYcybnzG630xaWsVxoUCrWCkOw0ATXLeukFoxpjHHAV8vp+TMunRll4cPTJ4wUJFc+OaGYgalFLlKw1VO9qnRdFUIzDKPtLVqr3ru1EowWf1kUsRK7FYKvFvC+yRGzFVkWP6jwKdg9RWawEI25Fhs/PkJrVLHU1sB5vNVWmRMwLeDaHtMOSHCYGlnWREGwXtF7zMAWGViMcIEeKKGjrdFYuoVctFshfyvoSxWEhJGKcWrxWHqpWMuqrUQvil6gGxz6uNVxXDANalY0U5Ar+vbjY11nrEWV6dKYwnTbABX9sg1s88pftQNpuXC4HzmOns+P3/L+3YGUEqUGxKyEEJXPbQYtcqhI0cKz1ZU1NaLdcXjzFeH4nuHt34L20guqSdvIGC1infYMrggwfVNmm4pwnEbF4wI2Gkpz+Bg1Hr6+4MSAZLR/4K+LWqmZu/3h2qEJ1nFH5bvHH4gx0MSzpmc+nhuD85i0UFrmUhsuq3hUrGVeCnXNjMZznmfMtii7ieAnjt98ze7Xv8LGARMGXUznlXOZaXXB2YYVS/QTdUm0Wml5AQvNV+a1XDfOItBq5d3X73j69JElnbE2M+wdMarv8riPuBh5fvxALhMueKVwYTA2UJthtJ7SEst6wtnAPk5cOt89BMdyOeOc4zhFyLU7KBkeTy+6IWcgjpEwCJd06jZhkbzOiKlQMpdceffuHd9+/4HaGvtpJNfGy2WlXCrZmyvndu1ivuAiFEM5WSYzsDtGLXbCwBAs3goXKUiqOBG+//5bxMDD2/f86qtf6WbONIYx4paCVOH7b3/QjU8ISFqIwFJ0Pt+NE74q5Wc37FhzYb4U9oevsS2z5jPNJJ7PFw67Pb/5kz/h+flCk4Gawccd3hrmD98hLvL2t79F1gs5aSrf83zmgCjCbA1SCkss1CJc8k1n0krm7ZsHnFG7VHEJxGPKAjljo8OFgKvw5je/4a/+6q/47sNH7u/vSacz9XhgOL5VWk+tPIQdMcBgHMVZSpq5LCvH/Y4gGSONeSkUiQwCrWmce9h5siSen04sixbXq81Kf5kXxt2BkoToJy1214y3gTBEqsus6zMtNbAGN8arJefYDKnrApJU7Bh5ennGxR3H7pbQasM5T5BAax17alU3m00pFwoGOWpu5HWhVo+IIYkQwkhKBhsWclk5nZ45PLyDatnv99rdbCsmqqDPW00DjnHQblTv0J7nC8+5cPdwxFvLy8cf8GFSsZ91xMNOw9rSym7ca9HuHSJN+0GmUbwgDcbuXPXD4wtphftDZDcETs8vfPr8HW+/fsd9fIMJERN3uDAg3mCjxQxTTw1dmOcznx4/YMqFd/dvOdwF1gokw/2bO5Z8YXGB0UfO52e8mwnBkZenn53z9wb1gI8B6krwhYolhonWCjUnrTFKwQYNnBsPB3CB/IfEPD86/oVFsmhlcup/Df1LgL8P/Pv93/8b4D9Fi+R/p38P8E+A/8IYY+QPwMI3BKp1lG0jlXUurDU33tvPHNE4jOWWprL5GfdWrzpa9F2ivS3iW6tdo6qv56uLa91+bkNffopsi6jZvINri1nbIVvJ2D0TO1pjvCPQQ0OMgbbx6TSu2fbPtqWbOWNUNWvVtDy0HkkrDd+U3vD6Vr9GB11Xc9eWKVlpIluSjpGs79uV0zVl8looJbMpZQWDMRXXVeNNmhZItvuUvkKDebVj+9J3untFGrTYa/XqfmGcpdbSHSA2EZpcPRMV7e284leX/YpuV/WHbEb5ywWN9nbDhLUN3wK1BqwVUtJd8Ka6b+hiU7U6v75HbQXXk/NMgyoVS8VQSPMJSmZwTtGTXuTWZhBjMc3QvL+6UWDUscKJElSscVSkt5uhisF1v+Mm+gDfUOJ+jazl+oh2lNAbwfbIbjGbuPHnn4vNl/jmecKVRuNdoMbIuqXG0agbBabT8z1G222iXHPpn2nory2NTrKXHlQiV6Tc2a1LY8C47j6gL6wblf4MaqyVos3y5T2+hohsz1rnKP7SIZtrTRNyUWHGJtzz6HVS9P6GLIvocxtCAEcXvpjr3KFBfur5HFAVdS4JXMbHAfGO5gP7u7fMSUNhNvqO6Si/tcrVe41uXKkYThOoNGmwYrv7Ar3LZa0lWNeV8q+fDbkKWbfXbK2BdeS00Iry/psUdU8xGg9bq3Z7grFIrT0Z0JBqoRW1ANw2jSKGcb8jDnvi+69w929w44gfRtKa8U1T3Gp+UQqF3ca5Ag5Dt/O0FuqinPM4Kg0t54zZGeLgoVVqUpR37KEQdfMB7l7Eu12PHi4qAi614ro7gPrkOpx3uNqokpDaQYJSucwnalNqSvBKUVvOq2o7qs5r2/UbhtA3ybr2PH7/A4dfHRh3E6yFy6oJgfvjgXldqVk3ey54zJKAdkWxXe+oXRPMUiFXtcPE9TEngs+e1v3Lvb9Fsq/ryvv9/RUh3HzEpbbusFMUAEGFgoj+Tuv9Nr02W0qk+vkOtbJznsPdke8+vHTNh6K1Y4isRTtndjdpB2lVVG4TN0/DSG3Skf5C6HS3TWi9LBdoHos6aEz7kRAG8pLBemIcefr8A3E3cvf2gfm771hrplldo4bdxMfHz7A6jmFEVHCjc6egQUEYYqeAtL5RwHt15JF2nbesFAVbqJRqaVJozV3/xN6SM9vWeWjdulF6ih+q1ZGiiLxYd/Wdt9YRh4nc+hqPzskagtQrmQ52tKJezDk39f1F+cu1rGBeddD6nBVGFZeJ6f7zGE7z5dr1DNYR4kAt+TpetnMxxlBSoVJuc35fW5acFFTqGoT4qst2481/meK6PQuxW1eu68rmGCOiPt9Td5XSn+9ASudvC5Za5OpikiukXHF+wFiNEK+16hzUUfvt9b2xPQTup0frkME2T5s+d1ZUw7G57hSjgvLtXLb78scefxQn2Sgv4Z8Bfwf4L4H/G3gU6dmV8NfAb/v3vwX+Cv0gxRjzhFIyPvzoNf8h8A8BhnGHSLnyf5RjombXYrsdVS380mFqL3KEqyODOEWlZAtRgN6+VaFKWlbWYKj3yuPT6EVwdjPq1gWodA/mMQxsxbcOatcfKrX0CcHx5uEd38eR2eiiZBwYbzFeC5Pt4bsqtpvl6Ul5bPv9Du8t0zSxzmeMEVU4DwM+BKbjO8J4ANPfD/OFHZpgrur0UhM1CwYV5pWSaaKWTq1Ual566s6lL0gJpG4ZFT1oo3O0rNUH3lsV6vQiuJmOuFvbbfHcj+zZrvcZQ4b+WWrNLEn9OofeqrdXmzOQ2lvwqHARdANys/fT4tlXwbSmftet0BqI0YLVe09a5qtpvmApAikkjH/9IN/a3d55/WyXitSGt40lPTJ/+o48X/j87V9i1gtv40g1hu/yiSSGYnc0u8MQqb1IYLtsKP/LoIbrGgxhscFhxeBao0gXckJ/uL/c7ETXPXV7kWycCrBwnmoaVpRq8AsPrt4Xeku+6fO0Caw2QZwG14BgccK1wN2iqdemFUdR6j+j8YiFam786vqKNqDPiFG0WYymjvUQl81X2/fJuLhOF5IbhCzXInCzbOyCAXuViP70VHu6olQdwC7ehKav6UXjFIkmAJaMkNbM+ZLwX92pV+o8sy4L+8HrM9HHtohhOS8YCXhvKcYRvvoND29/y/ycccdvWJ8Xjod7BmcxEWynOGwL12sq0XWRaTpYnOuin1701r4ZLTmr0tw51lcJmfSuRBziNdAijCOtNuZPH5lfPlHymZYuSK3kdmaVqi18/QTUshDtSDWO1ITShNEG4hBx05FUYfjqt4yHA8Pht+TqkDpwiA94W/j0+XfkKkQs0RiWNaOBESvGSF+MNbG0zI1pmji/XNSCahiYXx4xgA8BZGBZV57+8m94+/Yt59PMPM+8ffPmOkZDCKgmUrnU1uoYaa2w1kq+JJSQpYXJ2KPrT89PGsZRC9F5otcYW5FGzSvzSbUPzgXlglpDWjUedz/d8b/9H/87v/rNb7Euck4ztQl3uwOHEBiqtsJrrbx5p5SIy0VT8453dwzDgHUq+Ht6edH1xAbO55X98R5jLWHa4Y2q8ufzmTAM3N8fyTnxl7/7PdZadrtdt61TZyBnGiFGdn0sOR/Zj3v++V/+NdZpMmTOmbSsWFc5HHYcjm9IpfHdx088PLzFdqvMVBNNCu+Pd+Ta+PTdR5iUO1qKBkC1viaU0gEoLK3B8XiPiPD4V3rf5sszucDbr/6U9fszj+sTf/LVN+yGHS/zhbiznJaZ7/+v/5O/+3f/LjYG/uIv/oL7uyOpVcqijhjWWnbHgWURColp0hyBgCNYx3p5IfqgSYm1waQ2nJpG2sWdRmX8Io1SMtK1M60VIKDOOZU47DR8GdP8tQAAIABJREFUo1e/JvQ1rmkMvBR1YZpL4ni4B9PwErXoLaqDSEXXK2ONCj9r6zkBjVYL0nKnpWnBlpYMTu3XfB+nay6kskIwuGyY9jtyFR0zMXI+vTCOI0bgcjpDEw7HPcbIVe9j0DX5uDsi046PH36gtcabN/cacz6rx37ZACJvWS4XLZpr6F7kTjdXTTfVpRas8dwddogIqRTmNVGKPtP39/dXlNtaS2mqOdBCOSAW9epfCnHwhLDn5VIZnjIPDxaoLDVRpTDuDwzTyIPck2flaJ+6LuLHx1p1lQpV8B0xdAayrNcwMikdtNyCRKRQpd7i3v+I448qkkWkAv+mMeYB+O+Af/2Pfodffs1/BPwjgOP9W9EIxR6brOZ3V8Ry47X8wdczKEdYdLJ/zdXbft+jnEiHksaD205fUDurrhJtDtN3TRuPSTl/267sRvDXjPaKsZ5xNxGGgXMrNOM7yimE1hABN4SeGa5qXx9uCIamAnXlZV8Aq0AGbBOGseEH9d8kTlqUtAaiVkK82i2aYhDRQrS1Rm1F7YLWpAOmVKQ7TCiinG+7Xmq3tjMdmVNUWay5WrW1XmS1/lBoC16t4a486Ffostq/te5q0fq9cojpaXJbB0AEK7drvuHk5Wpz15FJFBkBjQ3HWXwPoAglqgVQUascI6iQYNupy5YwmK60BtPR03AVeKnqWVpmOT2S1pk8n+FyZhBVf9tqaNVScTTjyVbTw5x1GjZTG+rKeuMN19pT56rQMU3dDNmbc0V/OK7XbiurNmr9tQuyXZ8ftxN++pxdn53rBq1v4lprVzeTYsHU6y/p5+mf314/140K0tDnjSpXr+Yff9042VroVgTXi0LTeuFqNJxnew62U3Go5RXSNz/9+vyU2fv6kunzpiD0FhKz/Z67dimwBWsixjjWdWFdGrkYSjUYPK0lmunCVNRtRoDLqgmRPk4Y57DHd5i7bxjlDH6kUTjuDkRrqP5VtPmrzdhrytD1HnebQG1FbcjNzXfaoS4i6xfn++XrbN/X1qglIyUjdHpGAT+qFV0IQYud9YSpjYKh2YA/jIgriATMLrJ/+2t8c4T7bxjujvzqqz/nebmQa2GZuwDJOEqzyLzQfMO6CR8iy/rcP4+iR5hGKpXQPLlodO/oBmyzlLxSxHbdgPDyOfH582fe3N3jnOPl5UWFTN0Vx7uepNrtAY3V+bhW5TtGFwjRKxJtdK41ote25cqc1ANai5Vui1mqdoOs7Qj8ZmPp2e+PPDzcczqd8GHk7u6OtGZSyV1E29Q9qAtoc866oXXwdHqiPTe+fv/2yj1uWVHYadozTGPnAmv09+As66KiurR41rxiewF16YXC3P2ip56wpl0oex0TD3cHnl7OpJTY7/fgA889GOru/g3eD5yeHrHuhNtcWKisa9augqhzxUxmnjXWmiaMu911sylieHg4siwL5/PMMAzs93vWdWacJqyDJS1M00BalDKwrQMpLUzjSE6J8+lEyfmaKqpFTeX+/v6KfpveLduE4G6I187H5pvvOuI4hkjuND2LuXKRgatIv2yo5KZZ6kh/Ew2YsnRHBudI5xkrKjPZNAIVtYgLUSlz83wmDnucUzqQoJv8mirNCp5KK+pAoVHcirKqILm7Q0nVzVJQb/QYVb8U4khbkop7RRinCWmNkouOpfJloafzu4KNqyy01pimHbUWHh+f2R32V3FjMAFvLM4bpF/LWnUtGMMWdqTz5gYKChlrXe8eVHJJpJSuiZDbHC2g3UMMtm3rgG42lpQIXvBxD35QpmCjo/uN4IcryJbX1N1mfl6HUpq61ETjMNKw9BrAOXzvxC15JS0r0msAE/T6uz+0aP7o+P/kbiEij8aYfwr8W8CDMcZ3NPlPgL/pP/Y3wJ8Cf22M8cA9KuD7xcMYzd1+LZjC3ApkrMH6X/6odTtfo+tMNqIWbNB3i62/h8X2tq/rKFVKCyF4rNfC5RoBmlBkB1Xrp1QIvrc0X+Wua9tbJ8favTp97DvclpAqFOehGbx4PZe+aLZciNP4StSmpvre6oOD8QzjjmG3J94dCdNOCwaEofsZt609y23h3OzV1DYrsy4L2NC9iQtlOVPyytpbeHlVhMVai/FBJ54w9AXaaYFmFKlOteBwnZvMVawISmmx7kbiv3JCrXIQ13Ull5Vhp9woW+IrGkQv6LroqLYMm7CIV/ZnvfCQ2igo19Q0ey3cTdGWZxUtSHVhasrvHCMW0eKnmauhuHKGhZIziCXNmVYTa3linj8zvzwTyDhvkVPWU8+VloVVHCuODIySidcOgxah3Y0bEVhbw8hmaN8N2nFQUYpCjx3F3ERZRpSe0DFajCiVZhNittZ0cfuZQ4V2HYHu6Vclq4uCNzcRyzAM5Kae1q6BE6hGaEV5ede0t97WajQV4nAr5Bu9GN06P61iidoPsI5CRUSFUdGqLRACzavQdHsGRIRguwhPNkpTF59YS6s/729pnLb7XUcLnB07lWnzVe5UDKNFSuxoUSrCPAunl4Rvgbv9oadxZowNumGMnhY8NjhKFuKwY3y4Y3z/ryL7XzPySMaT+uJ1N0UuTtuvm52d2i22L1BldSLwV9GvCh30mi5SVZXf573U1fJbm7Q1rmECh+OOWnv8bso4KXgr4C0lG8Az1wvzRZj8O6KH9VQYnUHGHePbB95/81vaWqhPK/43X/Fnf/5v8HROnIoQj0c+Vfj6z/421jseHz9xenlhf/eOIVha+wjrTGkZG3xvl+q1sJ1W0PZ9bk8VP1qe10dkSex2O0BdPpwP/Nmf/TnLsjCfL4QQsaPjcp6xDlIqxKDpc6VorHRNhVI1Tri2zGVZeQh3tJoR2TpQ2jmIYafuHS0zxR2n+aQJhPvAkrgKlqnqLJDXRAbe3b9hSZk1VdJ5JoTIcBiZzxfWeebwcA/BcbmcEYFpNzCNe1JSR591XYlRw0Gsd+x3nvOatRvUFNkPvYge20BplaenJ6w1zEk1F/d3d1hrmVMmr4llLljJnM9nAN483OGbFizffPMNrTU+fvpM9ANfffUVy7ryV7/7HdPujjdvjrzMC/fHB+Z5JjiY15m23+Gb5fnpmTZohHPFklJheNA5e75ccM7w4cMnoHF3f8QYw/v3b8k5My8vKvB0lpwuTEPk+eUT0zTx8O4NTy/PSKnshpHTkwoId8PIECPTOKrAEJ2bcyvs7w48PDxwWRasc5xeXvQ6Bk82gh0iQxzwTdfEel5prXIcJ9ZSrxTGrZMpGK72omhx9vw8453h/niH8ZYla/y0HyImq/NTbo1q4fnlMwDv3r0hBM9lzkzTjnE3IU1T7paUMNvmv6djSlXXCed1ngvB6BqTEi7s8VGR+5zb1UY0VQ38GQ+G0ip+iGpPZ4zWLM5zOp10/rBc1wNjDOuq3ds4BkKMhCHy/YcP/Pqbb5RWkQu507oOB40wf3r8pF0bVFg50MW6fS3XhqVgXATj8QXOy8u1DthoHH4asFbphak2llS4PF8AFex6KzSxnM4J6zJSCp8eH/n4+JGXF48NjXQ5s4sDH374zPHdVz8751sfNU7eqSezk82ppDCEQWPkSdjSsFMPF/O+U2N/vvD+ueOPcbf4Csi9QJ6AfxsV4/1T4N9FHS7+Q+C/77/yP/S//6/9//+nP8RHBkDAhx3VWOZW9GaIcoa86ahh+WW6RegtaZqKspwfqCLXPPkQLNCYS8L08nkXdGdbqxBjAIFSG9KytvECuoOyyjHTgn0g5RmLCtFKFbxLSLOUmllTgTjRVsPFwHTYcRgiLgZETI/g1PcxTdjvjlQjTIc93hpqTpxOJ5YYGJ1ndJFluZBbZjftyTSG3QPGOdZ06UXjqOhHLkhv1SYqtSTyfFbz+PlCzso/rCWRTidtgXakzwWLcV4RMxc6x1i/Sp9kSlOE2ffgjCqWMezB+KsvqjGWuDtS0orzlloWak1IdHz6/JHL+UyrcDcdwdirf6NOYNr6as1AcNiC2vpYj/GWGHWDUaR0nua2MVC/6VyFWsEsKxK6L2ZaSSWzmzwilXnN+KperTlnllyotdBKgiZXfpsh0dLM8umvOX3/LXmd8WmB1kjlhKmFlEZmibC/x9odIwYZVJgW5BZMEt1IQz1Giwt9J+86PUhoNDA6tm3rwqbOO/PW05y2va5cbAO+ZrWOs57mjfKBf+aoEvXZMo1I65xvRykzl/qB0QjRDxgp7Eoj16JuKdbhrcd4KAjVKm8zbjz3YqiuqWMLgm9QQm9nle4pKkBLjNEgJTFYUJLYgEEoTvUHsUe/hxAw3uo4CxYxhkvStEPfN162Gpr8vIBXHUgSeK98a9EQjka7JSrWRurdBW8a1ajo8Ow849u35Hri5fTIV+++Zq2etal3Z8gZFzyj3VGHwLp7z/Tub1EbnE/f0QQ+fvetPntl5VwdrodwWKvj2liDEYd2oCxbItXQxWStI/rGaIDL5NVWrbSmlojWEL0h1MDL44smZQ2ht0ZbpwoIzgXMeFBB6d3XnNoH/ODY518zHINyIEvGHfY8P5/4W//a3+Ptb/4VzMPXPF9WehnBvHvLcBfwBbyL0AqXvFJTYr/bsY8HzvI7Uiu8SKTZjOREWi/c70cgUFJFeTw6npwzhAiWRmVF7Eg+F0J0WK+0rktJYLUlXtbKaPT7KoIzBl+Fy+cT0xgpkvSc8dCEqVkutvLy8oI1okETxkPJ5HoLV2qtcV4X6mp4Pp/wLjCOB6UntEpzhpq7p3EVGpXgB5wVPn1+oaRMvWj8+u5w4PNHLQLfvXvP4+MjthrWs/JHXXdaqTWzFAHrwRSsjeTns7ruRPWgTjmzPx66dZ6iaUubwQjff/89zjmmOOFwnGbdLI1x19v4ljg5XClUSaSaOdyPSBZMTQy28ubNHdU4gvGEnSWtnwneYogEv+M8Z8RW2mCQPEMzHPYTlkYrM7WujE4wQ2DXU+LOT49Ks3h5ppTCv/LrXzHEwOMPH8m5UWkMbsBUQ1sruzDx4gu1NPbTjhg8+xDJaWF0Due65ZxzrOVMK8rhtqBjTyzpNNPsoBxygdCES0mUWb1/a2ksa6U57YQ5q6FANRVKU6u4lpLaBwZPDQqgvcwvSvMYBp1vvaNSuCyZ2oTJj4qOWvDW0kpRWgOF83xWT3VRsa4ZvG6OgscgLHllcIF0Ol1R83URrB2YpRCawTSnovfmOefMNAXGXaCVwhQCjz98YJom0jJDd2uKbgONMoamFBRr8d0FqKWEC4HBed6/f3/tDGxd4bRqB99ZzzgcyOtMKY0QRloWstF1QZrl7us9S9KArFJUx/TyclaAQxpZNBOB9EII9wQ/8P3zhWXNyND62jWyGy3nNLPkM8c8YurK/DxTT4b7/Y4PHz+TmvDr3UT8f5l7k13ZsmxN65vlKsx2dQq/EXFvKBFCogEpoMObIPFAvEY2EB1Em3dAdIDMBpUyk+AS1yP8+Cn23ma2ilnSGHMts+N+TmQg0Ygl+dUN97232TKba84x/vEXaPr+2wWtNkI3/Pn8RZw+koAKutOgLLEUolL4+zthKTjL6yQifuP/f7SAA34L/NeNl6yB/67W+t8rpf5X4L9VSv1XwP8M/Iv28/8C+G+UUv8a+Az8l/+uF5ADdUvXEtK9bWNIEOX/X3N9xfurAlVVJYjaLT8x1Uopis2Ev1ax9Uk5ghX+YdVXS7Dt90pDAmv726WKgX1CiPV9P9D3o8Roak3Ngnjq3ARLTlw4apLEnpyl8NQVnLFiz1VlbFeBNUdqyXQaulrF9SFENBGjYhM1squLxStSEWsU7tq6CqKSMnE+k4qkx9UkPpOobaRrpEhu1x7k0oo1Y0zzJ7ZsgScK00zvVaNZNPS/XBf0xgk+X85cTmdQhm5wGCvWQEY7aUA2oVrjVW9XVezG9tZ1KF3RtBHbHm4isdwlXNO5diu3W3pA67Jv/5FErwSlSKgCmRgTYTpDnFBhpi4LZV2Y5wlLhTbiWVMlFy1Nl7LCKUW31DoRsKFEMFariApdFdu0beJntCDambb+9TaOb97AVe5XeA6yJpRqJnib0BTVZia/vnSzb5N+Qvh421rOJaNcxTcutqbZwMnsi1oTTjXhI0qsXJAOvKAbm0mEmEFVNFc7xSo8hz0hTmmFR1ExhOaecvMu0bp5Pdc21mxTC426ilxpPtbfMYHXN2ui8msrye2/Q270HkOtMlp/XhbU4QgJwjkRqsE6z7oGqBWjFUYXkjasFR7uHlDGo9zAelnIRVwArL16XG8ClFuqhVbf/p629387LZGG8SrQAxlg3SaAbmj0tr7F7s4Qxif8w4RaFaZPaCqqSjxyDZFpyczRo8w93d/9BvX0ROhGirK4vsNPMv8otWKtwxtLWDIhiHF/KBVDBlspppBUptaCzgWD2fcAoc/IyLtW8WN1zmIsqFVjnaESKKUKL1/X3arMeKGmZatRdCKQa/oHbditN+U5KftzTlEYt02ICsb8muKyiak2AWEMia4/3tDq5OdikSQ/VBHeLqCsQVUtY3+Q4IfmvLGkKE2ybcIj61DVUhvtLSWZqtHieWNKWOc43gmS9/r5C/NlmzbIdMU3d5nPz69iL/rDyBbiVKtkAcg+q7lczm2d6DbZzIx+pDOOGKFMF4oqXOoJ7514+tYqNmhGEasi5gRK3BJqLhgLOWSqVSgnCO946JjPF4wqXE7PjN5wOBy4RJlkaCN8fo2csX1DI6/BIYasJN2vHzqiWglhaUirlX+Mobdi/1dSwlvLZV1vBIlbEqOT524Vrm3X/MhTSuSSmk0jLRjIotgEx4Iok2UvjXHdn0OtZfqR2xrZLCSvEyArIWCUncZRtexZCo01V+2THTpKFaqjM3a3QfVeEu/6vpcYeK0Jqwjnvb829hs6u67y/rapxOaZboyTWiLJpEzZbXoiz8i8LNichJ7TKKK5OezL3zeEddnvE613UXXMGcu1HoghE2OmHwa8VyQfsd6hrG3Ng5zptX3vOSfiGghroNSFWhPWCF3SKEPKlbBOuJopsaCKABybUYMI+eSM+NZlW2qg8Lo9aEkiLGUTtusW3CbiP0cLgNEG/dcDyX+Vu8W/Av6zb/z7fwv859/49wvwX/z1bwEUBU2kVAuN8C2qbcSeTSms+ctv9bZAloMyUVUVbiHC1bNKk7Mo+UJShKhYFgm2kMCcK00gNMP12sb4vu+aqbbkpm90C4xEQorR+4FhvEPbEbRwcJcl7Dzd3A4ysSyDOQUG7VjmmZwi3orNS9iieLXGekmaml+ewcykOuAPld73mGKY4kIKoS0jUc9eLs9SCIaFnALrdIGads9Ht4kT229Z6yjNsq2xUFGNG2yVCN+M7eQh2HLZt1ADpdFGrJtkzLNyHAeUkqQ/7z2XPwpl4en9b+iHA31/wNkOiqJW0eDuiTh9T1Ea5So651ZoCRJQETcAay2uH0gpEZrhu0FhsmxMuVZUbtpXfRVLikKb3cs6O1Fgh2XaGwxvPHVJTJcX8pefeDNYVu05xalxXD0pZ14TLNWj8Bgs2goCq1K5Cu3aYaaVoi8GnRonuiH+Vm1FoICszmwc1hajXaTg22ortRX/uuIUJERk9z1+lTOS3KjI6KJAaarRONehqmF+/cB0OVFzhJpxVsQ4qopfpinSuEjbWnY/bNr6oFQSUJXY3d0WedoI96ko4XzX0hxTmq/1RqdAKdYcMfnq3asb13oTK9KK5pQT3Xe2rF+KRbei89abW4R9UlysiIvFcHfHp9MLww//wKGznH/+kRnNw+HIvQFvFSo/o3XmJXd0hzse3v+eORuUksZN1XAtrJqX7/bM3zbaG+Vr826+fa/2hk6mlIiRbhXnQr+hjVqdcMFbkSxe1UhKXK2k8T39DwP1csfQv8ebhL28QI6cwx8JtuM3/+F/wP3jO9zj36P8A8b1dDoxjj3GjaIItwarHSoV7scDl1VEgPP0TI0r+fQz8+WFVANGZ6x2ElqS530f1c2h6LScievMnRlRSdZGqiuHwQuNIC2scaG3d5SUWLII9e4e74US9vlj42NG4XGWjDYtuSuKM8d0WbD9yDzJntAPXgS7RSZLu1923PiPg8Rvr3F3j4gpoqqES8wxMKXSrBurBBbYXhqs9r32fc8wDEzTxOv5JALDTooY17id/RbA0XtyVVQUp3XBe89aAkxS3A6dZwkrhcplllCkg++5zBPHYaQoWJaFbhgwYSVlcfmoGEqNdH64Tv1iYl0XdFnoDqOg8Cists1VSPaBGCNLmFFIwVW0YVpWDocjtjPMy2dyjHz+cmYcR354/1b2X294uHtCpUWCpnLHoe95+fSJxRo6bxnv7+VzVdD3HTRwwgOH45HOWZxWuKEjqwHrLNpI0qC1lqent1wuF1StLKcLXz5+5P0bef3BSVFnihTfXSeewbVcaZAqF0pNIuyzXGmBzVO51EiOkuQJ0HWdJBtaw2G85+PlC9S6+z0vk0Q9Cxe87eG+Z8kRY2WcT240xyBrbj5fsFox+I7zy6v4zBtLjJmuG4Si6Rwlg3MdpVSen1/wh35v7pZlYV1XDqNMO46HO87ncxNiqXZPuwyLWiFXocoVKvO6kGuhb4h6CKLj0VpztIqEgCIxV9CGy1l0AP0oz8fWCKZUKVn8l0OpvLy8kKvm4fEd/eFAKgrrB4zqMc4Tc8Eomm3gQkoz2lbmEDjYA19eXjiHnzn2A7U4lvXMkhaeX06M9w9i1ek7EX1/4/ryfGIYBpzv5V5TwXqL85IkucbMHALWOWpzwumtoyrzXb/9b11/I4l7Fa2F65obkgYbKvXX/5ltUeWcwTQdjKoS+6s0mUxRUuTWWkj1NuBCui85vLTELFYpgHduLSIQUcXsQreQA6U4Qog0sJe1tlFdBYvYfllrWZuAIt0Yk+cWA2ob6hbXsLt6iPivxWiuFzAJuhllR+HRWkmdiSFgtRySqUVQUwu1SJpeTgnI5EagT79AHzdkHNgfLIXwPLU1uzBvP/A3XnClbTgVuyWdNRQg59g+10IJEW8s1nXCbc7CebVaAzISrSq21yjymhXhhWmDVh212fWIxY7QQyyKYkW8aLUG7Ukq7V2xvSlGbtHk7dqKk81nepouGOc5DD10ls+XC4tLV1/b1s7lnMjaofEYJQ+dUlf0VykamlnQKguqrNmRYrVFl9aKVjIirFwtdYwWYUFVdXe8gJtGcCtG27emv+P5KMUomNoi0dE4HFix9nteFpZFFMSpFqGwNGu3qgpBbfHYZf97GrFHK6jdKg6uEwTd1rFWunkiV6hFXN7QNPMPqX0b2n77iO+oa4W4FZrtvrU18J39YENSjRa6wq2N0T4FUkJR2WwXQWG9xmFx3ZGHH97gfY+rFe/EM7QSmZ9PFBT94R33D2+oqqOWyjLNpBBwnbgJXIVNMrG53ZOUUlSVZRpiNq1EBb49JbtFwq/ivJsmpF6jV+XfiQ1XyVls6HxHWkf8wWJt4Tg8kNYZN09Unxje/5bxzXuKGQARMRulcQpCRdAWZVuAA6QoftclJHSYqWlhfX2hhInRW0iVeJqpZOyo9udra5zXKA36uq6yN6UCRpNz3fnLxlpCSNScSWuQZyCJ8Mk2fUKtQi5KJHqcOAhoiErtOoCaCnWjsdQ2MTRmR/JrLtRSWPPaGpZrOqDoNqDWJvQqGaN1Sx7LpLyitWVuYqeu67i/v+feOz59edmbPKOEmlTrFY1UzhNSYQ1R7ED7DvIWLCJUo1gLRJhjkpVREpdVCmO0IsaMupmMbM2f8MBljVSk69bK8jqdMQ11zlUmtEMv4rrUqAzLskDV+FHcIOIamNQkUzyrQVtxOUiJEDOvl0msuajc3T2wzhNfXmTk3XuZNJZSZIqqr0mnRgmI4bWm7zpJP6yCYm9CxG1P3pDUTcOwrispyIRUaY1uRXJtzaSyLSxrp6UprO5EpF2g5AhaE0MEXfHeivhdXdHZW3FtbMmgglibr5puAbwEyRUnpubopMU6MYVMDaWhw4s4qRT5nl0TqW/895wz2klC6xY7vtnPOuf2NXYr0JVoai28YWNlH7OW7WgrRUTjWotb1obgZwXUQiwZrxRGK3KJWGPIrdnYJnfb+rLeUaPUUiUWEd5qCVICCUSjxd2X3c2zpdWuLV23XK0aixPNi1WQlpmpzGgMyhoiBaUyxotndWmve2q8+19fUpcopIZbQ6AqsQecVwkNMTdrSbXPhlp3W8a/5vrbKJKpWB1BG0yVw8nqxgvKolL+Tl7C9S/cLHDxoWw0DS1j3kJG5+uBUhCj7G2jWZYFY8WIett0lFLoRtWIMWKUqPpTLTvPKVZ532sMu9L4HAJOVUwNRA3KKrwujM3axlgrY77mj1xiIrss1ltaIo6tEbRoPV2wneeuH6govLH0ncMOXlDVCGGdWZbYQkMqFuE95xApOWIUrAmKbnwlNza/YuFBZlpiD+wjuO0h3R5Q141iabX5ICsjXLVtzNtU2FYpLpcLpST6zrAsgdPLK947xnEkFBgP92IrlDceZkUXjdaRpRaUto3+IIpi73p8LxZ8SxDVblolVGV0HSmKhZFGwcY1qs1vsplg15s1sl0xRrHHS5JydHd3IC4ry+UVUzPHznC5fJZDjma5FxLhslL0A1X11OxIpaDMDGaUjV9eXhqBkq+j/g1RbF57qom0bGtCUpLxvnUarQX1FJHntZFRCnKjTigl9mnmO1N8q4FamkJbnBswnlxX4aSvizgh5ERSGZljCw1FF0uyqiU4NsoBUkSVrIX/bmTNZHVNslNqK+ZhVaCqeP8aK7w3XVOji+hdkLiJmlIUUVIOshEPXpTOMWcJGEiJ/jvpSyGEFgnsCDFcI9N/uU+kjBYCgqAtsdBjmV5X9G+PuCfH4DRTXBjHHkvlHCa8qbx7+vd4ePOWL6eVrh+5vL5CzeTWpIQQOJ1EuKQ79xX1Z0OK+5bGtwsV9XWvuV2fKcshvTdytaKM+P4KunzfYg7IAAAgAElEQVQtQjdHlpKlgDr0BtUZlvwgaWUkfHdPDif86KlkzP3fke0AynNJmc4qtDZEFXG+J7WAIGJE58o6PYu14uWEiyfKeqZfZvJyITBBKxpGN5K0jL6tlSS5l5cXuvuObhxYL2fCNDP2A5cpYPr2HWUtYtssBXPnPGWNTJ9fRJyao4g9labqzDwHUFkaa2Qt5ZxJc6Br6HTKFW9oDi03dIsiRfLGVzfG8PxyaqlyKylkdHfYKRTKSEBRrlFG7Irdpux8PguqB6jcvgsj373RlbhGXpaJrus4Pg77WeKOPcZpMqWNt+HL6UJqoM4lJ15fnumdiKdKjpAqaU2cX0+kRkHcii3vBkrzYI45sbTk1PHpQdZbEkFYqBlH5ny+oHRu67IIdXAKFK0Y3UCnLOu8kE1BO83jm/eM40ishedPL7x/emD+9Mz7+yNPhwNrrXz5/JHf/PB36M7w/OUzh3Xg/vEBvDQc3jhUrtw528Tt0FmD7Txapd3mbiveQ4qt8TU83j8w+HYWec9S004pkedIit37wxHtBSE3DFSdyDUxlTMlZ8ZRwlaUhnVKxFTwnsbNLnReqCKfPn6g6+5QiMtCrfI9aGuao4bCd65NBAtzCChj6Kyn1sZ7zhJrH5Ym8BwPXE4XaqHFdc8cj0e0FiDsfD6jlZU9wsrPiLWbfB5Pj+8wxnE6XRjHkdfXzzyMR7QBq0VcHUKTijff53EcUa3GyVUCtEIIKCO6qDXObTpsME4Q6ae3bxB9ReToJDxtmiZ8dyDGhVpkP+sHz9vf/zO6ccRYRzc+UAr040CKQs3YJ2tJkWLh/mHAKUVHZX79zMcy0fuJNSfOYeLxYSCfkO9oldCVkL4t1vb9kaoU8zrTOyeIv9M7PaVUoc0sMdFXaaydc+Lf/J2o629dfxNFsqqVvkZS1RQsgRvO6W5Q/X0+X2kpBLqhbpVEWA19L57LxIwqmq5zxBAwVDkmjYWqSKVgnacYRaRglCEGGXMeDgNKw+l0QvUHQih4bUk54fuEqoa4REx1jMeeaZ2F31YiuoBRhRogxYLuK7aCUhlLJeYkI9tmnh1zlqKuOuK6gLa4hiCs6wWjYRg6DkOP105G2Lk09wkZmdRSWEuklNwUnJuQSksUpeuIzSpFVYvEVSjhaGlDh5HCvSpqUWQnPs1O90I7aZY6m5iiO4j9TcoNLfAbqhWIeZUHvLf48YA2nodxwHSalANk6WRRoCzUCB2GoEVwSVVoZ8ldj/LiD3mwolCPWURdGeHAGd+EmG10OY5H8agEtJLD0HlBfGMMjN7T9SM2Z6bTMykFlq5D84IPH8hZXqNLmhWhPgwmc06Jz0vlk+1Y7IAqKwdnWPOBWOpOldAVVK5kAhiDNRuXsqBpStuNe9w8qY3KYDxGWXTKmBwoxjRrIbkXGk0jKTFJRzU++DcuU5MEO2jdYqczuV6wLqNUpirxplS6x+ZXTBIeZTVimG+xG1SNQjG158y6SK8cJitWFUgqY9p9V8SWCwW2VlSVTj7lTC0JUysrhaIbslvBR0HMs9YkI3xFZy3KZHntuaBLwVv/VZNze3VeEJUYWnCDb5MNpZv4t6G82jSf2UYPreKY8PLxA/n3v2N8OPJlOuP6A8ZaSlzJxVJ8x3J84jKL/Va2CtU7ctbosqIRdb01lmVacVXuT3xyjTjZWKEuFNK1OC65uYaIS0hqhvqbP3xt37lSso+VlrTnreJgrbRLG3qGwTgjMfNaoe7uCe11UkoUO8Ljv0+KIkTqlKfUNsUKAWMt1nYUl3c0NC8zRmWGg2ddM6WN6XM88ZGJpAPTZREENSvO6wlrYmuy26FkCymvWAOoivGWaZm4v7untmlenGf63qO0Yp0ujN6xlExp7iTV6N2vdnOPWbNC1cJ46CkhE9JMcT3rtNJ1jvvxIPS6mNHKYLw0rtorjLLMF2SypQ36MPJyPtPpjqUGUoFqPDYHcrVIC94JYlZlhByjuKRMk9C1tHMc7g+oXiaiq0oEVyHBy+UM/cgw3nHsB0pZqHHFIkXgxuNXWjOOB/AZ2/dcns+kpJnSBecNvu/JZOIcWNdVxv/Ok3IkxVnE1wW8H3h9ORNfFtJh5O7+LXaIrOcJ3eLlh/EBbS3T+kox4K3DSFoJSzmTXeGnn7/w7t07Ds42QZ1m/vJKr7fAHOFu6zUR50jKlcuyopy4TnjvOTw98PLyglIW6xWRREorw92Au+tJJXHwg1AtrIg4y1JIy8z9ceRPP/3Mw9Mja5bGA1fRCazVPL9KwWizTPFSChjvRPAss2PWEOm6A+fzKy9lwruBdS501pHWE04PkJFoa20B10KhNL7zpCxJuErJZNhqhfejUDiNZbBSqOciDVC1jQaSEimsMkU0WmgtTkAb23uWFLisM2/6B2IWuqEbNDEtPPR3dBjQjsWIZklnxWWZGR4OYA1D58lmlftzEnHtbNdAnYbehiT7vzfEuJKo9L0nxyhBpDlik1hD9q5jmibGp0dKkWCbkANKtLcYIwL0j58/cX83UFmwOuIHiEKaFIeJEollZS0zWUVxZDIWXRQH25PTyss6MeuCmQppFXHf0Pes54WueyCGQlk+k9eFC+M393xPbImwIojW7sASIt4JmOicYw4ro7fkdUJBm6r/f7v+JorkWkXBb7VCp4TBMYfL7nO4jTq+d+lq25BJhFMVhTYtcomNFyipYK6pgedwIl1WRlVw3nDfeRnvFREvGe2oNQgnqiHLMUYRczQLmSUEyJrOj6iSmc8z67QwHO7J60xZV4xxMv5tqKsy0lWrUiSqtGqM+dqpAV0Fvbixi4q1kEthWlbyZaLTYr0yZ0WOEW68BHNM5BDJKaOK8IyGQ9/+poOmpBfD3IqKWcZSCta0oXgDynms82jn6Wy3o8tKCS8prkujdxSs64QXpgpxXRuK5pjOZ/runvFwj3cHctVieaY8xlWsd0DjXtZKCltim2qfg9hcBRXQWnMYRlzXcT5f0NSmns+UICPDvvG2Qip0nUa3kZUxDqOdoI1WxGqqIX3jOFKL5RwW4jTz8uOfhPsYAkPv0UUzz4LWx+bEYM2Rzh9RvsfZSlEFo/y2oOVAr0WoAlVGvNSWGkUWioQSL2JdlSDCLfhkW+vaiFuGJOE1ClpT4omProy2vookvH0ujNpHcPKc0JBhRVgXXr48czm9ojXkZJiWgHMFpb0U7UhkttaGqlpENuL4kJQ8KxKGYXak1HBN0rNZHCwM4pcpVB3VJJK0/4bQGopwyW8dCNYU0BiMlrhz5Sw5xF/fKLS/u6U83QhIVRVeekMPN+rTxheVZ1vz448/8tvf/wNvnUwfvJPxtcbz9Ob3jF1H30aXGwq8TQjCGsmNalVJ1LBSlCAoKa4Sae0cqmSCN2IFqSQOGm6Epu2+N/5x3cbH7V42OsGtdkKbr8XF29oxxuCUoOVyv15oDZ2XwzJLUUz62lpRmvUozilakPdQAqloUkgMY8eXP/2RvJxxRqG9paYecsE4h1V2j2Jf1xmlKw8PD3z88jO2yr6Bdeh+ICXRnXRd1xpYGfXHGPFaftY1ugbIzy1z2sfHpYgn7MvLi4R5PL3lw0vEGEF0z81JgJR2pB1k6pFLZE0K1Zompw2HfiDHyv3jEx++vKKswVtLKrCFo+QKKWeWZRG0Umvu7u5wxmK7oek+EFsy7zhovaP+U1g5X16wncc32yqllNA4UiEAvffMl4mcEsd+ZLy/J6Uo9oZWUaLi2A30w92OMNZaWdcVp0QLoY3GaMObt4+sUQCT8+sJlSVpUddK3/dyTuTc0EzJlLRaE5aZZVpIJfPmqSPFE6sKnE3h6f6JN3cPLC8nhqFjejmLIyqK4/GOWivzZeFuHDBDx/h4zxRWprCie01VhcN4wFjNb3/3O5RVvL6+4g6OoRPHiuU80WuLO3akugmss9Bx1qmFVrX91Mh+GVJsrihFYoi1JuVCCEL1wWmxdCuK3IrCaT6zLAv9IHzmVBJKF8bR79SHGAXNHoaBTSe0UTLleVO8nGaxbauQi9AGU7nuQaVRLURo6XewaRhkar2hrRstoNbKZZqwzmGcxSPWq6fzF7ph4OX5E845nh6PXC7CHz6/vpK9583jE9Mk2gGlVKOBVnxxMjlt/9to1/YJ25Jd1fVcj1H0CG1Pd13HvZX1+vj4yI9//hOnV4/XliUGpnnFdD39eEAVT1gTy5oISc50Ac0uGCugXa2V5RwhKaZpEcpozgzDwDytbY9XmGLw/sAf/vTtWGqlyy64HMY7adjSilLjvqdtTim6XOlw22f8115/E0WyAoyVEYbTRorKdg+3fMLvXXVjqzfEiGrEZ7jUVogUqG28isVQSbmSSmLJpZHtNaoaMcXXFqWkUI5J/E1FjSlo72bJVZBQBEXYIf7X11cUDqMzWlmxHrLiUuCcKHFjWq+ICAWqWMqBEosg5JDTzVUCpYilYrYEwJzxVYk9Qm72ac2toWQpjK+KeiOG+8pirAMl/FQREUqhVlu4hdFNIWtEoGec3ZPMboWR+0Ofhe9cK+iY9xGMCGBWNIKKDYcD3o3kagTt0lIYU5IUklqjlKi/a5GUHokJbul5KSIuJLScGS3vrdLEZApVHKW5Lch3InGYKHm9qzLZtOJ4E4U1VxVAl0xNkRwCZDH3VzVitEEjgpgQIqkacoJkJDWv1ExoSmpuCpVfFi97AdNoE6q5Vmwc1X2950ylYpQUyKU2ykWjCaDkns1ebn7/MtJr7IW0UqBKpiQx9o8xYpWhWkcNEmBjkWLaKhHSoWpr9Np7bChLwy5Rt+4x2zNJbc9fo5c0oYTypoWPiHPJFpJSc6Woqwah5PZlq4LdfJq5unr8ag9RLRBbfe3M8svP/9a9YPs97z0///wzP/30E/fv3oidUcmY8YD3HfrwhFbXYnbzKt7X086r34KHxBP61m3FOTmktij0LZ1yeyvb37u+z5u9jes+uO0NmwAYbb66J+HhXvnKX3O4t/AaSwlB7N5unu2tSN8cBGgFuWhFkGRONENvmaNBV4OmEpvDDlkmBPI+C6Yp7bvuStvaUhytFSeOdRX61BYKst3bxmHcmvLtf3/1HDUHjIQEG53CBWMGnDO77/6modgCmzbRZK1G3EIU+/fgrGVZZkxDm3JIaAzOiUZFKcQZpWhC2vxqr8VUP9yTyC0BU7POAeulOQ8pcX9/D1oET9r2hCjOHrFN4dYYGI8HdBRqSQkruhpqDKgOalbEJWGMg+5GB9AEiahC1/VczitLjHjX0TlDQoS0ukis97Is8r4bVUehSSQ6a0jlGm9slMV5y7pGhq5DVYn4NiFxGHusMdQiUyTZscAPPSEncaFxBtN50npBGfBe7NC0NVhnUdbIeeY8kYyOgjpqQCnNHGQSab0Ui6YKNc05xzLNFCUCY2UszdRC3sfts6SutKTNDWNOwj9f11W8+xsnXISZ7TnfeNWAcc2rPIQm2v/F3tO0ELvQthamaWnT1laDKBHZ3Ypxu05Q3xxukzSbo0VMnKfLV41zXFe8d+QSSUvgceywymLamSpDKUXfj4R1+90oDXmjfKUQm/NHlWhv5yVERWswmk538l1oSdmtqqKN1AQpVe7u7ug/P1NLwY3i5lVr3R3ESik4P5CWhVoacNAKZeuF806pYlYQC0sDPY7joSX9ztQEIWdYZWo3hW8XtCXF5sCixPJRg7MtD6BFYO9nw1d7619fIMPfSJFcgTmKYbw2PRUYx36/WeG3/YW3WqVQM4jXpqpymOYcEdsyI3SEFIFKaQtP6UpEVL8k4T+b0eJdxxoWtHVCMM+BNSZSVoSYQDfPzZgkEIOJGFfWNTJPK5cp0hlLRcaKusKhuTHohmzrje/bDpg1BkwRK7bOtYAOLfG+Wmvu37/B+gF/OIA2nOdJCPPuG35/LfRBK482BmPEy9i6nlwVnYNcFbmI0CZTd5HetMhnaX2H7zvceBA3COv3AiEEQdhLis3BQWOsHGLLOnEYBqzTXE5fiDHy9PYtYKlV03WebhzIOUKyLMsEgDKuRV03oYuzuE4K7r4bZXOhUrT4DFsv6l+VNZUsTg4UXIGD1q0Q17v4oVDRRhC1lKv4N7M5C2iK0hwPPX7pSQdPCREbEmUKEofqHDWtzCGxFk0ylViaL7AqZF2oQURwurYCsBWzVOGdSyEnHbBCYbbCr33HcY3kkilVtbCbQlKyedcmjlDKEBWY3DZwfaXU/PLqOkll0qUVrIAyCtZAnmfxy1WVWjLW9ljXEqjqRneRMZY4jNyI6rRQQHQFWwGlKK163dL35LWag4XRqJzlcyk00SuoIhOkgqHUrZ6TZrEUMEqEehs6HNP8PdB8I0PvNaFpDbMcTa1HqFcO58ZltNbyfHrl9OcfiSnxH/3z/5hUlPgcF4mrt87JWP5GxFtvClFjO9FTlMImyNunLDFQu25vVpKz1CqHPlVj7LUg/OoRjnl//8JyUdIzKHFU2Fwt5jV+9V4kUfHaBGxot2riUqpGoylqoZSK01ehDshe1HlHzJkQo/juhpU//9Mf+eHhQJgWzs8/omoihRlqwbTUSBGQFs6X825LllLgcikMvmOZZ0yW0B6Dwo/jLpjTRvZ8SmUYBhH1TBNmGKRYtiK62oXBRrHGxrsdR+qg+Mc//D+40SNolca1RqRz4kyUYoCqGboO7xVrFY/unOfmNW2Y18h8njG+Z5lXiYD3mVSa7Zj1uK5n9PLeNxRQowjLBW8th7uRmBOXy0pOmaBlzU3TJM9Qhg9/+omu77Fe1k4plfdvfyCss1CQnDg8nc7P1JopjbakfIe2jufXV5ZlYRxHhmEQvvD8kYc74fUuS2A8HCipMoeVUhN3hxGDYtoaLOtYY+DzlxdiyVy4MPiOx4d74hSZ1wVneu4OA+/fPLHMM8/Pn3kaHzjcjby+vlJS5v3791ymBWUSdw8PdMPA6Dzv3zzx9PTIEmaOhxETV3rfo3TFGs3p5QupFOEJTwtrszUbXAfIaL+Uwm///nekIqm1YRHP9tiEk+PxiPeepdHsCHFv2PLWAFlJsks5482VLrihudC0Sc0ZQzi7mtAKrUPf7xMJSTOWzWTbj0OsWKsaYKNF4HrTpN9aOXrfk1JimqavXvsW4RzHkeAT0/nSmlZpxowyTOcJ7WWy+ecff+Lp8a3UDkaa8OfTmbu7O4ZRKArGiR3gtMyoVOm7Huc8y2UirBFVLb2TQLSQhLahFFhvMJ2VpqMJt7URwKxzHefpgumPHO8eKEhKcsqVoR8I0TBNmTU27YSq2M5jiyasMzUkvvz8E+v5zIefv7CuK7//h9+xriuPd0c+nc+ENVGixgw9qz9+c8tfltCQYsWyLHgvaYDLLFxoa22LUy9syH8bzv1F0PWX199GkayEuqCcwegW40sRBMvIMfedUDEA4XIq8fdDC1pRN1S0uSiIZ2fGGAtak8QtiZAi1jRFv1bk3Do9xKpLTLg0uRTAtBFqczzIGpcUpQmhcoikNaGtx+iKdg5TOowWjuG6rtRc6Ae/b/baqH2cJIfidfS6H/pG0uxqSx5UrsMYQWYC7AXCdpV6DSaQCEw5PFOR0bZuBW8O7edLAaTrtk1lrm7GuCAP71YghxBaAXAtklFmp8eUUsg32eipxcmaRktIKRBzEFcB3yOx1Rnne5RpEa8kSlHMYYEk6E9RIgpAKZS2CAdbQhpE82hJOaO1BKOIu4OR7rsWKWSMdOJigSfCANVEcJWyO6LQYm+tEWW7qnpHBTW6RSU3ZEu2MaDZnQHs1J/r5ydf1ebPLab0wksWsSp59xWR7+UrqoUiV7nXqiu6yCjLUvmeck98Lxv+3HiuEiUtlJicxfNZaQhREuKq1i3tkL34andw04ULP1p8O4qk3O3jx+2nISslg5CGMhXV+LMISrwVv/IaX6Pv8vrb/0GcQbJMZ751bUjBfu9bk4JQQNpQaX/NW0RhG38+Pz8TFrHgsn2Psu1nTWkjSXmdzRt1+91cNz93BapRR4r4tCrN9f9XWvY0hGaj1Ncox+093FoUbZ/ILVoMtOTGX6dRbj6nSkk4zSYWpgn+FHW/n/qLyNdNWKaMEbcLbchaU+PC68cTVmfS9EpWkV4bShWbRustOUBJV8TXGEcpmRCu3uTWW5mUNIHohojHJKge5fb3zX6fRut9nWwIPQj1IVvxV+6HgbI1Chr2g7FtRbpNxW7vdWt6UpKmTzipDZgxhjg1t6HmmBLXFbSi68dffOYa6xTOaUKcZX2oTAoRPWqMsaxrIMeC9x3OJcS6q1CVpmpFpw1rSCiKhCYBfe+ByhQmUjGMxwMooYjdeugaY7i/vxdv3jYtXJeJwR3ovGdepTDrTfO9ThLDrKogl73tmUNo6+FKE1iXggFxbKgigEQr5ihOAjGL40Up4GzHMouI+vD4BmcMOSXhP/eW+XJGWyvCSqXJNdFbh6oZq8X9A8S+7Pb7d86xXC5inZZL47bLZ8rm2LT9TmsKdQVrOqY1N2Ra7eJyuFo1bij85jG+RXxvz9kGDG1rxTR3iq/WDzc+ytuabGhxqTJplNf9ep++/Tu3+4A8JxJ+YZruiFrx/sAaF1KQJNU1RmJrMpfmHoPRfHl55r4XG72ulzrh9fUFouxNmyA/LKsk/Fn5DMV9wn41cTNb80xrNlLm7u6BkKJ8VkaLH7gVgZ9WBms6JDDJUqtMgUuN1CzZD7pEwnqhpBXnt2TUlvhqxAQhV0VnPSuVqXznfKsWjaEmyCqR2/5rbb8/mzKh0pQbpP72uf1rrr+NIrmWvSjRSQzoS+vmTCdI6V/ytbNGihxnigRyeIWZ9X4QlBKpWhF0YRx7cq5QOmJc+bLOFG1421VKSuhpQTjAkvKkraAwvnqxyeq8HPKpkucVqhRvxSguKXCKC9rck/WMNRmtEyVk1ilxOIzCSc5QrNgfedU6ULS4VRjhz8poVGNdh7aWonpMf4/qj2Tt8NZLM1Cav2eJxHlqFkYtttZ3aGOpykBvGe4Ogli28dJgj7y+vhJzkW44Q+c93na4rgOlCJMgvVFdqRbzLCjPRkFQSnE6vdINPT+8+4HheODl5ZmQwHQHLusF7xSd6snzzBomnGujNiMPXq2VHDNmNOg5wFr48vELf/jjP5IcvH16w93dHQ/HO0EYNTjdE5IU+EMv6X29ErFfSLFxmSum+b3aqqgh0JUKSRqpmCL4tskF+T67h0fOn/6M6zXhckHrgZoSKicej/fY7PmQPNU51GBxKtHVzCsHnIrYdsikXNA6ymi3OqHz1IQSUrbYVO3FClSr0UUQ41oLiSoFHqWNNRVaJ3IOWDNA0c2i6jvwak5XCLWKV7K2lpnEEldJY0LhqiZ3lZVMqlEM+rGoHIXQsXn1WuE7aiWx0s5qYq7EUtAxkdpGahuNQlctzybNmaEmWswKvmjxxVaWZKs8t21Do4XwONsU/I1K4ayj1PDtPSTThFROmhMthWBKiRilIJAI9asF3HYoBWWx3cjL+cKf/vQnfvebH/j8+QNv3r9j7EZcZ1lCoKPbR6TzPO/PUa0i5klB3BlshVlZSi3kVKgWOuvEzs/AHFYGbTBaEVvDJiEH10ZBDpi6FwvGGFIQ4qPSsreVWuk6vxegtVac89QqTcw2Ram1YjtDXhO5ZFIV4aDwIaGmQs6hOTJIQIYrmrxKGqUF3j6N/PSHf4PNK+NQ8DVBFjebtFbO64QqFasN/eGeGhKfP3zCdZbjm0dchVgW+sHjfOXL50+4KdE/3tEfR+aXlWU+8cY+YVTHx2XheHcP6YyuK2uQfcabDtCczheJ5i0rl5dn7u7fYIaRWuByEQHesfF2z8uriLCda03AStd1TMsFlRTeWl4uL3C8JwBrrTL6R2Gt5ksNDG7AuI7abMgkqdVzfHhoLjmJFCvUgmpTta4zHA4dl6iYLqdmm1V4eflM7wamOPPyPHG8e6DzntfpZynurGU6B+Z1xYya4/GewTzw088f+fGnD9w/PnI8PFHMSgkLzjs+f/wEbx6xWhp6WzrmywVG8QX22mF0ZVkmnHakNg2steK0ojMW03tOpxPPZ4vr79BBEdfE58srTmushrvuDuccQ9djtSGFQFhnGDSPd0/8+U8fef/2Hc5ZlLOczhNWWXKs3N2/gVJxupLSKpM9L8E5zjiJkNeKmKUx8f2A15o1J5S3VKXo78Um8PjwCLkwn08imrUdp9OJ4fGREALaOfHjjhLcUUuhM04QVx2pJZBjRuPEVzplhqGn8wOn04m+H8EaShHb15Qy1nY7BWgNK6UkSqoixNTNIcsYVFYs07xrH1Q1VCfPtrUKawX1XdepNd2dgGawW6epIFPIohXVGtacWJmJRHrr6E3PUgo//vxJ3E8aNcr3hrRmXtcFYxV/59/Re8Poei555ny5cDgc6K3D9x2mQTE5w7oslFgZnw7UZj2r0dQsNM6HHwbSHBtaPGCrxh4autwNxFRZdKa2cCHb3JK8tuSyssbIeXrG1ALrjK9if/vm8YkwT2Adr6HwMn2GXBiO7/nw+cTH8G0LuGpAWUPXGXIUCmXvelI05KFj6D0xB4ypBBG/0A3SiM3z/N168pfX30SRfO2wRJSkqkRJFnVFS8xfgJK37rAUKZKBXZS18XVLqY3rJojZhgrWXKhZUEjbrH5qEexrR5uqTM2Vbk65SqEMaOeoBUEZq6jonWrmZZWWBCXjiqKvpPzbca28HxnZ1yoIyCbsU6qg6/ZweaFX1GsCl/DQ2EfHsPHTruKeghQ13l/vebOc2lDrbdy7qfG3/26M2UeKW2zuVmQrpchNnLb9fEqJl5eXr8R98zyzTjPVVyzDjqCSi4S8pLIXCTEnwhzxWfOHf/OP/PThZ/7pwwfu373h8f4ty5IaGq+xo995VGThkNZaGbyIMHYOEuxIgtFGkKqS5HPTbXDWvuccFkpDt7yxxCXQ+Z6onERrNjQ9ZQFvnVFYJShnyWBNExSkdXoAACAASURBVOG1v6m0vLq8F5Bgj9KQ668RrV89Eb9AK25/1lqLVkJLqLX8Cg28/RuKbdCgmvBPCMGlVuHdFpnkKBQqC8JZldgFmSpiTrW9nyss3pBg+WxrQ203brKgJwrUZtwvr7GxlvcpSRUnjBwjWQkig9pYq7/+XGqtWPf9MJH92Sotjvbm9zcuoGlrc/t7wl3rJF2rws9//ol3bx4Fga+yTlOIOPV1CEitdacK+L4XdrYpFC1UJ/LG8ZWC/HK54EZPbGEzmx/5Ldf4FlG6tSzb/52+Pv+3yNNX37eSRLBbZLrWSokJGsqoWnLgljonS+K6hzrvWC8zJEn7jGElzAvv3r3DlcBy/khCnCaoEvKSSyHOi7yfMNM7T+/ErSKugS3d89OnT1IUOcd6iqhlAa34zdv3vDx/5vI8MR4OHO/vSHEhp8Sbt2/59PkDqiB+BTtSJ+NAa+1eoMQsY3SlZAS7T39qswnUBmt04ydL5K88J4aXlxfmBdYY2/i8hfWYq8hTKbFmjGXFGNX84YXqVbIkn24N2cPDPd5beF3FV7gAWRDil/MrZujpe7Gt2tDMtIZdKGaNIWoR51H1jqzO84zCS3HXnqe+73k9nygpc388ops947xcoLZYdyPTUass2ll6b1lTFORTQS11txvciq7YkEfnHBSZeD483pFCxFjF8TiiauXx8ZGuGzgcDljvWGKgS+IpX0oiZ42yGuNaE+gsW5KuNIIaNmtLq3aP+y111Xsv5VzQeG+w1ZFKaN7KCtd1hCbY2/aDtMhe3nUdKUfWdca56+RF6gFFrmlvNLdJkUzhvhbV/vKs3JrXkuV53vbI7ezb9pddPwCsa2ifZ9fW8LUJvp0IKSWuW7LXyqwyxwQxEwtC72l0kI0+tr23UgrTMuG8kYJ/8Lx7947y6SPrJJZytRkI5JpRWhoz1fl90imfhaDR20QtJShFU3JpaYQtlCVXmejaptdIbVoKTXNS6fzAssyUVFmmM9Z6jO0Y1ogzmkuMjP2R8yWAclSdOJ8uvL6u37X93M9jI4dUSpmprHg9ivbhZp/fHH5C43//RfruL66/iSJZaYPrjmgzYJSlIlxIKW6l+DPf4t62yzYXCN1I4XshqQWd2WKevXUiNCsKrQSBO1bhykxroLcKp+DKXymEpfn8ZdksYpLQEDkUDdlVTDG4ojk6hzER2ytUhrLI7xUjKHlMKzkpkgaUxypwnVirpct5X+iuqVo31wBtTDvIWrpWZ0lrIoRZ+FkxtvclB53vB4y2VC2iIt8PEqOqhSZgnDyQ03RmXgOn84TWIgCI60pJiXPbBDYV9yZW2v7x3ovXcdtMrbVihh8lvSqluG/8qlnqncsLtmXLl1K4zPP+t5xzXC4Xnr/8yMuXC//j//Cv0Mrx29/8M0x5w3LSpDnw2p24v1eY+56iNX6QcU3IkUplVL9INiyFvIgNW2ybAJ0lIRw3Mb5e0SlyfvlEmk/cOYs5HplTovqelBW5zmgNd6NDR8N9QdDRFo6RNdga0SqK2EFrXFXk1A6dmqgEtKkYLXyxbeKzUVPk+0d4bRtNgrK7n+wbtmY3M/lL3CqrWrGkIVsNVUSaz6dXSQdLiaI1Qz+Sz7MkGymIW3hIs/RxStbLZmvntbryfBEKRdbSjOUWZpGUQmeJP61akN2iZGxnVENEq8Ql97r5LwNUJJBEK+Gtt/ve7tWZ/pv3uhWwMpYX8rM2RqJgXd5dMUII+3rdDj1dEiUmjsPIv/yf/iX/yT//Tzm9fmTpzpgsQlDnHNWxu2MMvRjpS7EsG702VnQRgCtb7Dxoa2R0ql1rcuSQlAJWGqjt+dqbd3OlFCjYC8Nb2s7GD78V/UDjz7cDZCvA13X9qsDeIrRVm8psfvA5RUpQPBzvCNPE68c/YgiYvLK+PpMVHA5HQo5M6RVaQeCMxWixaUspEZeVHAO6KJwxpFrJOXI8HtAGXr48k9bIEAa+PP8Ec6BzhlOdWU7P/MM//B5nDf/H//a/UKj0VvQJW9y5M5plWeQ5qbUdwOJFvvlrT6ezjJa9xQ+e15cvFA3H45Gwrjhj+fDyRaZR3pFyQvUd3lsuqyCNFs3lsmKNfGaHYcSMEohUS+Xnnz7QdTJh6A8DpRRMs0s7vc7EtDJ2Rw6uE5HZweD/7rf88fPPnJaJznQUKrHGlgibmOeENYZSMvNlZqoTduhxxjH2nYyjGyUqxJWcVuoaMUMngUhrEzyzMjoPaEIqLMuKdUIrtNZSrEZHJW4nKnOwsg8vKZFp68UYUC2HVWt+97vf8PTmnv/7//oDXdfxu9/9lvPpxD/9/IX37y3v37+l6xzLsjJoSTEdBoWm0I8S4qExeK2JqTSnHqG4GA9ohdUabRU1S0S98W4X0uVs6PsjJYqY0iqaU5GhPxzYgmMq8tzlKn7LqIrvO3IW/Y0xRqzNisI3b31pPkybsESmeRLUfBj282TzLR7HYd+/l2nG6SvXudYq/uQ5t6lDwblGGeRK+diLca4izO1Z9tbt52tKCVcV2jrc4Y55Xcm18PDDW+J53YGrTVAP4seuKPz4xz+iVOX9uzeMw8DS92iliO3M6fueuM6EEOg6txfcWxFZSuHQHyQJODlKiVymC1XB3dMjRjdbxFTpO835ywuhADWijUHZCiXy/PnEGha88nz+MqPo+fOHD7z/+9/z+vxCiBoXPP/7//lvyV3k6eEBvXqmaQb97T3fjXKeV6OxzfCAUqlW47PFVkXiCjT0fb/XMr/UgPyl62+jSFYalIMqPFHqtZv6d8VRy+//ulBo4crCw2wepKoIeqKQgsGoyv3hSOcMWgtPNpPxGgwthCJWUs0kLa4EQvuQQkUp8Z6VhDSoxlG9wSbaxsfOhVGtcBKke+NZ0pBk8XxUSJDErXL9qqi/BnxkJZGacBUFbNctGgUiBDTaNtrI10r28XAgpkT9+JmwCF/atdjnkvJX3XVVVxR843O58bB3r9Z7jBKbJu89OQt6ZozBmeZ4ERbhzFlHbYirUop1ngmLCJ3iGvnzTz+Ti6If7/DdkbzCh58+8/gwcDmdcMbQv30Q1Kuh2MIvbuIqhQjjjBHeXEvfyQhSImOmVmjaSl0zKicIK2m5kPUq3CbXUcIsorJasUZxMJZiDN1SmImsCH891woxkY1MA7bvbVufSiG88psiZ0N4t+9w/6eU5nxRdl7tLWpYcpFUpqq/GySyXZpWxQu8ja7sim5khchaUxqtG3FXCy+6pl+rgTcEZVPa5Sq8af2LNVidpq5FpjA3dLxtLan2uzUljroTazpVJY650TW+dZX4fZ9LcZr4f6l7sx9JsuvM83dXW9w9IjKrssgiKbExmtY0MOie7ic9zv8/wDwQMwMBI4wkqlSsJTNjc3db7joP55pFZDFL5IsAygCSxaxI9zCzu5z7nW9p9PyGVm/WcDSrKFVfUNn9GbXvctrw8Pi4F6PrvDAMw+4N/roDZK2VAJS24JbdNUEcR1JzyCjNBUEfDxhnse1AaKxttK/8yfPdrlQyZkOTP8Mbfv0+9udaP0Wmfzr+KjQ3GuHbKrYx2d4ZjWOfKtklclqoaSLVwNvB8ThpSgrEKBSg2OKecxbLSVUr2lnYrMlo9AvfkVLg/HSllswwjtzcvuEx3EunsGrOj08cjhKMcH6euDw88eW7L5o4UfyIBe0QKzBnFMV7EVWniNZO0OSuJ4XY9g4JdAih4n2P1pbNNk4bQwiLnJFLJiVNPw48fVwaqipCSW0d3spBU1VFWgMUscIKIXC5BIyqWM2eXulbESqIPvs6Ok0LSgmyaTSolITqojWViukMx9PYYo3Fyu7meENBLMBKi1mu7R42Z55SxCPfm5GxCbYqQvcIcUHhmptThmooRpFyYl1jm3e6aXAkEVG1YrnWyjqtFAprCCheOnavO6LGGGqKjM6ByliMOHyUjHUdp4MEQTlXsU6hiqEq4R5bZTHOyTvbgY24d0ldE7GvrWtjm1e6FMNStJUsey3WUdYgjkwV8JVUZd2nSrJfihLgo6zBoKlF4bzMnefnC8GEFnH9qVB3A3Ze9CRCE9mQ29dILo2HbKzGK7EwjUlQ75I3tHrrTvDZOVv41KxAaGMR4+Rwu8bA2PtP5vi+nmlNydsBZaDmtItGXfvM2FB3XcFuOiKaAFe9iAlTSox1xDlHKrKnLWGlKBiPBxT2E65/XhdCaSCRkcTLmBPX6UxnDSXlnQd/vs6cQmBZAn3fU7XheHrDnEXwH6NCuZ6b27c/s+C3VEsFIRW8sZg97OV1pvBLSuH2rP7DcZKpilqsEK91RamCpsjC1O5l8wr93LUXck32BMimqF54fpvVj2kKzRATXW/49Rcnbm9vwK78+P57rtM9SifceMI31CjUTCVDqnTFoYsCZaRdnye8kkhNdxyxJvP04w+UuEBJOKVxtiG8zbaMKhYrtVbWINwlazW2tZx2Cx7nUdYJP2s44X1PjGJarjVYp4hJhDYpx13xXpV4e1prsc6LzcurtsxmjxKyJBmmJEENYz+wruveknhdIFnv9naf2Dp1eytpKxqc0Tw9PTUEeubDhw8yIIugEVoXqomUOAIaL9UMaYlM88x3333H9z+854eHJ97+4jcY5ViWwHN45iZ5vM9cr5beO4iNXtI5LJrShIM1ZZR+EVLYFrhQaxUbsppRKtG9upd5WQjLmYNXhOdVWpRppbQwk1Iq2loGh9joBc1tUQQqaxHkGGfoVi1BGRR5/sBmuaUwLEvz60VQQu/EL1dpI4u4VtRipHiiiKpYtXCOJiHNjZufUxUPYfv5WGNkmIlXroaiBar11mJjwaZKpww6V0yuzL0hxCJ+3EraebW1bHd0xDu8NpJCVpEuhoFUwSsj0cFR3EBAtUKsSLuwtSFjlXu3Wj57o4DUNsdr47grrQXF4gVdAdqz+eNrt/xp77l0gsrFGF+Eb1UO5BvKuo1v2xlKKkxh5f5y5v/9l2/46796x8fnR4pRHN/cNn5h1xBog7UG5yTpTikRhUnnStqh/SiJbE8Py04B0Nbh+7Elu8k8zOnFHooqm3apgH5p/e4b9asNcaNebCK215SMzdt133BLwbXviO2QYRvivtYg3bqyHT5E8PvDd38gzRf08sA6PXD/4V/44u4N1MqygvJSVFIqda5UVzHND1hrjWlhRiksvP/4AVcFkDDeMU0rp5Pnza++pq4r43jg4eGeHz98xHtNpxT/8H//P/x4PHH77gimpyzTbg9mlSYoxANeKbCauCY658FapumC957TUTzT4zQT14A1nqwU12UVbcUkPva+szxdrxAjvelawYW4m8RM1x24np+xVnPz5k6E3jlhteLN7c1uA9c5KVCneeF6mRjGG/p+YC0LhcKcAkoZHqcLN6PnN2+/YL5OfDyfWUJgPo6cxoO8t1Kbj3E72PtGPXCaNTqeL2fQisNhwGioRjNfZobOo0lQEp232LEjRsUcItM1sC5B9saUma8T1lreffklxhhxuYiR4+HE4XRqlJXA0Dl++ct3XC/PEpxy+5bDeCcAx1JQeP7Hf/nP3N6e+PjxW7pOk9fKwR/xzjP2HUoVKqv45iop0kT0tVEbPFpXtHFsXeTO+91+rVYRro/dyLoEbDegbGbNK4c3bzg/X+k62R+1tpLOSMF1UlRO05XrNEnsvBOBuULoFtRI13Wcz1c2u8ZS4HQ67TQIkC7U1oGZJnG0stbSdx3hVdcrxS262e6+w1sMck4V7x3Hw41kMKAa1YRP5vGUI74tXBIz75hqIi1z66hZ6hL39WETzO9FfIWaMmM/AIW4zsyXq/z+TUhdtSKEwHCUtcp6Q8gJb9R+KJA1N7OuK9pqeqNJHxPKWdzQU4ql8we89ahcSWvgfL1yOp0oSpFCYLpe+fH73zP0nvnhA9PlivUDt1/eieC298QC95dHslmpz1eUv4HBM7z1fDt9npOcS6GoilHi9bykQo2ZL97eUtcgIXIbONBQ/Y3a8h+vSFaq+fGaNmkMNb1w5EA27Z//6xuPrwU31Nq8XGkoY5Vi+SccI2M0uhQ6r3GHkYcnzfkyN6ud4YW/WIV3uSPA7c/Ewqqg9OZfqpqv70pNq1hCaXBI8Vu3/n4t7fQZ0fbVIlDEfsbZwz7JtBNrNN/3QluIkYqVSVJaul0SQY5zggJXZcW6qgkHrLXEUsTVoxSWEHBbYdI22tzyz2su4ppgLa6p+HPOzPP8SWvIGMMyzXSDKElp9JYQAk9PTyzLvLe2Vc5oo/BeJl6KK6BZ24QvOZOXwOP7j4Qlo5CCPoaEdyKKcs4Q5pmwCD9JsXG3W9GUC5uTh9Ka2CzXtG4LMaCzcG9rypgqRaCuUFKm5szQOS7OQJT4cbn3F59uYzTOGbqicUaKgh0RNlqiylWibHzhooD8UuTVP47H3gqk7Wc2l4htXmwTekOct7Hy+vocEvnTf1+rRFwrJRuQRpL4dK3Cl2wc2dRQl7qtIVp+fqdbKEXIokTWRmKr8zYHeSnKKOIcgjA45FlpKah1Ad1irrdVbPtsoUwIElVr+mR+y4Hr5+/zNdq+/fNWXGqthbe2WfG9KjhTKbubDUYzrwsYzbquXOeJZV0ZW9G5c1y1bh2TvLc6KYpUxLqqqpcOg86bf/cLrzWlSE71E2Tq9bvCGDlIb24cKIkW/iliXz/lLMvm9hM7udLQ+Vfdje3P9+8Tng9bq9laS6wtkCPMdKYyT88opRhuTyQKWot7hTHyvnSuLzSPtrFDQRc4asPD0yPjzS05NmQrrtz1gxxslbRDSwl4Z4jzwqQ0401PzCvHzor2g4TWss5LupnQS+bLlZtuJInSYqdlYCw4L90C0wI5StlFw+t6FVqaUuIQcK1kDar5OqPgNN5I6A4ibC4l4Zzd18EtFOKyRKwV56J1jbs4SA2CFBclSP7T+UxZNe5OkZYVqzWjd23OiY2gMS09srg29ySQKsbIOi8o5SmbngVNzhFnHEbJQa3kzJoiwSpq7ShV4t9z1fu63AYRnbZ0xvHUQJbX/Nit8DLGYL0TF5MsziUy3iwahaWSlonOKI6952k+44x48JaMuFSprWNRdyqHuMMUxFaysNmqGWP2ArlsHQo2xx7pqJZcxdt3GHh8eG4uDfK50iFzkvza5uc2Z1XTF+RUSSnTebNTZhQbglpQzS7u9XqyuWHEGPei2Vq7Hz63uWhto31RGm9d73Nts1Bd13UHsv5oXitJMiylyOHTNkR9Xem1wzrh01vv9nt73Y3cOPtaVbwVUCvHJM4hVJz3YDTO2F2A3B17fNbo5sah9Et4WIxR6Bhakmsz0n3cOgkb+AAS6JFLT86KlAIhLIS44HTFaIQLnyN3b+9YrmI8sOYsrldxxlKpOXJZzoTaUe3PUOycuJtY53DGEZe42/ft+yzSxtzWPukSwPX6+cL7c9dfRJGcq2KJGqcUXkkAr7aSxtVXKQbLz9iAgPjzGa2abZEQ+a2GNYmwxGlHVQatAqEhVb4fOQye4WihRFhWbnvPo3I8n2fur9/ih56uH2SzV4q+KLIyrCqTVEZbQ++/oDOaFAM3hxvy0LF8fMM0PbKuHyha07kbOtdDnVEkYlxw2uD0QCnrfhLcTjmh5HZS88Ra0M6SygOWA0QDuUf5AZUrJLHRiVGQRW87SvHYTtKwlNVUW4nzSpifKSVhnWGdLvzLP/2B6/UqE0pnQgocTsfGxV5ZputOreiNcDIXJS2Yp++/J8VF7IYwdE5U/773PHz8IOiKlgAWZzNVKaZ1E8kIilaWhSkvfP/7P/D8cOYxVUzp6MevKLVHq0xIiZQXlh8E/cmlx9orX/12wRlNKpGSMiRDSoWhkxNtr2yjtwgH2VZF0WJPFG2mlojOF3QAE67k5Z7r9T0qXPBGE0OhNzBTqSXgvEJ3DqMjg4uMDBxUz7P5ipAKw7xy8bXxxyNLCtKKUl5U/6bgBoNonVI7LJQWerApiYUCZGyhNq9X6bI0HLlCye09u4TSGSFMfB5NfgxwNJEsazS1ZuZw5nF64rqchbqgRT3eVctaAhqHsw7yBrxXtO0x1ojQMkJv5KASs9hVuVqhJmobv6ooyhKZXKRXRriWWlq63rwUlsYY0JlQXmyGqoZYAyHBsAfrKHFfMIZYP3+vhUpE4qtJmSXKIVYU7NJS1o0mtW0qSinIhSkFvO1Y18ipH/nd737H8dBzc3fL+XliWRKn24GsC9aC7eUQV22mWk/OkZQi6yLjuzOGUCQJSmtLSJnLtHJ3OhBDbTZRcnooRkJh8rqJADuhoUQJecgt+EA35D2XgjOSXJZywlvxlAVacVwZuu6FBqXFRSQjAruto1aL2EWZIp2qvHXqaqJoh1r/FZaPkCcGtWBilEOl7wRJrxWHZk2RWiTxbVkWKXRRlJjQujI4y5pXzsvCeHdDjIFCJsaVEiLXElsxKsJCtSSyLvzqN+/wnSOlK4fBAy12XlXO05WqDLYTr+LlErDaM8UZ6wZc56FmlulJiu+uJ8YV56Uou85QsqUGuMSEcpq+O8KykIZCSpkcVzqlwBpUmXl7O6JUZVnPlJKI6dA0KplSRYw1HoUTOxjPML7QAmgx5JlKIvHu9sjQ9Uw1E5wiatC+gxSoJVJzFe6/sRTbkUrmenmmavjF119xPp95vqxo3VMTpLxyvDvAari/vxehlZauaZkia75Sq/jk990N1reOYoTxeOS7h3t++9vf4mfh7NqqmOYL0zxzc9thbcccKxVPUY5zmfB9RwkRRaJSSMajsoSM1BJ488WJ2zvdgm1k7CjTQymgLErpNg/EUlQbt4+dlDQKw9rS4bKo4VBKca0JvOcSZK71w5F1zYzHW5nTXcA4sQLFO9J1ERpZipyGE7YfWVIkWQkMs4CxIqg9HG8a4quxuvL8fBY0eOhJOdP3PWGVgBPxKhdAb60ZtIQqaWugWOL5Ih2cVmSWdhC8vTvKYalmaqcINTEWjzJGLPgURAqd84zjSA6R+TqRQqCzFt+Sb7dOWEqhHVbY9Qlb0VmKUBCKViLONgrdnIPqIgX6Mig6ZzAG0npBqUrUBmfEJq4inWZjJMhGG43D0o0j2SrUYFGjw3Yjy0X8mEZr6VGoNRAvF3SMdKWntz1P6UxBM1iPWiKH40gsC9cfP0LRjKrgf/EVoSoW1RHdCb18Xo9mV/FU180K0XhNZz1Plwduh54UFo6+I+REVBLoRpGD3+APP1tP/tH3/Nk/+e9+vSKwK3nhO5HxT1y5qawFLdrQrIawVf3yOU0ZpJScfL1WGGfFf7hRCMZxJMTMJQRxYIgJrQvWd81DVyJ3nRJBgSmC+LwWxDiv0UvjGtXSwAxFji22qTqqMWAdqiZxFmipXdY4lleIk1a6oSCKmiM1riinydlRSsUpRTEGWzwWTVcNV/2CvMGLujOkQkmJ6TJxvc483j8IYX/oyVXazWZp7eicyDWzBBEq0B3IqbIUKeBUKmL2bwymLWid86xxlYUCYONxNY7gskhkq2q+klklnqcz948P5FSx/YjPHUULohGheTFL4lehMi0zS47NJk8sthRbh0BQBrbntnUOGpKslPDhKEl+p7qI2f96pZZEyXF3R5FCaiuG5KBmjNn5oZqIJoDKVFWFs64UqmqoBjH0eUmOlN+xopQhpbx/x8bxlYL+U66poL58ghAI19JuZZG0C3n5e6+vlApR7CtIKaMp2GbxlYoo2rdCbUgQqiapik4bLUQJd806jNKvBB3NiYU9g29v+3/C9WWL4a7Y7TTf7jPnBLXs4hd5f6BKoWxWcOXlOWzPqPyc3mJrWQog2mLBRXBUkGVAgEEpTv2OvsrBVxnxEjbWcv/jD9zf3/OLr3+5F385Z4bWldk2ImBvqRpjmJsQ9XA44LTYPOm6/V56R+heIz8li9s0r5C7DQXZnX3a39ve8msE+fX1er6/toUDeR7b8xGebBtPpaCLdNpyltjaVDLx8Z6yXJgenzE2YYwWRx+tqCRAEdNMLpFSM0pnrANjK2kRVOiaEq4hbYGAMYplTaSc6KxGpdaVauhvURXnGy2sUcpSSqyLYhg+5ffWRu3Yx0WbaFqL1SBN5GVamqWxCpSgaPK/Mg9qFXW+cK03v1wRVKJVSyzN0gWrGecMMUpYvDaO8TC2dyYt6W0PAOH+p5Q4NEHfOHTkLG1xayzzdSHlxDxP9HWgd75RLISrqyqEKIKqYRhY14W4JgljqUWCgqzoLowyKOPp+541rZQMXScUIEIiRuHK6pLp/MD9/T1j13N3c+QPz0+s84Q1HqVW+nFAZUGteyet+JIiqibpulpPb8G4jrhMVJXoXI9F7OSUFt/s0g5qscjvOVjpzqa1IcZa/KG1F1pLQYE2uE63rlvrwMjgpijQuXWsSsIaL0XqPGGcR2tJYTTWYVzB+I4aZkrNEk419ihnhQK2rVFtj9rmjqxfeheUb8BV/oz2Zx9/TfxKUTuvf2n0LzcMu27BOTmQSkdv89oXm1mtNV550f6kuB/gN/Q7hEB+xQMHQZdfd85er7/KSnhXrbmNa4UuEoyklDjOGGMkCKjUliQpSZhJ172jABBj5nxe+OqLt3jbCdUIsX/MbMmalVIDIcygK753lBAJ8yTpwkbyEbaifusaHDVtHPeUBKFmclpYi2ZJlqgy+meEe68pZUopzMalTtL5qN5RrVD+NO7FkrOqP1o7/63rL6RIFjRNN8HDtuFJkSgD8N9SIwrnU5GTLIDblUtLWAGKqqAsojYCyJQ1MC0VrTuclYL44HuOg6VPYs5dkCQ67yyELC0nJ6I+5xxhDszzhNEC5adQCTWSq5xIdS2ovECuOA8ZjUacINa8MmzZ4tq0NpNjsFY8Bkul1EyKUYj+eaGmgqtRprlypN7huiO2ChiDMfgWfMHWqk2ZdV5Y54n5cuWf/+GfOD+eKdYTUuSYIbf2znfffiuLO5W+77nME9frleWSCU3I5a2i00lSeYyhLNrIPgAAIABJREFUFNDK0Pc9Nzc3QsLPhQ8fPsgkb6rZ6ToTwsZjNqg0oTX8zd1XnMZbvl0WrlHxPOe2gdXWOumE06wKz9PCZY6IYLmiTcU7w9D3u0Drk7ZyK4SMBmM6cgyEacWklbDeQ07YkljXM1YlYk2ENFFKImP3BdTuGfBtcuqAqxGrCsk2usm6kqKi1lawA9p4EXKlBI0+sBdIr1rtrwsvNj6+UjsH+XWhWKvex7X81+cnfK2ZJSXQ0t73WlHyQo4vzxatyQqCrSQHkUpt/NTeDzs/fkMvpJiPKC0bYq8MSlcChZKjqMq1pBhSWohIqWAUpmpCls82rZBIJVJTEXpBEwRaa5pg90WMqZSsAcJZ/ONrE5psfOZNECtWU3JwqiCISm2C2iJjPlpFKCJm66zl+Xzm7//+7/lv//1/4/b2llor9/f3uFbEMLQ00JbG0/WCjt/cnljXlcv1TO87ifU1njWtGPUSkQrsgSRpXcil4oTILeNE6yZuFfcKazev+BYPXpozCy+I0mtKilEv0az75v8qGrdWSFsrsordJDlTU6YuK5fpQvzwPUdbydcrz/HK4dd3Mk5qpq4rVhtUEb9bAO8NMS6cz49Y7fFOkSLiKpIzByxqSZy0B+9RKJLV4olN06AoqCTh2ecXiy2QgtMa0Z1IB0L4pLrtDRu3O5UotCjvhZteSou1f7HHuk6RlCpTihRrW/qoPOs1RbHM7AQUSbGwhonDYWBZ4l48TXPg+XkhBFnztNacp+vuprE9c6MhzpOgitbTN3u6VKRQ8d5x7AZqrhyGroEJC3MQ14I3d7ct8vrEdLUMvuft7Rv+4f/7Jy6XieFgca5nnjI5J6oZqdWQS6SakZAmVIVOG27v3oIzPF1muq4jLivTdeHdu3ecz1euq9yf7TzhfMakyJuDeE1bXfAOjp0ipwnnDvS9ISpFNx45nnpUjhATW+rkkuTQ0Y+j0BQQsa/2PTVnlpwoqZBK4e3br5DE1lVs/kpk7EYBN6wR1wulyKG2dXHCmUIIiceHJ+5+9WsB2IwH3zEeesK84IYR5R1ZafzxBm8sOqzieBGzRI43OtQagwBK2u0o8Ou9ZKO7bQVkafRIpS3D0KGtEg1RrSx+JivF2qhTSWux2lvKbks3Ni57qUL1Ukrth8oUImFZMc4yHEZ83wn1qQqf21pJpN3cvLaO77avDEPf4pozNUWsMyLO1wrfdXvaX6oZpw2qwuVpoh88hy/vGIZxd52ap4XpOrNMidErbIuPz2siN/AkqUQpka43zM+JGFaW68Tzw0MT1xeWsJCwOOO4zA1gm2eeHq9MyTKlwiVrWGbur4kfI+hDj7/5fJG8HUa3gz9VouWL1SjnKCVRG6XGG08mE4oYJ6Sf0bZ89nv+7J/8d7y2AkBVtSPAGzLlXIOaXhW/P730pmaFlhdeEFti3ZAFEeysSuxhUJVMJNZISDAH6Jxs7renE8Z1+DBJO1mLerMA2cjEKQjKM60rYU0MznIYhz0eU9sebUe0OWBNxhmLNwZvPRXNQmLNC84HtDrsRci2sfX9gAZSiPjeU50SnnOt+KIoc2INsth0asSPJ9CGYIQ7baraPy9H8QZc54n7Dw+C/FhL0Ib392fWdcU9TiyTcIhPpzfEGLksM+gLfhww5oTrxC/RKYNVEdIzXJ+ZcyIXwBim84XrdWaeZ7qWCR/XlVglp35dxR7OGjmhf/XlyDgOfPX2S1LjoGeEf5YaAjl4T07ic207T04zaU58/PhIZw3jURSzZDBa0ALd0Iy9cNi8TgzoWEnThIkzOTxQc8AkjVWBHGc0rSWtJI9+41s5a7BGUYIUYkl7qD2dtuKoYAvWKpapUov4bUMh1gi1kkvenRWMeVlwt7Fea8WojV8s3GmttQgTzIszSa2VXCXERTxIK5L298eXdRVSaS1U8FpzfjqTpgVCwjcRq6qVaV1IJZFoyLwxzDlSreYaBSGrGkJYONiKzgqqQol5rSCBDSHVyAEmpiILVutsGKmY2700QSh65+Xn9u9Kknbh4Lv9no3ZkOzPCy5clUK3tA21ZkEonbZSNCaxD6umrTdaU3WlZlBJg650Q8/58oQdLN9//z0fP37keDyilGKeZ54fHgURPAxtA5XiPDSrw9PpIPZh1zPny4PoA6jENHO+PGCcpRsGeYfplSo+ZWwr/gVZlrXLtfSrGJuHeT/uLdYqJ/39ePTaeUPzwlPfN85W0G9jbfv3u4tNlUIBA8YfUM7ydP8dRgfGo+N8rZze3tB5AylKhw2F1o51XckZum6Ugu3yLN+dEqVWKIba/NBfC2qN8cR1QZHxtuKsBlXwXjNNedcD5Fy5vR3pvCWmhZIyYZXAAmkzQzWIACorQKz/Lk/PUuB1Hd47aWXHwnXKzNPKXCpViRrea40bHenyJJ2XKn7maIXXHSlW+u7AMEib9vaN3+0u52Wi6zp+/ctftJAIKXCPg8QZx3kmV7g8PjdbTLHyylF838dxRFlNOAe004K81Qo583j/YacHGmNY58B33/1Af/sl450nV8s4jkzLFe1vebo+8/ZWBIs//vg9t3dfcaiGeJ1RrsMfR748fcX5/ITxgbVk1jWRkqC3N7e3FArkxNvTkUNvuJ5n3pxuOY6eZX1ClcQ4eJy23L79guHQM+WFWg3OdtKRcRJ2gbKoasghswQpQq0Sqk81BuUcnXM8XVahEKXMzZ3EEC8t2EsE7dJtKaqjkrBjJ8VnSXR3t8wx03Udw+0brELCMNSC9h1OOfCO490X1MsEzlDmidzqgr1A3XjotCyA3NZeaUfIPs0fo7a5VHKupBLpncO7nl9+9bWMjXmm1krnJEpeNNqVHMvW9Mb17tP9IEgoUlXCCV6z0PMOndidTlmCOiwK5YRqsInoNyDlOp1xznBzGjCmQxupsabLlaQUd6cbWZ86mOdVAkqOJ2qtrLMihZU3bz1dp7m5HRgOX3J/f+U8X+gOI248Yfq3hLgQA5ScmKaVdY1M908cbcd8vvD4/MTt7S3D4UAMmfO5cL4m1qh48/aG796/57wUHq8S6uas4X7uuWYYv/g1drgh1s8XtMY7DIquaUNKynTacqmBy7IS54VRG0wsVBdRzqBVo5fNy2c/83PXX0aRDE3m3qIReVn0twLhT4mTYBPUNVSlFci1iu9qpXk9KiTlrAq6NK8LtUS6JgbRjTPpvUcnTanC56mpYExrBbZY5mVZoOrdbD2EIN6dLaa5FPbGjlLChxGHLdVajBJsspmqQ23oSFOulyKit6ox3rR4ykyKK5f0hHYrvlqUSSgrbgYVTdlQyJj22NIcE9999x1rXJiWzGVZuSxRBH7G0NkBXS3zNeGc5+Y0kkqWDabvCNdmq6Q0pkpaoGtKXzFSf2kfjb206K5PzxK4oMWqRUzRjZyWjUN1DtU7Ys1cQ6BYTVkTYt7fhGpaS7ITWQzUowhipusiKYKHYeervbbpeS14kxjeFyFozVm4njlTUqREhdEbUqpw2hCheXiaVgzpvbCT1reltkJW03x6MRRbKFnQa1CEFKi0thpbCMinccIvY/2ldfRTmsF+6Mm5CUokBCLnuiPUfzQfmspNFRHtbYb0OUYpIhV7t6HXmlLkHeWUoRSCqftY3J5vrgVVlZAYciVXQBWKliLvRTwmAtBc5bslslRhN1pVQ81FSNWKNt1iUNWnAjwR2uj9d/jctdm41ebh3GrIRoER4eDmma6UiAhRCmU0OotdpLWWZV0ZOsM0SQelaxundW43o88lNTTppbW+CX+sbUXLORCWuY23hGvdsY06sbZY8NcF6za2FBsab3ev4w3Jf73WSQpfeCl428/FV9Scbdzwk7CB7TNC8zMvOUGj4YDcw/IgY9L3ButGAQtaQaCBZZaWrXe9PJt1CxxChF3Nl35dAto7rPekZSGXgu893vSsi1ibbVSjEJddXLc5DShlPnlGn7bGaWiz7BWlpn0N1Q2RF6q2aXWWUHZyFupbroWYMqZIcWStJScJS5B1xSCR0ivOdTjX7eJkay2Hw4Hz+byLscZR3EsulwspJYZhoLR3nkskRnkPaZ5FtxEb1QiFsVb2J+vwvSeXiEpii/Z8mfBdz7t3X8ge048Y03E+r2jTcbrtibrjf/7Vr0g18eH+A8r1vP/4yPj2S5Q2xFRQueLGjvFwy334QIziyfz4/MjozR7gpbWWdVx6QXRWOKrzJPuXcw6r3U5JKBlQkJVGoylVeMVUQ06KUjRuo260cZrNC+XCOr/TKzIIHYuNKql33YUI1RS2hYIUFNZ1pOajTC0Uaxm7jrDOKEkKa8hrR1oDtrSCN0ui6aaPEI6xJm0C2W0e8XLo3ObvCyc4MYw3QCHGwloCOSeGvicpTYkvVAtjJIVTRL51p29u4VxCf5D5uwUfbbqaWqsIzEsRCzUtB8E5hn2NcE543Tlnzuu0z5VaS/Nq7sR6rxXVzjn80HG+TBQP42EkhATVkpr7TkpGqEVa9BJFCe+6oqBaeUfNlSeGzDIHUlgwqlJKYo0LVZ3QTSummk901w0cb2759p+/YVkj0xRQzoJTXC+BSMfN4RYzHMkt9fenl9i9KrrtD3Khmkqpos+IOaOrRVXFFMXJBuekVuHnQdefXn8ZRXJDuZSue5sas5lZp5+jXO5X38lmkEPcbz63AjWnih06HAYVAlRLLYifnrXcnTpCWFiXjO8sujNY5xgGEb+EJNYu87rwfI2EFEgpiwm566mtPRVz4uPTR54fn0ghEhu3UFmD6+QU6U3GGOhRxNyxFkVIF6CnG0YqCj8OWOv2IA6KyD24SsRvrQmVC4e8QDH4Y0/1X1EpEo1bDFqv1OZFia5clwe++Zc/8M1375muAZRtyleJwV5KxY9H8Q5elCSoeSd8ZwXLWrFafCm1EpQOb8m4hoCqlspXYFVUpen7nmTFii7lhXW5MoxHTDcy3N5yPB656zO973i/zlxj5joXkgGN4+AP6F6hTYSUyc7JBmMM989nvnv/Hb/8xTuGaLFD447Ztqi2eNytVZtrIVdNXJ4Jl4+QvyfUKyYK6qtOBlcrXbxpBUNEj555vjJrsc/qLCgUT8+JeQlcZ8vqRqIJKF2x1ZMYOR2FryuLq2dEDkvrkoixcX3V5rzwwi+tFYwtaGf2drpJYmqYkjhFKGWoRbMkiQRXOAyJ8jOJezXIoWtZDUPXseaVNc/iwqEVZVSEUvDKEtQqjgBFYVQnqvEmtgum8T8rdEY3PmYVB4cMtRpxT3BOuINF5rE2hX5TqJdMpuzCMVr7v5bC2vi1lSoRqG3zGF/V/muQPzv9XPpSLnhF48QJ759aoIlFN+GK6QpWW3KMaIy4e1gZK8s8c3O4wWDoTp7/6//4P/m7v/s70t0b+ps7fvn1rwC4Xp65Xi8sV3FnSa01vhWf0zThO7UX1ZfLhds3t3zhO5aw7iIugF6Jb+0aG3Wj6zBKEcLyiq8tPuoRoTZY3QKE1hVnFMu8SKCCUhgrBvq11r1dLImcW7DIVjhLIRKDHHSs9WjnCJdn5ucrar3iho4wZdY5ou1KjoLsGtexVlhrxrTDVoqBEkXAVpNiWWaG4wHlPSkEnFYsOZKNjJNo4HL+iFbQaUkJTWtulLUsgR9ZRMaHw4H5ujDNq7zaKvxi6xy1vCjW11VcOUJcyFTcoQl61ozTkeoN13lljhG6jpo9Jc5YpZjSwuN0z2mQcKfee7wXji8h0b25E9cPMsrAskBMGfLKqTtJQa6d+JJX6FzPNE08PTyjiwAew+mGXkvaZUpgsRRdyVr8aXOOcrjTCtW4kyUbqrOMpxNFG/ybX/Df/uq/UI8D480tqh/RzuO143m9opRimmb+c//f+eGHH7g+n3n68UcG75mXM7d3d4zuwNu3X/C73/2OUjKPTz/ibw54b+gGR7x85PZwoOsMa1mwnaIfK30Pd7dHnIJ+MKzrTFJCmTkN416s5VJwVmKlU0oNaNIUpbDeo1KmtAK4Ko3WPUlHlALvvNAmcdROENxQhSKplMJbCQlKSf5/P/pWZMo6E+KC1opzCDhnyEasF1WOpLCQTMF2ji/GL/j+2x8ItXI8nSilEENby3UmEeS7SyAHTWc7wjTR94eXA7xW5JKZ5+ve4VFjT6yZx8tHOQSbjDYa7R3FKLy2FFXIZHGcqvD25hatJB0PA/6oMbVnjYH1ekFZSZK06iVhtdZCjAHbaQ43J+xV8hBylYCy8ebQ6CsCAPoMJidOzqIGS1aRKcLbcuDuKDSx7sbRD5anxyveey5PE3GJfPWLW5Sq3B4HUlqIccH3lc4FbOm53N9L6GQVHcyM4/sP98znM29vv6KzN3SHkY/3D9Rh4On8I1/c3fH88cxcDce3N/zrx9/zv/4vf8M3f/iGp+tC//aOaUnE+YH+Z4LkrJMDgfaezlkuz49c40xImRwFbLtSKVqxZAm00TUKJarrPvuZn/2eP/sn/z0v6ZCJX6wq++kN2AudfwtJfm1/Ag1FpezFta47UC2fVVpMcFX04yDczeUsfJ3G5bVWYo9d14NSooAtU/M8fImAtk6iREspPNyfuVwmbIEi/T9ySaTSaBDGtFRAxKLOWZmEokLBNZsd1RCqqislR1qSByk32oA2O+9LIaiNqnLCLNpQamy+gJFaM+/ff+C7735gui6EICbtRZW9GKultIXGNCReTq9a6ZdUtcbp3O57PB5JoewWc1s0dqm0TdcyDAPdoMhJeHiH4434l96+Ef6yl5b//fLcEDqLdh6jzB43aqxC6cJaIlsMZoyRh4cnjuOBd1+eAE3aXADsp3G9tQrmWxWsOUEOmFoIpWCLPD+npUguVoqmjRqsajtMIV6VBkWomSmupARByeaHrlQCtg7SHVDiomCMYq0bEutQOgp1RGlU2X7HCnwaBCHuA3Lci42TLIWSbZuxhL38FIX86SX2Zx5j5F2nUqQwt4pYCzWLm0QoEk2biiT+KcT7VxlBoWm2QVVL4E2iomoRJw7jGjrO/twrgtD81I/yRanOCz1qp44rKdzLS8pmNfqT+1NK7Tzgn17yvYI61VpwCjQS3qOKRG2zpSyyoZBSsGwCnA2pt9ZiveLjhx95fLznb+/+K6U2AZLWDAdBC6fpKtxK3cRyDRFynUfr0kRjCWsdHz585KsvfkN3GAltgMkhXJDddZUCuAAmSTfnte/pdv/7vWb5XcMkiZhrELpU33t8s4XaaFwv4j8Q4bJpiXEKa2VNkmVPdAiPHx9Z11Xa/tqisvB6tTUsIXHqDzilSUGiilN6SeJ87dssKV6dIHEh0UYRVev2nw0NrJScqKXg60vnMOdMVZsVY6RE8f6NcSWGsDsHSIdHOofKaGJ64X1v9KQQ5cWvEdYowqJcpC2fckZpS9cZQbRbDPA6L1AqHk3WScABLdZym098SonSdaBgXgKltgjlqoipEFPBa0PVIk6LRfQWm1Xc1m3ZxH+gcKZDGUdM4mPvzcBwc6Jay93Xv+Hm7kvwHtP1ZCcUB6sdpRM7L9eNdF2H6weW88zvq2bsPYd0Rzd23Pgj/Tji+1HCbgCrLd56KFLgWyXGpdY51Cs6oDGGzoCiYI3CGw0aShUbV6OlXtoOZ9u4LY3GIHH1hkrrMiHjoLSDsqrNpQGDbSmLIaxIBoAl1yrdpkaBkL+oMbbRsopQdlIWvnFdIauMcaK9UKUwdp1Q6LwRjQFlrztq1TjXAZqwrFCK0AOdBy2Wqttet3e2jNmzBbpOXJ7Wi3ggg3THVVyheNkz8kua5jZvdLPfyyXhtMZpR0jNWrI5UqgW2rGtq845kpID7jCAQrO24KzOOaLWrd8p3UGtxDbNecPaoqUFUHKEKnNqGIYmr1kRnZiE5PjOik+3AZ01Wlk5aDfqqXQVC7ZTjONIDEIxOr55Q3+8IQD6eOLkBh7OF375y6/5wzffEF1L+Os6+sMNy5opVeN9Dy2EqP4MxW6z2IsxyH7V1rotC0JAmMbXNmrvomktIN6fe/1FFMmVSlWSlFbJgozll8X9TykR98jVRmXYhTq17uleGineShbHidIEZ8N4oOs6nj4EQhAnhWE8ok3H7jmqNd3gOFbdNjOJJTXGoNLCx48fuFwX/vWb71FK8/buC0ATq6XmQDYKM3SQFlQrgKzWkjY0jigr6mXrpRWAQfiSVaySnBEFsxQJKxkYhjcY11FrombxQ8xJWtXaaLQW66FSMh/eP/LNtz9izIDWA7mKk8AweGoV+6eM+PoaJbZesoNI6ANAyJlcJR686zr+029+Ra0T4ygpT1vxWhGzfqUUw3ikGw4MnRGKiVE7ulVKQa0Xzk8XLtfMQfWoaAnVNlQgS0GXKl45tM5Yl+lrJ3y7Hx7o/cDbtyM5BpKTFrGplVIM3rud81XiIg4NtWBp6XBFnAVKSYRFJrhDKI1b8WmU4qQclEK9LmhjODI2W6MOpX1DPQu5VlyVxaySUCqjKDjvKVlRdaTvFHSG2gSBMeadQ1+KiPS2Toj4N6dXTaHGXy2Kquveet8KhZ+dW1U8rzUZCljTS1SoFvGQMoaQIjG3LVobjBE6xZaupUqh5CqOLBvipSq2Gjorriy5SGiHqpJOZp0mRynmVNvMaikUXfdW+PacRQiiUVZacbbIwdig/+ggMM+fb70pbYCCrkJkMkoksprtkLNQSGjV7TQurS2pVKFf8fLea62czxd6P/D7f/5n/q7+75SSmZdm0+YMRlusdcQK2npub28/iZaezg9cLheMcdze9rx//57f/+M/8V/f/g+s0sxBEi5jbpSohkbXttj3LbVqK/RCCKSSdp/c3LxN49y8xqug1uenR4xX+0a8pXcexhuhjVgJUdhSspwTB4QYV+HNK8WXX97xfE6kFLDK4n2PHXvmecb3A2uL+B6GgbisxLygkMI75ISqVUIoquYyncXzeg047yShMUaWeeX07i1pXVE5kXIWB5UkIqZcFimigetlFi6ZKnhvqdXhrMFo1woiSZyrRBSOw2Eg50pYE9b02IPl8fmJ61Mg4WX8K4uy0Olu53LWWvHN1xwksneaJpx+8ZsHma+HfkBZg7Zm73wQKiEXlqsI9bTzYvV2vlBrpT8cGI1hWmbm+dqSFwWMsNaypite9TjbU8wR7wd+89Vv6E5HDl//Gt33uEGQzLAWlgI5KEzO5HWmGw0xQdf1hFiwrseNhr/+27/ldDoSw8S6zrwZRh4+3nP/8IHeWlSMHI2j5Mh8nvlPX7/lphtb8SIFb98cNuh6yIt46TcPf0oh1JeiUTeiuNlEilmQE60UCU0tGe0cnXVNNKmodqCwSocJjVIWlRU5K5T2OC/v6bpc8d7grZMi1CoMtoEkinE8YIx4QS9pEcpjhnEQMbnve2IpOOv46le/JubE8+MTAHZoabxFUWKktwu+FJawyr6vFYNp1LoGfmQk8l5SS2VttFZT/CBUQ2Xoey0i1zhjO6GcbMm0AJezWPT1fU/JlafHC8OhdYKN/F2y6Du6wwHTDmi0AK8qLBP6oROhf0o4IyDVOk/kHDkcRmoDdVJzI4oh8/DwyOEw8vbtl3z77TcMw8Cv//qXnJ+vzPNKzpEQF/rh2FIAHaaJZENILDmjcsbqyhoj1Xfo/o4lKYa3b7j7+mswno8Pz1xd4t3bX/Dw9ExSlqAdd6d3XB8v/PbdX/H9P/7A8/tId/MVxYldX0/H2H8eSS410g+eoev2zrvWmlBqE4BbchDA0GIotTK05NPX1LU/df1FFMkKmuWUtBFoJzp44dn9qUJgU4JvqVRVi3pdvRJDbWlWrznPoBn6kXg48fz8uFtMedeBVoRV0ISq2Af1ugZy2gzxn4Uje5nICWzXk4tuiK9DKYf1Dt05allBGazRYnejNLbzWOsbr7dFoRrTTkkKZzYHiSasqZsADJxRwErKK0obtECfpAbPLevE9TLz/HyhZVVRlGTeC+C5oVTC0dZaU1u7sNIidmtL73lVQNRK42rWXeG7cTIPt7cc10iplf5wpO9GjI4NRRdlbG0TeZ4kBSfGSE6qCSmaL3ZzJ6g5SwGlxZVgewfzfOFyFis7Z6BvsdspC50kl/gq2lhEZsZ6svXUKslz2loJaJBBJObt+SUmWFX5fg2Np6vQ2ko0qt7GowhtcgVVMvCC8OpcOPROMvhy3q2HcikoiqCcSg6JWkFtCvCN2kAtLW3vZZyXUpt9Tv2zDpGlJkFRlfxuucRmBWeoqlLKlkqpPzmNgyifNfL+S61kXXZLM1UFZa5ZrPmyEu63pmCQ+9j5sK/nepF71Vq+VxjaWf65yGcZLYKpGusn424TYX72PpW8C9WQ+UIAJQgZQFaytqgqh2StX3itlRdB24ZEdG4UXl6sPD9c6G+P7RkJhSUrQUCrkqKk72VTDCHs93w4HJgmKZju7u5YWvS69V4CL5Qi8mmXbPs9rLYvaEgrknPNxDWQW4KX1aYFdiBx8t4RwkLOSTpM2mK0FPTC0xWEbnvH22G11oZ2UVqE7ouVWY2KECIlyJrlvWcNYtpPSybTWkS9pdkyrtNKDJnOQg4Z95NNbkOJL0/PYqunDVVJMVBUW3O0xBXrdnBalxXTaCa5SBEg727jzZedsmBML5zEmNG6EkMUPq729L5jiiIis32PrhKosB1GdBtfG2cTaDZrNNcU6bSFGPFKYftOfO21pta0U2y2w6lzDowmrCs6SPzuzfFE1znmeSaFFbN143SHTi2Bzhr80PNXf/M/YccR9eZLMJ4QErE5omBeiZOVwtmOlbx3OjvfkV1GuZ5a8x4THKYzl8cH8jpj7cjgDF3Xc5mfGYcOyFgDx8OJWAQIiTEKbej2loQVSp61xGa9ZwbpXlznuYlYT8Qm1gxREDxlnRTIbUwq41BVYsExdk8j3RQ7tUrH1XiHdr6508g4TEUQa9uQ7NjWCmPEIi7FSgpCUysJapSxoqxniYlUC853Ms56OXCmRk9LayTlRt0quXUWMtpo0f9XAAAgAElEQVQZQgrNXQVx6rCauKTmRqSbgE5hvYg2VYXOW+mk5LQfWrcxBuBcR4pltxlNc+I6TzjT3JWKgCLZF2zTkRRqi64Xp6NNfLsfrEv6ZO2krakpF3TeNA+yWuZSpUaxhjWGV5oeAS1jXFlXg+sHttAQ0VFpQgq4UqhKXJeMGTC9wWboDwPYA0U7DkeDwhLCjHc9P94/ECsM4wmdNSo7lnzhcYmkgyWuCTevaA1Ofd7ZbA1XOZDURAhCP6tF7Sj/tj8658ghiptTe+7hP16RLL7FL/ufIr1qLcKL3cfnrt0doG2RIQTUOAgq98oPVLx5BTXMWuJ/r8uMtYddIPJ8ObPmgv1qYBgGUTO3zX5VE977tnlexCe4LBwOB9al0I8GZ3tisehS0baDEnm8nIlp5hfHXuyttCanQihyX0oLQl0UHMYTVRfWmFG10DmROlVVIWe0kQJVq8qyzJQUyO49nfP44Q3eaSiWSuT9+x/5/e//hX/8x38EfSCZJBun7aFZLila6ytLq11bJ1KNUiWVbovJRSaW955hsLx79w5tRaxSaxWuZa2EUuiHwwsNoxZKQ71STqxxJYaFFFbSsrZ3rAi5YFxPCppWdsm7r7otaIaW7YZSPZfpzDwvXC8zvde4XSncsQkqtpZW5wbQhq636Bx4/PAH/n/m3uTHkixL7/udO9nwBnePIWvIUvdCJCiwSQoaAEHUSlpJhBZaSfpPJYBSixQJCBC7BbAJNlvqru7KqqzKrMyI8HD3954Nd9LiXHvuWRXZqA2BMiAQGcgId39m1+495zvfMPYeYxO1FrIFK3BaVDmvwzYdEb6PF/quIwXl1V6kcjKJZZlYy8yydmArUgxLnbG2qpAtW0iG9cPj9b6ZKw1ER3waBmLUb7g0G8Q2/hegGrWrub4VItdCdvvzhsh+6lJeqiGT8bZQUyGlGQf40DE1VKHkVUNTmqhtu/eFdqCJIEVa5HYlGH3TLEoboQo4PTVqTWrrtkZGu1NbqlYwiDHkmHECDtksp6n+ecQutSJOGddb7b8Vr6BCv09/Vm2+tFupJFaseN2kpZBKJddMyFk9T40eoBuqvI1LQwjM80zJSqP6t//mL/hv/snK289fkWshWI8PXlMLxWGNMC8XPny8V3SoV5THzWqf9OquMk0T5/OZy8MDP//ZF7z90Q85HA4qYVw1qEOat/i6rqScqJdLS/KK171vbROacRzVrQPIpu1rJYGz9GGnFoe2XEe/rkXSq6erNr8qcpLr/QwhqPNm9Ezn3GgYHZlK7y1rW28Pj0/0457QO+J8wbbCOa/P0buvX79ulpOTRt1Ps6LbKRJfpvGtiZKrTm+WqMLcLcLbaMFRm2Xg8WZP7wMf3r8j50wfNqqFaVOjinWVZS2UnK7IUimVNc+Ir6RZG6XD7YF5vuAxeOc0sjordWxtwqJXr14B8PbtW/r9jtPpdG3ojTX0VovCy+VCtso/T+vzvlOB0+V8pZ6EvuMy6zrY7XZYr3oba/UZrFGdGNIcGYeOux/9CHdzYHGQRZgvM7ks3I47dvsD78uppUNO5LgiufDufiH4Dmu00J7WyOX0QOg9T/PEmzAwvb/nz/6/P+N0OuHzQpAOPLy62zHuhWDg9aGjE8HZyPky03nPbhhxwXM+nwmjonHGOc7ThFiDS7HZvQ36rlsVcyGWIjqFGoaRgk4nqwgx6xQgVZ0E5QYcGbEY4zUJdKMNGasFqO8wzpGT0sNiqUhR/UeMK6upxLVwPq84lFteUuKSVpyxLHbBdwNFHNUETLA60bWOUDT1N5iOUuCbX/yM8/033IQeYxOxzipkq1VF+2hx2vXN+9qp9WXOWelkxmFtaWtjpiYNUdrv99RaFWSrlZubG5zVBMndfofzwpyak1bKSCraFPqgrk9iCINGoM+XlcPRX9M/a810XcBGnUyGvkPwrWHUdWm9ow8DVMNUhHNc4OmJv/P3/z7n85nT6SN9P3Bzc8MaZ0SaB7izGBOeRbXdQFl1smdNzxB6jp/9ATdux+OHbwneY2yHDx2uW/nJ2x/zJ//ij/nss8/4cP/E8c1bbn78OV9/+QtKtvz1n/8V6w8/I9YenKcsKq43y6eLZO8diEaEp5SIs97fbLjS0TbhZCeW0PWs88J5nRn3+09+zU9dvxdFcqVe0RfTfmWvXZiIDky/N0QAcOKUZ7t1tS4gadKvZA21FHKpTC1solaY0xmXFur5SLYR8dDtHB8/TgQ7ktPEulRMCE0A5+iNY4mrWvqkheANg3uLemcuVJfJ3uEERQ/TSmcqu66nM4WyzlTTk62hWMFZICWGscN0vaKIJeNNoJiMiMWKilPyWkkFjHisDLguaNytOMr8a4bd53x4uOd4I8SayUXpIx/uF0p9RcxKL7GmEGwzbk+KHjrnMaEVcEYPnGoqqSrnR8fAA50JKhrsOrxNGAc3N5oydV4NMWflUsUJJHNwI8Zkgldf2WWeyCmRs3o6Oj9Qisf6kV4MD4uB0PxjU6FKodSItYVY1eGg5EipCSOJss4cgWEt5FCZYsKFAcFRskBtSXZeU+RqPpHFwHhkuXyLkCh1oc+elDKuNNS1KG/b+R0HEciOVAvGROplpT5aLgYuwQOCiZXsC6w9lQUxBYOlVkNFuXo5VzrnWwGq9lkAGsqhfKCS0VS7rIK4LAYrW7GvcbVitVlS/r7Vjlg+3RXXqmIp4zTGfNcpCm+KEEsiSMUU4Ww9pmqQRC0Fh47pk3HauFaUtiDqexyLHsLrGukDiCm4rXs37XBsmJDvmg1WVpcPZx0NR6caS80Vqie3TU1ECLSxWW40KrSo60MH5tOjt1UilEJnbeP893rwugSl0ssOZNd+/ojrBtbmFx2KjnipENekxXtWfu+cMqfzhcu00JmoVKjSnFC8Q5zFrrOOcp1v90roxx2UqqlVJXE5F/avet6/+xXGFt68+geKSHVabD08POhG31DigFCbp/jV47iJk0rWhqakrD7cIqiX/ELKhVCDUtjWQralBZ7oe+WCJVNZo9rpWRN1fa4ZbxwlFpZkuN3fQez58v2X3O4Gxl3H08MDVlQYV4xgGpr1+OGCrWCrFpyn+nR1PKii4/LN/9g07jfSHAIMymV1ahm5rDPT45kf7Y44EU6nkzYUxTJdmofxELDWcDo9YY2n70eWJSIcsKxIioRqueSFTCG3Yt86deewVG6PB6bTpFQNY8EHwm7HPJ0opTLHRT11jWGeLiyzulEEP2i4TFkRp0CLTQ6TDZf1CURIaUGsJexVVFYnoSLcHI7qG10LZoGuG/ANoHBiOKXAlFdMXjl0Huf3ZH8ge0cePLkaHtbMJaqWgKoTIREhkdi5sTUW6gPtnMXmDp/A1spy+cBlvufx4z3T+YnbzrGrE4fBEMrEIIL3GoQkTljzyuFmzzjuQFqB1fV0do+xhkRRdNEJoXOkqLSLYjxTFsqScU4UuBBYUcu+c4yagBsGEomKww0DTx/OzSGmJ6dK8E6tXCvEVSlpPoytgVd6g3L6IecZ348axIVAt1cAxKk7w7xcqGnC+47YPN5Dd0MRh0uKLHfDDrEeQsfQDfg083R5ojITssFXS2qTF7FO7UzFMVjPw/mRsN9RfSASMUYj6q3voGSKzVo0C0q1whCc2tEupVGdnPA0PzEMA6PTAJPt3sUYqSlfg0VA6U5zXLmsC/0QdP/rlFMcU6TD0Fch18TJqL85WB6fVsYfvtLm5qLc4XieKNMTh044JaU7ihH2+x2lJWr2nSPliEmJToR+5wnxyP37d3RZuHn9BtsfmXJid/ealDLjMOJ9x7AqFW188xOG45F4+YLx5oa744943GdKNHz763/N7HdM50o/eD6en+i9x5lPAyMGBV1qc/8w3tCHnmWJxDXR9T3nWbnW7DqqK+A93kIYPi0A/2R9+Tv/zX+PVxE4ey0ErNFhS1c9pSbyOpMpmO8hb8NzkMDLPyu3U2kELd0XWwuIV/N+2+FrWwxNsCIiPD5+yzSdefxoCf1MGHcYpzZraZ55fHzk8aQcs8PhwK4LPD6ecM4wDAOpGOaiXqfjMFBL4eF8ovdwPPTKO61N4OM9oY1L13VV4aCHtKzN6UPUgLwdisY3C7qcyS3dKZUIknj/5V/z8WTh9IQcjqxp4S/+/N/xy59/g5EbnO00GMUYtbIzBidKXn9pmK6CI3sdP27okNgOJ5Z90GKi1kAYny2mrn8f22zw5OrdeFomfTBZO72HhwdyVL7g5TJzWS8UM4K1avdWs1JHaCOh+sJXOD9TcKyTa1Jgny22cVk3e75hGK4ddhEYQmAY95TDDU/nd3TOYelYlqkhRIrQ5zgR10xdVyQtUDO2FBDISUixkIxjKdrlOwp1rsSyYtGiV6iUmkhrvo6y8S1hTraERy1c5nnWEVeLNq2lgt0mK7+9QWjh5FRZZ/XrfepSJN6RomGKCRs81EAyhiiqxo6lkozVpskZaoZUUSeKJj3J7W2qom4nIShaUp26AOXWVIgUHek3nsuS1VqrChTXrOGW1L6mqsOpautnraUfhu9wlTde7SYMTSkh9tOfVdpI1wa1ZivBU5PSeawY5cVWjX/fUJzt6zpbSY3e47yj9xZrA103wMMT//Jf/DH7uz0//sPPr5QKtTFShfT2+/YzKyfQEON6/Qz7/Z4cZ87TzLtvvkX4f9kfD3z+h3+A79Xv8+npCXKh95okVo0hizC11EtrPN45uuCVM87a7C1p+k+dRoRB0Z41r23aoPtLzhnnO4ZxoB/0GZqScV3PUiZq1b3wsB95+pt7Srzw+u6WukzMj48cw6Beq2vUtDx03wxiWS8TUOh2Iw/37ymlsB93XNr43cnmAx+bUEn3jmEYMKgVp+88gx24u7vjfD5f7fTu7+853O5x3hBbQEg47JR61VLFRCrGFA67wMP7VT13q+W8ZMR7vBG6QcNxpnUixozvO3a7A6DNkfWevT/q8835KjINGPbdcKXiHPpRXY+sIS6R6XSGIuz6GwDmdYEKeS6UWHFDBZeR3hHG0Cw5O6qzOmmTQjWWvXe8evuG4XDD8OpH2OFAdJo+mCctjMqkYkA3uOt6e+mj7rwCHzEmpmkmGWE6P3G6/5b1/lvm05kcJ2pRm7Kbm4P6ttfEca8TwHm54L2jMwbrFV2txmK9ZzfsqFVY0kJuGgMynM4ZcRZnO1LWM2S4O17Ph5oyac2IFCqqSxm7HcnDZVp4/+GB/XirNnNtOtk3ykLezsAK67zFtLcALqOJam7YYZ3TYByUJherCjmpmZoMNUemdcGJpTrLu4+PdGHHfneHq5Xie6x3uN0B13X83X/4j/nhj/9D/u3/9cc8PH7g7f6AqTMlJYIxhFEFkuPxSLg7EGMkWMeu9qwULqcT6+VM7yzWG51SDj1YR6mCrQlnDW4cWJaF3U755o+Pjxgsw6je2DEr9WdJmWVdrwLuUiuvX78mrZFcIt455X23ILSYikqZnbAfdxgq07LgQuDSmj5MvU6svn33gf2uxzh7pVVs1IsQvJ7rJKVs5szpdOLNzVGbUt/z+vVrxFTCMGKqWrMddkdqLszxzLxO/J2/9x+xrjP/8Zs7Pv/8c37160f+4X/2n/DP/pf/k7HfsUtFPaQLeOPJa6LaT4vsVBhqrqDSlqRXjJ5TOSVsgcFprL1ZK6lGas7U70GnP3X9XhTJtTZUxJhrSaDac1W8Kz0zfu+/3wT0tXI9FNQGs7lYAFBwYnSuXiE0dXElqzivWrX8GQJGDCmvyCKIdRAjGEPOKzGvLYbRMvaBrvPE9wvrOlOrWqKpZU2mxzxzgI1j8xOssvnOborLqjq52gpLpMXzFh3RG0NMitL6hgbm0tCEkpSztMzUJbBOZ4bDnmWeOT2eVWSy75iLIk6mRT5jHF70cH/JaRW74pyhC92Ve6QuCRaK0i9iztpRo84GTjSoQ7nbOnbSe5/ZEuO0YHuOy9Vv1lTrpYBpNmOiEZnGumenk/YM1SQMqIbQOfq+xwZFPbYglq0w/44fZ9WoZQkB6wLeq3pcqFhXuFxSE8XpqN+5QEkLEZQDxkblEUALymyNivWUfX6N0d0ajlo2a7dW7DVVs1aTzzz7bXQFaDQ2yjveXCKoz9Gj26a1cSV/p3ertOlJEwaW0lIMRXnDiZa81wR21ehnkVobu5ftriM889NLaXzpNpkRHfvon1Uqp6l68iJmOWf8xsHe3nSjkbovUwg3D9KXCvDt9++jW4g07nRDkkTc9fvK5qLQ7t22Bq+cU5rbhVHf5JILgoo6RSq//MUX/Oyv/pK3P3iDqSqWrFWb2VrrizQ7rjy4usWXNycH7z3T+ZFdP+A6FcHlnBmPO3Y7/aXF7EyMiYTBisbEWgkUI6Q5qbK/fS61JHv2z76+KHB1TBCpUHxb1+6qIUgtqEPvknkWN8eE1Kxo8XwBX1ieHtgfOhXTicOKwRphal6qtXnbh0aBMC5Q8qpIVWsE4fkZbLoGMRra4URTTa21pBhRkar+fjjsGMdeC7einsfi1ClCUfpGw7HKSY5xUeceQW3GjKcY2/Qfys0WpzHkKa3ErJOabugJIdA5FSDPl0nfgVr1vGgiNPVL9oTdQMyJj5czS4p0zuNt229KpeQ29akQmiOGQ7BiuKwRb33TTOiNtxaG/Z7jZz+mP7zC3L5FwsilnVemghXTiszne7ntH5seQ9efeXYasY55mZhOH7ncf6DGVYORhkAfHM4IoXfU6ihkqtgWz+7b3qlrSUfnXpMAnYp9CxlrfBPca2NpnCMtSR1FNpca1VxqR41QjSNXw7wWSoV5SYjzGDtQceQ669Tqmm9QwFi2+ZTeNdX95KqOSsY6cCqyNsZAKcSCTjwqSDaUZaYiTOuKuIIVwWZYi0BzDQJPqhaS0O/27F8J+7sfYMWSy4oNICYTL2q3148Dfn9E+pH140fiknBV8KP6gsfpQkwLebogpdIPI5svdl6ygiktd2HbL7quY5lWTZl07vpujON4bbo3cOXQKTWJbQ8t25mp7iGpFmwWbKnQ9gCx5ipEdEYQK9S1cj5PGAvjOOq63KYczrQay0JV/rGIghvEhaHr6XptUqoIxrrmUuKwzpGa9SfGcdgPfPxY2N/scaEjjAN3r15zOl8IfkDW6brHeWOJKapO6hOXtVpv5VSvtYaIwLb+G23QW0fMVZvRrJSrtVE9f5fr96JINgW6uQK5WcgIs9eio+9UdBDXvyUhRVRRv0EqpWYdt/NcoG1FmqMiUjjuArvO0vVacOWcGrLRUr5i1GJ31oMzFTjFE1Jh3A84YzFV41iXdWJeJqwNiPXkqZATihQkASvsuz1KXVBv4g0p3g7VfujBGs2jp7CkmbQmislYFzCdx4ZAN+qYYIuhfHj/jjxXLkvE3v6Qy/LAlz9d+Juf/Zx3DxPVDMSGWm9+zcZ6xHn6tsheovBbMo+qyAVntJBOKVFTE1Y4HdfnRQid+oraJrBZy4Vh3JKL1GamZv1587qwLosK/XzgEAI5rNhcKEQl8FsI1oJxVJ7DM1TAoB6lYBjHG47HPXZQtXpKK8sy0YVRY7FbEVFKMz8vaqdmakGk2c08vqOr+tlyilxm5Qh2rqpiWIqOaDLEWW3SHlfLQ6wY3xNswDaxWjQeH5QspPdUE8GuhbCVNkqvV/4tPBdV3nlyLFAKli3emesGcS1M5ZmOgahTSuXTDeT2fax1SnBohVxOlXVN5KJOMnGJWHwrLg2l+TyTqgpgm0DI5taw1KSWeVU3p1rVXkiQTUGnVBOjntEYwbX0uNSoNrTD3FR1NEg5UdOzqb604nmjIGwF3rMY87tXLs0dxxmKefYs3lC237Qo21xBjDENRTIkqw1VXVeSZJ6ezngbiMuFf/lP/5h/9J//p1d+cIyRYdDkvZzW6/e4Tl7as/feYxq1wFvHuiykVPCdhrt8+83X3DvH559/zjiO3N0eddpyWa884u1XLHqYnk4R05xiqBos4K7NiVIglM+u0w9KJmct9EopTKfT1U6qJMhxxjuliFlT+PjhA6YkrIGaFrxUao58/PiRWoW7N28x1tM79Smd1kV5ptYQU+Jwe6sc6RoZuyMPD/fXA+waANJiy+d5bgI3LQbuDre61qtOAU7np8bn139nWpLnZcrc3Q6U5vhRJJEayizWUVbloRYXcN1AJZNFAyqc8Tjr8UMgRi26lpJY5oR41Yz4obvaLE5nnYQZY0glsSwJVo1YD12nzxghVY3a7Tv14jdepxZyrhhnMa4j5sS4G1jWR4ITglhsFwh9xxwOyOEtcTyAGSjFXEEGI0pRwW4g0HcFrLW9j3Kd6KBWX6czD199yen9N/g0IwI3e8fgR0zKLOtMvzu2xiGTTcX2gVx1vwpezyXb9awp83g64fqGzBmHVI0Yr04F450d8aFpgfIWilWp4ijo5zEEnU5NBes8JRx4dXsgzrDEgg07rCQuy/ayu2sj0PVbmEcTXItT9yFxVPGaqtpCOUqOWGkTLNcRrXo0T4/3zE+RN29fIX7k8TLTDT3edWAda4F5juBmxr7jj/6L/5q8TLz/+peUcsEsK7/865+S0so8HEjS0d/eUYplev/AwXWYwdG7EWs8aTqTEIKzPJ5P7J0j9COX6YQYMBms8UwXLdz6fmDoRh6fnjSspAsK/jgV6uacFW21hnmesWLwwSP1OeTEisF4S42rNqJrJCYV6IUQNLEVddmquarF7TpzmRPBF6wV9cKvGsRlRSeomzHC9j7EKXN88xMkjNT+SAg92Ttso4ZZ68k5YULHcdwReg/e8vazzzidH3nz9jPWXHg4z+B7CIajhzWvFDJJ/NVK8Dcv1fHo5ER9o2PT4TjlInu1bK2ilnIquFTh+G+8Pn/r9XtRJIN2hkYUPctUYk24alhLQTPNwvf+29+08yilXEVB258BaioUA5SMsxnnoFaND97kqluylzSHiIradKWWRuWMUhFsS9NR39aXB4DDuYxEp+byFcqaqak2T9iN2lCvKMDVDaF9DVOqui8YQzEO5ztMC8x4WdCKCFIawh0zoeuRLvDVz7/hV1+/w5ieagMRIZSG1FqPGOVzickKv2/hF9JcJUphXVVlrpHH+neNU/9fHwwxz5RVwDcjfCOU/IyKbpf6ZT4XLBuVQ1Ebz853dNYQa8XpDn8VIMiGzF5V5c9K7t2gFjqFqiMrKxB/w0lhu5/GIFY9NmtuyYu+cbskXf0Tne+g6sEhKMdUjIFoySWyFhUmrlVQcKPRO2p59ny9uqbwnWIYuH4ut41/NtS5inIbcdf7jxRMraqcl2c3gpeOEdfv932OD61BoL1VoF6jOotSJAUxzOuKbxHVIGQRUkMjqNIQLME15xkrWsSuuXnHFuVxazqZva5xW2heqILRf0oUPetLe95b/PZ3HCzaRrzdS9uszHJM31n/311oirhVI6TWMG/3X5H8DeF9jgFf2+iSjPIpU6PxiKc2ygwYhq6jZrj/8AFq5e7ujgSkqLZ3G2r88rlvesuXn2t7fpso7enpCdsJSVYuTye1sEQRlM63/a60JvbFaD1YTYyKa6QWmrJ+e8a1cZef/bbTulB9aMIddSv2rdiXVJpwcSK1JMH90DM7tcI6n2dcKUxLaqNrIZaMTQLNzrHrmo0aqrpf5xWKAh7zOrVpHVcBoYhgrJDJ6nIgogJP9/z8N4/n7TnZMWARckpUsXSdOgKpk4mmO6aizV6KmZjUcUKLPwe1Hfq5UJKmnZnO4huntzRkfUkr1domlkbdQcahCZR54baxsmalMIXgqbmw5oC1HSIeqYLvNMJ6zjPZWlynyYQ3b95wuZxwagJNMULuPL7bU1xPEd0fSit4pO2LpdarC9JWrHxn2iKQGke3VEXI1+nC5fGBMk/40aLCdhUa5FZEgp6hfdB7vq5r8z93iPMatDMvzEvE2YDYcH3PVVdpKE5IMeEkXifDvqoPdBGdqK5FBbQhKFCDWEwTGk6XBSOD7oVJSJKxxV7XwrYejHmevqmjh+7BMWoy7fOUUsOYxDUnHuuoxpJKpVrPvKo9nBHPuiqHPqUVK0JnepIUYpyItsd1HcYZ9j/8CZIXmGfeLkrRMoPD1MJ4d0P1A090HFzPVC7kAgn7fIZbSzdwFaYWFO21TUCs50BmmhbGobvapW7vRIxRpydtTfS9AlS1NYfu5VrIWZ1iykb1U+qJMZqaarxrlaJyrJ1zaACTWrt5X3VCLImclQrrXMAaw7o8I9/dsKdaTxGPdR0mdLg2Xa5VKEmBFWutij2NoetHLdBDT98d+PLrX3OeZj48PnHB8GY/YNbEkhJ4mOZPA6Qb4HGlkNqWJpqeU0XXkqnFUHNCSmZJOv3YkmZ/l+v3okiuAmvYjMcV5jc4chXI2h17//1F8oawbUVDjBHpBvUXhFZka/SuTrwtKYs+VOlIEbo9xLgSuvYy9uofmrdiVgo33R1O1EmhlsSSMueHjzhjGcYdj6cMsnIjDuk6DnamJqFMwulpZjwKvnrE+oZkVaopxKzRtU60ozwvkX4wiAMnFd8VDjv1YY1Fww5i0gACh6YLZUC6nmg9/+bf/Zz7hxO74w+wpiPnih8cThyCCoFqjeRVNyHrfEMFKxmlh1x9L13biJNO06VkettjLiuhM+TidNSB4JyhtyMpqjehNFP+aoXeCuUpYyoM+4Nyv4zBDw56T1qVGuBl48AqZSFLxZaTUj3Ql6FkoR/3HG6O7HYDXadIaXzUUJINKbwavLuBag3FZuU6lUCujmleqLYqWp4DmBUpgpjuiph37g2L+0A43eBKxNh7cnjLSmRNT+RyRKTDLAveVozvKA1xyrmlujVVcTJtQ0pRy1qn9lAbz7IaKFV5e1Y0farOsaHBzTw+JeWrqkccyuz5Hr6+Map0RxACKa304wGxFqwjLheqEQ67HUuc2cbuIoow5LY9uKpx2qVuDgZtNAiwJgywmhbqUNZrkTu4HbekSJEAACAASURBVNb17d1UVDlkyMGx5IQvcCmF0fhW0EMqhXm9sIWmYAy5FGwpuOCZv4d2tbZcXIdRW79cGm2pcRqdjtn3Tq2mckp455imCXyAXPGok0tCkFwx4lhjVHFcXvnTf/5/81/+V/+Y3Xjg48MDx8OB0+mRXUtp8yIah7uurFdU7xmJH49HLl//msvlwjCOuKHj61//Qgvvmz3BG6QLDMcd3dPKpekObFH6hu5fmbml86kNYdTY2pJ1zYrSuXIuagVWMtUaTMqQVNjqJMDS+LV7pQ24ZkP1+PGMzZlUHWvxVOuwRO4fv+DN8ZZgHb5q4b2u2mwMw6CIa6MidINhXReczVAT/WAxndMo8qoesyUXlli4ffOanCLL+REsvPvmW0WWrdOpQWvW1njSoqhzUKMWP8HiqgXxiATiYuGS+fZ0obqe4fbIkpS2YUULfOsMw0G51fNjIhYNcgh7q89r1oN8Sco974KFYugPB0SEadKo8f3NUcGBmljmAtaz7y3W9bjDGyT07N++wvUd96dFPYaNIa6Z/c2RofNcmiXgluqaRe0lrQu6hyRws55BGQ1hSaIWhhvHfknrtZAajaf3hvPTic57nh4+8tXP/5I4fcTWGUNHMTCKo7ceOXj1wc0zxgrTlFjPC53vYeiw3lOqYZ4S86quI1U8ablw2N+AEZYcdV8uWuxeFtS2zQ6INeQKS7FkcdR+B2Jxo06VHNpLppzx1V6j6ofOgxi89YSuiS69I5XMMs2IWK1cRG3otODUEKdlmXDNvcWHlvxaKh/ff1TbtBoZD0f6cuTXH06clsqw2/P+8YLbHZG6QrNDY4lkDBGdCNy+fkNOSrGyN3dKZRx6pstKpNC/Nrz6iYqyrRe++flf8+sv/1f6srIfdO/ubQe5kNLEOOzxXeB0mfUZpkxqnsulLtzc3GCtZVlWrGkaDslYhyLHIsyrNkN5Xamdx3aBJa8Ihpwyve+aZiiw3+345v07+rHDB0cS4fw04a0jk3EtvluqZTqvHPc9RoR4nvDeUoYB5wZKnDmvZ3b2D9jte5J/w2p6wm5HWTUbYAtdWdoedvvmFmMc87oyDnvmOeL9yLokPt6f+Go+8eXje2K1THKDcZ6ytvTf8unzbZ5XhtDRe8+UI94Y3NCzfHjCWxXjF2NYqTrZQjUnuUSc/d1L39+LIhkBWzd6RONfltJSejbE9HvmrO36jicgOg41dTukLE6Uv5RrMwlu4QXbgf4SBTLG4KxryO9zJ1/F6hiDjUPcvqcYtuz33MjjVRrCnXOjeHwXydLuZ0vPsa0TUlGeFtAt1rohjZtVlfHu2giklDhdZnIuONsTl5XH6cxlmXEu0I+DWvCkiPfqe4jRw9tYg63ahZff4LcVQbk7Rqi5dWwFLbadKLHfavFi2HifDRV9cQ+Vs/DiMW9oWuv+NoRg8zktpZBfPnORNi5+fsYb6nt7e8vxuKfvLSFYfLPeietzGtKGXGu3LNf1oJweHcFIVXV/NUmL0pSb1Z4lFvWDjSVSmkI+5kSMC6n2JElaeAtX/uJv/WJbk4r+FLQINc2yrBauUwuqUoyk6r2LzTrvJSf5JY95awxfotW//W5t67o+o7ZXhFvvu4pJny3X9N4r548XNA+xFi/CViR/93s/I1vPaLCKFxUvVmqGcpGloc8q6MkNAcj6pK7PqDZuNmVLh6x8Z0G9uKxRU30d834Xbd5COjYh6ksfTXXRaA4isnmFV6im3S97DQn50z/9U6rAf//5/8A4jsyzRkdvyPTGh39J73p5xSZQdKKcwGqE169ecTmd+fDtO8iFmx98pp6eDUEDqDFfR47bz32lSZXN09RcNZ65Pr9r23u1PS8AYwtW6aE6nhYNtDBV36O4KmLdOc8clbu43+8JobsmKYpYLlMTXLb0qqenJx4fH3l9+xprHXFdySkqn9VI40u+mIBUpVv0nepD1nVVyyrRaPOMTtcQUZ9kawm9v+4dxjicseQ1N95wz3Q5aSPdGiwV7j7fs1yrWnyKwexG7JJV5Nc0BbkhYBajAq+kRfoWzOKvvO6ko1trceMeIx15GPBdT3f8jOo66jiSveNgRg1eKZUiE5cpUmtHzh0Zj7G9IlslU1HtgKrNDbEkPYfay+nEkKXqPtX+XItO8+Y1chgGao5cphNxvhCsYZpnJEdq70Ceg3xSTJSSVNeBZbos5JjpQuP32kDEMMWFdZsYpUR1nhWHVGkUD1HthBGkCf0yjnWzGnSB4ALVO9jifV6sYyhKvXLqm4wUnBH6XoW8fRc4Lype7bruelZtabwpJaaWWOm8w3nfqHZqDzavkcvlQjf0rehcFCk36rvdV3VveHp6Ync46L1ZI7Y877Xb+y2iYuZNqH6lVBkQY0jGKChhdT0G3yNZKZ7WWrzVQnHbay6XC9fpcns/9bO56zv/rFl51j5s73LXgjTWnFmmzG63Y7/bkcyilnNpBbJOJJNSxNa4IFauyK6INCCl7SlO3/E5roQqeIe6pUgC0c8gzYrWekdpoFStLfO00d22fUdpXRmaVgkjmg/hPeePp6bPaDahKFJujJ7ROSsw+KmrCpqCmuLVAzqtiwpuja6xTjziLI2cc91Pfncc+fekSDZAL0Ktpo0uy9U3tFCptbCW7zd/ruV54y1F08GMc9TURHE5sYpQUQTPGNFi0QrWaEBBiRrS4a1Xn0b7fGOtAW8ETK8Cp5zAqtBvOlvmaSXGypIzuQhdCGAzElVk0ovFtzv9krdobWidltIgQBdU6Dwpq8jAGEcthqeLqr2HccRuY8RiEedIGMbdaz5+mPiLv/op1nnCMKjHMZXbwy3WbcrifBVi5fQcboE1WGMoJSl6I1BTbeM0AEvMhSiGWDJ+2LPURYVtteKNVU61eXYSKDFRUr6GX5RgwXiCb8VxK/y3DWhZF4oNiry5jYsLUm1LA0O541awtn5HxNX3I7UKH++frkVNSkkdDFxuBbJT7nrX0ZlbDm9+wvx0T3CBsk5czh+QhnBYLLiO9bKwiiVZS3GFuSTmlCmmkRyscoedFWrWQydX00bfKpQrBSoqkjACwTtNPqpFNyYRrEAuSakNRt+FrehSezT1dNaDoU1bjEHEYL5ndNR5IcaLjt9FoGbEQeg8VYpuJhjWNWFUk9GKqxYLK89N3ZUX1pD+rQEQ89tBP88j4lVFiDSOmzGMdhNSZUI1FBQdSzVfD4HS3ktaeY3oOm6U209e3rSEqlz0HXWWkguuFZuxaqrb5XL5DqVDRK5NG02AWXNGMM+86fYZT+cL//z/+Gf83X/w9/ijf/RHPLz/QIwLP/jhZ6o+jytTXNntdtfGTotuLepiXhjHgakUnp6eWJeZwy7gqPzqZz/jfH/POI6s5zO23+OaBVkKYJqP6stLD/na9BQapMB1TRpMS0Rb5wkjFiFRzUSpDifqdnFpiLPLhTpfiE+PPD4+0i8RK5VaMpAI3Z7zRVMCuyi4oeP169fEGPn666+x1nJ3dwfA5WkFAnG9kJOwG/bkeL7e062BMsbw9PRELSOvbm54evxI2GtwhYoiuTYB2965Favbuty0iuoOY7D9geHYs2bDpYDpAlXaeWACVQz9UV0UZttzQP2wc7yof7dRCkqZJubTE5eHJ/b7VgBUtfczxhLu7tTdoesJN2+oJsDhDu8Gwv4VRQwLhSSFtD4xT0rnkqHTkXU0NDMedTCi4iWTt7j5FtQ0xfk6rnatoCEXpqyI4zCoJZ33nstU+dVXX9PlidP9Nzz8+ldQIz2Fw37XeKUQdoMGR1wuLFnIUTC5Mp9F3ZlsYRwC1nrWAna85Xg4IFhO04VknE7PqlIkrTEYGygYqnVUKxRjqc36s+97uk5jrlNKlLmJHxtnuxgVk/V9D6USkxae0iZwxnnKZUKweN9dHWRq5RrQM00LKSXGceTp6YnL5YIR9bu2RjMQTqcL1ip9582bz/C+Y5rU2SjGyFdffcXbFuk8jiNPDw9M04QPTpHUoqJ0RBh26lOcU0ScqM6onVm0c+14+4a7z37C/de/4Dw9cNgN2CrcjDc8PD62JNRKaZablHLlwZcsnE8zPljdT4AS1apSgY0GBEmmpsR+GEkp8vjhHucMr3/4BmMMD+/fIdWz5kQ6Tez3e87nMzln9vs9Q9erF3MDlUppE2pvW2Io/PCzV4ipeJ/J65mud2ANQ9dj+oC3gd3+SGLG+FYXtYnLBoLZCqXZTq4xYruOOa188cUv+OKLn3M+n+m6ARt2lGb96fpAStJSjn/7qtawZHWystaS0GZnrRFbDN5oU7sh7SKCExXGy9/mKfwb1+9FkQx6/ols6FTrkLfOqhVi33dtVj25Me6KQBBDtBqFm7MiDbVmjNdDb9tkr9y9DWUxBiMGEeWl0UammlhjdYTZOh3vPdF4jWdcKzFpeAY5YdFxqLNqaafqy42X65+5skWuRSKgRumtKClScda3BD51vliWBdM6QIxwWVb88Ir+cEe6P3NZM7YPONtdeZkhBHJRK6YqllK1iLS1NQK1PguicrkinkbMM3Wn6ku0xJXLNGHcK9I2TmZzBzD6s7IJSXT0dnWwaKNn07rt77zsDQ1LpVmoNVqniI6+r4UXXHnN3ivH1jkVPHpX8H7WF6yh1M8hNA2NFQu2UkvAuoEqZ6qN4BPVVKQabaxSxvUd1u8wrBQ3kLNQxasvbfvZ9NBvN09euFIIiHkWRdasTZGK+SrWQKk6cWhYN8oYVCeAjeuZ87PQbysStk59+5y/WaRul/NCLQZpdI2atWC03lwRBMS0tMZyRVDBXJP+NtQOntGLaX0u1l4imy9FoKUU5Wpu96P17iVlin3++/p5LKUJzWp78KUUbVTa91BuMy1k+revxtJCQegtN43v/Ny/+d9XRGpLVGt1uPI9zfV+b/fBN177F198wfHuyHG3xwpcTucrQl+o7Nr+sv2k2zPzwepoXoqGAS0zT6cHPWyMfp31PBGGXidnL9bPy8nBhuwrnzqwrPN1MiBSmwWforDb89neM1JLZxOdXKnDhyAlfgfdS8vapg8FcQbvBqqFSsJ6TZI7nZQCsVngxRiv30/RMI+gfO+SNbFSI4fRJsxVSiycz2fe3h0V5WoFEFYP1tT2jm1/eMnrrkXT2pxTuk6OScf60nyks/L7U6lIzojTYs50O6Qfsb7HS0DcTLk0brkVkIKsFWwCWam+If+lXFGzYh3FG9x4S3f7FvGBXEasdeo/bwzBCKVaFTVVLYakuR1VWa/9XiKRa0GKU/HlNjltYsfrFtzOrJoLtRRFspFr8U7JxHVh/viOx3ffUJeZoQvYmyPBWZYlUq1lKYJJEPFEIC2VQsKaQNiNDHevGA5HxDgcgu8C1Vh1M/C7BjJpAh61TZ1M11LgmijXB8IwUrN6cxvjqDlSq7rKbHzbl3x9a4UiGsyEWCpaLJ8vSrGwVgEpXc8qzF4W3Yus18nvvC6cz2cN7Rh6Hj4+qUgtV3zomBcVgjrnmGe1SptXdZGI08T56cSpHzjs9k1Pk9tET8+dLUnUtP2iom432eqENeeMZAVojHV0uyO0GqGOVdN6qVcAR6zWG2pby7UBvOo6jG+OPBlJtpVBm1hNG+SSM13f0XlHnGa1v0uJrn3OTbgLilxb4yk5sc4Lfd+xpGdNkrWWVFHkR/SMTrXgKhhp8d+SEFuIaQF7wGxn+pbquU2SX+x9moVRWzOgk7s4Tdzf33M6naAauq5HXMecZp3S9b02pZ/c8dtE1gnr0iYifcBjOV8mne47nUhhnp2uXk7Mf9fr96NIruoGAKW5PkBuhtlFFLErL+yNfvMqV5Gdbk7WKDXAGDUjF1OUrJ4iDoOj0onQVRDN1cU0Ba3BIyidAFG/Pd3gntOUrDhy46ylWJWTlIVcO2JVayFPwucZqcohElPIjbqwHSTjOJKqJ8akaOOGhqeG0CHUqtY6tinTY8mYqAp2gGUtHF6/5uJH/uzLv+Sn796zu/kcYz1Df2jRtA6RHiOeTBt7io7XLdJsuzT+cpN5OR2Qk3JrIjbrs5yYlpk5Rfxocd5DK9aw5loOKZ/ZqXeREdaMcu9a81NTZokLj4+PbQzdNk1R7lZZ22jL2Wbt1Vwk8ooNluPNyG43Ym1LCjQW7zUtLefM8Xh8MaJuCBDqmV3EQe1xu1fsTSB+/JI1LiQqttnOFaVzcnv8D+jckbDbky8T8uGRwkhzDYSaSQlSOtMbS5KqgSWm6mHbmhIpgslaIOUUlf5hDVVsi4Wu2LbGK22qYB3elGuK0xZ5CpuoDf063/PCO1uxvrYGxxHJVBPwnaMbO2KcqcYw9AdIS7Pz0rFeKZDmSRufhpAY7zDWcjvsrg2bVqOVeLVhfH5P16UthuZXbkxlzhGKcohtFYqBARWJ0ZDxmDKZwtIEscFqwlY1Bm8//Vlt1cmIsVp4z1WRxZLVFrC0dUhbmy9jqItAEyvgcHgfmkVa8yJPGmBzPL7BThf+93/6v3F//57/+X/8n5gEPty/58PHe27fvMb3HR8eHwgYrLQYdlosb2s4gvPUlkT39Yd33B5vqCVyms989c1XHG9vuDEOO45qZVY1VWxriHKjUGiYQVvZrctNqVCLFrjBaGG5pQhWCsucqMUwjjuMNeSLIsnWGGwYGO5eEZeV+ZtIEaUiYAEzEjzYXkV3pQrjOOgB157709PTlZ9cSbpuaXSVXBQRNYbSomOdt5jqKDnx/v17bm8OxCWS1yYoM4bUNAa2jbW3vXO326mVYVbBUowRK47TqrZyqQn6aincvH5NrlD8AT8e2b3+EdYHJGv8bel6nOuh6ojeYSh+JoQ99vgGzBmmSRFCEXzX4Q9HjO2o/o7VDhQRDjd7TRBMFanNYkwK07I2nmlCqgItqTm51BeTmTktz2K9mqFmbPUtCVPFtLGNn32BHCMP9/eKOJ/PzKcL6+mBr372U/J04UefvdL3zAbuLxfEBLp+zzxPeO+wYYcZLV03UGrl1Wc/IOwG1lxZz81O0wfSqhZrRQLHux3L5d0zBcAKuRhWY677vjeW0WlogzQv6LROiBic84xB9UWb37j3HosK50pNxCqklOn7wGVdOF/Oaj2Znylov2UVaQ3eKTLc70Z6YH448fj4noLgrGda3vGjH7+h6zqenp6uKXQxRo5H9XS2CD//6d+Q55U3n729FslKCVF3CfMC+HFtzypFfaDnedYEQLGsuTAe33L3w5nHnz+Qkk62zufztekbxpGns9pBblaU1mqEszq8qMAXKs6PTVSpiPq6rsznJ5yx3M8fsAL7fkBM5fz4wGqb600t9F2glsB8mehDIEcoS6aYqK4YpRCzinPHfoRSGPY7Slp4eHhQtysz0PmB09M7JBfG5YKxQgietKwQFOyZpukq0t0cJ4o3TMvCsQtIhZDhm3f3/Mmf/D88nmfmeaUbA3Fe9OcQi1kzbo3cfY9pg+SEaxN/5bhrHRmqMPhw9cSvtRLb/9tcYYL7fo3bb52jv/Pf/Pd4VYG1qH/dxv/aEplSylf09fuulxYhW7cd3BnKjtqSeYxRiydvIkOw9DYzOpCg/OKSNQ3M2UiVBceAGE/KibypoVtnYkRFZJdp4cPywFQFzIjFELyQVos1CYdGD0twrSCaNSmNAs7xWDOjOJzXg8R5r9Qz0XQeA4SuA1NY1gkbVHRXiooRBUd/uON+UhXq28NnfC0foDqs6Ykr4LUAjsUrr2yzxaMwSXOdKILZvAjdMw+11oppXPBzXajVYqqFHMiT5XZ/oFZRy5WSqFmUruGtFuGNFqAIU8ZjSNmzyEJ0K7JkYkws54VYBev3iFPkscQICKYUxBR8i4vtbYfECEvExEytER8cNa/shoHd0HO6XNRPWqyO9nkOJDEWRVXjgBssYX8g9Yb0znOMFSQx55mKwdz9ITL0hPBj0jTh14n+l2/ZxYnlYvAWkkQVPRphtS3uG1poQgK/A9Rjda7KA5esLgQ1JkQyYZsUSHPgaJzfXBIh9BhrFd2suvYyWZGTWsmVq1fsb14l60ZbKKzpBBRMzAxuzxguPKYHfdceZ0oXOC8Xck2MLhAQur0jU5mjhp0cak9XHX3nSc6wrAUT1Kv2KmgRHXM555AUiUnvSNkO0UE5f7txr5vWsiLLTEdjStDed6BUXYOZigSnkcb5ez5rKYhRpLNUYUwC3nKRyiotFiUVqnGUJDgJVANutFzixNF3+AJTmrhUKCliqgc8XQitETphJHHoPP/6X/0rckz8t//kv2MYDzzef6A+TZQ58bF84NXNEdf3ykPNKjy2xSN9D9JT7UcOdmX56oFfffMrfvDjHxFr4v3jI1NKVOt53Vk11E9KFWnsGLVPyxXWTK6R8+WJaoTxeKBYyzJHRZE9BBtwxmGvtJmVGjOX+b2GdfgBKYX94TXrPHF8tedSLedf/Dl2emI3dsiyYNykiJHTYBSxlm8e71UkWBPBefqgPO2StIH0nYp6d13H+hSxTpjWBShUW8kXRXs8lpQKj48npK7YWii5NGqcFkTdMOB9ILgOvLDkwn44YkqEOiFeeJgiftgxDrfULFzWGaQQDzdY64lpYKk9Xm7pzICxCSORkhJ9d0sIgctZx8T+xuDRcX45ved4q6K9XAvZOdLQI3iG7hVj6KCNeq21GKdNAEVRtHHc60h/nq7gSLaOp6en5zAQYIkLp9NJfXLjShHYuZVahcEMGONYTlpQ2b7nfDpdp2pfffUVZrmwzgt2uGG4ecMFTaQ7DLc4t7K7Uau3y8MJMwzc3r7CWsvt7SuNWXaWS4rEknCHUdNgO927WJKi19NMN95d/ca3z9z1N8zzTBcsY9dT6oqpOgFaGpd39M3tCb0/8xq1gVsjlPnavKondeH88P9T9ya9kmXXvd9vt6eJiNtkV1lVJEvSowjCkqHnZ8Ow4YEBAx7463hofxlPDY898MAQbMN40OgZT4ZEShRZrDazMm8bzWl258Ha58RNKetBnlEHSGQxeZuIE/vsvdZ//ZuD8G2nsxjYWLdaQjbOczgciPOEVoaiRYxvrWWYJl5/8XP+7v/4S5RSvH75gk8/eY03MI3j2jw2TYP3Qp3QbQdojJv4zW9/z/X1S0AxR5ky9k7JNEQprG4xzjCPE5OeaKwXl4na9HkifddxowsXr54zv79AzSO3d9/gvefFixc8Pj5iVcbgUVlhW4dxjpQDJSv6bsd0GhhOcp+aVtE0jjHMXOwueHjziOo82ns6oxmOR6Yw0/ctatSopFAZctY01xekEimqAVWYaqMdhhObzYZWi51cDomchdqpUpLirOvIxnI63pK2LVf9BQ/3A1f/SrGPhe3znjRr4v5I3l3hcz0LjCEkqR/6rqB0YpoTMRZuhhO//s1X/O73P4CxuM2G7C2nccQrcK7SSnRmzPNH9/zGaFIMNMpgrCElTSmG3hra1uEaxxSCINixxVVhYkoJW/7FIckLOV1GXcslUP2ZzP5j14LOPoX4JRK1CiGUKL6pHF/n5OHQzsrYQtRnguLKDEk6kCfEc63PQpiSz0KqEEJ1VPCAIVXhwfp9mbNgjLPJOylhs0QpLl+7CPdyTnj3JOij/n5SJpIqOimoUdd1TMpjql/n02sZdSyvdb1q0ZCV0CwWOosgGBVtq1+aqVw8LcPu5b0syGbOhpyXe8MHY+blHkrQQaqFt4yK4MwnW7o9SRU7j/nXMZzwOQQBz+LvuwgXXUUOPxBW1JHxB7xTdRY8LOiD+PGC9w1tvyGdGlAeF2Va0PgG31wQrUMHEZcq1UKlgyw/b6HKyhiHJ6/f1Ghvic8QlxSYlteyfO719eknlB9gdVZZXvu6vpUSHn4Wi68fm7LEmFa6jNa6bvDyecQiPptGy0FmQ6bJiqSgRTaGKdWkPcllJyUJHxGP5WUaoQRRj6yv8+n6c65y2WOUNMU4U8hY7ck5ksvMZKSdEuW+/I5SCo0WKzYq0q6LCE4/di0TH1XXblFAycxZ3qtTZ42DQVGevFRjDKoUlJJR+phmlDGoIjSMlKtt4D96b+/fv+fXf/sr/s1/9p/SWMPx8ZE8T+yuxYnmLESTAkqj1nW3/F7vPeM0CQJVlqCSIhy9ToQ/RZ+/flm7699JxtepIjipZLkZlV8YcqCxghamFDgcAjFO+KlSaLzGesMwnUhhYtttubi44LTbCY+7poeautaFEpVxxmDr+yhRnGyKKhUBBucttnGEJAgz00TTdfU9ILzHLPZ7OSdM/fzXSc4TofZ5HF+bL6cx3rN4dMtnLimUc4oMZSYrz2Z3jTag7QbrPcW2pGwrsj3QbZuVh7l4qq90k7qXADjfo6yhGC/WhdYyuyJPiVbyLFSk8Sn1aKHQ5cy6XyolVl4hpnWasYiRjTqLu1Wd9EmYkyCKpYT1e/b7/UpDeXh44Hg80uYsFAnXoJUh5kC/FdpA13V1cpl58eKZRH1rK38rQ9Ps2A8jTdMQBwGdNn1PDDPOGLGe48MgG2ClTYQosfBaO6EWhkiyYhMZ8zkAw2izcoCfCtCb2vQ/FXWKqO1DoedTEfOSIqm1xmgjQNYTm9GUErvdjuPxiPeeb775hp/85BX9drMsLHn9VlSsqk7mmm5DRnN/f89221PmgrGNhHdsxF4xlyypjDl84CZWaoBF4SzqI4947zEG9F4K+AxY78V+s2nXAIzz+0uEMJFywBhxjjoehdaVa0O2FPqLdWzTNORhWtH2esAA8rypRaughc4aS53C1J+17G/zLDSUp1M7AWQycwwUD75tmJJoaJbkO+c9c60VFiH/+llNGQmTkWfh/n7P+/fv+fb7N/h+Iz8jyJT7TCl8Sov9p5dWSqiCulQfdUWu1JVlba00s7qHL89a/pdGt1iKBa0lajElETAsnLnljf3YtdyID3iruiU9UfoopQhTEivdrqXtdmLO3ZTq3GCqUM6IYbs68xq11tVuSX7ONI0SsxmjALO1WyraiPgqK7TOdZOTmqnpCQAAIABJREFULVylKmpQRiymMuQgVlHLolg30hoVCSJ00Fa4t8KpqQeCcRibwBca39Nf7the7nGe9WcupPmUYuWOKSCv3M2kINYiZNmA3NIpL9yoSjWRAk3XUZJ8zTzPxGjWwrCU6t+5/PyUxdQ7SbZbzmfek9LpA05xiJkQJFveaI33zfpZKi1jylI0MSRSmNZC3fyjhmXhin/IdTsn9qwb7rJekkK7DZurwvtpQpMxMeCU5WJ7jW42hKLRjcY6QzKGSRe0k6y9ZVOz2giloH7mukgxkKooAiVIYATSBw4IrEVymxNqdeSQJ8PqjDUajCJQCGEWEZJCONAiC/vocxGngvGA1lgrUwilDRdX10zzyP3tD6ScJerUa1prRMRWZwALaOuMlUK1JqSVUe5j27bgROxpYn3N+VwgCL1ZDtdSn+GkRhEJItxZbRJBW7IS+7dcJIAmlcIGh9bnkV1jLdiPv1dlzapbKMBsFBjZNFUCb0U4JL4Fph6syKQnWRG2aYNTYHImO0VMYBA+XUJSMK21ZKD1Dd999TX/++0dv/zlf8SLF89QWjxI7x4e0FXrcHW5k+hlDTFB5zZo72Gzk2CE3NBset68eYNSildzBKU5HQ8SJNB1bLYXsgeZxdlhccZRzCP0pifGyMPxsPI0m6bBbntSgTDndfy53W6Z55nHhwOl7OGzHpTCmkjjCt99/1uK8bx4/Yq4a/nh+zeQAo0RIakuEptrvcMurjuhENIk8c/GgJW9IUwTfduSnWOcZkptir3VdL4jjELxUVmaoxw1zjwBRVSpxUUNlVGaGEXQpZxF6UDRBbKjKIcpltIH0uxIeoPavEI5i1E91nu88+SiSMoQU1ppEKYKyAriea6r3WgIgdM007pO9lInSWRFKRpdqqBWkHGtdfUozmszsWpLVncWEZIfj1HoH0vYUJF1n1Om9Z6QkgiqKJQUKUVQ7DDHOrlzDMO0Pmf7/V7Ot+zoNy1G1fs3T+yeXxFjZLPb4rtWwky2bd1/MtN05Pr6OdZa3r6/4TQMXFxfcRqH6svrwBqxjcxipbe8v+XMTSmRy4DzBm+hZBEZ398/MqdIt9uSM+z3RzrfMKWToHnWMg0SDz8MZ53Dkpz6WMVtXdd9AHQsv3sRBbZtK2FRWSZs8pk6VFb82Z/9Gb/+9a/5q7/6K64uLvn5n/4xn7z+jHEcGcNM2/eoVj7feYrEmPE72GYYTwM2BewkwmbrDcEHlvS/VddRqI28TJtLKQxTwExSgYzDWJNM4fXnPwXgcDjQb3bCs44LQCWNcKwOV5eXlxiluHn3nsPhwGbX1+I3r5SGlJKgpUbjzDlpNoVAVgrXdVgswyj7rvceVcRcwGhNHMfVKnUVxOZEjtB6cReZ65Q4GSAn5hhpNlsOJdCMM/M4oZWi0VIfiMf8ecIv96ihbczK7f6bv/kVv/71r3l3mugxdLsdISTUXJg1NZVYzi7XNh/d8wlFXGiMIeYkbASlxCVFaVIQQNNYg7eSkLu8nqb7eNT1x64/iCJZsYhoFkP88w229oy0/tj1FC1dEVMjLowSSiEFcOM8XmectTSto/EGbQMqmxq1KFYFRhtJm8pUXvDCAc2SrBRnSNUpIqUVaZP3YhAGjHCsyYVSx4+q2tw4JwbtKmVmFdFF43Qt7KxZualSXEpxUlJCO4dVWqgJxuHbhjJNWN+Kf6iqLgVaiSWHlkK/5IzBsiasLIqDfEZBRVG9yMY42w4ZXVHmLOKBWgQJap0+QKgXxL1U9Pv8b5pcFmREr52mc27lWRpjcEpQiOX7nv4BQbm90UxJxIhSDE/ra3i6kS7rYlkTy4a+NE1LNDhFkYum6Ba/eybOJeOMBlJWKBMhKZSNUjzpEdQE2pOFdlzHb/JzFhHfiliziMFYhX0mLabvdWOth2WpiP6Hl9x7XQvdXJE9lHTPWle3lh95LlIRaoc4axiMVWz6HYf+QRxSglhZBQtaWxSJKSdSTqBctWqrxWJG/Lgz8nOLFtP6J/caxWrdVqqQRytpdnOJLKEmy7RGay3FVi6I1luoTEktVm5qLdqN0vyYJvkpwlRKkZzfZU3Uw0xR45pVwSlBlXXKqJixNd51TAFvLEMW7q4IG0HrTEnnqGyrRd3treP9D+/o+x7X97RGGonj8UBIE3f394zjicvdBQBzGNFFECBCpOkKTdNwc3PDMAw8PDxwdXVF7y0pBsaRNZa2bbYfrOUFSYyVW7nphbM4j4F5nHjMkcY6msbhMOSEHBjeizXWONbDekPKkXFOnA57HvYHnqVbdPXg9bpFaxHzyph8wqRI63uW6VzOQNEi7gkTxi52gXA4HbEIllCSeJeSC0qVdc+QLxX7s+XfQa2oIPCBgHS1qySTWQR9MqnQvsPoDcVucG0LSbzpqelcWmusUqRSQQelWUKkUgyrWxJFeK6paEoRgVXKNerWVUBn8acueQ11WK6l2Hs6OVi4tKn8o+keEgmuraTFaS2C2+MwsTg2Ceoq3z+OI1OdQCz81myUOCVo2S9t2zKmIMJUrRjnhWMfORwOXFxccnd3x+vXn3E8HpmmiRiCABuh6m/6FqM0c5AACS1bT40urnSUXFNNgcPjvjY+iru7O5Q1NJu+crKlqD/WSOclTbPve0o634vFcQJYJ69Ls/R0EriE2EjypELnJPakSuG1xuAo3vLFF1/w9Ze/4y/+4i/YXV7Iz9CKruvwTUMxHmcdFItSASr4cXNzwxwnXn/6su7lAjKpun7ltSSZyualXpG9LWdLmGbSHJimiZATYRywu1Ymz74hori7f6CpGo+ucTTWEuLEMB7ZXWzw1uOcwdpOUP4YodYji23istZSCDTIObFMMVIFbXIWYXaMsYbkgFeGKcR1Ap2qrWDIS2PXrPumlgMFZyw5RqKOOK1RKVfRoSKHjHGGOI1YbdbJjHC2oZQIKmGN4/HhyOPjEde0FOOw1pOJuCjc6Jjl3CslY9zHUd+Fnw0QUiGkVB3JyspHpgY+oVR95qXOWZ1I/hnXH0SRXFhU3AVtzv6lC2QOy8j349ey+Tz15ZunQmSSaGFjBXnNE74Tbo+yiWxrAWWEu5eKRhsRJ1Gqkb8Wfm0IM5lQ3ScCzhicM5AV3jqyUswhoZ2lsxanCw6LLQ6V55rWaylaNmytwZVCstWpwft1BGXrBgLi+6i0JseETFAEmfPtBpRDnfbsri9xrWGcT7SdofiOphWhHkhAhSSeCT+51IQ9V3QtjNUa+xoQxDOnqpxWgg7rxfWAM4rw1L5tKVA1uiIsZUWdnXMyksxpHdkJ9aBWmcjBaK1ebchYituK+MUkwkKFCIBWV4wnyKJ50kkvHskppXWj0FpVMZ0i6yKJegkiDdo5rrsdKUbC456SE1EX2tzgVBXZxZkwzOSQmEOQNCWReQqQoDIsCHbtQxpjEXsuUwVcaX1vKz+8CBWooEWRXx0IMJqcAtUaQ7w5ra42xYJAibr941OWrjFMiDdsjFnYTCisb7i8vqbfbBhOJ2yRuGdfC/KQo2x6RcZUepbxVLG1MAgnGe8fo4x3vRMLvCJxwtSx1uKlXWrEtK7dvQLGGvLQeBF+KqgOK1IQuyLJeSlLHKtWUnzmHxm9LT7qRXZjbATtFGhN0jIqDDFJ+pqSdWxyRueES5o0J6LOMrJVBlMyOtekQSVGTchZjFW1cMuKbdvxcPuA/rnB9xvG8cTu4grbNqQw83j7jru7O96/e8N2e8HlxTM637DddDS+Y0pS/H322WecTie+/+ZbxsOR1z97Tdv2THWc7H2DVuMZvWJ5Bsz67G1My67t2fU7sXc7HZhT5DSNGOURJx+JIJOmy3H77huc+hTvO/IcaYLjZa+Z3t0QxpE4ZxoFsxHRXMyJdtMLiOG8THN6h44SI51TxrUNaRoZpomYE77vSEPAKU2YxRZynCOocG5iEOR1ngPWGnwjDacgT2ev+HmexdUCaS6KAeMN1jg2neHF9jmHcslQNgymZ46WptVVYCYYlyqFlArFyvuRcazsibYmcY415cs1HrKIJWUkLWfVHKviwmRinklREiaXz2YpYBcdxHItBWpBf+DwUEqBBKEWhIfHx+qosRTbUiweDmcKQimFvt+ue91pOpFskgj4KPzVTMI5y2kSQXPTNBzeDWw2G+5uj1xeXvPuh1u+/fZb5jliG89hv6fre7m/wyzWl8OJEEJ9zZaHB+FTT9NUn3uhK5xOI6SC1Y5u6/Fty9u376SYC4kUArvLyxUF9r7h7uZEyUL1UEpxf3+P1pqrq6u1GRJ6iF4/l81m8wH9yGiLdpY5CpWj6TrCKGlz19fX/PHPfsrl7oKHwwMP+z1t29P2HcY7KOL7XeKINg3eC3JpP1cc9g/r8/Xw8IDzGmf66oBT97tQiMhzahuLdwbfthz3B3GWChHfNsQ04rqe7dX1ipK/2GwJSdymVPVR3/Ubii7c3LyjdZ4Uo4Si1OZIO0sIYf2MYgikaRTRZ7V17dqWOSeGOK+i+hAFMQ4p0i3NhLFrc1dqUSu0isjpJGtUGaFn5CJUx0whzIpd43mxuWA2hpDlvFoQ9mWSIv9tpK7TQqOapolf/c3vuX0XOB0jasxgHU3XcsoBm43s9TmyCCY/do05o1LGORFuDiUzxkCbFS0KZx05ZHLMq6PTcj7pH/mZH7v+IIpkyhkFfMrpXApf6YQ+zrt8ej0dx+Qi7gzCDZLvNRqa1tC2HmsFhcsUdCkVSV4YjRU5RizNSi0Wl9e5/C5jDF3T0raKkBvSNFOMxliD0Vl8JLXYvCkB5KQzLhlT3Q0SZ7R1oQxYZ0VQXtHWjFiGSdFqRGDoGkoxTDHQKSVocynncZMxZ/OUoqtJuzgd5NoF6yL/pLSSCEvO6EbKEmtptSFx5tguKM/CQ3rKI1veQy5ZOrqcq+L5fLBTf0ehrJu71lqigWNceY5P+YHyd32IyaKArg2F0x/+7OXnL+spVR60/PsKcAtKr6zwy4uM5cmanMRhQxuDspkSJSKWnCmzZZ4gTopU5P5khN+tcyHrtLpPLGtJF2lrVK2alVIEXXmXT7jrSilcftJAaNlwrF3ucSLGzDxPNKZbP6ennOV/8jxoUMpC5XFrJUjq0rgIMicFbUPCrpQbWRPRmnrPhC+ZasMknHa90kXE9uf8fK5oj9GYLJOYGOPqa62UoeQgUwVliLo6TTxZSxIlK0mQy1MZk6A2H7ucXjjHsmZsEgQDDaE81RZUq0ItoQZOCf1IxDkK3TjhTystdK1SJyu5oG2NhVcLfWtmMiNffvkln/z0c/7k2RXGWY73j7jWobSn6zpymnl8OHI8ildwbHpyChiDNMA5C//Ye77+8verhVXbPuXj6hU5WWJttRaPa2MMOSZiklS07XaLtZaLiy33+0fevPmONGaapuH6ugWV0VpiXH94+444B37+xc+xynD3cCCVd6THRygJhUwTUjq7nHRdd0ZD68SpaGnsI2CUwRlD0/ecTidilt8dpln2N2Pw1giqrnW1VCwraijr2UKdG5RSsNZhlNBMihXuac4adOXWG4OyihRgTpmkC65tBP3Ocx35SDGkquliDJVHvJ41BVWFo9ba6r870DhPTomsWdGtOQidznpVefKKMI0fNOrLGTHNw/qMLlx1pe05nriec9ZYYk1THIZBRurG1YJ7XovklCQ0omkaLi8v19G7ioJkem8JqmCdFuGy0aTpLH76+utv+eKLL/j2m+/45S83/P7L3/DmzRtevnyJCYHd1aVYooXA/Q/v8N4zx8rZ7nuULRwOh0q3kwIvRVmnaY5oZWmcwndSKD3Wgn/X9uScOZ3GynuVveD29h5rwnq/gNW+M2fh3LdtuwIyWoun8oKQLkWy8W7lnTrnGI8zfddwPB7pvGO/3+PaBjsMMslZ1pZxFa2X5235/zIth+OjcJqvL0VQOU001tFWOqCguROx2pqZRiZ2S8DY+h6MkWcgJkI84RtJ6QwhSJhRgel0IsdE1zi0k4bAINTHlNJqtSYx8ufPc2kUtLXosnCi5VrCXrz3lc4IVIqMrhqI4/G4ItPL8z3VZqSkWq8YQ1GBEgp4ca3SRah4pxiJWbIk5hBongBUuTaOMQVs1Y0Mw8C7d3ccDuJ4AgjA6AvHcaBTTX0ulZxfP0IfXvaNAnVvVhR19pG2ulJGc8ZqcSyzMur80cL7Y9cfRJFcKIxpFmFOkNKuaFf9WyuHlI+jZQAxBOFQVg5k1pmtizTWy8adMjmcMF7TZdhqjddezM0RWzKjZcyiKDJ2KeL3oKIA+E6BMw1pjrSurWPXUTZeo3HOso0Ko2HIAwnoXU8iMqWDeI36DouhzIXiFMEVKI4YxEJMqULT6pVzWtAM4x7nNU3TCWfatWB6ZrMjF4/yE622mJRplaO3W+Y5AIN0cFqT6ui41C4wV8RuVhGKrmPtKpSrRZ5WIihbfGlTCCiT6DrPZutoNy2tn/DOrJtFVppZKeIyOlNVrIZGGUfbKNJcsFrGW6fxBrJQN44xkzQi5lrHNAqDIQygrURvx2AYg4TDJI1wE62qfL+4CgGXzUk/GauUchZjNtqSwlwFMxoTdS1alCRT1a+f0on9NOB14fB4h/aOaB7ReSeNgJHRXSzCuw0h1vtRUchkJLjDGrxxUAKpTOs9ViwJdYZZZQyQ5kxSmVwUbZQAFGc0OU3CP7ZeGgYjnNofEzak+vUehQhLEQupKRGj4tWrz7DakecbDiWzT7O8bu2hWFwsguC56hCzIF7tRkQ6sRaYp5HGmJWuo51H2cw8RVmbWiYWIWZoNFFltBbruzHnVSCXq++r03XdlRlTD8KENGlT+fh7DQtPUlcakxHO85jl/kgyWcbmhM650oIKSRuKVVDDSBZhlLaFYiPOiFes1hAxGO+Y5xPjMND1HTlHfvO3/57vvvo9//3/8D/y8vlLQdSGiDENl88dF1cv2GwvOez3zDFR1ImoEt7Xwz9nLrY7wjjx+uUrhmHgq3/4mj//j3e0jeP4cIva9Wjl0U1LCIqiDb7p8K42FbrgrAGVKXkkzGCs5+rqAmMtj3fvKCnw5d/9ltZZOj/QNZoLl4mHO96+/Y5Xz57jto6Hr45wVLiScNM9t+OJzctXbDYbKVhUYdaFNM9477l/fGSz2VA6I+NnY+qzkFBK02JxRji4u6tLptPAGCLK1zGwMagszhtS+IhoyTlTPw9pPpXtSEriqjsrbkLgMLRkDLZVbEom6kKIgTkHcC2mOGItILU2otEgY0qmhHAGKoBpqGPqlOQZKzDGWTzxU1z5m3muosEse2lOwkdPMa9fA3UkXM+o5eeSCx0am2GeA6dpkqjxkOg2W+72N9ze7QE4TSNaKbqupds2vPz0M7TW9NZyebXleNxDmRlOgU23pWu3TNNESpZxirR9RyyiBzFKPJlfvvoJ33z7jqvrT3h3s+f/+fd/yxdffMHtg6C5xc389utfUUrhanPBw5s3bDcbxnGk8xPDMBBLlsKr0j+6didFv2sIITAOA8cQCOG+8mBb3r2rgVgp03U7xrFwOu2BhsNcGO4CYTpyfbnBNh3DNGOMpt+1GG+gGPpKr1iS95YCcUF/lVJ0TStF9k6AGKtYi34wPHv+SgCpnChZUUqg5Cy1n1aUJE4bu90OSuLm7fdM3tFsevAt05hxBiAxngZ0SAKK6UKOlpIlyKlvO8xnP8FvGn74h79BNzvsfGIaDyhGds+vadprvru5ZToN9BdX4sUeE2GcefH8NSkExvHExrcMRYNr2G06fNNhux0RRSknWjuigMP+JE2EFp/ucDqQQ6TZbrjU0nyhFGFJ4gwZ473s7VESUfMpYrNmCBHrMpuNuH5c7q5QSXIShhD4LEYmlXGTNCljPtC1O0liXECzysm3xgptp8x89d1bvn73jrth4PsHQdQvXAOtIiVHqhQyX+3r+h/hD28WimopmJR4VjQRTfQWayCmCd8octZkFTHK0DtJ4GvsvzDh3iJsQ0nMpdhgPbF1E5LAj3730jlpxGHBFBHqCBassFoU2cATHqyo2cXOVtKqFBqrZSNdezElPqq2chiXDXXZBGX0FtGmjhaMoihPVhljPa4mEyldwIjfc1msydT5g1roANZaDI4UJNpSG0OJIvopSoFuwPYo3aGKphhPMZbIRNIFHORJYoZXL1it+McAnCCRH/7+lftbUfPz1y3csFjJ90r8p9WZM1zKIm+S0fhZmFaIKaJNwJRS0WhY+MxLDLFRWkZF6kP+eUpyEBWVqSnfpFjFIqn+bWz12D0L9Ral+Yfv78y/FrHJgnTX96HlgVvet/AHA2XxqzwOpFzQzlOCTAeeTh+0hlKjvkt20rgVYU2WKNxzhdyDurDrVU31TfWQJUpXHAKqyZSYScXUvGG9hjacVcAfbyBzzgS1xNfKayxGEYomY2g3V7jDgGlO+GlkyrJRGiUplCS5P6ai2gsfM8qYA2OX6FRF0E+eV62q0v1DhTNQR9J1qFFAVQ5qKaDMQrNZdYK1WazJe1qh0sff69MJj9LCHVWF6t6iVhq+/C2/Y0Evi3NCR6nTKlVfr3NORIsxrW4YgpBLM7Vw68c4M8WJOc6kkum3G2I6kKu9V0Gx212jln0ApMBSMoosKYPSuLZld3WFdZ63P7zh7u6OZ+oZlMI8BqwR/q82Xu5jEpHjQjuSKc4TXQZgrefZs5Z205JD5v6HBx4fbjjON3hb8K7DuYb93S1929JsL2QcPDwQpoHeOUq05CmQm0RWmnEYyKVgjCOlsHrJChLoCaVIilyYKTFRjJSzy56wTMyck5Go8JoV1hZSGYRnb5xY+pVCzmp9TmVMKrxFixEOfImQMzkjiGKRBMwJKsWpolkxr+E84hohnPeloV7W8j/VOJydKhY0M0VxsolRQlNWsepCCSllRasW7u3TtXrMgSaJl+5hGggpUUJkPhSGw5HxcKRxHl3dSy53Pdttv3rPZhUJaebdzS0xFO7uDnzyk09JBY7DuCKu8+MBrev7V4XgwJsWZSy7i0u+/PJLtHFcXF7z7oc7klEc9iM5yQRItD0aipZQGAMKQ9/1NE3HV19/S6JwcfkJxlrhSofMPAf5XOoeKJQRQBu0bcgY7h/uV3F5Xh525ThNM75xvHwp7iRNK+LSmBJt06y6gAWplT3ffrAPWmsplc6yFGxaa3E5qXvjQrFZrCY/2EPqf282G96ESnfJ0D6h96maSBpLXgXb57NQk1WhqbSQ480PjMcD47hHGSv5D0VxOJzYbJ7RNpH9+/eEeaJ3ErzS+p6ZTAV1RRdQ6RTaWVzbUJImTJGUCt4JtSilxByP6KQoKTPNAW8dpjYLORZyndjkJ8+kiPay7LllSTA+T2ZLKbiK8JdQVhcM6voyWjIOrDYSvJPPdEJb5Ix/uH/kzQ9veRz2BKIkpSIhMPp0ZD+cMP0WVQpd08gEPvyIEqXWF8t/L2eVrvu2ygKUFBRhZSoIO2CZFvxzrj+IIlmhsNqtSI4o3J8oI4H/ACVZUCcjdnGlFmDznNYP23pXxzaG3cWGpnEU0hp1rJX6kH+L0A+SgmLEGsXmQtGFouUw11q4oDFXIYux5Jo7notGGUu7dTAG5lHhteOYZlqnaSsvco5g1BJQoistwpNjIc4J7Q3WeiiZIWm0cWyaFzTbZ5Tmufg739xxioHCxA/3t7y5fU+3+QnaONnUSBgdMWZJSNLiq6tEyS33mLqRnosZVQ+LWAttaw0lw/G453Lr6HqLVxZfnSSMk1F+mgNGa1jqbKM5zoFMACTRrhRIORDrfEAOIIM3Z77kB01IEUQz5upprcAajwh1IhpF5+Wwd86hKhfQey+cs7gkgck7yzkz1bxtg0KVSgmoI0mlFCUrxmHGaQk0GYaBw2lgmhLDKIb+sYp1jLKYDLjKnVYGY0XElEskAXOYmaMI6JbDc+HZLyMnhaWoJAEtSLGm4lg3NQPKiW1QGJ8IW388ca+UwhSrAIazwNU4S6YlxMTlq58yonE/vKWEKNK5lChMWOPrKFUEXEKFUYx5knG9k7hTrayMWoAconDcYsK6DlXUUuJK8Rkk2c3UKYdBkZM0R6k2uzL0lvW4hKgrJdQE+yM+yXILpCG0xqCTxMSWIuFBrk41avSUhGSoIuEvRbjPIBxyjUbr6kOdCrFSGmyjgUzTyAarlUVri+s8Efjm268IRF59/pK2McRYaIwnZvFAT10UYZnW9Ju2FspGRIPGoAq8+ulPyTlz9eyar7/7hpu7B774459VzmchTLOgpg5xZdBqkaLWBaNqkJKIZYgFZQraOpq24d/8l/85d2++4d/+r/+zBB7FwubyitE4bn/4mv/6v/3veN7/gl/t73n/eI/VEa8UKkXi8UjQkizWNA2xJox5a4nzCNoSYyLVGG9rLcY6mZikUKd6I8YqLi5bxjCTU2GaJzrrkeTFWIWWwtkvpdKNUqb1Da7bMM4DyhqmPGKLQxdFSRprLBtTGIDOGIZSCDFhbE0EjHEVWMkIWvbruQrs5DmJaxO9XIvj0lMRoamFwWE/YZ0UHIfD41mYt2gmjCHP0siMoyQjbrdb3tzfMbx/Lx7iWYKWDncPWBQpRJhn6DqZQKqO3ihaazjOI/v9ns2m53TzyFff3PH82Sd8++Ybrl/8lJnC4VHCb5rG8e72hsumF9qPUWiveHf3ni+++ILf/sN3PD6OfPLqZ/TdNcPpBqMNTdfTd766aIwo04FqKMy0/RXbS83t3QP3D3cYt6X1LYdjROvMNAVpVkxHSVK4TpNGKU/bys+8vXuoe5djOkWUylhvmXLGGtlrY9D87Gc/w3tZU86Jm8vC4+6qneD5nDhT7JbP9yl1Y6VzWkusXNnFBSlMkkbbVE/opfAeppmua9hsL7h9ONBfXBBDFkcMDCkmvG9RNjEHQdd7bVDaCqeWQtKebAu713/MRQl8nzOn/T3ztOeTq0959foTvn8/8PhwYPO8x+QHuN8cAAAgAElEQVSZ+eEHvPc8Hk5kFNeffI4xhk3bMs8jzkrmQf/8NZ+/+KmcTfd3Ikx794bT/R3z4QGNYtO0nB5n9nf3bC63GOfEFWeqjmAxrecCMtdkjqGuc5lMLc/G6TSjGnEbGVhSdNP6NaoxaCUe10vdoKo1m9EKZxzffP2G3/z97+g2nu3lBbO9JaTIVBIqz1xuG2IYidOMKRFvG4z/uLvFWF+7s5YITNVWceMbSLmGMNVpQ/X1nucZldO/PLqFbPALqlcW8fv/r0uXiouWarWjBU2MOcuff4QGyJjmn3oJr50lEiBSj2g0Z6uupagVFX2NlNSKFGUzbJzFWUXTWWDDcGhI2rBx0oXnKmraNJ4xLwiDCOOkGBRqQUKScJROAqspg/ENtt2A95AW14lMiIHj8cTpNNHvqkWYVqCL8GZzZEE8ZSPRayGsqt2KUmAqt3OJg1y44JIzb8hZkrSslRhKQYZzFRVmij5bri2dpPMGlEXnJGiakgd0GZsBVeRXl0KhCiNgQZlQizuG/M62FdGCNpWnWMoHnetTTmCuBfFyqfpmJRSGtZlagH1V9Jk/HCcS0jVP04TUc5VHuHytkjsWKrVHqYRKGmOyBFioLNHpReyjzojHed0J0hWFf26k6zbV9aIuDTLik+0aT56mld/+YzxdcY4oT1ZXvX9GU5JhTNB2LbvdjnJ4XIVGEhhYCdzLPZIbJ98fgSyuMeKhXfBKispZHpc1BUnWj6qIcFkTjwBcRX11zZReuMNFGzRqTSLLpYiNHVRq0EeuJ/xuKa7Ow5NqkS7q9IWmX7n1ykh9r40cENbqqmK3KzqKsShr2Ww6ShHP75QSsVJrpmnicBx5uLvn9eevmcdJ1rZzOCxJGXIsGHvB/f09KZ1R10XcsrxPVwvwoW149clrhjCyH08833QkSY5BcUaLJY3yfE+UEgGo0tJgF6VWW8EYM8o5rl99yvXrzzg93GAOB6bjPcFoHt5N3L39mlfPrnn16WvSPJDuvmEKma3LxCB+qiUbklaUIrZwu4tnTLPoCUJKtNaJBdwsQmfr/Poa0xKkQ9Vh1OjllBJoTcm2TnvOYj2lFKfTCed7XLeR/ddachGaGEmmF1Y7Ys5YkpjypEwq4LxaJzVKnakUS/Mcs+yvy3h4ubfL735qQbqcFyXHqu1QxJBBnb2Wl++fJhF/WzxKwTBMFVUWh5qp2riVopjHIKLhKVByFGuucWDTduhU2N8/iL+wUgynqRaljlwaUrEcThOH01zPT2n0itI0FTwwyjPNQjPRzvN4GHh/e4fWljnCHFkbQ2st+4dHdrsd1jpilOAPrQ3aWvaHA4fDkeMQ2O6uoBhilII1BF2bf0uqz6o1opEZp5nD8YSxUWgdwDTPXF1dMadMmAPJCKJ8PE1MIdJvt8R8ZMlLWorYJX1xnVCZD8XkTzUyy/n+gUjyyf+W6akgtQuYohTVhcrR77Y8Hg9MIdGESE5lRVi1siinSOEsVLfGyDOqJCUxK2g2Gxpn2b/4VChDoeMwQTfC89c/w/YHvv3yNxIl3vWkueC84TRMDFNhc9HxOEy0TcPuxQvuHg8k3eAvn2G2ieI7VClcO4ffXPDVwx0lBTrE4jBOp9WvGq1W4doZsCkfTlWfToPrNQwDOtsPgJmco4Biy/1YG9zlTBVtSFEwhZnvvnvD999/j9Gw7T1db7Aho2YJSbc6E41in2Ye7kfatmX3yWcf3fKDWlyj5H8no0mISFv+QWho5EJazAUAwz+/QIY/oCI5V55mWq25zl3ielD+yLUeEtViKsfAkDVN35GLdDUxJV5cXrDZ9Div1wLZ1m5Uxr+FFCKKgnZieVSMeBrrevhqxEYJqB6WIuhJWRaR84YezTRO8PIVF89eohkwKtPkI1Y5OmswZOJ4wG22nEf28se2FofBWgcqgipYb8ThoGmxrmE2QmPYdZ5nu0tubgdUcGz9FTEmSp6xRrrtlAshTHLoYEEtH/sSJVqjsnUh13Fk4YygSMEp5PiLiwsur3bM8yTodFlLKAC69ixGmSYpTr334n0bJ1QxVaAVxLvT9TTNLadxJszzOrpZ0GR5LTLyy0Qh5gOPj49suobLK493RiyS5rgKSZ4i0csDv3ivKqVWIYiC1RlBFdn8pnGkmlAQoiQI7g8Hvv3+Lfv9gag0cxR+t7G60igkDSqlkUIUHjgaby+EJpOKiF8KWBZkQ6LTxVBY3CoS543GxIxqOnJaDvNILAN6WOgdekW2PnYJteipFY/8OYRH8SHXMA4nttueV3/6p/zd3/09h8OBaZzRKomXtC6YThxWYpGmzNX16rUhV4TAJ0FOspETJjt5BnJRtTitkxlqU5ciziRa7+mLHCYlJ7ISEZ7WmpgCKWeykuTFjEQtf3QHeXIYyuElKPVCtTJKU3TBUmkJRlOUHKQ+KBKmjh8h5IhXBoOi8Q228ev4PKVcq26Jcy5F0RtPVJG3X3/NTz//jJfPr+gvX6C15vhwi/GWwATZ8+zZsyrAq2JOZYipRkxbCzVR7OrVK+Lde8roCCnwu2++5fl2i7Ge3lii0kzjiZ05N/mABO48LQaqgEiFmcvLK76/fcD7lj/7r/4b3nzzO9RXf8v+8ZYrD6eHW/63/+V/4k9+/mf84he/wLcdBxxa+XXKYmsRH4aR7tkFKUW0hnkamOdImCNt08j4MyRIMJ4mohLxHkqRY+Du7gbf7iBlvHWMpwFyobGtWIUFCcqxtgInMXN3c0u3u0RZQ0iSRok2pCj0F+MdbQun4CjGcTcbEuci11oRy03TxDzPDIOk6y1iuxCCrNOUVnrE0rw+pYmI7d6JeQ44u2GaBlKecF6mB13Xo5QSC7F54v7+UXi61bbt7u6Oy+2FRHpnxTSFimhPIi4zWlgOQFAdQ99xe3dAe4fd7ZhDIKuetrnA6AtKafjs8y847MWzGRUpJXE8HXj27AqLQ2M5HY+EOWFT4e72Gy4vn3PYn3j54jW/++1X7LY9OYsl2Pv372nblpw005jY9D2u73j75obNtiEkSYQ7HSNaFXzfQIFQ982YU003NTUUKcm0V1kygeN4EuHhsyseHh/pu2vGaUaVQNc7DvsD/9f/+W/51//Jn/Ps+YaLiwsZ5dcCeXFPOBfG53MjZ3me2rZdPdaXhldpvU6TlnNhs9msa+N83qmVi3v97AUxFVKWpvB0OmHNQnVLMtKv56AuQMpoJjKWtm1pvKU0Fms0P/nlv2bz/i3POsvd3R0P08Tr7TWfvf4ZQ0rcfvtb4umEbbc8e/GJ7J9tT0bTaPHEdhcv+aPP/xV0l0yuwXUNihZK4vPXrylxorUb3nzzJUw3bDtPOGmmMFfkVVD0GCPaGGINdMlBqBLoOm2dJLFys+nouo63b39gOuZ6nyQUZxgGnl86ijaMZaYUqpC1BrzV6WPU8LDf89d//f/yD3//Wz77/AtevXjOw3gSemSSNNkcIodxIlz0vL25ZU6Ros9UpafX4zTI5ziq9Uw3jRN/f1XIWia3RbFOHRY70PIfqCf/8fUHUiRDqR59ptqIEJRE0ZrIPAfMjzqkCoogHYTB2oZxOuF9hpBotMUB2hkaG/FOUp2csXVs79YR2dKlQiSj8cUin48o4skF3xhOw4HWehplYIYSg4xdfXUnGCX+9mQcIQa222foGHk8PtKbyM57Yohot8GkxTaLKjKzqOyEY6gsMRecaynumqI76F4QzLYasO+JaaboPdYpSjEcDgeebz/FFFOtkjUpGaIxazOhlPBAXRGlu1KaUhIajSWJAbdSVfgnTg7jPOOy4tnugt46rNbMKeJUVQlnjVbVPiwuEbjyoMzzUBXILakkYi4oPBs0aMtuqxnizHg0ONOuCM6K2qfCaU44YwlRLMtKrEK9oDAIqhlTxvoOawMag7MSgqFqERHS2S3FzBHtBbVKiAVaCLXZ0uImEfKICj06J+bjA1M68jgamuYa00xrP5qJzBhsDDRaUVSD0U4KgjJDAZNrrHBWzEpjlYyHSzlTXOY8iMBsLoSiiQXmcKrWSLWBUwqjKvoekW75R+gWqExSgtwZxJYuV09dZzJzjuiiMLkBU9hdXJFKYg5HSrEUJQIobSWOeOGgmVooxVLobCsIipOxqNbVjzZntE0y2aFQVCbrjEstyipBhUuhjIm7RvjOwiWXDbUYiKlqDDI4DW3RnMrHN8ykjSD7SkuhrRQpR7QWz9RcU7JErZsos7gilMYQKUKXihKd7pUh6ELf96tTTM6ZaZYmKsx55TTGlDhMIjQ83N7jMszHQNslihI7NJlgWbTKQqNS4kZBFm9cENSzqCzcPeNQZDZNS2OsuF2UkZgKxoKKM1opds4SSViszIWyfMaq0jdkcYqloG960hzpjSLME27zjFd/suOvv/o7hjDyLJz4ZNez/4e3/Obf/Tu++OwVbaN5Owxc+I7H4R2Q6TU4HN574mHEO8vx4VFoNTphbA3WAYKe0Y3jcJhQSvi7V5stIc/s2sJcBozRpDihcy1Ea8qWNo7WWVrlxJu+QSYUtogmIktYkTGGnXKEaWTfz0T1SOMvCMc9jUqMpa+8S0UIQm3IJJQViz+PlgjsFGVmqKUxnEtAGcM4TzjTYkOUEbBVRFMop0hWhZM6McYRrwydseAdN+/3bDYX5Lnl+DDx3dsb5tOImmdubm6Esz+eOB6PXF5ecvvuO0Qkd0lT7UVLkKYvNIVpeKRhpDNbwoPwY/tNR8gnTlYx3AZ0yUzF4J1jHmaU0igsusg0dZ5GrBaHkKwMm97RuZ7LTy+Zjns6ZygJLvsd+ThKwIh3PNwPFKU5jeLGMmXN6W6UBgfwqlqVauHmrgWjteQEVnsKEo+9+OVmrVBGJizHKWBdyxASiQmlFXOEkB13P7zn22/v+PTzTxlDoGs3TPXssjXHYEmbE/1NXiefWivGNGO9rWLtRUgN1jtCgYjCeI2vIFFKMoHyTsCl45xovcXblovugpt3t+S2I1EIKdI6L2eOzjS9BJ5kqymqUJJwp1WKMrE0pk7jAhfPrihF8fzTC9lXTMToxKs/+iNsozl8K+EYYfOMbrvDtRumIHv1bhM4KYdRW67aHcWLLqQ1hVIMgRbjd1x+/secYuTtr78ju0i7a5hvNToZpmHm8voC4zI3D1/T+4bGGMYwEXIkDFH2PmMIIeNMS+s3bLYXMCbmR4XyUPID0+nI4/FAcVt0oyhxIqeOOB/wrWMKB6z1hKnh/uaR480P6OnA48O3PH/RcOkgzSdev3hN22/47u0tygqP/SE4THFMZvzonj8eIvM80rROGukQ2Gw2zNZhU8ZosJuWaZ5lAljAF4POCJ3pn3n9QRTJpQC6WdFD2STlEHJWi+F0/vEieen0F9FW3/eS0pYqGpmF03Sx29K0Houk/USo1mlVM1D5dkqJV+AyOpNRjF5FWKtVUUVsVOUrWysKzjyJmEUrRdv2vNxd0hjD/NhQphNTeEBZxabzqGyqmGcRyAlCYqyuTh0e7Vtce4nvL2n7C8aQJNBEJdq25XQ6cTgcxGJKycjYGifimSKcIW9FDUzlBMs116CEJR2qyIi2iOBRay3E+mLRUeFMYdu19BuPpkB1lSglSfDGkxHN01HNgnYusbuaJakpYK3j8uqCIUZOk2UJLVmK2eU1GB1ROqMcWF15gVXp7L0Roj6aHMJa2CzXeaSUhVOuFFbaSxF8KlWtdkrtoKcnaUGZx8c7vvvue8ZxxtqWECeauk7E/kyt/OOYBb2ONWQmpfDE8L7GZ+e0elEC+MqBExuzhRghdmag1yRBox0xzUz5tIoGnTHCZ//Yc5UDrXJnQ/kqPG1sswoXlsCDKSaev/qEq+sLvv/Ost8/8Li/W5/JaZpWFE1Ngq5jFBNZKABzqLaLsibmaaT1DV6JaCvkgEoQaoxwVmLfpXVZGwX5I/HXVEGnqqLBokS482PaBKNr2lNtGmJapiPndaC1JsdJ+HFWIoWzKsxkOudRVmOsw6Boa3JWSYHTcBRP2EH2g1CiTFl0rvdQ/EYvXjwjGsWsMlOYWfzIUVkS3zSCvsckRTJgLqVJv729FXSz2ohZpcUmrHE439J2G46nPcM0AYrk5X12m06oLQpwwpntmvYD9LQUsV0qRRT9i+OLTomf//l/wf13zxl+/zcoFfnFzzve3R74v//yL/n8p5/BFHjz9obLrcMYy+PDyO5CxHOqg9ZbbNHkccRkTeMc7cVGngGEX+9zQ54jj/sHGoOMP3NAG6F8oRSl2jOFMNM0jXBRSyQEsE7zyac/ISl4OOx5dnVNqOl/OWeyOk+LttrgSyEbcDmhQiBWn+VcKt1DJxnaaeEJ55iY6/mSVBLqRhWlds4zT4n98USYZqxWYAo5wXE40W03uGJ4uH8gXkrc8f3hwMPxyP2dBGv85le/4e7dD1y0nqIT3abl7iDetzfff4+t4EUcB7xWpKk+ZzkzzPcoVYizZtg/0HQXGOPI/SVK2RpPL4mRJSfiHOv0pqBNQyriIpNKIZSyWK6jlGEukTQJvarpanKdUry7u5FJat0LZe8Bqpd1CImc55XXu6Tiaq3oe3FhmmIQTYASzrlVWnxrlWJKDSFG0pwwpk6OHLRtX4EPmfC8fPETfv2rL9ldtPzil5+TQmDT96Q5YKnIoTr74j+tH5wTjdNyhsj+L178QlArldZnsSu9YAk1k+fcKCW2aVnh2oaH/T2+z9Wmza92hlIjVCvTGh+10D+eTkShAmGVlrH4E6toCKfIxdULdpsN+4st0zDhW3GxME1PT4GQPzhTM67SAk0Nz6i/R2XYbXn+s/+PujfpuWTLzvOetbuIOOd8TTY3bzVUsQq2CEOwoYEFCzA898CeyxPDA/4A/w6PPLTHHukvCJ7YgGEIAk0VaVKkqorFKrJu3SYzv/Y0EbE7D9aOOCfz5qXogYBSABfZ3C9PE83ea73rbX5MHh94evdbjuOB3c3A8f4ecubw9Eiuha4bmKcRaQJUK8LVjfo4izV41/Pu4Z4xRULo6cLMPD4g9gV99yOM71npi00YOY9TozY1obEE/vLf/oI//7M/41dffE32Paep8Bc/+2smZmoc6d3MdtoQasSGga4b+OxqS6qFod/yJ59Y8//hj1/x8PDAw8NeaS+pkk4zj/MjJqmj0TBtWt2je7BtdKndsPn0RvKJ43ejSAaqPtYqoirKcS0UTFGLtUVk9sl/X89q5OWBqUXWLtN7Tz94hqHDW4Oh6OjnAsVb/v2nXhc+5OZUOUP4mm7UlPEt3S+zcJMC0mJO+83AJvyQNO2JT4Y8H8jOIsk0T0jlF6p+7zwaMHjEdXTbW/php2KdPFPqxJSmRmUYPzB21zHHwsVU4+zyqe/VUGR1F8gf8JKUQltakSJ4o5Gj/dDROa9OEEYpA6XUVTjxAU2ifpgOBo3T18RzWIczDmsKNSes+DWExDROqbK7EiJNxS4FSK0p2LHZGJypeOvWJmn1Xl6v1/n6Ll9dkcAmemp0Hms+LDZFhHE6qGuHqCDKe4/zW1JdHCZashtCMQ6pGTFOnSgMSDnTPpbzXhaRWfuz0gFERVai9AIR5TrbxeuRJTTHkYpaFGmzoVOUTx3GAKWqK+zC26KunsK+iRmUZlTwwdKFgdsXrwDY75/0mcoVQRsvfd9KyYVMbnHtgqvquax+0OrR6gVs24wsymEda8ZWUXi4AvZMqdJfz8mIponR1GujWTZ9B2ruxKCJhmdtg3LZK3Wx0mjX1DRUfSnOvff4EPRzO9cU1fN6bmouazolKIJVBEpV5xuxhilFYk66sYRAzudxPbWJBo1rnHzlPLar1Br7HcaM7T2lbXj24n52Kmhqo2T1nTaEPuhGLc2rmDNFClhpA8765m1c1nFqKYXqesL2FWX3knLaM8cnXr1+gX0WHt7f8WLQQqQWVeunlMmpkqQgOeKrp/OONCu/2FoNxFhuwIKKRkPnVENgDKAofcwTadbnaLPZrNfC+ebJXLVAXpB8G/za7IWuW2Nm9a2M+rq35LVgHT5nLInIWcle2t6i5yarKLZAzuq0o/7nKO1qmhRMiUKKmRQzU1F6iXHqiJKmBBgOhxP34xO77TVjs4C7f7rn/t09zw+PpGnGbTpCF9huetLzCYe0RMpFuFtwNqxiYAVrlL9gStbUzJKRqpaENlgKHSJWAxOkkJr+oqKUwlwV3KHlBqSijaEIpHFq9lztHLd9JyE4sYyn+YO9dfk1hHB+Ntra7r3ywWNMzYnq/Fxf7gsA1nrUi+rs0GPEURsqvdAtndUUvN9+8Q0/+tFrwo1rjjvnNRXO+pOP9+9lxL6uu83NRJ1WmmjbgtTzd1O+efvz+vk1xe40txj1/qKB6PoPnJ4+Pi6noqAT88s9sdaKE4eIYxojVoSb199j/3TQ4CNnmzuMoaSIteZ8LsWyeIkvDisNUlCUvN9y+/kPSCVTjk/Uec+cCsEoEFGrNtFlWuKiNSyqoPz9nJc0wcJxPNGFDt9odJhK192SjMf5DrzHWHVwWryZi6iThHWe3/72K77+5h1jgWmKePFIrkwAMwgOKcJpfyCWmblRagS42u2+dV4BfvDZDdeDZQiBFCvHk4rGvbWQdH17ftyTSkRwq7OZ1oPDJ1/zU8fvSJGs4y1XLQ5VcYs0MV4qSK6M6buRZDinrS2cVN30gFroXOVmMLy83tJ5q64W7QKUqiiM9c2Kpgmslu7okhet7bQi1lUgDD2bPuAaYVxKBkm4oHziF1fXpDxyysLG9Wx3t1Qyx25gPjwyj48Mty8Uva6JUmZqTpgQ1CPaWXx3g93ccv3y9xATyHh8MIzzicPxCTiHT6wRn3XxFjWIFRWkpUWUZ1ah2lL86SKiRU6KmhCl9VXWwl+E4D1Xu4GrXU/fOa1tbMXYJbBF3TkWIdJ6bevZs7jmViguNApjcd4wdIZgCzYrBUCMrB2fMdo4Ge8oKAIXL5DmS4Xz8l0uAxdyzuumLaUgVaOinXPKkV0R72+j4GrgHkmnmWnMeNcTQs9pnPAbz8IlVweISDVWC6cCmg2oFlygo+FS9N5ZbISW0aQVDXvJje4hzWLMWkucpvazkFLjWBuzukCk0orBTxzGuNXkz1otvDX3wK0L7VKEzVPieNrjLFxf37QwhXnlUKoXaWgm7TCWxJxzm3poEVNLJacZjMb2mtY8LgiHEUO/NFBNaGeDJY5TmyAAVcfyguCba0CUs93edzHJXGv2SuMjF5uVolKS8iOXaGev9mneOaxzyBCYklJ51MNWRV1lntZic5lUJfHUqmSsmrUgFSyh96QK9/f3fPnll3z+D36I731rfkNTVSdMoyLoFKq5gKBOH68+e8PcxvE5Zwq2CW8tYh1OHK/f/IBSE/fv3rI/POlIeZq4utGgg2EbsC0O9tJ+DOA4HZt1GPgSVg7mk/XksKVuX2N9YNtZ3r59y9XVhpIS02nCdJ5SDKUkFco6wbrK4UmLv9vbW0QqY5qIZcaJ6hD6oPdZ9oqMf/bZK2qcmceJYejZDrd8/fXXgMYcz/NMdQlKYk4TQ9+xu9FEufvHR2wfMJ3n4fmJ3bBRb9wFwbKW2RjG6OhF+fYbW9nEzOOk616p7T6VhJjK4ahe3zp5UKeip8Mzpe0hJenEcX+Y6TcbjIXn+2dyUn9obyz3jwduXr5gjJFf/vpvePPqNV9+8VuCczzdPfCrX/2Kl8MVn199zjZoallNkd1uqyEVwa8pcv2mp7TPcXja6wQnRUpJ7K47bruB3qn+AmDotxjZklOllMhmsMyz3o+gbjFxCY4SKDaQKzq6Nwah+VpLQKzlMMFpnsjZcOt6chVCyGvss21Nci32A3qiglOajNn3W3It7I8jxluctWykV7RYlHM6tSRY14pyciHVQppnXS8NpKhCr+997wd88+UX/OWf/pKf/Ph7vHp9Tdd1bEKnHPahxwW/giSX++ESsMWy3uc2gUWxFtsa8brs720PWSbEpujnMlaTYDe7DW/fvqXmwqbvSGmmDx2lef0vIMxlzbDQDpd9SiEnFYsWw7pvxvFEsB2u6zicRvqbl2shree6gtdmuLR9LpVEKG0qZGAF64DNpqd2jj78hOH6JemwZ//2b9gfMyVO1HgipsTGaAaDrYWcI6Vmnh4e1b1mjsSkAUVxmjkewPUFXIf4QHe94WR7xHmc02C0OVUNdam11Vie05T5xc//lp/91W+o/RWJjiKB6TAy0SNJ2Nz+GG8sj7854oJhuNoxjxPv3n3DlCr8wT/+1pr/shd2ZsCmyDRn3KsXhNDx7vTAbX+FtZZjo1U8PZ8oTYBvnKPv/v6l7+9EkQygViLa56m3XVWeW1EluvuOkfJyXBY3ukEssaYG5yp93ymFgQtED1hgneUmXhAWd9H9LlZdtVYVISzIcitkTCtaFMlUxHF5UH1TXB+mievrHcFuyFezLjjO4Xe3im7XiVoiJU0U0YAM5z25u8EPL4EOsR6MpbYYZ9AOfpzyKgzpglkfTjHtgUwJarMVu6inFr/eWptQkkZJKAaxrOMnEZDqCM7iW7qaGFk/h54n7cAvkxHPyEFL4CFd8KJlXQCur7bc3Fzx9hv1OzXWKrJaKzUrd9O4oNfUGop86Dl62cEvr/+BPRBLh30+jDFU04ROn3itxS7G1oyKtFIbMy4j9wXRUIQmS13jbgu1Zc/X9b0u0RRLE9GhAQsLav6B4Koqx291P8g0zi9rktBSKOf86dKxzIXafHm9CAi4KqQLZH1pKMZmU5VLBeMYdjtevnypzg37/SqAMUaRAoPyjinqYl50dtnuIT0rRZb0vEpBA0lc1UmM3iYFU9t3qRfPcUP4L6cPWmTLWbn88ZHLutlJqbiuKbCLIqehV3vAUEsT9NnzJpoVYc1zhNIQnhQv1pQmNhSlKqmos01hmre6mMLD3T2/+NnP+af/1X+pbhnrZEOjfEXUwUGyYaadL2GlS7jg2ey21Fo5HhxhOmIAACAASURBVI/6/61pP6dom8Ox2+3IRT9froU4zUiF3vWYoMLfy4ZRv0Mr/ISzp7H3WKspnWPOmFy42Q68sm84Pu8JZsMsmsa1FcM0nfBB9QspZXyw1BwpMSHOYnxDRCuN9qLNnybWRQT1c05WqTsM/TqqV6Td6HTFWJyp0OLEhTZevpj2rNemlOZU0nQHnMNfRCYkW3Le6CSq0QVyjYipzHMmHjQNryznMkZyjEwnpb2kOXJ8nkkFXLC8v7/j6e6Bzjp2w4Zx1Kjh59PI4909ZYo83t/TOxU7Xm+23Fxt6YyDOKvjRinkbSEbLYhT8zKfysw8q7XkKc2KpLqAVHUHirmlwDrbmhaoRgGdrvM4U8nW4l2nxR2VPCUdfWDBWCgZ67yuHBWQTCqQZ7UUFKeFWy6OTfAgsTkE1XW9KFicO9/fpRRKVY986wSDJ4RCMWC91ckRVSOQjWlag/P6uKzMXafuMXFSW7iUJqYIw7Dl6W7Pw/WB66uemgvjZmS4dFGyZ7eKZa1d9unlc9aqwU+mKmf5PP20rZgtF1NUnYpJrGQyKUVuXtzy9W/uORwOK/gDUIvQVvUGzJnVKelSOF5rpTOqhVrWs0VoaH3zpq/5zMs3RvnMyzroz+dtnfh+dCzAy1XoKOI5lolwtWXoO4Kr7B+eGZ8esM4gs9ewF2Pbe57pjSUmgtXgnpq0yJ+myFiFbhhALC5EXP9qbU7EoLkOpei9YC05Cfv9ga++fsvj4zPD1S1RDhz2E8/HCb81lBIZUyaZTHKWKWbklDkeRx5j5oevXn9yyX98/54UM3nS0KfNxuGcZVcMN9tA1w3c5Io4y6Y76nrZGAD95j8wJFkQNqLcNmlBBSYpwhyb6fZ3Y0ggRtX3pargo1SBHBljYug9u6uBvhN2nRYnXeipWXDWEJwWucZZci1MTeFcc6bUjLWubXCCixUnQjCOMk+YFHFeF+haPcZ5RXFTYowT6RR59fqG56f3TPXEaVsoXcX0t9iwwbx6Re8DQ9fjBeI8ctofIJ4oVXDbW3YvX0HwlM43ysSRmCbGORGLZeMshgGxCbvr8FdbIp5cLbYGaoxNuKJcXSMN5axFkeXWOdtlBJtKK/YKVhb0ubIZBoZNh+8doVN+jxSDF90cU5opolHNa9fckNxl1q8NhVAap3MugsuFzsLr22t+br7CekeOSdfzoqlzqSZ849kbKxRTedw/M44juSYKAYwQS2SOFet69YnOGR8Ckk/NxURT24LznE4nJJytbGouxDZij9NMSRVi5XS4wxnHNI48Pu4Za8GELemUVKzpVFGUYlZFbWuylmLa+KDdmFWlb62VPDahptGFpfEiwDa+bmmewbEiJhBzplRFE6xY0lxWBCeWJQTh28d+TBi/R6pwZbdYcZgEyTerNavpjiF4XnnPszWq/E9HRDIvbl43pDtwd/eOx7t7RISTSSSpGOfWjcFabRC6TpGtlDJJIMuIt9JoEB7f6BRZTwqnOULxmFqxSUVTuEqukeCU6lDniDOGHAth+LRn5qHoZh62nlgrm6VgK4LHErxrkxVLKdrEEAtpf2JcpietyUUqU6O71FqpXov07pAxQ8dTyMzTxMYEguj0oO83PN498uVX/4r/4Q//EJEOMQHvWnyuzIhVflyhgp+1CYuKWM+jfv4XNy/x3vP49LSiwEsRWYzajm1vXrK5uuaLv/lbSgV71VOq8PD4zG6zZeP79d9678lFBbU2OGpKTKcTpSFEzgVuXr7h4Ytf83j/jh+8vGHzYkccJ2wpvPnsBafjnnx4wpgZbz0StZHtQg9VnS5c39ENKlL0edLitRqqKQQrmG7DNJ0QJ7y4esHd3TsO0x23rwdMhcPzkaEPrbgwa1M/ZeULv3zxgipwyolhcw1GcEGjq98fH/Ax8Gb7fQqFyRkqGT+OSrR4chzEc/KOmg6UOSJuw3SKnA53TNPE81ywoSMeTsR5JkW1v/z6q7f84OoVT7/+Ld+8f8fz470i7I/36pRB5HF65nA68puf/ZxhGNj0A74f2PY9druls5p+uT/tlStbKof393Rdh7VunTYdHvfE7EA8vgsM20CwTf/S4BnvPV3Ykr2mT07eEmygxMLBVzCek1iMaKy26XrGwx4jhd5bXK44itKkRJNCtfGseNGgkc7v6L2uwa60YmLBqIwlGM9kqgrwxCKlckrqfT/ND3R94PVtRxxhLjP7UkA849w0A/SId9ig64dJhcEnYhLEeAZXSOPElAPTacZ6x9unRx7/zc959b03uAT+4VmLRWtJBW62tAmKo1YFbbwT5nluNnZJXUdGs67Nq+aogrcathFjXBsCTKOPlUxnDd9/9Yq0P3B390Cpns0mcIwnnO+QrM4bwRmlWDZZ99K8LdaVyZ6BE/0fYKusXt45JtW7VNP2TQ3pKKWoU8MFdVFR/YVKwrq/GTnbjPabW8pGC+fdZsBtdzzcvWX/7lfYPHN82zHePyDOYFIGA7ZZOxpnde+bJijQ01GnStkWaheJc6Hf7JingvURHyCWQm3wUZ5mTif443/9Z/zRT/8Vznf8Rz/8B7x+9Ypf/uwvsENlNIliCu/2j1zvrhjTxOkkHPOJ6gy53/IufWjhuhwuCDFX0pRxToiHrxnLyEZucdOJ6fDIdtDPHOqezeaKV7ffU42T++568lvv8/f+yX+vR+MjLg4WVZiadUjOFUppTKJPH6GN9c43fiEKiGScNVz3HVd9h2kFMVYRSR3JWEUwRHk/zrWiSWLz0xSKqDp20/dkyaSoXrbOCGF/IqXIcZwxbrsakYuoKOR0CoQQ2Gx7YvMZ1dG34H1g2L3Q4pFK323ZXL1k3j/hjNd897BVTlKjkohoRz43lCzO0HeemiLTNLHZCrbThyeXCWsNfbfRGx3d9I0VjDVM06jj/27TOtpGlpTS/H/b/Buh7wO73Wb9bosQbUF7lKPt2uZ4RvWXLl6PxrVcumFVzbXP4LnZdjyNI8cUKXVLKa51txbq4qKRqcU1NbOGfqSUqCFgxAIzxqhgzgeLsRBsaMVnWu+Rvu85zOMZnTIoshQV5VricHe7W+VyFnChp3fXTEntytaufuGycYEWL0h2W8RSaur5hlQA6gpRRWkgIlSTVdwnyxDwnJq4PikfjODkA67zx8fhNGFmi5UKXcHahBUhxTYFodkKigWnJvHee6YZUh55ur+n73s+//xzNpueOJ0YxxGTCs421DhGdYXYBErKSM3YRiEpRqgmYIxSKErJiHhNo6xqweYrlGW/KFkdGvTRR4pXFLomctXCZ/4O2lUQdXjI06wIhiqNGveuUmrEGL2mtRTMgr7ngvW9usRUMGKJMTURqy6Pi6uHy5YyR2qbnswUppTYuQ4o9H3gMB74zd/8mt//R3+AdRXnNe1QwobaGtFcCpjm025lvZaXnPrf+73fW7nHz8/PmlAng95fjW70/R8qZ/7u8QGL8PrlK6ro5+26Dufc+twvMb5zGz8eDgf2+z3VQYmFrt9x/fIzHg57ulNuPvCZp9Mzx9OBlyGcqVNJ/YBtcrjgub6+JpbM6TQ233Oh8x3Wd4rC5YgpUUW71SDi2W0+ZztkDs8aS/vy9QtKjvhwrYETd49473nx4prn52cVYTlLby3OWGLJ7btljHWUKtw9PGJMZftmt1IS4jRz3N/xnCyPEnBlZjoeyPWR4zRyen7GWstpjIxxphZhv9/z7ut3zOPEV199xS9tR3GG0zxi0WAaSTOg5/NnP/0TQghcO8/1sFHKWy64mNg6x/6419CVcLYS9DXQhX7dJ5br4pyl7zvlXJeErRVvLcYanNMApZwz1m+xricZjxGL95axFKgVW5vTC0qpcK5r95Y+e1OescbqOLzWVRQvrtFSBGarbrKL0PnyP2sNQ9sbvDN44NpfUVPE28R26Nj4gW/2e6ZceIqQxTEltSOdYkVswRiN6K5SIC9TJ7XyC85jg8HOkWKFuU6cphP/4n//P/nxj37AP/5Pf0KqM/istpnlBg0E6XEu0Pc90zyeUeVSOBwOH1ABWdfjhRaxpO41qp1ZJmdLAa4hOqfTSWlV33vFza2mAa7UClE634quXkwnRQRJ5wJ3+Zm0iJQvJtm1JiVmiKz79WUQzrIXLCO4vFAZ25607ft2zVtces50Vz/g5fCG7e2PmF7+kPnwwC+++j9wtsc71L60QMyJUgsl1ZVSsyDzUSrTw5Om93UBvNK2qhTm+UStvgGLmo/w53/xM372b3+BI3B4Htk/7Xn12Wuud1d4UYBzt9kSgk6Vrm9fkM09OY2MU8T5juk4fXLNl+6KTWd49/CW/XFmaxyleryf2fVQovAUT9oo2YHTPjH6I8eaWqz43+/4HSmSgfZYq5etkINpfEZFmm35Oyp/KW1mozzbUgupVDoSwXq6JTCgFcjGaJzs4pm3cB1rbT6H0MRT2skttIQsQkaacE8N+413eCvYxgMuxeAalzalpBwYSVgn+BAoJenriSr551SxtbZkPyE4g7EDJnjEd1rE13PxZYyOaZyxK5fVOksuOirWTbS2QqyqyXcCwTbxxtk1womOxSkJEY8zQm7JC3VpXBoK7L0lBL/G6l7yr/Q/RZyXBemS4/WxAHItoNWYDDGGEBy7wTFOkWNJZN0VFWoVHdHXotzUgkbMnoUjOlE03tD3/fq+sIxldfMwFws90Dx4FSSppXAaR6UVpKKFK3rPxDkxTRFlsaFUCmEd0RrRkbguWEswS7uvWkdfWwKTIq+Nk9zue/27hU+m3XxpAozSTNppgRsLNWEx6v+uAhkWWoPa3E25KAfPqqqazMqVK0VHs7BQGyy1CrloElgtmThO5JhI84S3Vjl91uC8BVtbQImOC/U8ZEq2iFHLM2sXS0E1ni9FBU+5Lhz2xmNo1070IWxnSTd7Yw3xAwnqxXfNilzmvCzu9eL6n3+vP6v3okGgjY3JfOvnlmu43NPLJpZL0qQ7Z9eitBrLZhhwYnh+VK0AJUOJVOtw4qEl1CntRF0n6pL01l5f3VoC1lqGYVibpJQSh1OkZo1IN8Zw++IVp2PAu47T4cD94xPXuytebHcX7izasC3I8qWoNefMXNU5JQw7yCPT0wFLJThNJZ0m9QNfveg5P9OpZMpcmVqwjRW0gY8z2RW8MYgRQlBvXGMcqmd0WCfUMuHDhi4Y+t5jbM9xTPShY3dzpc+isexublc7yaUIMMYwzVok90Et7ypqJyftfObY4qBbvLrkwjxFnh+eiUXYTyfuv3lHLYWH+yfGcaZ6y3Q6sX961kjf06SJpb1DSlG3ESv4oAhrF7QJ3TpP318xDAOCNEStrOc557w2Ksv9tFCplms050oXHCFYgjekZNZI3hw1nbFkoKrAD9th0edVpC0dRvcmo/w/gvXg9HOUasilkmlJlKLxyIuyOVfl8ceq4JRFNKyBc9iGaXartj0XnQdvLbfbnlo9noIzlsFZXl9fMaWEHQtTMRgrzKmQ6oxIgVYQ5pIxOF2fFy0KqG2ay1Rj8b1y0+f9M+/unvjq7TtevdjRX2mq6hLkImJaQ66NqIisCYjLM/bBWtAa+kvA43LdkA/2DGG73XJzc8Pz8zM3t1u60dAP2/X50PLlTINYfn9Gjs9F8qeUJJcUxXVtu/isH4gALz9v+9lLQeX5ffVnYlFes7M9xrzEeEPodqQU0cpGY96td5h8To5cHINk0fmMM3ZOdH1PtrY5bWiku3WuBUTpPX1/f8/j4yO1KiJ+d/eAGJ3O56xgjTNWaUveY73HmEq2GW+8JivKp8vUx+NE3w9Ur+FFJkEuws4FUg2k5i41pcxud60ag66jJHTf+nsevxNFsmlFkkX0ZC8Fh9CU+6J5C99xlBKB88JTa8V3HW9uAm9udtzs1FLIeLcK9PRCGcSpn61UlmgNgMbntW0B0jH5XDJ4odKEETmz2ex4cb3FycyYPXM539CLBdNCZfDBrIKy2vyI85yVy2dVtT2XCv2ADD1ZBG8dHtGoV2cxtTT+oWfrO7VBLc88PrwnhJ7eb5BqlOPUnCfSnBEXqDU3RF41533n2gY8UktqBczC19ZCe+lNho2nH3Tzds4pwk7FO9+6bY18tXIWTy4FxjJ6Uj54USOQWpFqV5uzTW94deWZToang5DEqftFFVJVyohyYbV8n6aJ8TSr44RzuoEUqFURGzWyN4171pajdk1O0wxGNFYa1DZpjhQcqUZ1LCkQpyNddTy8f2KOBRe2HDJgO2AiF0VhDJq8RM0fLFDKO2uFiggl60JSW1JApawoBNTG3YOaK+XjhVaUsqCoo10Rh4852ZdHbkEShtoiecE3xTFoYxBjhGnGeqsKY7F0YYO1jvDGczzu+c2v/5rpsIeSGLxHrGWKsXFbaWIUPZxTlwlrLa4EtXqzWqSXrItWrepzquLNXoUZrSmpRpRiRVX6lQjRKK/YWPVu/tTxfDypcjloIZpOZ3QW1InCqMc9tWa1gjIt5ZGqTgy1Muekk6aPuPXGGGarjjs5pqZHCFQxWIvyP6OK1t799guC+6cEXxFmhErnt82KDOVIG6fpfg3tXSKLU9LncDBmDbxZfj08a2rW8bhvceOF0PdNIOrZPz7x7v0db+/vePHiBb//+7+/Th0uv8u5uSzsNjtEDA/HEfwVd6evCN4w9B15nkEsOQfyPLe11ardngjDMJBS4v79Hc41rvRpwvcdIsL+eKRKYdh0rRmqWOMokrCdJc2Z3fUVRqraa4XA9c0tx+ORYdtz7a84HdVqbKEq1VopWcVkyRpizBymGWcF30FXK/unZ2Kc+ObLr3j7GPn1r+94joF305Z0PPLw7i2xQiXx5Tf37A8njocjtUJCA1+vt5Zt17F92eNNhwmaqhqsigTVZQKutxuMqE7gdnfNPM88PT9jaiW1KO6PnUZSSrjQMadMra158YFXuxc4DzUnShkxtaBUfuEwJ0w2bLxFTKAPO4wbqNGRMxSv+4NrFoMZRTRjOiFilF5hHGItcUqqDWiuLca04Bx/Tl8r2azn6FxwCc5ZqoVQDSZmnuaMcZW7/XuleMxZkTtT2KBrLKbHhEAdNlRv2RgV3dWUSaYhqanig9fQopxbk2EQE5jGGakOY7f0V47n05Gvv35UWhfCMHRcbUtrQirWatFsvflA13BZeF6umUvNcFnQigi56j1vjW+gV+Hq6oof//jH/Mt/+X9TiXz25j/T6+oWrrzy24s9A0MisjosrcVyW9OBdfVczrPypy+bXNOoix+ueSpqb79v3zW311meeXF2FYHjT6Q2ebWd4MyW3fd/n+M7oUzPnA4VU13TFzgY0fvD6b1i+0ANlvzVhDlM6mcvDXkuCRdUhJzaRHU8Tfz2t1/y/LzHDje8eNHz5fv3PByO/PCHr7BDRzxMSIW337yHari+ueL+8Q5TLKHXKbyzn97fvn5/z3abcH2HiZHnY2x0k46nZ8c86/0dY0WC3pM87wEI8T9A4d56wRsC6punrCBUqYosfte/tShyVJVbCILDcNX3XA067i0WLYZF1hF/bUKjhURPE/SICInURrXn94214lBLulr0YUglqz9rSdSq4RCIdnTLoui9ojKKCBaMCarkp2ArUDO5mcdXCtYFRZ2KRqyCUX5f2yRySsqjMpZYK3maOB32SrRfbaYWqkT7Dh+N7GuFUhfLHS0clD/c1LKyUIn1oXZO0UCNpNbiWrxuHKXxnLHNieJi1LS4U+j7nukGHxd21kBnYeM7rC3MtDFYQ+hZYsBRcUKKubkOXPpgti7cLdGiHyLH5sL6allMcimkWdEm1Ze0yO2G1qdUOBxOy01KmismWEoWPkDGVe3xAd8NaNfEYI1ZY0HLwlOrFd2SM2CxDaXXQcCCKLh236jQZHndj4vxTx3TnBj6ShaddEgxhGLIQacWYhT9TaVt5FW9Tq3ViUEpEQ1hiM3VohW8Sc9VLlV9j0vV6F9hjXvG1OZj25D1omj4WVxzdrCxIiDNiUWEhHKzXfPaTKlCi5oun8RfoFpHNqwR5Ivp13KOlo2wzBo/LrY0Gzh1jxYl65NywgeHpLyiT/OsVlin0iY4jUpj27QzhICtUGJSqkdMSC3ttdFra62OYhtqLg1NNBfRyx9zJddno71fP6i7iLgtbh6VazwpCmO9Y3t9RaZyPCqV4vHxcU0TW9LlFnRoKd50PSmIsfTDlm7YEeMjoer/82JwhpUqoI207talaPrWgoR2PujrChhrmrVZE+u18+l8u+gkIJHSTPCe3fZmBS+sd6QSsRhc8KRYsPLhSDrnTIn6HVIuJGupJDxJ9QY18/T0xP4xcni+590T/PU7g4mR/eMdU6oMneH5+cQ0q2dzrZXeOYJzXG0D295DjUr1strAOave5BvXqQBo6FaR5+l0ZJ5nUo5gdEpSKOu5+wBFbk3/StcSRW9TGSEnTWlbctuso1oD1pKtKqrFOgSPCqUr2ajveBEh1+acIoKVove20eerAkNVJwapuncuzhDBoLz3DKkIFUtu0zBd44z+XWk2l2KJVdcukq5P02Sp1YMUDtO+NcRJLSJdJAv0ScVzFFoSpujzXXS9z1mnUVJVFGtMocwZTcIdMDFyf/fM9dWWFIXf3r3n935o236gjkIhBBqz4QPKwHK+L1HZ8+/PE6OFfqhF8iIKzMR5bnHV6gIzTZOK2Kz/cD1qy1RpK7kKfQXsxeS6/YwU+dZ6Xrmc3NCQ/LN7BzTbw2Ypt1L+PvqOShnV10lzQmxHLZ4qgvOO/uolebqn+szh3pFrJce8NsKIWuUlinqsNyjRNpa8WEMuRcV6olPKWNS3fhxHnp72HI8jqUIcJ1L7/KeYcF0gjGpJehhPnOYJNwaOo65TO+OIZWLbf1pkt+l6ne2K2pxSCl23IZcRZMDIrGYBeWLMQuc8hxjxNpA/TXP+5PE7USTXClMrOqzVgtKQlJdogCK47ygEAB2vGh3dOwu9rWRmPnv1Gdcbi+8F8dIQR1EPSttjjSPXqHzTzoGUNfxB7AZTSnM00Jutq5k6ZzofiDVjOscwVEJX2SbHdEhto1XXh6fTgZc5Yu2A8U65pqIpbD545jFRvPKwRIyOo8XgsXBSsZLxThc7mhq32X1NcWYqeo6Oxz3v3r3DmUA8znT9jSYYSoJqNHCCqF19RUNWsEhAkbUiSAntc6gPKm1kYiQiTujCjiFs6bpA6DqoBikOo8GvSo1AqRFGPhrPGg0fMEavbZ70IdjQFp7Ssx9n5MrSlSu4G+lN44bGkdk5RJJ2tdViTYeYjHcqhIp5pnpFAmvxGBdUmFUyJcPGeqQqgiO5YsVp9xszpY2Taq3kFpZhguPw+MCr11c83d3x7v4rLdpzJVUo44R3eq3Uwgdygb70zGVeHTMqhUkekGrxboNzXUuJms+Uj5YUJSJq8CLq4GBADdlNaotsXRfLbBzi1F2i1MjKEfro6LqIkawJQxmiqRyMJzTEP4iFzhHJ+Jo52Z6EYTBCZzxP33zJ+PxMPamYaT9FqjNsqqOIo5rKmDOlVq6MR4In5nld0I9pVC5p1vvbWYMpRe/zrM+UA6zJbQN3eo9n3XCqVR6zERXMlpzovqtIrpWcdPLknONhKjip7GzVhdR0YD0utHPMuVDxWfBS1LIOIc0WtxmYTyOxRBCPCMxpJAtstlsdFSfVB9iqLgtTFsR5fv31WzCeeZrorwZ2w46Soha5F8+GWMeJihGLaxG+sUXEjjkiU/PGNk1o6xxd3xNSR+r03p/Dka79O+893//+9/jm/j3bfuDP//zPsWL4L/7JP6FUtW+bo8Zfi6kIlefnZ7II0nd011s+6zsev7xD3v2UjbEcRwfRM8WRbnet06lxxtXKKc2UeWS32xFT4pCUO7j1A9J5NrsNx/2BMc50vcXawOJiEVNi6HqwGlfuehURn073OoUwPSWqv3O3sUzTaZ3MiQgPDw/YPqgoi6zj2i6Q4gwPR6qBLhg+uxl4/e6G57tvKHd3JNPhcsFReXuM+M7gO696FSsE4+ms5cpbtiHg6Xg2ldvrG2pMXPUb5cvO6kxxmiemWQuIfTppM2TcirrnogEyIrKii64LPM8z241ykmtJOGdxRhiPAE7TAXMi50A8Rfqt1VRLOrrdC6rxRBFqMEiesVKoc8W5DieWao1OT2xWWpuoFiSIwGbQqYsRconESYNvpmTUtaSBOmIhOAtVi7FaK8wT0jlSUdtEb9VK82QT1mrgVMmqLcj9SwWfRIgC87GhoyZRC+Rq8WGjIvHenSkTtUVN647CtrdMokVwnjLBf8Y4HfjTP/2a/+a//glvfu9z7p++1Mb+kBj6LYfjEb8JawMgIgTnmeY2mTBm1YgszbIxus7kEjV1toFWKep9XXJCgqcCP/lPfsJf/pu/4Pg8cnN1TSlgXSAVDaAhaUNkm8Ypp1knoW6jQnlr18bdWvPBfnlJkZAKJgOL/y+NelgrOZ157su5UwDQUnJU56T2OZxzGHdFThGTK+NpIk4zr15sMPJjpvGIeX9kfvwGky02FozAbIWUPF463scDp+MjPxEhPzzSU5myoVrlKrsCLinHPCbhbj/yzenAU5kxfU8uidsXW8SCGRzdtudNsLy7v2O3vWaaZjAHjicFJlwIpHFaQ5s+Pr5/e0MXNtwf1cTA3Oo9a+/V39x6pxO6rDqy7Wag2MAxq1bt73v8ThTJC+cJpIURfLgRLvzX7zqMMcpjzirKiaUwbPuWvKaFjEhTunq1ErO2tLGrW19D/VwLIhamqH66qSEABZx3yjmqNH7r2dqrNtQMFqQ1r926ctIibM8d0Ur0bzMU7xeLtjP6uTzMIopaX56P5e9F1Atz4UIZ4z54D2j8wZYUWEUp3BUw+eLhbOd9GQcvNABxBu91jG3M+b298YqmisaNLu9V1uso62elxX2WdvIW5CmnRr9YOtFqmOeTZsa7WXm3Cnm3PHgV+6m/s4qxNLShW707XePjJY/HWQAAIABJREFUSVXbwMUubUGvV3GU1NUKa3HhWBCdJfK6VsPhcGCeFbEuDVlU27WFs7zcq/U8LTANB66CEd0IBbvep6mN0j7mvi6juWC98kA5jwA/uDeyBiJo2Ia9IDt8dLSC1BlpQibRoBanKVyleYA656iZ1UO65kSMM0/7Pafjcb1HrFHLs6Qn84P7dDmXS4teW7NJo9YYY/RzN3QYA0ZVQTjb7tG8IGuaYJXqeQy6Pgvf8V2lLv7fzW95YelJ42jKgta0vzZ6jxoRTDZI44ZL+5cLirw8pwDOqt9vMEoTqqY2pEv57d5bsIra1oacSmuwvXEfoFeXaNCCcsG3uYjLulJooTDl7A++/PyydiwTns8//5zxcOT73/8+8zjx85//nB/95Ef0fc/T09MqIksp4bya/qdcaMZ7jHmkM5VEZRyPEGf6UphPo1pTGv1My/27nKflM3mv9pYUfV6dc4RWyMcYCSHQuYCkuN7fC8q6BKeckbW4orDrdXAaTDJPM7EWEIu3ljzNTGVi8Fuenx+5urqi33quvoq8fnnLy8fKlISn/Kze3DnqXSKyot5qD2bUd7rv2XiPNUULXd/s/mrlMLcAp3lW33bUsrEUBUl0zTGkUvBFGsFNLUQF1cbkWhQtdw5TK6bxgGtruvQeODdvet39anFaUH9icmYuE9b1Chos9AjnKRiWkstVfZ3OujVARLJQ2pYxlQTWts/fAnoWfYoAVTUcpzmr+44XQH9vz+yBdS37QA8gukLWqtSvTKXkSqkTORcGdw6BWhxgTJugOHMOPYopk4p+vpgT7+8fubq9Qpwnp0rXKR3QOp34fszBX6YyyzNUqyIcH6+zl5/98u9zVgLoZrPh9vqab775hpura46HEWMt3mkD6JrwVdeab6PAy/t9/Ovy3HN5Lj9R+3y8jnyKdneJlMcYyVK0oZfz+805s725pt8MvNtuGY8eiUKpGkbjnAYJUWD/dCCZGbEqwNyPE65r9xqygiPLlhhj5PlJLSTFoHeisatHvlS99/vgWKxk4zSx2fQoqKb1zX6///YJAB4PB7pcGZuloF2nr4uziOg6kROd02TFVNQLX+rfnbtxefxOFMlKdGhk+2LaqEXW/0eD/b/zyAka5cKUwhA8b15ecXV1xdA5QlcxTsBrtr1xro22E040wjVP82o27pzTSFMxeFkiTQtGPNXpRlmlMkflPQ7DwHgqgCKETgzGe5yx9H3P1XbDOJ9WtGdoI9BFaLcY+y/K9oWCY4wqW5eHQdoCLtbiWkpYLmpXVFEnh2p03AYLw0KbAWnCMapyUYtAng2gBWPwin7HKSPOUtqDNQRPf7Vh6BydD1jj9fsZIKtHbi3L7EJa4AprXCdUgmvWZ1kpERktxkdRLpMHnDhebq5Jt4bt8I79dETbQoMrlWC0MLOlkHPB94J1Wd0DnIXaYWXA+bqex7XByKmlO+mdJmLoceTYjNmNYS4JnWQob1YqxHnir37xK96/e6SWjpghl4x1lpoiyMVYvAoz6AIggm92gKZuaUo1pTI4YZ6aHVALqViKpDjPkDPDMOCMYYrzmsp3eftbKXjnWbjy30W32IUOU1ugiNONPKdIlILkQsoVmz3Fii5gNeJNxtTI/vEtv/3qC+I8Y5WKT2pF6FEqFoMvzXNGRJGIi8ZNxJFTQ8SXYhqDqcuiL4hVhb3zRjVukpvaXuk/qrrXotk0pLVO3zUnk5bsZ6ipsNiVLSlitZ2r2oq7EvV6Zyq7bqcjZLSJTDVRkt4DVgy+10bHt0ZgsJZqDLFmtYxbSBWi4+v9w3vi6Qg1EWdPTomXL94wtwLxcnPr/NmGMOdMNEKtmvpni56/bM6pZhrl3oqAVKnFsd1uVyTJGMM39+/pfeD29pZ5nNg/PfH//vRPePXqla5HV1cYYzidThxPT6RimFKmxBmTJ+gqdejJBUw/Yk3GnrIinuLoNhvUAadpD4oWGr1Xkst8TJi5kuukVJUQMJNaznmrDhd5zCyJnyUnclQEM/iuFcV5LRaLJIZhWFF2nbxAMIZxnElxpAsDx8dn3so9t5vEmzevOMXMb/7qLT/9139EsR1FevCBzYsdp4Ph6mjURs6q+4dY6EzAO8e281hjybVy5Tr2T89477l/ek+OiezOuoDarLmqM8SiqLKuQQ6k4mpHNcKszr1UEawrDTG3+FqhZiTPBKn6Go2b3jldM40EvNvguy3G9ZyiU06xZMQo+FBSJRIZQRFFHLVYnBSkZLqadJ+Nz9qI2EBCmJK0lDVdo4hZqUS5cflpjkSoLd7zqTKIitRtnalkdRASjRcvKM944edGlmS59vw7p1Mzq0VLLpmHh3tt9syZF41R/9vFdaeUwv500ORG19OHF/xff/xT/vb9e/7RH/yQlAVjPadpJLiAq90qoqfoM+/7bm3olnCkbM4Fkzb6bcFdKAT1zBXumnDxzevP6W3Hn/3xH3Ozu2Hz4or9aeRqMxDHE1fNh7dWvY6ha7zm1Wv/XLDDJdCm99QSHb807h+sdHIuBuf8ofZiOZaWf8ktUICsFchV/60Lnnpzg7iBMk5sP/8HzBQOfztBPOGmiOkdtgo5J3Yh8HiKPE+R6j3h9ppTTvhykZdgHIP33N/f8+7dHV988QWnWSmm1lqMc+QSkaSDbiOVPnTE6YS3wvFxz+7FLd4pNTVs+u+0OP3l+0e6bmToBgViRsX3fNeRSsYZx+2rl2rWUBLWQLAquDbm30ORLGpf8EfAF7XW/1ZEfgL8c+AV8P8A/32tdRaRDvjfgP8ceA/8s1rrr/5dr2/R8Z9pG2i5iIrkOxTty6EIZeu8yfjQ07mWJuYc1tG8Vxs6Vwu1xMZxtI17Wck5klOEmphZuD7nsIM+CcEHRSdLYWzFzpJf71yhlPNDpZ6LuT2M8QM05FJ9uhQXy3dZ0Mm1C6+qJlYGqxBNK0atoSQVONBigSuXbhIN4ZWstlNw5kLlzOp43u4CafxqkQwtncqimgTv1NIltGCEkmeoVgvkRT1QF82lJjwt77mOttpYqWblPZWSG8omgCMMlmE84kwm5ZFSPdSAtwKo/yRGMZRaF1W4We17nHUIEWsM3moTUmrG27PAYUEIBC2AFOjOah+2/J21WKfo6NPTk7oJyA7KEn2tyHC7+wBDqZqgZGmWPQZqNZAX/nGzH6tquF9rbS4kWgAaC+IUqSg1aXCEXSJkz8+CFpv6vdd7/zsOY2x7/7JyYVNVzqG7EIvkXFbEyZqKzTNxPinHv9YWvd5CakpBvGBr49M2xNsZUVFbblw5qyiXQXCL3kD4YMGrokW2TefgiwKQMiWXc1ABZ4eH+l3fN2uxck7/U05+rqrqD63QdJ1DckGVwHU1llwaOmMtUqQhQWfTfotQJaLFePMpudisFGhTNMNJobbglzRPiuiVBBfP5vJvL9Hly+tsUkUuBNiXE6uPj4//fQiBoR94fn4G4Pb2lufHB95+/Q2Hw4E3b97wgx/8gE0/cNg/qaVXcBzjzDxqmtyYwCWh2oHEROcsoXPa0FmliqRRbcuWidgaClJGXGluBSWT48xxnpGtosCYqs1XV9dGUYwi7qd0tmm8RMw32+2KmC/3vamKYC1hKvosGW5urxBr+OXPfslf/fItT/sjpjPk2qn9oBW8t7y8vsZ49eYPISAWvNX1PRidKM3zTIxxtWhbUC1jB0VYF1u/rKmOauuo95Vt84lqz2E4ThqNqsx0PjTbwhFDpYhGva/PdDUYZwADNoDtqbYjV0fOScEkqRQKCYGYEG9bZoBqCYx4ctW9NZWin0h0r1N7U0cp+jkNaAhJc01KMetnbRPRqhsmpXF3c6nNgaoS0eRPjfbW507QvSbTJq9Ff52not7MDYCKJTOskeM6MynNxjNTkdnoOmQt1hu1qTzOdGHg8Qn++m9/yw+/94rbmwERo1arCCYph3tpdqVdq2W/XZ/Fi9G7IrcNua8forPGGNI8A4YxjwTvGboNX7/9hn/42UudzhpHtkVjtqs6K9Wl8ZeKdWdtUV0mBNgP3v9bqPJHwr7LdeISJPngz/XDYC9jLNUZUoqqAzHqpFPMhjHCjKG/fcVwOrDvv6SmSjwdkTnRe4N1lnRMhNDTVcuxqGC2SMaKTnalakCXNZ6npyfu7u60xsoKHhkxGNQqteZKSUXDj4IFCXTOKwWJTGj7rzGOFy9efmvNAyjGraFdhkqeExmYvJCkYnOiT5FcC6U1nYtxwqUw+991/P9Bkv9H4C+A6/bn/wn4n2ut/1xE/lfgD4H/pf16X2v9j0Xkv2s/98/+rhfWZqpl2dVmQbUUk220vlY5nzisUYQL9Ha63l1xMwS22y193+NCJpeZmCdO8wlyIad55aLWVqioSEe9g41Xjq336jcafM8xzdgwKIpqtRBY4i7nRugvGSQKYizPD4/cvX3H69cvWphFWTeTS4HO8ntoBbE3F5uoFutWlNNsjNHRVvN6TjURU2WcEhhH3/coSNYePGlF7CKeE9ZYapsmfe1qMe1mc7VCUeGfiNAbRyfC1bZn0wWc8YpuFQ3PSGkipbmJFA3+qAtR3/frBmivNHvdGKdx3S9eUGvl/uEdCY0RNtIcSSRxe7PhKY6UasnRkqUgzdqvE0t1gpEBqtJacimcTge8q9zsvFIKFHhuSFRdx+2ghXPMqTkhwBxHkELfeboucDpFnECaRh4fD4yniN10GHF4L1ivkdpLA0VVYeWxcYub9bYi+XVcrysVSi44vzRei1BENzvXe3x1Tfkd8WLI9nIBRBOrSiQ1is3fUSOzHyvBa0HsnYpBpjnia2j2h61IM0LOht6Dq5Hx+MD+8Ru24pilUEQRsOKgItzaoK5SuXAgUaTiEao45pTJBeJpwgedSJRS1tG6bdSKImhRgWBaESxo6pwXEFmCAbThMlWbTvcRYrIc/x9z7/JrWZ7deX3W77H3PufcR2RGZkW5KstlbJdVTbstSzSWupm0GAKCCUgIBsz6D0AI1DMGMAeJUUs9QEyQYAKzllqoB0g8JOM21bZx2y47u7KcGZUZj/s4Zz9+j8Vg/fY+50ZFlqslt+QtpeJmxL3nnrP377F+3/V9qM44PMFbqIzUDOo5zvZ8rncDpWSm09w2TTt4rhQF1LiBwzDgq3V30rLYGM6FqlZILSUzN/RGvVC9veearMsx9J7p8Y70eGQ4dCxT5nBtnHhxpixfO0eWYlgo2QR/3gnetcP1lPGdxQXTmWNIrSasNEqJvV/X92Z/5FYFfGG/Ny5w3/f0sWMeR168eMHpdOJ4PPLmzRs+/fRTcs786NMf40PHr3zv1whOuD3sUDqm456cPLvhwP66x5Wv0GSkAamFUg3lCyGY00TOHHYtWpoCLVwhRmHUhXAIFJ/BKX3fczjs6Urh4fGuWaHBwsyh25vFnjZnIG8F9Dgd7TDSKF+x87y+f2tF7LwwjiPX+wOdRijCcZyJN895PX3F3TKQJoWrSIg9vs7shkgMe3TtBrWExGk6sdTKrFByJYaAqvGPS1LozvS8Wi2lUWu19bNUgvdmWVXAaSWqsASz2YvebDtjjFAitPmXBWat+EE5Pc6IQGwOSgsOHztC/yGy+5Daf8isDnHNk7wYJWIqHq+WkhY4F7HiJloD0YRsArmJFN3qBaxqoqewN7cCKiV4siqsoE9tSLCLdCxoKiwKpkPxlBqaaZJRIbwEO5g6gcYvpgVVLalYwmQfqSsFgmoBRApzbeh5UFzzBN83msmzKwsrmqswnhIfPPsGd3dv+cHv/xHf/c43GXaePjp84/6XlJFgWQp97BjzwuFw2J6fiFx0PVs94deoZ/v7eZ5ZKWNdZzZlD/dHDsOB73/v+/zBp3/Eyy9f8fzjDxmXmT5EUrKkVlsnVj2MEOK5OF/BN9fAgLVADsE0M2Bb97tY8iWdYKWLrrXERh/0AS7qCtN3VtPtYIcVHxw5R3zXEWTgxSe/TB8HXr/6HB9PkCaKWJpmjJ7BHwgSKG/u0QLPbz/ki/uGsrfbV4HoHD/8kz/jn/yT3yWEjpubji8fH1lKsk6Ni2iqzGXiuFuoOTMEz6nOEAStUwPclHk6ET589t41/3Z4Rq2FIVj9MM0WXPY4nji4A6dpNHMGEZYEOp1Mc9MK5Z/3+rmKZBH5BPi3gf8a+E/FKrh/E/iP2rf898B/iRXJ/177GuB/Bv47ERF9HwTSrjM/94zwsJ2aVrTlL3yPbaPxHA47hsEMxYdhgLBAKixzIs0TJSXG44mSF7q2YMRuLXatSA7ebIxqv6OGHr9T5NBRVHFqpPY1kMQiixOqluq2vp9VRe69x/mOnK1gWukAK1/2knO5fubLz7X+uZ0y9fxvdu90M0L3MZAb/3R9beWskK/S7N0A8ty4ukCxJCg76VqrxjmPd22iim5o3voGV7X8sixtIRES51jlFTUsYqEszgW6buCwN8/LfT8wtfOPOMXFQDcMxlFqNJElm7imYqfRarskMfas/tV22yrmQd1t4yk0X17V/ITWJWIqXB+COUk07nPow8ZTuzy8qJ6jyZ8+D7NPYnViKe+ggg3Fb7+VFRG4PByt71VV8c1Or5R8Vq2/B1nI288LtTTE+D1XFTOAr+1gVMEK3vVzFWtbs/JbHVAKOS02D0rBNZ6wrhHJAr0zsRpOGI0ZaYVeM5bPRZlbQMa6UOeVLjTEhqJcXNqe0dpqdIKLgTVKvHqPU1q8+ns/KjQ7vY1ehB0wS7Hftd7rEMPm57y186v5YuvFwukun7MzTbf6ilSzqVQ8NHSqFBOAdq2Ae3x4tE1RI6rmQuM8rf1Ztw338pmuf7d1lNphWlqrGHdGnbf36ExvcRlGoqrked6+Xm3+3r62hDgz7u/w4nh8fESq8OVP3jBOv09wnm8+v+HmwxeUo/GHQ+iRYY8PHWV5RDELuJrztpGvB40NAfauRXxXS9CsmaKF3vUIYq4PubJv1IrSrBFrraQ1xGmNsG/raR+77XNv96AhgypQSrbx0SK8U5r5nd/9AV/85J5hf0udCy4MOO8p8wNQCH6HarX3k2yNA2nOH4b+DX3PnOy1s9atUxFCoKZs+wFi7jVa8WIdPjvctU6VtzEUnCc6T+cCICx1MUTVOxMXBSUbZEvX0NusINpCeXyHenNGamVnK5LMPacmi96VbF0eEdCSmz7CNV2LM+ROFdesGqmVihU64j2pifTM+/xyPYHgnB2IN62M5QYkMT73ii6bX7Md5mpwTRynTQRvArNt/LcOk4h5oUcNxvHOU+s2FUrrZAVvIMFhd+Dh8Z41bOp4HHl4OHI6nfCHgSQwRKNJubbHrHPikvtsVKyneb6215yJDpcI7dpdXa8Ye25vbzkej3zw/BnjaUIGJfq1+6MNwQbn7LO/Hy1mWwOcc2hu9c+TzvD5+7+Oy/xuvQDnffrS3WP9+7VbXmvC+cButwfncT5C7Lb1qrZCYdgfGMaF8XHh8eEEbn/mI4vYoQjZDuMiQj/s0YeHMxjo25qXix3EUHwMLNNs3cbmvBNCt3Vy3ndFAgWbc8FB8cFoTY3WmtsBK0brpuRcGCejxPbhL98C7r8B/nPguv3/c+CtriaP8Bnw7fb1t4EftYeWReSuff9Xly8oIn8X+LuAoY5JmzWJR8RavOvgNL3X11fJcTcAjkBl33tudpGbDz5gfz2gWpjmkePxyN3rL5nHTFoyy3QETSwN4Rq6RplonF7tq516SAQFiQFZZvAnQrzBuZ7d8BHBea5vvuDx+IbHNw/AjkRndgc+kIrFVudkcbD74cyxUdWtkANDkPq+R6Rs3KRS2iQJFfHWQgki+Aq70HE/Fx7vX/Lmzefsb77Hw92CBoeWBBha5lsilffWNnZaUApVohXyFfNCVGFSBSqxQCmJbrjig48/4NntC7rgSflEDIGHh4mlnLi/ewM1kacjJS1NQOg5xYh3ERHjKamzRTdEj0vXDD7ybP+MuusMmaumjq23N3znxQs+/ZMvqap0/S3Q4fSONC+U+gFTmTlcZaov5Nau6kIk9D1xMGumKpBba63zsFZXLjrKkunaoQhMcFVKwfmeGLq2sVT6qz2pwO7qmqMIlWAx3e1E7sQEX06s+HJ6TtlzmNCTxYq04oWlWhvSoH5TvePO3OmSZ3M3EUf1ZjkYmyeyFSxG9+h9ty2c1Rm6976rcxWvvW3UrW13CFekZDxBhCYYKtTsSWK0k/v7hTxFHubZDju5WjvWe1xwxqmuStFMNlIyKj2qJtRzqgzO04WOlGa8F3KdURSXOqN3uILXivfwoLYxxOgpc90Oib6p8neht7kRLfnsfZe4QLFoBXxwFA5oFa66Vji2hXazTPKmUk9AKjNdMIeDimMInsyMSkbFDhlZlVADIXhqNTeAmnVD1Hrv8V008VV1zPPIR9cvyB50t7c0tOAJXWeWSVrQ4CxhUBrfU4XYDYTYsxRHwNIGx2m2iNh+b5u8BHIpaFHyBSdx1TeESVBsHFrR6tnf7Hn58iX9oaeUwkff/Aj9Usm7nnR3Am4Q8Xz2MjF/+odMZcSR+I3wMYHA7qpnuO5IxyPeRXKwIivXwmka6fueh6NZfh3Cnm63Y5omBCtKVt4uVclLIojjfmxocxCWcdrcRGxjNU2HNFVZGZXFJYj2GcfTzFU3EFW4G+/ofGSeJmSGT8uRop43X1TmtOf1bImJ/mRezCHuLQiIhDSO6EkK2Qkh2dieeuP8yzGTQrDOYc2WVuc9qlOj7lkoUnUOJzuKVqRz5n0fzZ3h436PCOQ0E53ndLR7m5MViwGxIv1R2Us0y1PnKK6jSgf9Nd0HLwiHW65vGu97bHQ2zaRSNz5oytUsLL2gTjaP+loNADLQxKgitYnLSqO9lV7wOPromYuh+TU1K8sQzV5RFRk8feeJYmO2qIPJbBKdmp2ixNYZAvxS1glNcUpwPeAojWZV6mLFbmegxVxyo6Ssjj6VpczUtArsHHVJ4D0Pjw+2by2BTz/7ir/x679maH63YjnKnBdCH5nKgnSeqSyW/OjNXnblHv9UgEd+GshjOqJCnROH3hLt9h9c8f3n3+MHP/gBX/74z/nud7+LKMzFHDEsDbhDvZJV8XhbpZpI3iMUOXveu0YHPduaKkXY9pX1WQJPDtXrfmBgndlcem8hY7VWfHCmIapYAl/7nNfdFQ/He8gLS6mo83zro1/kix/9KbvDFZwSsVNe373idn9LypnUgb/q6cdMufZM3pIwyzLDVWV6vOeLn7zhNAr3jwsyvUZDJLjAzgdEK2NdKE6RUeh8YMDTdQNLgcnZnjovCcXx+s3de9f80/zavhg7s+XrLPF31+3BmVasVgNw+uiIvieLcsqZ7N8PLL3v+guLZBH5d4CfqOpvi8jf+blf+S+4VPXvA38f4Obm1oBmsQLtXe7eJX/ovZcd06wNFz1XV3tiHw39pLLME8s8NT9cG4SiWCs4F+NBB0/AHlitlhokTi/CC0ygcn4fFeeN1zMMA33XQT2xcpDgHB+8UizWz7L6i87zvKX9bG2RWo1j1hDonz71nTfEdSKtLVwR2bLczz+jrAlqsJ6mzTshV3MDUTFfaVRZtBDUgxM0KwFhuFAHr89iSTNLOpLmE1oyeVmoOZndUOOgOjGxnG8hDForUgrk2Q5CFAIeHzpDr6tQ3Ew/RHJZmOcFiQdEzj7T6700DnjAOY80H9oYwzZm3hlrTxHei/tzaSRf0kJywng8QU2ELhBiBCK+WkrVhVEPxtNthZTaZ/eYqHMt5VaFNgKixdL83OXzeeoScdkl8BcL5fr9RscJ299fjpGfuqSiLJR6yb510Pj2zq1Kb0zYWat5Sk4npjQh4qhaG6+3mmOBQtWlhe3Q+Htm3biiM+t43vx+18+GoVHFtXFe1JT4yROC0SLE2SZvLdiG3LTOi6riu/j+zxoiiCNXKyK77tzRAS4SuZ7er7Xr8WRMqHWJgouIFlIprB0ta73YZ7ZOxtpROG9YzjlOabaNPlrMb6l1s7F8MgbLOYlwbb8CxF0POSO5Bd0sCY0DSHPluPh9P9WJ0va0Gx+nNqQ5xrj9zOPjI8fjkTTmNo6Fop7gPTl6ex/S8zBVhiB8fLsjukJd0vZaqVRC8IzjyNDvSEtuAjhnP+8uXFtgGxdS1YolCaSc8Wv8b61Mx+NmUWc0jD1d13E6nVi00B16KNWcZuaZklIT/iSmJeGlMruRrIHqLDp89bk2mrprrgwtOioXci0k33yF1aFVLbWNil+UjG9hSXYgrSqkxZDX6IN1aJq4ST104ozKs46H0ry5c0WlNLefFsm82n8izGqhFOI86s2ZguGA7A643Q7n45Z+1jmjReRSWqy9x/m+jQfbR6W26b4CBO9wcdc/1zU1lGwdEu+oOVFKJVfTYKhUcIVMxmPUioJQqiPpui+uxbqJWN/t+mxrnYZz9w1H8EIn5iGfFLI6qJ7K1A7PEW1di1QnHB6VgEE+0bqBtfBwP/L5F18RPvkQ8YqTsz/1OrcrZ8/0jbbwDp1hKzybd7qPrVMimDuDFrxfxdaFPjiuDwceHx8Zj0cT0oo5dTnFYuRbQuwggepad1fck+6VdRpt7pzXm/O6xEX9sb7HMzXkvPbaYbQ5OajgxNyM1tdc12aAhWTdZYE5FWoxl5Y1jCSEgNSFfRe38dN1gaUsBAqaFuv6iBgApcp4Grm7u2Oem3C3OGQYcE6ME4wyLvPWPVj39ZQS0zTR7QzBrrkY4JHfL7J78lxrJbaguFzPrmXroYHoCS422qts9JCf5/p5kOR/A/h3ReTfAgaMk/zfAs9EJDQ0+RPgx+37fwx8B/hMRAJwiwn4fsbVOLdqvLuqijqeLPw/60pzRrzZGXWx5/owMOwCpc7M48Td61dM4xEpGa+tcIsBRRlCbOIxxxAiQzTFa8UcIRIZrY5YbUC4uqOWhGrAx4593HO1cpyaWAfOdIvNvxCLr125y6ZUPxedl5PWIpdtwvgsXE4DAAAgAElEQVRmUp6zCUc2HlXjNQLc398/oQkINiF8sIU6BI8W19CvYj6QarwwMXtSa2g5C3BAIdVMkcLNbsdHN7fUaol64jN1rtzfv6WWI/N4QqqSk4lnYvD0XcB7oe9aGMR0NJSrs/RBV2ZD65dIjDv67pqKp4TANJ7Y9T0vvnHLq/uFtzkzpyNRJlvKiiWNBa+WxFM9WsxGrO/OIsh3T9jrtbV3q1FHNuGQCHmZyMvEeHyg6wLzWAhxBwR8toOGw9BnH/p2KKmGLtQW1bpybtsOkdohS3RF+gx9Xgv0qrptfEYjU3Na8NbKH6dpe+a1mhPGZYrXpcXRu1cpiyHIapiOJUi6VUB+UaBDlEqUypgmjo9vSWm0DkDNzGqc1861sRcdOCGpGv++tpbmxgV3SPBm9dT4ptvvchaNXbOzg1OjI6jCOM6oFq6u98QY0HI+GK2Fcvo6EnaIhm6XjHN2WLbna3zQ0EIL8kURv8272CgLanzbjFlt7fcD0gkjo1GxSgGt5jEs4JqgNLhK9KurhxWQ42k2UQkOxeFiZ0IztfWu5GIBErjG1Q/boVpE8PuBuszorMidaR4eq6Ej7BsPdZnpm+p/HU85m5+4l6bozzbnX79+3YQwbis6nXOMxwlRZ5Stlrrpd9dcH64QLfzk7VeIOn7zb/wyr/70D+iAu4d782d1jmHYMefCcLiyVnfXM6bF6EttDkZnCV7Ouc3ijDbOp2nCO6UPFsc9n4y6lu5nU+83+lsX9+YeMSamfGQXO+7v7pnnmaHbmVtJqTg388m3vsGrx4X7ceK4QGqUoTktWIiJne12fYfkylwz8yDQBZ7VDgo8LEeKVvJYmKJsc7DrBnwVltNMFyPX/c7WRkwTstJ0tJzjfM0/WprV2ELJqXGhG2giLfBpGJhLIlcIu2v6/obdhy9MXK4DSAcNTfWqBOeoQZh9sc5CONPApM0bqcCqL+ntkJTyandpwEi3icCT+a6rQs7UtFDEEmlzyThnlLZ8lAZKebIGMp7o7DWjM+qcqDbnl3NRWpoGKEbXcC0TOPsAV24kMxGSME+JXB0S++3naV3BoVm4SultPfaQ0kKtO1Q7/q//+/f48z9/zt/+W3+NNN2z3++fHtidiRRpY9F5j79wmLksIqUadSD4Cwpf7ImdbJ+p3wdCVX7tV7/Hl19+yQ//+E949uwZH37rF6xrigFXodEQclsnPc0mtTmAmIOJCS5tfuQnAJmqPpFlrfva+9Z++zf3xPIu50St51pkvY7zZAzXECgp4+LAi+/8Mo/HI9OP3nKzO9C5wPXVnmksTDVDUHZ9oBzv6fwtyU3MNXG9u2KeMq/e3vHPf/RjTvPC1c0tpzQzLQteYRG3uXetayVV7cCeEpoLvUaCc2jTO8zz/N4l/+rKtE4rNW2uprGqGI/8DKTZa1kXNjS3lvdvI++7/sIiWVX/HvD32of6O8B/pqr/sYj8T8C/jzlc/CfA/9J+5H9t//9/tH//3/RnwsB2knPSUmbkqRhpOxn9jMuKxUr00FuuZyt6EkuamacTtdlprRxUc65UYmyWTCUzp7S5BqzWVkrjwtZqiv7GfXVOqFI3JNpaQ23S6RqecfZRlpY/vp7alxbzeql2XSdFCFb8Gj/16clxu2eypgJVTs3LVuqFZ6Jv74dWmFQrSuwztf8aL2zjfgIRQw9zS4tSrxsiJFbtsNoz2WlzdQmIiHuKUtRmDXepVLfEvs4WjRbrXEtGXaV68zWkZkQTqqm9RjBRZ4VcFhLJvqcqUhsKqzxJ5Xr3Xl0ugmuRvC2c7fJeNhGUlsqrt2/Iaorv9doWJU0NAfJoU4Orms2acdBa4b0KMMQWLhFHoKU91jWpj8bhrk0dbzCMIuTmGLBx1TDO1uV9/jokudba0OgV1rGitLSwG0MsBHHQqzOebk7My0SpmSDmBqAijRsojcNuNn4ZUPU0eLmhy9KEIQ7pPDmb32otaUPHRRXnw5bYFAmsXOLaxk1KM66hvlsr0jk6ef+BwDfah6tsNAXFnEK0rolbgpTzofTdjeYSpdkcU0JDYJ0iweb1Gqtey+oPbGjb2mZwLjBNM2lKxK7Di28+yWdxzfrnyqeHs4DTRMj2rLUd6H0rukoplJQaovV0XbzsjKyfZ930V2eIUsomtjscDnhRM0Bphb9SqflEDYFSEr0EfDwwJUd1EUehVihFGVr89HpYX7nJWZuQzZ0FRts8NLUaKdtzeTJWvWe/35vVW1nOr5czp+NbYt8xXFsU9vVub+Eh1US4KjYIXPAMhwF3yq0QC23eWVHWRgm41tVoh5/TYgjyoAte7Z4YL9eQQ3tejbpQlLy0NFSvjesvxOAJbu2C1HZAbR7CasirlELR3P7NNVO4RiGQDjQiPrDfP2c4PCPEA6kI3vd0oafrIk6UdJpwAfDB1pE2T7StFdqEhC6aePa8DxlNxgD+5tHfCoh5TvbcasaSYTH7ODU3Ai/mTFCKrQegqGt2fdJMx5z5F1BK46fCGqVb1dYtV6WlwFmRiCohCoGAOOiWgiuQ27pt67WNW/HRnqu3vl3pAiKV42j+vVp7fvhnP+b73/9Fbvdh2yPXw+fq1nHZhXPvoLPb/HGX7hEmmHUu4FonTJwafafNq4++8TFfvX7FaRo5zDOlrEDWOWNgXcu5/F0XReP2dz9jXX+XV3w5h96db5drwOX3rnuid0JxNApXJagQP/yY249+gZd//kOKZJZka1OMHpeyUQkHz+Pda/bX3zLbVLFxPz0uvHn7lnGcSCXT7XaMedlSSa1bWlu4SSRrG7PY+Oz3fZur9py+jo98+ZzWrzelS5vXK/1MRHDFBKqC3W/3l0m3+BnXfwH8jyLyXwG/A/yD9vf/APgfROSPgdfAf/gXvdC5SFRDPZ3fvH63FvPP+FBezJh9vx+4fXZtKLImlnlmOp5YxtMmUqjZ4i+d2o3K3sx6Up7Jy4SsFAoUPLjO47xNjDzNLJ0J1MQnokLn20QJgZISKU3kYLzqVdBnmzxbC2D1fOz73jw313ZXQ5OoxtMGNi5qCCvKbPdlRdZWZflahPbdjkTCiW3oaCGlSlBvy3FDoUU8k6YN2cnFkK36cKLiiNcH4tWeq2e3DNc7Skk2ofJCWmaz51kUVw2dUJy5ZDiz36GqFb+qjHPChUrxQq8dN7tAiB3iA6UqpUyoi9AHBgaurw8crgbux8wgAXLEY96xi1oRaZZ62TY8pPnofg1fVc6BIWuRrOXpogFmi5PTwn6/R0vm1U++ZF4Ws1ySgoozCyfnqHUB8dTqqFkoGZJMBG1+mKxWPA2xLNkoCSIsadne1+X4T2VpIhMxoZ07dxrWsQA8sUG7LIrevUoLCJHG61ujx0MLHVgXEh+c2Xl1mXE6cjw+GN1n2INkCM6cFHxbbFy0iGUCQ9+oH2ncPst62fu14nkYjMOnKVsctneoazw/V1B1xA5qDczLyDRPxMMNMcbNfivG+LXWPZ1T1DuzASyJrGLuC8745jT6T9fFrcNzedCstZjjhgZC1+NwzONEjZFhFwi+pzQO52qzqDXYWsBkqLKeg3K+/PHnvP7kE77RRWRXKdOCix7VauMnWzpU7I3rWrW0VnVuVAKLsVbv6K/2SPD0oSeVwvF4JPYD3dA/2RjXg1RulIiSMiVlai48PDzQdeb4c3V1xcuXL9u8H63LRAKtZM32edyB4AIx7Hj11T2//0ev+dd+9RM4vkKdHTK/8c0XjONo0dG1cHVzbWi1ekjlCcrltEW0t42vpsw8J25udzipTMcTIufwh46Wjtpgp/l45DGdIHhKXpi7gf3NNb7vmE4zfT9AqVxdF47LiTd3r3HqcMX8YA0IYTu8iniQmSIOF/e40JFESMtj0zNkQ3sRAqYlcBXqnClF8erw2beUTNu3XKpIoPkl2wFNRHDVCkMvHRoazaQUVMWi3avFMIfkuL75kP5ww+6D7yBhZ0V+8HT7WwCWaWbogtEcknWsUhWqC0iwTlbAhHIV8NGTs/mNO3m3Y7kKpNZYakM3a8oEhNBFcCYKX9MlQxhYfMQ1o9ui5j4CK+VRrbNWEnOjDBrNxw4ptSrTKKCu0b3MReQ4e8KwM5SXiNKKMuegFpbJhKRLtVTO6IQQCiFWilOiWvHs/TW73Y5/+A//d37zr3+LX/mVX9kO2X3fG3UjNgBLgRhNb9EKKuAcMkLYilpbq038mHIhRAN7bPtx9ENPt9/x/V//69zd3fHnn31B30eiWBiXDE2UPTSgyRk3WGgHDtnqZksN3Q41Z0GuJSP+NGh2SSnZ/k3NxGCzZ8x64ap0BpN8jJSaEQkm1qsKu2te/MpfQ998gR/vePzqR9bhGzoGLwxOOcTIyz//EZ88+0X8/gXVWQ3x+ecv+d3f/X85jifSUrh6NrAX4e7Vl+xih+/6rb7phshxGhGvG2jVdR3jdGzaLOF0OnE4HN675m9Mg/Xzt9wJvSiy189/TY8Ltp44cU/u3190/QsVyar6j4F/3L7+IfBb7/meCfgP/oVeVxT1xdo/taJkE7+KqWTtFPP1Py9iqA5R6A6RY5q4DntzCSgjw66zBTJ7aj2ZYMNVChUpHs0FL6E5TnQNHcyIOrwaMuU6h2rHOD+yHwSRytBd4fKJGNRiV/vAsli6XtGKho6702Km3TUxdB3LNNlArI1i4koTVcyAWju1WItcGspkyT1neoZFdpoZf9cHXFTEdag4MjOoWAKYM4pAmiYyp+3kbIsAdK2Ayyvnxwlp6CzidTpxJZUPr/YMzuGdkvJEShPilCUnUgn0XTChmzNUJUhHLQ5xSloaUhvtGfu8inEKaEJLwAUzZ88pcWBH1ZH91XN855GY0GVhrEqvA65m+gGiSPOKUEQMcQwu0vk9hWbXswokWBE+Q0K1/dzq+CBIS5aCMZ/Y7Q+8/vyO6ytnhyQxYUpNbRz6BU/hVC5QEm/v37u2IaL0BsuRa0OVqyIY/7K6y5THM6Jd82KMfOeMn6tCKROomPBMHVnXOSGNG1tRfVrsb1deKD5szxzsoGaR77ohPJpgpCDTyN3Dkb7bEyQx18WQl8WQv7D3lsCYDA3ogzNqiHMkrCiqUimamWsBvMXZ5oLW2CgPNs+7EBCBmudzYd140Z6IC7DoQhSLmk9pohsCe33/QrBTQ+1TXa0jLzsEZ9TVYSIWxxoGkfFhMP9occzV0Xc7Sl3wKEuZWCbHftgBs917dU30mRAnRAbDAjs7mAYX+eyHf8K3f+nb3H7nhR0IVAlih4JSM7vePkdSjIOKOQNYkl8LoihCoZB8h99HpEAfOjQlalbyUtAmjHOYA0vnI3FnQse46yE47o4PNh9adHxW8P3A/es3JDFxbY8nlczuaoB83VLVwHeeKjbXu/5AWu446QQCiUghkVWJwW2IdS3KkguJTJSOUD3aeZZS6HxoqWmK84l5Xj1brSAag4W4UIxxen24Nmpae4bLspgSnop3wnAYGuqp9P1A6K9h8ni35+gG7uqRpVhL3rnAmuhnoqZC8gu1LsRc6MSTg2NOM4NzCJ5ZExkTHCOyHW4OOEJn4ryqZaO25TwTC1AKnXSt7TvYHoW5oGQqzkdOU7OtG7N5gz/7hI+/9W3UCVNXYJjRHOh2PXSBMi2E+URdoO52IBbp7Qi43AJK2gGsqiJBiC5bTgDAOjeKAUFd561zVtXEwmLhFEXO3NiVnlj8wiITeKMjqjOnGymZTiCoR6oVeODIIbKkgq/QFzv8dL11HFSNHnLME0UsaTN1Hcv9PcOwpw89miZOD0e6oWeSSsaEzh4PZGpZUOepwYJ96jza2l8TJYPKLf/0977g42/+ErGrWIjugtQFKT2hi/jdDu8DPvabJ7vVEzZeQjAEdRlPBlQ5x1SM4+pcbHQrNlDIO8fV/sDQ9Ty8ed32oYLDQal458m5Nn4+mwe+L42K1NZzp9X43qk8BcK8CdNWnQfOb3Sy1ddgBYOSnIwG5xxasgkCi4HWG9UGoFQ6nOVDUCE43PzILjr8s+fcTyPDfk8kk8odOw0sckVKmW++/Qnzw0+4/dYv8iiOk3Z8+fJHvH79lsecSbvI6+Mbog988OwGVeXVwx1D1xOxYBlVC/SSzoKgakrGgS+Z6B3druOky3vX/OBMKOoQlppZqJaovGSmyfaj/d6C21KwgDMq5FK43d+89zXf+3t+7u/8l3gJa6tAN9NyOw1JiyNmox287zKumbIfBkOPvDCNM7EzTq8hCLDkmVSycaNIhrD5TLWIL4t9RZFqZuDiLP5TVUhLQcuCaoa6RySwnCb6QbZ2TloWYGdFAaY8P+WFkjL7oeO0mAjBollbileMT9qj8zxzGBqPqrkvOOcukC9pNmxnBexqpu8a7w3vCCKNO630zcnBuTMPzO7p+R6u7RjvhcFHllK4e3xgpuJ3PTmnDYFTjC6SCyAWQOIEBA/OYo+NB7WwLMkM+52z1EPvzEe3WERmdWqn6lqYxoWogf2u5/r2Cv/2FcvbB2K9NVJHrUi29v56P1R142dP00To2dpXG2l/8I033LoT72llrc9gnuftlP34+IiyRlnLZlVUSyGEPSEEliW3QkuetLQuX1/kbDFkJ/lmjXeJbG+Ib6NHiIla1lbfioQZhxq6LrLyztY28LuXdx2pGPq8diCggR9Ca+2Lce5FSTmRSm4pWBUXbXNbuV+xs0JlypP5ZJdiHQTxhGBWfL04VCNahaUEXOwptbbNF8LKD1wHX1WqM6eJ2oIKVjFLyUISiL4n+EBaYHLvb79pcARn6vNSyuaGc/k8RIRUzly/FT1aWsdnFba9ffuWvo8tDc+zWux9cPMBaVk4nU50EjdkptaMOMUHwbuAdx1//MM/4dm3X/Cv/tbfNK7ubo+rBe/sua0BKbWldhqKdaarXB6I15COSm1i2DPCxJpMp/qEX3/ZagWjpA3DYGlljZd8OBy4vf0AVzs+uP0W01w4pRkfK1dD02akCRXY7z9gnDJpXLi6/oAQAvM82voymKBsHMe2SSfTNtTCUixnbjhcoRfdi91uR55bSqA4hp11GtKpmFNMOFvbrTHUa2duc/Fonst9Q1BWGtDu+obxx2+4Px7RrE/Gvr1ms/OaMx0BvEVzb+1w34FpMk1b0OanU+iiJYfFrjPqkBf27Lb12Lp+phvQpvPY1h0KhcaPzol918E8MX3xFc+vHL9x/cfc1hO5dCz5OZKvePwgMKaRu/kR3+3RD54zq+DKguI4xMGs4sqEehMP9n2H3+gXC9fX19bRG63b08ULEVZo3P1lxjnjj5vPMi02uwNZ03CFeVyorN1IRVYff2fr8joGq1ajmdTCNJ0I3jNcHXDB4w4OXz2BuD3fcVqYpnseHu6YiPS+3+ajVEOxPcLD9Eh05qawZNMOaUvBk+CROeGK0vtI6D7mH/2j/5Pv/OI3zGP55poQI/tDR4w9ORdUEsH5J4jxeT6yzRWrR5RhGBoaL20vdUbxat8fQuDq6op//W/+bT777DN+//d/n2EYePHiBTkJ/ZUnJ8BVumj7ZGm+59ZQ0NatOgcHvUs526xVS8F5Zz7L7b6ndGmhKNCEcTFGpvFIbM9+E/2Xc8dn3d/DfkdwkcPtM+b7Nzx8PiJ54vnzARcDx8eR5x/c8Pr1V7jXP+Yw/grdYBPm9/7pH/OD3/sDTtPMcDuQFcbxiC6V/X6P3+83O1LZd8jJ8g86b/74UDgMe0ThdDqx3+95XKb3rvn7/d5qj2a9mpYJzYXdYY+Li63dMSC+/SmO6Kybe93v3vua77v+ShTJa6FQ10IP2zDXwQHGlfu6q5TMsOt4/sEt+6FnEBirCYGOx5F5TojYqdl8Go1vuA50xbhszofGExNc28ykCZ6ci1TX+EMNCS0686CZcZ62RdRpE82obQjTPDOfRvZd2Dh2a6vbWt9nZ4N1guaczdKkIb6XCn/v24Rp3Ld1YjisFV5Lbe0vYVVQ+xhZFfRP2zTNz9OdedGutNaFVnxn6Mm4zMSyUKpNwFKtoFBpvFwvRLqWrGb3A8AHE3CNk1FGOm8F9vHU0OxDb218xMIxppmlZPa7Gz76xsd89uon6JePDCpUZ+pz22TOBem6kfZ9T8nnAtQ3435VJTXRozhD3WLfkZezj+8lR/V4PNJ3Hc5VHh4eOE3ZNksfUQxJcmRCo9k456i6sIwjSGt/X7S+NpS0LXIWfnxe8OyNGaK7skUu6RTRG/q3cj211EZh1vay9ckzvbzWOQQXHDTvKakdEAXWPt/K1wzB1NfVC1wsoLVWxnHZCjbX7PymJZFzYuCcZCiY8r8PEd9FcimU2fjHbuWhbrQJJWWLSa/VPtt6yAIhp0r0zlq1Cqf8fhFHaYdsdebH7cpPc9aAbePdxDAi3NxccX9//6Q9p1rQEg1FS55lMicFL6YTmJfF7Oa8B59t3M2z/W5JPDw88M/+4P/DVeWxCWtd8HTG+4Am0DGxr2ucYLG1Q2DJ6cynW5+Ba7GywZsrgLgnvtcrtetyfVkPYCslLKVEqoVxHA3lDDtOY+arhxGVgPd7nJuJux2lKItWck54H7h+9oyp3MFkjimeivOGDC7LTEmzcTBTIS0LobfwIK3COI5455iTiQOjtzjtnDO+qd5Vlee3z0gpMZ5morf3O6eFw37fgkMmai3kZeb+NBPjhO+tiIl9h/eRTz//gj/89EeU2gqNaocLv3L81ezPVjGt0WKT0fCIdtrbHB2Eg3bbNI2tCMYbJcMT6ZufbK5qgUOhp8RC583WcJ5boiuroDcAmd5F9s7zyccd39gHvh0VffznlKI8zD8gI9x8fuBZHPjw8Jyl21OffYIb9rzVHYWIJ+JDRA4ds0ssS6ELDQ1dMl3fczwegXPnSstiVKztoGXJsAnTH/gG3NRaiGFAnBDcQHDObOTC2plqCZwirP0dvx7qfYQ2NnWxIvB0mkAE31l73bpEgQ6HH3pUr5lr5fHtiVPKHK4Pxh/V1fbUBGPBRQZnwM+YEiq2TsZODBHNiZwyxyUznpTf+Z0/4rDv+Fu/9RtWvOUKruJQ1NvTuNwH14Pc6jC10iA3BFZszFvH1zpBl24KADeHD/jlX/5VSlE+//xzvvrqNfv9noMz56xdb8mOK91CWJ2pDMVf1+zLTuOldzs0kKWBiSImRpMKWlZ+rnXXSim4PuBDMBvPFu6yrn/TNG0uXCLCV/dvCV6QbqC/uuENgZyUQ4L91RVd75jnhV0cmB9e0ecjIje8/OpL3r5+IFePCx2KJ0bHEAPH6d7oqqL0u4FZC2Ue8aglT9bKabZDdiyWkphzxoezP/pP7295Q+iHLiB+QILHRY/3ZjMYQjzXV229Dq2W+nmvvxpFMu1UREsVa3wgkdXlofKz5IjaWr1D19vAL5ZmNs8z8zxv6MHSEIXSTskQGuJkuV8VZz62qqSlGL+s+eiEakIF2yQLBfNRnueZ4zRuvEloAprGM6NaEbuGbgDs94cNRfarsfbFf6km1kjtEOIZWW+XFTzne7ep5ltxVbNNHvPGl7VaeoIsre9zu4crGuUgqcUl9CFY4lQuNtlqNgpL40967xHVbZJWLFUqZ2tjB21Imzpqtc8lJbSugJLUEMWoF3HaHqpUdrsdXTeg+thElpAxt4CVv7QapK+8UhH35DOe6Qzrvfv6MbTeg1IKvrMY4WmaDBXVSnbGa1UsyUpT4ng8mpCwtYiyPr2n67OAdfNo70BMQHc5gkFbsnrZeNaq7Xeu1j+l+bJ648aKmNPEejD46c9jp/R1zKzFlv3ZfqdIS9+zInal5ChsQRtG6TgLXfKcTTCpDorRSqoIqzAQMSEGrm4o3GVKFFzwx1XxWBLXSoNZhUUxBgJGcwHjfY6Z915aTdi5xejKUz7fu3Z06zi5dKC5RJHOY0m2MfRwHE0xLY452wE0BLV0v1WoWxUnNn8eHh6IvqUQrhZ7TZ9weTCG82Hnfe4s2+dovkXS6EPvrgvvHsC3mGjYiuQlp+05iAjjOFM1mHhPC9JQJ3CoFCpCKRUXnOkiWlFst9JE0na4KdvBy4ItMr5tSuLDRsfZgnBKpfOrleXZLaAuyayjpoXY98Q+ILVacVxKs++sZlE2m/hv1w+I88TO0kaTwlQSj8eRrE/TtewgZPcouLDajZgY027rNi5RS2OLzrPab51R+rwJvlTM7aW2LtvK9VVvVAzDj011j5olIAq7fuCjw4FPPtqx05FxmtE0A5WcTywVPhoC08M9PL7m6uYDfCgsjx59/j2qOzC5YuuT2Ljy3hmgVGEViq6FW983izjXxFyqJp4UO+zUZLziJ7xXXxolDRNbN9TWYYCE0wr6NAVORMCtRR4QHLXAWNVoiEtu65Bv1MNqXssYb73rOkvKE7POi162gw6lQk0m0lSIeIoqQYyqhPfUWphzYhGzb5vezHz++Ut2uz1f3N3RH0/kWhn2HqfnA/NaDL/rOrXunZcC36rnebwVsc5th/Blmbi6uuJb3/om8zzy2WefkfNCGCLSr/fpLAQVMbec1bLVgrGerg3r776c76nYwca1EJfaOp2qpbl9nm1TXTB7v1WwrwpOz6FnK0ItQajJQp18P0DXUVMkNyvRGKPZvUZHmRbyPNPvE29eveR4vKOw+r1HswNEORx2BvI03/xIo+tU06sMwfOglcd5tP20pQtf3vd3r9gHoz+V9SDcgt7QlogrW96GZRq4bW9LX0dRfM/1V6JIhjPytxZAtdI2qNXq6uut4NZQiBDNlWCZJ1IdmKaFZTaV8zLPTOmEk3DerBDjQitoWyxX2ymdZ9QJseusRekj4greOabxiFZH7w4c88iXX37JmzdvrH1DxYsho7YxOYa+Z+g6jicbjF3XnRHyd4q6EAJ9Oz2tLaB1cb7cyNcNHi6K5mwDe8mWstT3fYvzXbZ4xvV1AcuTvygWaq1o56jOTqNSlUPouOoGHo82eJdl2gzKCxZoYBSZCDUxl4XH46IAO8IAACAASURBVCMAO3ps6zEvy9L4eCnsURGO80IolUHWYlqYs/krutAR4kCpHbkmZpSlKo4KrbU7jiOHw4Hdbsc8z/Tdbrs3OeetKyHx7MVYsiHdvVsFh+dFZy22Tek9c3d3R9d/QlWzDitaKcmw4JTtYOSDFXA5L6hbEZhzYfquVZtDcA12Wb83N4FjCAGt5zGvSuOwnsdICIEsMymn5lCwo5T3zw0lE0LcFvHtvTWUyAptb2K3VjBboIYy18xVd4VzjmWxDkJoiLbP3lwFcsKrUWnM6QFmqbaFuopLMy4tBHHEYCr8sopkGle65sIh2NhLxfpF3jcVurOomHkx3vKuO/A1H9WSAYUWaazQiuS122JdJEuAWzf0jeqS0tYVWO2GzD7L4YMF/ogISZy1J9US4nBm39RXQ81yMqV2TjOHw4GfvHzJVz/5kho8h+fPSMU8l50Xgjenk+jXorFs3aF1jv8Udadxm33jH2utVhTp2TFjLYrWg/llcFFKiXmZic2VotbK0O/ILrBoQrExOM6VmuywFmMkd5Gr647jeM/9wxtu+zZXNFtyZRM757au1sVsxMZxxJfK9dUzakkMw2B2cE00lZcHiwF3svFlzaXGbc/Mt46ayLn1vX6+4MyPeO0ATNPEcLjm08/+GV+9viMOOyQHOm0UNTXeaNFKXhIpNFcGUeoKwkhniFypBAcd0X5HMB2Ex6gFXgsaAt4HO+w30OOS8lJrZVkmapUGnBjy71xgP3RoVpw6nn/4goFHmN+S5x6vjnq3Q6eRVw8FL46DT/DmJcurl4Dj+PErds9/Cf/R95hdZOkdMmrjJBtyHb0zfUkr3M77jK0t0zRvaOnqPKRO8N6sKqsqSLZDOmp0Ol3QIjb8nW4x4bqF2tihOaVi+pUKVG9rwkpV0VasOKGABaDkxJgTzlv3Bu+Z55lOO2otlNna5zeH3sZcKQjeDDqKImKHlm4YSF5483iHj4XlNPPdX/4l/p/f/m1+89e/zy/9K59QUZY542Oh6kzOy3Y4XdfIS47y2r0NhmjZrlKtq+y8bB2adf9WVcRlchn58Pk1u/33yGXk5cuXvH37lpvraw7Dbju8rKmqvnU2fMAOhBfIsXWbns51wLyQs43XmouhtcuCaMbHHsSRSsaFyODPeo61S0WpG6VrHG2PH/qOZZzwdUFCxF1dUWoGX0lZiS7Q7Q483n/OfnfN8vDA7XN49fLH/Nmnf0TZ/QJTSugJ+ug4DL2tfykxv7FxcogDIQS+/PIV08ORj57d2mfz53X7cDgw5mU73L17DcNAmhdczeDFglpiIKv5t3sX8b4hyWpBUb6LqMCoX4O2vOf6q1EkNyGbtk3HEnnTdrPgpxG6y6uTiCRl8D1OE8eU8N74WF6U42w+p0lhQJvNjXFMc9K2oNCszgytW1pkqneRpI5KQKaRVINZoriO8I1bhqqMVTjWwKwVLYkki1lGLeBqZDmO8MxaAifNnKYT+/2BpJlOrPVhynZbwBctragyYQYiRmUQ4/mKWCKVqvJsvyd4Rz94Ep5ctMWeQlkyWVdFc9hs52i/T0tB2gKZa0G9EHMhDjvuThM5K2/vRoZ+j68LdXlkPj0QQ8/puOA6IfhAqY2jnAqdr4gLDV2y99HFvRXIqVLmwu2VcUfnBEvO+H6Hc5HH48kKP1+4iXueHz6mCy9ZyoKve2IJtsnJROgP9PtbkB4lEIKgLEQE7wztWvHVTj1VIcRoPtFJTZhZ6wYcgfHeg/d0FKblhI8d8ywUKWSxSdVLj8dxn2d773nlrO5IOW2FeXO435Bu3xTkAHXlGldr0xtQWpEy43EgkSKOBcFVC61x3rUTv4mmfBCqZuZ53Cy43r12MSAtHKeo8WYrmR7BhcBUlKIF8QvqeuqU2Ktw63eQC8U1fq+3pMGlGB9anVKd4HyhF0G0WBoadrgy5oNYMpuDLNWEcApDsAjU1AQnXd+xlLUNLeY17aShYFjyYAe5OMR1DOP7+WmpOV9oLob0SjFEoVnTlc6TVVp3yuZpcMLQCSkFnC+gmT5EavEcyxEJHs1QloUhdsytDe2wQs6pJfFVv9JSPCqK9IIURwwDj49HvvEL38RVONaJHTu0WLS33SgT2Q5tI1jmZWsJXnqs12pou1ajHRnKZ0IpRTF2plk3vstJFjHaStcFdnsrZsEznlaOvlBlwGlAJ2eofHxNoSf6j+lipqCkVBv9DIZ+RxlHpnmh3w/kokipLNNMzaU5JljxEDtH393YOHQKoR2U3AHfR0qaUYzCs6QT1VVcb1Z4Oc/U2oRfMXLV71lCpjqPphkVoeuuKM4C0rxvB3yJZM3MRfFq3OCiUKpDXERVSLqwEzvgzZooKLHv6LtIqEa22w8dUit+PXCr/bfXnlyVk2ScWIKgUgido4pSXGUuCqFHskNqwVcbJ85HRoVnQ+C03DPPE1ddpQShx8bxi49umOaeh4cHplJ5IxkVRxoxutRnPySMMze7Z9z3VzzIji5NlHDNoZo4fJJn9NGS9mo7hFtxGlph6Q0dVgdZ6KO1pDVVamcFx5hnm7viqLUgFJwkShai79Bk4SfiM6XAUkB9gLADvPk3pwXvoWexuOUqhBiJLjZK4sToIrU4zNWiI5GoYiEuO8ybN2vC+z3eKUEStY4sTpCgXIlQVDkuJgbc3exJp4TmifF4ZNft+MPf+yE3+wPXL25QN9FJTxpHhmG/aVpWatI8z3TB4RxM86m58Ch+7ey07mSHnTi0zdHcnvGlJ/mzZ8/47ne/S4yRP/nTz3Ai9MPAcBi4urrCp1UM2NDTat0Q75xRA4xJRp7Pcxus8DOHVg+aqS2Mg1Lp62yWt4cDoRWKaVG63nztyZaM6H0A7fCuQ+uCaiW5Qrzek14VKIGbj58jvSJTYZYEMtJ5j2Zl0URJlfHhkW9+/IJvfvxN/vStcN31zPPIru8ZH15zvf82XoUrn9HpDc5dU6pwuL1hSRNHmQhReH51QJYF30JrfANp3ntVbbRPo8Zozahm6DrUgfqKD7YW5XRqUn7z9p7qX34s9b/cS4xfck6FM6TkcqG/bDO8ez2OJ6NTzJkYqym/Z4uxTKmQcyXnggvBVO1S0JagpOIopZKmmRA9oSXqDHLm8PZ9z93dHbVmhpQpeSH4gZpOXEXhKkRqWri6GpiTI40OR2kegJlTmhkn482t3Lv/n7o36ZEly/L7fucOZubuEfGmfDlWZU8qDi2y0VSTYguQRK3Y4J4LDZAgQIC0kCBA34aAPoQIUBAXgqABaFEDRDYHVFezmuxiDZkv840R4YOZ3eFoca6Ze2S+bHEjoGhAorLeiwx3N7927zn/8x9SSgxASfmsTi+NQoBrxZYJQxay/oJGXo5jfRfp+oH57YlZzSvSAh0eIs7lAq2+HMk6tRFYbkhOViGPE30E7wr70xsyO2qpHI8jd7d7tlsIEqlVuLl5xPF04M27F4baOTN5z7lSiglrlnSd3jsbiQSzczuMR1SVvtsQ+gEngkhknMYm+ptJ+QhsvoWGLmPxpfBcPu8yKls4YsBKC5nmEzVbWl9FSeP8oPny3pqy4/HI2ze3lNymGgLFGfXHZwsOCd2Zp7a8r3BBIQAbyWnlwQhPxGKTwUQtrCKYiJYJwVvRopYOlctDbpqtWVsbSmGapu/Oto+evnXsp+nIXAwxWWz/NNsUwNZfIgTHOCauH+2Q6Jia0CfX2j6LoWS5RXOrKqWN+aK3lEYBEz05j1bBi9FgnNZWoD5Mp5vn2cbEyBldrk3IghXL0iwVT6cTj7fvF1zknBsK2cafMVBqJTXOevU23nQNrcl5GR32qGRonOpcZzvYiUxFCQ68V0Ydkeobhx1qY6wsXHE4i3dyzrjo2O/3/OhHP2J3c03fUkC1UZ+W55DgrYhfurWm1r8cry6H58PJ0ZmXeCnEWSYSy5/bOohMp5FShK6zSYE2JGXcH3D9FZteWhFg35PEK0Q9Uz5S5pnjwcNNIPaRvrcI2SmZ+8k0TZSU6WK0YiqYlZNROxzv3r0D4PHjx7iqlGqOGKf7Oz755CN2ux0lGwKGdghKDAuKZp9hmu+YZ6BYxHpG2HVXhC4ypZFUleHqmlw9Xb/j+uoxfX/P4bjHV6M4mH5CCa0lK0Vsj8aEYerMoUJKYTP0dMEamc3Wrw44eU6oVkox1NU0A+ZR77wnl0opCRc6RIwnrrMh7k0qQtXCpnO4+cSj6x15Kozi6bue6bCnE0+QSt9Fnv/Gr5Fq4eX9G47jzOv5YDz2AvPtC65e/ZDH2w/Ybj7jKxc5UqldjyMz5YlQZxbh4JLuV+fJQCJnXtYVi0iadEaKQDIKkTXYNi1MbhH5CturR23PqfhQCaFaglkQggpzTfZaPtA5T8K8lwuCF5vymMbB9pe+7/HOUMcKiFeGfmCcrZG97nqo5oIxkRFHs00LdN4TFHw2L307N43vPGxmSCeOxwNPnz7jD/7gH/Hq5Rf8td/7d/js8+/x5uUrnAru6Vl0Z+fAIjyvDwIpLNfACN/eMrmNRpWKwfM0saP3bDYD0zSx2WxQVb7//e/zgx/8AK2/z4sXL/jqxQs+/ewz7tIdu601yGc6Vju/lrO7+bEH12xcOVM+1nMxpzUci1JJ40j1E1fbLd6HRiszMan6gEQDd9Jc6DuLM3fRJnzOBUQ9Egfj+z7/FbbXT6nHE9PxFp1eUyUxizIfj2wf7dAg/MXf+Qv8ja9/j//t7/0RX3z9Eh+fcHc8kb3nzet7njy9YXv1iNvbW9LJ3GaGrnAdIk+utgTUhKQ3W6uRGq2ve/LovXv+50+2jOPI/f0BicbtVlV8VBP1qeVhdB3srq6IoeeQAnenSvoOv/33Xb8URbKwaJdalyayIqDL9acVyVptvJNrISicppG4kNmlxYaIEdy5oBzUnEm6qOEbpzA6nJ55jMvBlHMm5ULsPOOUCL5aVKZUTvsDebJ0olIxCxtslFXUNuTqPHk8kfWhSrVbx4ln4ZT7xiG5okjL/bkYDS12RsjihgFzKevPAdAQ6uUeLjxVsIfaNdpFxWxSSskED7VkDsd75nkiN19TM+b3TKdEt93w6OoRXswQu9TEcdT2e9XifHM2ukKpUM2KZs6ZZYmufDBxqPfNqcM4j7WJ2eZkn00JKy1k2Ui+yYWT1Y3iTMw3NxBZ6RYswS8XHHhVZcoTqsaHXkVOpVKcBQOoVuYi+NqKLNUHjUupZUWmW4uz8tmqKWXMI7i6VeAnouZpIIKVr23cTgv3+MZzIGICNucEJ5HF9P+9z5VI4/Y15K46UimNumTCVVVs7TeDd/GB0Hd0JZNO5l4gpZxDXxYqA1g8sjYealg4wAA2GqzLgLp9RteCR+SCR15Lpczn2GT77pwVGNWKVydthJsTx/rd/GvE3CVELv2jG8rTDhr1PbVaBKuv4L3pC2ixDlUqVZScCs5bVRNiq4gtRcQw76qr+KXU83QG2mt3gBPevn27Os8sh5vngnMcHKjtd7YBOKpYsfHtz/hwD/wm53r5M/SCU9r+d3lWlqZ5nud2oBYC53Q8xJI4gx/Mw9xlxDvjVePxwYrpqmoaAWG9e15MgLiMnVPJbT8p1gSJRbbb+7PXOxwOzF7oO9+oREatWJ7L5evW0viHStvD1UKehEbVKcg0MWyfMc6F4zhTir2XbLnsiJS2Guw5NRStfXdtzGtiu8h26G1/aDoM71s0MdYwllXwelF8lkUMeo4KDiEwjWML+aAJhyPbDrZV6UqGClUtcEIN5CenCfFQ0oz3judPHpOKkpNwe3vP6IXKCPkNMQmdu+J+eMIpV0rnzZlJTBS5hkYJoJWaa5uatnXdtsqF6iXU1hBmaywbx7kIOAmk2Uo1wRGiEqPQuYCTwFgKzOb9vAjNnGg7z21yWWvCcW76XLBwEQsakuYwNDe7SqXk2QCkohTgcgeobe/LtbPBTFms6bwV3iGiPuCcTUN+/vNf8Ef/5Ed8+vHH7DYb7u7uMI59ARYAqoWtcOYirxqc9ZwxAP5MRWnnSDtbpskoYotuZqFvfPrpx5SS+MnPfr66XC0N7SVgEySsz8jqZsOlTqHtN/XskLQKdXMheIcPEVSoFTyhgQHn807VQJIQAhWb3BvdITZ+vofg6OITfL8lhXuycwSX8UyE7YajKs4bUMdm4Ad/7jd4e6/88d/+Y+LmiqdPn5Jy5u3bdxzuj3z62YdcPbrhxYuv2V1doyR657m5GqDa+56dCZqzJJtA9O+3/dz1sI0Dj7aRVDKHRgntu8Cuj9SSrHmn0mumc5Fu2wOFt8f3nyPvu34pimSgCQFskdV6KeBrf/9dlQAw58I873n58hVXu445nbh2Hd3Q48T4OBWLwvV9xOE51ZF5nEh0jZsXkfXn8orOmYDMRia3d/fEYAbX01w5jDO+c3x9e6BIZD8WShI2faRqJmsi1cpUKmOupNOJKSceP3lm4oRS8F1nEaJNVNh1nfH22gZmdnLnz78Kq9rBGGJPHHp8DJRsHs1CoCxdZftvfQwrL3NFnqqNuTVbslRdvoOScWr+zC++usWHr7iKmbdv73Ba2fbCbtjhnRWxwZmX4+Fw4O3btzx+/NjQgdhxHCcOUyKliShC9ObTGrxfR5e+cXXLnCyuWoXb/cS7/WjqbW+opHOe2rbIGONazC4CFVUzzLfEtrOljzaUxzmzF0vTaNZFQHCQcyGnxJyP1KqAb3ZTFjBRVSzZCnA1tHInP9icVBUf2jh2PcSVZeO9XL+LO4cW45CnaoV/dB5HsaZClEylb3Hty/fonGtm6AuXXJsI9dtXzjNzqZR5ZLMbcH0kHS2t0Dln67S21MiihG5L3Qq3b1+BCofD0d5vq5+WsV11hhp3XaBXGsoztwLeRoHiHcdabGxtlTiK2TCGEPBiPrWlFoa4WalVi6rcapfWVKh5TaOOu+8YvQ2bfo3FBjXRqABdC1aYEzUXfLOxE2+uBrfjkejBNb9gcREfE1vnoLmQ1GLiLDfPLHHjdSmIWcb550MfYJwnXAh88cUXjKcTaZwYvKNrBVQpZfXrWQ7IB9oDFx4IDJeGfVkLSxO43K+zjaDRNy73zrNy3ewgLznaMUa64HGuGge1k/b3kUKliwnVgPgOH82d5DiOTElIeTYBU3udWitpMh/jxaJR3DmkIWtt/r3e9BrexKkpJZzU5gm70OuWBrq5c8g1ugATTum6ADIjonSbDofQD1uKDkjYogQTAM6zUWCsX7Jiphqq60RtwoDQOYcXx82wYbsdmiBWzUJUbF2VUqwIBEqw1kCSARWGUvsWSFQZx5mUz0mj4jyb3hP6QH81sKXwSYi44x4JkalU/MlE4nlKdD4TxDEe9zgHITp22x3f+/g5V9uBn97dUjOkPMHpDUMtfNx/ziSRVLZUoPdC0HMBJ9Ks7NxaFbeGzwq/ThziwEVPERMaeotFasJc0Eb7ip1vPHJtYFDBSSCrJXpqbQm6YPuNViSYSDNsunWSlXPm3f07IoFha+Ep0oKeqmZcLRznA8F5XLBJTFGYqjk/BWcN2KKTSS0x1Wuhc4IbejZd4Iuf/4Tt5pp0OvA//4//Kz/+wz/iv/5v/iuePHpMLglfnXGCm1uTiOCbVmYBroZhaBHYtuZNBlRaE3imW4QQCERijLx+/Zq+7/nggw84HA786q98zmeffsLd3Z6f//RLPvqocn1juqdLelTQxXXFHGbA7PngXBddahcW4MiKcSV2W3w/kKtS5sRu09N1Dh9ktdlVVbPi6ww4G3aRlD0Vm6DItodayGEgbGB0Dh8G+s0Wz4lhF9A3B8biubp5hqbMb/72b/GDf/0vMpeZn/70BT/5yU/w0fP5h9dMeeKwf8l2O/Dr33/OaX+iDJGoUGRmP90z1pleW8NQoODJ6f0UuzpNjYOszHMmI8Thilwto6EWtdyKnDikO4bujk++t+WqF/aH707y++b1S1MkL4fEctDUB13Tt1GVB5eYiObrV2847IV+yGw7h3Y9pdjNytUKFu8i4tqYvCpzMl7oph+a9ZQdfHma1sMrNWHPpvPcHe6YxkRRePHyluQns5qZK0JPWYIGRE0IgadotXHGwjlaFmgwdMT7s3p6Mau3mN/LjygP/lkKw67riX1HVaWURBWLBb1Eq+d5tqjeeraLenD4qkWnLuNmj6UKlVL48ou37PeV738YrdBV5RRP+G0khMq716+5O+zboQbTOFNyxW+CiYJSodSJUhSVxdPXUodKSiaIa+/xeDyijMzV8erNgbfv9tTi1/fp5DxiWpTEl8WJFT9qqLrWVlgbx6vUhw4pS1GxrLm1ixeDcqRRGpZipnIhoOJhw7Y0Ld3i2t9+p1NWi6QFVWHdoBbrP48lmzQkZ/2O4eyu/PA5WIvwZbPE875LdYnXhSmnZoNygW5fiEeDBHAdPgi52qg0RBsDrgEdF/x4ddqQqfZ5yuKgskRYs35X0tDmBfVbNvTV0YH2+UujWWRTaBMMfy11EdP0NDPN92wBTTTUhChbGbBYImWJPNVQyS18JQQH3jGNE1EjiCH8SkGrEMWKCVXIlSaqs4J/uQ+W0Gf+6otoq1ajGohz5u07mfuJGGmRcIE2279UG+E2gFUw1NvAeLeiUSvVRs9WVcCDw/FS0HOJMp+/a3tPRc/e7rX5fxujWfEhUufMNBYKCe9nclbmGWrtrMgJjhg61M0UMd68Fiu4SzqnjIYukpqd5ZySNaox0HkTzywWl8q5oRW/PIfLnmdNkmL3sIit49gL6nt89Mw1UxQ2u4E37+zfsy7+43X9naIOquC1NZ6qFlokwtCoIl5sHUqwYskEbd4aMFeaa4SSmgd9KRVqQVzAu8Vr1sTiyx6zjQPBO4YhItGohSWbwHVoHrdTtp/zLpLSid61yGAxGldJmXQcGbbXXF9f8+h4ImnAzz1SoIsTJb9j03+EOodqsnAPvXRusXjuxTu3ZgMKoi1nS7OsRkvJ2hwcWoFWqjWKIoHYXBiKZrR6XHC2v2gGXBu42OZg605XC0SjxD3cw3POBI22QSB4WjhG45iKsz2dWmzvURsA1OY8Y8MFm+qKs+mFk4aIC4RW4B72dzaRzIUvfvoz/uE/+AM+/fx7PP3koxXtXc6DZT+5nEqqthAqW7Tr7nwJgsjFpHgpsJemNIRAmka6YcP3vvc93v6jP+T29o7t7skD6p5RPWyCs74uljR72fx659eC1zlneQRs0FhACuJbLDP64MywX3G5VxjVcBh6XKrMmWaN59HSXJtwSOzo1TN4hxLoN5mubsnV+MlVjJ/ebzz/7r/3b/PPf/xTxsM7xunA1dbcMd6ejgSXuIoRl4DQ4XJm0MrYOO/RB6pA13eI2HT5fdfXb98iOKasTKmgPuJjheJJebT9oiq5VHIqzJq5Ot4zzp7otu/9ne+7fimK5KqVqRxAzcRc1ZwVkEqVDM7ENd91Oa2M88Qf/rN/hlD5weffZ/M0QZc4pcwhT8wlEXJBr3ftgBNLHqpmJL8ZOh4/vuE0nbg/7cnZE8RzPEz48IZnzwLbCD999RU/+/oNt/cz//jHL9if9lxvr4EdOldiVU75LV3sSWOl6yK7ENj5AR0qXS7UcSaFyZKUkBbe0GxnxNLPPNJ8ORebpGruGmtQhy3807jnw2ff5yc/fkMnA+MI2kZLWRUJkQRMpTB0PaGN4LVUSrLGwUmlnEy0UDVTneNuTNTieHu6pX75lp//rPLRB4/5tU8+IOfMdiscxPP6i68oKTHnzDRXcu9h0xF3O/AB5zqcHqAWhqsdV1c73owTm03PaSzkPDMcj+xuPO/u33B7N/Li67e8ej1xez/j5TFV3xL6yHHa0++uuN8XNpsNH338jJQP7HY7alWGYUPKe6JzxOBaoUkz2S/MpwmPcDyNdu9OJxNRhIhWhxw7OlforjxXT665utlxvO/MBrCYBZHMJygV7eKKJggQvaerAd9FUi2MZURb7eoQenGE2GJNayU4oVajwXRDZ0KINBL0zEnO2WzPRCuUTE4jV5uB3KwKRYTY942j/O0rBY8UoyyUuRUfKjAMeLHJg2hBQ+UuTXjpqJ3jaueQqfDoWcfxOPLqLpFdYBq2FCek+R7JUFPimA3xitXud/AWyb1PE34uF+4EYohyDbjsCHh8ozVNC1c6GFu0eCjO0dWKy1ZweyeMOhLTd9CutB1ordgp7bCqbV27bUQVrgfzQj8crGHbbK9Bo1mbCZATTDD0vfmJqnJ/PNCFsCLq73npNkbv10P25iqCBl7+4ktO+z3HvMd3O9R78pwY+p6M4suF5ZSzBsP7jkShGg8KXSy6jicTYMUNiDKXDM0vFgHXe6om3KlCbjHkFEo4H9zzcUTmgh8zp5dvGad71JvwNPgBnzomL1xtM+ojR/UEp0QqUUCKEHXH6e7AbgjMJXPY3+KoaDXbKcVTnXkiG7qX6a4CcYhm/1jh1Vdv+ODpI2IMNrYukzlO1MJu2PBoZ44101KwpuadOofVTq/fOrIv5PsJZeDN2FM48e52z3QSHm1vCNxywOLeXbXmLjkzZdvEzgqDhnY75+gw6s40nbUNWu5tZO09m2ELOE7pjtyAgUxzBmrg1JyMytL3vU0Go2cIkcH3pCnD7JE4Mt294Pku0qtnngZqcDz/5Hsc9rf8/Mc/5NFu4PnT55RxZrftEIHD7S2b2PE0bDgNkX2FoMIHoeM4w1W4Y9zeUNVT715Q4jO8RGtg25kSluarWvFRq6H5vu8RJ8zz8bxeln0D2298rRy8wFiRqkQx9w3vbBI5V5t8qhe20prR5oojrQmcmvvG8hpXVztOp5FcKkEKsevRXKkp0fcdm01PGe/wLpFrT1DzUi8qMM+2N98Yl3ZLhFpN61BhCCYM/fTTp/zJz+8Q6fFPn+Mc/O3/7u/w9Nlj/rP/9D/Abbd0H33ANCWORbl+9IziYNMN9I0qcZwOBN8jPlAW20grxdfPI1SL5CagDShx0FEykgAAIABJREFU6rg77HHO8Wi4Zh4n/sKf/7OMh3t+/OMfc7i5tsRKtYhvdVCb44tzji52OIVTc/l5QLMqLTfAbEYYrq5ZXHoWQK0LTbAs1dx5EDpntonJV2qqSBWufM+pzvhizU6KHaVzZFFKBcIzyqZAUIJWpuM9jyRBfMLtMbG5qfTuisSJ3/zNP8MPPv8efXrLiy9/xv3+Ff3QQbD3v79PvIuJ5HpOp5mPP/6Mz+Nn3N3d8eWXL3ESefrkQ1SVw+H+vftucR1pLuSMNabzPRsZGPcb7v3RsKy80J8qfRCu7w/k7Hj06Pr9m/l7rl+KIhmae4WyFskeb+OxhuZ8V6oYwHQ6kUrCdaAlc386cUgRmTvGtmFpO4wOh4NZTMmZm6zOku6Ox5E5z81X2cb4x/GED5CKsOm2+DCg1ZFS4fb+1kaSLuMcSHUN+SiI4wEPcOGvlnTmBU3TRAjdt1DiUi/z4h9yiC7HrdbRuosxpYliFrRqQUuAxr898ygFHhz6Kq0z1tbLi5oSvf3dlDJ3h4n7k6nvD6fMSdu9bWOmVAs3N4/JuY1OnfHstrsepJDzWa0/TWlN6AIbiYfQ8erVF3zx5Svm3FPV2XgvG5JTS0N5qsV3LzSMS4Hi++6btEQlawLOiKxzxvJaedHR7IdyTqRkHW2gUORs04OPD5EvOa8lE3Bp4/sZsbJir7nYd9lrndf88r6tMYQquv69xxqa6A39XdK8RCKyjNQvXv9bzxSGctr9sT9bx3NtvI0IUhJBo9mo1cIGjAvuCiHAXjLHnCkTECIeE5sFsbQp7z0u6zrKVtRU1+4cRLJ8HyL+jA7qwj1tQtJaLQwkeLPd8s7WY0OivSzB4u+/jJKQ15APBZvIwBrSUbNxUo3/bZOioMZtrBhiTAzNes+Ky77vV47t5fe9iuXk4t8vkFzvlySxERFv9pLFXDeodbXPaoD8ed1yHnosz/DlPVxQOADKEj9vnqlBHFmW1/cUzs+FrVlDOF++fMmrN6/ZbJ4RuoGkjfqgFuJRk0Vud94j5CZG6qjaIWVqBdT8rTQ7VFbLpuXvQgg46R6gi8Oma0EiRmMKoaM6Ezx77x+EG9i0aF6pTN75FSwQMYoa0lOdI15fM6UCTpjbfhO8Peex0T6k2jO5BEUAZyHzhaUeCnku9P48LTKhqaeUJsxtz+Dltez7y7qJ0Vt0+xqbXg0pjqEJChtNLCeqZmLnuX50g6uVKRe6rqeo2YdORSh5BOftWVILN9Iy4WIBLaTJQBK0s3PvYoKmamK9S/Rz2X8WId3ln4uP57MHNV1Csv1a1nWqq7hMa0NbEQu/ac/DWkRe0AMuX+tSgL0goz6Gs95C4ipmthGWMyegGFBXDfhxrtGzrCB3PhKd2QQGiVzfPEXdyP19JpeZcZx59fIN//vf+z/5S3/5d9DOCu/v/convHnziifPnpoNoVbwgrhzMXzJE7Z1uug8Gg2qobVLSJNU84FfaEgLBeN0OvHV65dM04mPP/3oAVK8POtLbbT4OF+eG5d6JeV8plzez3Ufacv0m+eF/awl5QatnE5TQ82dOWCIUD2IBFy1glswZwm/DRC8TVtzgZyRYL7hoR/48KNPOJ1O3B/f0g9b+t2G42lvVMLdDZ9+/CuMp5nnzz9iGLaklLi6/gKRwM31U6vZjre87/roo+dGs0gti6Kc6LrAnSbuU1vX1dYsUvA+stt0bIYbTtO/YhZwQtu4aoEqLEMXWQ8hoep3F8mb0BGCJwVlqvCL1295e/+Kx9c3KIWhoQTzNPPVqzeW9rQ11ek4W1f7br9HvnrFYt/iRem6gX7sefPuwP2xME+FV29eIr7D+SuGHqAS/GAPi6+oOhvLQRMgLQfcQ4rDwjFMmlYuJiyxwwotKYaWsFaND0G64OR6Hwh+w263I3aeygEXlOI2NmLQiium+BfziyLVsooLajQnD6NKmHLWO6G6YKbnpTBlE9EdtGO8HRnTV/Rd4Id/8gWPt45dN+C9Z6yZsSTyK0eaDuzfHPnww8ekNJHKnnFKvHl9x7Ddsnt1z+l04tluZ8r7/JIuvrEUsBQ4TkJ2geIDmcwmXFOK0gXjq22c57PPPqPrOhO4NDrDPM90/bK5mNBOoEWmts2g1JWiEWO0pKnZNq4cjQ/+6s1XfP3iJfVUGNxMRqmuQ8Wj/YCritTTA/pMrZV7ndg0ZxIRKxhZNlWqMTm04tQeu4Vra+po43cXFBeEoLAVTxeiiaVg3YxFwKva2kiLovvb11yVnXPWSKxFHOQpM2lmOww2RZgLMSuMt/h8ZHP/FYOOXMV7ShQeqXI7w5c5M+bCWGwEXQtMU8F7wFvKXsQRxHPVbbivo63zC7FdDDsAs3psReimcRSn2QQ6tdifz3074Gw3YCtC+Y4dK2crEKU1KF2jxGgrhCWVRi0CcAxxa4jLmIgpMzeKQ/WKc8I4TRSabZZ3VrCXh4f9cjlYY7ZFhOjt3vRdx6tXX/HP//mf8K/91p+jTkdqOtkBrh4pEOPGhMVLQ2UEUtMhGOhqSHHjeZaipFRas+HJJZ/3ksVKKni8gMvtPZdCiNGCINRcd16/fo2IMM5CoJJdIkQL2AjtM1UtbeQ/k3OgFE+aZ2LTbJiIDfMi1QLlXEguB3UIlqx3mGZyUkL05Jy4ublmmmbEmYrfeRMQ3+8PzDoyBJtA5FJI84TP1Wz3VsGcI+dWpGaPBqF4j4Zr4mbHZgv4vSn560QQxyB2DvSdX6k/XYgPaCla0oPvV9VEaCKekjP74wnnzNFi4acv7iuuifsWBPlM15uYML6+SGUI1ij22w1aj3QdRJ/J+cTp/hYXHb/667/B6f6en33xkmHTEaU5KfjIXCrqrBHZOmXjBaGgeU9IR+Q4UzTiu2dQxtUDWkRAHKdpXgt52zutZVyFubDahRaX14ZrKWDjVFgSXH3b51yjdZkVHgjW2Cz3cGnsRMQCkVhoWmUNmHFi/NOpnBqVbqSMSpFAcD2lFPb5ADjUtXXnBXWOPNr3VpvWRlU5lUIORgXAC7vdc4o7UJ3nuL9jJ8p4OvJ3/of/id//v/4+/8V/+Z/z/PlzfvqTn/Ds6XOO+3tKjPhwjVdPmQvaJruhFcNeHF03sIR/9O19SrXzZUmN1FSQIBSX2vnj+OyzT3j69DH/x//9//D69VcMG3tWgDX1UNUKQI806pwVu0vBrmoNSWgeyNr2+G9quC4L54V+ttA2nTOaaYgRiRYBn2phzoUlgThXMzrQItQ8oc4zXD/CX0fmzlOKwx8nNpsjuu0p4qEL/OZf/V2unj/n7f9yz4uXXzG9PPH06VN+89/4Kzy6eYYQOB6PjIvTlC98/uu/DgSC78hlZjhGePlt3c3nn37M8Xji/u5EzpnXrxPH24neVZ589AkpJQ73R6IPODKuZlyeuRrCanLwL3P9UhTJyFnBuXI/v9FpXnZY37xKO1xsTC3Mc+ZwPHGaKt45NjESnDBXmKYRB+ymTNcHs/lC2e9PlovUPH6Fivcz19sdoo77sSJ47vcTfQ/SBGV9Gyfbm22RvbhWfNa2UTak0JmCf+E5x+3wLZTYNoulG7aHQJTGM5MVaXdOWTpX4z2ZQjdGz5h1ddGg3U+prvEe22ZtEuB2b60zF7FuERHENw6bKuIhq6No4faU8OMMeeZ4FbjqTTxXHMy14IpFX3795p5UMkol5QMVuD8l9tORdweYxsR0U4neE/29xWCK8O7+iGoHGhBn3p1B7dBXr9Ryou/juplcIhG2GZcmerxAcy/W0qJAX9bUJTqvrQGZJvObLEXNHMkIe+u9XKxmzshwe43GZ1TncO3nfEOrzzzjC37yes8NcVgKPHEOR8U5XSNmtQniUjW0a3kvS7LQd17aFOzLg0ZT/OfCnLP5pJaKdJ6aT3hG0BNOZq6DeY/mHoYAaZ+5HZVAQAok5ymdBQSMxcJ3aKjH5TO7IC+G3C/vRVlU5HNKD6grCwfXhY4q0oRRrAKk9121Yui4s99ymZr14HboWRm+HP6+Ks41FL+9v4IVOy6YX7EL3opOvoHOwFnF337ngh7a/0ZSKvTdZt0TQkN+l3fmMMW+cbOtxKhq4ICKrMXy5WdYXjsGE6jVantdzkZPW2KvS7FxeC0WYhG80A0wl0yulX7Y4mJHLlY0TmmkloGdj1SahVkpqPrmhZ7YtAIrTzOKiV4pFVGz2QvhHO+7pHnRkkOXdVibV/0yslZMNGb/XWVuYUw+eLNac20fXECD9t8hhmhrifjYoX6DBBMRp2RrsiQTLapcrkdrvCj2e7yzScNY0hoLvxaHPJz0LetNL9a1tu+vVm1WkkKtNj0rNYGziWHwwSLtNbVmRPAoIhXvYZ4OSHaw23J1fcOTZ4VxOlpYkSrvjncojtg7PJbuGBvVoeQDwZ/YbDAqQujoyGRtQUj17Lm9fDdwDpboOnuP83wO16h6/owPHja7XatPd56TNXiLXqMo4SI0abkWhP4y/2CdpLXQjlJMWBycmJ5HbcJVijYk3qwKqxaqb1Na5x7sx6KYf24xsIQiqDiq8/h+g09zMwswGsr+duLv/vd/l9/+7d/iL/3OX2F/f8uTZ4ZknqbJzlnnLMDG+/X1hHOWg3OsyHHN5cG+fNkoXIpu+77ng2dPORz33L+7Ne3TZtNoERf37+J3Xe4/S6OW65l3vNRPl2vWOUepuQETZ6FwRVHnzkcEtH28TQmcIkVxtViRXG0t2U4emJ0l2YUCuRQTadaABNOBdcOO5x9+zK/+ym8w7K6IfeDxB8/o+i1VIq4KMW5QtZTBnDPT0SZfWgpSTS/1vss78E5BE4JSc2U+ZfaHO77/6DlIxzyPdNsNooluEMT1/OLLr/ny1f79v/Q91y9FkSxK85t0ZjcAUCyW0nX2Jec/pfCvTWzkvWc7eHofeHcY2B8LtWZe5RNQ0b4l3VUlHI/EuCB6ypQqqPkS56wIgaoz/eGe4AI31xtcHYm+xyP0wbPpdsZhJFMFy45XCxIw2yBhs+0pJXE87Xny6MpGxm2RT9OEa0X5giavlmLV7KgW9OTSZ3c9nJ0DyYTQBDnlQMqJsXHAloLcYw4PKmJOBC1KNDY7JrPxMoV2pSn2mw2X0Cgj2VKVSs0oEPsdr6rw1ZvRQiJiR9bKdHxHPxg68/J2oWYYL5Q2Np3SCe89P381Eb2w6zuGruf6akclEYcNOimuFKKc6KIH11PFcXs38+jJjXmuOjtiUkrEIXD5pNsmUBsFoKFbpVIb3aXWaulqqqu3br4/UiXz9ZcveP3mHQnPXCFTyWRrHJqwhAsxx/JdPBaj06jVKLavebHvMickGL+2yMkQx3gu8J1TcvaNl6qWHoWSp6OJWNWZpzdKnqzrLvzpdIutRqN6rCKNRs9xnm7orNgo2ZTU0zv08DW+TMh4i3i4+fB7BA9X+1fknPl447g/zPz8LnM/Z97gOElk1koNARXhOM+4WkizUFoUsTSusHOO1NKtvLdIWEMC7RAemn+2ZismjzojzllUei3onFcq0bf2kEYpmSdLm5xrXm2XnHOr5ZV6G73NOlJyJXaR4gMuBKIzxJ9cGctoriHVVP6plDW05bL5BMjjsa0za6hyyZTiOR1ndtvr1nBVfNdTJYIPZPUkKrEsBVmjewCL37RrnufFeSpCCR2tpLMC04baht61oi+I45AtZANvCKFUZUyZzdWG07jHSeB+v+f12zcM9Qlxs6O4rlHcAqepoNHsAnUQaOLiGAOEwNAN1FqZq1kYxmD89JJsfRmlza883xgjxZmYqOTAMFyTJqGSmJoNnVFkHE+ePKHMidR0Az4EnECntneVlNeD3Tzus03LNgM3Hz1nPz/nFy/e8MXLl/bceEfoO+PNNvqDxA5E2DS3lgUlrbVyPdyshf3SjJT5QC32ffhoUwvBKsDgPT5aCBaq+GA2eUoh5ZlcMj4ES9vLhV48j33hk1DYlZnr4CmnI4TK848e8eLtWwrCly++5urqio8/+ZB5PHG8f0PKmeyEVJTr62GNyw5d5DjPzNNrpnmg234f7woHHEOBkgtzyYzN5zyoEMK5GV3XtTunuS0pfb3EByN+VaNx5WqWq4uQTdXiq91iC4ntucteC5yT/0o1wePy7Co2YcMRQ/Mir5lajNdfa+XU3nv0JnQOZWmobD0UZ+23VNvvQvCIVObjyaaJwUKLJAxIqfSbGxN71ZlnVx9xd/eGH/+jP+JHf/CPefGTX/C7v/u71DwRN1u6eaLrBp7dPF2f+7NQz0w+gu8QZ+J5ENQ7klZLS3ULxafg00jQQIgbC67qA7/553/A8+fP+Pt/8A/56Z/8hKfPP2C42rEdhkYba7Z0sbN7o0YXmlM6a7jUnqHQqGpO8zrJWc6Y2oTs7sIR4BIwyjkbF9opzguDtyh7zYZm349zoyQFfAjMKiARr8HOotOIv/uaXbkmPHpqISfAzbMb/urv/Jvc3t/z5ctXjDlzTBlfhXR/15qxDFTqPDG4Du8i0zSZr7Yzp6FvXlomvBSCK4gKm7ijdh539SklfkIJju2zj21SUkfUFfYauJ0P+Jtn7z1H3nf9UhTJCx/PeD0tr9uL2dE0hLH+KUiyeAetIw0IVKGLOxITVSKqE6DM2GHinICDVCs5z4AjV9ciDH3jlnq8H1APRU3tG8XhOw8mh6HWTOdaYSy19dQXjgEthx44IyqNT+tiNBrJhTodml3bN8bntoE/9GJdokRrNZQkRhMmzXOmRLOVuzzMq14UVLo8WKzzmQXhtEjqCs1mbNkQYuPP1Wxo3Xa7YYwdab6FXKlEBKXbFEv9iz2nGUQq+CtymuyhCRXqjOu8NSIIVXqSOgsL8Nax+mqHTRCQksB7nBovVJ2s6AciKzdLLz7z8h0YYmdq4ZpN2fwgxVF1pWN0Ia533vvAZrdj/+5EUSy2XK0okYvR1SVa2iHMuZJq47CJrBzwWk0cgSzWSIZ4LqjWgkAYamAhI9IOhTlXKmWdJHjnVmeFIqw+qN+8gooZ+bdCGV0Qvoo01bWNPCuDcQkYBHpx7JznNCtDhJozdc5cuUAYHBMVt4d9NSP90j6Rere6aRRh7VkeIq9LUbgg3Oao8M3vbBEY4T3ZmUrZ+Mbv37LMX7quPHOzrVqMQ6wxrLWi3p7tooakBglMWowkI81nGyH23fq8RWfPqtbzd315UC6BAZcIb1YsMGhzjZP2ng1qMkQLLGh0UbXDOn1Y7ptTGpJ+5sl+kwowzdODPeYBDcSd/ahXStD9PX23WRGr2NmBpxrQapZWVSPzlMmieIlUWkCKs9dJKa1I5BLAQ6nMZWpR2d922gjRuLe1mt2eJWBayletlbkoUV0Lb/F0ux2qymEamUvGdcPZuqrdoFqrpc+JIfYxdqRj5e6wNxS/6znlGXWB4LyJOkOwvdcJncSVN7z8vuzruj8srjvLM7P8WUqZPnQgi1irWehdABnruhTbe3JRNFXEOwZxbFwhpEqUwJSNR9/H85rbn46YVqMydLF9vsju0VOmlCxy17kWrxyYihWqZRopeaR6R64d81xIxfz6DXh3SH1Y6K1IbyuULnnay0Ri+RnvHJPm1Wu/Lq5M2vzYa5usqOL0DEh8sxm53K8v3SMWOlmtyul0Fp/hdJ20tdEakisqLbSra3/GAh4JsQuUyaz9fOcJyezQajH9iQwDJc9QlOgicdgxTsof/ZMfMh9O/Ft//a/x5PmHDDfXD+iQYBRGOGt9bJpw9vC3yG292DMAzvqTpWFYPv+TJ0949OgR+/sDvgE/tVv0Sq7xwcuDfeDS5ebBXuvcaia9/H2t9RyWIq6BklByavvPub5aswdwBHHMmtfP5TCtiPeeIiDiaXZc5DxzmkYL4UkT0g1ULbhaGa6v2uTC4Z3RH6ZpQpO5l3gv+OBxEiknq0W00VSp76/9og8mIvQe6mIl6/HdjruDUcG23TWH6URXA5ttx+7mMfSPuD3+K8ZJduIsWlrMHxbO4jXvbeMI/ruhZEewuFusgFJf2bhCHyzHuxZTzcdJTcWuhdz8eHf9IyyIoC1+F5F+QJxRNProQFqMbfQmWhJTos5lJtUlPavZsEhgSonogvk80nyIS/Pp9UIS83C0gtxTS1lRr+A8tW8KZGyMomJG/SVlsrTusKrllreAjWk+UqmU1mjgDHkJzkPN5N4ZsqoOXyOijuCtO/feCih7YGcIUDTjncPHwW5yQ2Kk8ygFr5khZ66urqAlV1WnBDeQ0mQ2PIu/o/fQbckY2ncz3Ni98koMjiHYwJUyQdqarVZvRWTVAaEwzxA6G+V++tmHRG++yqGzAr5oxYVGc8Ee8MVOTMTjxTHPx8Z5NZ5mkzWRssWWV4E6T2apJJ7jdEeUYEJPDOFcNq3grLBbR5beM7vUNoVGyQBKmgjOInUX0Z7r2j1VMRZHMZpRr7VRfuz7mxW8s4OVbEX6EDoml/DFKDROF5LCt69RHZVGXRDBOZsaTNMJobAbAuie3t2i00t03pPSzJXrCcPAbrBpR3FbtGseuJ3numY++OyGP/vse/z+H/+MY878YhqZgBsNRPGMqaLB03tvY3SWVLJIFMe2jZ/napx34zc2bmgLJqm58UarAwmcJNHH9xvLowdwDmmo1WZjFj+XQpYQgllvtUM/2JwEamboNlhHpoReiLPFFIMhiBVrJs6j4zbGhbWw6rw9l7VW8skEv/vDW/7pj39ozc1YLA20GdtvQwRZkhkveKO0oXVD6Rb3m6kUG422MaOOM52H8XSPquAaL9G3AI8gjtSmSNutRe9e3Txmvz9yexjJeMgTdnBVxHujBuSJg48UrQxTITNyd5sJ4YapKsf9wXzeo6Hnc1JQb1aUtUKxBtarTbFcroR+g8dTfCXrkalm6uwYgiHNQRPj4Wj+2XMiUvES8NXRy5ZSmvYgOPPMdY6pZJxX9jkjweOOgS9+9hM+f/4x43DDMWeOJdFHE9oJRnOZJ5twTE457u9WJDSXmZL92gAsk7g5nyg5E13EqWdwG7qhNSCcEw5RczOItPG1RKrziGZUK1cx8zRWPuwSO1fZ+EAt1VxlinL7xSueD5HDZJzsmiYOX++ZY+Tq8SN8Z5OhznuDadSCjmq10IUhfozkE77c4nLFpyvuauRUzf5PtKK1IiUTgrbQJqVrRS5qDi4JIQNVPX1ZLAeL0QaZqcCshbqABWqBIt5Z8aWqSLVxvFFMGoVJKyVXavsulSZSrg6tntyQZ9fEtojRV3JRcB4VTzWnSaJPOG8jd6fKfJpBlBg9XjzeVfJR6ZvAPY8jvnGniUYRGK4fs9lcsR9vcb0iE+y8Zz6M/Isf/zNevr3l1/7Mr/M3/8N/nzqekGFAfWeTJa1EMd9z7cUAOVVoPsQdsTUPdX0mDWxSog+UeaJrxeZmYxz2v/zbv80Pfu3X+NGP/inv3twynU5cXV0ZR9g5Nr4hEE7WQKbQivTcGm5zvap4tWmkjwY22rnUmi3n1702OtfQY4/6RluRM2e5OkV9RSJ01wNytMjzgGtofVo/o0pgLh1jUvz9ib6vsO2pajHzu2c7Pj99yNvXb5jevUYoTKVS5oTvvVnHBqF2nsKEi61+woDJb14hOKLvyH2kREdOQq4TRSAMER8GSlF6GVAXuJ8Th5+/Y3O1gfjdGrdvvc6/9E/+/3iJALGp0Rvi80004v/7dxiXF3/evBZRQptK03XmQLA8xGBjECemRLefb0wxbz6ZNi4WUz2XzJKAoVjBU9vvuQwSOHd6flVq5xaPa7ZSDz8jeh5J5ZzxC5rWum4j13Px/89+0qWU1fXACgEx5ERg8VJ2ztFpMK9itQ3HeUdsPMFSdHWJCHERANhINzWkQLA4Zdc4zVoyfYhIDagHdR4XhK5UvLPvQ5tIrm9FD42LaQIW7P6Ibd6+dcBVv807leCRZBztm+trPv3oY3Mt8K2YcIZeeOdbGl2zJFo54Q+9oVUXdHfxn7XDIuVsY+N2bzebDdOY1u90CVsp1GY33HgV2Aiy857YO0o+IwZqHkAsYK+KPe5rFHm2saWIULhAplUotHQsDH81HPYb64yF1/Htqzb+mDVCllx/yf+XnPEovSi9i+znTMqJ1PfQdRYo4BxTE4XlxlUMccAPA/fTSPDCxg9sS0ZTYhMDsZpP5ayeVKwwD75QtbYkqfY5q21/04KQBDmjXSL40sIHvLmbaOxWAeI3r3VsaHVucyF4yB227/wsGKy1Mo4jFPt5hydEO8y6YTCKRxttcoHgXKIzxqU80yTsPrMKy07j7YpGppTaPnBGzhT99nqXC0upi8/gnFupPMuf+XYgZjVBLhe/+5J36trCc+qoqTIdJ2pVwrDwe+0ZtHF4akh3RdSeUR9D44vaWp7TyJwyXTRnnZwmasl475hqwTfKUM32hZRR6HcdpSSSc4ToKdkaDQsYCfgQm5cy+AukMQSHrFOQcna9iAFpTaL3kTdv3vCzn/3CwIZ+IPpCmJXSKAK+FRnqC1VMv7B4OhsSZg3bQrVIybQJ/cZRGoiw7Qecc2wGE2hNOdneJYJXaV62yzqxCOvoAqKFx7HyZBBuotKnDNXQLrzZhR3TxK6N2Gu2fZ9SmXXmsN8Tuw7pQpuImO6Coqg3DcTB28+XwxH1nrHfk9ha89++e3tALMJdsbMnV0W1Cd4wEEmdnVNzBrMfXbBGj3ih5EoR6LDXduSG9Bd7nQUBbfdxnQ6L2aQZL33xqj+LYhuJwdasM1DFtT0aKbiqhthKMDRYodRsNHw7mnFi08GZtgcI1FLI1Sa5qFJqRjCAKAw9XWuGtHqqCEmVr776itvDnv/oP/mPERcR76ilUP2ZMllR8zW/cMzi4vy+RM7Xf/cmrl3EtjdPHlNKoR8iH28+5tWrV0wvK8f9wZqOYijwgv5aqmiLrl7um+r5HFjQdrfQgNw64f72vmOTNQCttERM1yYItAmXpRdKAOnME11aMS3LOdj2w5QSsxe6YAJ0gqqVAAAgAElEQVTFmMwJqfqC6yOPPrhBpfL27iXjnJrTWMC5c21TlxRMZ+eguPfXgFaXKEMXKaXSu8rgC/dGTgMplpbqHc51SB84HPYWfOO+A2x5z/VLUSRXzhu/k8VapdnQXCA/33U5Z4VPaY4GVdSI59L4vbQCx1c02YMZmrVNmU0gFYNx4oS2SVQj9ZfFf9UL0Qc6byI5tBWBjdcGF4dmE1MNQ9+4wmXlfqkIx/FA1cyu66yIvyjiMoKOI33sWiHFA+EI8OB+qCpXV1dcX18Db5vQxIROqbSEPQ9dwTq/YJ1jFXCutILxzKH1zUxevFEvnH1UO8haZGn0ga7v2r1pwkkcxQmuqnmPehiP9n3E1pn60EbxZRl1WCysFMA5Ot9R3NnMfbmncDZY/+CDJ/zq9z9vHCxn9mj4lbKQ6lmwVEqxeMtcqS1lrhTjIvers0ehal5HYCnbwXg8Hs0SsNqGpME4z0LANfqGrb2zXdKsmaGp5aWht8Evnbu3IIr2fQZvqM1ci0XqIqRWvPuLBsnR4qKbw0W10629hhXJ3/Vk5DohWBPYBb/y4W+uH9na3r+lyyObMjEUYfKelB0HLfQIb6dCKTBrIOWCup4+dhQ3kKrnX7z4muNxxIeOmxDpu8CmdPgiKJE7CdSSLTwgZ6pmrmokA3tpPFQFvIlbZ5vFr77PAVYrQVVbd/k7VBw12wGb2lg81HMc7AMBi3niteZVSWnGVc/pdEKyY7MdrNGU8yhzabYX5HgpYpd/FqGtHYRnmsNm07Ob89rELo3y5Tj+srle1tNSEF9Sq1SViCUdLnHd9rkLVItrNjSw4MNmPZiXZnzoekrKeHEMXd9U+YEuWvxtKYWUEy4I225glsyYsxUFqfL2zR24j22q4SGGSK6WhLUm/i2N/jwylUyopgnobq6R6pinyfjBoVlLRWfRsaWg3uN8pBaz0Rw2rYmZq0UslzN17KzdCIzpxG77Adc3T/gHf/LH/OE/+TG3tweznBNHrooTcyhZ/JVxFiXuRFaqjCWsGiK83W7Xe3d1dYWI4q+VLkSu+o0Vx6P5sAaU090dEjxb5xtL3IqSIBkl406ZMI/84Fef8dFVwI17SlLuT3dUiXT9NcF3vNu/49Gza/pNx8uvXkEV+jgwl8zx7pau7+l2G1s3YiFJWcEFAzRyUIbgmfZ7+o3Dydd0/orgd0wIKma3V13jszdKXa6WGqitOMkp4ZzdH3WKil/pJs45chVqMc2MunY+pYKKcY1biUNpTiFWHENtvGJLGbYCR9sUJVwGZbRnJHi/Fr6qVoQHr6jAUScOhyPRNatRMToGmpinwv3dBHJ+hnLO1gg3QaijkvJERej6zvRD0ZHTxPHujqQ23b1/+47/9m/9LX7vb/x1Hj9/wqObD4hq0wNkEV4bLWqhgdBApbODxPm8ntLMnBPbYcMSTHO/v2vrGaDya7/+Kzx+9pwf/vCHvHv9hmfPnhGdXwWVLhgAJBd7W4zxwX6lyzmICROtlqlQMuoWdAliPId15ayQoO890uoe+X+pe5NeSbIrz+937mBmPryIFxnJZDI5FaurWV3VKkiQoL0AQStpIUCAdtoI6LWgnb6EoKU+iiBAC6EhNVAQVI1WCdXNZrHZLDLJHGJ4k7ub3en04lxz9whGUrVMGZBIRMQb3N3s3nvO//wHNfApuoiIUoOnZbMYzNpMy9F/99pcnlIm+mziQY+hxM6KDH+74+WzPX4S7t6+5pf/5jfUVmnNjAlKNvAKI2J28d6HWQSDh7wsBCrjELmTirZKnDZkJ5SWER/wTixjwkd2z2/stX5DcuuHrm9FkSysKl85G463LuBbN6trP873L+18zWuUshXzLlYVQ/ZWNNZhY7xosdAO+gdYjReqPbfd2aHrOzKlFYboO33B+EGtKZWrtLf+wOZSUJRpM1zeo0hXydtD5YN0/1KrHFeEbOUQnhGgPqYJfWGsBeQ1v2uz2XB7e8swfEHLjpzM7SPGEXVCa4Uktgg9iuXlyLljE7mMg7YuXllSNZzv9Bcx+obWhlOHl0BpDe/UVNqlUmqPZa2JiB3AtWaaC+DMLshhYxIRpTkjPKgZzVK9g3z5PNdiV50SvaUnamvk44y+vEW9Mw41laIVio08m15S1lwQUpo7H7ydx+6lLL2jrib+aI3gLirvaZqYJnhzzCYGUXtSU1f21o6CRNeLYnG0Yp64rqMcxgOPVIW8Pr7enVXftVajZXij1vhuDRfPwgolYxuRc+tzXqFe0NQVLf7Q5YJj8gURGAcTWUlTop+gKUs64fKMT0/Mp4UlZ9wQwAfe3D1x6CPlIURqsI143Gx5SvC712/48u6RZx+9NNpQWgyFqhUVGHYDNw3yLKgGgttYQZcTFeUkzb7Oefbdpq2uqEd3R7CIWEfFnCeKWBDLB98r7tzwNTARnrsoyS/FaWMcu4BIq6EYLXLMixXzWkmcbNzdC94QLSFunfac+ZnrtCsnRJW8ZNSZYC1rYxjc2dv04cEOQhMzBXz343VcHAfW17n+7DM/u6/3qoZAtapIq2eLNIYRjx1o7/OSz8W7T7RsI+olPTIvD7x8+R2GIYJ6ivcsOdmERCveNaKruFapqfHqdEeujVQKLSUQ0ww4HNoGmnpqqVRVQi149fjBUbTQhg06TeSa2TiQjt7GaH7ftTWOi6FqQUBbpm4CITpKNWuybbikD66Cs2nYWFFN4LRk5rTw/OYZjw/JhNhiE7IiDRo8Pt7Z7x2sQd7EDSn1aUE1dDTEcBYd1lqZpomyJMYQEFVazTa1EqBagmLpXrLqMavObjm1FUNhN+HAfnC8dIV4yrA4vCpjnOwZoyKtsAkDx6cDu/2GOHnSks3iUg31nps1mjhHiBuKKksq/dkQojSqn9CysGknbt8eqNMr3LMfcNDAEjYUGofjI7nCGEy8SxN8HKG7i7Q8g5gVoo/BplWqtso00FSIHgYRolqYR+1UtMLqxy/9ZzgGCR3kMNBmrH1SpNqnLoJ33RpVTSSrQg9CAifNIqa9BQxVgezBte7PXgvaik2gPOYhn+dOjVwtIWEIHsF3S02HD319tcbgArLdonVi8iOtVg6HB26/84y//Kf/B6+//pL/7n/471mOJxrdUzgExAfGGC8NmOrZI7ld7VWtWcCJYjkGSzbf7xAC5WQC/uAjrWVijNzs9vzkx3/Eq1ev+Pzzz4kx8vLTT6w4v5pY+Q7SGeV5dVkyR6DWuhOM2hlrQFdP7wurhV/ff+qqQfKcDscu1I1cN/V+MN/0hiXJqsi5EdHeOIQQqNnqNdcq3ivCQHQ78CO1WaN/+9kPmG5fcHhaePXqlQmbe+Q5JdlzXgs5rWl7v0+PyMcHSinMc6XUhTdHmN2WXAJJTV8xSzEU3DdKeUIKRIncjvsPniMfur4VRTIY7eHcSTZF/btoTfuGw3G91sPEkGhTHIuYW4BgKKiqFcJuvbFN8FJNeEHtylgrCm2VXn72h4SD17SH9fdDLzj1IpZJKZ1HrbFvwD68K0Y8cxGdM94hv087OL+Wq1HkdVE3DAMVIS2GWIYQwDtLhpI+3mo92ffqIF3RmVWJrqrkVuzzwagrXgxBan0Gc+F62pixiSI4cp2NBzzAOMRuBxVs8/IWmb36ci6dlK/0RQdnqsn1fT/HCq+8qyVZcenUkhP1Ev8sbRXWGdVF3MrR7CNR5wjBsZxSRxX9eew3DANzWjgejzw9PXHdl1lXroas9yL57JzQ75uTHhfe0VvUhlyuYWI5kXOAxNr8rd9b1fjorMUhAtqYu+jGCkAr4tYpy/Xz8KHLeN/rvbUmtHZbr9VOS7Qiagr50+sTLniGnfHkUzH0toWe1mUfJm/evuF4OrHb78yuaOlOEmUxAQVrsW/TCBCii0AkLcnGn10qkkVpudtUiSLeUI5OVewizQjNGo90/LB1zyrWWQ+Mtelb0Zzr53y1ulo/v8BoBXhXhIuuY1K7x6XWyxq4Wutn2kozNMwp4AXX7cbW5+PaGu66uQUTJr8/GVpf64foZtfvRcSStqQfitpHcvqBNdSqjaRDcKAWsLHfbUh6hc52n2mKnp8b782D2Kk7N5jTdmKInuPTjPfOmvFaSHUBhIGAeiGOEVpCvf1ZcfZZdnrHinJbkp2Fi0ir5NSpYm0FPpS20sHCha4j2J9PuZKensg5s9nscOEOKeVM3VqTE1uzxjRyTUlpiPjuO+/PqN5utzsf+lquLKn6a1DfXYlEGELsE5CL/MkCmWAQeLaJ3A4DUaClQhDPaT5Bn156MZGmxsgyz4yTcUeXXJBsyKlHuni1EuQilsyr+FchNqFO0aZWwbNthVOe8XUhaiMRcCjbcejWgCvwYm4SFnjU0Ja7t7LDrSRg9X2CX5FmAkvnBVcVWkZ6KBaNLhI0z773KU8igpZsBe26dgUcPZBinYDQJ2bS91LnOyUIGqsQ0JHnxDLnnl67rvsupk0XG7R3UF0BMPtRVcU3d+ZWi6+M/d4+PT0wH088f/6cL774LYfDgSlYEx86hUQUpmFYBzv9fb67ptff21qnrfTP5DyNlIZq7uh55Hg84v3E7e0tAD/72c8QEXa3z8w/ugNmKkKM4+9Ntuxcfvf1wGVC2+RiGGBHzuXfO8HC7n0Hjc5X64Ly/pnaecIH36v1pRerQVkqLjgQT20N7zzjbs8nn3xCzpnj0Ryf5nk+v24901SUDxXJ6XTsUyDl6dQ4JiVrt8rtlrWuTyIqRnNzAlrUUnT/nte3okhWNW9auGz+5bR0xG9FVT/MRQQYNKLOsWTFhWA84S4g0F74OoTmB4KqjeFyFzMM3RCcLU0LCbPwChKNd9N/sxd3dqOYhoHinMU3lkwruSNN5pARWsO5yHw8sdsOVEZDVFKiaGOYRnARUWUpixVE6wOhMLiIUQwsMMDGWOtn9a661YeB3bThH/7xT/jLv/wXxFHIuuuvunePrjKsCuJW2Ebj1cUQLQmoqCHOKqTZrJcU6zpxYqOebPdnNd8PYcC31BuLZuioy/jsIfY0KBwi0Q5eqTTNtkG4ESXg5tOZx9ZQEjaSuS4grQgJZGcF6MefvKBK4XR8A7phDBu8CmOP501q6NayLJxOR+PLSWQYBpbTkSUtxkVWheataFPFNcGlBSmJaYgcxol6KPhRzs+RNCuUSxPj7LlArs5GPPXEKUR7v4CbV06sCQlxNpqjFXJan+XuaCJmc0UzVffSyvm9O2dWYqJ00drQeanOPrvAO0Xz9RWjR2tvzprD+8AggZor6XiizgdUFjb7SDoeudkMVIWHp5kYBzbxhlwW6mIRu7M2Dg9v+eLukaaOj158ypILqhVNyiiBtvE0Aj45XGqITIQhstRCapm6jTiFZ8U6/aXCWxSnjmc+ok05zAmJHnoSn/NW4IRx4Nnz2w++15tn+3ND2lpj3G4583j1Ykel2phzsYYE0NY4Lk8kGs3Z1Om4LMzBSoopDmf/5JO07oBi0wrqpVESEapYgMvTaUacY0mG9G1xlKXw0fNbluMJxsgYw9kH/YxQuyvUxks/6ITWDCGOnbs6dUV5Gz0iU+fVwmaIJBI5nXCtmqOD9zgJ1CbkXEAc9w8HkMDhmAiTQrQxsItQywlpG0q1aOJIwMeZQIbkiEQOd7+mTAOb4aY7NyzGE3WWxLdEQ3tHGmEIOA81J/KSoAv1Bh9pzkRQDhh8IAqU1ohxxIu5gU6rW1ArtKbkVHqhOvB4eCClxPMffcYSbvi3v/k7/tXP/47TccG5SCPQFJ7TCJuRT376J5RS+PqL37GcTszpiWnaEoKwmyZqrTyfvsupzBQ1u0GXjsRpMDSqCGMMBCfINOJj6Fz2Dly0gmvKVp7YB+HFuOBb4cf7yBQElkdoldMhs5CR4i1UxhlAILXRtJGPid2zG05PC9lnWikmZFBhrg0fqqFzQdi4RMmCui3JVxRHoNHqE9//4ZbX9wdev/k54/YFRV6SNHah/IB4h/pEHQxh1ZbMO3uMNuxuNu523twLtEdOR7XJiYnzKuqFJvnSoJ69ldeGsFA7Au98p2q0i8tQKuazfQZ/+s7o1sRXVVJ3YZj71K8o4II109EKbG2VPM+IWJEoA+TcG9juSq25BwSJo1bTKJw6Ncs5cx6y9MDKx9/5PqXM3D18yfHhyN/+9b/iH//7/yH5dKJNJrYbRZhT91EWi6iu3dLw/eLRGvAAWTjNJl7EW8iIGM+TtMx4Hy2iO3pefHTLn/35P+Lrr78mHU6c6hMpFba7HZGAyHz+2evvcs7cvlbf7tb30YwyqtVDp2XuibIREQjeETZGDc1DbypDOWudVA0gQgzs8ipoUTwRaXL2y1YVxBmPPiDoaYFa4IXHLZkQN5aizAB4bj/7lGEY+eX/+6+5OzxxoNGKoGoUOz9OpNPxg3v+3cMCwOu7A3dPlVm+g4t7Dg3jyLeG854gHvVyBl+LCK87Vezvc30rimTo4qwraF+6mOccF+q+WY1o/CDPXJIZpvvAKgA8j+zV6AOoeQ4a4mxIQPRGE5AWCLVZVChm6RPdmoZnBvetWOSpqnXYEizJThvUqlRK939t+OAM4fSO1tXIsvIEq42bazW307GPNnLO+OjeefBVO4duVZz2n7H+eRgGnj17xna75fHpRPDWSZUVnW9CQHHexmDmj5zxGqxn7DyUSsPYsb37p/OTr7rHa9R5cBHXKmpGkCbHcBa6Yl8LUEFMlFnrGuSgQD0jCf6Mhug5Uve6gxURi/B2sNvtGIbhHO/pnR2wcsWtWpHuWq1A9e6ySa1ddNPWQxJWDhnnsfY1rSXG0TbpXBBptC428uJRZyENGVPxryLO/on1UdcazSvvUGbW9/XOGnjPbsn+svOPr5AKCcYZk/7Z1Q/TdA0JqKDqyMXEScEPhLrYGLdkXDDu/mazZZhOLEsmJdtA5rpwPB0t0dEJd/f3PUrdNjrnGzkdWMy7ryPXnqaOjJJbsrGe1x5bns/iMB8ctGAtRFWcrrwzQ7dpxkor2khq1j6onoWM718xrs1beKdIXkVzYOI8szIWtps+As4XvpuzD7gjr64ja9IRavphb7HCNCNaaSsMzprOlQpggR6m9F+WRL56Hr03+sl6/ysrsgVhfW70QrNYv8749CtKdJleeH8R967fcz1pev9aJ1prQyGxIs7SrbwoTiqeQJWLfaGoWuhMH5/nnEGUbdibj3NLiDbGoSLSSEkJcvFodgoFfQfNq7WepyqmI+n3UPveWzKtGfrkvWdZLMY7DJGVX5mK7ckhTswVSq48n24YZSQ35elglnRLzeQ+fRqGgY8//hitlTf3b2jZgInakcFhjCiRnNtZWOeHiMMQLdVsCHVPFxQfkO47v9GGR7n1wvMA3xu3DDSebSoeJc1HlAqabVjZn7XQUfu8mK/yPMPty1umzcDTw2yOFOqx4AsTWlukt4BYgb0sB/xkvrbkhFbTWOw3gbdPj2g5MEwvgMapp6yiDUI1R4NWbA06o6hYPWQACGux1ew5NovSvg4tRvRsQ9mqFUrDsJYWl2nZGVmW7iDSLtQg1fLOc28F9yrkEnNvQMmzJZ16F6EVRBzhCqltXdgn/Vmt3TWmljXlNhNlRMRRMpRSe/BWM5cnLlHjiuD8RKqOVIQvv3jDf/Af298bh90Q9jOMfLVWW6nvTPnOU6c1WlsVp0Kmuz9xmc62DrKtn82LFy/IOfPmzRsTTNZsv9+n7lrk8P56+nSFFF/VEKUUcq3naVmRSq0X69l1Xwn9HkTnzr70CnBlprD+fBtfSdfbmEvMBdHGXHmWhSlvbD05I3uqc6ZvGgL7/Y5pO+LmI3k+MnjBuQHUmTOX+zAIdHd/T4yRUgzwdDKgzaOx12nVBPaIOc6oaNdPXZyJ/j7Xt6JIbtqYS35nE6Ve3B98J/B/01WaeUGqmIffkpJtHlfjRrAbHcQcGqJf44J70bwqqN0qpDOU6DqzvUrkmGe0CxHMCkUpahuDHVSNGEZaNeHG4/HAj7bfYxiDZdH3IkxrM2GCp4/pV0eF6bzk1gcbzBPwPP7UC+VimiakmcPFRx99xNu7X1FKouApahxvrzAGSwzCVUbfQCtLrniEyQ1nz9bSC8bVyWF1qHj/96oaL6/0r7MNUHEysPorrzSGlS5QeiJMqcZDc+kSeeox5w9xci4o1v+vSNk0jOz3e/N3jcZjPZ1OFl+d+7PjLU1OO+fRO0OVa61oyYDig1AWExXFGE1lXxu5nHCOPv45kpbJaCDn+2tcNtaOGd/FilA8uG55ZF/VCxzXVczVEqWcj0ZLwKaY1w3BekDE7jAiIpQVcWl6xotbf+ZFL0XGB9dFKkQZ8b6ZfWA+ofXAlB+QnLiJjskLy5zQuvCdT7+Hc467+0cbfcdg99c7Dkvi1dsFVfj05Z5xO/K4PFDyCRFlwNIZc84UTD2cxQ7ZZT6Z/y6KlNI3Y0sy8wgxOKQ5E3K1xlCMOlFKpQBFqvH4no747YdVyYa8CrVa09x6IUhrjMPAi+fPqbXydDDq0+q9qVpomJcnzfRhVQunU4ZhtFF7NJGlNOPI1b5Wh6Fz8NQCTHCKj47t/oYxTsQQqE2tkAuO1kpvGM1T1HtP6xWyPx+ioM0cVK5pHdM0sSyXAwjWQ3U94DinL+bkf+9w9H5DKYXj8UDOmXG0Me3hcARfGbY747qGge20R0qmlIqripbGzX5kcMLDMrPZbJimicf7hx5AYes/+O6kIq4LS2wfLSmj0Tzj14ZV+usKQ8THSK6FhrAdIk7UxGUlkbMFGOQzymjvsVQlTDsEx9Oi3M0Lx4cjZIf4kd3NxKffuzHrzGCNzWl+YMkzlUiYBl7KC7bTjv1mS+uONPn0xO1+0xHFzJwTxwSTj/gYuBkd3imP7Qjiyeoo84nWEtt6xxgcn00jN0F4Hjqad5ipLVOXI14CYxCaC+dY7fPUzBkF6ng69WCVWx7u7nE4K1Cr9ucz4ZzHMeK8cUlTPrDxHkplN0xkGqfHA8+2kW0onPI9m/YdvCoHGrVBbhCkIfWE1EhnLFGwM8M5kBBw4ql1ORc+TsJlz+lFcu6c5OAja6KbNBPzWfPs+tgcypWIUujPb70grmcRezaqTcFRnKPhmDZbyxzIlSEEhi7qzbUiYhxd1WBrTbtlGjahK6WQMG9xISIE6NMMVe0FpFm3tqo8tcwYJ4btd9nkwP/5z/6K/+w//0/MAu+ghBApYWLcDudzct3/z+DWe4DI6jYUrEO03y1YjSGcp9e1JEApJbHbbfj00094erhnLpU0n4z2NE1GSTIkBdVOU6vtrFnwqwsKivSzESADkpSgq2bDwttqK0hN3U1jh9aLzZ/VY3QRp4EZSs9XEMx5pDc+OWe0CQFD1U93b4jjwOifI1SqVHNHKRE/eb772Sf4IVC+LLx9e4dqo+YTaTnx9PQA8Ue/t+eHaM3dH//RD8ht5F/+4pFcG3EYLeDHC1oSpUH0YwfDxBJIwzcgSx+4vhVF8kr+vUbQVmQIVvT0m6vkXC2ysqmhwyvKeLk6L1G6eElWHpQ5YkgVSrDS0NETz/qDtxrYgyGhwDkURLXRvPSDTrs3rlByoZbEqA0lm0K4e+A6tdSo1cmgBePynmml0i6vl8tik6ubeo3GOOdwaiOkFWXV2VCujBC0c4YNRO+FHpefDVQ1DqX2ZkXWxau2sMS4JB3FWrtJc5Ko5h7fKSmC1x49rGsdYoWe4RL2uJVWrejTnh9Wu9VTM/HeBRW4WOc49y7H9Hy49OIdjI+WWlfZX21SK8qXUupjWxMWBHEmoHJmE5e7p3EpxRB9v6N2NxRd0e73gju8N0skNMPVs7LyzVfXpVIrmtMlBIWLM8b6f+1R4tdF0MVAn3NQQ6HaKKlztb1+eMFrtbRA70BahlpwNZlPqliD10pl6f+W7u87yhssQjSOxBB4eHhgmTPTYKLTYTDkoqQTAMFFnPZiSe2zr4IlDDordr2Yu4pWK6Kkow/eCaEvSCt0Q7fosaQ+mwD1hjFnavrwPlBK6hxSQ5PjOJ1RZEOUco+FN9FW7rSM1gpxitTUOYFOjPPo1ZrKZqPXpoo5bHW9uJiPgXcXRNcPhuRtt1tzOZHAnAuxFPJ8guc3l8OyI9LNRVaHo5XWY9HL7yLB67N/zTtcC4q1kP7Q174vCFztuKZpIoSBvPSgkFIRrwxhOCPNYA18U3hxs0drMRtMrImOgx2w82zj0M12QkRIi3EFr8WH62tY35JzzqwZ+hqqahPDoRgPdd1v2pp+50zU4/uZYNM1KM4T3cRpmZnnmdQiv371JUWUj57fcrPdsd2PBA+DV3wT/LAlDhtUTixL4qiw3z9jcCNDBFpjOR3BC5th4ub5npYTJS3UUkAwbqoIoQmNGS8zGz0x4rlBGRQ6Q41YTFiGCk0bpbZ32INnfUenqGmrpJQZN1MvJHu4RIUsVmDGsCFJJQTzjnbOkeYZ/IzfjzhnNoytGAc/LZXWTqC2Hqt61BkIsGogqtaLUwvYftbamV+/BoecrUvtpr7TzBmFwoTM3q32YutevIZS2N+5M71I33lO1n2/qn3GK+/V0tZ7Ip8oVfUcdLE2i/7sfuOoSLdG7H/uUyErLDvFQmx6s9qBGkWxc2mb2bXFMDFu9tw/fs2yJFzwFrtcTJSe0mXNXQejXE9z1vd2fp8f2LKv6WEG8hmHmdYYxsCnn3zCF199xeu3d3jv2e53iFozsJZH67r1V8DJBSyEUg2xl/7vB5beHAlNk0VXL0vnPg/ECOMYepNjnGWRy3+urZ+2nPfp8z0UOYtBawXJjaFUo1+Suxe8BxWmzcA0DaT5yNPTI3k58Xh/x/H0xOHxAf7k94vk5ztzmnm2s+nPdlh4miuuPTMfaVGS2PttBZy6/uyZ+cDf9/pWFMlObNSoTc/oGnAuZkxt/M2+diEEXBCeHo40ElWF2sUW6whWnCP2D85pw6vZNaVSaeo6Z9RS05zYaDGEQKxhwwUAACAASURBVG2WJY93aC6MYcSJUroheqmdxoHZxamAek9tyn4c8a6ZrVT3VlQntGw3ziFkrVSEm9sXAJxOJ+IwvRMnCRdUeUVe1wS/zWZjqvAQ2Gw2XZSUjc/ZbEOJDeZWyU5BK9JlEseyIOoYyeADWSF3ZNPwAaCPgLdh9Um1VVGrklqkRfuaMURLEusxqGAbgdicGuc8wzBh1IUnWqsMG3NZKLWBmkCqlkua4Koy994zd47vNE3njfUyhq5GeehiLQmC4FiWmVqsQ04pkZONLlOajdc1Tmy3NipXMe9HcXB//5Y3r+9ouz0wnpsq1OHixS2hKhA8oo2yLIyxb4zK+ZDPqRdtwVs8cVnHge/SV0SEkpbz83pZGx3BL9X4gc4cPUQMix186AmRH1hXLth/daHNT5BOBEnmQNCUXBKDE3Y3zzgein3+NZFPR+pdpS7JuIpqTcrNtO/rMXM6PjDPJ7x/RquBvc/E6FlUOaRKygmtlnSmvVnyWMS0IMbnVcA5s1UUiGPAkiWV4AWGgaUWogvshi2hKDoIP/vAe3358qWJuE5WuN/sb1iWhY8//hiAt2/fst1uSbWLDDuNq6TMnAv1tPTNxJNF0TIzuGBI9GaDC54p2xqIo4UT5WbrrrT6zoHYWmPjLQjm9PBgjUVbzGe82zyZ0t8h0XiVXnuoSK7QzEXi5saSvlaetXSP6fUg9t6T89IP1tZHsfX8GtZpzLVjzulkwTm73Q7nAsdFSalQODL4wBA84xQZ22BuD9mRVLl9vufN66/ZRs/bN0+clpnbYSL4CHGiNchHmxattJQpDvgQiM5zrLWL3fq69WbbuCrwnb8kA5ZaoFV7LRuzs3uau6NGHOxrFuXhdOTFd35Ac4FXr+/5J//tP2H36U/wz3c85hP/2//yv/LLn/8t8y/+jkZlKzMTQl5OHCvwYsPSlPv7ez5/9YrTMvPxfmQI0UR23uzPpnzkxc0zgt8RqlEz3n79S5zz+KYM+S2beuSHLRGrYzommkAOIxoCqh5E8aPxI0tNVmC1C+AB4N1gFIPWePvmkU8+3Zr2A2GumVKgedOnLHOjpESMjs1uIsaR+XGGkCh+pjlBxsbTybHdPmPWJ57SyUCFNuB8pPqJXBpzPjFoo2yCrVGsARERpJrzghVa9dyY+fcSRddzalksnCbG0Z7pThN03mg0aKW+s88ZkNH0AoCsheITJsaTlrsNWOF4nxjHyLTZUGo6gzrhXCSvWqR+gnW/XxGbkjgqLhqqbYXjQi3eRGmti7tMAYv0wJDWKsMwsSzC61f3bPcbPvrunlKPhuBe8d3WkI/lPTeutXhtXLILZG0e+hqo9kAYXWwYOB6PbDYbUrJpyosXz3nx4gW//PXf8evPf8vrt3f8gz/9aT8n++/vaH0rQquta6/sqq5Rc4NI50w3Hh+ODKM32pYmcknU1tOFl0SojQmrOT7qFDXt+4kASzLKagOziFULNlknBK1lllyI+z1VHfNxIaTKsN1ADNRlRqvx4H0QPv+7X/G//9N/Ri4LMZi72G6//eD5tvHCdr8jH77i5tkL/qO/+B6/+Le/5hdvCqdWzB/cG8pd84JT8EUsUO0PMBPev74VRbKqmccL4EYb086LccUsZhqOJX3j9y85GYewFzmtnIBIGHoqmihVFBcbo4/k49yLQYc4M3zXbkvTxBsHUZWWMn4cCN6xlMzKV1IUHy1d69RmWh/5DDgGdeQlMzohH048/84tYxgYx4GWE9Js3JpyYrsZ8QQ8QuqhFZtxi6zJXVqp2KHuuwWS0lPdelTlkho5N+p84u3bt+S0kPxCy5FRIx4jrYeg6GJj5rmuI54bmhae+kFqAiyLhxyCo7baC9zuDuw9TS6H7+iLcWNrM1RYBOkFYK0WT+1cYPKeqjDXg90wsfAWozM5fPQdmVdGMrWtxP5GYSbIgPOWJFSLbRjSG4aUmoVVuJGSu7BKhNoywQVwPShCIjEI8+lEqxEnsL3Zm81M7b6M1TEfZx4PMzjPYUmot3Q87y5UkFU4ImKx2bVWgt9SajaAoBnfjAbTvntI5naOOhZ9l1/fKY24ELsjx8XuaugiRO89TRxzqWy8jR4BlvL+1ORy+dYY9UhbDsTlicEZb2uurzgtBR+3BGeCxY1U0jaS1dEOC5M6yghLqYSNieLK6ZHd1hxAHo+F6G5wRQmu8TifiK7y7MUzVOFIZAgjaVFgwGmyCGK1oj/0CHAb2xofUzxorTybJgu06Aem24w0L+QAYRo/+F5dHDjOM6fjjEfYbMo7h+5+vzdrtrlajHNtpNNszx/K9GzX+dYBPZ0I4/bcqA3DgHOOuO8IsAjbOFBzNPP8fjhMIeJQcqrAQMmNzfSMgjDEG0pJ5Gwe27vdzpDWMtsh5wSa0FxDsIa+5AW6pzlgvD9VSjHnHnOjGc+otPMC4piXZil9WigtM24DKSsxbKjHyunuYN/vI5vJGuOv7o/cbCZu9YaoA+rN89f7gJdozao8ETWzGZ4z7Qce7t4QY2EIgbQsFuoQHJMzEdza7JVSGPcTvlgUs4jAKMQwMsRgCWtq4uhUhCAR5zxLXljqAihjHFEqx+MDcbwBv0XzkexfgOwoFV7dPfK71/+a//S/+a9pg1APj/xoGvmVHpkf7zh+/ht0WVieEqjgXnn2w42JkzcTPjrS23tQT6nKNEXiCHPJPNzdMG623IwbXE24u0KsJ16kJ/b+CSQjFcQ3kgwQwG2VRkK6RsirUW6Cb0QCuWVqKQbceI/mBzg0BvXkx0z5SClzYy4F5wdz5TnOtAaP8xPeB/b7LTIXhlFgc8PrNDPePqeI8aurmHBt6yLaCpUjt0Eo7cjiIjVUcobaHLFGlqpU74giPeDpYHSqzYiqkFLGN6VVE3U1Z+4TtbuPDD04ymmlLZXNZkMTE/fGyVNKY+mIepPL5ExVcIOjqTCnCng2fW9dcsUFj3MRPy0gHTDCEWXoyLeSq1LWnEwH0hzDsCXlTErJmuTyiKrrzZqJC0cR1EeSmN+0ugnnwUmxZiHaVG5uwqvffc2Pf/oTTjlxc3NDboHNaGCaCe+75zDvTsZXQCQ4S6VcUqEGKz7nUs1KVRyqxbzoxTGM5uHtXUTwbJ4bCPD9738fVeXf/O0vKPcnGCLJB3b7PV9/9RX77Y7WeftNTXPiYsC3RBNHVd8DrSJOCgSbpmoz54zNaHtsykotFU9Dg4PJEYMJTdHAY6psN55SBWlQndlJajvim6JzNVtETNy42WwoqdBKYxgmSAsu555T4Ljd75gfF05PB7RmPvnsY0IUhm+oUrfesx8mTosBHjcvRz774cf84s0jRZ6Rs2dYPC4nZDIdhQmtIIT/n1nAOYFptOAMFx2DNoJrZ7RVRJE/gI5ndRSFVBoueJBufJ1tNLKmyOWc2UiwBK+VsuDCOQXN2ER2w71gvMjFinMvjkS1dB0s+crGuKDYKCoXQ5XVeTQXvvPilv1+3w9fD+OAOsH1VKzD6ciw3RFDZBzHyyhGL2K4WgUw8vsq0oN3Sf61Vl6/fs0XX3xh9II6gUk8jL4hwtKMQzk4K9qWlmiLFf446RQVJXgQZ99nhSnnccyKFqyfXeE6FcxUsyFY8Wvjm85/Strjwg0Cjd2ZIZc1wS32cY5YwVircbJ6/KZ5XDskeIa+gI0O4YkhdNpEHwEGG9O7ptZdF3dG3eGCzK+ouxYxB4f+NXMyD1cfI2MYmQu9GLHie1kWVuHfSjsBQ8qDHy73pZgZ/7Is5zRDs9QxT+FrUdZ5JNff14r+hWCoSIzx7Nuac6boRQR1jUS9f0UK7fglbXlk4IntNDBtBr7+QplzIZPxQ2BBCHIDxTh5u8khtRGzI3plyZWWM7e7G26f3/B3n/8WqfROHQqFTcAK7pbxKjwLNk4/OqXUSnEelcAkrgsqtQuSlJQzudkPFFFkCFDVngsNDGHAi0dqNVHuB663b9+aA4TzRG+Uh1LK+X4dDgej4xRrZNK8MM8z0XnGjVEz9s9uuiuDnilbqsrxeOw0hTUmwdbCZhxtD1DFi1ADfRoRzhZ3x/kEIfJ0PODLdEaHz5MEdwk7kI6meWeCRgvo4Bwa8P51PaJe/9xaT73q6LNzjvkwo62y3+64u7vjq69e4cdnDMPIjYu0MBvvMxkXX2rAbxvLkhFn1KPnL/Ys+RX5dI/MBTcaLYPaILbOqXY2Dewo40p3iTHaNE5ct5PrqFNbOoXNnVX0q+g2RMcQJ/JcSGmBXvDHacM4jMynI5/+4IfE77zkb37+G7xT7t98we3Nj3CnhRcvPuHlR9+h/aM/5fTqdzy9HYn3X6DSGBcrNOda0KM1oHIyMdt+a0EyKQv6oJyqWdLl4HjI8NulMQX4/nPPgPBi8Gydicty7OBDLhZnv1iITu1x2GvqWS0VrR6PxzlvNIpqNIwqoFRqPlHKzOgDZGXOCcXhqmlkZm3UUjilBXUNCZ4lVXyc7LneW5MXvHFXH/yBpwdzNIgu0vLFDWGz2RCYWFpC0H72GU2s6QgK81IAR+xey7ktlJ6UJ6J4dd3X/GJxOEwDLnhy6VOjBk0dcbg5P/M2PY6IVNSUKbiuASodGAvRnc+HjRuNDlRr127oO/QgbbX7AttZVruV6zg5mi4EvzHQeLUYpNPAVAlXha794s4f9hHxgRi2/N///P/Bb0f+/OWfkQ4LYYoUX84N9boOwxXdaaUNAeAvAMn6mkO4UDLW6bk4iJ3a6PueOXgTzY43Az/+8Y85Ph3463/xz7m5fc4//Is/5+unR6L3tJJIpZ/TOFqfXE3DhbK4/r6hU8R8cMjacPQJsF9psGJc6tOSUDybKeJ94Pl+hwZzJku5kop5Gwex9W0DVWtgDqcjDWUaRoJ65uPRdCOlnvVf3gd++tM/YT6+oWllGk3XFMOHiz/dveC+ZJ7dvrRJbG786Ic/4E9+/Rv+6tf3HE+OtL1FnSPUQPCKd4bcl/xhx4wPXd+KIrnWwulg/pQTkxWgq7vFOsb8cOiKfX9rlGb79RpmEJ15wgoOv8YzdlUw1eyRFDWzeoHqjVYgaqpsXDGeTTX+cRyM4F+1UToP0GNIXugj8dzMAsY5U2APw0CMI2g/QM48pe4CsI58kXOMrkPwYrZJsI7kL0KcayHApUguPD09cXd3Z6OxGo1npZaohwdxg41y+g6o1VE1X8Zm2j2PnVlPrdHZSkWa4Nx4Jdq7cAzND9jug6p53qoY0d/1ole6d6FxUegG+nIuNFcumCHRDpyuy5OqgvTPaUWnxDtcD/FwEvpYZ92cjNKidO7Ze3zNa+7cWqQ41wWbPtLagTllSjHHjPV7V+7nNbfs+v/v/12jL8a6ckJ9/4zb+WveL3ya6vk/+hjumoO9Fs5r7PGK2L+f2rZeTjOSTZS2HTzTGPDOfrZHrGDUyi56mnoblUvtY/+E5EypSl1MNBicebPWamPMDpvTzGzL7mk2uyrvYFBHxVwMinbfcjXU/prbPYwj0kJPZLRGt7RihRfWoPoGWppZ9n3gijFa4+MD0i6c9tyJodfJe+/wd2Mwxws8OVVyLuRcz/QesElEKYVcTnjvGePQUSG7H3OpOAwNDSt3fBzM4jEbDSV3CsL73GL0qtG8WkfXbjbvP1/XPMdrx5v179Z9Yv33YRh4fFhIwfP27Vse7h95+ekLWx+lEpwwjYGnlCitklpi6gesc+aJa6P2NSY6UHPp6aO9AOjva10nF4Swv+amJlanH8KtMkbPssznQnoYA5txgtp6KI+hWBZs4HHNm+eyqvl7jwPNubMQ84ff+5Qvf/OWX//856jAZrPjxcvvcvPiI6RmdDNBy4zLTK2Nrfe4BsE5Bl8QGpubDcFPqBi1plSlaaEWYU6Z09MJ7xxbnwhA9OCC7anNqSF3peGcfQ41VVKnQ3nv+2jaCp+irafmKdocS083tclqNR49HsjUwpnWByZQb42OGCoNYVlmmjcP5E2wqN9STYtRs3FAr5vyWmv3ku06HGfTSQuKMK1KLgVVYT4VQNhtB+ModxSWZoWQrKKaDgjkrjtp0EWoQq5CrQYSiQilrY4vDm0ZzSZKXlHZ2J9t38OW7EGC0OmGrVi2gTQ9F6jmr9yLzXrZN6MPZoFIPet/bP051F+oEc7J2Q/dABMYwtCbjT1ffPGKL3/7NX/27/0ZdP3Tdrt5h6dt5xjvrIH3z83317HxkN89D9a9aqUoAYzjSF4SKSU+/vhjfvY3P+Nv/vqv+fSzT3l2+9y0L84RxDPnhVwaIQxM2825+Vgpiv0d9w9Dzg1O7dPgd7QSqqRScK4xjoHgbN/OamBVUGUI0Fyfuqvd/9qPfVlRehVKU/KTAQ++mx3UWhnHiWfP9nz/s++yLCe8twlZ/IYIaeeBarkPXhrUhalVbrcjk5s5OKvrGuCz0SOrdH/rP2Ap/P71rSiSW8ncvf4tYHZeQRzRD1RtLJ0H5f8AlOw8RDDP2M7PUy2GbFHomglbKPNitkTe0M2cO3dF+4IUz4op2+DGrEPm2vBSuueijYVKL8KsuPWWBCQgzQrpt3cPxCjAd83CqicYOXGErgDGQa2Z46lYKMgw0jQBE6vVjRMTJNRaL8X0VfEGyul04ng8EuPIJrxAPKSaaAji+4i6NOvanJFsizdLIScWPelct7Hr41vptIjrxX4WmXRO1Rp1bK9Fu9DRIpnHOAAOWQqlK+BVFTq9wHfbPxNJrNY3ARfAR4c2R1oqwUOuxWg1Ak/HI89uBujj4CFE85BV2zCF/n/VThcxJDj3QI9xHInRXEZap2045ygIiGe73aMLPC25F87tzAe/emqxH79uPOBcPBcJiPTGqy9wdeC8CVGuGp13NtbBE3rRD7Y5TeN0FhKCIc216JmrvY4qP3TVp9eEOTH5wO3NDTF6vnr7mlIrEjzllKla2QVHC0qridYquZwM0V6W3jQObLfGC/v67RuKBrPyacXWRC34zvtvmDuBLplPxokSA6dS+PowG9XAhR72EvDOjOWpjYBZDmn3vIZk0xPnzOKngeRKCNMH36sJ0QL7zRYtRokQMWrDdaOh1Zxl6GryOSdKsUP2/vHRaBAxMqrxK3POPXDCsdnuOzpnh/ThtAAL02ZP08ZpTua5HhxLykTvOeYTL6c9Gi5C1Gs05yy86yp0C9RoVC5F8sr7RHnnGVzX4vqsrJOGM8e9PzcmJrRG/KuvXnE8zjxLyjxnhjFws43WoGQrOCUu6OLxfiKGkbDZ8GIYyI8Ly/zIs/CMXAvjMHTXmHpJpWwX287rqdfQLHAoNasEI45je2C77bxb70Gd8TAHm6wt8xPLfMQ5oaZCi5FWBFrBO0XjR4y7j7nZP/DFr/4lX/3qd2yefcRv//ZvKSnzvR//mLLZ89n3f8jb4Gif39pLvH+0aiwvuApSIQwQB4e7P+DGhWk7df2FY9o0Ws4UV7grjZQhDNboHLVQLDEHH2yftahtO4ZbFZbc7STHgHoPIeLUczrOpFLJeeV5Tp36pezEPH2PtTDXwtLvvTkhm2NKrUYJLFJp3p6j1blkt9uBr2z9hvv7e/KSmIYtFXPPqepx1dGkUXJBpNAGNepcaxbysxY3ikWD46iKBZSIUQUca7MW+r2GJhaHXJYZzT0d1js02WveTsbDFxfxPY0vhEAtDlVPiB6kosuCiLMUzGL7n7kuBGsylmQuUiHYlBJAjdMtIlS3txckPc+3ZYo+sRaG3gdrQtbEiWa861aT0UPieD4PRZVhcHz55Vv+r7/8K/70p3/Cp59+Fx/lLIZdr2sNlThPQzp98mIt6s4NgAEH13+3ruf1Ws9d6RNTYmS73XJ8OrCZAm9ffcH//D/9j/zjv/gL/ov/6r9kjAM+jmzFXMZbMyR4tbtcwRb7fR7pAWyhn/XrtFbPzYqd00tNtJSZcjDR8m4kEvtrt3CPZT6ZZqtY49qctyI5DizF7AQAltNsU9HjjLhKbYnNtGMYA89ub3h8ygyDZxx2UAPc//6e//3vfh9q4XD3hiVXHo9Hfv1v7/jNfURcYPSNpR1QbQwy0FqmtgTizuyCv8/1rSiSQanF0JqKEHEU5w3i7xBy/ENFcrNRZehMzdYySy24NVFotacZNl31uBbTJhBSekGseqatqPZxlDc7o6VWtmK8oaaGOtdzh7eivI0iQuis8PunR7abeD4UwxAZh8E6YO8ZJVLURiu0NSXHFoMVYauYRWAV+10hRzaiuIh4VuuwWix8otRCbQ4XlMFxSRQU7DWI8Za0Vnw0AVpO3WrJXZS2IuYKAJeucn0t1we+iFlYtVzQ7gLV7+45bhwxFwy7cf37oA+ne/Je7fQM7JBaaRzjOLLZbKhdfLX+zuvX4MRsXhT7TFd/Ye89pf9ec0G4WNpdf5YijpSzRV263dmv+/cQPVltBTvyiqDVphNNdWXG2WHQi2bpI8P4DQt0RY7X37ceeuvvXO+7BZJaQWnPyofpFmU+0tIdLjqaRCpwWGZS90kN3mJd0+HE7A+WBqV6HtVXVaboidgznLVyKgn1JmbUakhfa0oVR1OjCiiNlA7gFzbbgeCFpQipwoFoKFDtbi/O7J/MRaVTGZqiqaDBkOTWVfDe+/P9/EOX9inG6mpyPcZcR4jreDTlzDBMPD09oapnn+w1eXJtRJxzuNGtN8rQGGd2kbaG7HA2FXK3YxJzifHeGuQVaV1/vz2wVwV8e/egrdUM2F14t3ES+f1JxvW6XCk76zNrz1Q5WyHa8855n6m1mQf5dsPb+5nHwxOnBLutEGrAtxOTc6RmRXh2lVIS0a22X77Tp3KfPlmBvopsU0pIbeaSg/kmR2ciTrvMBUHEnFVsLwugI9ISqs0O3AoyBnxTpFa2tx+TGXi4PzL4Dctxwe8St3GgLom2VFpRSp+K1ebQBrkFUq1sgpjfcUeAS7GiUaqeKVjOD+QkRp9AqGWhNSjHrqEZvCGe2ii+75nNUNLeM1hQGRbqZOySLlRWyAqn1mgVfAscZnM0GIIjZyW1QkFp3qAb83m1hsNQWqV0oecuWLDMtj9btVa200ToUenEiHMXe0nvvdEDu9amFAsJcVjoB0BV7DMJ1sTlli0EpxVqxtxptDtF9deimGBqnMYuypNziqX07AA7Y/r6bs3CiroAzgeHuMSy1MshQp+qqT3r3oilNnUUeWfQfAYeohVqYo8P4kxkthqT27ZsFpdurQLUWfQ4DRcGnCi1ZJo2QhTCMHJ/98DvfvM52+2WzX7P8Xg8awzOr+FcG1jCL+Ks6XjPvckaBP9OI28e/lDfmT4buLMsC6fD8Uwf/PrL3xGc8OVvP2c+Hnj+yQt+8g/+mE+/90dst1t2NzdUVeY5wdlT/bJXjNPY90LztnbOscjlzFnpF0FsQlsxtypX1Eb33f9ftRG9Y7GT0Irzfi+0U1dba8zZAsjmebYmfp5BCk2zAYIOht2GreyJXhmGCambDxbJv/zdPTVnHl7fk1Lh/tjItfH56USue6Pf1YanEnusZVFDtC95j//f17ejSFaQAr7L9pMqd/ViI2Rq0W8W7qXHX8GwR/0z8tIYi6MNG/NWLUsXGXjayXi3zTuqWCFHWQxJbZfD0zlnHrPRkvyampWV+kBVcK0XxaWx81vjXVHJLATniCqIH5hT45QM6VuWhW0VtAYTcKmDGJja6mxgJv8OgeL62KriO99J8edCsTUbR7YGkh3TGGjlDbcff8rT/Z7jfGRZCk1sLKxzoQ3GW2tNWebFzPtX7hlWGDnnGIfJRBBGN7P9vCqHWnC+x9piKUnBRXL/vrN1TTYfYhvVmehDe/LXitqG/h6iXMXDouRs73U+LWw2O7yP5GWGTeB0fOJHP/gEmqlenbPPYhwtf96HzkuTlWfmEDEer+/2Up7KGC1edrPdkucTqTsclJLRdKDMBzZug99FcoscdABRYis2B82Caw4JIz5I97+tpDyTxEpjFSGtQsQi4DrvrBeecm48Lobxqkrsz58JGYxaorXzVAdDys1urZ0nIdrcNyLJLrzF55n9MDHlSk5Cms21AGxq0xqk3BAdyHlBWsO7QPSOXJVxHFjSE7vnA0+PJ3z1uP79EUE04HwglUarmY0zA/p9jLTHE1CYIny2czQCy/FAjY6vDo1ZHWnY089fvPN4gdPjAd+Ujz65RQZHo1iO2AmCKx98r9PoCd7hpVLqgqsnpnHgkBcTqDTP5La4Z463pyfmJbMNA8/qgN/uaMcvmV485yErbj5C3OB8xPvIJgx4CRzkQMsFJ4E4jAxiPskPhyezQhydceRdYCjK6XHm+fYWpxE09GAaOU9qgE4HC8arLLWv9XoeSWufhgDdNB+22+kcLFL6v5mNo5yLbtvLIs+f73h4eGA+PnI8ztyXI2XjOGoixoCrZrpfnX22t8+Vx4OSnfLF66+4cQOffuQJg0cbvPzou5S7BEVocaUSKWENXWpKysYDP81HYow0rTw8PuK2Iz4Esxurle3ORHMiHk2JEAytjzGiWGy8nzwtK8fHDNuRHSdcrXxxn/nJi48JjJyI6GbHkp7IXxc++uz7aFCOxzdoeiIcD+jhHi0HlnRgu90i4jjdJ8qsbEYQGci54mJDavt31L3Lr217dt/1Gb/HnHOttffZ53HvrbpVdrkqroodY9lWMKTBQ8FCMUYQCSE6NPgLaNKgiZQGEn2atBASNAIRCAkSBwkRRSSBGLCJgx27nr51H+e5915rzfl7DRrjN+fa595zK9WsTGnXrXPO3muvNefvMX7f8X0QiseJx2VM3O08zVeiM+T5NI9UTYTDQI0eVwVaItdKLtjcrOYrfHeG6mA/BqQoXhRyww0HAo10XmgKbn9FLo0hOHQcOMlIrgp+AFVSbSQNRnOQgvhGbY0oE009r3Mkh8bwaKSJJdwt7Z7P7l+Ci0QfCcPEkDypZdICGgeGfYSaoY5UtWTM2Iy6lNqZIXiyWldlmkZihFrMIenZ42eGqJ9mNkKIVgAAIABJREFUqhh/GEBro2rDy0CQ7vPuvCHOslCqck4VHyZK85S7eQvgkLmDStNIypnDYYcrtkZeYQhnbsb/riFYMdbOWxFtaaoVf55p4miqnEWREIkl4JwV5qsv/n54BHhaB9V8rKiK1QsOgq+Ia7jocBrQkvnbf+t/4dWrl/z2v/M7jMVTiqJu6DakibmeN9EvAKEHd8G2f+dWaKIMdTQtTuwWiSImLG6XrrGIcDwebZ8YdgzxwJ/+f9/j7h6+98PniBx4/eLEX/8v/huu9gf+w//4P+Ib3/kGHz3/Po+fPGF/2AN2AC2lbFakRStu8Kh3tOhxITAWO9AsZSGvYEZ0ROfxBFoZwEdosUe1O6KPPLq6RpdMPp9sPDs7zHnnSLXiXaQl2+fP54VlOaMVTrf3PLrOpDkzhA/RVKgl8OPnJ+7Od/zh9/4EfuVf+8Ka/9f+y981/YIYBe7Ro8e2Do03XI+ZIQg7Z1qAEBohRrJzLDlZwflTXj8TRbLSRUBC581grgwPTjwrAvOu63SaaQmG/WiuAiKkZEUiGDpVutALLBbT+FewcbxWf8gNbe1JZqprIqjFxja68bf501YttCZvvb+H73c9Xa6I1nYy5IKCPmytWFqXt3AF37PG5Yuvu/1sUZbFktJqrVTqW/xE2ADb7TKUcr3zn2/7a0faL6iVUYyNRF9Ke6uwe8i1WtvZ4FFnVBVzEOlOIrKiYf2Lyyl5RcLj8BA1q9ZGj8Jut2O/3/dNt2yF+freHyLK62uuf86d+7ZSJkIIpGT2cA9Fcq2uyUdcwlVaxtNpNWr3TTwXpHh9dupoaq09xQrh2gyn+fypVfvhpHaf6PVao0zt/vre5rt44X7hXivdz/qLcwIMzdjtdlxdGcoxZ8WHYJbOtbG0jLTuHd56XGu7JF3RxWNrMW/oxYqGtt6U6OPR8dZY9kNE58XGvYBoBKmMIdBEOMSGb8IQFO+jzbVgbbDxcLDOg3ahkngcDrTh3bvdLRrSKVCg4sjRQYzIruLC0NdEGy+PdtdMPuEbtJz4+MUbvvb4A3bX18x3BVlmGBzpbM4TbjT9QLo/0hocdntcCKiaXZb0qGIfg3VwSuF6f0CC43z7mt1hzzCYqHP1cl7R6aaX+fyQerNZRrVmTrMPnvHqC/v5793G1wPqhSGENu5PpxOCZxz9BkBQar8v9vyDtzRLrRkphaQVxxVNM7kkEt1rtRVqF+Y11ykEzoETduNuo3qsCX/jMG2tZnXWsTnPqaOmkcE7i7vdBFD2JcWjrhLHAR0i3iv5nAh+NEpeAi0Z3/nguzFyvn3JOA4UL7z+7FM+/sEPuH3+CWleWC3nWmuou+iotnG7rY09MdA9RP4uz6H6Nehizeq18aedftWqIWhtQ9JWn30TKKkouSZS7RxcIC/ZAIqcaQwsObGkgjpPbTa26ffYbNlq9x5WS8mTtnVBGsp+tyOXewBKVYbeFl+7CeJXbYx1E9fx9JCzHzexl+3NRgEUuvkwtaP89nO2TvYXQtQcgVDTLdQeR63Y51zddX2nkfRNESdCcIFWC9rM4x/1CEoMRsOsuVJpOLHujdeIc2YxaB0YK0nLSr/YROYrgizb57LIejupr0guqNE+ML9fxUSlYYgECbx8+Rnf//73WY4nhunqATWqUxqUjS/9+cuphZrRv2elVrW2esVfOrMP/7t1opqSiyXwffrZC3LXz9YqBD9wnjO/+z/9z/zO7t9kJpFPMx9+5UOG/c1FqLfapbZLjaK1diu3y3t+uL/KiorT9V/r1uUCqFHuhmmklUxZjualvtvZmG08mEcXmtg8z+ZgMttaNcs9/+8//iEfffwZ3/2zzzguiU9ef/bOItn7wBgc07RnGkauD4+sA+dGQrCAtlwLoQd6pZyROAC6dUp+mutnokhuqtz1BXc9eeW8PijBqeC/hIsI8NnLNxTuORzODNET9zuKPMI1mIaBR1ePSSmZwrL63mDyqDicWja90L1Gq6XOtbH/OZv4zTlHrkZdCiEYwoo5PDg1oYP3HtZcc7W2mA/GJw6hU8VrM+cDJ32CaFcCm1LeaBBWMD70CYbOSesbzRq/O7dMmu959ebE8XQiFfPRxPlt8xyi70riB1HfrM4VnzNA72Mn9IV/Wy+rtdVLWaNEFZCtyFzfX4j2b7VBqWtstomjtNnvyan/LDYx1s+621nSVQuNZU6IeMbRcTxanOsqOFDa5vhg7c2LT6cp6et2n7z3DIeDTcZOXXDOAlhUFO+g5gpaOUyRe1Hm0qhO0AqiZ5RAw56PGypCJeeGVkFcxJSRgVoz4tUs3lTfEj5YQWxt97YenLr327oIxuagVaO2SGOeM9FdxHvQN3cRHNaeb0231LYvzKtWUG+di3NK3J0z55JZFENaxJqkfvDoPDNNE04deVlP2Y1cEl/56pPusZuYph3QtvjgTmyxRT94Vp/jcTeRmnJ3d0aOcBgKojAMFiP71CmJhvhMePoVQ/RjRKYd2QVKbki1Q5kPgRAjTRbUv5uqsut/7zBxy+5wQLyz+eg9dy9e0mrDx2eMRWlvEsXBPYXr/RVTO/J+UMj3HEImt8axnglh4mr3iFKUQ7Fwh2E3ot4zlww4pjiQcmUpyagEzXFqM1ePr4jpzNOnT9l1bvk6Hi7c9T7fQjDuInaAMb68HezGEI1y0SkgRsG5FJRb8dk3nt1ut42VWjMxCvvDYAfDCjfXTxjGXedXT9Sa0WKdNQe8tz9wqjP1uHB6/pL3vv2MccxMozL5QN1Z8diaN1FjzgQM8a61UnoC6DCYWv7m5ob5vCA4xjhc+JDBvOe1mGuJ4Em1oF4JzjpwKtYtkcMBxdItT+czX/tzv4Ew8IM//S6vP/qEsVY+fvExh6dPufv0I34ksNyfoFT8sjCf7whNjD4hidyKtXdHpdVG6rxhvyilQK7ZKAOxodF4pVUreLHEudhFdyWhUbqIqM9r1u/3RqHpnNxTrngnxDDgdsL9cSblRg5mOXd/PCKtUkvjgw+veH2aOdVoKKNzxrsNERUrmJtUJCo1RnQcOOeZ/c3VxrcvKK/vZ/ADLdve6mMkFRNXhxBpLtDqso29tRjaDlpdrLrbTYhAqYlavXUwmnI8no1SMy9Gi5ri5joUe/GsVIqa9gYaXo3bHH2jkaitEuJIdcYLri1TW+5Jg9JtJLvYL0YaBQ3W1qdTAwbfLb3U0Tw4yeQK1GwAV6v4ZnvrGtpkgWVdSwMdyFkLXSUG69KVai36hhJuTDMg+cAPf/Axf/x//yHf/M4v8ngYLV3O9QL0c4eNCxC2anpWoKNa5LoIg0ZzoOqF7GUdt/Vg9UuO4inziT/53o+4Owvj4X3kvpHSLd5PHE/3/J2//b/yD//B3+ev/Wf/CU+mPccXL7k/Ljx79qxnKRhVxvc15QIsydrkeos+0lojawPvOC0LMWeC9wyTJ3ZaCSEwXV2x240kuCTdtob09XkVQa+F8ul0YnCe+9OJiT23dy/5G3/z9/jkxRvc9Bjvhenq59+55n/4/s93HdfUEw/Nk/2+JsJgaYTBB548uqGmzP3xDNoDZNo/Y8K9DUnubfeHC/67kJLPX42ACJyPJ7JrXAXFxStqTizaSMPqJXpZBNbixIDjjojC1r5UJz2VpQdj4MzkHjW3BuyErKuPqQjOG29Ne6R2qnWzoAphuLQkq52sUVN8A5sAECcMw3hJZuv0Af8ApVvvjxVOrXsXB3KrlHZGGWHjrVaaFoYYN/TTeW/FeVq2CbK+dmvdKq0XXhsywKXtY+hUfguF2ZCw7fXWJ+s3pf1DxPyhwn/d5EWkx9xaaMj62iEE2Ba1FZl+KHS43JeH9+eCpLvtwLFOzuBt8w3emTi0Kc51t5CG+WWrIwQbD66F/n4WcIa+rXxxe+8e8RUngSZ0MyNvPNW+7qxJhM6/3T3Y5kHDDgntYdG7jn3Z/iwSNg73T6Louo6YVG0W3hAU9dU2SB8Z3BrFbpGupeTNGcI5h/N2Go8xdlTS3mN0VsSLrjlLtokLQurx07414tUOv8y0/KCj0RriYHBCcOBCYz96lty46xHXYdxTe/hCUfPtjsHhKoz74Z2f9VDtkK0d7Xq8dLvFVHGhQbH287k49rsdkwvIGLh/8TF+ecmHTwK/8Y2v8rf+8B8x373AxStiaaiPnF/fGWLmbA2Q8wk3RKZhxMdAdgPBK6PzCJ5IoPoCrVBr5ny2WO6dHzuq6/H+QrVZr+3PYohNVYOI1PUSps+R9fmsHal1jK9XSmsxbutPqQnvhXHqEewNxnFHqY0mCuIRqbSq5JyMw+qFwzhSAux3A3k5br8nC0CxBMTa42+HyBQNLV/tGVeh8br2ri4DznuymliztYaWRnCFxTuGfRc+OUfbdAaJpJ5axagcMrJ7+lVSVlLKvH7xnCFnxuMbVCvShVfHuztGP5pna07klimpkJczKSXGBzqXog2vgoxG+RMneI8FE22dKnOHUXFIywRxG1K4uugoDqnWfrNsRoVgrwmd1ykW975UJVXITcgNslqRGDy4YWA5n8hihVpT0zT0VYSChR/5YNzuuTUSjWeHA6lkxt2Ou/nEORdiHI264r25jKha8Ykhtdv60juHcBGE23Zo97mUYgXOOo/xpFKMztQRbttObQ0JtRrtROhOpAIS0GI2a04sXdD1RD+jSjTW0BHnd9v+sM6P+2XB+Mmd89/vf9WLTkbVXBTEeUwlYvuk8x6pa7iIFYQiiu9aEXTdkxpI6x1FYbV8pScA4hz4gfNyMkBBzbbOB4d3FmhiQbQOv3ao1w7gqn3qd/3SvYbW/Bf2yPV7LmiuHZ5vb2/56OOPKXgKwtXNExRhmc9UAofDI86nI7//f/0Bv/mX/gWGceK+i/tba9sB1rFt4oawK5st5fpetlAizI5Ve420pIRbRfPdSYx+/w/XV/gYOJ9nUxbZA3trjxYRovcI/bP57ue+n9hXYbh+HxFlN7x7l7vaH6xOUiGr0nIjO2g1kZIJy9UJp5RpyQ5LtRRy1bfWy3/a9TNRJIsYWqwNWj/R62bt1Xrrbv7Sn0+1mm1aacyt8YI7piHw5P0PwAlvjvc2UQuE0LqSPNM0odKlCx1lxfX3g7WKQp9kvglHb5NOXM+hF0tk2lp1nRM1TH3R8DsOhx3X1wcO+5HgtLflDGV0zqGh81BrI6vaoAm+C9ewU29TYi/w1uJwvS/4aq2sjtJKXAh1JGvDu8GUwfmI0wO556ojQtGL8fl6CHHOUbRYxHS38lktVKRZUMtmtWNqlLcmtYhYbKuRAPDREDI0dpeBtZ1VuLgwXoqD1holn61t1ukOghXFwzhuDgtr23oYBobojSfqLvSKVWy1FsR1uSijbWEQap1BbbG1x6LMp1tuX7/mNGfCzqg1UzRD9rrYz1aXQBcqB2qreDVnEBVzWWm9reTE4zybWLCh0DcNnzvFxF0cDlSV3JGXmqw9HscJ19L22cAOL+ICIta9MIT+SyZGK6QCx/MZWuNUhSxKJBC1MbRCKZlFFwYq5/NCcMIYdhvK0ZpZSN3fnXDiWZbcLa8slnlFyzPdVzg4GjCnM34K7J7e4JvgcoKWzJZQxAqqUvE4xttPGVJjOCZag7liCYrXV6gEKhbaEupsiDX/7hc+qv7j/3M7bFeF5ydBYqDsJsJhx+NHT3j8+DHf/iv/Nn/hV/85iks8e/aEP/2jP+K//s//U8bza755PTLd3/LhkxvSm3tSaeR0Ir15Q0XAQylK7TXP0r2ijy7idzseffUrhGnHEB3xcM2b+zukNFObr0ExDwCATZyHbUTr4drGsVDOFoOsahwfv7N/y7leqC0P6EoPBXtrSpoJcJXnL57z5s0rYpwY4hWt9kTRWog+MA6DdcTUbBzDODBNEyMzX/3wCejCGEbG4UBL1VqsKMNu2qzg0kpf6mN+pZiICH6ItJRJMiNDYHFKRJiaRdnv91f4aUCxOOBScqcbNQuqYGB0jjnNXL/3Ibz3DcQHHj37gHEc8XXmyfXA8T5zO3/EuB+M2mPu9lSXUfFUb5Z4bVdZ7hdaMbAi9CJVcy+0HGSMgzz60fjb3uNjo1XPPjUcHl8Vtx9QKQgBqL0IhtwsRMkFTxGluYAPgdOSOLXGORmX/5ShNqG6wH4aeXzziOe3t9zf3pJ790KD7S8OS6ZtwcbAeDD6UZwiz66fcvX4ZtvTnt++Zgw7Qhi4mvaAI+diRaMTWhPTXjmHc9qLPesmlGzUktgR2mU2F5hh2NNYiNGAnJZNXL3f7ykoaRU0q6LF3JVShYYHP+JcoM73tqd4K/7jMFgQiwgSBS/gCBQntOZIS2FFkhftvOXSefdub3+fza4t9ojuVgWJA+MwMtK6MKxRsqH/1vU04ap1eAwQuOxplaaGftq6Ynvak5tHiB94g2e+cyy1cnd3j799wU6vOBxuUBV2XvrzYjs4wOp8cin6Ud2ctdY9a6VmXhwoulOP2liVmjkd35CakEVoIfDe19/j8XvPON7fUpbEyxfP2V/d8Df+h7/JbWr8uV/+83ztw/d5/eoFh8OB6+trWg2M3dECVWoutJKIo3WiHlIaV4pdLSYkFnEc55laEv4mGE0kAD7gvHIIkemwZzja3nOXjQLTxl6gdt3N9fU1p/sjh+sbCJGPPv0x0/VjbkYhyYHBKaGd37m9qVZKrpZDoHb4NxpI483dLXT/5c9evd7WSFrXQ+wPX7JpfvH62SiSFUgZHz2nxU4eftdb1r1I+kmydlOCGoXAO8ecHffH50yHPdO0x087inT/RwWp1nYR8SDJcGIZNk6TNmE5zdtAFTG1sp8GJFfykvvJx5Dm2rm1c0dhAyOtJWDmRq9IqRG9shsHnIO8LKgKo98TvBVESzPEeRhHQyBrF3f1BDkfBpz2vHTnEC14HCkP1PKKXF4QHER5xm2AUK3YchVUA+qKnRnVvAu9QNhfb2iPc1bcTCs/SvvEzoZitdjQUtFsReh+t+Ockn1m7yhpIXqPV9ugg7OkuLIUpr1RI4SVgmBteu085RgjrkfuSqfcnE5HWk7Gh3XC1TTw9PE1wQtXVzfcxImAcdfqAKkkcquMdMQqxgsH2QdaK5xFuoIbQtwz398SnHK3nKAJ5T7z6vlr/DByzoniBurS3UlC7geKgNErIs4H5h6xOk0TNSu1FLwPxolvlkSId4Qh4FrFVeGkNqZct8Ar/VCx94ZgSOthLs0jDWJfLA2Rp6M3dhAo6eLn+/nrlDJPHj2iOqHmmWXODMUKF1+VNzVRWkFOlWFoTN4bXaBzxlMpjGMkn6tF4tJYklogBBYK4+2syBY3XOkCFZsnzleKKqMfoEVKR6TrfEYEdmHga1//Bt45BvG0lPn0Rx9xPp64fXO/rQ8e8N5xPb57HfhKtH9Pff4WaaivTE+v2V0/5smv/TJf/5Vf4rf/g38fgvDJp2+4ffEJv/kvfZNP/9G/wv/21/8r2rRDQqQe7xgQ41mLrUVNTQDSBuOxBnEMFaiNUhrn+1te/cEt9woZIU2QxDF98xe5uXnMaW7IeOQmHkCEJZ1tkxrHjV4BvVBw1tqNkyHPqxvAKta7tGLN03QVSzmPQXZL4TyfrRisGZcS9a7wg3/yZ7z37APCtMeJUR/GaCFGJWfAsxtGGM8cs4EEj24mvvULP8/pze/hZUdgZJwS4+ERd697RytYQJPv7zPNZwMDRHDDwN35zHXc43d7Zq1IUa72B6oW89N1jvP5zMHB9NiKwvlodno0R06J4BZS9uTrb3H4uV/EP3nMy4+e8/qHf0Z6/Rlja+QlkbXgvSMvM9LMgtLoXZFSFjQLOZn3avOW/uW9R8XcibyAhobsIgRhoaHnxHzONBXrWjpAM6VlWtyTYwRxnJ2H6lGtFmNvSVNUb+KyFhwnGmcadcmcZ6XgkRihLeyl8JVnVzQ98/yT19QKLlbwdpivLSHBE2IgO4hDYHg0sdvtePz0CfvpGXM+c3d6ze2bV5TTicPNDfshctgN3C+Nc5lhGJnGA1ftiiWDFnOXmkZDjs0RqYMkuqZMOsZpYpomljr0gJuAD0YJult1Pq3hg6Gqx0VNMO89S66oNBMwDzucEVJMrKwJN9rBWZsyhh2ikOaM+IjuBvP5B+a6kGrhthyBxi5OiBdK3fXMAYuTrtIIknHOA4qjGAVEGjKOlAa5WIveKJGekhdEzV9bS6W6CVXLVBCM7uBLIyi8d3jE7Bx/5+/9HmcHv/nBDcvxxG7YMRwGqprby6YdYs00aNtaqWtXc4gE543u5hxaodTcuwrSLdiUZYAwjrz89MSLN0fy/Zk8Wy3z6vWdUSjGK8ZJuTo7lpS4m4/8d//t7/JX/y0lDAeePj4wv3hFnQtXV4+4ffGG999/nxACy7J0yqfpFaZpMp1AL+DP6WzAUnMUrUQfOOdEvb1j8IH9bmTamWg0sCMQUJnI+cw+mCd7y8047bUSXMS7W0QmPAu4gc9+9BlyToy6Mxs9VUp7d/BHexDKVaqJ5wGGeMXgAlWc0aWdIMWK/OAawSvaufo/zfUzUSRDJ4GvkD/g+0attf3EljI8QDN7W8M5RxwHC0tIiXG/6/xatwmlVmHS6ploV9+MWjWBk16oH6UUyEKoapxjO4wD3faMS2O8pAxitkpgiMput0PVRBbGJbwgw+tJbRXbSF2/x18I9mu7RS6iNFUz1bf2pCmIq0UgoeJQZ6bZotHiullbU110keeOnvcvoGEm9WvbfUWqpFw2cTC/3uiD0VOcEOhe1vq2n/L2vo2GvMokAXq7a1X01q0NtrbN1gNKyjOPH39ohWhv/Vgww+XJOec2786Hp3L7epvqsb5/+x57vegHXs8Lp7lY8EUwu6RUEq0K3q2R5FY8PSxMV56osIoS8oa0Sxc0ldbbuQiDN45yy9YCEm/Svv7qViBvIr5L62v7om3tOwudefcM8W6gtMq8KFKtrV5ELXCnXl7T9/cn0mg46540Q9BNXR9AzO2ClUvX36/a/9nESdrHiIrQfJfotIajoBXyYijsOPlNrHl7e8s4DBBH8nnmNM99A7Pv9R3dMpTr3Z9V1VB1G7KN3W6gjAHxkd31DV/7+W/z4de/yf3xSNwPvHr1Cq3K3e2ZmjLXV1e9EM0UGtGvvHLBYYfrNf/kMhetNemnwFCECXvGEY+PSm2K10YAhmBo3UZLejB2HtKo1v9qH+OrwE782rJ/u3tjXfK3uznTNBltrVrx02bh5cuXHI9HDuNjm1MrDWIyPl9JfT5UJZV7kljx/JWbJ1w/ecrcnqL1DjcOjMWeW+lUi9hju9d1KjhvtK3Wn6ECrXWu/XoYtrVu1xMzSymkkrl2VzhtRG8HbZVGDc4QrDhyuHrEtD+wOgbd39+TUmI5ndgjEI3OBmIOMJgNpAUYWXCHDdq1bW5JcbIh8P0gXxvNCaqtt/VtbtgYV4vpbWaVJs0SYcUZXUyds7XWeVhDmfpzWr1yERMk0hq1LXY49o64nzje3ZojjnNmZepMCBtdJE4RH4Qnj58QBwuJGIaBcXewPU8TS86cTgvazG1EK5RUKamgtbEGG2m/D8ahjaxy5DUnSMVtYx5cX2tg8IMhU9gaPMSu3xCjDjgcq/edWfAVc/oACnSaiyX7res2asX2Kqb2WOhE9L7bApoo0jeYYqAFE4fGrjnI/bH2Rim2y7S+KVtghbo14c9oGqUWEyqvXRcxGhnYeNGOWjctiDbW+mDd21prpJw43x/xzlIlS1lDg/yDdeIy5/VztMmH68nba0Lfu0Q6X7wxH08MIV7eQwhIdz0qWu0TdzH41dPHhJwor2aqen7/9/+Q4hy//W/8Fuc5kWvieL5njAPn83nbN8EolyJK6bxwebju6Nt7qWmUMtTG+DA/uhdy1r21jok++HxrDTME4/fTCjlV5uPJ7nstJvB0JhJ+13U5gFQLu9L++9vqHtTpjVvwlXQP7Xe+3JdePyNFshWsqkrsCXAjQm5m9dKQ3uL9kp/u/Ne17VxKIewip+VErpXQ+TFxCKx2WSLGH1R25LJQSjbbMJehlUuUsBiHd4gBL9k26Wb2Njk1PNMqymUtVoI3EY7vnKeihdos89771frLsxqEryKClUJQG5uY7WHBB+D9ZWI559jtRqI7cHV1YJ7P5Kyc/Gh8Ued7USNkedBK6rcyl7xtwhsVwgcrttVU26GHRHjNeGciJRFrWYQG3dbAPoPzjPtxC3AYY0dAUcQJTi3Vj0628KNs6ENrlk4nElmWGRGzkktpYZnP/Mpf+GWePXnMEJXdGKlqpvqtc9hjbxuVnC4cZO+MAzgnYG1f2cFrme2AkGuxdDQ8f/z9j/nxyzuSPgGJpArCuD0Da1/3NMPeElsTB82s32KcQQhD55z6CXyPOW8VDxx8R9xK52r2EJyVXy1qFnm1lB4XamNrpQSJS2izBWgcwiYI+/zVauTYKnPOuNaoIugUqW9mcjaBzMqNbxVapwutC30m0JZGPOwJOTG/Ohq60ObOjLRCGsziStVsBp2TXkQpuZgQqax8t2yfMTtFY2HRzPE4UJLSopKXhBKQIAxkvIMYXT9wKrsvoZIJniaGrOICw7BnuNpRn36FD779q/zav/w77L/6Aef5ltenxMvnL2CuvDh+xI+++32cQlrONK2Me49Dze6rU6O0WWKYHZgVxLy/ncLcFhrmruCapaWJNzul3dWByTdOr18QD4+3cI+VtrTGX39+Mw0h0EJl3O8Yg60N5cFmtR1w/IXuFcShPtCGRiiW4GYFcSEt1uEAR1oyKVmARG79cJ170AkVFz3iHJ989il/+V/9Kzz9+jc57Sun6ROomfTmUxPJHJ7Y5wgBF8JGh1J5Q87JrKAEmqvMfX3dxWgiwZwsXdRbiIFiNnRSB7Q2IsXEtXlhaImye0o8vM/1N/88+ydfJTPw6rNP+bMffJ+Xnz1HzwvTMDDtRyi9VVbB0k5tmyu5UHNDqmlRmm+dNdJ0AX8uAAAgAElEQVTM4ks7R7M1am7E7l2vg2dpBbRT45rCFE13IIq2THSu20F29UGTLc43dY5yw6whUxOqCm0wT171lWk3cPXomo9vX3M+n3j0/mO0VEa/I44DV1dXhjiOnTLmbUz4wdbC18eZ9Po1t2/uN6ej99//ClMYcK1xvrvnNBeaejQINbfeAbViUARKW1PrsGj11oiBvl+BduekQTyooM2SWJyDIXQrvxa3z//oyjqVg6otcqvFml6E3qsfv5RIqabxOKdm7h8KY1Mm39h1CsQwho5udtvEnPBqrab4QOCuKmhLSNd52NxUshaCGxBnoAAYjaEUrIPXAQ+aoq6aiK9TiKxwtPRP760DcHub+eM/+i6/8zu/TdZknGQujkQPi1/nHOIH0HKhXND3enm7GF33sBUIUlWe7K4ppfD73/0Rf/Qn3+OuKOOTx+YOsZxR6VQIZ9acfhmZNHPFEz766BPu7/8eV7vAV7/2Ph98/QOGOvP++BVOs9nnjeNIkIDWM9KEogvB+bfcjbRUas9syM4TnBW/1VXCHHDB42IgRksrUGcgi+qyUUke0k0izugdEvjs9IYlGx9dSNRyC06JLr9zzbfXvDjKBNfdtGqhVaOTGgAlVMxatTY7OP0z55OsGCRuk99tp0t1q6irT7Ivud51MkgpczX25PKciCGgnZMreOMPiwm0mnpSWqhVCbG36jO9+raT2TgOppBdi4F+wnPVxHtOpCO5ndujlRYyWjLn8xGphfeeXm9hBStHZn3vG+fUmdn61kZ4oIh/6HKwCrccFn+9n6ae246d4mUNJTGRYa4Ljrc343VRb63Q2kVMJ/19SC+SnXNE2HjUwXmGEMnHsw22lQvcTevX97q+X7+inmJcbgvDaBsKUGujqjMUplMjDJS273/65IZHjx4xBMc0ect38W6D9uw9r6j/KhJ8gAS0hzg/m/ApdVTax0CaM8d5QcWz31+TCDgJm+Wd8XNNcS8ijPFSnKgqqZrx/ThFZBNNdp6xE+I4ILXiWmUQC1wY42iIxYWcvZ3UXTXbsfX1H359HoH4MrpFrsroHI5ITjOFZr6zamPE0DETTslgPDOlbnaMrUKthsLQp4N2z3DXUX/hbSRT1RxSGta+FrXTvDjfkQXfERdDZ8OwolxnzsxIU5Kac8cKnvYfRZzFAL/rsmdjQhvnheYcbhzZPX7C/ul7ECdSFZZ85Pb+Dfth5PbNK0KBadhxhzCGaGuN9GfuDFgydN+4kpdn3ouJtUMips/qLl+kUg0BqqumIm//Nc6re2v8PHSY6RPc/IJD6Iu8Ua0u32Nfhvv39cH6RlStiLs8ExHH/f3J2sW5kpsdplUVSf3gtdFmGrIoIVbOp3t+/he+wf7qmvP9I4arjG+ZWhPTYcQN+62LEmLET9byHq48vmR8GCl5ATlS3EIj0MTZAaKav+k8z2iI7K7Nb94OO73QLJ0v2gQ/HJBxh5t25txTrHMTxNGqUZJyrvicrSBtdEDEEbwdnkoplFzwxda4Wu0hqoJUC51QbXZAslWwF1KW2Ib0kJi+T4mAEzsw2Txu66OjAVVs9yiYG0hGWcBs9ESRKDS1kKlhv0fjQPYL0/UTZAi4SZhG843244DEAC6SS2aKI+ocpQm1Nk5LoqSF2/uj6SGcs06GN+peTpVaFLzFHJdWINCLnwStEsK4oX0XSe46hmT77AK90yqU0qjN/CBE2nYgaX1SqHSU2a1dRAPwVY2OY0g7DD0HILgu/m3WLVPvWUpFDO8hxEAqhdQsN8H1z098u7vnnAMxJB/Mf11EaLUYW0781tlRXfcssb2w2jiIfkDV2UGgo96lB8P4IESdCHHPqxdvOJ8Xxsl807UV+93whTV7fW+fT139/Dr+sFu1PpS1UL27u2eZMyGO0ATB4aN9Bt+DSVDjrw/7a+rpHvzE6bjwD/7+P+Sbv/hz/JVvfEiMkXNamKYJdV2n1KmjqAX2iIKXy16OGCd+1VBUD3vvLVlQoORG7Cm1D8Vxq+PUQ/s3sN5F380450LF93rwUofE8G5HIy+rfs0OvcJqmWtrpYHZ3Y4V7V2VruV55yu++/qZKZLpLc2hF8md6duFwfKWd9/nr+1hiCXxeO8RKpIrWhfcvODEc66VGAe8v3j1VXfug9jszZybuoVN2RDTkg3yd9oo9MnmBGKkYXZu5qNsG41v4GKgeduAQggcrvedTnFpNWyfXy9t2IcF5vpvKwfRClubDGtbez6d8L4xxsA0RJBIzdEKzl6s5GK2dCKG4Abx1s4Sy3lXsdQsAO96ClBv86++oQM9gjYVqnSRI802BrEJVluFc93Myrf3H2MX8/T2tbPKQqugCDVZkRP8SHVm4WWbvLVo//m/+Ot88N5TSpmt3VQLMlzazzaRrUBYkW5rnV+UuA8LkpwzLSdSLSxpMZQO3ZT6EhytgLjWlemF1nIvngJr1LS11VbxnUNbRjQAhRgHO2PlhO/HAqEa+t0PQdbVNTeAqg1xPXLaRTyeljPnznleKSYigtS+CebCqS5fOi+mnfneuo6YN63k8xlf6pZut3afSxMoVhCH4InRo93+sM5vcG1h9KAp4WJf9NXoTQ0IPaK9Njsk1lppxWgj9KJcmiDSW58NcIGS4H4xztnK0fP9MBfEGa2zGHXJO0j13Z9Vm5hXb/TEcWB8/D7x2VOuvvnzDE9veP7mBZEK82eGxN/fcuOUko/cv35DFOPV7/aRYczkxZtlYoNueGuCVhGimItGzT0TMgPO9zULs+dSW/TdUkhJcMPeNtlSNmX55zeS9e9EBC+GyFhk+xpl3du0/X9XVfz6GuvG21qxjpP0MYPviYK2fhhHt/aNrlqEfIggmMepNupyoi1HvvOtb/Dq1XMeP/2QebpCKCTneDOf+fovfLsnYNYNIa+1Mp/vaSWRT6+py8zp+KZ38TLUBClRy5EYhNP5RHaOyTvcEMgxU5YE6yYnO4bBE66/irv5AJ2uSDQcM/PdHWgzP+DjkdaUU0kEBXFKmM3/9jDYkzkvswnNsn1ml2z9A1CsChOtBE+neoCv4GticAOlNZazCYvjZIu9GypuiNQeoqINcrVgitL9jev1DnXCUgupCW3ovtKh4UUtaj1M3M73XL//DfMNTwvBK4fHe5wLnM5Ld4apzLnw6v5Vb8fbwWZOC9EPxPEKoXF9fWCcBs45k3u8ut/twU+ENlDqSrMImA+HMPUT6ZIrIUBKbROmt37YH4aBVjLe7xECtQUUS+PUpvjg+nhYGOLODuHeaGRenAVNtdYZyX0fQ7qvPgwu4ppYYNJo3cF5TszN0MyWKrVCxpwjBglAw6nHu8sJ2ntP6l0gQ6wdOZnfSKvmI63N/t5168ohTiCNsswmkE0mljTbIQv4mXZ2ctbaiGHi5kng9Y//hD/8gz/i29/5BldXe9J55urxk7dEb5ugVhwxGiDxUIjv5EKpXH2n7d+k26823BhxOlEbzKkynwpODIUefHeDahWtyvl8JsSRm5v3SXEPzVPOd/z403s+efEH/OZv/kV+6Ze/w90pUbsQ/nA4GEDnwgYmahO0dB9r/znKhQi1KIu3BFehH7JTYZwcIdL3rtUtpSPw0PMUIDvF+0BV5cXxzKtl4URAXCBrM5DiSyraEI1OCp5alFq7+N/4kP0A3T3BxewXJXiqqh0Yf8rrZ6JIBjpny/6/iFBq2/5C+ib7k66H3FfnHFN0lvBWrYUsdW1/9FNxR9JSSX0wWyuy1oaplC/FqhVc1RQ72dwkVvcJWsWpdrWwqYqj2mRotXGej5uAbA3jGDqHb7UQAzbENgRbdNZY3PJApLVylNcB+rDYXouolgVpHRHrCwG9PeT7/THTlctADZ3TrKqMoaO//XWlLzJaOte4Vkov7MYxUluliUW/AsQwfq54tPtesXa0itJ66woc3kVyXovuQNGKD5fjcwiOR4ernhREL1TtZOiRDdlYn39rlgDk3MWYXdQmqhXVbVu4HqL3wzRyvd9R20LqqGBphdYMSWiaOmfYRBTn80xrFqe6PrdSEqWmTtXpFBRRQ2dLhVo6TcrGV27Gv1u6RzjOUqdasLRIM9+/BIls3rpc4pPXdv27rmGI0ENgnAtIa+TZUvVWRNyJw9G24JJtLnkhBkFawmG2VOPQC6zGtql1oBgnKwHDDPRLh1rFYSEsTbq+4BI1q6qkbKLAEKxoL0UpotuzU62U1hFlcaT87hXT+2jzM0bCMBD2e2QckSFQpLEsZ1w9UE5nxoPw0Z/9kCfjFa8++iGn04mpi8fO58SbGfaTfRZVeqphd6DoNb9qp3c1mFxP5gwepYErlG4BFYYRCYFSL+mh2/PUt4vk9dp4yH2NEO9x3mgAX2jfVnorWLZ1spRCVUNhlyWb3dk4MQwDaSksqSCYWLbU2XiPzX7evGwBrUQnHA47XrxMqO5QceymA4+ffcDd7Wuaiwx7646dz+aXG3qLs+QFNFtwhioSldYGdFFqNt/csbd4V1qZcfcLuRVDNpvixYMPxDDhxh1+NAGXB27fvGE+nvDec8oZZKCoCXOlrc+uMXkrkmu19UuaDShn6VWmJ+kovXcXXq5KpzcXC72TZkFUoubqYm4I5nZU0E7BElRNqKUYWhpWpC4nvJqQrEVvLX8FJVLwPLp5TJAJ5yLPnj1jnu9J5YRzynE+owgxjsxpQbOhcD6YY8boPMENHPYjd69fUEpmnhuoN6eQVok+QvCEFroIvBeJMZpArHvgN7HisApG0Vr34d79XJYZVy1iOzeHcxEXYh+rAppoAqkH+CgV19bXsLWnqt17A/uDrZulGgrbaWi6gQkWea8ilGJCT+8nBEtHlOBWAt82twTLQ6Cj6kiwaOkwILK6yliJviKcKxptXseCDEZ5RCuWGGgpk6LV6hPAu8gwDNzd3W3uMuv+9665/dB9ab2n6/WwQ/gW3UKtq5pKJpfCPM+cTiejV3WUd/1VuVjHcxDfOyXCNO1ZhiPBC29e3yGt8N0/+R5f+/BD/LTrvutc6gvne9fZKoXVJjA3e0Zuo5Ng6cEoqRbavKbe2sLf1MbL+vPr5xKMgrVy9cXbGNJg9MjWJ19pzeZaeff+ZtTDBmpjzITNQvWGKK+GCq01QjTHKRNnae9W/XTXz0SRLICosxo0VyuavNtU+AL4n1Akj6GfxjDLI2kZCQNztpbMkO/YR2sDpCUgIdjJEMV7K+qCF3x0eO8IAVqpVC0474he8BVSNX6twzb+NpvBUO7Iqnmp9s1GG8dUOc+J2/uK8yfeezLifKAVJQpECk2nPok7hUKEWhd05So66QtcAM1oW5EjK/SJwjwrSxXuzjNw4FwzLRfWVCMno5n2O4dTEwN4Z+lBqgqtoX2inJZeFNeC0ojOJuqWI2/yZ7Q15nOFISC9cHEN5mp85CXVbVLkZJPh3NvVU7DTby4nlGyRnuKJzTOEHiQjhePxjt/6rb/MN7/1DZTEMHpCHPE+ds9p27i089EViBLWTjShu2Q2X/FiDgUOi0YVd8CrMg6mslcV/H7P6eUtOZ44F48PB5b51Itq1wvrjHN1411bmpMhcaPb28RHqYshvAVHa5b6Mw2xFwHz2/SJLjLwGsFHE2311hnF6CdIIw62AWStuGobdfQWAf6ua/CBl+czEWcWX8Wx3C5o9JxVicUS7RRFeuHig4WrGMoCQwgcz2euHj2ifnrGx6F3YIwiFYrigUUV13jQrRCyNwGTeiXl1J0vAk3Nmi7WyuAEF7RrrawFilSGIGbOLzA4M74P0DntX7xmKdbYdoL3A2F/4Prxe/zCL/0qX/3Wt7m+ecoQAv/k/jNefu8Tlh/9mO+ebnn95hUh3yLF0XLvSGSl+GIoncc2+W5R6bpItZSG9HUnNXPsSApVnXVzJFNRTvM9bnTEKXKaC/tdQNXjiYhCzumysYshddsmWhteLHzFpvLn2o4CdY3HxFCZpSPEaVnwEkzQW+Hly88IQVjqHYhjXm4REa7izlLbOkQfnDBOjnkufP3nPuD58+eIWGfD+0hVx3D1lMe7a8YwkUOEGBkGs1SqtRKHHaEV/HSg5IVwfULbbBzS5ZYcb0n5xPnuvltHeaY4MMjA2EZKTqhrzApx94SrJ+9z9XPfwl0/Jo8Wc7y8SuTSKFKZP/0xY65oKIwRqBnn7bM4ccbDFXAs+EGIHkpaONEoJ/vc0dtBbH9w5nRBtzh04K6cJeOpQBCaa6SgSHM4BhID2TVybJTc0DGgcSQerpmmgRomE+6yZw+oOFIVQ9+935DCUAaWlmhtxrWCq0puHpHGzXhtHs2tcJgCjKaVcN6bD7pzaLOk0zQMnM7JHFXCgf0+QnEU59FmUe2pTMxNcDEzINQkxMMVzntKumXp6YT4VbAdQB2tBJoeOC225lqLviDNQjoikdoCpQQkrtQhMV5vpzsWGcwqVT1BoVVD9ItCbmxI4JCMF127aFCaWeWpCrk3zM3jSdj5SBVBtHYKTSGXtZvZUF1M4CdCdAEXHEOnAOCMXDKfrSgvRGq2eHBpjegcwxRp/ZlAYBgnO8zuC8N7T3h+95rTvJCX1IOUqulQVPFiYtZSrAtbcun85FXrUlHRjdpnIvzQqRSdNtgqIpVyOtEWJZ8MeMNdDpii3b8f0KuJUBribB0LT6+p84SeF2o689//j3+X3/t//ph/76/+6/zKb/xarx3sWRzitBXsTZXcu/mjDmTJfR80mlcV1wW8gXMuLDkzhEprgRgc02BzqLVC8J1S2QW9qhbqtohnVx2P3J45C8FFkIB4A8KG8O79zemEZqNFeSL4Rqu9A0znHQezrjUpn91P763O+2mvn4kiGVb+2IXD86Bz0k+b794cwdBGE4B07mguZvK+ttpLNSeBMNKwgZ9q7cPJW4FERx8xuxgXIrKityIED1pMOHdRBoMX4xVbG6K3iZ2jVO0nrgsPMUZjuvlOhv8i5eJtfufD6yEdY0VB1z+v8a8rV3H97KVVVCLON4K6HmICaKGJkea1t8xzv78lW6symp8UFkRsqXbrw9j4ZvbGUTFTcO2ekyu/cuMx6Va3AisnuAs9HtAgaq2EaWSez9S2MI4j3/nOd4g+4Dsi68RU0d6vSKii6hAu9+1h0QF0tKb/fe8kxDHQkjeBY+6sQ1FKSSRNtGYxyg+L2fV9tta+IKq0FvnbYxjo5uuQWjaNo2K0FC7Peh0Hom9ztlautRNzuXCwuVqsorGf1F9ZXzfnbHy5wcQ+NVv6nYoVwrW/rzVbYbV8arkyDJ7Sk99i9JzOC97bz9r5aj2dhK1Yv/DpVk5g72posxAEVmeTfj+VXoCuaJ4V4Bvnd7unHdl7xxWCtU3VR7wYuhNj5OZwzVefPWU63KCtcT7e8vzTH5NuX1HmmXq6p5bC2Glaq/uM0x6904mU2tQEbWKIOK7fg88hQRc0qLeR1ebSGP0X+Hir6PTh18Pu1fqa67V2d97igLfNmGaLwb3QLuz3rSgXnSvYuuhTa6aSjSYil/mYs6Frh8PhQqFIqcf1uk1kHMRv8+ChOl6iBwUnB4YykePIshzRlCw+ujpmXqHuvo/R7vUchF0cqHEgVVDviIcn7G6+QhyvUT8Yqi9CTqbAF1GCV/bRE7XSvFH0gjfqnqoQu7Zl8DZvh+ioPuB9oXij+fl+1tgP9prTNCKixuMeLKhAnUOdUbOyYkg/Zm1VBU4I1cEwTIz7A+7mGkJkdh5fezcJ+ryoeG+tdz84ajJxbanVupNVCd4zTdZ+d14JYvdWVHBtoKIUB1qVKhWvgVzylmgWotmnTtNEa5XmLOlOm3Q7u348X/m6S8F7paizuSwO74bOoVVakU14nrruRqxV1GOlLQa6qYEe0p0RLH2O7fOXUjo31BGd6YOKOMxRsaOQ65xfQadawfWAJtbafV0MlCZ2WLe1pD6Yh5c9MqWEGyZwtt+LXHjXIm4LFSm12Fqjzezx5LIHRNZ9n94R9Z03O3SUfWHcTbYvNss4aCKEYHPl4Zz/vJaj9T1LxXWRtlEJ1t/tOwJ+SgtzqaTSmHZ+W7ONqun7l0P9RYRdqATvzR+5TNy/PvHjjz/j7/7v/we/9pf+RfLt3dahXteO9TXXLndv5wGX918dtGqOYKUWAxlKz5FQhxcriL0PW8fr4bqmxVxS6LQX67ArzTWLeZdGqO+u/aSHuNTSA1lUzV5u3c/EFvDW5+Wm5RB5K9Hwn3b9TBTJqmztC+cc4qyNACZ+UJHt4b3rurQ2epRmajip1GI/VmoiZQE/0ZjxqtTmyHSuoQ8s2vAFiiaYG8Pu2sQIapPPV0WGQKv2QGptpJopqCUvifnGOnHshkhuyjQNLOmIQ7m5vqYlyyn340TVxjkn9h0RsI93Kbgebpoi8ha3E7HT8TrQ1mLIRH6Fmn0X0wkFx5LtRoh2ezwf0W654pyjYIsgLlA1G29vMB/pJSWcUwIX6xvvPWEYGQWOeUG19UOKt/b9g8281h5//OD5tdaoai1ywRTkDWjNEsJSSvgAv/7rv87XvvY1yvEW5yq5VErK+CEQdmthaS2z7bjReOueqJpjiiq0LmTMozdEQHaEEDi1W2gL12NgHx2pWnt+9YQGvrCwtVotIbJdeG8uXlIE15/JnUMbvCNl2xyQt4vkbR7UB7HZ6wGqzaaiE2t71VJobk3hsu6DfomHuHOO/TixsHCfZqIPPH76lE8//ZSi5l/svSPuBnLNRLGuRdWG9INYrcpyV/Eh8/TZDXc/eIH3fZF78Ey1ST+t98JfTNzX164LB1rAOeMPOm1ot7gS7/5/6t6s17Itu/P6jTHnXGvtvU8TEbfJm1lZLhs3clMIW3JhCZ4QDzwj3uBD8BHq85TggUYUEoinQiokEKQRMricTts47bxN3BsR55y991prNoOHMdfeJ27GTZIHpKwthe6N5pyzm9mMMf6dQ9n9++Za3V7r+pGSq1Hbd5wD6rZ9SUeijLz76kvO5xPz//Df8flP/pLf+4N/zP39PQ9/+2Pmn/0t9cuvqcuCnZ+o55n97R27IVErWPLpj6iLQ1vnlNTYha3eW/dEQ0N6DL08e25OYYJaVvL5CbXMOBw8pW4YsJgQVYb0vnvKdjEBl0Z6U5dfbPva9dJWjd7wWBel1Kso+Pz4yLqufPHFF5zmTBqDv69q7KeBUjplQLrdGV4YJBJffvklf/CPf5dxHBmGgTkfL+EgUQZ3q+HazG3rTUSIY0RaQsPohVHYY9Mtk8FYZurxgW8+f83+rk/DcK1HMeXpuDIMB05ZkOGW7/32HxKGA/HmI6pEtDViCCwlYzSmXeLl9+65jZH58S1tl9CyEDHSkLAt/awKg/h7vZRMSzDulB2Dw6+WGYKCFTRGHq26CPTmlqU+UMQowBoiBFiaEiWwD4OnTQbFbvaoCNN0S5pGskbOxVNfoziaI81oxdG0tTRCg5vDDhsnHt987aLe6KLd2iB0ezgsUFWxjRqQC9kaNQirVe8KjgWCuA4hGK0V9zVeCxoDddhxykKxQNOJqgMmlRach1qzF+SEkWHnTeb5fCbX5j72Aqc5Mw3REwZjIgQ6tcfvhdqcZxyHgSsf19P1YrcvO3R/eEUuVLVjzlALIj5oaQLH9XyhHVVz67rQC6bQC54qlSZOcYniAs5q6o4w3R7Vz2JvUhdRFwLW5v7H6laPIlzsZodhYhAv0LZBRWmFdc3k6tNajf0zb0Je4fb2pfsr2xYIleEZrUJT9Cb70ig9s4XrBTJ2pTwE8cj3bJUteCPGkXkuvH545GFeyCa0PPv36mcQ1Z/znBcSSlszpTUfIIixv7knYKz5xLt3r/mf//TH/IdfvOEf/vAf8vU3X3F/f39BSbcG+ZKYK/0s7AMyoyfYFXe+qjTojbZrIVzYZwbjMF0sWr1B6tHg0cOiLvdm9PpPNPahoyHhw/dbq9ugypvCzREs23qNBe8puqLXocF3UWG+6/GrUSTjYhfocKdot27ZoEQXBH3Xo2SfUimGWfCCqrqoIQSfPFQzpC6oeEKaSuiToHbZQIZRTagVtwjDJy4xBGKDsqzPOKLQNCB2jVTW/gucf1vVLkbkrRSq+r8NKfqvZ2R9t2C7ToDg6jbhG68Xy9Ypnf2Q2ERy+/2eEALznKk2doGch0NIE2rsm1C9YDOJ7l2r2qO0Oz81BHJzrpzA1RC/ewB7qIJPeZDrBs85Y6qMz1S9lwtf3TKo6cYXEzx+WS9TjM2LdBPSHA4HPvnkE9Z1ZRpjpxK5K8bG5L/wkTvv1Z59Fs8PoaBXSrtEIVS3F/SprEfLioh7ypZMa5lWoGp5byq9fR5uldUPjH4pWG2QhEsv0xrWjNytBKUJ9ElxDO8X3dvkj2cN0vb6rE9mBEHMUY9vb+/vytnZeKoiwpzX7isaGfYT2qM6m3nSWDHndEVg7M8v9UOyVZ9Gv3jxgptbyMt1br9xpPtYucccO68x9iK+Yl5QakcVei3Z6NMfvNkpzX+v/a4e1PpE2aFEny59V7P8bK+YEVix5czPfvIXvPv6ax5ff87Lly/58u9/zPLmAXn3CLWQT0fOT0cOn3yvT0ihlMaY9CJ8Rfq0zatUBCP2gx0D7ZfhJTVMhHWtlAhqjXWZCT0E6Pk0eVtT22f9fO8/n7hs/64+G6NfiuRvDQ+eIx3DMFw4yqrqYpXmaJLV5rQxgk+uRDuHTy6FxatXr1iWxRvd+H4svRsO6c9dOFtR4+r0vr8QRrxoYm7UmMgoUZIn2akiQ4IhURloQ2KwRNrfOWVDksO622VKZV0X3nz9mtP5yUXSUWF/gOiNerBGVw45Z7WvZ6fFVedBVkPx6fp8fqQEX2dFArkZBQGNDOMdp1NjLoWCMqWJNO68gRkmF1hiDPc3Lk4j0DRwXlbOy+Jcjpi6n7SfEZuvfauOfJoZJbvbBSrkWij4tBboTes2TIDz49HX5uA/Ow2ClMKQPFykdTePZr5uYoxIGrHaxbXi9Ay3ZL83AzIAACAASURBVONyplzSPzv97nLeheuaXEsXogUujij1ovnxoUWI709K3zs/+5m0NWVSvb0Ove/2GOvWY7oddTQVMKc0uhNLvwPUxd+lZEpHM2uriETymn/u5+8Hp0nQnmtZ+vfckKxOAcq5XYr52sR57s1dHKz15FbcX3lIEyrubtFaQ6tPxDcXqudN8PP3dZv+Wh/2bA1uEPc8brVgLfc1IJTcWHL1RN040XyVulsX0q9rR+JVFEol9Dvb96p/5uN0w7wunNcjP/rR/8HLF7f9RNZLgbyhQ+vqdQ/983t+d/kZ2M8i65xr6cmN+kx8+Ox8sNCuqIq/bNaSWbsl7Vqd9y3BrQe/a0DaukDEtsj2zUChow2tX8Ybx1k3ixV4Fsf+//74lSiSBaG1beFURBpxuC4YEbls2g89Utq5qrE4N1BJFK0u4EmReBgQVaI1giwkcVGCoWCZiJFxeEBjolDINfdL3InjqQFxpDwL1TAT9t2Hz8xoxWHLua5Ot0iR27t9785W7u92fhEPPiHaVOv+Gt+fQD6/HAFabZcLSUQuBWitlbvbG37jN36DV69e8Xd/95YF36TaXKE6ysAacVFEUGoIFCq1zChKtEhZhKSVtItY9vCH0C3BgkCIzlPKvViel0yTRtp3UcqyYrky9PSvb8Mqz//femF5Pp8x6QKzoA7ZFFjXlR/+8Hf46KOP2O12xDajwbm9G5R4sXoT3PJIjOYO8D/38zQE1IwSlFiF0ipxVE5lprZCjAP7lLi/vWGIgaEG9vuRUxnYvImfFzP+87fpnYs6zAxbrE//rgLLIXRLpLJiBjEkWlsuE8Lt0VojdFhrK1JqrUTpVm3WD51exMS+yXUb037gUYpPksI00Hp897wuTIc9tje0+vpZzjPTLpGPp4vZeikNadmhrwbffLPwgx8EvvfZK376N28uz2lzotDqsBtYL5CEKq2b8m8H6+bAIGQMqY3acB6p9mI7KCEJrceYbqdate6z/XMtQv+swwT9Uql1wY4n4k3lLgR4esP//i/+VYcOPSkvrplxHHn79Vc8PZ6Yz0e+/PzvmRdIOyFbo5hz2ajehA3Zi+JER6i6ZVjtn1/OkFeYZ7rNFExDJK8zY3A3ki4vcqi8FlK7usBs6+z5uff8Mt1EcM/XzOWj31CmZu4OIx620bojyqtXH7tDQvd6brWwHwc0d39pcfFZMKOUhc8++4w/+qM/urhWWGjEISJdTOdesPW9tXrd3xER0OgQuUWIJbrDQw7obsftDz5DTpHb21uHc4NTZiTuOD4+8v1f+zVuXn7EPA2Mh3vERrRWpAtz5/zIu4evyfMMaeSpGdPLW/bjgVuFSY2CcSqF0+IiJx1GqjXuXt5x9+KekiEF93V/++Y1qt1r2oz7T76HxMA3b95SNfHZeCAvmXdv3hCiINOEGBzSiMbAvC4clxk0MB/PlHKGqAQJ3MTuPLBkXysmNHW3nJwXltOR1hqnp8DcMiShWGGIgWTuKjRXd1zQYUQkIMk54OMwEsQpFR9/dEuTxrounJeZ4/FIHEf2NzfotOPN0fjmtDKX5HZdzmNAxF02qhZiL5ByzrTifsUahTV7utm4S4gNHE8nrIvWK8YyZ1KyXkwbU5xcv2LKOA4MIdKKu6B4Tk9l7Xe6jCMtzxfKZOrIpurYhyyCBnfNKKqINYbqJOXWm9mlNpfqSXNBtEViL468QXIo/+nsiEiKwe83M7K4u1PCm9giBng6qp/LiqKM040PVyqgPmQLJgy7A8MwkXMhpYMPIyRgwb0rK5722/pQ5znauO39rWC/3Autu1oJ5NVzFubTwtPTkYfjiVMptODvgeGhHmZuB4copivW7EKNqmYspRCGkWbGzf3HDPsDeX7Hf/Ff/dfEUPl3/t1/wldffcWLm1uGYeg0HW+wYowstSDP7eCaMIq4eNIAxOlUKeLJwFthLpfG3X3VzQPX6E11SKz57AO/YXD3Hx2oZuRSqMuHY6kZhi669HNzpbk1ZHf60EZPM6VrKjY6h6cn/rKPX4kiuWKsQ3JbleAd9iYCsuDhDSf7cCEAIGslAqX65fuEMdnA7c2eaUwM4mbpSzHGJFhdKLkQxxuWwWH+mgVqIZSFoO7dGq0blFcjDQPLeXXubZ/iqqovvBA6X9Cf4zG7JdsuNm6mgNgKFhnHl8wlQ1KaNu4OezZPAIeigvOXzTsx6RMbI16dGmQj6vtl9+L2I47vHvjs4+/x2WcHfvb531DbRAg3WD5T8pFdCozn6pvOjLae3V+h9VSgqMRk1LZSZwUZmEt1oYImL6RLRbYuUyFN7slcSsEkoDK5GcsYLypfUX/OLWyuIz7d3sJDhujFwFqd4iEinCnEKfK973+fu5t7mCtpB2aKNGE37FB17nSICub8RFPpXbzbGQk+sUFAQ6LUlbr6QbwbB8pSGJJQBfK5cDzO3N4MvLg/8PrzQgiJIWZyTog21nwktECKI60VdiRElJbCxUnAwsiyOuUl9te8Xk2QCTFSxcNAmghr9Y1qPXdZ6g0+FxFACTbQghJbz1wyo47CYK7UNgGiF48fejzMC7dDJMXATgbqkDi1M+Wc3SReAxqiq+zHQIoVzasHTahzOluuTAPUCt98+RWffPIJn08P1FNh0ohVIcaBmSMIna/svEBdhZbcu62qT0YwevqWkUQIKVBCQWmIBpJGJnVnjRYVlUaw6raKDQb9sAecTzsjcb9DQyCmF8xrRaQwxcSrFwfO6xk9On+/9cTDIIVpB2Gv/N9/9ze82gkPxZh60I2aw4i1NcbdjpIznVLOYsXX2OoHsTXQIMTBxyOtwlyEpSmzTJxOb/n41SfMee5pkoFSpevuhEZx/nlwhf02VW40VFznAL25ly7aChuH0ANaahTmY2MYI0MMrK1SQmDJs9MCivumr9LIuTJuWoTiwqaYlHys/NZv/xqffnJPs0wpK1OEaZg4nU60ACmCZE/8TDE5kNDpQk37Duyc5SgDpo6K7O/uWZaJ/We/SXh6SSPQYmQ/DkjNPD09Mew/Iw+fcuaGId2gBWxdIYiHSKyNcozcphu+KE+8qR4PX+uR76cD6+6OGAKlVh7KkXfSaLlwg3C3v2E/K9/87Wv2L7/H+fiWISZu779PLguZGQ2RUxwJacRuIiOrw91j48Urv4DTGJnnmcUaVpXVGt+sjSHi6YDZuNfEQZRoFcvVvcPVi9N8HChmFEs8ZZ/hLfrIqh5EtZdAbI25Nx8hKNYKowbSEDiMt2ir3O1GpsNAoSBPmazKm3XmtC6cgjLZmbvpBee18u40s5qypDtUhYHZ6WoiVKnEya06pap/ZtXQLeluQ39KoNSVNPY4c84ENcbD2C00vTGQLvpurZDnM7kjKaJG7m4FKW0c+UYskJLQpLE0kGFC60oplWpGCoOfgdnRE1OH0J1LY4y5T6lz8fszeJpbUKcqiVaQ7EFUtThydmnqlKoNHfrXbRSg5EhiwJDYnbHKStklchDyeSaWlVIeuXuRORxAZWQcI0UKjR5p3YyhF5vnZ9Qk6AiSNS+Kh0QK0f2H23IZwuTcyLnRambJla++fEuejcaZceqe4DjabPgAqS3Ob9+cm4zCFO66BeW+D9nAwoklB/7sz/+aP/mTP2FdMxIrppXzeiZoYtp7QzaF50JI54E7OplY14JqII6Rpa6MHS3XpH1aXKi19Ka/sHGdqyRiiBzXmfNpIbfEqO7w1UJkJVDihwcj1iBoxEQ93t4Cok7xuj3cOPW2LqRhdFhTtVN3AyH9a0a3UBF2RBeQmJeNizbUhNDcmWCQDxtKA3y9nC6wJ8G77cGEFLUT5qGW7PyZoIQQ3Tf2fKYWt4QJHcp2716QZXHOUQSLyhrcLWHrRLbnbRWG5CboRl/0QyCokJJ3+JuIKOxGj3SVgJjDXKKubi3FD5Fh8EJ2Mzr3AydCdG62BWcCbrSEenYXjPP5zB/+4R/y7mHmz//yyDwfPeRoiMx98hy6l6Fskcn8PNc2hH7R9SZFiCjdo9W+NeFW6xw0FzmJRo7H46XT3Dhp45awhHUeo1+iNYXLoqU5feF2vOPLb77g9rDj5f2e49NrxvH2cpiKCCnFywEHV+ESXbgEbsu0xVojzZPyone3a71yk0zVU+TEu+6UEqILrVVyA5EBNghs85IOgWxbAeOHhSWfFrs4091BRISJUz8YQHJ/H9oOkWtQy8WKLqyYFOd2oVgaiRpdXtO2KS3kOTPuvMs/zmfnzn7g8fR4It9ArPFiCD+FxIpbwZ3nJ580hMD5nLk93KGjkdcFNTiaF+frunZXEzi+fst0t6fFmfNxJabAWmefXmxcCeucfXFkSDGGGEGk880gSTf4xxg9Sd3T8oAVpUn15KQu4DXXkVL4cEMQpKHS2NKs5ilBEMQKx+M7NFYGhWwZwX3P12rk5cSU/L0Z08C6Gi9uRnJdaM0cihUvWs81U1qPsm1ga3/ezfeLSZ8SihHHHWNKvDmf+eLL19Rc3PFjObsryd1LzHzN1eoJac+Fk8pG9WmouQBo02k4w6VTS1qnPIgyhEgRb6RrcdHZ+ezTp1wd5q4GpVnnVjYs+IW9ccet+PT31379HzklrAf+RIU6r0whUeeVHK7+7d8WGX6b7iQixBT65ZhIqXFzc0cIhokXMWNSdimwv3+JxMB0uEHT4C5CrbGUCs1h96iK7kfe5MCXT5WlDMTpQByUn7458VT8DEXEnYzknmEfKWJ8ORcX9sUD+9dvGQ83FFGezosnq9oEFdpq7KMXGLvpYxdHrzNreaS1xuOpUOvAsrgPcUqJj/JCIhGmRBtCp/8Vjg+LT/JqYwWOpTCvxz7x73QeKrYYBCMOShwCa8noOKEBXt5+xGGaGIOvj2Ut5AxfnlY4Z4555VTfQEvknFAZOex/wMuXO4rsWIvyzflECSNBI4qQhkiTLf5dXJxnfbrcz+zaz0qHp12QJYpzo3GehogwJaWq9ZRZCGrsRqWUyLqCoORcO3f5fXGyp9fF7l/bKNU9mWOn4qz1mtK2m5LzZHNx4XIuTjchEaJTjDZ7t9IyJnq1P9XIbufiuk38rqq0ehX3bRahIkZQH1YFdYmjWWGIyZEUU1KMBGvIfuJmt2ccRw6HA2ilqDknWZy73NTphrHTHawjwxh9mLQ1q8VfW3B7z81Jysw4nU48Pnrq6b4opXlNpOJ2gyLe0BhGmBRtTj1DlUTCtHgTREHMw6x20yd8/fDI//Qvf8R/8O//e/zab/wD3r17y83NDXd3L/r74g48UTY3BX8/1HyQAsHPDbFLbeGJrUYM8YKserBSvtC/RMSbu25nOs8zX331FUEMNDHuBwjR744PPG5vb/19WeYLQrbd1ReB/jQyhOhF9FYzmKci/7KPX4kimWY9uKC5pYmqT82sXSJGI98RtQU4l8d5OTFEkiZuxsQ0De53u2aaVZKmC4e2Vo+cNGudQ9k5Q1S0bB68nW8lYLUwtfcPf7edCw4A9wJNRbAY3Vu2b9oN8sjNfVaFa2G3hYM8F+wEVawXKNYLS9nsPp5dPM/5Qeu68PHHH3N7e8sYj1gJkJRigoREK97p0Q85ESHYc7pH32S4Ab+Z257pRnwPemEyXArlGAilYq0RNaF65fq8Byn1TS7NaOF6OBZ1iyuNofuH8owT2cjlTMkzpXV7qV6Om3qRsvHKDC7ipedcqe339OS+6+vM7HY7VIwVo/Yi02GlQAjSJ3yRoO544Nxy8WKx2SUpb3N0MHXz8t00AI1a/Pe2+XCTPGWuyeViCR2alM6xlh7kol0AU1oGS87H63SqKEJL3sgUa+Tik4PvehzzQqyF/TASOod1U8lbceuj83lmaeocVow1u9ftfuj2hJs4LASW2jjsIruUeJq/9rUr7uAh4m4vhr83ZYs6b3ZJOfOpidK6vU9rrQetQFMvFiquKJ/ULel6urpzlb/zpTaalY5+KLmv49TXq7rTPHNZO8+6YCWzrv7eR3U6ik/sC2XFPxeBje8syb3UEQ8/2FKdvNz0CW/F4eEa/FexwHnNrMsZQnYOpxX3I+70ics0LbzP71W5CiCl/4wLpaH/KvbzNK2NvrX5wT4+PvJ0Ojt5zCbn/0vnlXfvUGdreEDJkle+/w/+Afv9ntrW/hk5yrWbJvK8ujtQ6n7y17vnParIe0WyCjl7Ythm5B+GkZj8+agqEoUY/ayRmFy8w8ZbbIRhcCFlqZxOT+TTydG/5iFH55NHX7e6eKPWGqwQLdGiD2HWdWUWd2gwhHfn12QDnQYOd7fcx8k/m9NKM3E9ydmbqlorbfUJX83ubX6XRuIwUUphL5GgEVRYa+F09mJsWStrbZyqM0hXhNka5/ORgHB7d3CELkGmT47HCULgMS/E6iIu7Z83rfD67TtyM1YTmjqH2kIixoFxHBjTxP39RJgi7x5Xzi1RQqKFxKAb9NwvI4/IonUvc7/HmvPVt8GV9f1AIAbzCPsuyNPofF2H3FunH/pedo92JYaESAIrIOvlzrsMnAi9EfQ7t9Xag7r8fsp96CBqaG1UGhqUqJuNqWtPQpTL0EB6/GVrWwF15Vlvgx7pa6G1Rm2ebquX4tjvjRgcJjKEMkv/M3FKhQbQ4LS2KDRqd/14n254pf7Recq+qZ/Nei60qlYqMfXf18p8PntjNDeenp4Anx6rxmv90PdU699n4w9D54AbmDjaZt1DHIQYJ+7uXlHWMz/5yV/z0SevyLlwPi/s936WXkK0NocI2yinG5+6NxudArm9pO0zdorZ1apOVTs95Drw2HjQMUYXTLIFlDlF7YMnfl87IbiK2ms6f69L8Wl16FoLlcH1VJ2i+QuICT/3+JUokg2f7pVariKq7o23duP28gu+fqCSUuBuNzKGyKSRPMIQlVYy1hrjMKJMPJazm9235pGieQUCpU+gqri10CQ+tTCRzgMTFqtErptLoqLF7WpqLdSyOuRfhTWv3O4PF8XlZri/i8PFAD4ddrSeqNbBF0IUosaNuUE0n+W2Sxd0LYwRYe2/L6Xw6aef8pu/+Zv81V98jhrk7jutMRFDdReOXnRHHwe8V8w6laKnyQm03kGruiWQX6S9qFEhSkRMiDQ0gkYh6v5Kt5CNP9upAv1waN1GpvUueeiFVasVQiVq4a9+8heENvP7v/2bPJ2O7Ha7CzG/WiOIh2O0fkmrAV2gcik8qhfwnvLTGxpRgkQaVwHFc15la16cLzmzVCXKDLhHsYpD1ToEtwVyWtZlDWtpBPXXmFIkKGgYSSkxDhPn8+JFgnaaheXLzwUQGwjBQ60xo66Fc61UvRYfCUUCnNeFZkIa95fD4tuP/f6Gh3yi1EwVL0U3WLzVShAjBU+o09xoS6E2T98LKK/fHP0SiX5pPGWPO346e4iK3d56AazqFIpnBV9ZVooO2LwSil2FPURkW0uAhoasHX6s9DQu59mlKRLV7a9U/Gzeon+//Wh1dj5e61ZmS8aaoMONx8vWTM2ZFK1bzLnf9H4PDyfY7Xa8+epL7m6dDz2qezxjSjZXdktxD9YQ3ai/qK+ddfFYd5I7cJjCqsYaIrrbsxbj7evX7G6E4eOPwYxlPZPGHevqgtPn6Mu2okRwqLduLhBeAKi6IKg2523X/vdbLLUXPMZhf0vJ7t27NkCuzkHrZnPVaRaObPgUumD82q//I4oY67I4NWc/sS7uoiBDvKx533btvaJj21fP9QhGRQOEDg3c6Avq/Mh0c4/GSJAKVrm7uQH0wvPfPP9K7Gr56haQ0zTwb/zgFZ9MSj4eSYMPV4IaS3OP+Bd394wxsTw+YiruprMhV8BSAo/nhTkXWkoM444wRrRkdilxO0wkEW7aiTB46MkwvSLGSIo7Tk9HHp/esR89TOLzL2fO68o5N+Zl5ZuHRxrGvLgOgiEyDAP73Y4XN3vePR45nk88rG60eSqN0/yAiHFbV0JI3IwjQZW3D0+UdYbqIS+5dVHruKeJMEx7buTA7jAhg3nvMza+WTI/O64U2bG777B5C5g4TawWo+GipyCDxz8HP/d9uuztn4RONwBaWajmceCNilQYUuo2NH2QBKxLoXbdg7tC+f2xWbRtIjen3LVuoRmcWpJhXZ2WFMehZ5ZCoCKhf6/WmHQghUDRTM6ri/jBhXd1BasIqfPeg/O0ezG26Ua24tTXLJcQD2GzrGtID4jR/jpbLWCV8/zIpx/dsN+NlLKyLGcymTgOgMDgfOeIQ07aG2vfFB2N7NzoTW9T1gxz8TO2emNnZrx588hPf/r3LEtmmTPTYU8pa3/e4VJomhmDdYqIGq1kxhhpMvW/hzb6Xhp3Smo3vLj9Lf75f/Pf8/mXX/Cf/Mf/ETlnjkefWsfo3uG0jtCwZSAANFQcOaeaf7bq760KLvyVzFIWhhBJaUQR1vnohX9ZMPHqbhxHXr58yVOeaVVQSa7B+Q7730uA0TgQQvTY+d68r2fPIghDoLTKEHwAtBk02P+HKvlXo0gWWDoBPeAqybAJ+cRoFcovKJN1EuKYCDsv2tqagUBe5gv3BZ6JY7ZV2vphQMNaxPD4Qg3uI2m4+jg0n3qt6hxWvzydYxdaZYhO1Si9k9EOH8DVzktVsbUgIfWJtReiWPMJL9sEtI/kDO/U8d9uAh2fxjkcBc7ryme3gQkx8vHHHxPHCLND9gGB3LrvoCvONxWxdu9Wt47jAiv7j3CBlfSEO0+R6twn86K39ee1RU7DdXr7XGQoKs94TP4itsz2C1fZcLGjut3N+XzmzZt3fPmzr7j55P4iRrpMse06QX6v0ey4sW685K0aY6OLQJBIbeXyvbZDc+iigRAUrYp0zrbD7lvyYsOdRpw0sq2lcqEmzERR50vjUF5TD58oxady5fKEu7vFNn3H0Nxcmd+E2Lw5KR39MDOCKU29mPXkKhD5MMoi4odzqw0rldyn4EGc61ZzueyzKH7IeT6Nx5hbn0TGpFSrLFYZU+JpXjmthTEmGn1q0aPexRTMiEHJFpDSwGpXwPU9iHf9EroLjJOrHcI1IWSfUuTVi9IqgKgXgN8hUhS1frH5OSK5ESXBulKkIubvejVv4GiVWrNPjEKnGWz7NTi03xrdEs+X0JaNUMUorbKYEaxHd/N82uu8XB1GSIm1ekrW/rBz+FSvaYKthc7Vv1pYbpoDaWBSXJ0tjapbi9vXYqsgw3sJl9t73NrWtNCLE/eUcURKgeJQcOe/ezHkDfGSV8Jw5YsOMbkzjUDB7eK+TfH5NuVi+7Nr0VzRHgDksH2DOGASCGkgJXFbyg7z6+Zi0L9X6Pt4U8/vupfyaS2cTwtxjSx5Zh8juSeAthKYxhErMzEMjDqgJmxOQbsUyblgpfL0dObx4Yn9J7dINS9csocMPeWVsEYkZnQpxKTc7hJLgadT4WGeWZaFL5+OLDkzL5VcjWN2u8NzKaBwsxvYTyN308C4m3hxd8/X7x74/M0Da2l8vZypeQUrNBXGOCFzvkwuo4g3tKKMeBqe7AasCftx4GYoMMJTC5zXRl4T1iIa77AiSFOiGiIVobJuhasEd9/pk9NN07EVjXKh+fi5R292mx8Z+EJVX2iKn7PmBa9Pn8sFKZXN870L1La1GzVhuPA+BHUxNtd01MvZ35wnreLw/ZQGpjQwl+56FLrDgbj7hvULZ8ta2Chuz0Xx0hGdYIrrg1x4tmlnWsH99CVQo38/7cieCdzs9tSaWZbK/tbTgmNxazqpzcXG4vdmd9LjuXPVZc92asuWWrcsy8VetJTC6XS60Bld5DhQ2hEayGYr2sO+U8NRW/HPR7QRST2JsrIbfX9nziCVYXAt0Z//+Z+jGhCp1FpYloUYlXG8ngdb6q3v4/en4VsNEILTjUpu5FZppdFiQtXf6422Khui1R+tNSw7d03U0Gd8+G8/tlRir7WeZRPUSm71vQm0sTVm2ifJ/7oVydatYCI0dbjScB5PUfNLdv7uIvlwuCOFSEM5l0IZE1YWhjQRYiBXo6yFNR+RMJJPYAwsZgwaqBhz5+IODAT3e/J4xnHEtNHyA7u4p1gm6kC0gB1Xn3RZgdYIzY3eoz5BaXxy/+t8/Op7VIxM5aP7m74BE7tpRzubU0CqEDR5h1ONtb5B8AVFSO7FXHrx2ZNiNvjiaTlREG7vPmPaC//W7/8O/3z4bznKI7nu2I171lqpy4lh7Ek6tdGkMeiAiVNZWqdNaMsOd0qkAEsBTFypznYJKtYi05BYu6JeRJBiHK0ypNDpJI0hRfctRNibF+XH4t7KKUSfoGuHf5Jg1ZiGHcO0483jE3/zxRf81qtbTnlhN4y94VGqrJevlV48iQitT2c3PrKrlz39LoTgMatSOTCyxEgaJp7efE3q8aKffPQRN3/3wG7aE45G0URrwlq7wtYSZS2OUgAhbe4VlbUUFCGrO22452d1Luc0IRKpVsm19OeTAO0oRmPKHRLWPjENlf0Q0OYDtbU2nlpF1obGwQu1delTi59/NAJzHEjSSKa96Cwcy4xKRCSSTSmlUYNheXFaQ3WhHlrdou2UnaahAcnGkA6AcT6tzmmMjbIm53pF9xDVW2XXMqutLMfq1oMK+REPQFC6JzHMUQjSCLEiBZYWKbmhOI3jMEXMGqvIJUzl24+ihoSGUcCEyA0mxlAeseaFpmkgNLdUKq31YBfl5S5geWU9zxQJzLUyUolDwKoSqmKlUTo1Yz5lZ10MsK6GDhEtwrp6Q1gDrBaI4546HByhOgtBJ45LJnUPWamNkK7Qrlm9FIZmM6V42E3VSCBQcb9z6wd9wRhsJQ3pEhrQeqGS80KalDA01vrk0OwwsRqUlhmT08TW9ZoeuTlZnB4bQSq1LLQMuc2Ux9Wf41JJMfr0KIwA1O5vHaM7uzxHkbY92GSPmTGX+YJMpds76MXKNOz9c6xz32dOddG0BRL5tPPd4xOnxxP/14//kj/7y7/i6emJZZ4dMi+Vsh7ZTW7z9frNg1+6+4H7wy3x/NatpgQX1gAAIABJREFUGzEXk46R1BwOenrzSCvG669+SqahIUKpfHz7ijKfXFAdYL93CtJij+SlMZ8ESwNVQHJ2AWED08Du5gWH21s+npSbMbFX9yA3idTa2B2El3cjP/3ZiXePZ87VSDoxDpHDYSIEZWRlv9/z0UcfYeY8cx+IGE2d/pRSYjdMjLt7fvrlW75pA0UmHubGTnf+3KKia0+dHfyMTPuEZJjnSAgjS8nQKrsoRIwhRTTtsKjM8wy5chtHdvs96+qWkuN4S62V45IJGsnNWDAsJdLixXAYeshXH0q17kVdexMVQqDMZ0iREAfWxQuv2+kjL3jyGQ3Vg7wmn/7GVVA1T2EdAkMWQgzvUxDtrgcEdTeD7C1hECWJEjsoVaVgOCqLGamdCQrEPaVWVpwm1zCSwnF95OX99zk/PPG7v/s7fO9lotXIbpiclhkP7Lt/dM2dwjG6o1Xu7j5SNp0JyNgDcurqgwItSIvkvDiVqQlC4v/8q3/FU1nAAh+/eIU0Y9bBG+KWnPuMC+5rgJicttmcpwcEznPfX8F/b0UI+zuqRob7H/LudObzL0/88b/9b/LjH/8v3L7YsZ4C97efsp5/5lQN2ZrViJSGSUalkq2ABV83/bPQYce6zqzHhayVWoUhpgsFdX58oJqw3+8Zh4G7YWKZ31HZsbYTMQl5/fD9FnddPLpmKI1BFY2Rh1YIcQKU1RTViNTiw4iI69a+yzf1Qz/nl/6X/z8/Urry2ETc8s2q0c08mcbE/B1fO3alrXUrEOcYVef+rR5zXWtlnA5+QDX3mg2d/2Ti5v8iwhCGzpUsiAY0eKKe2vWtEulezrGbx3WvRrqobuNNDsPAOCZ2w8jUgwE2vtMFPn32mmHj/Fz9/K4/c0vk20iZPhEJIVDrTM6Zm7hnf5i4ubnh8enMfL7ynIZ+MasqQa8pPs+pFhu3a5tSuWhD8TlZvLz27XnOq9MHxJzT6byvq0+yddcHjXKhj1w7eP8MXMHrvsNb13x/f8+LFy9Yzic++eQTp6zwPN3OGML2c6oPiS8owc+vj+fd+rf//Nt/ttuNrPPMXCqEO6itT9/9M3KvWYeRTOQSterCK3+dVhvFSp8AuIdozrUf2BBSF4n2Q3lbB3mze2sVF44ItUPnm18xQndA8UO7lOKihA88Wi70MboflCrk2gidUvN8QlM7/N7MbbBEr7aL36YCuJCzL9HWKI1OY3FHj1Yr6ymz343c3L5kTGfa6QS5IlPn++MWck6f87TC0Ceo7hXr+6hJoxUDbT1y/oMvFTIucNlg4riCQbaKNJyuZD2ZqlMZ7Ftrw8yfWwgelLHZ17ngbNtzgnbUK+LuG0sttAq1igfWhECaRlqfgm1pYZvfaDO3Mgyi7ifHdW/83JrdQC/plkYbaEOfSHVrrIsQ1a5oTus2UofDAfti9qh6M4e8gwc0pJC4yD2Cr4kYI+M4ssxHFymFDenarDr9/58/3209fft1fPvx/O+2n/Xtr3WKz+iT/5od/ehpZTFGUkocj0ceHh44n88ewR280T8f37LsdpgZY7+My3ymHmfacSZqYJhGNEWWx8oYB8SU8+lEa41vnvzSRgN5WXmXZvY7I/RU16U3uG9P3/hZuUaKXxDsx9GtwnYDqrFz9+H+sGNQo5VCaYYFD5s4PR1Z8oqKkYBJ3RVJpbEsswuOIhzPK+np3O0lE83M3ZDEXPQUEzYeeP2QOVYlF/UiKTpcrSrdBrNz1tX9z8UgRaUF5xtrCEhSWnPOuTW9CHZjf09SCOTa/HWIIiG6/+xpcau2ziXNpxmxoXNaNxTOeaJp0Aslo8n7nsz+y1G6b6ePejhYR01CwKRxXhaW7K4V1n2Jn9N+tu9xWXfqIVkNL2Jp1j3/XUPSzPAr1ifuwSBYc8/dfta5mM1dcmot7Pe3ntjYbQytw5vP75YP3TXv7XVzBL2Jx2abBHJxz2crcD7OXdNC1wIojUZomzdwP6vsiv549HJHZlQvh8nGFQa601BDtTKOO6wV/vRP/5Sb25FpGvq9JRyPT2ifJG9nkonTLtv1cr80xR/SSahc7/DQhXNO/xBsyV6PlcyQJprsEFsQ7X7Zv+A88WZc+13awUZzpDqF+N5rdyS1O2P9ko9fiSJ5u2yd8+oL+maYCCGwPxycO9Qaf/0dX39ezj6p3O9ppXKcT9R87lzgxNSDNpZVac3N1L2rFbYMbxXxCWpy2Emr+0+G6JCZtYGSK029SBGBUQO1ucgN9AIlLGtlGAbuXtxye7cjRYcIo7ioMMZICv41cbv1rfkHaw0kXCB0My++TN0dYNsM0on/GnAoxAqPj+9AGrd3Bx6fzrybT12MEHosbfdN3IQK/cBXrgECm0G6raVvgm2D8V6hVGvlqVaiat8oXRxQSk9HEoxKzZUpDM7D3CDt6PHcA+owd7s6eYTBG4mf/exn/PAH3+e3fuu3OK+PXrhIf3+aoun6Pmh//7xIv8K7DhN68AO4py/Wnyf27FC+FiT7/cT9YYCzXwSjekxm7RO+FCKmLjoygdMyU4tP+GqunT6iVHEqRhwH2rp6Qlj2Imkg9WTIeoEewZ1UQK8ixtbIhQtkTnPKzDRN5Oq0oXEcWeuHUZZcZsYYGILz/JpAqUtXKSuWGyaexNTYCkqjaQRRQkyXQ8i3aA8aOJ+8oRxHV9vVCsPsFm5x9HfcAssc0Skx3B4Ih5myLrT1nX+fE0jF9+NSCdHpDKKG5orUytoUGpTsfz+M5pf1Bx6xT5+0eNOSbx56aIEXCmK+p1SzC5bUqEUorbGUzMPxgfN8pNSVQcVFKq1haoSh2+xNnUa0tAssbK40YsmGRcNGQW8Tn/zghzytjTm7SHCpK49PK/ftJa0py5wZh6GnS/pr2hphR4wiTbTH2nYKGup0sk4GDrhl1kZJL6VcJo3jOHpiWwj83u/9Hl99/iOqQZ4LU4hEgZILm4tOzu4b/fD0xM3NDbe3tyzzsTu+GBI3YXOnaz3rRr/tZrOtl+cPVXA/UzBzaketV09n988Nbh0VArG7/Kyn6g0nQHOXlOHuzt+X1pjGkZvd3tcpAh/de6FWCnlxBOnjaefvy8799LM16vlMmReyurBnXVdEld3u4LSDEFnHlSCBky7UUqjrGc647+/+JUrgwMAQQYNxd3fH3c0tYxJKXolBsJJpnLAqLF24J6rcHHYc15V5zrRSCWq8UJ+GVhGyKZmBPB44l8LpoXA4OGdTVfnp27ecSuOpKI/HB8axEsY7VF/4Gm1e0AZNBOn8X3H/mKAeFzwmI6HciEJtnMwn6HMLVE2QEmERpDpli9qYxcirIyhmxvHsKbK7qEQCu2l0f9vaWHN3kOge916NV86zazLGNKAilOLnYOmBS6Zdo9JdFXbjiJnzl637dA+7kdYapy5qW8/Xpt9ZFHahEIi4y0GtlVqcMilAac4BVtT901XcY7k5Tzs0H0YkhNp8vZY0MO1uoAlDirx4MbLbCfP6yJAq4/DCHXjq+0Xy1izHlHoBtzH6udQ9HpmeGN04nvnLJ46nMy0Ln3/xFW/eFubZn38xDyc7xEQyIZfuutVAg/TPuEdtOziPBGEYN7qDP78h3vhay5mbwz1iyn/+n/2X/OhHP+Kf/tP/lK+/+Yq7w0CMmcV8kBUl+BQ5uEzTmv+A9GwQ6HfwFSkIU4LaetNb0W4J+OLuBbkZp/aG+xd7hsmw2cX8m3Ud7cNl6uWzDRFVyB3d2KXoFCI8NE4Q2pBQ3Nc5iBB/+UHyr0aRHILy0cu7yxvsli3R39Q1U5eVYt81QsI5uP0DMIxhjOzuv38h969Loc6V07z2aYtsnPkL01lbpFnAUu2cKyM0DxJp9Mz7PvXbOsiKEod0CQVBAq1Vig3shz2vXt3x8v6Gw7RjGJPDJuaL12pz78Zn8dKXIlnfv2TMKg25Rj6bCybcGsY9H1oztzAaBh4e3vJ0fEREScm9bAcZmAafuG+E9+1y9k3qz6Pg/MVq5mK94OEQ2t63igOI4lZC1uySbiQGuRUX0URPXlsWnwZpL4a3TSVbV9m5kQospxN1foLQ+JN/8se8fv2aaS/o5DZ7ikGrzGc3t48bR056AtJmb9eLHODCTQrbhA13pbhMD0MgxsjucGCeZ6JmdsG9ucMQoRlldfJVjL75mhXn3kovllSY4kDp3XY1nyBbuUKkvvZgmfNlLWkXOWCKSbmsfQ+nWKG4gtitdAqhlF5UrC5aDOk7c+inlx8zP76llMKyZqI5p69ucFlHb2oppN5QWHd5sda2BHRa26Y5AIKkTRzpRWgKCbEVKRmsoGFkP76gauTx7QMhGtOUQJTbTz6jlULbLQ45nlfarlDUU7OCNf/zzNULehfR2Ig7V9x/6DHe9kjkjmgk3FLNNGHi0yDFOmXdtQYeXGOQYMkLxSpixjAkj2MPLgQLg08jmiyEYJxXyBWqultNbXukQrKIpQCHxItPbjjkxnhcmUvgdP6SEPccj0/EPBDDhFWYxj3auZLQegEJzboMT6zz6ZTWz4WNBy/AWgopOe1hnme/9NXdYbZYWRFhmEaWUmlzdmcP872SO0fbER0l0yjLwul04nA4kI+Zdc0M0/7yXotGRK+ipw2920RDH5qYOXJQCVEdXQpCCFcLxNj/P3Y0Jp/Ofsmai0vFusBrzdDge59+ykevXpGXq0B635PmxjRwe3vLy7t7L6CWE6+/+RodEg8PD4zB9/QoQkx+39zc7NmPEwx+Ho27PXHasX9xx258SUq+J9+++4Z5PiEWWU5nlm8eESrz8sQ333xNCoHaPKCq5Z4gNleaRixM3bas8kRjLgOPq/E6H2jpjv008m7OlAZNIi0LP/77tRcdFbN33N15kyxhpKmSDveEKKS4p6VILpkpug3luszEXeoxwNrTNRth9jXeauNccg8E8gn9WtxSTUIkV0Nyd1nqdKU5dD5yP8tL8+9dyNRmzPPShxeBOLindG3F70/1id9uGrvLid9bohEjYhi5NVIKmMFpdmpOUqfxmKgXWbWy1qUjHofLZFe6kHYr0mqrPe7ZLrxXC0Z1UpmfJQrVLScApx2Vlligo1abPaJQ1YWMMSVagZv9xMcv94xxYj9OpBCpPeWwEZ+hpteC0Z2OvCHe9BWhUwMFX3sp+RBjv3cR/F//7HP+/ovXlHagtBmzMyqVJC7Clu6w5e97Q0VIGjx5VNwGUcRYOuVgg6m97nD9CASiCNP4kn36bX7yl3/F//a//hm//we/wzglno5vCMOOXRjZpYCpXCK6a6dGpeDjqNiLZUd2HXWMg9vEeVw1TgmpBjVgCuOgHPaB+7vIuwejNu1+1o1h+PCZf0G/uWq/tmZkHEcX6vb7Ipt7Vkd1tLPYL7KCeP/xK1Eki3ZCtRk5L5QiDMPk+fWr2+iUXzAdj1GRFDzdrE/a6pJYl4Wc67UokXgRpl26OLnCOWJOMhcxog3+NdVoatTmak331jWHrsyLQJEemwkdhgxovHoqz8sZa5XD/ua6ccSTzbxI3uJe/Zm1Dco0Onys/fIUrvV0u/x734id2tC95Vz1Ol4gjtSVxFtR+N57YPYe13PzGHQlOJfp1rchFC96ccJsvfIQqxUv4JtDakU76CPbz/Sfp+KbTYOLspoZ9GDFTz/99OIMEqNe4k97rAbBOvKgePKRdPFUXyfb5W22eTP3z1q6jZtcl/7WmG2bSzHystDkhla7ergnqLmALjNooNAYUrpM9616l2r9ZzQMmkPT2i8I//zqhSqjGt3b0szdOlq7qJ3pc/LWoFohdrgZdbu22lEHezbVe/6wtGPYzeS8Uhef1A3DyHmzC2rXBs1ycTjf3MkBXIB6XV/X/xZzv83aJ71qoNV8mt8q2oQmJ2oIpOh0iqenJ197aYSqBEmEAVCl2exoSc5Y9cmVFI/IDribiKkHMch3nAMyidsJigvepOE8QvE9GppznP1SbxdIVP0lvLe2L77bKu6JLAYbL1EHLDRHW1ICCRSLYIEUdugQsSkgWhki7GJjGgKhc+U9fGejYVzhZf/5mwgFtCt8mllf29b3osOr+mzvb+Kn55ZWtWYQnxA9PDx4LHn1BCvXierFKaaZu5U08PTMreHtE0gX7j5HkqRP0p9Tq37xaMZpYh4xvE3MU0qX8/AqrnZErbXWnY64vG+Evu5zY5omjo9PvHv3jqfhgZQSh/2e/c2OpUO5G93i7nsfsybh7sU941evkTnTcuH0+NCdVwrrk6Glkp8WgirLaSHtFgqGHgJh78jmpFBa43x6Sz6tnJ8eOJ2fOJ0eoa0stbp9nQil4nteI0hEGNzmsWZaSMyL8lSUb5bIXBv3YSLbQG6VUsVtraYd2s9BM6PtdtRxZD8NVFFUBjQKy7xCgKh6Oc9jdNur1m24qnj8PMXTCIu4qwYGpWQXlorSSiH4YcCSy0UrWwWqNAKFXPLlfgPYTd2Tvm7UGbkIq3LuQVRhg8d93Rbrccd9bbVnwm8BLDktYrXaA5P0YhG37Z3tzMo9GdW6CNzMGOTqoGFm3V6sOq3BDLHoaGNPexUrBHXKQ+0KXGviDYYCppTiZgCtGLsYMNzZZkwjKQ3U0nrRb95kh3Ap0J8XdWzFuxkB50mHTQxbvQ5xQfnAF6+/5vMvX1PrK8xCp8MZobbO6w4YbkuZLHQeqfk5V8WHb0qfsMt7dItSG1UKIUQfDAbj5uaWjz/+lP/xX/xLVOEP//B3mecTY9o51UbEqVnSEPUiWdlqlvfPAkfz3aFLgjftmJGX9VLQtgvFDYbkg0R7VgN9V4L0tv5aczH0ZRAV6OYKpft2C1K6v/h2jv3ybItfrkgWkb8GHvE6pJjZH4vIK+Cf8f8w9yYxlmVpntfvO9O9971nk7tHeGZGZmVmZWUPNQpKalgg0QiJcdG73gJC6g3s6TWr2iKQEL2DBUJsWvQCIRASK9QCCbq7SnQWlZXZGZGZ4RE+mtkb7j0ji+/cZ+ZRHlWJoKW+UsiHMHv+7N1zzv2+//cf4HvAPwH+Zmvtregp+p8A/xZwBP7d1tr/8ee9fq09rxtLKvru43LqaFcnbeevr/yfXj6jNbjfzyxz4X6fuV/eYqvBiSWbgRZU9XxhAg4QiTq6fjQabDRs1BFdbTPFCMkFRIx6mBZLLv2BZtUTdjGRYCZaM5AqTixtNGyvd1w8ucaMgdS0W7PBPqAtuZFbt3lpoiin0W4sEXsBoyNi5QqbMwqmxWsX8PkK84laLG9ev+S0vOFq2vDKjcx5oCyVnGewgZzU9H7wyrPOMZ8FbktUXt/kNGba+4FSNaJTRIhZI0tXP+KWs6LDwVNaI4xeR+HWMC/KDxfGPuqWvpkyKS04aYTBE2elyXg3atFVKtPmilM+aWMUZ7abp8SSSVlt9jDaFNXO61bgrcc2i7DUpGEDSgBRVbzow5+gRNrWlIdVi6IPfrRYMyFiuby85OnTK+4OXxCM53bJOCNs3IiYxtI07KPVghMhl3zmQi19vKiZGh0lmEZK8O/H9q73FO2otfgAaWpjk0rsqLWjlXR+QDbnSLViStTUwFZZ5njmGH/1Wnxg565gOXCab7ENTqkg1oEU3GiJWV0Tkg0wH2glo76iHnMxdPs82+0R9T7a1O+nVOak6GWNCwbhYrfDNYNZCsG9xYeRKvQUOji8+BIAPw6M46iIndN1P5RLSsqEacNuGMj3lZJOHH3F1AW3HalfQ0o+TU+Z5yPegPXCVCBmPTastQw2IjWR2orA9mbVFzbjNeK2RE4kV4gD2M2Gd6eIHbbqH10L42bDMUaynZAwsmBBLCXpOn5yda0OItZwut8jWEa7ITUVBO+sBsBYZ7k73WMN7PeBcQys9h+hxw6bXsSLGErn5JZWFXG1j9ZPViFdKSoKs94hUUGqu/1rXnz5BS9fviSeIkvqVnPGkpvFGUPKt4BlzoUwOI515mrcMjrDu7evGcMNFa/z2vXZV1VvIK3257H6Bgdn8c6ROiVmNZVRhukD59ujBf2pNC6HAelCRGo729mpoLX0qHOIVcepzVhKqlw/fc53v/89fvFPPuXtmze0Wvni1Utevb7l6dUltWZM2HBx+YTpYkcwlqsx4I36EYs00rJnOZ6onaJjRaAlXFDRVKqFJ0+e0FL3WTcGby3GwjyrfaWLgPekVtUzpApuUJejYjWN0JgRWuM036u7grO008KcB+5S4+AvcJeX1HHDZhhwwXfNA/hBaQXBWJzRUIxWlNM5dn52zplDKcTTkenigtg1ONPUi14x5FIJdiQ0wdaZpTWKCfimKacnVzgd79nawNYNRCrZNMLU934pWBF9H2Io3tFEONzeYUrjsAIrVq34WmtIXs5+tbVWSlIaItn2Zl9dTJw3UA0lLr1Aok9z3XnKt9qjUUekFUrNVNO6ZZ1l64MCUin25r5RrSgPvxSCwIX3JCouTMRUuT1EjHUEu8GHzBBvqXGmFI/gWGRLrpr4J9ZgQ8C0yJJmBnGI26jNpEZi4HtaorSsSajGIJ2La9EpXvBab8xRxaa01rUNjVQS0JDBYeZAW2byaeHVy5nX9wvzcq9UqqBpcnOez4JAZy22NWLSYKLc1rQ/pbNYMbQwPDThdg1QyVTbOoVLbRJNGPi1X/+r/NEf/X3+6B//iP/sP/0DYsyM84kWHHXcUmvGVstSK2GYujuVOtg46El8jsF5oGqisRGmYN6jhN2+u8fJQLGC2WVCnxYU49WasFlM/HBF652GchlRx46wiiP7tPzMu24qiF1S1LPIGjbj+MHX/ND1/wZJ/ldaa68e/flvA/9za+0PRORv9z//R8C/Cfyw//cvAP95//VrL0GRkaIGQ4CQi8Yzhx7HbMPXv9V3t3eU0ohLJWfNkXdbh6n2rErVUUTvQtvql6fjp8dc29X6xhrFH3POkISFyGincw470ihG08nUXWAlpK90EUV31y58PSxWhHC93hOclaYm//IgNND39sD5O3N++v+PWcdOBVUg393fsd/f9UPFayJee3i99cB6jA6vnbYWQjpCWTvOuhqHNxXYraR4Hr2mWsGprV1NiUYBo9QTEGIvxn2wHbHNzKfKsNrhFbUGMsa9h4itn5vaRq/KfY09xQim6X2oRR/YVUTjHGoBsVhjz+ibXaka2gQjvXFpQDNadA/TiBW4vrlk8+qeu31CjPo6KlIM9NconXu5InntkQjpjIbIg4jhsZdxZXUD0K9fXQmGjryUjpKvYqyvIrklFYzREZcL/tF05P3rze0Bv3HQApvtjQpQ0glsRxKq6WM6TY1sxVNaJeVGbQlJDoNlmtSZIAIYIZcjpVVOp5OuCdG0rkLjeFIXkOA9u9rvEZx/3Uzd/F+Uc7iUzGwihxaZmsEZSyGyxIL1A+I82XXF2uUFrXxYpOiePOVCniJkcpyJ+1sYVHWeUuKUVIRzPIIfheOp0Uxhuxm5vL4hSiM5x2a3Y7fT2NYUIjZMiojVzBwzS7Xqj4zgQ8D6QMiOWoo+9OpqP6SX7eIqb9TSSPQj1ILSPtATHq+ZdQ09tnX76v59LGg6FxB0FK+pkHR1vNDixdMtvGkNckoUo423tX2/1YZtD/xJ6I4w/b2cbSjlQVz9+L0+fk8fEvXplORhgjF6jxUVhdWifPjUo60ff9/6b1prOS6Rw92BTz/9lNYau92O0/GojdAw8Fu/9Vu8+fJzStER2N3dOw7LjFC5FcNmCnz08VNCcIqAeQfWqK93bbROleidtdL1clFLOhFSF6chjlarWqD1BqWtt0tUVCY9RgE4W5Ct9lPFoFoCsVxcbJCwYTNuEWt66qelCgxeY4rXzyH1syIUee9zHoYBiQ1vLDhDWSl9voeGtPW8pwvVHj7XIFrceaNpcnTxm7P9vnzlXmZdNFjvmDZbyIUFpSnWLiJ1/Vx84Ak/jMJX72TbrQRzzoRxixeQWnrB9sBXf4xYPw6QUMqOnsG2B6Q0oyFXuv4jg/e65jq/uYklFRWlr2u2pIX7+z1/5be+j6mZ//Mf/d8MY9BV8Agd1WAMnVaNzjE6w2Aam83mzMcFuj3ihycrj8XSj/e30g/786KqkLrSmFOkVsH0eO3He6mUQs1feR069cBJ17QonSr0OG5Z9y9KZ7PeUGuiIqSSaa2qvWJU3vh8iszzotqXGM/34ky1EqOU2NZ1E2Ft4B/bwVpW3/P171brWeccVOUXr+fYOlky3igldfngR8nZgo4OftVK6fQfa7plXVHbVj/p+vDermPGr3vRP3P9f6Fb/A3gr/ff/5fA/4IWyX8D+K+aflJ/X0SuReSbrbXPv/aVOvxexFCsUK3gWl8URu1R/rxx3uFIt07yeGOQEDjEA/SHN06wVEKzylNCuW7GGPba+zEYh6lALlC0YBERvBiKKP8y5h5BLKWPeCobGzQK2QjNQ26RS2+5udrw5HLHbjswWEVtVlqEGNOTtAzUHgPdN5WV1mMqjSLYYjDG9sKqf6XOPvXrrWXJmZxUPX88HlniqbshqEhRTDs/6B/Gs4J3/rzgQ9BOfFkWxFnEGkqtLD2FKKC2TXUd8za6h2/twQStP4Qbm+0WY1z3X259gxbSrGErQ5j0tpOxGJYYSb2zrKeTckSXRfnB3UFEcsZI90ttCUmV0gplmaFkUusCQDv3ewMlqLpaquspXrYjaYYQNux6fOWSG9U5nN+Q4okffP/XWaLwp//rj7Cb5zryK0HHxBa8VIpR2oNpKtAzpmG9f+8A0cJ6Vd49PGxKVqcL47rYqVt/rX7VIYTOs9aHjnUanGKsxndbNyqFQ+FncvkadNVs+PTFHiuFb908o8QTw8XI/v5zUpxpJWDNQGgj3hTqtCP7EUJCjCXOidCEwTpqE/angxqzBw0EkVkIVj2mpaow8JATqWSCsZBHXFZfZmfXmN59j8gOtAzBTbjNNTHNxDzTbCPtbyk1EZ0/N5ulFH5+f/zaePqfHhubzcjzjz9hOw1sh4FliXz6k59zmg9psZ2IAAAgAElEQVR877u/w9Mnlwh6j/b7I/f39/zoRz/i3VJ4+vQJZnPBcLFhyZH744F9GGnGamiO9ew+eobPCy0rd3wYu1Bl3tBKxqNOAuMYMM3greeUKkUZoiynGXN/j9TGKJ4oR4xVfqav7hGf0hDj/F7RrIeETkByfkgqo3N81z1cSmGej+ScuN3f8/bdHa9ev+OUdI9Ur6KgUtVUPzdUJBgbjcZkPW9v36kdmBFc8NSio+p1irSOVo17n24Rc9ECytg/0+y21iljnXJkrcc09XO1VKQXV8cYz8XV4zRSsRBT4v5+z/5uz+eff87tu3tyKsQlc3W15Qc/+CaH/Ym/9MMf6GdiHUvMiprmzHJ/z3E+8KOfvO6iP892nB6BGtDEYXIlAK027t/uETvgfLcNcw5jhHnRvZoN5LRQasVZ/UzUF9fSrJAxPeK8kmqGmnU03LacaqOFge10Q2mGLIE4R0zO+F4gclq00Tc6pbNDwIngUu1869Q/a8sUtrQsjMbQrCHHxFIXpRSUyhq0k62QxFBTxpaKN1bXgG3kmntoj469MdL/rJNWWiXhqKnqM3WYqJIx9GTR2vR1ed9hYnUlKb2ZFFlBC6VOvD7eMg2jhhuhup3YdDQvCJcXSlXMp3jeDrruVPdxzOp9VYXub62F+hAmzDCS4qyc/pWqIYZh8vr0LwU3eN68fMfgHVfXT5hzg6aidFu669CS2F1dYIrh1262XO8sV6Fgg39ogPp7e7z+HwNeq9js8f8T+4jKVEXtalshlsyr17fc7Su57mimF5rGYq1jso5U08PriDB5FajNccGKw3YNlTGqIXrwYe9e1RZa1mYx2A2mVkxn4fzu7/0+n/7sx/zpT37BD3/wfQ77d5R2wjiHsfqcklIUNKwNYx1iG0UKxkCh9FrDnq341kRUEdFpSZNz7Lb3nu12ix0LYiwyeHxuikJ/6Pk2dwqhc7RmKT3Fr9D0dZvpzVIjS0QoWNewtVGX9MHX/ND1qxbJDfgfRcl5/0Vr7e8Azx8Vvi+A5/33nwCfPfren/e/e69IFpG/Bfwt0DF5bT2K+hyRqqpEtRl8H4n76mVt7+IKUBvbTSDPleYMMSeM83p4afqmbvbOValo4EarKlYjqxH/4NXVwlhNadOip3doYh4R5D0xqQhvGD05N5yF7SawmQaCc4ze66jMPixm0wM61iKZrmBvraJx0Hpoa2el4xH93P7s57GiLCuHd7fb8OZdRlLn83aHitVIvZUHdevafKyeprkX4Wcj9f7vnBuV9yhVD92hPnI5d8M6bF0RL+l/Xq8+jjMGYy1+RWqroqrWW5ZlYenWTjlqSqIVoPUQDKnUnCnppCh36gk7og1Cro2aehGDf0Dfuwo3LwfGYQPWYZuKiIZpS2uVm5srvvPJc652P+W2qC9llp5KJtpgWPfg+IBoFnyzDzaG6u/5sBEfI8KOByeAx/9vvaUi7xusf5Xzaa3tYSL6uX/d3hAMtTpyaczFghm42u2Y0zuasdTUkRGEmnqT2rpbgdGwBSuGuJwoFVLUEbTxmnI1bQZIKoNxQ29IisMkdQo41dbV0EIwYI0w4c4PU4XhEmV+p8lyTg9X75R/OFbfPx+vAtLcSPPpgz/r559+TgiOzz/9XJu8wSn1qac6Hn/yM/xnntt393oYd5uw2zkRbSK/uyfHhf1x5nK3IWMRZ9XSrY8MjzFB59ZhTKfiZy7chB8CrWQMhXHa4IzTh//tK5r3XBnBekNwHmc0pnmFZh/f3/XBv+69Fe3SouJh8rPe8zWds5SVw+i0aUWnKfr1Dw4p1a5I1opqu/N+18bLduRpoOaZGCOpJh5bQEpfv5p7pH8G3b/qTvT+el33dqvr8SGs0zT9WUUdUurDeHRFys4IXkewjscjt7e3fPbZZ8SoSOGzZ8/w3rPf77FWKVN3794QpoFhGnl7f0cwlnG3JSZLPqhX+f5wIqdKCIHry8uOVB+V096FrLYaICPiEV/xrUF70KDk1khNTz8VIluM2qog6BpZegJp6VoMqSoeNn7C1IBUC51WAFqQrjQ4j4pXc1Nnm9zPlNVjHVENRKHh7UBJ8SzYct50YbrqPVZwRCFbzvtQ11yf2omjIf34Luex/OP1WWoh1oLkhJs2GGeRok27GMGsDZXRzykltUi0VtHx9XmdlhlqYRhGlhYfrLw60jx0B4sVvIHV0Ex/ptanuu/tHXSNWWtpqXA8HvXnpBGTuvJYH2gd9LFWJ47GGn7++ecEbwnba+Z8xPjx/C8puNSoKWIlsdsEdqPBB8McF6a60bVtleO8Tmq/isKfJ8cdrBIRnO+ThwaN3tA0wxIzp3lhjolUwFjfLSwVQBOj7lutNxJGVJehugSnSZnW4rw2gak1lqXrknpNUJoi+t5anLOYos8wS+Pm6SWHwz23t3usH3FBp4C5Fp04iO57ka4r6lMB6cF8K1os0nDmoaFea5HWGikrX32drK7PwtJqF96vwsI/e6m+RD29hYdJq7X+DDgNg1LcmhOoheBd9wD//98C7l9qrf1CRD4G/icR+dFXbnzrBfSvfPVC++8AOOdbqkGZ5cVQY2HuNlhfXWQfuuZ4QpqijOq369gyEBvEnICCqajl1Mp/ExXDjHUdffSDcQw6jrc9Zco6RCzWGIKcEB/I1SFVMNWwtIVmu60IEAbP97/7jG9/8yMtgHNld3GhqLFRAcsqbKitYKp62a6+sUoscD1cQF0sqIIZ1gKsF8UrKlm1AzNh4OLigv1xwjodv4U0kVvFes4dvPqJ9vXdH3KPH0ghBKrQRy/toXhuTcupXhznWvFNdOxm1px7oSa11LI5a0RzVd6sFvKeVuAUlceadIBPsPrzLiQufSClpOr0m5veUFRaSfTckj7ir5QSKfOeVjPH/VtSnJEe04k8WNK4TtnJ/SHsh4GaM1e7G5wbcdMF0+6acXeFtULeL3zzG8/44a9/k59+mahYEp1/Vo4YCjErcrB0YUGUxlBr79rN+bPWEZLwmCVgbVj3wHtrvPR7kVI6J+wBuLUw6r/mknE2qE9yrYj7sPp3KkL2nmI9L+8zzRbm0fPR8x9AyxxevsDURhBPSgfmRXMQRzcgteIH5XqVHBV5GQUvlvl4IIkQQsAMRtdG1qZoFxxTkHOc8JITBZhXO7dZ94CTSnCGYCu7piPKYvQQdknpTilHnLWErn13RigXH/5Zby7UmWQzTljviGgN6qFTczy1GL71/BOC8xzu7xCp/OZv/AZf3J24urzEtkZoheXdgXEzMk1bqhjGccS0Suw8wtZRI+l+s7evv4QK8aTN2ZwzpxQ5nRbcZuRb3/s1qh9IrhG2A8YasqgN0vZR4MaZ8lQeKeEf/T9ZB0ilKpIvaxqZ7fQI/fqUM8739ZkS1k9cTjDHhft0orSEFJ1ouf494j1iLfvDHWEYtGlDi7PS/c6lraIXfc9zyue1ruyE3oh+pUDWYkA9wnOtun+xDBur9m61kdMCj6gjj5uEVVg7jiPDoE4eL1684P5uj6mNy90FrQkXuysGb9nfvSMtCxfXOzbDSDzeMY0j49Ulp9OJ3W6DOMt8yhzv9yzLwue/eEGtVSk01rIM+mjcbj2jmNVDS5umXuxXgblmcivdyqzixaj1nFj8OFFbYz+rU5Abwpnm18JAcxtMGxnbTlHOmNnttp1WpoX0fYrK7RyGM0lvvcdqO6r7oZSiglARco4YAd9fY7PZ0lwhLfnhPnqrMdw9qShbkJrJojZitlgMqvFYOcnaqAGtEIyQW8E7uBgnTNkwp8j+eNB14AzWwBgmfAkPk7WqyH9nwmGNxzlLKImSI855wjTScuH+9t35HE19NH/sNJE1SW9tFOj2otIRS2uE7Xbb11MGBy6MlKWoXaPo51VaQ0wgniKjv2ER4c1dpJqBXW+EnKh7hPGWXG+hHpkmwW88sykEs0rDV9cgh2n1vUnK419XZH39+kLFNnU6Mq2SSmUpli/f3LGfC0vSvxsGPR/foz10rYfp8vTW+fWNQkyJ3IF3P05MLmBo50lNK5lQc9+/QpojpTS2mytimnn39sAwbPnDP/wTfue3fx/v1EbPWne2v1zXtKDbfokRU5rqLGSlhgjSJ46pdPpH32fOVkrSae5aPIsVSuqaByr2a8rUzXZATAfkamEYu1mCBFhaR6e1GB9cj7Q3vk/If3USxa/0la21X/RfvxSRvwv8NeCLlUYhIt8Evuxf/gvgO4++/dv97/681ycXVbJ75zHN0Dpf9UOczq9eaq9Y8NbhrD3z26w1WNReKFhHilrQNtTqShrYqoWnMWqxhn1wmmgYvDGYfoPnfERPSN+REQPeMLhBfRFLxlnD05snbLfq2Sxex0wUdQVonZO0LiDp4SC1rfzlRl0R2Ec/e0m1I5kr0vcQrRmjpmF57xnH8dx1K9rTkc1a4RHSKcIZDV0PQQDTDdkfb2otMGt/QvfxSF3f/8q/UETJe0/pO9P0w0PRiM7LrgXbbcty0QMYq0WS7ahZLpndbsfV1ZV2l8WSoz489f4V/d5u6F7Lwum4Z1lOmFWZ73QdqDhLf+aYc/cU73GnOSm7Bo/4I2H3MbZt2O/BGeFiu4H2RjmerVByw6QFWgbj9EEmnO3eLE2jRM3qXGHOTcbahLTWzg5/j+2BtJioDw+TR0XQ+t/6Z53Iq4BHD60Pd8W2NdyoqMkxLRRp6tXaAsEa9asujeACmIAtFYxnMwzYWsnpHmpF7Z4axjY6I5Pcm4EwDp3kqj+fRf2useo76molt9onNeDClpwjOZ8wuXI6HWHpHuBjwDmHFU29jO6gHqtZ7e6s82Q+zEn+1ne+RWmV6yfPOC0z+9ujPthShJKx04ANAzUVBmu5/sZzgjWUHJHNFZKU0rMLAYwl5kgQSzWWwTisNOpywDThcFyIuZKqWk/dv/gFORZacuTWeHt7YOl7+Ie/85s8++g502ZHlIh1yoFFBHEPk6W1Iar983buYVz7tZOCvq+FdX31tYNOvZZl4bA/6USGUc+XouitniWGVNVv21ilWM054apyIUspTGNQt5Ja+53nvGZX5GcVln7oWtey7UiT6hH1Z15yInQfV+WL1jMC9PB99sw3XroP6sq1HscRL2qVdTwe2e/37GvGm4yzcHt7i58WakyYYWQaB2ouHOOCNBjcQLgOlJQ5hj05Z24Pe6Axx0xrBRO8IrMret6sBtP097g2Eab72leBWopqH5qOfWvrFMjWQ6cA6wK1yPns1GKv4p2iz7WjaDZ4jHPnrICaMjQNJHrMHc85U1vSGPpaVKPRGsdSGMdJfXOt6kTSsiB4Wqc9ZNQn/QyYpKJvZ02B/cokyxnTUyaznv/S2G13mKNokQyIVbF7COH8/tYwHSkCrSOHTS1ah00gzcsZfVwLwfX8TB2N9xebflYq+q24R3e1EdH9tdqAdsvUUtTDfhgsNniOywyiiHetlVgbYgeOxzv1tt9t1Uu7tTNyrWCNYQoeW1U8W1Hv/81WJ165VWwtSDFY835x/NV9+4B6qkOG4sMPVykQl3JGx0GfM7nT9kTAOEtu79MtjOgu9c5jjdI1H+uhHk+oSykE0zDOIF4BLCM9HKRpPL2I4eXLl7x+85ZnH/nOrTdgrNqzuUBN6kSjx4sCY/AwIf0q9eQxT917pcCY/l7HLqiT7qMstepU7AOXcVpz5ByRWmgd/Vwb6bXJrrX2XAoQhNqEnD78mh+6/sIiWUS2gGmt3fff/2vAfwz8PeDfAf6g//rf9W/5e8B/KCL/DSrYu/1z+ciAiGWYLhTyNz2Eoj8X9OYquvJ1iXuS1IJpaUKqBucCiylYCzYoLyfnTDPQqnqbuqZ840xR0r/rtzgnRQmsgbqOnhqWjNgBkyqDVFWI24I0R8nqO2lbwRn45s01lyEwuQnXPW998HivXqiH/S01ZYzR+sJobU7nK2BrQhKaKY+BGvFZhRJ1VmTODyOteyqPYWBZjoQwsglPePHlgWJGZvaYEDB4fLe+IRds001WWjmT5wX1L87oexKRziPV0dvo9FCoAr5pqlDtRWKryvNRcZ8enE0gF7U/wwz94JrBQvb6QB7qoJurH4wnKna7obTKX/0rv8HTZ5e8vfsCAVw+4CnUbpeWSqGWRDodWeYDd6/ekJe5W+BoEWK2Bj8EUgWh8vb1a1ouPH1yzbC70jF7S6TjDO9eM21fcHV1zSff/A3u7vc8ffoZm5+85tXtG7J9Sqp9y4hBPWUgN/qBb8m1Yax21vd7pQWs1nIiEIKjUUilp+/1gkD6uNyImqKrCFD9VofBdyGH2vp5P5BTVl62CIO1fN0QZwiGUymUkthsPbVaylJ4GU8IldY2CIVjNUybT7BOBUqRRMkzfqdIzDL3EW8vBHY7e75vqagtX+oPzOr1Z0AaeRXBIhhvz2Em2I7qtMYhZWaj/t31GDE2InJPE5iqUZGbEZwVdWewH+aSSXFsR898uyenxNYLow88mT7CWc+nt2+UzzlYdtPI23ev2EwDt3d3zJJIJ8tpn/miVWo9kmLmOH8KqDgy5ozrRdw8z/2e9AamKVe80sB57qXgMYRx4tn3f52Pv/s9xGZsKVgy47BjmrY4G6AlShYuLm/0jMJQW8ZaT0rlXIy2BlE6VcLqnsytUqo/22OdDgctFnMiHxfevHrDLz/7OXXJnPJME42CdxLIQGrqq7q6qBgxPL9+wv3rW9VlDAPH456rq0tqOWixZgzWrYlpDyj4etVaMWd7SnkQZadZrexq0fdvK84PStKqTQXGRXnHa6G8ggHWOaDgg2UbRnwTbsZL3hxfd375nhgjfhoZtiPDNIIIX37+gk+mG37wu3+ZL1++5P/62Z9ixXA1DVr0Om3gigO/vUBE+Jb5DjFGfvrpz5iXjLjEoTUurGeymjaHVCRZam2UCKX76MdaCbXh/YDrjWcthcvLSwydi2s8b28LL/YLjJeI2WKrCjuz1SmL0IjLAs3g3YhkvddGGuPkz6P6ghbLKapjjZA1GlyuVMgeI8EWUl3LjC4WNpooW1NmAWIXyedaMUbFeCrEhVocBQHraEbpG9YJplYmP7DEwpKPZJkZx5Gbq0vmuLC0wj7OuJwY3EArUGdBqsNstTEqrZJbAyvYZrGd3rAU9TIWZzjlSK5CNQMlN+y+T+qsevTb3hia8UIR55YoxZCkMgXLPCeyUU78/Zw5J4umSp1X60QFgNxu0s8lnnAGpKnor5mMNIOXSp0dF9tLrDvih0CwF9h12tFrBeXFen12N5Ra1rnDLjxMGNdizvYJ7ZJmai7qXz5H7u8ib95F3OCp2XKMFZERaZWSGsFZXOt70BSqNLJTEKUmXTMMHuMMpZ7IsZxT+woGYyeiWNpS1E6u6P0ILYItXFxckeOCt5f84T/8Mf/6v/3Ps8QDpUaM9djmaCnSUsL51cGpYcVTkqYFig/YarHShcCmQslnS1LrdozWcJrfUrIw+kum8HNwlpRHak2M4cPKvbwSvaxDjCN2dJwaCV4t7TBKSdun5WGC6x63+3/x9asgyc+Bv9s7Igf81621/0FE/nfgvxWRfx/4GfA3+9f/96j9249RC7h/7y/6B4wxbLdbnFHrrFIKczx1/1jlyq0JdB+6xGq1mVJSGoSz6j7gHNYrZ29Vn0stPTWqm9hLVeI8a6yyfnypj/Rta0jNpGLPLg6rY4LpaB4oScI6YbOZCNtBhRfB4AaHG2yPQaxI00jSlBaCt90tQsclVI3ATQUwPUGq00JqzeeUGvVm7WT3ukZ+9vQ7a5imidtjxvuNjoRTfYiEbOq7aox6Q54Vub2zK/khxlM6xwmUl1VKpqHiPdvk7C97Rj7R2FpjHhm6lwxNkQ3FS1TRTDcZN9L5zqVQi8Z+jtOW65ub3hmCqTqKMy2TMRhxZCmIVRu9lBdqijrKK6JNgJXO5apM00DwlhILcV7IU4JQCBuro+Mm1ALH44nSYLt7yrQJbMeBMDnkHlKJZNSGq9bMxqn40DYo0h5ssfpUotaVO/qAOilK/Oj3Z17pKihUT03TLbKku32sdn8ab706CvS1Lw9c569ea4OpyHlTL8puMm+MJ2dLlcqxVnLypNSwWDaDGvdnN1PEsJQVFdE96FrCVvXJtjlhWqNiweiYeA1qoRbdm91H21hD7T65pqfJ5SacpPZx/WqJp2uJomEDFhicpZigUfUfuFJt5FPizZs3isLViBXDj+9+zLjZcGoaHx3QIv4U95SSOcwHQnDQJu7vTnhvyenA0oR51kPWWkgZbrYKkuTU6e39Y/eDcv7CMGGHkY1ULsYRP2751ief8Oyjj2mu8eqLz8C48yTF9vCf9Qx8PFnQe6Yny0rRKo+pVsL5oI8xntXhaYnkmkk1UVol5kRshdQnSud4Z2MJxhB7+ENJGSeBQSwvY2a/PzJO2uAf7u8ZRqU5VR4Xxepes7rv6BrhLDBsq76h8+bXcJOzY0XjHChUStE491rI/VxyTv3mK40YE7UJx+PM8ajCRHJ3KfBehcbSmOeZ2CdRT549ZYmRu7s7Xr9+rWECzjEflZZjkLOmwBuHGNNDDXYgnygyfTxye5op+8ISB5YyQG04M3Tqk655DYEYsNb1Itmd77EPGoYybgLjdMGcD7R3M7YWjKvk40F1I07wtnPwuzhTvd3BNA2CcMbqRKfp88FIp044hzPapKwj5kOJLOtUq/OS1RIs6TO10+0wlibCEILGqzcFgVRkplFMinTqgZ1i5yqbHsxVhLfLgQtjGDcT2AJLYTChI4eQi4rRGo2a66N1rJZcqU+i1qarlIaz7oxIazBrPUeQu9F3RN9o6FBVCsUqei9VE03Vq79bwpX1zOx+ulX32erJu3r6ilV0PPiJKrDf31GtBuhsbGMaLNapY5LvYu31dVV8184iuxX1XRH5h/3Ne79/PElKKZFT4XhaOJ1mneJizzx1nfVq8IgmPq1+9w+Tl7jM1NKoRtMrQ5jIkliWpLqDpu99GAZOpwO1KZ0IenPVRe8hjFSEn/70Z7T2+wzDRClLd1HhfHatP6u1tk+XhdZ0uqVn2MPXinMY1lqmdsqNI1XVdZWi4WQybPBhxH9d6VdVT2Os61MyRcxjKZS+F4JYjHeY+oCgr+/1V73+wiK5tfYT4Pc+8PevgX/1A3/fgP/gV34HAD1VqtZG7ehm6WlFta6Uga8vkueevlNto9YCZUG6u4LpixbABTBpJXl3bmQ3nq+1Kl9+tVuzGiNtvMMaaJLwfkIoSsvoxY6OSyqHwz3bmw3f/s7HPPvoms1mw8XlRtFDqczxyHx3R80FasRIpSzKHStSe1R2puaso9w46OIZRhUPThMpLZ3CYDA9gap01HccR+Z55vagoQ05ZwqFVsDb0NEHjUCtaByxdQ7n5DyOAS38FSXqV//s8pIUKeu0ipoK8pX8cyXfh64oXQVCVkcwreH6A5OY9RCRRrBON2QplAx39wf+ud/9y3z07Anz4R2egquJWhItLcSoJvmMkGvhcDpwOpxoxuKDo5aVlwTHmGktkRHsbMCOjNuJcXvNbQFZCs5axmmHGSyxzTQsf/KTH/GNjz/iN37wff63f/jjLiTTQzdRtajqlA0jQNXmpwlnWsXK1axSqaWSUumildUaj3ORjHnES+WBZuHWkepKZbA9Tro15FHhvI5cv3otKWKMFsglzed/I4xbpdAYddqYcyG1AHZLzok39/f44JG2Y7Xtkh5w0pqwsTp9GEpB6i2UjPgDYvRQPtuOOcGhnHLXA1WS14NydFo41Gw5xVVAo8XB2gyefFdHo1G9h1wxYfjgz/rHf/zHegYU5bUd54MWYaUy5sr9YQ8Wnl5csN/vcaPjcDpx/eQJ6f7I9fUFGz/gg+Vwstj2EMyx2WwUOd8oCrTZbBmGgevrJ3jv+ejja4IbGMKIHwLFWj799FMOp8Szj59jh5FE4uNvfJtps9OHnbP4YQBqHzH3UbSF2jK1PgjlSlGKQXW6TmrfndIaZLh9+06RxZTJMRK8xTTLRx99xNXTZ/zslydSrpqwaUQr/aa8YGPVUWdOSWlUWZ1h3tzt+UvPv8d8PzMf7xmHSWkErZF72trKZdSa/VG6mNFxaa0P1Ik1tfGxmCkvUcGD2lhSIi0LOVecC4+cLRRFOB1OLCmfUePauc1nGoQI94c9JS5sry95/ctf8vTympoLp5/9jNYal9c3+m/lPUvUM92Y7p6UK+RKrQdyzlxfX/Pxx89IS+RkCm/fviPGTO6OQXNvVo13DNOIc47n22tENPr3McLuvVCqMGwnxqsbrv0TvnNh+OLdEeM9m1FBHOOHLvA2+IvN+V7XWqm5gzprYxa0QIwl4q2FJuzG4VxkAXz05IJT03CYWjVa3DTBVg2oWhEa5zTQaBosuTRu7/dcXN2oF/tSaFJYBVoa1tEoNZGSFtjGjVSr+3Pen3rTpclrAEsr5NLIrtP1mpzH3tC5yfYhhQ8EawfWiXgFjPMMg2XIQ3dV6mvOGsQJ87LQclF+s3VsBs88L71ofLBnK3U53xtrO9WxnxkhOJ1aR03uFafCt4urS8YwEO/3XEyJy51DyqJodFUPYmfVI9ygfsilJlQ425+lZ3/3ej5L10ZYrdxWioi6VJVmuNtHTqcGTc+LoYtsV/syixB6iEvOkVI6BdQKIWy0vum0LSOOcXLEIlxdXVPFcdifMBZ2lxfaVO1PKA1TsM7z5t09wTq2F9e8+MUv1XrUqhWsJtE+qoEeFcmmapJwW9duy+S8Cgwr1hgG3/MZUiGVhc12wgZNW1QgsYDtn1n5cEZGq17/DVqnT4VeEyVOPWfDe6cTEjRavfTE2uGfkk/yP7Wr1sY8H5XPaLoCkhVtbGpH8ytU/mu6DqiQrOYCRhErg1BKwgoMnWMcc1ZeUueDtqbYiBHR8JCOPNieLNO6p5+syj+Uq0nTJKmr6y1Pnl6x3W4Yw6D/r2aWUyKXSJwXao4gOvxtru4AACAASURBVJqOaWYXurq8dM5tVT5Wjrqx/TD2rq43Ca53562pitis3FdPzKlvGBXUtPKAepf+uTTTaRW14Nuj4qw9iIXon8FatAHY4LueGOVKd59Ja3WRrmgFrRf79cFHWA9kPRgNqoCnVIpUckf5S63EHDEiPP/ohrKcWO7voOwRKqRFBWRN1frWeWoslKImCdV4KuBQfqvt/JXWGhivD+mg4RhlGNmEB17ZypFKtWFM4/7+lu1mwLtAWo7UHJmGJ+CgxfXB2tU7pemaMCoa0XX0gCys/qiIdOX1wzp+vKZbU9V4o8AjRfnKRdQ/a1H83vf0ovxDV6mV4RHvXBDy6lNaqxoK1IoV0USlsMFaRy6eXArgesGvn2nNWpCfrMXhKC1hahdzOnMWb0orun9bpWZFCHVSIthKR7J7OKzAaBvW1I5O2LP7hxFo9gFhXZaFrxuUtbKQciJnmKswk/BGEd6lRpyDaZqY45FUFqTQpxutexaDGS3UQrPC1XZS2yrrunAP8oX+3fXVE6Zpy8cff0wIA88+ulIO9SmSGxxzxFRDsIExeJwzuDAwmZ2GffRm0jpHO6fuvc/7XBufx5zl81Snf20tOjpdloWSMnGeVTi6C9ScCM6xHSelQDi9hzqYaJj+wIJKMxa8pRlPNZUmnsNxxlhPrepBvHLQnRgkqJD5nFve0c7zurfvr+vHP9NjMaKVnqTZp4Bz92ZdUytzKdSUMKWQlsTd/p4XL17w5RevOBwOOqVYke2q04ou2yeVwt1hz2YYKUab1P3tO3bTDj9tmI8LDfTnQfq+bRAcdhg5zhq+stts2NnC8OQptcEcE8ucmJM+bMM44LoIKXQxlut0lFL0PLbe48QSCZzuEq/2wtyuiG3R9MlhQipYq8V07ZMfYwxiPQ2dyIgxHUxRtFiMgVZ6OJFhPmWGwWPt6kecGHoqnFDPDgObUSdUqfTnmKz2XOp7u9q1DdPIvhzxxqh7kel80mBpS1ZAKxakGrwXYsmYbm+JGFI3jq7todEWazDNPqRa1j7ddPa8joA+Resc6ZyoOdKMZwwBU6sKy0FTOAX8WUDWkcKOvK7r7awROSO3lXp2Zxl7kw45a5NRasa7QGtWJ5TzgePhnmHncdKU7tYnfc6pk8SHapT13F6vx1qfdR88FqnCyt82LHOmVp0oqr947jqgei7qpT1kHqwoKTgMXu3Y+gQ4loofrIa9WMPoPMnPxJi75ajByKwUn2FQpy0MqTSmcUsYN0rNrA1rVhqdRkevyYpf3e/68xVqNeRcz/cH66Cfg/q+1VLTVqUDTcPIKWVOTagxsuQPOxqpJkib/tZ0OiZWDRX4yufbYtJartvezofjh1/zA9c/E0Wy6Qun1HQe9zvZouMDgEptX+9rtx3CGb1jpU0UEAzOOGqPrByngY04BqPQfkqRlBbUWEYVm+O4wzhPLkds54iKtVgH1fQEnaYjnEalpEiTyvXNJb/927/Jd7/9nGeXlwAs+z1Rmvr4pgXp6WzLfCDnCDVzv2i6HG3l8xgknVhyolWYtju22y3Hg/LNnjx7inGBdFqoJlGcqm4rBeMd027L4XCg2UkdLUJgv9+r1Vqw3VtXN1RcdIHXAsa4M1fqLAIw5lzUaWqT2mJ45xg2jtNxf/ZUXkU5YkqnBzyILk5RKRZ+5TCKIqLFKl+Vfu9CCLAc+e43nnP/8gX7uy8ZTOS0JAbRz6jWSjOB5WU6jyPDcEHuP+/Ukczc6tkBxBiLOEMtkJxlnhySC2J0ZBUmRa682VBqIpeFt29f8u1v/hrfef6c037h1TzjTFCFsDcqBKiN0nnozngWqecDI+esYzPRwmAYPbU8iLBE5Bz7vG7knFXU56yjdTS2tXZ26WgNDocTRhy+N0tG0tciyXofu+in759aC/uDHjqtp/1579lcOL748hW1wuXFdUc07zBWR9AiwrIkEokcRmZpJAvBZEzNSHmwbzLNYEvBecsSZ30gBkuqhamKfu5Fx4ZWKmbbNFmw06Ckm/1vs9KYBq9NyVIiYfrwkfXx9RUhjFxe3BDCyG/9i3+Nj54/Yzkd8Va52/M889mLf6JOKvuZ+9s7Dnf3vH39DmkJi+N4d+BqHDjKHSU1lqVxe5soKdPsDhHLp6u4znaFthe1fJs1AGAplRyu+fhbn/CNb3+bVBcuP77Ahh029PheEWrLbDZbUko4Z6lVusBN7btWUab3HpvlTAkrOUMu1FKYc2I5aXFckvL8xu6dPoWBJ5fXbIcNx7QgmrWL62KZUlNPCatEVIuKC7hx5PXbW3JW5PbpzSWtzOqB23nZui4tylB7f3y5nuePH5winpQS0zSdz5mSEnNVEV6l4YfAfFxISSdRK/d2WY7UJfPm9Tv+wT/4R7z54qU+fJ06TZRZOYsXw0QZHK/eveXm5oZlf+QUE02iWhfagdfHe1yxjM7TnKMaowXBWqA0C7GymQLGOO4OiU05EEadImw3HrMbOC4KAtigsfSlFLzV/R0GPT9z0a8J2y2lGl68XPji7Tvs9tu8OmTadEkuKmTGGGyJmAZSBR9UHHWYj7qnjME7Q81ayNkSsd6Sq9K7cm14F3h7f8A6g3NaUIfTHb4C1uCdpbXKMG10UjMnHSqIJ+fKaV6oogEtx/lErIXWupan38dUEs44jDNYaeq9XRP1qMBM2G4ppXCMJ7zbIEaLRKkgrWgz0Itn24GmRmOOVekqpnULT/BWJ5dYyG1t8rsozHaf/qITTtv6RLJq2qGIMAyT7ouiiK9zcp7O1ZWmYAwldeeOM9WjkEsmzfeEadSzPie+/Y2nfPINzzQWgr9nHAJDCExB6TWm29caEWqPsl+nKas1mxi1XwXO4UINQ6WcnwPzPPPurrJEFVKPoyWRzxqF1t+7c44cl3OhrlQmaE1YUICuttRFo4EhDDQqX3z5itGK0i4lcLrf42xgMIG130ylcHV1w3w8kWtWLcyScZPHWiGeFsJuIKakfsmPClLD+84ete/xnJV62XxgM+pEMMYZqZZ52XNatDkM1jFNA5WBUg3YD3OSi1VBsGBoKbKPCZuFZtXAoJRCzHom7h6dO2uN86te/0wUyQCUirMeUJTR95iV1t7PGv/Q5QukWrFd1BAPJwSLH0esNaSQKTlrN28s0cBcIdpA7aMYZ3zftIqQCEO3dTNIsVjZ0ZZ7SrUkBLEVNwhD2bLIzOVmwzeeP+PmeqdcwOVES1GRqTzjrFBq0uSftuCkkOrCcrwnnmaMqKWWdR43biltQZxwOszkWLhkQEIgHgeMGxAz6ubnSEuFYRgYvOeTj54QNgOv3rzFuB3zIdO8kvpLUa7ZEALS1B6v1IR1ihSkmjROeh3LB0W7lmWhUrC2KW/cFJZ0pDpD8BaP1RFoawQ6T014tGkUtT0V5Zq6oE2N7YV5SYlWCrYk3MWW65sNr19+RjzusbsJI3tqMWpbhW7u28NrjHOE7VNizkybC1rJ5LKQKIQwkuZFEdTBE0Igvjnhq+fK3XDkvovelK4zDAHTBhTv1sL/7vAOppEolTA0lhyxVukvtZv4Dz7oQdcatExwQdeRtbTcWGz3i6z0QqiRo3qfpl4we68PWu8Ula8NvFjMqYLX0BGLUkjG4KEYVbqDPkTMh6lI1vRQCrt6TzaaBU8X/jRF4moRToeq/sA5Mc8vcc6wvbjBGHVJeGzbk5NGrVcpWCxOLFssUhqmNKrxmCkQIiw2E3NmWTIYYaH7JVeDA3Zhg+sC1jXh21T1+Y2uYcWRc6PVzGR3+PJhusXgR7COH/7e73J5c82//G/8dbbbLaP1HPcH/uQf/4iYC7988UrXW2zc396xvzuw3+85HRPDNJKLYGukHJ26xljL/u5Ea+CHhbQkxhBwYojHPcYI480FkgobN+BsYImZzdWW3fUVxQpOHIPsKE45pd57SspItdQGzodOR1C03lttqKwJOvVJDRG1ojRG0fhUG6fjgePcLQWLMA0D3jpi0tHziYPyQ+tMcFpIpVao2TBZz2Adb0uilso2KOLsiiMPwtuXR7717Lvcf/kG6wf2h3dcbLYYAzEdmWSgdXupZjWKeG2KpX1lPQqkpuJVfVAKwQ80W0knbYjUltKw2e503AzUnPFDIC6NfbwnpiN3X7zgxWef8fwb3+D+uBBbwoyGuBRCHSjHI9N4ySk26mCJZWZcLBa17WxiKWLZ10aoFi/a3Ln+UF+8FuugY+/tMBGzJ2dDS5kwKGVlO+yUK5or1hnlTnfHBtfF0NP4jFgqb/fCMRlu5Ya2g7vTnhgCgw2MBkpasD0+2oeBZVnYuB5ycoqIEcaNggBznrGDp7kRsYItM60kgm0sZSBW0SapFKUOZEsRh8EhfkBa4eW90hO3U8BRqPmIoZJN98quGoHtEGYx5/CPnDOhwlErQfVUt4OK8Tp6XVE0PmVLricMhmCsWoChxdSqo4GVgxuR4HpT+GD9GjvC6O1Ii1HdQOwGqNR8pNWCqwbBwf9D3bv9SJJt532/fY2IzKyqvs/tnDOHJCSKomiLEmzDhg0B9psfDfgPNWDQMGTDsF/kGy0TokSTEg/PfWZ6Ll2XzIyIfVt+WDuyqg97AD1YBpnAYHp6uqsqMyL2Xnut7/t9JtPmckmHTJdJydahz9Tm8Kczxj3DuytyzogU2jDrIfzhll30fP47nwLw+acfEZwleqPFXV25u/spD0vho+cf4+KOON7ANJJ7ke2cowLxCeZTARydP9xUp+utQ/rE1wgEr3tKdJ41NW7v33GcG0U8PhSdkDbBiOW0aIPIu8LQvA50nCMO2vzbDgE1GayfqBbmmsnnE95HbNwxy0ZdcoSJXoQXEI9lZZgiD6dbHIZDDLyrCRM8RQosC9EHSKtODJbcUX2GLBWpQq0ZaiFaARMvjbNSMkYKpVRCsMqILpXQIkQhp7fc360Qr3BhQSRBPnxwzbcmKKXCOXAT1TaatQxSMAiD90RPv3c9a1IqljGGsPtbJrfYRo06SgAxcK5bR7NjkL6HBQuQjQEf1O0o4MeJ4IZLOpJt2hWda0OKdtS88Ux+oATBWofDKnuxGaRZvA8Y01hTonUWZvSqM7JdGJZzYoiezz/6iM9//DGvn+3ZRc98vCPllTLPmjNfFn0QotfQhC5/WBblBaeUWJeF3W7H4dVrvBiMCyzLQjSOaD2taCpdWmZ8BBctmmqXiWFHXhv7ac/NzZ6/97u/w7/40/+HQqSZkaWdcDhqLtQqlK6nDT29zGIvIx/TxyAppcfEO20XYYHotSPkjMXhkNTHjtieZti1yNb0cWinX1iVGghgujnHWX+RFNSWWZaF3/rRj7m5ec6/+Tf/nGf7geXhHfvRcrq/h9p09B0qYxxZssLED1c3uoB4z3Lu+Lsm6uTvkZiUShwHXBg4tczkBvI667gdTzUefzNxPq7c3p+IcWB6vmfwgeA8RTxZDK0IULBOtYybHkpESEumBl2kG2C8wfXu+SYpEeGyEWzawe1Uq6xsuYwGrTOU1mhFLiNz7z3NarFRpbuyv8e4Z4xcJEjbqFu160lNk9FB197OZyVpBD/inI4R53m+0DlE1NChXfJGtRZjCxvKPbeCbVV15wasjRzdmdlXCpuLXLtCxliNgRY16tqOxrLGqUa/FaQK3hSccZjoMC1oBLf/sD5tPBwIw8hPfvJT5rTyP/3R/8jpdOKLL75gXhbWoj4EvzeULIRBwxh2O+2qHa6fkSvkXBmNpZYV40bO60odRt3ghh1ugrrogbDFiZwLp7uTHuxD5bh8hwmB//I//11++Du/hRkjbhpYpXJ1kR89jn83k9VvyiuMcZf75GlBQUdbmmI4LzPORXI5s+aVZy+ek2vly5/9ilwzNnjubk80PLs4aOS4NKygh5mmB+FtxNxao9mCc4af//znvH37lt1+Yp5nNRuHleiDai6foAe36chFl3gxNtvHdd2ZS8OjSaU1HWMbo4dHuqwrbWjBQaNxh0ElUl9++ZY///Of8fMvbylmz9vbxOHmCqkLy3yECMdyTzReO+4VvN9jwp489BCJbfrSP9fzujANXsk0/X2YlkEsh/0VVjxpWYjjtcrKWu0YooY1TScc0g/PwYM3HA5X+DBQxHK7CHfzmS9vzzQ3sRpoeMbDHmMKtWxpmQ7nIj0hm/1uVPJDVjqAiGjH2AXGLXCyy9gME2KGizltiDuWeaHWwm43Um2h4EActikqLQa9DsusmLUhTthg8SVTmpBSZekdShuepH82Tf0cpdG6tE9NicLcNAlwXdVLdHAj0jUVscsS8qoIv+w8WwKbILhpYClJvT7Goh4r0eK4yxWGYa+f9bwyjpHr6ys1rC6KKbsEwYtKAos0xhBpUjDO4Z3ixob9c05LUa23y5iW+K2XOz56+Yy/86N/yG7wXF8faAbW87dKs5mP1JqRmqn1QGuF58+fM8QJY4SydqOb6YQLuNQZFwO8hiTgbEdmNgOiISxOU8RYsyJJb++OnE8alW2HA6mcsDbS8Gqkax351+DUau+WV3wM6nNwOnlzosBO34WSYh05Faz1jDFcNMEtV0w3wjvXGE3A5IYJmngqwTE+v8ZPAyWddB0PjkzDGe2SW6MM7JqLdu2dTo9/EwywGQu39SL4CLayLCu5QBwGUs3kZcYMI+NwoLbvkdi1ijQ1pj/ueYrDbFV1yKX0oJLOd9lPY5/ypA9+zQ+9/kYUySCPIzpD1292HWcfTXw/JRlFBAWnpjLRblufcnQagerVWrCaryfgcFjrsb633gWkmcv3KdK60UwfWjEWsfFSQICOPeb5xKcf/zY//uHHBCvk5YhNSXPE86pg926y0w2isSVtAZcN82K2q2ocCCGoocHaS6dy0yJCI3iD9YacWv97wjKveDfwo08/4Sc/+Qnf3C64ELv5yVw2sWbA9sVkW/y2gIJNS7wtYpcrVCrNPgYeGBrBetWubqMqQLYxxhNN0KYNKz1FZ3PiGzxiDcFvD5J+/7u7O9bzTA0QKKxzJ8iVyjovhBaUurCu1NNCHPaX4vIyyta502Wj3uQ4zjlyLYzOUnNRNuUgmKpcVBc9VzfP2E3XGuvd4efS3bGbDlvEdEly51saTfrZ73eU1jguZ7AQ8iPVgr5QGDbjiPsNLeqjuWn7XrQn7OTts7UaZdrJRXwfAs7S2d8WZNMut3YZNylBQzal+OVvSdNEPxdCh96XXmj3Z8mJNrDRcZ21yrrWO7NixeBdIFeNl6UnP1lr8S1jbdePXe5HPVTk2thYKhdqh+uQfBq5Vmz88HttxnJcVr782a85ns/UY2LNCXEWt9vz8qBmu2U5Y4Nnd9hTRZFMx/sHppvn5FUNYSE6pOn/q0aTHitCGCZNawwJCwwhUlOmeI3izQIPIoTrPVevXzBc7XE7JS9cDj69SLb9vzfzpntKtpBHj8Dl9+CClwJNWEspEbyOM1NZmfOiKMX5jHGW1OB0VhMzWQ8nYSPP9BAJ9VNwuc7b8zrPJ87zCStCLqvqbPWEq1rb9yD/Kp/S+1nHtZdnsd8Vuj6IaijFYejpc0+kXZd7/sl73pIrr6+e8fzFG+6PK8uSeP3JDdUNGB80aMZZzvM9aVlUr9ucYipbZZimy/dQR303kNVKTomS86UYN6bhnVJmcBY7aFqrt0blMFafz7UsKivyUaUxgPWR+yXRkqPg+eYhk7KhxmtwE00GwBDigIh23WhGEYLG4f3GQbeX0XqzumeYHoUOdCOfHiBLhtYM1ViiU/+Ad5s8S30WhS5qyBVvu55W+x5Y18jL5pBzSomwW+S4vVyDp74VWsE7TWmzAss6I3EkOM86nzFNGHYT+K3xpbI2462askIvknMGARc8wT8av8pa+n5naZ2GYrzt0xbl5oo8hu1sa+ZTs+R2rVt5bCC0Buei7OtWEqauvHq55+/+8BXPrne82geQzHr6ur/nipHKGC1GAsZEhukGaFxfHzAEanuaPfDItfd9T9uu2fYztn4Yds6rZ8I5TbQ0miWQaiGlotetCkGUWW6MqDGa3oTwrqOh9GBRTeuUJNefYS1cQ5/qAjQfWOvm61BDuT5vG9dY5ZKjnbRj3E3FcyqqN3dK+JK+1zeka8oLIgE1/fPe53GZJtv3WeqXxk0MWOfwMdKMMI479lc7ktmTg1LBJHx4zdcDySN7HHrSpFXpmkqEdFo6jPFialWJYfzg1/zQ629GkSyKwarSLoWb7ad+tvjk9v1lcjNWE2eqYJVLpp2BWhBRM5yIUBcYeueIqst3lNiLD0N1DWMVaj/EnaqOBWrHozgCrenXNQjGCftD5B/9e3+HV89H7r79peruuvlhPZ9Y15WrqyvioC2AVtXtiQjjOHJeFmKM3HUN6/0wKsvz5oZxmi7vsSRd2HKa9WGpFiFQcsJG02Nbz5Ri+Y//8T/i4f4df/Q//CnGDlAs8zKrdijo4aC2XnRI10tVNePlpkL+Rx1sR+sBIrqpWKNu8GoUQr9dGxG5QN2fFsnWaCc5bpGdXruT9+eFatRdXEphf5j47MUVX/z0r6glczrBLnrSOnM9jlSEd3fviNPAs5efMjXPz7/6BuKEc9smXTXcY014Y5niQEIUMdc7YOu8kASCKFaP5UyplWxhmvY8f/YGH0ZKjBQjFISCI4lhlYoTlQFs5A/XsUPB7RimPa4kjucHvUeMv3Coy5NuIaiRbOvQ9ju5G6Ea28o2juMlKXCLBq8UrDd4FQ6/d5h5+vLWXDrIrqPGqiidQxepjWpi2V/5HhDTEwJLw0jZjNQgBme9aucdGNOoqZDoSVEuK8WiqQZObCXW1pMDITY1ZHnRropBixhPJLtC66B8awxj1LBs35330zTSpHSE44e75n/6r/+SWoQ0Z01me/OS6/2Ow8216jGnUdeSB5003B/vqOtKSSvjbq+FfBwoU6I54ZjUVOtDYJomlZ30bv7k9NpH7yFGJOghMU47Xn36Cb/zD36P559+RNhPvProFeu68uz6Ght0KqEdFF16a1K3/abr2wxkTw9P2/3ieqG5FY5rLSxJJzDrvPDw8AuMUROmtZ4vvn7gl7/+hsJjOFPZmg6y4Qh1wx6G4ZJOJgn2h0m7aKdbDT2pmeWcoUVyWhDvMWzpXl4TRbs2WUPb9CAF3bfatad9CbhIbOjmwe2g99QXMQyDMqpTYl4Xbl6+5Pf/8X/IT3/2Bf/yL/+KimE3TTy72TGMFsvEs9cHduFAWlXyQDDIUQM4AgaaTi8A9sNBkWY5U7qB1cY93liOixp9dsPEsT0w+QGLYep63txuVE887tntb8g58+u393z19hvuSgEfyVUnFdkeQFQ/7KTgjOK5LBZnFR2Zy5kpDtTWmFMidyzZ3EM1ogVXNeZdr1MC58hJKRHOVZoteG8ZxogxakB2weOsso6baPKfZNt9EiPGCncPD6zrymHcq0nXGuLusUkionHYm8F5FyaM1bUzWMcwXCHDoPexEdKaMW0B0WCP1Cq1OT0YRiUyXbB/ff0zpseqA/R9Zwxq+CpF8E5oRojTnloz6zp3hGKglIrxj/Hq2uGOanirGnvcWmNJK5gTtJXnNyP/0R/+Nh+/vOYqFIKzDG4BozVIiw6KjuQVwarTz6udx3urptJWcW6ilqIGws4ctwZaH+trIKDVGgSUxmE0FAzZOp5dbtYUNXlcMsfTShwPhGHHIephKktTeUjLmtopFeujppKKrqqSFek4ThFvzQVzaJ0B74gS9HmrSY3wVvdfY9QjQm34ncNGy7rOLMtCrom7uzvNTRCgNbIkLcQ9tKIGQTcEhujJ5dFAWWvV6Zd539R3CQQaRkKMDKVSyaTSMBG8jTyUjEf0Z//Aa/COZh9rxFwLVhpGtBnaEHLdDO4nYhxVflQr7v/LMJH/v17ee1rp2DcDba1gN/j54xjjQy9T2qW9DlDmTJ6Cxp+KGr4chrJkkmxMTS1kXQ5YC+Kb3twua8Rom5UEQaVai3hwjNS1YI0jeMO4i/zDP/hdvGv88q/+nLLes9sdwHuW9cz97S3OBYy9usQVG3n/NOW9Z+0bnXOOw+GAHyKuMwyXZelapn5ylkotK6eTbkh3p5n9XvWEy+xp9Zof/eC3+cM/+Pv8z//rv8b5gbJmSOrmJTeK1W7UpqPSLpBuct7ViwRkiwQF2O/3SC2saeEw7VjXmWOpWG8vJzRrLdIlGro4d5f3mikd7Yc1eKeL+Dh2/a5UrIXXr1/zez/+DFnvOOeKu7rmlAveR+6XhbLMLHmleJBv3tGs5ad/9TPEBl6+eak/a5qVppArwzDhrWPurMa0rPgiRDGcHVxPEUNlSQuUTHt3y82zF1QzsVq4ezjxUGZOtbA2IRlL8xYTDSQtaC3qxMdavI28ffsNplWmwUGtpFq7E1kxdyI6SNgWCeBivEj5fRfvReKwnc63zrMTasnQqS2bQfGvP1OW3W7fN4iOzWobWs7gvRa43ntSPbIuGv3t/ahGjU0K8xsEjWE3YDu2q1ZRCdK4cIgjB29Z58Q6L5Sdo4jrxlCn5ijrKM4qzaQJxiT2aYVmGGLAW4sT7eLo46ws7NYarSbW+w8vWS/ffIQRwz4eVMYS4aOPPqKIhk2U+zuWZSHsbpiGkRfXV4gohaashfNSGMaBxkptCy8/eUGZVyVIzCe8D7Qh0LJOZ1otnO7uCSEwjQeoQjmeGKaBN9OBm2fPuL6+ZjeO3OwPBIGydbfa42RpCFuHY710cZ3TqO+tWNy6st46xEBaE7kWjLPcvnvgFz/7OXld+e6rr0GE3ZWlNMtf/uI7vnh7R7x6zZIy1eiB3zirBYtzhErvzAnWwjiNzGnVQ/oYuf32jIuBl1d7JRBZq/gteez6bpOOragavDJspWwyG4sJ2hncWLTeeyoVjDYNmmwpXLruuRhY1/XyGfz0Fz/lj//PP+GLL+5JzvDso0+4vcucC8xfV9b0wDAIy09OvL5+DaWyvxkJkwPZZAUebyB4nQ7Yfm6kfwAAIABJREFUptr8OO3wIZBbYyyq3TZep4a3DzMm7KnFIbUxHwUjlW/aHefzwq+++FcInjhM7KfX7K7fUK1qgw/XE7VUkgRqqjgreNOo6xHTbmhGsN4wDoB12gWf9uSy6sSiClmEfYx463Xa1wRn3IWS0oIGAFkPwVp2u5GUVV5yuBrIuWKDcs9byTjTiLuDmppqxUkgTFfYuGM/TIhUlpwofYy/RY6bbig1xjDnxm4/IFKZsxZL9f47RITdbk/wjpwrGaUiORPVKL9dY1EcV3CPqDwniol0DWonISzt4fHAiK5bWlCrcG9NM7b5LiOb+hRlvnR0S5+W2s5bzrXw5kb4nR9/zg8/e8UPD5F2OtM8uBARa1mWBH5gmq5gfUeunTrkjdIuaiPlpEmXxlHqzC5qwIdUNe4CGrjD1ueULguAUmei84TgcE6lT7kqNi7nyrokHk5nvn77HXBNrpXdYYeIoZxviSEQogZ3hBCQ1LvBVSkg3jl9/lq+PJ/VNg0auV/YjRGnNz/iDHObEUacGwh+QKi8Oz+w2+2Up+49V4cd63nGlHYJJCs1Y6ZImJQWUVuh1vfXBIXfPUrMtoyHp9OilLRh6F1k2o/c3NxQpXJ3fOChNPaHAVkq8Nd1yc7ommV6DbKumQYMLmKdJmXWrAV8bpWHh5nd7oAfdyzrh2V7H9xH/63/5L/Tl+CkMlpDSj39Z+yjsdLZnP7DLXeAGDIWp4YoMZgQ8aIfGF0fCTCGSqNSWkHoAGqj4yVnlYiADIDDmKDygI672tWAc57sjhg/UAVevBgZRsP5yy8p84npekdbMg/lQQs0o0itZU2MuwmpGdCAklYqthnEWMJuRzGeMEwUP4Bx7OKOWhqlanFk48B0OHC7HNlZR3m4ZTeOhHUhRE9pULPnXAq34zs+efUxwZ2x/khMV7C3zGnVEAfru0lHuZJb98ZFj3VRCxTRyFVawwcLaFKWmMY5z7hgGIzqVkV09AaGEkcw6tilaTepOF1ch2l87I5ZS/TaUbTGsM7w+Q8+Ju4G1lNhEJhvbxmf7bFiKA2WIiAR30ayWQhhx0ev31BLwYbIu4db9qAnSevILlLiiK8aEDEOqmNKqyEEz+o94eaa6OB4d4vdec6SsDiuhmu+/urI/SlTJFBkh7Wett5hWyUwPS7gpik5wzwQgsG0gCQwaEqXNKGlol0FUGdyeMS8IZVSq2oZc8YUoIcjpGbwXlPOUl4xRnBNY9GNlS79+PCz4RuU3qUO0Xf0nka0mm4yaq3hEfDPse4IpiKmkWVlTQUpjRgGwHYNtaWt2pG2Q8DZyrquSPPUXBTNJALWMIaKH4Fm8LViW6G4g3YWWmWP6cgo22N2e5faeUoWRZGlgqmG1hy16LP9oddMZjcExM8gmfjsGV/df4VPlsPhiri/5uE8M7pOWdhdc3f/TtFEVbvWlJXTwz37lzcMkpnzURd4r0ljtbOMU5dPmWiZ80I7R4L3xDCyloqdRoawwxmP7/hB6QVaaxVnLbUV3Rg7xcH1bpepdB2h4gild2EBqhdSq5gpcnz3LctxxvnGN1/9ipYb7+5mjsvK8jZTUiXIxD4cwERSTBpA0VQH6YPKdIbR9w1mBRytWl5MN/zgxx+xf3UDX+5I84klqMTo/uHEMAyIVYPSU/TUMKgPpIrFGMGSdXpSGof4CjE6VbLd+e9Qc6sUNfQaY3BRN9HSGsMwcX984N13d7yarvjRm1f8X//Hn+DG56xtwh085zkhfuKwe8Xp4R3jMPDF+agm4nuLX/R6Xw0TVy2rASxWqoHclPjj/dwTV2H0Oy1ExNDyWdnTppLyGayQiz7X5uYF0iJp+C0O+xt9PoMni0M6GWPJuhYFp4fjtQrNevwwsMzCzfVAk4S3RkM+qsOkxGhhqSeMgWsf8WLZuxFspa4P+m+vEiVfG2DxHkxtOAtjHHDOcnv3HYPTQ2eVRmpJ/QySaDSGEIjREbLe0zWdEQP7/YF5SZTqoB9yQpdO1JKJk1A6b9iPEdtQOopzpM60Nd6w8z3ZtRasaBCVtUpJss4qwqybOS3dFHwJlKiYrPdmqUllOh7CsIeSiQSaKRzr3GV+hWYNYjzeGobgqfmW6+kTSjZYN+PimR+/eMPf++FzrnaqOQ4mcPAHpAm5CT4MNAPz+V3vzqJThP45LKUAgdblCqBrYS0dedq9UyVrc8TZx4OAyjodVZwa8rwmQ1IWjAPndD843yfqOlCWB2wbaG7CULiJkxq2U+0a40xDTadYSzGahFu96txxmgIrTWWoYeiZEsYzTZHWLGZuxGHAWo8xipOLpUHOGokeIhIGwuEZteiBqIniPpNUXFEqlTNKZXHWUdt62ZNSEppvDMY/+hQMSNelB4+m+tmAqYZ98FwdRt6dZ+LwmpQzQ/gw3SKvi9K5cu2ZGB2JygHvDJTC3moY0xquyaZoirGzEP6W0S2MtRAD1mjx0lrTokLQzqug2pvveUVUE1a7zi3XTLEV78KjaB4oY6Q5g3OBGHV8lq1q8owLWMCJw/YoaTH0kXpFqqGJdiOkWaiFwRte7vasp29J6YwbwKauF7aW4/mBcb9jMJHTw5FpDIzRU1fFNgXnFO92PvP8+XOsdV2/E5jnmeA8h4O6qG0YyDmz2+2oufDNN9/w6sULnCRu36lrdRhuaKYxzzt21zueP3/Or766x8dr5rkSY7xwVa21F67nsiwq/Pe+m+1al03Iha156oQDFR2heKPe5WptM+8Ypm5mUN2l/vGxj8J0TPioeVbsjruM8pZlYRwGvry91bH9Rmcg9JhUR4xe9cjzyrMp8NkPPuX+fOZ8OrEbdpj5AdBbphpLqYJHUW05Jax1GLNwniEvFRvgh599jDeWd99+wd39kdevPmOZH7g5DMoAdWp6Ko9Cd1IX/j8di08xqIbeWlrQ0qZvGdot6QaEfnx7z8wAEOMI04Q3yvg+nU7dILWRDawGyojpY6xGrfK9RfJFqrR1oq12jrfEq+1n0E6NouaMOA2rENj3w1TuhXb0AzZYSgODp+SCD4HBOwa/EpwlpyMlFWiGIC/w8XGMDiDpjNRMWlesNIJrlKrx69bqv3MRcjGIExZ104FY9QOkD4/Jnu0OHKaRwTvub295c7hhejny0ZvP8DHyz/74j3nx6g35vLCuhYfjcpGWzOXMYA1lzby+2pHWMxL8JQ1PUX/Ce12SLgeIMVIxLMvC9c1z3nz2CfvrK2L0F94sKBqwtqShJFJ1TTJqan2qEYfOtHZ635imS581irek6aa2nya+Solf/PLnfPHlN/z6V1/x3d1CE0O2GoT06Sefw+Dxw4hHO19Il3m0ldYqYTddns1nz55Ra+XtL7/go1cvWY73pPOJMQrrcu4+iUbJK9ZEaF51xvqTIrVRe6S2JpPaLv81rGti3O1UVsI2nXj/Ghqj0odNH7ylVlpr+Wf/2//OL3/9Fdc3r/nmYWG6PnBeFw43B9Z15fa7t7x+dqBWz+SUgGJcJyaESCqVh6QSLCuOVCupCrkpy3U+a9d6CPrEjuN46fbncEUzB+LgGa8PBD9xCFocjD2YJ+eVVJUHLFWQUmg9QKEZj3Oe6DzUwrwmgt9zPJ+wprKfRpV7RUvKOlEchkH9Kc7RWuF0esAA0VtsNETvlXlrKyV3skQtl1hvHyxx2FFrYlnWrnnubPOu8l/nM3lVw/iw3/XDbiOfbwlNlOrQ16fo+zhfAksTfGvqJzEWi2DG8T3fxzZV2JBbWwKhiGDF9XVlhT6Wj8OIjxZJhbTq9DSVBzQme8B1uVCzBXHCMDic89Rz0lTJ4xnvBqY49fXfMY2vMfWWvc/86M2eP/i9/4SbXSWXIywLQ4hYG967/3QoqMbZLaXt6ZQk9gJeSsO5Lqusj/6BbTrozGMS7qbP3b7W9tp+HcIAnTfsnE5OD9cTxa0UjB6kt8mMESwOa1yXplrlzzuH6+l/G3u9lsIWZhJ9QAaPrYFSEseTyjynaYdBTczqTbBMOw2lebg/qcHeOZDK7e09N892KmWy6BpfDM4ZTYs1ltae+F1AJZw5d3y5vXwWzrnug3icpEqXnV0NA7EdMVIwzjzmsPzG62qYSClxc3NNQzgej8SrkdO5sswnnaTud4g0XF4oTpiXheYcwzB9+It+4PU3okgWEVJ5Mh6QdnnYtknyb6a7PX1tPF/vjWLTjWWYIsEG1eR0OkATpx0708D1cIvY2b1NbQpqNamE/o2b0VGIoGktzgs1JwyN3TQwWqeBCaVyPp8Zm2MI+n1TSiqdMJZcGy0XEo2a1OVLa4z7AWmGcdTNqlUtYqPdFqVHw0RrjaurK04PR9UkrivRZUrJtJJBPK0WmiSc2/P8+XPePVTuj6pRrPKYfPW+YeyxWLJdn729tk2qdLSMc7anDBe2FMRtAaDTReiHFaHryNzjQrR9TdAFJYZHs4oC8Cv76yt8hZJXzmsiBMfpPLPOCzf7HVjHkop26A8TMaoLN4ZAWx9v6VKFec3so3T39/b7C/NcKZae3qXvIS2rOvlr5fTulmMTlrn1OFPlWA8+aLCMeTQEbotozSonEeso/TM0rksyalVjBYpOAtVyi36A+htRzQibhCNYRzGlUy82PbMDkU2JwEVY+oFX0SbT5TMX07Wom5EDAaPPWy6ZgMqT9L3pglmr9LQkVCvNo8HKWk8tGlFrrXaDpY34ZrSwTFlNov05bkZNOs0KtirdINdECBNNNFmziRpYBI/1AR/VnKLTCv+9muTJx67LV+LJejzT1spf3P4FDWEaIu++/Yp93LHOJ2rNxCFwtd/RmDGpEjx4b6AYcpHeXTGI3cyX72vKL9deGqVWrp/dcPPsGX6IHVyvB00R7SBv+nErIJ2zjTyG2Tw1mXqrkxgxYJumU24BDFsRRW2c70/cPZxJTekbwQVe3bxAxDDsr6lNLiNOYzR5Sx++QmuPm/sWr5tSYl4Sr1+9YD3f02rC20jpXSToBVmzSLXvFQBbNLtQEGupWDyuX3+VdRm2w/FjauX2WbbWCJ0ksqaEyKMRas2NZa0YO2JNY3e44sFoEbzbHRi9Q+qqn4FJF95+DANhUCKH9YlgLOIso14Ucm5Y63n28rWuc6sGVYTdxDhqkp4ZrrBONFDJBgyOsV+vJWWErFpu47Qjjq6g1qOHTqN7kqIxlcu8poS1up+UpkVQcwZrdH3ZzM6IdplrXzRUHyuYnPG92EC6Fasf4rdCzXtFdjUR1Fyge+om7YsdxbmuvSvsPcZCXhuOgjWWlLSJ1Iq9GIe9V32/kky0SGpsh0cu/4jw3v1xMWcOoV9XvQdzLmD0+1nXMJ0tf/Ps0PdEDcGxNtBcJbXCeVn7IWUgVE9aVULYejppDIaUIJQ7nj0PfP56IJYHjt/dIWS8t8Sr5++Zp1s3sW77X5VHEyBG36PuaV1GsjV76vvGwdbU2wS892w/7pO89/9qKZ165dioNrmUHqKmBCsnlmYb3jis5onTar1woyP24rVqVXGdYg2t0glMagZoVWgdx5abVjt20wu3onzqqOzh4C2mQE1aa5Tc8B1tp1hTTdILwak0VYTWJUwhaNNzmxA91bdva6h+LoanaZzDMHCz3/N8f2buxn7sh7GfenALFynLMESCd7DzIIuSN6xod9xZ1qwW1mYalOWDX/NDr78RRbL2ITRa0xiDv4xtlCIB31sHAOCnAdcMw0GlCs1Y8nwkuKh6FKMEguvDDeWsXElTVnCaQy/dmCdWgevQ2b5GKRDVGRKVIAPOFtY0Mw2e3/78YxyJc55ZWuL47YkXu2smD8VmsjTmtHI6nXAC57xo6p9opGo1XJic0rQ4mOcVH4TDs+d46zifzxjnaL0TICIsy8J+v2ddV1KZcQ6yCOkhKyImGvY3V7x48Yy//NlbrM/AoK537IV4sSHInp7qnNdoTjXjPaYB0Yw+aB0/IwhrW987HVq74eF1mSlNwz6WvFzGVZsm86JjNv5itvjVr37Fn3jD5z98jYhDSqIeT8Q4cfzmHbd3R1wccVPk2fM3DNNECI69G8hFWM4zA12rh5DFsKaMDwFxIybqgnc+HymlwqDR5afTmTwnjktFCGQxnNbEH/+rP2N+MJjmwaxIMzg/aFe7dwi2hdJ7z3I6UrtJcDtA1LJivCflhBtGHYEt5b3Dz9ZVL2uiNC2GrLVM44i1mfP5TCm6iHrvNX7V9esEf23x3V5hiKTaiSlFY7FrawTfTaT9cy+1ImIV29cNPupGrjq+HYIWsK3RWiYEh7UQnGdZCqZBkqgR6OEKzIBNC84oYk93HpXVNB9wLnAYn2tBnos+e08OGwaIzhFcxTs1stLUvR3i9/Atu37bjZ7heo+bJh5OJ8Qr5/W/+M/+Cf/qT/8lP/3pz/EOXr54QcoLd7ffEPee8/nEftxxOp3AB5ZZNfliYEtvbEnNQqYbj9ZVx4riB/ZXB3739/8+w9We1599wrQb1OsgrYcTVJyBlgsVkKYmGJHHAmK7p9TZ37TjZgBxmGbxISiZxxh244R3jvnhyP0xsX/xA/ZhQoBX1y85zzMzlWqFq/2A2MpGLgEIcWIreK1Vo/DpdCKlxA8//y0+ef2ab778K/ZeTT7WqiZczYWFnBqb6TxsFJQuu6C/B+WXeoz3jH4E46hVwxSs82DL5ZqX0qc0TbuR1uvX/Oabb/jlL35NlcA4PuPb40ycXvD2u1teffQj/DBSi3DYRUYnfHF3z/WV4sLm4wPGaEw0gCNqYZH72L9//t57xaBZy1oKy7IgopOVGCOmLMp0jY7zeWVZVx7qRAgG6/W51LGZEkC8dNd/KzQKRRwihbqZBq3X4KfRY22j1KKaYxHGDfnWkz0Nath23oNYlnymlMR+HDG19m69GrdNsHoAt45SO27TaxhGy4U1LwQxBK+8baRS+3RPJ03K2XYhaGMJ8HHQzrORfiYXbCn6e9YQrMcKtGD0euvDiHXKX/dBmculFFrR4sl4+gHUkbNBWtagmlxw1mq8s7XUTl/w3mskeFnY7UYGH1Ra4Hrw0JrYjVfEGInOkpYTzi6Mo/D3fvBDJjvD+jXLMlNq4tXLN4o+bL2R1WVnjYZzBte7y1szYQvYNdbgRLFnMT6yo0WeTEY3DX5/Nn7TVH3RS/fPHehIVVjXzPm8MM8Lt6eZLBEbHc1E3aeKEINlFEt0ARcdpU+FTdBmnO0ygtpW1VBjSbWQU8E7T5UERJwL6oshM40eH3QyAYXxZkcwnrlU5vUMIbAfB96+/Y7dXg+ONa80KSxLJgSPs0JDD3PvNRH6e7T+sQFw+X8ixDiQJXWZhBbJL673nF4mvn6AOa/48D1lqoNpnHh3dwvGcHV1pVjHOGD2gbwutHruJJXEVYz8zqdvqLXyy5//4sNf8wOvvyFFsmq3pInqlXqXytrOlVLq7Pf/3eAx2I6+0cVkcgPGK51AqvItPcI0BKgahYg1pP4wi5h++iuIVTeukYqgOueGJXazn94OjSEGTINznqmmkLr2a11XTIiEQYv008ODLj6+o9f6Q+KCp/ZUpq1gFTGXzPuLO1QEnG5mb9++5fa7d7y8umY5n1lOjRiEsG3epfKrX/+CYX/g5uZGI3Gr5bz0qOr2aLTZbubLInnRF7Z+c3cpijFdb7R1xtSdX3rHf+Of6uauXa9Lcjfvd95AOxzbAnMhYWC4v7/nl19+zWeff8wQD+wcPMyJ85qoxiJOR8fjtCP6wLNnzzCxIg9n1pRpuWkHq1bEQByjft42IFIpOIx3iFP4fermua3gWXLFm0ATx+76Oad5Ji8DrYI4TW0yZsSJw3Rc01PznYkeSkEqmpxljOpAjaLQfO8+jPK4UF4WEqNd+G0j2q6PdVvXFsA83g+Xz/X7I9vXXC6bWzPvyzu02KmP3UusatLQFtBGWtDv4zrRYpscVKSVXlzohrbkwlorV+PQk6hG2vFb7aBWtGOKkHpIUMDhjMeIB6saOx881Ed+tEXvJUfV+OrgMN9D7rFOf0bbaQjhsMNSefbiOUbgn/7T/15lLE2LoGF0vYMmlJSwTkH81TnKk8+3SdODj+ER41g2o1vvjMXI1dUVNnjCOOjmbYQNYyei5h8rHbYkj13hbYrytNuivxa9aOg0a+ufq5xXkwm3Q/N+d60BRH5UqoS1ivGyGlYiRqVWrUHJXH52RWQ9YhI3k+bv/f4/YD4faSWrhCav7PZ6KLPGYmnQCrV1B79xYFqfyCnLeVPHidG13LnQGcO6xtVaqT1m9+l6tB0UNKGrcT6fmeeZ4zxTmgWjSLaWVvKS8W6HNZ41G6ZhR2l35KKG6P31DVYaa1lpDXyMxGBpTbX1pVWMhYKhpLNKK7ob3jbl35Irw2h759ThvMeLo2SDCXp/pqQdUR8GDOBFn/+6rfVI18sqxsyKEJyhlEzoRU1pleiiYtHoa2drpLKg/YoBMRr9XGph6J1GoWtOvddpX1EOLkbIWxcTLWCDDRjqpSGy3Qfb+lG6cR5jqEblDa5z1Cuisgpr8K1iaUp+Kk337Z7sCTw2EGy8rPlP1xw6FWWLnVYcitGUVOegGWrTlMYmhtLlJhpL/xw3BGzUPb/VQiuN1CpBKqO3OF8ZfONmL7y83rHczyzryuh3hDjSbA9Y+Z4QJt0LrSboPZkWighlOxjH8sh6jk+8NlvToz/f2/7ymzKLp/d9SulCItoM3SEE1gxGdALTsMxVIQKlVGJT+d45rSrj0RkNQ9f6rrVRTdEDEyDe9qaVrg256ppvxVz2IWoGCrFEvDcMPpCtwwbHOI6sS2JdMuOVIvSQTQNctaklOoV3dkuDfewkP03lfK8h8lSeI/3zolKlEIeIiSN+9+FFvxlF5m3ZDlnRNZznI0jGOhhGBTPE8YpgFCkbKDwf/5Zpkp1xRD9SRC+sQdl+pQm2c4nj92eJIOaZXgSrF8Z67ZSc0cjKIXZmYFrY+YaLMOwPFBy5Fzq56ni19MXZDxZrA2lZaNLYR4stOuayVbiervj45Rvk7pa/uL0Hqez3e46nwt3xaz773HNa71Wkbjz7ceLZeNU1Wtol0JFEA+c514W0rLx5+YYQIsu8YoBcChVhbMLN4RVffPkl795+xWAs+/2Bt998yy4XRu948fwVpTQ4rbz9yS/45DDx2cuJf/bPv+Z6uqL5kRo985oJBvzwmAq0dfCc6PiuSUZEO4+YyqDSbCwablJzZQjDZTTsTMfsSML1jnI6a+fNd71567KNKv1aDTtscNQucdiPV3z59Tv+2z/6X4heofq7MSAFYgRjdmQMEj0yOmSEnYvUmMhrono4Lw8si3Zt7X7Eecdf/eprTBNu9juGYnF+UlfxwwN3+Y4fvP6cr9/e4+qB2hqffPpD1lYwLbJawUSPq4rK2sb5G7Lr+HCmFu2spbL0zcB1fKXl04/f6H1xPHI6nQjBMplRDxtGsWe1OAyOlBcKitbzznCXHmAGZx3OPHZpCCPW6UGgNvlevX4uALrxjYMi/UpJDM4gaHKTC0OXMxRS0/GeagIbYQyXQtJ7jw9dg5cXnBLHWWwjSWZwAWcty1qo3jI3g/UHng2Qz0dcaz06de6Hv4DYRjAD9nyL9XqgoamlyzQDQQNrokgPb4FzOn7wvfpSsMZT50LAshTten71i19hMZii40FnLbvOzd3tduSaKE6QCqUaoh2xc0ZcZBx2SpfBqtG0R+aea9bxdWcdv/rkI374+W9RvQOvODRD0KCQpghKU1SCsPGQ6zYhs6pvD3a7PuVSvITcnevi1EzJStwN3C8nBmf57vYt53Xh+ubAec0cnr0htcJ9XrFDIJSKb+CyPMalu9q7jfpzBGMwNuDdyN35gf/0P/hD/uv/6p9wd/tT4uBZ1weVHdjHYJAhdDlJL4qs1VSz7VWlYpqlNXDdOLSkouZlo4bTJa3QEus69wh31T4OdofzjrfHbzgvieN9Zj0bTqvh1MDu9ozWcy2O29vveHc8cfXyFZKEJZ3x7EmzRtaO0feAIx4nYtZAZwDblmmi3cRxp3HKET3UGtGgFUV5HilG2dmGAWuVLFJblwgVDecJVid0C+C8w9oBmnaKLRUValhcs6R8VlO2CdrRrZk4OKSoWbogLEaYOy95t4ud/hJZEdYW8MniXR9jp4RthlRXwtSZCtZgU0Ws/hk/jpSaSMusn4V3hCFirBrmyqli7Ez0Hu8mjBhui/oRxhgoaWWaJsI0kpcZWsHQyFJYVgHy5T7LHU26pehtTRGAWvSQEDqVALFkk6lZx/shRFI+k6rFeD3suWnPbn9FbpacKiHNqh22Ay7sIRUelgXXIvvR8+Jm4tqf+Is/+7+5Oez5wz/8fYwvpL5mBxq7/ZVKFltQolaHv/us2t8W0C5/b+ocj0dqOvWUQksYJqwbsUy0ooU/Viko4jrxBe1E59o6Bz5dpDTbJOr+3T2H/UQpjloghh3PpkgYDHMV1rSAbxwYOtvYa2OqWF5cPedwtaPkhePdPflccDZyNmdKE7wLeB+pYhid1cMqW/Eu4AJpTTgDOEhSOX4x0+o906CNsGE+UUvm6uVznr98wfndr4hDpBmddtUiZCo+WMYQVH6UE1jV7etEpE94RWhFJUDRe6QILkZaW7DSGIPDOqHZyillUqmM1gLvSzZBqR3GGHZj7BOOquzp/XPm5YEmCYwhZU19NaWxzonSMuFw/cF95IN7y7/1n/x3+ep6RazVuNIebAGqbbLWfl/yLkDXCqpcoRlVvhEc0Zo+3rIE5zhcjZiiF8MFTy3vd1XVZQ6gufQG5Tc3VJdcW6NkHcMerq80ung54oJVwoI00po5nc4cz7Om23gHzlxMKKp9ekxpq0UQKZeR/W/qhDddtsNwPh6hNqRUfv3LX3J9dcO6Zg67gDRLa/ZSMOWcCWbHNIzsx0njjnXXUloCj1SEp2OQbSEzne+oeqyG2bpcbmsRaSehdb220bxqwpMUru39bqli+t/a/aCC1ErA9yGuAAAgAElEQVSqBd/1cI8nbE0+S6Vx/yAM1jNEh7ON2+PCtCv83R/9CI/w9dsvWOYTduMRm/eRM8455mUhr0Vh9+vMEA0pJ6xXLdW721u+e/eOFy/eAHBaVo6nE7lj81rdNL1qnGryqD97KpkY/djfw6OR8dtvv+3kAC6fS9kwRq4n9hnV+x0OB1ItnM7ny2c1dNzPh2LZt/tnkyT95ksnBxbhsZuh3fsEdFC/U4KFM2rEMX2xNFY7hLYvqk0MJRVKVY2tsQa8JziryWlV9ajaIdf36LxhbwJu3NHmM6miplhp/f7SsWCtgkPHgWItwWr0mAsWUzVSvkqDBrl++L3GUZFFS1oZppG0ZHLWVDMx4EQPBspjLxfhpFhlfjfNQ2EcduCUfnBeZi2qOkv39vZbxnFk2k2aciV6eHjx6hXDNOphPkYOh0M32vVunQDOYepfd6Bo0azBHj0QXTXv1jwejExPsNykGKhv4d27O7Ko6bigB644jiw97WvrdG9/7+nvbaPk6DyCY55PtFb4/Mc/YjPQWdsd+s7rtXiiuRTz/td/+rW3e/LC6JaC7yPsp1OP7b6+6DaNx/pOt0iZ88ORd+/e8XB/1JtSRFFtuRKCI5r+PpoGgDhj1eiz0UBqxYjy4KUZSj5huh5z839479V3cnkPup+0WikFRcX1A0IpRfcAaRjx/VoZ4jDijJCevJen6/g0DBgRQpdjtJRxWHw/XDg70Jq/dGCtcxo6JYqxVGlaRcra15pAafTnjUvDRZpBTL1MInRtlovnQQ8otjcr+j2XK2HU5zh7pd5UI7SmmnDnHM4oc12cIziV29RakVqoNHz3HehaqGbNEMx7n+u2RuqaVC73x/YyzlKSJjBa0TCTvCwoR07juq2xjxMx9Pu0VqgCwTgNgemTHm8mvLdc39zwg0/fEKPn29vvKE7xdBuFwvtIW+sTTa0gRk21tQreR5Zl6fII6amgW0dUPRR5XR+LwSf3t/766dTvcR7+dHpba1WGdTe5zWtmXmBpQpJtwvTYjW5dCllqJkTHfDpTqk5LxPXAkuCwIqTaqFIZhoGU1vcDafrXmaIylcUqx1zTXBXBaYyi/NaWcN5Sa75IJtd1ZtptU+8u5+LRqHiRnjzpKL/n4elo0cdab+s668S7lEZOFWczHyqSDZoq6IxaUTU7wLLU0n1tXg8tW3JrcBRBpwjm+z1uv/n6G1EkC5CMIE7HilWamlVEF1tr7WU8+cG/34XsYrw+pNaT/QpGx991SeACp54gIrUSSIhUzmc9zRkXsLb1cbdRvReq/7MN1nXBDBMZYbja8+zVS+6XM3dlZiEzRcvoHbUu/OjHf5dXn3xE+uYrvei50bLjfJo7JiZolLn3pJRITbvXqjmNj5tN1ShjXRgC57sjL29e4MTyp//iz5jvZ46pMb1+qfpdFqxxXF0/IyWIxvH6+Que7RZWqZSqhY0zwDZa669tlOysPtjGPDmViMP2k/El3cY4lmq4mN6yfla9OX0xhlhru2GwUXv6jxaZlZIytWZ2Y8Rbx+nCWA6kasjW8bAW6umekle8Nfz5T7/g+voL/vRnb/n4o9f87mevmGthPc/ECDHuMX7iYV744svvEGM4N8PDacHFkZxm/uG//3sYEb768mtO68JP337Nbcqstw+UUviT/+a/4/64cPv/Uvdmv5Jl15nfb+3hDBFxh5xqZJGURKklCmqpNRhtteEBbb8YhuEXPxn+Q/1owIYBd6OtdpOiSJHiVFmVlZn35h0i4pyzRz+sfeLeIrOMfmQfIkHyZmTciDPsvda3vuFmobimqlY5nf6nFkJs589oUSPWPCpodUM1xhBz5eZuTwiBcRzV5ieHtsBHbQiSQcSSmnuEdbqhjN2ZFiQhnAoK65wi/lYlfibLKQ3wNw9jaTxIi20pXMrP0tAY7y3OCktdMBGMd2pT1/JxKwbXachEbIlfYp3SlSrEVCkiOn1oaW39MOr9JZZ9gcGMXJ69wHZ3SInEuz1UDUMQSThTGM8udRRvGtXD6WeNUqA6jGubrRfq9P4l69XNlW7oQ0cKM/NBhRklZaSqS4u1lqWGhl4p1SeVyOgH9e4Vo3SpsHBIC77r2O/3fPytTzHOcrCBOReMNfTDGZuqXM9vf/c7dP3Ik2fPOLu4aEiwCnxNE3x6p2LIr29068ZQdbJQtUiwVlHYYpqXekOPjBVMqfT9yNX+yD99/pKv9jPD9iNGJ8wp4kI5vb8V5TFT6sm/VUTPcW2hJX7wTIuGUDgjfPrxC425XhacrQy2U6pGTppkd4oWF7ruQZ2+Nvkigk2tuUTFjo8bybU4TylRcm3uLOpB671nXha8cVhxvLu64d/8279jf7+QuxdUkzTQBhh7w+gyMRqOywE/bCgJShNS61Srqr2a6el7xzTda6LY4NRPt3p63+NLwaJCMus6pEASKDkRBUpuATm1CSmtZSemCYYaIpYLw6Y/aT1EUDF1KXTo5xg6LYxzV9gv7Tpl5UobHClP6j9dIYuKak3WmQ2t6Mg5ayiJ5eRuU0rBiKXzQxunmyZCE+geYunnwx6RynZ7hkmJeJwhqmDLIJy5nkoik0kxq2DZZoqITlziwiEvDGvwDaoVkOZcsX73tQDrh40W6zmd3GFMa7ZyTqSia6S3Fuc76nyP80KuCkR9+OGGEBP7/UyYY5ssK7dfGvXPOHDWYIsKJsNhIRHo8sJ9947f/+QFqUb+z//r/+B2f0s/7Pj2t7+reQZFlB7ISkWTFvrRgIu2b03TRIxRHajwmFxVCGrVjUdqwaCBGVILJeUTL780H9paV963pVaN7173iMtnT7k823FzG8nlnpTU6jGgeQ7dsMEYGMpD0BBFBZc1RY5hYU5ar8Sa257cQKNSWGLkcJjZduaUfbAWsTks5N5ScmWedMLQUbRJc1tyMRjXI97z5tVXnI+OF+eDFstjT82p0cdExcBiqLU0Sk/VVFtjWgKgafTVQsmRnISUPF7Wz6M1gzMeb3qkZpxRO8X3Hb5Rc12bYhlApBJqZqFgMIQ5EOLCmZxjjOF6f4v0nmrie9/zfcfvRJFME7BVUc7d4PxpES+loRHumzkkptnTWGsf8sKta3J6C1YLhXme6Xv1Qay14lp4BygaAxpyUKtQo26y1hiqaeKbxi1cow2fPHlCbyL/9JMfkkrBLYUcM5985zMunj3l9XSv/MqoI6sQEt5Xxo0aeldrSHMmZlWPetudRARZd1T9fsZoAqG1RHXs5uziCWDo8qyE+YqO/6zyEItoWtGqyjfGcBLuCiBy8thdHxj1aV1RnUcxn1X5YrU+6oTRnznzgBznqjSB9T1PPOdWGANQlQdFE6d5syaNaUOQS1FrI+mgiSeHswuW6YCIMN0G7o+ZV2/2HKbEdHuL5Mj5bsOwcZwZD1WFn9f3t+RUubk/qCDLdBgSm4vnPHvyhLtj4f7qLV9d33F9fYuRwJICV1dXjSt+hmR0MwDEVk2FrBVJK3fenDavEPLX7O1AMFaV3GKNRooW5deqq4SQSyYpcRQvIE6LpZQqMc1YZx7Qv5W3mXJLhlS0H3n/mEWLrgf3liq1Ie3al1dpKGbNiOgzVmqLnLaiKWo8BJ+sKISV9l2kBZkIpBxOgiuh4ntDngP3c9KAkpjwVIbtBTVFYt5jpGBNwjpFYZNUyCowrKZgsuhIwzSXGSNY9w3f1TpK0yakVE5jxYfEKdtcSVC40GhzXcURUqGziijmWqmdMAxbPv3sWzohGEe6ruPJt56zv7vn1z/9Jw73Ex+cP2FzcYZ4d+IjO+fUesmITn3Mg3rcmgeOo6z0hZx1YtWaVOXkaXOTV1FfKUjK6tnbOKeH/cTV7R3Gn4E4jDOYWAjLgmv/Ths65cWWR5oOqfUk2EqrPWOMhDDT954lHB7WhJVz38IW1oJCHqHIjyc30taVB0KJrhaPOZtr0Vbyqrkwp2lbNfqZLernfTxOhEwDPzwpq39ySRMWdD2eArXZr7lhbOLh9Rt7KI0m5nqMrXgH0QpkjZmmakAIJZFjK+iNUEomx0LXO+X1F3W+yArfajFgmnsNhRCWJpJNp+9ZSsHqABonjmJAjD5LNavrSSxLK7qMXuOY1OmiU1vSnDVYC4FUla5Hc8nQSURVG7g06bd2llwqptF9SlmRcXVRSC1+3QCUSkyBWitn4wCoO0+kavhMa4RqSWCUhpJaw6wAiFXwI9VWsD/6k7Jel0fajZoLubn9UL+uhfGdBumEEKihniYC3lvdW3CEvFAqpKRXt7NyKrRViCaUVHh3fct3PtuwPbvg7uYNb9++5fzJU/pubMWjvs56RyhRN7ZHjhQpFRKaOidiGceOvh+REsEKNWqoWJLM0HV6x5WkdEdQBLPWkyB/dQWSogi4Xkc9j5dPtnqtJBJyIaZCrJY5asNipBXgjyZRVdS1IrZ6RVYqIGC9OVGMeutwxhLros/ko+knqKd2RZH8NXXTRD0Vvd2Q44yXAe80uMN75Q/P0wENBgMpTYRThbo6VegGdNLbaD2n9d3jP7qvPCDPK7jmvdXG1XDid//WUdS54sQXb+h8Lgo65dWzG09uU5VceEhm/o88fieK5HWUZYyhd14X+WYTk7MuOBpo8f6j69qGKLaJFhxSFtKckWrohi0JoU+Jki0ihrG3mLxwF5S7iFLBGkK4mu0L8zLrQmc0DUhiZj7u+fLXn/Puq+d88OIZ3/uD7/Pmyy/ojKe/GLh4vuPp8zPG1458N5HrjJWO43EmRse42yDecnu4p+wn9tORvh852+2w1jNNd3RisUajQ/3QI85DNZqe4xx0TsdGtpJz5G6/p9ieftjgL3b43cibuxuubm8wvafmhBWnXNkCfdcTjfKOjRGcs1qYhbmJJrs2JlEv1NgQuPVmxgh9sxSSUvVhbiOwx+KbnDPV+9Y9tpFsKZRS6Zx2mIgqi33fkYqitqZoyETnDNhE50eqWMbd2DydB969O3B7fYtzhiVfkwuMLFSjiWKHJRBjxDlVwL9++yVC4vr+f2PovKaQ5UzBEHNWdMlA311oqGXjZ6vna7MAqoVcC844RfhdK75iJqV4WvSBNrbWc7Hdnp3u8xhWNM6BWKzr9aFOkRxUOGpNR86Qo3LiFLnNWAspBcQ45e1HQ07v9w6utaBBOk0kGHVlMk2BXEjEJVJywg4bxBtqSrhakZzprC6qiaTe9CTysjCXqulZXvnpanyliMz+qM/LdrvlyQaKOI4hY3KHKYmzp08Qqez8cyAR4wEbtYnoLJiSiOgzP6ROF9ISyTUTktq0ve+wu41SayZNLRxFN+ciBdtpBHYsEVyPSCU3OzsxVac8pbDMR8azDd//iz/nD7/7Pc4vLzg/P+fm/g5EcKNnO6iP9d27G958+Uo3JmvotiN9358oFxYdfXpnsVRyi+uGhz6VdYGn6ui6FTKKyCpP0ntPJ4oG264jh4jFMc+BIp5heML+Xu0fe+fw1bA0b9NVFESpip40BEqqJjUaYzWF0g+8vb7i29/+iBfPn/Dm6ldNo+CB3OgNDvNoVJuLChrXYmn9+UqNE3FoLLsWmytyvhZMy7IQl0X5pX4Vk1qG0YNULrcXXGzO6cczxt3AdRCsb9aK1SC5Y5kjacnIkpinBbPtwBu241Ybw6Tx8SVlwnJARPl4y5SR6jC1UGOj+4hBKIRFdQXeaqSxNVbX7eZjuzs7I1OZ7+4VPbeemIu6WqANUd8sAFcK2WE+AhpLTVFrRmcdViqlZrzV+7QU6HuPeMecowZ+uIobOrLAHBbEJIaxRes2rUKtyqnXYlp951PW4pwshHmmc45BLJSM3N/jlMeo16QJ8o7HgwJKnSFiSFRMyMr9rRkrlVoipVqW1XJtbbRPNlz9SfsQHlnL1VJOPszZWAwFaZSLOWf6BOe7gXk+IjFSSmZqnHzfdfQ+kXOicxZnHL54clGhWakzc7UKrtgK9FSEt2+PSP4FY1f5l3/73+Dcli+++CnTYabWdzy1jmdnF8TjTC5Fw3+cp8yRaVm4m7WRfPLkSdsLDcYPmKT0ShX6L+SYTk3gyjdeh3trkbzuCUtYTt7Ru92OYRgYNj1LCExLICwFYztyEeKiKYU+GrIB19Z5NeMyGOc4lKN6+bsNVJCyqPUZKLKbZpwY+s6Q+LqrkYg2K8VbaLShscBQ1Va284GBiEggpoCz38Jbw3F/S0zqs1yksnqvl6LF/+AHnfzXCrXgGnBi2iQWKiVFihGiPCRw0grk3bZjGAy5HilFmOcj8OK31vyUIQuYrLTP2AAWSYbeGMT0qHOZ6ttqzZztNpRasf03KMDfc/xOFMlmVf9bp4tTiLhu5bo8ijT8hqOaekK91k1n0/ccl1kX1IaADF3PnDRkZLcZqAvcLeG3kBGdczVuoEQdsTmHKx7MwG2YuHrzlr/7d/8Pn3z0IZteUetqrS5O1mA7R9d5nLMNPdAHRouyetrAaoyEEHhycclm3J2+g3LSmtVYSpSWhvPB82f0h4Gf/+IlIWWcFfUprKuPscUNI/0wEvdXLI17a6k4jPpIJzVkxzyMf9fvrpuVOaGPeU1Qs+v5UTdpfW3Grg4EBrxVgdH6AK7IY2z8v3WTXvnZJdHy51sH37pjKQVbweKwRohS0EANg/XKB5UsbMcdzmSOy8wcI6brOU4HbXIGRzE91VpCUPGbWIOVji9eveHJ+bmOJUshZUVdfLcDSWAiMS1YMt4OjTes/pipZFbz9scjc2tV4b9OP0CbD9+ruDGvY7LWYGjyYW6Fk/IknXPEqmM4rFVE1D8UFo9jitUbvG1Q33CIqdS88gQtIrrpxDDpQs4DhzLWglkRn/az0r5b5x8cMULIGO+RksmNJiC1khr/NDc+tlhDDQHX92RTEbRRevnVa3xnuTgf8VaYl8jzcasotlHkJafm9tEmGlYcqQq5ceTed+RSsM5xcXGhjVHJ5JZe573aNeVawKp/qMYPVcSaFtlcqc7w4qMP+av/7G94sr1AnOXm5oaLy0ustRzCkRACpu+5fPYU53Rs//rq7ckubOUvd73HYjX6uxYtkutvQyKPLREfx3+vz5BzThHIpBOsHDNd4+27rmM6TORo1XlmRWjWKQ6o/uE9v9O2Z7yEcPq83/3ud9nv71it4Wp1p883zwvDMLR1+IGb/HhdXhEd6xzVqKBUxJ7W1sevK0WbZr2fHd73iAjHvNA5y9nZGefn5+0+BQ3G0WuZQsQUaeuQpXdCaohvKglpPOLc7u+ud8S4nNb2WtTmK6cjKVkVV9YWJmUfNA3rs2Y7Tzzs27QokGqhkDEipFIoKUEVNn7ztWt3eg5XlGx1LVpUqOjdg8OEkcoUE37c4MSQljZyn4748zMuLs+xB0OZj9o05xa7G9ZzWRnHUZHkkimNTmSdQ81UlcpYamXrm4du1clYEd3vDnFGRNfdpRZKrQxZ7RutqH1dNQYxliUGCmCsOi/II1RYhXtq77mig+vPHp8XeODGbryhc56F0uLXhSlkRIoGFvU9IczElMBo0E+phoyuNYfjgvM9vkVWu2Fg13e8fftrnj/ZcDzM/P2PfsBuFPrNqGtic4/RfUobPu8tORZKUqHhGipzejbrgxuQeoJXlkcWp4g5eSQ/vv7r9y4lfy1gZRgGQggcDgeOh8C8FtHVqttOqYiz2PLwfOmgSPcS4zT5krYX5BApqfL06SXeOnKYiEughAW/PT9pU07riwjSdxTUI91jEL+Q8oTPBmsLTjJp2eP9753qFqkKvAxNLLbSYaU8cI7Xe7sUDVNa//djTrJxj/IaTtNn3VesKOVMvoE/nKtgMorsi6E09N6vE09rH4J2LJArnXcq3PtPjpMsFXFCypEltlCRtpH3Vm9K4vs3R4Bd9eRaCaWJj3zh/rBQjBrop0WJ+slVfGexFvZLohRPZ0dSycxToqBdfgGkCCZXvB/pBY6HA3N9i7MDXddzWBZ+8I9X/P1PrtiNA9/99jM2F5YvX73j3//4hr8YPubp2VNsrnx1eyA5j9s6Ra6Exr2BbhgRLGUp3NYD50+ekqOO5QwVEyNiYDtsSTWT4sLHH3/MH/zxxD/86CfY0uPOP8QujndL5D7fclWFJX7FD378c45LobJhKY5VSOCcJ0sbZUvBWUdphuUy9s3XNeBbx1+y8jptVcGdadzKajSud314c874oRXfmEY1AAgYa5CqrgLGPVzLKkJ6ROZ3piOnjB8GQmm8umzJSe3ocppVcestUxPEWesZe+UjdZcfAxCLCkt8pz7HVQCrQszePmVKC0NzVNh0TQSHouU1Z7VLasXN+jlBEUD17Q0qrKrKT/PW0I8jc2gWQSLUmlSEKipKSqmND3vXuIV6Hjpf8V5N/MmOmg1LASMqPAtJVfmlisbiCkxZEQUrBtz7n41U3cnbVjcqYV4CtY1NdHHSIoUKcV6RcFULz23K4tZ0LxG6YaDr1B1gDpGQdPLSO538OKeFS5z2dMYiy0S/NnvGkGzPnDPHq6NuMjXz1Zsr+t4z9BowMfZaqHTjQLXgvMEbw+h1Q37f8dEn3wbgcJjwttK5teFtlCMKXoSM5+44c3+EGCtxSty8e81f/vkf8cf/7Ht8/8/+iGF3rvaAYWHwjrIcKcCA8i0PxztEBN8PnF9s2F58TxGvXjnpXae8WFCbQZGKkKmZZs1mmoYCFP7RsaFpoQxVKiUFNv2IrZYpa3CPq4ArzNM7rt68pgbHrj/jQCYhhKp2e50x0LiqFG1gvHfEdj0Tmih3OBwYOs/+7h1//Vd/yt/+q78iysLoO7rLM0oM1BxZlgDVkGyh6waNThfBDluMtRjp1BYuV8iVvDKgG2/e+w4nXeMee1IskJXGs9lsGnKuz8nOa6Ry54U/+t7v8eHzM375yy9ZyhmlDBinns0Uj9DTDWCGAEskhj3xaLmdwfoO78BLZQr5VMRU2trrDFUGQk6aVDfvsday9QNSMvN0pBiIneCqO00rp6C6ibE/U2AiTdrdV8vhqDHmVYS6qF7BGEOO+UTTWgsGB6iLVmUfaOmMlulOecniKs4kQixcvfmKb336jOl2z7kI8+EevCaGWafFXpXCsX22EIK6b8SZJVV6r6h5XtRz+UDSKHDVWpPiOsUolKijaDFOx/lULSoaeFJSIKUF34/kWpiiOgj4rM/llI+INYzjiLERKMxBhciuBXf10kPVqG9vdW1Z5msWO2JzJhZNQoyNMuXSQm8DUgP5ECi9MLmHhlK50IYSD9ROQ6i8G7g1E9/5vc/wJvIPP/sxX719w513UBc2mwHXQXGJfrtDUqFGFZ0uy0IKgae7gVgyV29eUWtlGD8jkSHrJEaMUZu96poNnydWQ8oFIyPGQGFdf3tKrtwdbzgcDlyc76hkYpq00c3wi8+/4Jdf3fDl/RHMBRXf9hGlDyWnlqKSNWeh1ArG42rBlAVvHa5NWkUqfWcpeJwzhOwYRo8LkZoLtrcUrzqCTkaImRKv8HZh23WMz89PEfHjVjnInzzZMJjCsWp4zmhNE8AVSlFapXWOKQY24wgIJWuRKk6wWKy3J5/+VBM9hRyjThvigvGRfvANMBKq9KqRec+R64aUMq5RGVN2GOMYbGIKC3OMSo0CKAZjVPOVlspx+k+Mk7w2EusYv9ZmsG0t1nen7vQbD2OgIVk0fig5U6om9SAFqfbEAdKCTukds0DB6M2P8julKjeSlXPakIlGpT0p3nX8tWG5m7k4RJZ0zxcvr7Ddl/z+732HJ88+xFrh3dtrYgr4bkPJUYUpVgUZS1qa3V1mvr0lVZAwM/Q6JkcK4ixLVE9P340Y58lJyFXdLHZPnvDq7Tu+evuOmBP3v3zNHBbmYqi1U36ae+C0njpSqxv1kiIpBTqro3No3MG1IRaNj66ycpzBGEtqnLFVmWuMwUTHQ+RsQ8gka0HUopyte1DCP1bIP/6jxUanFmRm5RM92AmtHLcVpVkt2axpf58qg1fjc4J+0kzGmUrvDTVXOqMkeCvNpSMnBXqNP41rU31Aald0To+CiMF3a+R2oNb+hJa4lmbVuoSv3b9rwlWp69+pDZU6UQDWnFCfHHVMbxq3eG10dCJRlI//G+jMeqTqkKqLwWPUuzYkUNF5/be5FNY0NL1HhNQ685iLehW3a2WzCtP0Oihy3vf9o2e5IXaZU0BJmz9QnX7fKhqZWgogPVMUYqmUVLi/T3Rdx928b2dar/tmN+J4/5js3az39GFSR4Z8aM1KE47logXu/VI5LIFcHWFJkCpLSNAN7C4vqbWyHA6MXU9KAVOhazy83ntijKSqCJotyvsd1tTOGLAidKaNMUuilqB6CWdO9AMR0U6n1hPHuqw85Ri1CM1O+Y01E2KilEi/02I0FnXxWPUL0pDh0xRjHfVWHcuy+s+iCZPwMBY/HicOhwP//M/+hE8/fcH11a9xRhunVCKIhoRY0Xsxna6uNiAgjS6lk5N1AnHCLo2wuknovdc+m3mIpl3dI7SQFSqqT3AedrsBsYm8KN9WGj3LeIfNAqbSGU+pmTInbC3k+YipibHf4W3Ftet3igwmnniUUrSgoH1m1zjrAhAzOURijo/cPNTCyo0DsY3ZnXWUAktS6oiYFtBTWoKj0QJhmdQlwdvmDb5y0EshZ4PIBmppZ07PZd977u4P/OA//JBSM2e7c93om8tLQT3ta9L1IOTSYD31h14bg1yUd11L5dD+raSVl9wS+sQyhYVCozeWQjRFi/BaGz+6UFJh2KhtZZ5nvdYNmbPVYIq6E4iTr31H7Q0F7yqIOs3QxvBQOM6HNoVyGGvoklLGJDkKhpILc1jU1pX+9CwpnhuJpcJS1aveRtzG8ezZC0yeuL2+0inTvGd/d9Ck1xwhRmJKOqWUFqM9L8SwcHZ2xs2rV5pC570KKh+lVKqdWUZOExUFIqBNdfRFIJVcEimuU8/ANmfmMJFrooSZVCz3U2CaI6FUbAv0kuZlLIhS/FanjR8AACAASURBVBryXppwsEdF414s3lpMbg1zTtgQkFy0aTVCTBM5JrVJsw5jKmmOCBlH5Xxr2A49o4+MfWYcVeQ/TVccDgf2+Za471lKoBsHwJ3kMBl1RilJi3DZbFj1M6UUpCg6bAwn+sljB6DHVE4j6qvedQOFjjm8v6AVVym5kmpoa3xr1EogNsSeFh0ej0GpOCJI5whxee97vu/4nSiSRdTGw9g25k+ZkvVBa2avurB802F0pNg5r2T6lDB+IKSEtU7HrCzk3KQc3jIM/YmzWAQtNKrGqOqHUlQxhEBxBtN5clULLJxl6LdAIpUdJUV++vkbui6QF8u//bu/55cvX/G3/+qfc/lkS3fxAaM19GbD7bsrPv/qSlXXJLpuw9205/LJE7Is3N4Hzs/PYRyAQjaF6jdEt0VM5aefX/Pm3/+MH/zwp0zHhbvjkcWMvH7zjreLcJzgsFT6/oxht2UKESM9toTT6VpHR9W0UVMTLUQKy6xjYWdW1a4014HWNYrys/u+57iGYaCJbRmYZkfOVV9n0SLUWuUrpXUzeijE4euFckyJ7XbL3d1dW/yUL1caH8tXLUic0QSs1YR8NX4vTWBmqvKu+75n6AvHOGnTgxD391xudko9KKXFsVZMaptphFp0o/QtVkwpVkqD0YJ3/czK2bNWfVTHYdvOrTRu44p2VFILob94+oScM/f3t3qu+2Z/F9SXM7Xvar1XHvGJ3mJ0CpCjWneJwVB1sX/PEWKl5wHpX481+tm1Zq2UggNWkV8pqNDHmlNxIbIqlkFi0PvGOI0ptUDVsklfq9d0mcOpOFuLJLfdrJ+ivXckO2GeZ4z1dOOGsCwsUjkmD0aYpok5BMIXe87s7r3f9X//Nz8i58rQLLO23YZSV2W1pZSkDcz2glw3WO+Yw56nTzt+78Wn/OXf/CUfPD1n0/VqP0dl03fKoQxabKRJw8Yvd2eItRznhTDNmFJP40TnFHnWgmx9fqoq8dBIail6fwjNclEE03tsqeyvb5gOB8b+HGt6oo0gls737A/32nTf3PMPP/kZSwDnKnOMDRBooqCkG85KYagSOByaNy7qz+p9IOfK9du3/OW/+D5/+sffYbm/wtVInKNaYJaM7zp1H6hFx90lKG+YSsozpSqvW2gOKs3OkIYaW2spVcObXErkFFnCQszp5ENcGl/VmDVtrTCniHWeP/iDz6gU7K8m5mi4n+/IRV0ujJWTAHgzjNSc2J5bQlggH3CpsOm3uL5vzb0iY77RHo7hqF7XzTfcGkPJypvdbUbEOgJFp1K1UluIjAVu373Wjdx5ctA1cxyG9nyp40XzStKI4VwYfAe+U5DEJGLJ4NaiSydGhqiJmxiMWM6fbDl/umO/V5rF4XCg64TSEvmM2BZprNzLeZ5UUO0cUrMWUUWpIbb5EsdGB7BFxdaddVgxbLyul3NSkZ61liyGkhIxFaxRpNB6z9JCT3rnSTlS3Wr/l9QyM0eWxim29iGdbl3nDYIVdRSpUvGuI7HgBmHwWmymaU1kTKSpkiucn6mfdQzz19a1VFfnh4TLEFLibQr8MEcGL8zHTDbCkgSMYxg1sfZ4PNJtNwxeo8tDCNzd3LJMB16+fAmgITHWYKrh4uNnONupjWUozId7etfEi2R8N2Bd1xqAgm3X6LCfOB4npmMgpcI8zzgL1gl9EA7RsJ8KSxE2uy0Gw1A65TTbirUGqUKVSuqV/mEQ7OrPbDXhdk3yM50npkJNCbFCFmF6lzjvzpCuY9kv+EGY796wuxg53zo+uMh0NtCZd9SUmV8HpEKaF+qy8OaVcHvY8+zTT3j+0ccku6Oac6KpbQ9VHr955O50ErDm3MJFHtxw9L/ba2rGiqHvO7Y7TdJd5gjWPIghf+OoroItDWgwxKPSWOYmIrddr99jSXp9RdgfD8w1I/1vW8p90/G7USSjGwdVeYXFGGqzEyotpve3mXWP36CcRphrUeZWdM1okt/qW6s/MqfcencMZKnKr1R7ROW1GM29T0Vtdh7zdWNZbwBLWHS0EFp4wTiOFLF8+eaK//vf/ZDzix39YNhut3z6wnM/J0I0eAe78Zzx8py3dzOvrm5JsTBNM1E8UTq2Y8/zD56x222JAd5cvebvf/wT7u4nrg8ZYeAYF37x8g3LHIkykmxHNxiMtxzmiRgz5xdbwuHwoD53TUleqpqmnwpZVW8bhFgrtqGOehPLicdIO0cG1E0ETl6HVN0ktLBrAh554Ak+pmas6O/jn608x/Xnes7VB1uKBnBodPIqAtTfa52lUpvo0FCtbmqJQGmUHWfVBaVYjccNWZXisU0VctVivmblqxrkxLVai+QHzqjeC2tBohY3mnSl479EKZx8o9dzBhCb6vbDjz9CRHj79jVLCBj8w+9oo1rlH36dN26MUSs2Y5UbVr+BilSzhnD85hTGajtf2rhfrIZ2aCFrVWRhKt4IpZ0DYwx25Z/JAyr4mJO6cvdOaIdUysqZbuCpX/+veYgorxIQW8i09CYppJjwQ6+ownlPHxPHacLE9y9uF5dPG9ddz5GzI6WkRu8RclyaJFw9yvMcKHHi6eUF3/nWC842npIXpHYYLDlHvHOKUNaEqRqKs/LLba30fX8quFZU9KHg03MjRmvkUos+azmfpgUnKovRiN3aRo/T/QFTnfJGEZaoaHHqDZuxpxSlGO3vj5ydj4QQiC3OWSj0flAhSxONaqSvnnjnPNY+eJE/f3HJ9//ke+S0MB33jL4jGbUwA0WosxSssS0oYnU5KdSigTaaXgoiLca7SXR0TbanaNp1fVmiAhDuNH1QvmqtlSiWvrMMvaJxpaG1K7q6NqqFQrVaGOZGaepcj+RC7wopZfIysQjE1f3eGKRAbD7SmUpe9wYxlJqoNVJyAbHtuwtdaxYDChB4geRNC93oSWVGKJCbvaBRLnDXhHshNLqR01jxHCM4ITdeNS0oZ93hao3krCj8dfPmdn5s63AlxIyjOZaIovrGaSIspRJSxFlH7/zpPdX9qTXbWYGNxzoFRDSxT/S8lNWhw1hSVuePIoZkEtvNGUuY9NlqLjiPl5hSmxi1TW5Xp5mVj1qzIps65FCv3pxcu56No59UhKg8cYdtYEMyQiiFnLSZCY1CVJu7Q06LegMXkDnz7u0VvTdstoZhN2pCYDbMSZHHjFCWSBFHDioovT/s2d/f4o3lk08+4as3V0z7md3mjDBP1G7ltmdqioSsQmprLeL1XK+HNjJG/Y+nifubWw77e473Hd/+7CP6vmeaDfslkaK68uwGqMYiWUNDcq2IF3ITSyo+o/tbbNQapJ4m8SLmAcVu97KYyqbfUDCEWMlxxvmey13PB892nG0MZ/6AlMq268EVZBxxxlOr6ixqsUzLzJQjJUz0doeUiCkWW41y6atSx+ZZBbCdXeu41Zf50Xl5xP1/LHzcbge2u55KJCfzEFn/G0eW2iwUjdokNgDCdr2m3FpLMZmaEt3YYyrN+vHBm/k/5vidKJKNCH0T2O3GLcYYprx6KLYRQ3z/iQKagABqiuSiG5YVSxLNtEcKGU43coyR169fKx/H6cMbSiWbSja6iXXSeDHFtnFJoUwLm/EcY5v1jsDF03PmeWYzOA7HGdv1uPNz7HbLXez44hdvNbwAeHH+OXGZ+OjZBb01pOUt7nzLcly4uztSC3Su55/e/IIUF/q+4/nTc6iVu/uJeZ7x44AYz1xGfLfh8oPnvL1+TTcMBHsGg0OWG2JcQBLjpqPkWQMOzNctvbrGPQ0p0G83TUzQip62eaw3U297et+1Bay5D7gHVGbtYLMYluXrD4QikAacIjoxqQPCNE0nZOfEmzWi46jzs9MDNEgl2wSl4rKK/2qnRcm6ua4FSlrRHmuJKanQahzwnTYyJQf6fkOM2n1XI4Sq99fcuIubQXmRQiJPsW0Gau1mGwrTu4Gu65imvX6Gdl9Ny6xj0s1IrZW7uztAKQZUXRim26BIgvv4RCkxRj0dq4Dr9Hxg1JZnnpQ6kHLCWk3BU+GlVRP4b3jgB1NOzc/6mlor3uuoXdFOwfuuoWErZ12V+Tv7deuuE+LfAh/mmNg3hPLEtXRKh7DWMqVwEm1pISKE4xqI0EaWOROTMPTnxHnhfgrsNmc4Xwmz+kvbRpvpjMajvu+I80StwtA3iyfnAY0kFdP8bZ3FZ3VlcF74YLPlf/rv/nNePB2xJbLbjJxtR5ao49F5PuJEUUpdZ5Si0q0CttaQSdXnabvdcjwekVgZO91cpDVxBoMhnlBJY9QPObeiLyWd3myGkTTMvLv+irP6hG4Yubm+4f544Dvf/1MKGqjxL/7yr/l/f/SSOYZTZPYwDFgDYdH7flk0PKDve8ZxZJ7V1nKzUTQ/hMD/8r/+D/zFn3+fsH/N2A+k/UIty6mRolEmnPH0vSeloGJEoxu/0JLdRIs9Y61OAMVCC/ZJRUW9RWCJKhTMNKeXqA4zh8NBnwnUS7zzmW4c+PzzL3j96jXHfYfYLdZ6csgcloDdaChSmBc619N7jxuhhKD0MIT9fOT+ytH3Pdvt8GgyIs3tp1KygFHe9+5S/XOvr+4Jy8zm7JxwPOKbQ4O6SRQ6p41UXiqbsccYpSSJWEJKpDhjxOO95749P1LVS94aR84oLcCoQ0ShqoC5NpvJUijZst14jocjtWSscYzjluNxTz/25KoBMqcx9RTZeo/krFaeVumHSsnRSRS5sslGf7+puF7TP3POKhSMCeM9tSoaa2qbEFhLSoHD/YEllPb8FkpWzn3n+mavqPdDcYYut7jgdo3XZWqa9/TOY7zo/WSElEZyUfFuiAckV3KzhnQkJEZqSZhuxOTIqCwglv1RbVuxlFpb0EvhsESm+8jlZkMsljd319Tuig2Wi40h2ZGLFx9ghy376xvSsLBMgePxyK+/+pLrqzf8z//9/8g8z7y7+gm+7znc72E0bM8KXT+eEPqb27ec7S5PIr/VxUhMxTaP93meubu749c/+yWvX7/is89e8NHlGeH+HvIl14eogVKbkQtrsbst5ViYp8C7/Z6UM73tKVTmFIg14opa2BUjBKmUmnDosziIx9I4605pldXukTowdj3LYSKGKz766AOeX3o2PZwbQ2e39DI0NHrEdR27s0u89xxub0g1s6RZ6USmQFiauYnyyJc5sD3bcnt7i4jw9OKyAVTyW3uJniu9L0rVYB3vOoaN8PTZGReXO+ZQSfv3134hKfIfY9KJZtI1t1phDpEyL3TO433PMQUcCmIORtjP03vf833H70SRjDEMTy9BaotxVvGJqBGXdtn+/8eyI9tmL6aivJwzB6+UAFcFkiIybd3W1+GpgIIKFmpp3KKGyJRILQVfK0YMw2ZDHjbNfkxR0r7fIjkwjJWUhc32hY6JcBjfYQTOdxca0QiErIvW6+sFI2own+aEiKOaM6pUppTp+nNSTSCer97MQKUfd3Sb3anr6n2llpm0BGQYKdbjJECawGWsM3h/pt0tlrEabOvoYk0Yp1ZRKSe6ziG54BCqG0+buEFaspJGSYcUGZzHDIP+nUkndNgaq2hkzG0zffDSnJejij+8QbxBrD7AJuUTJ1FEo55jnMCpSrgWqEvhzmZ2fY9QyHFRmmNWD1Pr7NdQTW+lCQAF710TLxVIGYnqVWqMp/eOUgPeCcbqGHrwzSO7CaCs7alGN6HOqNl8ycptrTaxLBBKUj/Rkun8Blt9cwPQgkTM0BA+7WJ17C442/PFyzcNgewIMZOKJSNQLEJB5iPH1musCPOyTBjfMcUEFEKo3yBlA+dhifmEFOWccb6jH/Wx71AkrxRYiA+ezI1bmlviYj8oxUObKItE/Tx97+m3AyKKdqoCPZwaJJ8GRacQYoWYMwG95pJKo0iNDH1LZ9taXFGUrPOe0TzBXap4ZZ5nrIls7Pa93/WzTz6jVlQUBhyam0rOAQNstyPGCKZ48hx4ftbzx3/4CZejJx0ObC8ucHbDElWbsEZxW6kYp826b1HMxuoovRZF9rztsaYS5qAuPV2PsQ6p4DtzQnhDSPjqCUmV/0qXUcszKYUaE922p95XhMDrn/+I3eUT/uJf/msOIZNawfqzX3zOq6/ests6DkvFiAogQ0iIMYzmDOsNfdc15HEm15nt2Y75qCjq3c0bPnjxjL/56z/H2UxdNOAncGTj+6blqDgHo3cMdlCOthn0+ahy8qhV2o7XoI8KzquQ2ogiwEPnNLZ9f2BeZkJaFDFHPXznaeLLl59zPB65P2ps8otnH5Cy8JOfvKIaT0iJmO4otse6DSXPSHML8o0ulWrC1EqOjiqC2Ioxkc04QQ1Mc0FMh3EOLMQCzqjnuW97zjzd443l4tzROc849Mjl5qSFePv2rUYZ46kOjqZyFwIeix+U84sBO3YUYM6RobfkDioZ6zzS9CXWFZaQMKhloE/gfEexHSEt1ByJU4+zG7JVu7gpFqTXArlkEKPuIb4byDZyc3enEzpjNBfACOIsRTIxLDgxlM5jq+oJYlZRJkb5o84YbMn4CEPV6UaSChbGTcezy3Nu7++h7Z0pqpUgvmBEcG3iZzOs4UCUTKUyr2FdOA4xkm2H8T33y8LgqoZMBRDZ6euS2uDFWilFAA97oRQhlIkqlTpsoQoOjbvvqlCzEE2hk0E9oLNwjJbeDBxr5t2rO26ml0SBb336ER++GPHV8eXnL0+hQ3/wz/6IH/zjz3j58qWCH2/ecpgX/vDpQAkT4nUtyH3P008+w2TBGAVtii14enpjGVxHwfDDn/+Sl6++4kc/+ke892wnx+u9xdoO2/UcrOWYZ+YlE+NMuL7T9aUA1SLiCRhijsxJ+ch4OaW5bqTj6u1b+u0OK4abfMPGOD46ewJUphwRDO9u33AdAn/y+5/yyYvPsG7P4I5sfKVzqkWw7gwvFW8yxlSszRjr2FwqkNZHtW0rKTFPiSxVfbOKQwzkeVLPf1ERpVDIbW/RhgbSSqVcojbZ1hOWjFDYdFvOx5GxyyAdc3k/xS4ngzc9ziZN5WsUMpMGnpiO2llu4pHDsuds2GKcAnClJHr3H1/6/k4UycIqKGouB7XicfrgVrUJk28IEYAH6H4tJLz3Gu7REA4jGvcaa4X2mhXntG0cLaXxWs3XgzBOXXrrfObGrTHGaLcf1UEBMSSttU9cXtccBaRod2lchxSPKbHx+MA8cpnNRRXwuIfxrRG1znosdHs8ntB0Kag1K4HfGErRy2rF6di2jb9yXq3E9ObPbaGsVQt/HfM/CNTWKMlTCANa6HhAGs8YVPS2jnPX60C7pqs5OEHJ9U7MKUmMR+gkNI/J0hFyxXT686UGyKsBehvZiaajSeM+rs4TVVARRoXt2Rba6HtdSLz3J1Q1l0rWYKRGI7FtDF3aOVlpHE2YV1V8YNfz0YJaUC2A2ga5Sk4PSBWg6McjDlZKiVof7tn1eq6H3sM6ml9/+pu8XkXfLbWN8b5pcFRw7X3aSEsEZx8SHVdNoop7LKUJQQULyEnc6qxy40Qq1nZgHuLTK0rdcUbonFf7ppU6IxmTDVUM3mjDe2wCQNNoD85YumxIJbPaGPpS6Iwju8pmsznZ5xln2Q7vL5KH7QaqnAJ0UljlY16fNX0wGTrDsNnxR7//LT78QBMNz8ZzOj+085DhUbSqUN5zffR5Ko1bvP5stUfTKZNGEK+cu1rW93kI3agYOusIzYO3SIYycHHxjLRMvHn9BVdffM6fOcEkWOYERqckx8OBF0+esv/yXukcbRRfcybJokiQV3GOGM8yT+w2W/J8jzXC/v6Wv/jzP4WaWaZja/60qO2dP1mIuZUuso7K68P6aMSc6E2Pz9EDrcthRK+7sRXJ0t5Hr1OsR3JMzNOR65tbDvd7fvXFNTFGfvXyGsFze7+ATYQoVNtp2EgpOmmzG5AHO7rBdxRJp1CanFO7520LoFgoppCxmKKfvSQVpjrjQTxhuiWha9ZhilCEbtBnw1qL86UJvRRd7S2EE2Xg0cSmPFCRNL7anj5niWpxWk2LSW8ices6feZr1cK1CnNWAbsYfUbKSi3xPdaKxrTXJoYiMfSWWhO1gDUqcatVKYeK8BsyUfU3poUM5UpNpelyGpXF6Ph69SqpCKaKhgZBC4NJLaHOkANIhWp0RzOuEtTVGilK7VoDMKqxqg/xTlHspRJiJJdAlBWkklOIhDG2+Q1XlqKRwxq0066hgEleXZhKBSzOOug6avRKY8Jh/JZwuOM4Z4yZ+dnPvqRkx6cf/ynWb7Fe76dUO97dznSmcEywPyxcX99At+F74rFeHaDW+9z0O/IcieLo2tQrzHtSgG58weura1599ZY3r68JySLWc7tPvH13bF+wEMUyRUNMUPGs1nc5V8LSAtVsT8oVS+N6i1DKAdeCoDabgc7ZNpEdWlKwItTiLJ23dE4gRZ49GXh6oU4zY1cZXNP5SAvDolBroNZmM9o0KdZaapskxmUipNLckQyFROeayLDRZR/v74/Fs+vk2QJSmpUfmlbr/Jre2aag6f1UW4+yD4bO44w6gGSTCSWB83S+x5nAUiNJtK4sirgi3yAAf9/xO1Eks47aEWh8zc6p52go+pCmb/BHBU7xx+tYB8DlquEMuRBpCnC/pgfVJubTglaVlYqGdv4hahUsXXMviHFh0/VcbDf0zfv2cDgwXJxRSKQcyA39RHzjojVLMdPG9a6HUjFlNVMvWNNcEAQ62+E2jiUdyC1dZ7PZKD/wEX/n8YaUQtAiFNSruVZMvzvxS2tRMdh11QeyqkxbC62iCWlagDTeWCsQqA9ehlIr3Ti2f68pP0sI5Kg+ktKs0NRxIX7tcyqqa8F5coG0BFKprfAzxJAaZUO4u71n6zp90DGEmticb6nLwtyoGZteke51Aa2Nk0cr7IeNfs4slYoGXvRmPPHFl0V9KIsRSn2I56xAyhOlaDOhzVoCGu2EgjcWN3TqjzpNlGLo+gGsYV4iBfVrVJJ2E4m61Qe30nU9xjz8ztDiptei0hin/F/r8c7Q24GYfttjcs6RnenJuZIHy5oU9ZuHsR3CY+qLkFJGolJcjH1oBjbj7vT+piHI3qql2TyrRc846HN2e1A+4tD11KhCw+1ODeTTSotqv9OKTnE640CEPufm3azjX+WbJTorhLw2ZY6EkHLibr/H9x2mLfKH5fje77o8VkAL7M53UCspHJGc6X2HdwYngSeXPR9/1HF+Zvjo4w/pxGFMGx/XgEZEy+m91uJmDYeYpolcC50fEGNPf9d5HcXXxnE1jZdfSiGGoKb6bZxlracgeOuaONgSIpr45kb68yf8yV//DXeHPcUIqVQunz4jxoXb25/zxctXvPz8LeLOMU2DsbrR5KjJotjKvOg9drk9Y39zQy2ZeV74b//r/4L/8r/6W0rcU9NMmCeWw5HeeXJrNNQjuINTsbLey20tFv1+2tD7k9+5cxaswXf6fdWCzmNM5Po2cpxmrq+vmZd7RDzHw8SPf/pLDoeJNzeJ/TRzf4w8e/4BbnPJ3d0dqapzR00TUPBW3USy0Q3XFuhyIfpENpaUYZoXpBa8BJ2OWAfVkosjV2EYz0g54Zwir0uIGOkoKTPtA9Y6Xn91RW0e5mvssvceMffNV7fDVi38Vg64PlMPbjJnG0eqhTkuZGuxjobKa/BKDuqwEeOCMa6JfnWPuY8LpEzvvSK2QEqZWFT4KEWdmo5pQjjy4sUL7u/vmeeZ3WZDNQPT4YgF+lHXzrIcdBJqvGp22h6YjQrpcl0dUgz9sKETdcyoKTPd39BZja0fjKU08Mp0RjmyUQOqwhxJTosdLYCEoa0nN8ejTh+l4pxBilLJcknapJaqE7/mtqPJsArGSM4tgdK28+8RhCMG4xU80SY5kjH45rKwdSO+c5wNZ1xefkBOkSlH/sM/vOaXv77jfLvhcHeL85YPP/kQ2/W8/PXPSSmx3++JEX71g5+zr5anT5/y7Ok5L5494/nTp4zTQl0S1RbmJZMbYJZi4SYd+OGPf83N0TOefYvvfv+PSSmwxMCv3kRqLfT9huIV7S0ZBj8Slomuq3jfMQxK5UvpDtsXhk6tSR3w7PKJUjtK4fnTC/IyYy3M+6DOYN6RYuTu7p54vPn/2HuTHlmyLL/vd+5kZu4e8abKobLmobspqshmN7pFEIIWEsCFAFHQsOBK+gz6ZFpopRWXEiQ0FxJbbLaaVV1VWTm8MSZ3t+FOWpxr5pFVmURpI2ZDaUChEvHe8zC34d5z/uc/8Ac/fI/vfvAdPnpuKOUtTw6JIQT6zhOqw4ltlBWoWR2ITG3An+mwzpJFAa+SYbfT/b8g5KSU1lLYiuTNlKEVyyuAVJrwU8RqoqD1OKElIWYV0cbCdM5MJwP8Ls0u54rkwlISSaC3Hm892MgcZ6JkhsOe7nDF8WFuTZ+hFiHx1aDrbx9fjyIZNnRm3e5zubgJ6A++ukhe/z2wLVKpZKUPrLwtqxG6j//ehl6jFlXOrp3PBRVdN8ZVILA6XpjGF93t96Q8siwqhqliwJl1wq8P2SPxQouiab9VaQ1ruIaid2uK1QWJXYvk9XtuSXZVjbONscrTLZpnU+oaZqEduxhHXRoXSJR+oRy5FZm0DIM+hHkeG8LJFg2uk9dmT2ZWs+9CaRvwel1q1WjVrcNu57y0GNSK8mBXMeBaYKzq53mOlE4ILUoz50zwVlPlWmFfREVBttFwaJOHtVCsBUQq5ynq+MjZFsesvCzrdUIRl9qu8aPnx8h2zWghNilnjHO6SUlljpGaowoARTC2Jd+hUc9izJdasq2CxPWZWhH39fqpOt0qiNT+vtrPma1IW0VxlYwUg6lN2fsV2fbBecTzhe5d+dsea50WdA0xDG1qg2j64jrJ0GddEdH1uQyNa2oqRBQlGsdx4x9eAhlaYV/q5jdtWvpa13U4ESIQK5tQUR8xDUpwpm7PedEVDvmKFStnLUysuyAXYtUVJ+XMeD6ySxzkmwAAIABJREFUIHz0/p7nT3q+89ELdvuemjKmU+7yyhtX0enqb/3I8qlcQj8KFzHvKmjV+5NJMeJDB1yuJd63RkibV9o7oNw+bSSWosKcCEwJ9rueg+2ICaxxjKcz52nk/v6ItZ794Zq3x4Rk0effro202i2lHMklUYo29LRifh7P/Mk/+hk//tEPKPPr9h30nTLIxqdcn8PHTflj4W4FalFE74vTt7pNiUTAsqby+e0dSKnw+W8+w/qeXAzHOXN7ijyMEYzHDR1jVpTLDR1l1nchV0U8O6cUDFC3Ii9GqWBGKCaQXVvncyIYUS5lnChiMF4FoULCWmGJIxUNgzmfdK2y1dAZryI55+n7Q3t/JoyxlDqSc8ZKQrylSm5Frrm4wIhStGg82dreZ+cdcY7E5v0fU4SERn+TEVHqSq2GIfSklJinheA9feh00pgiJS7EpOLJzjlSgXfv3hFCoOs6TqcTu4PFm4JF6Jtg2zRefy2ClEIWjU8vUjRxj0aToEKKGoRjqnI6rSVXdbsxYnG+WRg6tcmm0ESWhtTigXVnE1x7eUOjJaR5gWxaGEuzgyttwiqy6WPUok/Xa4rGuCtVyWq8sBRF4dszV1IiV12HnPUa5FWD3q+uw1SHjZ79fmCJM28/fcXxPjOd75nmkV989oaK4Ly+40oz89ycjvzbT27YvR1579mJp9cPPH96w85GnBiG0IFxFIRzqRgfsLvKm/tIMTtCCOTaYU1gt/fkFLUSCF3TFEfde4xra+clsEfX/RnrVBwusRKM7v1d8EzjiVISV1d7PvzwfV69fMnd3R3Oa+jQcX7AmEKwQrCFEmeCF4YQVEviO0xR0Z8vuvfnqsLK1Umk2w+6b7XzUe2Hgl22GoyvW6qut5dpo/ktZHmlR+pEt7T7u0ZJ50ZJZJXjfWH9eXys4GKqpRksKeUFEqY52qRxDbB5ZDVruYxRf4/ja1Mkr7xJ59Spdy4tz90adq4jpukr/+3/8s/+0//vTvSb45vj78hha6YYHXU7p96jKamKOqdIqRFrhaurKxzCPLfJARFTs0a0o4XbNC2aQmgt13ZPoTIuIzY4ur7jdHu/FYq1LXJVFBUwxuGCxxnDQlt8g6M6x3kZsVlFSaVqo5nJ1FRwO2G/O2gq3jSp1+f85f6W1jus1aIkl8g0n3VBjjOmFJ7sDoTO8cc/+wnf/f4zjBlZ5oXD9QfkckJMUIoEHqqQy7k1cmpdaBBevnypG0DoNOkqZ2qSzSHBSMUYITRaTymN5gGUrCI1a7yK75xQxTKmiDiHdB0G5ffmceR5GPjk1S8REc6//oxgej7++Dc8nI/8+pNPefXulvNc6cOeuFo6Zp2YOQ8pT0xLwjiP9wHGhesnT/nkk495/uwJP/7hd5nODwxeJ24GFaDFuVBEo2VFpCnuLYnE6ie80S24pNOppZ9OJpxtHu9UnZxYmmiVTcD02WcvefWrz/nb37zE9AOLP3Aq2tThPAbPKWZO97dQC6706uu+TnhaMRZLxnqHEUOZI9Uk5Tsay+B7kEjJM84Y/F6FT3OulJyYp1tSo0UsaeT+mJmiNpXPn77gbhypIuT4jnx/T621Tc4EbzvSEonjGSmeKc/EqHx7miB6TchMRwFnWaSQsiVjoKgVn3UBbxS9m2bl+op1uKSo73nRSdLOBXVpGlX4ulRNFsU6qJWH49Q8ywveL0182zOP9xxcR42Rm1c3VBF2V08oBca4qAZCdBplRIMZBuPJTXy9zCcwVadIuTCdztjBs8zacHun06XZWJa06MSkNbspqjB1dQ/qqyEuC4euY6kKhlgrZAznY6LrLNZpJLj3HTVcQqbWadjJWyQbTOlR7wt1xLFJm/i+U9vDfNhRZQUhKofdwDid8MYhpsNfqQDa9Af+3t//KdP4wH4HmQShYymZrr9QG1eB+PFctWjsOt6dIjenI+dlpjeBXVewvqOIYCVhA7y6/1v2T54z5oFpqvjBM02Jbtex5Mww9Nw9TCRJFF80OyEnXI7b713F1CUHUgLjHb3dsfOe2kC0+ZQJwTGeHzg+BN5/+oSrw8BpGhmXmavrHd/56Uf8wx9/gEtnnnQa2mFsplqlvuQ5UkuGlJRH3hql9Z07n9WGsOaV/uERFyipYJ0nSGA6jZjObEL6x9TDUsoGdq7PajWNqpGiOkUV1Z/UZoNKNXjz5dSIuVa8MTiv602shVwzY1Z3FIPFNivXWvScQ6d6k1KXL/3MLzu+FkWy1NWEnA2aN3NpdjSZpS6Qv7pI/ub45vjm+N3DOE+NSS0UU1V7JRcwjUebx4z3PVINp2lqGxLUWnDOMMeZ2kJi+hDwVoWrD+lEFYsLARMjZdHxfjarBzd0vidOM65bHVR01LzbKzI2nTUoRGoT69aKTc06MFhqsOSSebgfIVRwhslUTP5yVCHPkdgQ6pxhopDniRe7jk4qTwbH8yfXfPB+x7N9z+motk1jTDzrFJ2pNZPqDEbpNP0w4MSRUybGhWWZuLq6wjuNRyYXrKlMSa9dHzqk6rQmx6UVMytXwWPXcIUCKUWsha63FAx5igzOE7PqFEywdP4paV54++4lSOU3rz7l//75r3G756TSqR7icMX54YZclAZAtRgbSRGC7SFDHmf2fc/dzS3eGX72D/4I/MIY78nZkmPEiAeXsCR8cEqJqhA8WJdxolQpi2C8I+ZEkqRc9hKotcPLoHz9qrxJbwqmZnI0mK6SjOM8F0Q8490NIwPv7hP1NOOGnjnDZPeQIOfYNrc9VMPMPbaYrQEbxStFTgzLODKVxNFaet8zz0e9FtZSTaVr0ezLrJ7ZcZq5u79juLpmioluN+CHvcaoExl2DsyZXEe6cEWXVKhZaiYuo06j0qJNiXfMy0hJlVALUqIGJwCDXfUmTps+J8QlQrB0S2awjloiuUYChtn4NsaupHTS50Ygp4UpTYo2p4KIZbZaRK2Jhd5VRHKbUhRiHOn7K2o0JFFHGtd3xHnhdLzR4s8EyKYJdNXmczaQXdEiLRe6YYfQQkes0F0NlCWSawXrOWXBZsO5FBTi1vAKL+B26vbgi05RklT9GZVhTXaNymkNYaYLHS74xs/XgCPV6SjVDeBpCWQgGZ1aVttRquC9CvfEKAXQ7P2lmTPgnCHn1cFJC/tdUmGctXB19UT/fZvWdc7g2yTpsGtr1ngm7Sz97grj/TYRDCVjo56nBE/oAlFgWhaunu+xAuyaY1GO9MGQoooo53Ei4zXs7JSIRZ2M9l4n0PodHDGxOQiZagHHXAyn21tCJ/huzzgV5nji+Pkn7IxhyWd24XssZ8P1/g0fHJ7x4mC5vzlhvQEHU7LYIhoyIoKRQKUSusDt8RYR4fC0Z4mZ4tVZxjvBd4HT8Z5d6DBOrS6RiOku7kziDMsYyTUz/BZya6r6qVurU420RIy1xBJ5OD/w7u4G5zPWJsQU4HfFe94qF5sixJQRm3GN056ZqWR8pxMExkm1Nln91ddG7vc5vhZFckW7WmNU4ENKFJepRvtEqOyGq3/fp/nN8c3xd+pIaSGio8vVUs46A1kpEKuv8du3b8n1EhYCbOiPWBX9jPPMru8JfcfDw0KsGVJh59QneyGSDTr+rUJJSr/IaxBDrSqIbLSM3JA29TRvyJOoCJUoG8XCIDBlqkS8M3j5clRhmqZmAdj8XSUgRYjzRN8Jf/SHP+T73/uI9553nE8PUBJd31NKIpYLX64k9e8Ofa+uGsvC8XjUDSo0yoloaNG8zKS0kIqiauSsReQ6Gt648uoSAIBRaoM6GVYwoTUKpY1W1X7vdL5nnnWk/8lnr1mWhXfHkXGBebonToneX3H/9nNC73BOEag5Zo5zxnv1CpVSSWRuxld8+O0P+W/+y3/Ot99/wfHtZ+x3Pb5TzmdO6gLjnUaD9z6071qp6DX1xuoYdomNlaIR5Cu9BqCUTAge31LuSgXnAt3Q8+7lDSkl3t7c8Jf/5m/AP2P/4gPmnHl3e6YaSxIdvxqrxSA1NkpHowNUjYFPZcEHLZykeemTC8VeuONrsuUxzXS2A4ES1Wmh73eM44jzHXmJ9INwGHbYrAr7w64jhR1xKRrm0LQqc4rKRw9BLeyyiuycU3FmqZWp8fJtS2dziHqGJ6X+pRIZ/EDJkGthSZreWcVslKpNoNuoaMrjr0hz83HNGvV8Pm9/dxXwrp8BIDEz2dVbHbCW2GKoCxnvBowplFiIdVF7xBwYbN/0B20iQ8HU0vjYgdJsAB0FJ/CiX332LbWqj3uqqi0Rq3TGldu2TZyqrkG73Y7d4Lfo7iWnRj9Tbqv16sFrraXkCWMcSynqEoMldIFh/y39/TFueg/vPTmpFLcWh9BRUqSI2SYbIrVRHEwTqzcaQK3URcXEMWrAS9cFdtLEZ3mGGhFrAatNgxHNVVgWijGbt/fj+1nEQymcZ03nFDEsJSG14gW1MTSWKZ636xTj0sALpX1ae3nnBJjmyDS30DAXqJKYy4G+v+Z8PHF9cPyT//jP+ejpM9599ku8KZxPC0xg/QHb6ZnGlFjKQmcM9+cz1gVyjrx6d8Nuf8X5/l5t5kzBGcOLbz179Lxe8g0ei/d1TSgsOSkVIuuU0PqAtU7dLuqqUVJbyjdvbri7O5KiwRjPbv/ltp+dV0//WtWSd44zy7Ko5aUbMC7Qtfj0ZJQHH2siZjZKx+9zfC2KZGDjJBrvIBeO0wPWu5bbLbjQ8Y//p39Bzpm/+K//6b/vs/3m+Ob42h7/5H/8n/HeY71nWnTjM2I2p5cU0ybMWp03qCv//cIvF6cFbM6ZHNNm6l5onNRSNFNOYJ4WtcJrKYCxaljAb/PJ8jZuuwTHrJuSfnbGNKqVsR5rVBBUi2hIxVcEp3jvN871epKCIU0P7J8+4fvf/xbPr3tOxwfyMlOyFl/d/hrjdkjJlAypLNhGGfFeR7L39/d0Xcf1k6eE0Df+pGkOLRW76griAsaQk21jUN0ENZFSxUdGlE9Zq0bO5qQ/XEMDUllYlqUl8WmjcDxNTNPC3f1IyjBNUe3kTKYkFddIraS5RWaL5zieOAw7as3c3LzkT//sj/jzP/8zPvjgCfN4x2HoOQwDaZkpaeZ8vMeKcHXYbQlu6gqkDibBqwdpkUyuRUWXFS1epLnN6EXHmhZC0txfCBf+/byMvHt3y9u7BxVV+Q7nPPiFisM3PcQa152TinNT1alDUUyXnAsmh20cX1chduOJrz9Xz33liUtSQ9Y1OIdcmMvMsL/4Rh/QRtI0JD3nSJJMbSLf1aN0LULXBhDM9mz/drGw+UgbcLWSir5/hS96nJeYCN5j/CqQLOSi4U4Wq/Slqij1VgQ/0tnY9vvW2KycEl5UH5NrwolpvsygQR3aTEj5oo1kyZWlCFILYj2ueSQXAZq1odGPoH0KtjWKpTlt1OZc4xoH/fI+CNLS2NZ1JsaIDxZTja5V6GPjG4+1ltLE1IW+U7qLKYqcI4KpRRuparCmJV9amOeJFAu1GtUbiSflBFML1vFgjDB0wyaUBw0v0Xtb6H1H8CqcK6XQWaMod85QC3mOJNNr87aunTlvKHCKiSWnzQ3D2KF956y0GmdBFgTwxmANOBHmR+um3t9H6/Kqp6o6SdFeXO9zs+kCM2BsIHQ3fOvFnvfff854c8d5PLLvLN6ohWWwFhGrSHBRCljO6fJONaF5Son744llnvngvWe4EIhLvpgGNI2F834DXxSX0SdLqUiihTfNbtdZ1hXGyKphqUyjWsulqBznr9LYSXvmxFSMtZSi5+6qbK5D86L3TWxQ/U2Vdg2/yhPqd4+vTZEcXHu4xSDOsOsO28WpOZEejgRmcvn9v9w3xzfH/x+PEBzjeFYXD99tC6sTQ5ccNSZySiRRwVcIgWlakKQoTAgBRBjnM942kaEU5jSTaqLf7ZiWxLwkTuMIpVCtbzZPRoOecmGalSK1FeKsY88Wu22tpg8Wg9TKQqbUjEkLkgpROma5iHg9iuZ+2bFaCq1OIFIgp8h3PnjOP/6Tv8cPPnrO29ef8+blDePxgW9/8D7eCM4KD+NCsEadcGLEW0vX97x68xpjDD/6yY/1ewgEPzBPWoikHCllYRcUHVqmSbl4ppLaKHbF90pVD9JSRLnXovEiVpyiUSWSUuQ0npnnmXg6EvPCw2nk01e3QMfdCYq5AhcJUpiXiOsGYhypLBx2nq7rKOOJWCM7X5nGE3/6H/0B/9V/+5+Tc+LVL/8Pnh2uCftr5vsZQ2I6HplO2gj4J3uktiCRXDDWqMA2ZWpSpxtvnQazGIc1Hm9CS7jSe+NEpxUFtWvMtagAzsD9zS0//8XfEg7PeXP3gPczxgWGoSfGSHAe7XAitTa3CFNbAQD7rscZbe7GUacHYiw01O14PG5pqiEoGv78+XNq0nsr1TCNC0tRqsK4RE4PR2pLFCzOk2Ph4eGOrndc7QOuBlJW15uUEhiNzF1tqqSJO00TZ69JjGtjoDWsemEH57EFzuOoDierKFuEwbf47JKhVqwRUlzUV95rI5Wq+sxuNnstLCi3KYZ3jt6Hi3iwrt60mUhS/2ob6HYdznh1VlmUSz3YPdlAMZYaEyUWjf5uTkymFm0mawUpVLEUC7kIpjSv+zWeusA0zkQRbGjuPK3u27VCaj3vGKMiv32nFAZnt8a+FPWDdqIe3LfH6dE17rbPOZ8vdEzlw0IXBoS0IY0i6kOtrlMJweOcxTirdIrmbb+KzNZwqpRcE2nCvIybqwZoIb3MM0u5WMLVlOmNitpK4/Qa3xqzGlsDllr+QKS542NbBHxJcWv6c3OGEbGcTqdt7VybM2s8Xa/I8jxpA+Z85TxNnO4m/vgnO376wye8+/w3mHnhePuG2/nEs2dP2V9d430h1qxC3doQb2txXc9xPrXflXhz9xrb9Vw/vQLjiLliWpiXAiHN2aZNLbbAnrbup1wbrxZYpyZFm1CA2OxpvXWM58Ttu5lprOTimOLEl9EtbBOdrw2Jc+psFU+aR2BMJNdT2/ucDgzsl9P1/l3H16JIFjQDnlohaRc2mF4X2aocoqugHn9rWMA3xzfHN8eXH84bfLaKYDa7w1rVw6WmusUE11rJjV5gvWuFZsaU1bEksdSsdnsb6mupWHJWxfCKKC9FbbZc7zDGqfVcvngIXwQ46QtoX85Zi6qmri/r0Lgp6EuBbBRLS6Viy5e//8vqw92suqAS5xPf/eiHfPjB+9zd3HB8eODN69fEZdRxei28GA6kRjWp7ftQK9MyE3Oicx1idXxbYoRqqSVgjKJrKU+YmpBSWaYJQiBbhxIRLwX9xvdGw0qq2j5osVyF2Ar0dTSr1ywzjiOn84IPgYQlV0XInXcsy0gxRikOzvD+iydcXe+5lgOCZQgDKc587/vv8/bjX1HJBJOpeSLOlqfXz3j79k5tJL3fNma3RqJbpwmTAkbamRtD6PSaZC68T92smqivarhONSBG2kgVYoycTifujw+YMBBCS+mME2ID1qDQsVQqKlhqfifKq6+KBEvjFK5IrYq+FV0NQYuXnPP2TPhOx7XO+IYqGUKv7irOVWJKpObA0zmLNQbXd/jBMuURslNecdU4cMQiTgulvCSc07jvx+ioFsZaPBhrUD2/PmemKrJmg1frvirqpuBM8/lWiqEIW9O3iqicM80izl8cBlYEs4UzrdckpYSj0RREw3tr1eTSx85NKadLU1QFYzImGMSp/32tGWtUhOlEnZMtNIqC2l7Gov643q4e7ItaIHIpSjaP+t9y+RFZQx6aE1XR5yhlnV7VXHBBm/3UEP05tQCnsK4l+QtIq641ckmCNasTigcpyOqcM6t3bs6ZmEr7vfoerqmzu6HDChRrmWb1Ufe+tvuC0maKuiw5axrdTBvKJBVptIhSCg7lemuSdIHmfV1KxkvF4DFWnR3mSSdKfe9YxXsbnaxRy2qwkAqmVApWbQ5twVCI54Unh2ueXgXevX5LnSfevnlFzZG+73Chw4e5iXChiq59JSadtGGIaeY0ncEIT6/36lu/ZATRoKqStoZsnX5c/JAvjlzOaUOYUkKs08mBMcRF79ey6L32u0BKhXGcKUURcr5ietivzRcaqU5bn3AWIyBS8E2c3snquqXPSEp/x4R7CMSSSanQU6AsFJswOFJV77vnTwPDoMKM/+Ev/yXLnHhzPHNaZmLtyLmwZNvqbLWSSbXF8rYXJ0QhmtoU/2pzYmq7waIPn9gLUm1b8yMiZKOWOdHOfPvD7/D69Q35BF0/ENsF915RBd/WhSU3D2ajC1lbP6g1YZ2wLAt9S+Sa53kbySA9XS869qtAtW3kpd3u41He1IzGv2Ap5qSZoqNe0zHSt9hWj8GW5oPYFtrzPDHVrCp2UZN6KeozPDdka7/f47yhs0ZDJqQSxHLMi3aFS8WiozxnYOg6DIVaEufzUbmLTkdlGUWJ1hGmNWu0daYzgd2+4+7upqEBO2pguzYrcjCOY+ukNc6ylETKkWo8BuiM01CHolby68trjGEYBmrRDl0dEfS+nE7jxvfaxqhyUemmFnOthuoXH2jQZyRwWfg3Ze/KyTWi4yURbFY+7tL4c+v4zoc9tSqnU1XyhYf78/Z528gv7DmN6hfc7QastXSuIyVVIN8U5Uz23TVpUSukZZk0WMUbUvMpdr7DGWEYdnhUVTzPc7Mqr9SqnLGcZkyFvlNkZBnPDSVR6yhxDjPr5ptPx+ZpW9jtO2Iy5CSID4rqeF1gLfqMLSVxloyJpt0vjTY3/UBMmhJVl0UdJowjP3o/Hx/rtZ3bZtsZR0mJDz76Ns+ev+AX/+p/5d2rl8znEd93vH79jvAwcXX9jOhn+u6arusYz8KYZ0osWApPh8Cv/ur/4t3dLd/64IccrjIffvQdDfGZM2XJvHr4FV3NPL9+Qpl6Un+F0GwSG2qMNZg4gbEa/IHXkbdRd4vlbmSaFrzr8G6g2JmSEuexMi0LrtPvPc0nRdGMIVnBhsRySvzwex/xH/70GcEt/PC736PrOt5///0NVd17dWO4uX3LfB45vX7D/ee/oLR0xcPhmt6Cz5nQDXSdJcaFjMUaS8kj1SmdJovHVEc36IhUmvBS8DjrSCUTs4AEBK+NVTE4O/DLn/8GoieNia4bOB5PWmxGHcGnWvDO46wKE3OL/i0xq1gwg42wxAkjBbGiLiti6ExPnWdt+ownLorILaO+s6nq+3Z12LWiaKImFXuWUjnfPSCpcjgMPH16UGpPgSVG7u5u2O+uePbkPZYlcawTCSH0KkCztk0GmgVmFdRLvhRqnIgp4TqLq8K189z36puuQj21yIqp0PcBYwvGqisDs3wxnKjtaTVWcrNZq4CYSt874pL1ncngTa9R6q41nEmQ0quf75KZllGL8J0i2LGhwbYqjx4BZyNLnDjs93hrsa6SsmYSlFq3dVAWbbBMG7sXEa6etCCr2my+qo7TTS2QC6mUNmHx9Kz6o0YhAbxtIthaIGswyRMTSFTGkplroc6a9raaIVirFoRDF0il6D1HkGrJqZKMadSnZqu5RGgj+cd0GYDOCLUk7o8zXedx3pBqQ8pjaYJAR5Kl7SHaDGJpBaYmlFIK+XzCOUe/0/TG480d3rrmBhQxIhzHM/E+cnV9jTHaoBaB8fygBeQwYC04p8i4N5ZpeqDMmi7snWvrZYfIxPX1zIvnO+bzxP3xHa8+e8WbV++QCku2PDsmvvsjy+7ptTbwMVFTJJlW2PeB5RwZvvWU6yfPOISAlYBYbXgfHh4YQodDUXZrAxTLLAsQyWOh5IoLHlMqwTnOy0K1hf5wRa6Vu/kBi2jYWEmkmLk5TkwVHuYR6wvefjnfIkhp/tqVOWeOc3Nf2u/pvNZbcc7UnHAy4YywC45aMwt/x2KpazN5ljbWLTUr36ghO0uM3NzP3N4+0Hcdriohf0GoxZKLIlC6OAkWhfVt413KGjDinIo/mjhEzCOEgkunC2xdokO9JXPR0JLj6cTbtzcs08xheEquLdZZtPA2xrJrGxOzdoJapCvakFuylUgLdGgJWo/NtyuqNl6vDQ0ZsNZuQSZrcMrjcIr13LvgSbWQ51lT1HLhlEf1jraGIBYrotzL9tmuqGehNgtWjcRzS9kxX5YKJ6SqgoNqVQAhVbg+7JimsY2tK85arq6uSKmQ8jp+0TGWoop2ax5EBOuEeR6xTnBYxulEaFHZm0/wI3QSaeKyqtxJY3R0vy6ClIoLbvv7G4rZvs4laOOSbLdxb0vZEKo1OXD9DPW5Fqitg66VglIN6ooElkJq4yRxlnXeGExHaZ2utDG1yAVZXZZmOcRFxLPe4+058GH7DiklHYWLMAzdhjIsS0tjFLVI64zgvW0NhjZpqWRyU+mv6GVdG8OcqS3dScV1F+HN+qzpJq8FzPpnAGIN4zhSqtNxabA4b5iLhg3EkjU4xeg4WMfMqz9549tZ23yv1dpNk8e+HElez2e9ViVHnDeM44n7+3tubm749Dcf0+/27K0hIbhQuL+/Z/fiKRZVeHfOM57vSSlx1Q0c7+6hVHofNGo1F+K8AI1TVzQkyEjFhp1ayRmHGKfWWpiWAtb8htv5bWK3UpnHabsnDw8PHI9n+gClJuZ5ZkmKwE5RCKHn/v4Oi5DOE6F4/vhnf8R7z684XAnPrp9wfbhmGAb2w357D+ZZnUpCCDgxW8jNlPT53O/3BK+Ia0mZ6korLhpQYFYvZNsKkcs7+8V1oa1VaArg+uc5Z46j+jwvy0LJBtd7jKgFVG32f+pxCwS02E5r6IDT8IzGFw0hkOKkMbldp76sy8VjfH0eVrpDBkrO5Nas6hSlJZkaMEXo+8Ayn7lLI8Oga63vd5Ryput7tSJc5m0M3nVKD7i7u8N7T2ca5ajq3rJy/Lu+x3rDNJ/12rZrdPEF1+Z6GBy5RKx1DDtda6Y8YUzZ6BvreNsOPVoe6v63lJVnazBN3LoFFBlRL2GryG4YdhvNQRBSVN/9vg/yyAlzAAAgAElEQVQbLcs2MS25EvyeHCfSNNH3GrNsRcOAaO+qaQBRY45grI7ea21+zNJQf7EqbjWFVNQ/uZZLimUtmhop0qglbTrk2vqoUwVN+LxMpyreXPjVNc7EHEltPdfnVikij+3kNkFxy0Dw7X6tfybGYE3AlITBkmMTFsO235bSUNwVLKls38UihIb+Ho9KXVBrPretoY/PZV3rU0obcLM+69ZaxvPY1sRCEmn3aH3O00aX0M+KiIXb21s+O77mzdtfkcZIjknT6XJp9UpLDi7gBD1va5mnmTifebi55cfvf5vODyxLxEoip0JMC2MTLks/0AcHTplDKVesWMQaqO0+SxNVOofvekrW9N7gFaW/e7hX3//DfuM1p5SwvvvCGvP4WHLzNPeBvglcWac5RVhSopaC846cKiXmJozUNef3Pb4eRTJCwqm/oG0jyUUN+3PRcVhuaOgc9ZSXqNGZ1gXyitC2Qm9eZszugKtOo1GnRRcn3xiCghZmUjE0pK+00fF6SYxpHTU6giiZZUx04UCKQt9dISVj6gQZxEAIjYfWiixnQGzjH7auNOekwQqxqUGxlAzWeJwN9H3PeZ5Y16g5J2qx1NqS7IxTIUOJ5KIhD2tRtI6u0qxOIYcuNH5W0BSgVhQvNEXpGNtDpnGTJUZKXrDe6oJhDVIV4e+Cb79H/03fD6S8QMy4WrU5MahFktG7mmqBDEMfNlRNxS/tEldU7NNG8FIrp/MtH3z4nNvbB2LM9MOOZYlbgbp+T+NbU2AgC+qtuoaqPB4hlsrc0Pb1WKaZrg+bh+YwdIQQ2O87lmVhbOl+umBFHVsOgyLPpqUIPgqQSElHRZIKJV8SB60ItIU3c/FNnfMliVGF+y24IbaEvzX1kHLhBNe6iShyWnQzbDvShfeIFkNtwU0pkcVAZEuOLKVy2O9b85lVSQ6Mx6NaJ5XLxqRFuMFYp92+KJ9W70NuzUkl5cywH76AxoioJAMJzJPSBoylrcSVmirOtCheU5t/c3uGW/iDNAU/gHWC98L2YvzWkXPc7pkIBGc5n0/8+te/5nTzkttPf0MXBr717e+TUuLduzfkAsP+VjeO52qZZ6SSzhPUzMvP3/Kv/89/xdXuisOTa8o544cB33dcP3lCOOzIY2WQ91W8dLjGmYDbXZGNV8pJnDR9sBRy84B3IajlmLHcvn7NeRqZp4T3HX/xF/+Sv/7rv+E/+6f/Ce/uH7i5u+Xq6opxStRqyanw3vMXjOd7nj9/jz/505/ws//gp6TpTG/OBF/pjSNgMK0I9KHHOKNJVpOQl4g1ujEP0EbKO4xxjONILIXQImipWrTos9AQRkD5wi1tzRiMuG2KohHjj9b3WplT4t3bWw3QMJZ+P1CNx9kWjFQ09CgvZ2qqOoWrldS0cp1B3/XW1MWcCMbgQmCcjxQSvR2wIWwTo1VAlFsiWQXI2pSA2iL2nW98zER3tSOfJ07niVefvUSs5+mLbzEMHjcM5Fw5zspxDN6zzCM5Wa4OO/XAdlrA5Vqoqeg0AXXZMNHwrffew4nh7vYd3qzpr9KEUpnOZc6nI8Y4PIGUMlODSO2atqe5xWu/qt7Ja+Fn2ySrFaQpLdRiyLNOsmjiqLXQXr1s13tY8wIiGhvd3rPeWUpJPLl+Qm3pc9Vqyqtd73ctZC3XKe3eW1fwDUzQkJvSmiEtcJXnrPt7LZVsdnqPclFKujOkqPdJjKWIAgYxLW3ieylopUKQpa2HSl2IU2QSizEBI7bt9YW4XIpkDdHRuHIN/ILyiPZUhms6b/FtOikV5nz+QiGdc8bXqrqMWptItzb3BksZF3KMPN0d6LqOu/NMKeMW5BVj5HDQoBpype96dR+J87aW9n2vz5ATSkqcppO6bTTuecmZlOIXzktq5FgXfvOpQDmy6w48eb7nN7/6Nbc3b7khc9gFxnHkOkdMNUiJ1DwxPzzQB8/LV29479lzTIK3n71GbFDefXOuyQjjPLEfAsVaoiksy5mUoBPl3qtGpdIZmGPicLjGdT2vb+5ZUmbf7/n080+5v7vl+ZOnvHxz4vW7G+YsPHvxQl96SV+65u8O6jDTtyliaRb6t0npu8uSqcbRdwPia3M2cWRj1Y/99zy+FkXyilDUkpWPJYLou9K6SQgmkKqhlhYNbFqh5xxze5lqQ/Vq1lS8amzz2lRj+6VkIoUqRf2YRfAtlpm8IoIXhbAmutGSXAz7oWdKkfM0EQZP36uJ9fl8hgrOKIq3zFOzu2l8M9OQ1xxB6oUL9kjlC8qXEucxzbM2F+3CatWYbW2UlOsYQq+FTkobcrleS+80PSoE13huiTwvjCmz5DbqypmKa8VUJRiNWw5ezbbJCRcs3gaSMThriaWQm62R9Y7qwObc0Piii3NWrp1+v8JcM+UUdXxkw/ZdtQhb7cEytZq2WaQvFFqKUGsMrYjRLrgqaq1uAAVpi5I6RsWG9rZn6xEq+RgBvRR0hZRs48hd7sVW6NpLIfz4XklVazXEaPFq0SlFOy4K99X+7KJwXvlT1mr6X3k0CdFGaP39hhQv0dHrxj/Ps/rf1oacG8gtEje1TUR5YgZpdJHHC+jKx1qL/SJaLDgrlNxQEANm9W0thaT4ESKWUiKlORwYo4XBF9D9dv3GcaTr3TZhMQYVuDQUyrQCf6VKbFOClvQo5YKurLzDrwpKuvB42/+MVlW//vgT5m9d8WQ4UFLk4TiyLDNzTMT7O54/f87OLUop6gfOx6Ne49PIv/7Lv+Tu3Q0//cFP8V0gLTMpZ27fvtFxcK8TAOsHak7EajZRWWloUs55K5ILyosVsRjjWHLieH/P/f0998eRXOCXv/wlr1+/5jQvvH13z3la6LqBmCauhwOncaTve8bjDX/4hz/gex+9x3K+xdRI3zu8wL7f6/3OilLWVKn2UkyJCPu9/p1lWbQoaMltJWk4R815Q2VFBHErGgfKl73wZNf7syJkqXHapTVx6+eM88SSCkuMTMWC1+axiGmK/CbwFHVxKKKeq8YYzJJJWalrztmNZ78husZCVPRDm3FdK0tBqT2ogIyG1GUqzlymWBhF153z2IPnYV6IKdH5nlqX5mixxk6rODGWTM4Rb6w+qym26db6/iqXO6I+sKf7E8bAeZxxodfNBUU4EWGaRkoTM93f31NKpTRvbUTf65R1nViSRhiX2gSxRm3NdJ1qa5SppBQ1uAFpNnZt/OycChUB6y/NjlS+YMsoXNZiYx1d1zPnc5sytXX80TOgS2Jbb8v6b9u61lxFalFHFpDNVUEfAWFduB1Q7WUCaBtoU22jIOrqpkCOCLZMLd7YUi1YqSwoxaOuVnzOkOM6qRZ1/DEGrN3WMYoW91hLRZ0xUlYXhc51G9jyeD19/P/rz1daXow6TTZ2aLSc1SpP94Jc62XdW5HtrIjn6rFuACvqza4phUXX06rTpoomE8tjt5ScWeaR49jz4vqKtNwjxpOqTsUr+vzGGBXMQ6gxQ07E8URvBl5+9gnf+c73OD+cSUvCdoEiGVJVGmHKGCrSQLdalFNeS2uUxWEbyLPkVqcIzHNknLXwvb295eOPP2a/G8BaPnv9jrvTmTkauu45c1zw7ssr2r5X/+oaF21umlAc6ShlBbHUHtQZT62GcVF+vfsKK9EvO74WRbIBgqlIURytZPX8g4q1QsyJc4IXV3uWlJgyIIZ5mmBawGih1VldpLuu4zhnoqng13EOeAM5FYpkbMsnD3avaElLYKksuhEYIbWYWGMMzlum8z1hd8D7PdTENL1j6A4E11FK4vRwai9087ZsNlEFyETEZZyz9P2eZVmYp6ipZq2rLFVRc/JETWr/tGRDxZPi/Dt82bVYteI230kxhmwsc4qM8xERyGlitzuw1EgBOt8RvLBkLTBX1NEiiFUFdkqRsizYviMEr6peAfGqSo0xUdq4JmAodaKKUhusN8zzQq5FkfKSoPGTa1WBlkil856cS0vfyVAq3g28ef1OvQ57z/kU8Z1jWRqqIGsQxnlb6CqGlKKiJWTd4LNSPQQNqFkpI48LTm1W8jY+rfXyOzaEpUKwBmtE+VqNRzwZi5SL32etVcdL7Vj9vWm8yL7vKdOoC6LYbTSkFBOHBXyVRxubUh2s2M27U7/LRRyj6LQ+P1PzBXXeNK61pYypIbZWG6MYcc7ghkAtsJSEsWqtNgw6KaiN8yskKp02rAo7Uqpy/m3zsE1N0e29x7dnzzwS44w2a5NY65Z+hSiFolYtYGJrsuAiRqq1baytvFl5hjEtlPzlnOTKZaMBeHNUr+C//fwdUYRv/+wPON7e8O44UnNUX2AKt/d37LzD54iXQnLCcp759NNPqCL8yZ/9Oc+fvsebN++4fjEwzZFXrz9nigvf/vYH9NYx54T61S90Wacja6jGkhplBkMQ2ca15/OZm7t73nz+il99/GvevL3l/jzy9u0N3/ned3n59szLNw+UbInRItUQl0zX7fn1Lz/mgxc7/sHf/zFXLjIMwjItLMczw9WTFg5hEB+wIbRCZqFuTZiGahhjuNrtgVbHZ6iHK1JeWnGfiY3nJ3bAWrc9yyLSlPt84Z1ZqQSlQMor6ltZsNzcPTDHhZwrqVRO0w2gkwPnNSZdWmSytJlezeovLK2ZluaXu/MD6TyxLDNPX1yz69WHOZsm/qzqRoEo4pZrIVi3OSwEY5Aykxv9Yb87YKtjKhqU0TtLmkbuP/+M7npgv9+TrduoWEYqh/2AiHA6nfR9W//MOaWn1KpvURjoBkNZFhYq18+ecjqua42O00UqOVvCzjR0OWvTX3V6o4Bybdz8SmahVvVgXveFknTN0FqzYi1YXxjPCcHhvCK4V85tI/x5nrdI+aUV3BRhNZGKRveZ+V4b8/1+T85us5mNzUpLz+MSPWyMsOSpARpmowVWLsh5QUCan7adCN63ZiPjLFjX3D4EuqFHnFUaUK4aqtJ0R1WgjI5c14Q91DHFFaQOlCy6f9SIiPvCOiEi7ILf6E8r/9sYwxgTRjJjVR/ihUL/KEluPeZGNTMNTNrWa+8JvcPmzGkeuTk9cH31TGsK5yi1YrzndGy6EyoPD0cVQAd9UL9A/Usz1ISXgrMGatSUvEeF9rLou5ukJ5P57HbiYc7U8wMv39xhCNj9U/qrHWa44rAfmM5nSs64ZSSdj5R44jcff07wlnE8MdLj/MD5fA/WYQ34nPDLmWRgcYLEiB0qmICpMzVmqlhMCNRsWETY7XZMc+ThdOTu9kTMhV/89d/w7uZzfvyTH/HpZ6/55JM7DXmaZ7KoU810fgCe/c6afzzqxNc7x5Jmpkaxs1WnRdqMFMRpMJUzlt52Kqf9f+GS9rUokhsjeRsBltoW34YkkETTjrJuOtXpzwcGjFTGeWIl4+vHqX+gbCICpYNaa4klbzxSqTBNS0OeVsuS1iHaVivTvMadwfaBJSmP05rKk0MPi+Ew7Brv6B6RSk2ZYiyqpJS26QuKTyt3C9afXfjHpehD7o2+gOoIqiPPdVFb1fsaV8k2Wnz8oqiHY4ay4JuwYrKVSVT1H2wPiI5Y1nF9Q5Jy1Hz7odtzPh85j8dW9Gjxr4bu+vtzga4qcmCMIVMYpxN7d91QT9BYSU/O9XLOkrSpGQYai7Bt3oo+hy60xUEYhj2FeBHqNZ6Zbt4O8doRppj0/ImKZquZrzZC7qKyXa/74zGjacjtsqRtsdz4Yu3erQjA1vG3z1vN0AFquQhs1t8nzcKn6zpiiyaWelkAK+sEwWqHLhf+MWgQw2Ph4OpfqUEPgm3n4FsC1PwotrmUQh92DdGYyaQNvdXnZKXwoC9IqRfhTSna2GGxXqOaa4sStU4Ro9REiYoJrSCjcpRrrXRdx7ygaviGMqVcodJ8TwF7Qfqt103KsIYjaJMpJkPjLj7mkH/VISIcrq5Y4oz1gZevb/irv/4573/rOR++eI/T6YHXn9/hnBY4035PiJFxmjQs5c3Cx5/8mh99+ENevHjBL3/+S47jRPF7llQxw4FlWZjOZxYujRtF41vTnPFBBcNFBzcaqCCuPR868h7HkXfv3vHuzVvGaWE6K5c/hMCrV2+4uz9hJHC81yL2lCb2+ytKSvzgBz+g6zw1jvRhIC+C8UHf0UafwijAEHOCumxpdY+fsdrWFueCelFby+n8sNF2YoxN/Hy5tvq+C2VNjt3WHm2CjbOUUok5kyrMMXNOlfv7ewUGct0i0hV9VvFfKZW8TnAaUh0n5QDrTqUuI4DGOVvLLuw4n8/MbX24TB0uQILBUJK+Q6tn8UolUZRQFOGvQqH5Je/2yF430/E08eTqGoM0nYZFxG3rx9XVleolWogIVmkGMWrBUpyDJHQNnby9e2Do9s3+qm4TrVKtMimEjTddi9IRadSmWDJS1SXGGLc1n6XqeyMrd1/0WfSdJzWRn3NKR3AiOCNYIyy1UHNSxF8UpS3ouglsSOj14YnyquNCbfdIjDoLrM4axdJQWgVBUlndJkCKAibtKdJoenRPzKVCSbC6chtFJ+URSqtrln5vh9A3f3bWgtcIJRel1ohgnVLLnHm0nsVZEVjas1FLs2Gk/T3l5OY2naUkKJpQioViH+kwHk0cc70AKkZWPUdR+8faqIjB40RRTazZbO5Ar826nuect6jv9fld12tQsV5upgMx5wYQ6vXJOW8GAKek9nLTeIOkhWsniIw8f3qFkHj67EDolUJ4Pp9JMTLUxDKeKHnm4eGen/z0j/Dec5rh9uEeYwrG6aTYUtmJ4WxEaZPb1K9CVSGilYJUTU10/Q4bWrhLzpynmdPxzNu3bylVz/vufmJZAOOaLZ/GwN+8ecmXFcnTeSYExzBcKTWrqEbA5o6p0UKN14YwN2TZuwAFzo0j/vscX4siWcQgJinbrTiC95Q6qiF0nPGADJ6FBdOpAbbNlWmemGPE9dpx5lKwxpLJWK+2K6ZkulZwxHliCJZaHeJ0MVjmqMW4Ua5kihFyofM92VSyKRgjBDL0gYE2UqmGmCu5RJaoL6bbN7FFEQbv6FrRPy9ZTa1jpZaMtYu+wN4wtVQo9V1UNM1I2DapfeMVS9HFh7IgtWClhTLEBdO4slq8W2pJIIZiBlJBOT0noSx2e+l0zN014n7Erob/y8I46eSSmuk718Z9tnF+VwqDEKeZDCy1kBvh3/kDMil9ZikZkxOxjWw7b9V6J6rpfIw6NqpAMTDXTB+uSClCTcRcSPJAyY2vWPLGy3X7A1hHTFX56rbQecd5amPt3m8erXNK6vEpF+GZlEfF2RouUC0l62i2FC3YV5Tm7uFMCIG5qZprHlvBrhtPrZUcL8ro9YipUudEKmemSe+17duYL0eNO54jNguCx2LVLqeh+/Oskc8iOrqLMZFFNgeVXGL7j0AugpcOKQJzYTAdKc9qtC+ozVqtpExD5Px2vm9jpisVL4rolSqtaCgQk4b9iMFYHTuv5ydNpFWNU+SujV4BqB7nLoW/iMMkPZ9q1A3BYChWN1TvLcE7jXQ2KL/bqOjQe8+cHP4rkpKscZhSKFWLwjme2n32VCy/eHXi337+wPvXVwQL08OZGGeO5cDIA9/bPeW5nfizH/1D/vd/8b/R+2uKc/ybX/6ccYwM/RV/9YvPiDHyj/74TwniGccjYiqdDxhbGeeFabHshiuKv1JqzTLTuDgkhN3VntN54t2bt0z3D3z+8JaJzGlOjIvg9x/y6r6S8j3Z7hinmWfPn5DmiXQbMfXIf//f/Rd8/9vPedolejfw9tNPkFR48cGHhMOOrtfnOcVxQ/qDVxcGSU1Y1xrHYj3ZOcQ1Kk+MYMF1ipiZpMK2Puj7BOr5TBX6EJCVKtFS1tR6rLRCqWCNwZSCnOGTzz7nIWfmYslVcB6srS3tUdRGLSq/0rXPoijKHLPyXX3zm7U2b6Lr0GgaS53waGCEMYYlakGdrMbTSouyDp1Qa6ZIz2GvTeiynLHWctgHdoN+90PoFCUWz83NO3b7XiOrpTA42VBLLdIMYfcUMZXzdCTnCq4j1oyVSugD1f4/7L1Lry1rdqb1fNeImHOuy977nMw8zvItk7Qo7AJMuWwKUQaVRAPxA2hVt4SoBr8AqcAtevwCkJCQQELQoUMTYVRWGRcYVyXYzizb6TyZ55x9W5c5Z0R8t0FjfDHXOvY2WHQ4QEZna9/WWjMuX4xvjPd9XkdJiZTAnB8B3SBv+z5xSvjR33QDkteJV+rmst1up3+eKiLl0gQppTCNauqeehLhPGfKkthPGids6kL0gZ2rlHJiTTq93N1c6fR1XsipaFCNV2oOIWBr5Zy0SB3HkWwarjSisQxmwERLlTNi66XQK6X2EJCKswMhRHJWw7afBmywWGdZc6bRsPnIec19g2MwpuD9U8d34w07X5S9HCIOg+QMtWLjFSEY1nWltcb5tJCLxYWH7mExiIwUakfXqSo6FQ3hcUFlkLkJuWrjKa0NSsJ6x+gDNWdOdcEZnd4aK0RvOOrAgiqNpUsl/agTM2csNHAScT5SpOudS0H6BLNJJLUCptBotJaR6i/hSCorrJyP3bvTKkYqk/dM1vdwJ53IhiEQ3ECaZyYc+egBz9tUmMY9bz69o7UztacnfuunP4J65Pz+c+bzEUmFz7/4MV/7qW/yq7/+t/nN//Ef8nv/8+9xdXXDN3/hG4xxYOhIzB+VI1MIuNyfQzGEofJwWplsxgWLG2/xcY8dr3A+sJ50XT7evefTH/6Y7//pj4jjjh/efcp+vGIMB/wwcBgmHuvK3fu31L8gTeRw/RIRDVuqNTPnRlvPxE1iGSKx+xIoOvWMQScqu5sPp/h96PhKFMk6Ku0FngEjaqbaDFHWGWpdUat7d9RayzhNjOOIGC2A5nkGqQSn9lopVcd2F2SKQt6rNFqPl5yu9Pu0oiD7w9VLgnW8+fwzrFisGbDiqdkhbtNylkuREOLI0kHmG2C8NjiXlbVlrDX4MBI6Kgiegg+stYyD/nlO6bJ7tH1cvh3Kkv2ya/u5dGBbQDfjTC6bJs1rJLF13E7XvD6/ZhiiduTEdjlJwRlLcNpRrTjENDJo4d11YrZtHeqNwKBUj63gzr2tdBP32FSpKBoMC7Z3o8ZxwDrI1vYFYOP3NjyGaA2V94oXqxpj3FKjWa/FVGt4VLtmmqMVoWAwcQAnFFM53F6TUrpowrzzF0LDn+22a/FpnjTiLV+K4q3Qm+f5YnB53j3wXjWFaesWNZ1CPO90blSMP3uNJBVwjiF44qVjICypKuz/2c/onOd4nvt9o+Pm1oTTSeUm4zho5yXoM+A3jd7mjixdk2xVhpRzppgedDFE7OYiFtVu6qOj99aynDFOR/NYS66aHOdiwLTGzruLJjD0xLFNatFaIyeVpuzGSbsVtRJDxHoLnQ0szRDHoFOGVlThVosW9p2xa4yjGX0BWL68CdkODVa1gMcbg7OFOa1M44QPkXNJeGOo7Jlz4vFsse7AH336yKc/uOe73/uC2xc7fv8PvsdHX/+Ij25+gePjA3E48Gv/2q/wgz/+Uz79nQfmMvNHn75l//6Rn/m5j5mmkXG0YIR5yQwxcjwWPpr6ODgnjNXo3SFG/vQHn3L38Mgf/sH3WM4rdYyY6Zq3n/6YOBx4eCjsdo4WA1kcbhg5nk+cHh/4xW9/jV/7G7/MJ6/2TLFQypnHt++wOXN9fU2MA61BtJoQlnPGxAB0Wsqzztyl62oDoW+WDRqu4qfOhW6NUTa9cbx4M54Mkk+6zFaV97r5S7bnpRm4v7/n3fHMm7v3VBMpWJpxODORU+fXRjXPnvIDu3FknmeKCLGzm7EDYp68BdZaDROwWxaHoaRGGBq5LOwP11zZbs51ig9Mq0GaFuMiGg9da48hjxoyUWVV7Jy1xDEy7V9y95h1ClIK798rystcqeHKEDS6WgytJsVPRn2tDtGRcw8ktyqPijHychpxmIvMYevY2wqub1ac0+cp5YJpMHTdvhE1vI3Xk/oisgZRDGG6GNhbTn2tK4w4bvd78gBv3j9QRQjdMzIdBkZjuHu8YzkeGcaJJo3JDaxLVdxo1xfnRbXNY4jk6tmNI8t5ZmbGDx5f02XDLVWDcazrTaNloZRG8EOfaum64HjySyxGpx/OBwbxGDFkedLRS+c9L16L4/OSqSVjq+CcZ5cr6zOtL0Gj5UtJ5NYoq2JHsV59T0BrBpGCE0Nai04fnaWKJaWKtaN2y+s23TY0yYgUhmnEB4u3wksXSZvcryNX6T6oStNsBxEluXTPTYyRKY7d76EbP2MdIpFhiNgKtIb3gdjDTmqXdYxe64P5dCZ3hK1zE9abJ2429wQDWU601lhLhWCI9YAUyw/+6J6H13/IYEb+2Z/7GmN8wfntPae7O0Ic+e53v8tn//F/xLu7I7e332B5LHz3d99x2F/zV3/pr3JcMrubF7RTIq8N4xISKjVl8mnmMAU8Fmb1RszljAsD93dnfNzx+3/wA87LzOfHQCye21cvcWaPtBGXK5Iaqep1v7q5/uCav6xnnDO9uWIJQYCBddaGWl4L4ntnP1eyJMq8ErxlP04f/JofOr4iRbJqLUFRJFkg9IXwsN8xDIFxinz25i0pJU6PKyFE4qBosBjcZUR3+ZrGIKaPy7HYbqpqolgQY8zFnOCcU7A3muSzG0aO95HcpOtHLbY5UtFRkBZaOiLbHvjWmkZNGkPcHdQcIfryXkvW4sJ2kLkxXb5gLuNEYwyxY7hqK12HqSOgWkvP5OHyktoKbd9Tby6LyaW46sVK746f5FGLKSvMZ2XsuqB6xBgDzuiIzXXDi3MaXIBViQcpYcwWIwkimdoy1ikerNXWr5/GcraeQqU65ydjlrHmopndfu5StkUTSlPCg+kGykpnNjrF1kW/0R4qDTXNbS+80hSm/7zItZiLMQM2JJRcvvdzfVrtO/dN3vC886yf+VlnozUwlSaJTZV3Ge/2wldEyP2zPf/+YKlVWC8aQr0ftozMhMAAACAASURBVPCNrdDWjZTXcbDXX7UQ7RMHy5e+11aEq/FSU7ZinHSBFe3qtdZo3m2KaYzpODYXLmQQeMKUbY55rF5HlSaJalp5GgU+vy9FtCtjm/7Z1159xOv2Wg2utRtMjMEiNNtwJihrmR5nikpH4qi0EUEjbl1UzNaHDm8Vh+Scw0mEuuD7+BjTJSHGUOqJq/3AfnrJpz/+HEPjanpFzisPp8xv/oN/xN/4l/4a4/iK7//gM3JeCeM/5fUX73m/Zs7nlfz5e4bRMd1ccV08L198nZvbPWv5McZ6rg6vME6TDK/dTjWGXjtpf/rDH7Pkwg8/e8v5eOb6G19HJGCHPYQJ5xPORkwINIFp2vHw9nPyeuJf/1u/xs//9DeR5Y4hGt68fks+nnhxs9emQpp1xFtGTfOqFVsszbeLGVLYtJR6bYbDcLl22zNZkB5BbPGDjn5971htBfKmf3TO44LXjmrboqC/zA9f15Xz+awTQ7ToECP96XQXo5gVvY5DCEiXFzmjEojcpUG2IxNFGruuCc55xVp48eIF0jIijWkaLxipXJN2vHmGhkQIUTW5peq6b51O2J8/73pe+lrUQw6cK1gyQ5yUTJAXNShpQ/kyfhcMVtNfVFogAp2ta5oh9DRMXbPlYpoLIRCCRUQJM9vP8bQeWaB2X4XpCK+GCzqBSt2n4GPoEiA1TLUGkhtz6nSHPoKeF028mxeVV3n3tGlJecFaq3i6LreKTkkmYYgqqWlNg1pQskTbIu6772OImoCn185jzVPox4bWRCyuQXAR2+PDt5CKbS021qoWFzBGkwmly5d0I6X+DpzttAfBjSOklbqsDMNAFTVGipgux7RKfmmtW5Ndv16qnTDGXBCVzXQIQJdFNrEUKpObkKrmN6zDWyi5h3S4AF4JUWKgNJ2iButwccABeaMpdU20aun7PSdNyTHPUgrxHmMDeJ22bs+ZQ43EOpmORAumzIBnNIFEIe4G8jxixoFaMr/1O/+YGP4FPnl5YH/zCUv25DLz8iPPeTnz4uVHPJwSwVs+/fwLrq+v+fY/9x2VTliVUsynI9Earvcjg10J0VKYMSVBnTAtMK+OwcDjaWV+v/D56zvEOuL+BcO0ww8HjB8Y4gFBzcRrmmmtdMPpn0/cU2qKGsB1kttoOYG9omyIw80MbA0t0SVByqT+yx5fiSJZCwsd74oRxTBl3b3PeWE5ZY7GcLi+IjvLmbUXR31317uYIXQnZUo4Y9XAYgRr9KFQOYFQcsOGiLGe8+lRXxZBXbrv3r3jHkN0OuKpJmHFkvOJZh0lJ0pZ9MVrKrbRtbaWIY4Y43j77gFq4eXBM4xBx0IGqIYtqxxUv3Vze4WI8MUXX1Bbjzp1qunbujXSR+Rb93nTJW9u2a0o3MZuMUZs57RK09H5WlaG3dB1eXJBqqkxQig91WYXgnauraOJIRV1rJZloTUuwR9bUW6t0gs2Fqz4gsm6QA3W4QQSutCdc8I6GEK4FJOtKR/XdF1TEGWnNmfwTmjWkG29YIMGq3KHZipY/dq5JYLvsPJZF/VhGJBcqblcup3PX37b7y/c0T6W2XTfz/WY28t26wzHGEl1ARLGJs2dt/Fi/NiKRGMMcXoeT9u/79Dh/UmdySINpBFM6GbH/nMilKovuRBHnG+cTie88wzD9lm0aLbbgt5To3Sg6HFd27guCR8C+/2eIu1SzFoRbMtUp4xq31/Aei4MitnOKM1Pv2dtoiQUH7CbvvhCO+ByjhW/t/Bwd880jEht1LVrY512zVqrtM7CHcYBYyKmb3ZsU9ZoRZCcsSI49+FO8hgHvNGY4CqCiwdeOEfrBIKpqt63pTO2wr/79/4ub9/d8Z/8Z/+5JumFgWI81X3MP/jtT/nv/4c/YBgtMTh+7/dfs5v2pDFTmuX+IbP8+JHvf/q/6j18OjNOnr/+K7/Exx9/jDGPDJ38seZKacLxeOT96894czzjx4k1BcTd8NkXujGU8QWnlBh2Eymt1LkipnFOR37mk1v+2r/xL/Otn/krlPkRnxfevn7Hklb2V3vc6Lg/vWH0jh17zg/dVGcNiYo4QXLnyLNJZbTgPflzH/m3y/MIXc/pPaEXKjqB2xjhfS3iaVO3beC2gq/RDWxdKnD3+XtO7xckwRQiq2joR7OJ6INe5VqYJi3ar68PF33lfj9BH/Gez2cwjVoLy7n0jagWQPv9RG6GcZxY13RpIOSi6YHWWKxvDINqdq8OO969e8c8z3qvSyUOO0DX9FJVljNOXXPcGmtP5nt8dDRZcR7EOvzguYkTQuU4P1KrKGu+VXCBYQgE65R5fT5ii2qZn6/n8zz3TYxQqkYn78bpwsTf/BHBB2wvhtxOPRnLsjA0XTdzFpoRhmHiNC+c7h4ZYiTuB2hC8bpJz6eMxRHjx4yDI3rXUxEfgYr3pseEK7Zw06wvHHsQUqCWRhFHQVQq5gK4hqPi+1rq7KASnC4le1xO/f2hBbYWdYqwM76xtkqVitskfFGlB0UKfuk6+mYY/ajddGCtulaH3agNslLIApOzuGFktIbDtCPVQs59Y2+UAFSbRobr5sbihogfDa2oabXmhmk6pbNtQKpOBnNRucWyygXpFpy/bPpEfcqM4+6S6kdUFnXpz4x2zw3eO4b4RMBY5hnfY8prFWzwmuaZM6e5YK3gxx3tfKIVNb0rOWnbYBjGqAFXiMX6kWFQ+o3lJZWqtK+c+e/+4feYT3e82Eeu9wd+8ed/FjcIOb8GiXz67i3n5Y4f3h1p5ZHf+e5/wXe+/XP88i//Im6IXI2vECqfPT7gl4XzMnMdB26vrvn6q48w8Yo3X7zn8fgj/tE/+T6Pc8FefQLGcXNQYgvOdpncigkBN0W+fnVNLmt/b/95o51Uz3FdMS0zxoATT02VYyjgHeIsMgwUQJzDBk/NmWYE9xdMJD90fCWKZNh2Qlrpg1Mdm0HHHD017dSdnyHEHtygXa+Lq9j2YWxrGK+Fg2Uzb6ihpDTteELvY/TdWUqJ4LxqJWqj2UIxghtGjDSEhPdXtJ4XvnWExziwzgvGgOvO2WmaSMvMnDKYhhtGRajVLwv/NxnANpJvTdOflpSeXNS9gxCe4biem/W2h+p5B1MLCdNHRL0w69/3MupyjtK4dMDpWJyII+dCEYP1QccnrV3CBzYdb4wR61T7V+VZ4IVX3aozhmq08N0QQLqp2bqpCr533hB7QdFqxeTQd4cWjGLVSktK4aCpcE8stSRlRhu93rtxZDcOYDR1rqQMrRe6bIapp+J+k/Js58MY7fyN46jXLyVOp9OXuqSbqS/GiBVFCanRQ8dp28vuObbsudHygoBLa+/qPdsIIRdD3/MOtrOO0+l0+f6hb2LMFjvdkxKDH/vYOwOmm+vMxdQ39o48qJFxk684Z2neUowQgtekOim0tWBE0wD1XoUNLCG2I7pa6+ZWc7kXt3NVq8ZZr+vKmzdv+Pjjj3XzkYsWcNvnNIogbK0RvOtOf32hONHpkO8scDHmEjjyofVjO6RLOXwMasixFWM8lMTh9iMe797xX/2X/w0/+/Pf4rC/4Xw8cTjsOC+ZFy++Tls18SznE60VqI0Qd7xfX1OrMJiBpYB23IESqEvjN3/rf2IYIr/wC7/A/eu35FIwzjGNe2zwSDrh4kDKjWajnrs6kMpJGetkYgyc08p+GsitsJwf+MbXfp5/5Vd/lYc3nzLaxpsvPuP48Mj17QuwhbVk1vXMLuyp6US213o+vNOo79ZozzrJ+gzIZWM4DNvLuF6e5y477pu4J4mXTqd6J9BuPN5yiea9XAOjBrltTSpL43xUF32MA7nmJ/xhq5RWcBbFu/2ZKU4IgevrA6fTibzMes43TX5fS0RUHjDPWnyXUtjtdNPknRoTW1WTsdb9T2vZ83tIwze0I9dfJZd/s4U5lVKQFskJ5nm9pOMV5xBpl2e91v5Zts1HxwOGEDjen5iGnZqbu8bfWqtx3iKX7vD2tbYwkUv8ug1qsLM65UlVzXN2UA1+lUZuBuJISQsOYQyeVmpnT+tnRRw0i7GOktWXoUanTM4rragBN4SgPH/n2I+Rcm6AoaxgQ/eqOMcweKDhRK9nrZXj8QhYDvtrXTuTysc2K3trunlWOlBTLBrQ8goEtkRVEaHlbrq3ToMpjL1MVEuttHUlDAPjbgIz6CSiFegUI8yToXyTBRmzTeS4XB/nHOI3Q7p2gjH9vd0bY90OSRgnaKI3S9WAqNjxZK2C+F6nGJQwYxVFJzrm/hJ5aXvWQoy96FUpo/ee5nVqG41GpLdmOBwO+s4pVSlO/etYV9mNBgm51wIBZ5S7P8aBh+UI3jKOL3jphPl8RV3OPBbLj948IDWxHxqPb19z91j4/O17UpiYxpGHuwd+93f/iJIMh4+u+KXv/DO8POxoppBbQYzFDzvC+IL7Y+X+/I4/+fzHfPHFG37/D/4pzUZ++tv/vPpQJGOdsN9PlLUwH4+kvnkYRo+UShw88OeRbdN0Ra3CclwZtvC1pg3JC/LV9EkEGueemsaF76f/l2mSDWgmvRjIBSO6i92KDRsGotfOcOrxheq4Vo1w7vHGlIpJBREoUshVT0h1Hm8svnlSXgnDnhC1w7ZHOyRrNYhzeIqOY1zAG4NkfWjXlHHyQG4WHyZd0CXTUuGTjz/CD5GGxha38z3jqKMlEYGSaNUQTNQkOh8JfqDWzGNHmYVBH+iU0pcu8hC0wFuShjf4/ufbCH0KXZNqesqOreA13jinWQ1QpVCqUJPR2FJbWesCWb9PRTFEAOe64KPXjsmaNL2pGY6rFmMxBAra/XIIeV2wzhBiABrLcb4Ud6xVO0rodcCZywtHREhzTxhqDqmCc5HstIC07Wmnt22Iog8YyZgqjNeHzn8uDM6znoX52DVK/T4JIeBjIC2rTheGSOwLqx10dBtCYM0JrGHwljWdOc8n7ZxWlcRsL+KNPDDPM8EGnD0QJSCuYgO0WhicQaxhTXpdlx4+EPyAs1owm1wvTE9QF7rIU+BH6VosLVgK035UiYW3UAXrY+9s60KZS2VeHi8vUhGhiHaAnFfXvPedgYoFUwnRXygAg7fUXGhFOeLeOqYw0ejEENHCM4gu9C+uX3B/fNT7tKGyJttfBG1LRdSO/0cfvySXwpJWxFjMoLGhN9cHzucjy/lMdKoPKzVhTcV4La6JkRi0sMi5qVYvfNjEgVXHfOld6VYM7TQzeIe1A9kY2qisdb+/5vs/+BF/8qM3XF+9wk6hP9eOSiEcAsF4QgtPG7oY+cSEbqgCbrtpE0uaEzFaRFZqzXxxt5DMAemmxdw8AwNLdZSTsuClEww8M0Ow5PMj3lmKybidxw6e9599xne+87P8W//mr5Pze15eed6/e8P98Z6vffSCF7d7cjtzuntPW0/cH++IzmMO6gqP+xtEPNQBsU415qId4FZX3Tz5lUW4dI23DUrw4YkhD2RTcb2Ic1aDltbcC12xanjqfDUrgh8ioxsITj0deS00Y9nt98TgGOdEktYbG41h3DZHq6aSOcEOjhgnYow8PrzHGMMn3/iYGKMWmo9aQL6/f8ecZqx1TDtdF5wdmOIVLReSUzPUeTn2Demg98y6ELznsL8lNcEENVtlAUXTCcNuumykRYRxHICBbCzruvLHP/wTrg97xVvN72kVpumA8xOmVELQwi+tZ3JxWOOJJnDYRfJ64pgWXr68RVpmCnvWxfWufMZbAR9UU21Mb9BoEXbquuOUtdgfhom5LshJO93GeVgrt9PEGpSmMu73JJdZZ9XMmqgSlFwWajXEqXe0l6TyE2PwRtjtJpAMKO/eM2DDijHCKzwpV7IRlRmkfHlnz2nF+4HxMGmU97KQWsNZj6FB1SAqK5bqDkTvlDltlRDlrMd1o/bGoY/jhnAzlFopCCEo43/XC9wq6qcYrQffDcMYSIlxN7KuuRsKdUPke4ptKdrU0k1LwvmpwwAEG6J6obylicPEnaa5SSOLIQ4DwTq875hW4/FSaOWk500cEU2RNaKUhYZoNLWZdC0Xj/OR1CoY0WLTO+U2N8HFSace3cicSuaj25e0VkjLovrrtCACu+C4utoRowbd5KUSzYgLjmmasEnX3GAr62FHyd/EBEsuM28e7zDG8SABriCMhp/5OkhQGVZZEzklPr2fOX/+lv/9+w94C+v8wGEX8S4yHa6I8TOs+0MNI9vd4OzA7Sf/IsZ6UnFkaVzFG6JptFOCapDdHlc1iTc3h/Gec/lwmMjd6T3GGszomamac4Dl2gzajGtCyTqZSXnBGMPBqzfkwoL8SxxfmSLZGmWIWnSch9Vu12bsQizjpHzO1FFiF7Zhs1iMjqhEOb9JNNHrojt1hoohJY3FtfQwBW8RsVA1Kah1zAzYixFvXVeGIbKWM0JAXdKoVshY8rxQc1FCRN7Spgx2S0nadJqXaM2no7V22QECOj5qOg701vSXvKX2i+0UCMQG0NFTpTicrVOrxMWuL+4d2aWBRjFq2SqtQY8g3oIaNMil4mzohUkGW3AuMG3GEdN3uz2JT0RH/CKpdxN72mAf0+pu7jma6UmPtrWDtmLNWotpqjes3WFs7QaPl67pAovgipBTJedykTZseq5N7rDJI3wMX+p2D8Gz9vPWkEswQSn9BWMc1llcN0wY67p5tJGyFvHGG+0k2G1DI/geliL2CXLfKr1j5bvkJz+7+lpYWrMB+RWX1HKlUfFhwFrHhuS0Dpz3pLVc9MilaFdwK0qN2Vifnb3d7//oY78WBtN5x42OJ8QzDkY3IALQz79Xhq0zuviI6DWQVvTzBo8tinKzwVGM9HuiYY0QXSAlxTOGnti4rCvOG67arndt/AWbhNEu1Ia4K6V8qXtnrWVelg+uIdE4slRlcFuvz3vXDjqrEwvTzYWIxYVIa4YlrXCRGTzDO5ku4tw26sCaW//5XJ+89E6nU1YnreKHqCNq++WAn9Yah8OBeV0opWJ9JI6DsohLwniHN32j4BzeGr75jVf8rb/519ntLG9fv+fui7e8ffuar330iqsXtxAMfs0a+2s9WN2kx2WhWQOjYsKMcTo6NobzSVFp+92oener8b9Iwxrt5EpOl/vmIlHq7FwdISu6EurlnOmzr+dwwxFu/zfGSHOVLFnRbSFQVgjBUIpOmjCB2nX+emK1SLVOMLYhZKx1LOuR128eubm5wdsbvPfc3Nww5AnvLefjgwYo5UwqC9IgjGrKG4ZNKqb3lXEOsQ4xFWtdN44LzhhyTtAgxKfJyLZG6fNsGGPgZIT7+/cgld1wpRvL7d+ZqsZT6ciuVDCmEJ2e23EaKHXzLAwMu4nzcsJ5T60JaZnRRZzz5L7ubDK5XZ/srYtyp0N4KiQ2A7e3qtd2xnDOq/KvSyYnwW6oU6kY29dJMTjjkDAQOus/uYRxYMVhRZMYjVNEVxgDb989kmojWH9pgGz+CzsoEWXcXcGycD7PuJ50Sq1Yb/FWfQc0uaSYSuvSC7GYjkuzVGrO+OFJXqKbg6fYYm/VJ1GkEZ41Y7bYa9ONdaZPnHU2KfihT+coiFhyU+KG80o+ChvSMkZyKTSxtBigVaSu5NXSROk1xjg1zOO6BGOT2wmtCib2jjFQtJLDWv1MDafpvQ0yonHXFqI3WG9Y1xMhOIwbyLkgzXI8LbrW40A8Pkx9speYk2BcxBAQs1JRXbmryqAWEcLgWcuM8TAOERs8V6IkK2mOUiAnMDiMVwmsGYVYBXtVuR11rZeaWI73vLi9ouaB4+nEUjxXhxda33mDc5FgxstkObQIoj4lYwRjC8aoHKv294hpQogfLlNtVWeNNEszhlQ9TSyhNiQ4pXBZlcK4plkBSyfeOPOXL32/EkWyiGiSDL1T1rWVemiUdEWoy/IlB/1WcO2mgZpyx7xAqzMkf4He56oF5jAMWAtjiEirpGWlZEU0aSyjMESHuMhpfuQ0n9ntdsoZBYYhaIdOoJRGSQk3DVqYtMZ6Vv3M6LSV35taiHT9tKIZLpq+NSekGKTWS8Tk/fs7vNt1k11jLQmRqqlbOTOftRsyjiPBW9ZSyEWNeso71a6gSA/vwIJUoosKAsdirBoDNDHMXHTcpWQEc0FH6SYEjK20NVH7WMs5xxA9VWyXEqRLx3uKGpRycTp3mUToOuTUpSRb4fD8HkgpEcfxIk8ANbfUzjysW5JibTB3ukgIRBfUdEPtqXBakJ+7QbFZNVAY0Q3LuSjrc5omfAy4oh2Uq8NBd+O9c7QVZhdYfy+YWlOpRSmF6LXDkEvBGy0UxBqVsADDoPeCFitaEG+86E2y472+iHOau8xGr8uyLEw9DvvyfVvDD/7yM21c5NI75yLSMV9aa9D6C95JJ5A0hqiGp9I3htZabNFiMlrHsJvAGI7nc3/hK1d127ReH0ZKWahSGKLHBE0AC87gt+6M9zhjWLPiDlNZqNK4ut5zOj3yox/9kKvrA1Iz51nlJPv9Hu/DheIxRS1qdHS+UwPY+uEi2dBNVhbE2V7Q6fg1Ok9EA1uWnAnDwDAdyLVo93gpl3vRWotUxQjmnHuHNbCcZ47rrCbgvnnzPmKMAopq1RAEnTSsGkt9kYAIaypKQTBacK6rBhSMU1T9rHU0ayhJJzbf++7/wt//9/89Pn6543/7vd/S9MwE3/n2t3n58StO57PKqRzcfPRTtLSwPL6j9Qj3Cyu4NWpK1OXEMiceHh7Y7Xbc3rzUjm13ym/d2W10vaG0Qgj9WegBN7UiIV6ucUOnbKWJduz6hmNdV46nGd+Zry1YshFKgygO60asEXa7kVTgtGj4C0Vo1VJyN7oWh3OG+aj3wvX1LS+uX3I+nWnyqON7b6lFyHnl6upAa6Lx2lUDN9Kia8W0G4HG4+MjphjC7lYTHIXLhscHLbqkh8C4pomU2jjZTHNCXhNDCPzsX/lp0jpjBfKiny/lhHOVab9jOhxI55lRYOpc+jhOmKDrwNXVlSaCec/pvHC4vgJgdwjMyxFrhRgt1oXLuy+thdsr3eQcz2fV9VrLaj3TEKkl0Urm9ubAcp4ZppGr6wOPpxO0xhC00KYWhsGzn4J2I886Xbje7y6Sg8/vXnOcjxzGgTBo9zPPiWIL5XTET1dMgyOfFmyXq5Wim7U5qab39Pat+kTGidOyshv0Xpu7YW0YBrw41t7tC9tETRpLa9hU1ciGY1kVnboFfelzurAL00Xq4Izhxc0tywK1aHJiQ9hfH5hzwQ1BJ9OrEofyfFSqljWKLPQ7ijTWlnHGcnW9V+/RujKMA2sVjB9ULmh2+KPywGtrLA1cFV5MHpFAE9W416bvsPP5SDMoVShVihQGN6hvqWm+obMeEUetpXOnBS8wjkp6yeuKd5rOi41gDK1qCE5wgRACS15o2dJQTvDaZpJR3fgyV9ZVqU1DDhgzgRMe5wQYchl0Y2InmjcQlGwTo7CsK0tacdGx3w+Y9aREHA97/4oXt9eIDRzmtcu2eiLkqPdYXhJSCoMf8H7A+saazrjgCMaT14TgtFnT9B1ZU4UPYOCuph2pZGrzFKCZAbwhl3t9V5mnRuU+juQ1KdY1BsJfYAD/0PGVKJK3Q7WiHZzdDTrOoLxWQUXXreHDkz7XGIVZF9GunkFHfxpFIL0TZvrXXnWkEy0tN/CwFnW4qmQBnHFgHS6MGhiQFHtVSiH0brQxQhdTcZ7PXF9f450nL10iwhMCSbuX3VltNXFINZ1Qmu7MC10Px6brNVhDXxh09L6WjCCEcegdUKitYoxj49NuHUQdk1okFdVTV2WWIg1DxfbiTAkIYIPFdWdugYuZLYSnbtAYO3GgdzLWdcU2NaYE27iatFMZh92lY7vp6Urb0rJMZ2Vq19Py5+kRzwkdsHVFtAgpXUuJMdoFtU7HP9KgaNT26J8Kyu3XasFZh7cOUxtWTNem67F1h7Q4DUCltQ3VBzzTjsfeERWsdvw22oaW5/oZuo4XeLYh4EIGuRRP5stILecC0pQ3K0BKhXXJjKNTY143fW5644vxsXdUNo3pVsDoi7Ai3mOdJ5WMwV5Qd1idSlhncNlQS2auiYoQelLbFqusuj3VUe+niXk+c14X9QN0befWUdTC3+OsIKgBlB7Wg+ndH1QvPsXAOAyXeGT9/0+kjKfOnX62yQ//JytIN5Y1RchZgWmaGLx2tHPOmN5Ba2ypZk/BLdv9ZozBdJ/C9izoRGtbLi3Pw4tSK9Ssm12XE2VNjIfxS/d0rQ1nGs5HjBNK0XtsSStpzZzzieg9Q1BW9k9/8+t88tEt79/9WAkxTfi5b3+Lm5sb/uSPf4CPGm8d3MA4Rmo8k3PBxkrD0ZxnKRVpK9TK+d17lrTifWQYBmIccL1QY+uwOQ02cv0abtdTRHnwrev41UTrkKokh03jvL3HWlPXe6nCZuh7uD/i3UglsFbR9RdhnEYajaUUvDHEQYk7mzE5lYwxhavpBmMMx0fVs55OC+PkyFRs9xjUWrG7oc9nHDhDK9I9P4Zl3jCM3TxVG+N+RxydFtW5UE3Dd7mbsxoznmvTZ7OvEaA/f6HhJscYFFmXS8EYy7AfwBqWlCmA8wFnle3fzxCgeMlp0kllq0JqgnOqDz9cRZzfcT4vtKbmXHAX85xtmry3G0cN9EDIeb68M0UawTTi9TWPj49M+x273Y7j8cgQ3UWDbkSJEhVD8ZUqpZudwQXLGPxl07SSuL6+hpZBdLK28wPWBhbRtXZeNelsnEY2b1Rajp0tbFmLwPA0fdhkceM4qszR6CSitKbmtqr3kdJ8PKWHwtSqkzc1OOqmzJu+cSu15wxE9R0ZpSD5aYBcWBbVaEspjDGCmIu+u9lGaf2+pkcuO43v1vCnhi6JBSOOGJ1KgwSqMxg/dGqJNpykWX1PdbytCwPeWcIQwc4ay161KbAFuGyGvop6XRQTZ1nvj71hok0t7zVPwTlH9BbxjjWtrFk3rd6pibkaECwpFyarUIBSXU+2g2F0mUGj2wAAIABJREFUOAOldRO7Hztm16i/SaR3ddUfsCXLlta4GkZoei1qrjzenaimEYI+YzSVjaRcsQZ2h702ITI9HbgR9ntKOmsCsJsoWesa0yfcRT4stzgvs/LWB0UqHhcNOAsOaHr1Nl0yTXojwPT/++Fmy4eOr0SR/NwhDZ1r14sTZ52ydq2OFJ+PRbdC4Xw+4yy0qjqp3ejJZeyLgFx0jGs56+K5OJbjEWmFOB3AQkvaGZSkmiQ/XePGgfP5rIWQseRVEOd15GEbWPh4PLCeM5jCzgZaM5cUts2Atr1ETP/ZnxtBAGLvVK3GMITALDPBKOPXOA2H2G7grUu0vUSWNeO87SlQ6gKtSekS3oJzHm9hKQXpcgofHM4J+v6svQNEH4MENqmJ90+IvKu+WG7dpmBg8F1Mb4RXr16wLAt//Nn7y8IHurDU5vuNrzYv78beVdVCeNNDO+dIWRcM6WEftQjGb2gpj/UR6x2OgVoLtWXtEk2DGpA6mxfg5uZG9VjeaMe4gakNlxtZdLFttQdlWMvxce0Fq3JUY9z1Al1NQXEzUxQlZmCejIAbQsj0COxp2l3kEFsXOqdMCBrzrS+J2p36OjaKfqdSkJw7U3hApOrYa8MvxUgqqvuONlKlsmGqlORQFGO422lH/jSDt7rhygkXvRo4gr0UFk0a4xC4ffkSRDidzxSjcbo1Z9KyYLv8R6Tx+Wc/Ys2JabfTjlsulK4v3WKDp2nEtKw6WOMYY08VNCqxqKWoGQelF4hUcq59AjCTUmLcqR5167allDjEDxsuck1UMUxXexDDUA05JVpKlKZmQ4JGB5es0oLSBOehLfVSkBvnQYTBB/zVtaKIznPfNG7aRX0xbyaq1JJevxCYj5maCzt5wuhtm8aUCnVJquJAx8intDIEh+1r28PdHafHI3/v3/m3Od+9x66Fm+kFfoi8f3jPF2/f4G1kOWd2Q8DuX1J9UiPgFcozb1XHj8sRKXqfLadHnHN861s/x35/RTVKqlmbxhLXWpkmDZBo5YnEcjG4pjvFpaVM22mn0cRrjOudQAypy4KOxyOpFs7zSs6VP/7Bn5DPlTEceFjBGsf1zde4e/spMRpiHNh5lUQN8ckE+hxr+Xh6DcBup5vwKpqyWWsl4AGdrp1P2jVcM/gQKWSolmHY4VzfvDmd0hyPZx5P7xmnnnBWKtlkijHsnO90lpXWzbpbUQfg7EgrwsP9gjNCSXKRAIjzxN1EoZCWGRsHruJOAylqppiKrTpNWteVadwxjiNvHo6seWG323FezhhbubqeyKmqNEZ0CjGOI249UkoldXPomhM3NzccH+55cX2Fk4ndNPDwOBOCY53P7K8O+OuDdkKN4/iYWdeV4CeMGYh7c9lsL8tCMcI3Xr2itEa63rPWyvvziclNxD75OT+csDbw6qc+4e7uTovwYaA2eHl1y7quHD5SfFdKhY9fvGQ53tNEeLm/0oJ6HElrYZomNoPuOI6cS8YSoEKrivoKXt/3gsV57f7up4l0f+Y0n6m5UC2ErvOdvEOM4TjPnCXxandDc7r5KacjoeuYpaknSYxlrUq6kB7JvSw6UfOD57xk9elkjV031RN9IRe58JQrgveVJrBkp9NcV6loR9w6Txgm5jVrSqvrRJNcFNWIwcRdb7o4pHlahflc2L26IU4DDw8PLOsjNhzUXF9ENdFBmwprFsZxYj6tpLpiSKwFmgVvPM1ETqeEOMv96cg4WKbgMThSa9RcCKExjIGIrgGmqqSsdRJWNI7VKQt+o6ekZaW5iSIqPRHbwzzuT1jXYB9INXE+ZZwL+OhY10WRg36glq1WEJXh2S6H/cCxiJrmx6jvnmnQZtNaDaUWXIHglJuf20oDQhjUnL//AFLuLzi+IkUy6iCtBWMChtg7n9rt9OLUOCowDIpJwUDs42YfNhSWxzTRm7iseGepUpGc8cHr7ibr760PNBtoVhDRUbEjMJ8rtRoOVhfDqcceizXMNhO8AImUM7vdAdIDgwmIccwpdXd01wr34rN0rXNKerGXctQunrGQNKUojDuojVQKXiLWOKQYctVx9xhVaC9NyJ3KICJazF7MZUrHSDV3koHjvOhYxUglRss0eja6g/EKrXdx4LSser6HSkOF8wbtxkVrucuP1HPBd8JCdJ4kk2ooreFHb9704kETpJZlwXUZgSPSpLCxPY3tqCj0M1jR4i9YQ5NEq4EQBlrNLMsD3h/wZiC6yOl0oq2F29sJxpGcHbkWpAg2WKqhJ3h5fFQHOLXg1kIMyuMVKkvVQJpSCjV397BRyoci3fRnl8HScsEU5X9asUx+JIsW1ktSTJV1rjvnPa0U6rLo16chTZmhxjeaWRhaN6pZSwbWThyQUrHe0LxlrRXjIJahp7VWiiSKJKZicOMBbGR3iNQ8s85Z46/DQF4zp6ovq7VWTGtcXV0xjiOfffYZtzcHgnU0GsZ36RKwisZSizVIybQlaXCLsYoT9KFLUSAGLSosjTAGpOj9Z9D46Pl87BuwbrxLC646/TfGMIVAa9rJPB4XNGwmcnv7kn/8e7/P9fWtdifFUpbEFAauv/4J5S8g9zg0lre0TO2FaXCOUiFTKNaQEeIwgjEYmxmcoy0FUytzU2Nhy41bP2o3fRww3pF6gltmwVhHdA6qoXVJ2G24IQ6Oz+/ecF4rN7cf05pcNsjGQjAOWsY7x3E+8sk3f4rDzTV/9E++B8niBt1ILcuZJonBNV7fvaPWzIvrK+7vH3n54opUH8hpUf27GVmOjwy7kSYW5/a0mjgtD1zvJsrxhLeQ1pXsKuP1LYyvyG6EeuY8H8nNU1rD1aqSnSFQCZQ2QxF2Y0Ry5f54YrSK5avnE24Y2MWBWiPF7ag4KjMilYf5kfV0whnHeRG+/+Mz9/eJNYGkwkJCgmAOI+/XIz47Xt2+UCnU8sDhcCAMA/N5xTttCmRODMOENDidTuwPN7w9PtByYT8dyKcj1lpOVac/NgTERYKNOKnE6Ej5RG0OkYGrqxtaaxyPZ+bUCMGDjdTljDVCO+zBNKarkTYL53mltEqY9N7wnbtvcIxxZHELjkLLifXuHpcTL7/+Chs8x9XRiqNNewraLChtRVyg0mV8RnixGzmdF/Iyqya3BVapSqpIC8Z5hmliMRAHxcn5STW+h8OeOXvCfk8zTSWIJRFNpfmBc4cvqKyncTo9Seru7++x1nH9U7dMw0A9ntg7i7WC9UHTPXNW4sbjzHDlWZPBVAshkKRQSyJYuHIGL5V1VU1vlKj4MzLNzqQ2a4JcKYyihJTSGtk1rFhiDDzePyAuc3t9rbrhIKSOxLMm4n3geExdHz+ynAv76wNxP3FeVoyzHB9npr3QmiZ4vph2nNKC1IXbw5Wu8/EKAxSUrS22YZ3Dtb5pNhNrKj2kRbXO3ltaK4RhQgTO1tCWgPOGKol1PmGk0FrAPAtLmZp2wcUa8pI510emOOnGsyiNyjqHMYUYB00FFaVh3D0eMd6xu3nB/Zw4ZLgebrh7fKDYTAyBvR37zxywwfPu9JbT+pqb/Q7bBJMLV85QlweaD7g4YFyXQM3CmoToVNMtNaueugqSDNWqbMuJYEomdt9HbVAqRDcgVfBi2I8H7hrdq2NZ1zNGCt5q/PjxvjJMO3IqFFORMOGHgePDI+Ooa6QbRkrLUFdieGqM/tnjah9JqVDOR4wN+GlHEyE41RpGH/DdT+Ctx1nPkgvHZeVq+MuHiZg/ayT7f+K4vrqVX/u1f5VaMwYdq7RenLSlKBDdwhCUubl1E9Z17SgyutRCtc0ilZubl6TeBZnXvsPHEkNAauO8zGDMpTO6IXi27m7tnSXgMpoS0/pOfqdFe2kYq27xEB1SS/939E5IN+10xrF0M4RxhtaB6haVQwBE112rXWe6XZvNhAFfliaICHirDFpprItqcA0eY3XjoOa1L3e1ti7N1uXcOscGC77vRGc9Z2570fdu/HKeoenIXNF7gveWOOj/Oy8a2wobtF0wDM8+i2KYADb60mbQAhiHQPAj9/enTpNQY+aGutv0wmzos0HHOhvubptKbGNzLcr7Pd4U2C8i2HH3bLyv53Rd5y+dd2MMsSdgSa60Uog+aOqUVTlDylnHcsbQ8oL1Ae+iklhKoRhNNBxDhK1Dtyo1QpxFvMV0WUs6rUo/GQYMDrGadBisyhSCNYzBs6xnijiqsfhgCdZc4mmblMuGCcAanYZsyYG/8Ru/wW/8h/+Bdniurold626djjmNCCX3wt+E3l21vXunSKptLBi8mnmcc8z5KYhlO3fjOOqUp2+s9C90gzYMw4Vjez5vrN7E7e0tr7+4x/uB1o1hu3FP61rKpSz8t7/+N//vLTQ/OX5y/OT4yfGT4/8Tx9/5fqW1QlsVx9cGrxLGooQm7/0llEj6O6x0BG0Tw3/9n/793xGRX/m/+j5fiU6yBnNIL0qrprI5RQslW9WDap+MU1sRsxV9pWSc6zpeusbUbIl1qvWtrak4PASqrZhVu2feR0QqteWuu9yA+Ilan4pRLbIrzkZqLmyavGaDajzFKJ7Nwpr6+DWG7tLvXN6epGNVFaGmqc403ggYX4b6cyn0rP1ycXxhFhvVqT5PwtLzabFWqQvQJ+5bp08F1c84vlr0Ioa1u6034oO1Cvm2ToMjrImIFUR6J9IIzVhqNyc2BETB/GJQR4yU/oEV3q6u+PaMmKDUhdr1Z0O07MeBxalWLHhLW3U0v6UGTsNOGZI564MR9AGp6Um/lLN2VzFqytxczhaj3OXnZi35csLTdohOwrBiweg4qspTCpNxmhQo1uCawxhPNZZqAriA9Vl358Yph1uEYjWWQ0A50k3xeBsjeGMIWwwuWpXpNDClIRRKyohXjZ8UIZOpRacK47S5v8+s68p+t8N7z8uXLzmdTvz2b/+26gp7Clep2sXfNk406VCHBlsyVqeoXO4J82T4pNNENtPgRgHYzuNGoNl+VTxXT58UNas4G3ossE5I1LFuWbNey9oaJWeVkKxP1+Ynx0+Onxw/OX5y/P/z2DwGprWuFVctvalGddf9fYYIld5U64CEtcum/jLHV6JINsDU3bQpn6l1JjBoR9JoKk+zgDHs9iPrqhSJYRhIPZhBkSgVamMYAm/fv7sUGiKKAVnOK5uPQ5wnWNf1oOCddqRrVTLEpvvditYQQteaTiyz6smmYaRZ1cYZStfqNG5fHNTdO69ILd104BhE4xHpKLgqhjCqge18PvfRQO4pV/ZLmwF61Knyx3v8Jor7q12v7HvXUzvEFtvP2TzPl8CG54VMaVvEs1In1MCgiBxjtINYjUFCYE2qlxq7LrfmgvORDW9Tiv6s7RKMoqD0EAKBRKuOVn0f3StVQUygScNH7aDnnGkWzsdHAtp9zS7gWNlin53rJIyixXEcBsSaSwHn4nApyKSPGP4P9t4l1LZszfP6jed8rLX3PifiRMS93sokqzCRghLRRiZkQSIKgg9sFdW2VKplYU8LW4IduylIaSLYElFsizYSfDaSUhERMbEyrbyPvPdGRpx99t5rrTnneH02vjHnPpGadW8jS64YE07Eeeyzz1prjjnG9/2//6M2tKBEaTrOeWqRbiivjhMal+36WspHgxCInW+sTZZxjiIaN61Fsr7f23VhsIIz6npSWyaMA9Hp5MJ0jroAfuzIen/NtRQoUNDkpZIKYlWgGjy0LD0cR10bbBxYq3QlcGWIDpMLtcK6bnjvGMcRhtcAEmPUeP53fud3eHP/wLIsNExvEveGThu9IXj16ezFcipZud2ddtApab3QV69g53xfXx83csI8nyilsG26KQ3DpDHzowpj1fe1kZNy7N+/f39YIpluK1URCoalaCPzz/93v8u2bfyX/+Rv/n3Zj769vr2+vb69vr1+Ma+/8r8+d92agquD6wAZQqsQfGC5acKq7Ra3490doPoMEcH+KXb7/0/XL0aRbCAGR/ADrS5Ia8zOaTqNa6QGGdMz1tUjFtTyR9/464hcv19H41CU0BlDAU3nQQtLH0L3ZXR95C4YVHRljaaf7WEgOyIdrcOKwRlVFtMStlYGZ3Cu+40aLbaM2f0b7UG3MPKaOmcwx9c6a0nZEZ2nabg4H1t+taYRnx+Ps/f3uf+/1kwrr0lVu2ew8z2Bp6ekSdMY6P3zUhRQQ04MllINYhrDPB0pRtY7XMs0Y8gtY2unkaA+uoj6VJj+OTtvoem9EmNwTj9fpHtXApg9k952AR0McSLVRa37SkPdKsFI6Yva4I06LlyvGjtrg1exQ7dwck6X9LppKEHtgj/nvQ7vm37t7ioBHIi6kL8hFrLW4ruqPZVClZ6St48s0CYAa/BFRRjeewYXDou2HeneUWrlQH8TwZaO1LpeRO8dr8PQWlLvX2PABU1JNLZ71e40Ho+t6gO8bYVSVF0szR7N5J5itq4r25aVN74lxtmxbZlhUNEpsgv0Xj1hd8GiKaoeXy7poNRYq7z2IgY5fui9qrV2H2dQF5bKy/NVP+vW13eF0+nEti0MfurCKuW116ae3sYoX+/90wfO0fDpp5++0je+vb69vr2+vb69/n9zqUFFOyirWrl59QCvDRM9zTqwKgI17pXXXGtHkH/+VOpfjCIZEdItUaxgGHHN8f7rixaF3XkAT1d+QvmI+6sWcN16Co8PI2GYyfaGE0WSbRVGr6ldzmpcidrJCeMQNDJ6S1QaUwxID67AdNi+5J6iY3l+flZ1cS+ADI6cEt47zucTxgqlGmiGs1FRXSKTW+ooraEaS2vClitjHQnWUaq+DzAUHNIq0hoxOHLetOB1jtRt1abTqfsjVvVfFUtJlVpq5yMLxqmC3/iANY7BR0JwPD1/UNuoHA/Kiu+F48uW8M7hbcNSiE6bmKciSG1Mg8NZ+PSTt1yeM5fbVQvCbvIe1gUr3Vs4jB0x1XjOXh4jopGoRja88VgvXJcL3/3ud1l/+sS77/2yqnfXG+vyTAgDIULLKiQbh5kh6ui+5BWPOmW01iC87XzYE1XU4qyZQjMoulqFtG3dCUVfR8qZYhymqWhtCU6tzqrp4Rjqf1ykkctGRUgAtfH5eMJhOQ8qDMnSrfmkIFnw7I3RKw0hZ/XTzU3THN0YESAa8MZq6pszjC5yqdI51Y1bj/LFawb9HD1SLVIFO59A1HFkjAEjjZxvbMuTChlD0CTA1mi3jeAc3kecOGS7sVXPOEfWUskm4ZwhZaMpfbl2WohVz0qrjV6R7htrPXs0zL737G4JO2If/IA1lTBqsXzd1AFlLRW7DdQ60HpQT11XbRDQZ/Czz94R/MD3f/hDat4wYjnPd//v7E3fXt9e317fXt9evzCX7dkEZr1yN5+ouXFLGXua8QbqsrLlhDGO09ydVcqG9FQ+tVr9+aHkX4giWTCkWqB0f040q77SJblogex9PBCxEIKKn0Sw0u1Xmtozraul+aZeuh2W32F3rKbT2e492pr6vyqS+Gov55w5kFvNja9YeUVpd9pCjI4pToqmlULKq0aJCnh1JT58dffI3oLSEbZUKBNAo7aMtYOOrfeAh9a5vWLwxuAwjMPQUWlou8tHt1AzsqfINR2Fi3JfnXFHKtyOntYqBwd2Dw2IMVLsayrg/melFKZhJOdEzhs2+m63pFZzjUorKjaM8SMruqa0FNu/l7H6K2nmuIe776IYw+VywTrH83Llti7kWhimUXPu5dX2TykSAZwGP1gatM62FvUpVp9Evazbo0w1ZMN7RxL9c+l2Uo3GYAPNoAVa//oQ1MR/TWqOfkwmRPnduSmfvebS/bH39DuD6U3czhXfEeqGUFo9Xl/rwQWqsN99aYXNqMey3ss+OTCGcZqITi356Dzrab5TweV6VeR729T5pXP5rbUY76jScDsHvmrao+8ou1rCZfWUDlbpNLuPZxO1JLKmpz9yrJHdx/jjX7f987dGefAG9eHtSXoppYOzXJp0hHzn2LvulzqSc+b91x/UmQZHiOoAYIzhn/uv/7bGwPve7IlAUyukSuuq/7Paa331FTFGrttubyZ9KmUPCpE1SnMqpRDOA7eLfpb7hCaYkVwSLhpcVIcCYwQxA1LAS8RbkJZ6iptnTRXQAAipFWt1ugMV60B6c3a7XAFDsRrMsjy9524OfPJw5le+9w7vPWN3pvn6j7+ilsLz8zNffO8dv/oP/gW+8/kX3M8zRipmyDx//cgbP/Lhq6/5yR/9mL/4D/8l3n94xA0TNg7cNrUO+5Xv/YrSiGxFWiGIEE0iWlW5Dz2xasuJrRj8eCKcPsHFAR/0eftv/vv/gR/+5Ct+/w8+IM2xxBNgemiO7YEkavu4pfXYb2zLLIva602TBtzkuusvFBSwDnLeMDYe043Dw7lHMyO+TzucrqFDq6LC7S2n4+/VLuQBNDrY6/pfV00ibOJ7kILuLa4Kdjqpu4Q0Bt89lINROlWMfHh6IZeqgVTGHJPO0Pfc5eXDEWx0f3/PF198wWWtrCUTx9BTVoXqVFiEODCD+vX3Jv1yecJ5w5s397RWoFisgzUtGNet26pgvWdJBRcDuTSyrHz34XMG4zAtI6ax9NSxGMfuJyyaBvl8peREiJFL07V5217IOXN/fiCYgAHCYCnb2kXGAaxwveqzMg0j3mm6mYsnrssN8ZY4joxeXZFeni7d31fPgLv7Ey9Pl2OP3kN8jOOgPO73vHyUfLhbkooIWfScva4b0gxxVJcf+gTL+gDWs9UCfT/MW8JhCK52SuXQveh1gpYox3kP/b4brRmCH6i1kXPFBvXO9sb29LnG2IQqhXD2GO+QBA6Ls5nSKpflpo5OQ0TqTJZ2xC8HHKfzSLqtuqdZixhoW6VI09As2/dTUcvak9fXuZXK04cX5vt3fW9tYE0HLBIfPnzA+cgwzn0KqR71+xnhvcf4CYOQ1guGwmkIQMPY2J9dfRav10VdY1rTM7dCWTLjUHmYz+qPvlzxIVCqGgf47lPvuz/9uiSdxEYNStm1ZLVWtczctTIYgmjK3jK6Humt4vh5nDEh8pQTeHdQN/fpZWtq+bmnCuuZ+v+xItlYgwyBVnccyiCVnpjSKQH7aFo+ijjuPrVOjFIkjOsPU8NvlkofjzsLTn0AszQEOdLkUkqYZonB9+KkHvK2/d/Z04e8G5hOpx4y0YghUGqmlErddv4yWDS4ohlDKwUfB6bZcV3V/zUatQTz3uGHhsiGcU2N3HsiTIye1gzbprZuo+jhmS9qD+SCblhbK4ReBB4jBdO6qEvVn8EF6qxcHbGW6XTfC6n0SjXoRf/d6Uwpari+F2/SGrWtnMeJ2h07/vD732eaJnC7C0jtd84QQ+x2Vmt3l4ggBe+0cCTbzq0ObKtazrmo0cNhOHFNlTaM5A1yKkSx+n3jiBGodR/he4TAVgqt6UNXa1Nfzda6xZ1DNoCG9ZveH9eU847yk42xtKbNGtZoCI2xYOkdqeF0f4fp/O6cMz5qKtBaVqQ2QvTYorZ5mv7WH/ZvBGIoNziHSm4NU3okeVGk2jsVW7ZoKSJs0pi9xyCIWIzRDS9Yhw3a6O10mtv1RSk13YklDiPDNGNt+4aYLgwT3g7HRqSFiQorU02INMqaycnix04rqa2HDuwN0EfOIR2NN+Y1jlYvS6bgjnAX8D4ol90pZ3qP+92aIQsIXm2GRMMNfHZYF0lZUyUbGqP8+LwcNBKcPdLRABVGlqxhCM7x/sMH9V9FDeT3w8E5Q2s791oT2ryLTJM+37JlHu5n9W1+uehaCY7JqLNOzpVcWg+20aRHoXbuPzRjcE49Sa31hDFSasZ7DQIYehpoJWGBVqMWb9bg48An519iu1748CHxt3/8B1oYRKXzUBu1FN69e8cf/uAZHx5x7o6H+0/55NN7Hp8+MNxFhiFy/fo9v/wXf5Xf/9EP+fGXP+V7v/zL/PEPvo+N6qV9N5y4ezgTB8voHdfnZ9b1QmsFFyxv3tzrfZ6/IDqHCV6DI2oi0lhuG3/w/R/x4y+fuNwcxnlSfxZjnA/0ZstPPDy8ZZrPbFvWVEJnCdOMM5bTMOGN5XG9YmzrwQ2VoYczbJs6rhyizm3VCN4uChUg1cLysjGMAe8dzldClB4qoBMx79ThCNR7VwvOxv1JtQy3JWNcT3+0lrpsPOfC3XnEIYzBAo3HyyPOC5dNHW+gsay6V7gKTsBFtVz75PPPqbXy4cMHgvdcHh9J05nqDB/WjfPphGn6PNaiSXOtZSBjsk6R4njCWLj1Ccy2qSjZhjv1FD/dsXp1WnKTIW8bUzwhEnh/y3gpPJwnpeWJ0/edDUJETGXLjbVk1nXh7TQiuZBy5ny+0yCRNWNGR0r69+6HE9YkBj9q4T06pjh0EADwcLtlsAM560kco+VWMobIEAOtVW7XjQ8ffsqbBw2RSSkdntTWeFx3nzqoaeuKdfZwL8qbUuQSHGf1DkZ8ej5xXRdwnueXF8I4INKtwbxn9Nqw05NcL5cbzqr9KKiNIHBoMFoTlpI61VDBJD94PA2pgnOtW77qvmrEsGyVtmS224pUmN6ecdYxTiemYHHesjQVR4fuIGWrYV0v3T0Itb8TgXHA4WhLpqXKeRw4RUtOidAKTQrfefcZ7d0DH24L1gqXa6FUweegiX2TTndL1qYQY/pUtttPVscgTVP0goq0A+WwObVWyOsNsMxD4Pm6gHcYF5jHmTg7LpcvwTqCD9z7gDjD02UhZV3PMUZ8DFQRTucHnHO8XC+krfZQKt3Lh+AwUbVVuTruhgnJqWtZoBpD2gpLvnTwCkxV68IhxP485V43bjhvib0p9u7POJbaGPMG+A+Av4TOzP9F4PeA/wT4FeDvAn9VRB6NnqK/BfwzwA34F0Tkf/pZ/4Yz/uAA15ohjFhjaEUDEjSfXh0ADou1juxJ0QXsnHYctWUGP2v3AEd6TAiB0kf2tJ5Q5wO5NdqWe7JMJTiP6XGKpqOy1nhyLbjguyUWNBH1tW0NS+ew7GpyAAAgAElEQVQl9L/RgGXL0ArRWk3Z6wW7kYp3hjlG1qYdz3xW376UEuv2TEr+KC5ijIeDw9t3nyIGbqsiAHfDhNR2hCHEGJGOwoRxgKpuCO+fn3uohXJAQWMla61qzt678+3ldqSn5ZzZI2sHZ1huz2r4PwyEECE4BoZDyAdALVgB7zxhPvVC0SrM3bJ6QTZ9X9WBc5G0rtxW7awplSwZOwS8Gxi9dsDqzau0mJQy0Dcr68Cb7tagAj7nHFIKTiwO9S+2PS0PGq0q1aY1QUxFJbEgRjpiaLWRsmowX0qhbBrZehonWhzIVrnLpWYKRR9Q13rYix6+pRRapyRsaSPQrfiiJiHt/HFrLcF5tpRxtcEw0KRSjcYXN1FnlWZE6RbdwcM0wXfk38eACk59R409PgQQPXS2bQMRxnHEW0VfllWdY4YpsuRC7FzqPdkyLduxpgBFDFqjlZ5O6TTZS11G1gNR3ovl4NTnPITQUxHrgfwoN1rTonzo987Sefv6o1p9TnHKfa95Y13awc9fbjd9r7geZa1NTgVaKoyjx7hAw+LjqHzq5QrAOM09JOZGdGowT49ZP5/PhMlqo5gbUtUpReqrZWTNDbLQpBGnEdtDZ0qDWi0ueJoYJBesKRp5Pw99g3c4O3XxSaPVxjTqWHATvccRiD5qA9CRrMfrM7YnihlXkHDH89OX/C//2//J//5//F1Oo+d0mvml730X5wzLcsU7y6//o3+ezVXGh5FLGvn66Wsen36se8VamM4Tn3zyhk8f7nnz5oG22QPN2/qEIAQN+7Bi+HC5crut1OR4udwI02fcf3JH84Z3n32X7//kj3TvCKr5uLu7o9SZn/70S+7OD8QYud0yd7MWyN7anqyWGaeuW5CqYEdPtBy8O16Tc44pBrZSaU0TRAHGOTCPb7hcnqmtcH96UCHspgfljiDvTkLn+zsNSikbcw+ueY4r67YxBMPoPblkzDSwLVeeX56w9yfGOFCTI2ERAm4cmYcT0V976ELRg9hAa5WXm/qAf/EPfEHOma+++oo/+vI9X/zSn8MYx8s1Mw0ztfU4dWO18DCG82mitUpKaxeyO5ImwdCcCpeHMLCkSnOGvK44qzH1tVbGcSQ3eN5WXHRYU7k9LzjnePN2IPrA9fbC8+UDd/f3zKepJwGeqW3BVMMcZy51ZU2ZGAa+/vBI2wqmNVpO4CxLTrQBfJ9OWu+4rM9Y75hOs07dsjr9rOt6gFm11iP6fBxHpWCta6cz1mPvUW0CGkDhdZKpU16ASrr1EBp0AvXw5hPWyx+zbRlnPeM4s5VMaQUnjbTe8Nb1ibTp4VkRxDIMGqqzAyTOvjpqzd4Tovq9p7SqT7aPmOjUYUEaQ7BQCwZ7UCFdmGgmsXVHBhs9Ngy41vVERvrE05DLpuvfKTqNsUhT+twwDExjJN9WpFYaA8N45pO7iZeXJx4/vJBbxcfu2OQETZC9sV4ab85nnHM8X2+UVqkUpmGCwTE46Wj0ijORGLym4tZCq43BqB7HVgUi0nZjmmaaM1QRrrcnliZM08TLdVGUfh6xLuCt1k7BKfC4XHtg1KR1S6tVPZGLTsdB2QMY1bgY2+3eatVJtLOspTDf3bEsN0xtRANPX33J+X4ixlHroqp7CCIED9ZUalkpKf+skvS4ft5y+reA/0JE/ooxJgIz8G8AvyMi/7Yx5m8CfxP414F/GvjV/uPXgb/V///3uDQ+tNX8OqoXxeQQLahoYHoak9BpBU3RU2e0+NkvEaF11K0bp0Hbx8m1o4X7wu+opoUmakRfbaP11IJd2Ce9+95jf3cqgjF9BB8Uaa61snUXgBACVB13b6nQrKKwOSVaLthxJDd94MaxF0vRkTIYIz3DXTeSW09oMh2lzVVH8dRKK/Xwr7XWEoyioWGKNGdY0sbpdOpFgR7Srb5G8O7Crn0Mre/bHAeS+hI3jKilyp6GlkvVz64LtSyGaX5NsvF9bGk69ULRkZ5A1oVdexGW1+6JO4zcSmJZlTMsDeIUqTVT7euozVhLFf3HrXFHzLc+iMqR3WNKDa8PhDEO5x0I1JQQ43pc+O4ZrYEtmpzU+j1QBwqHQbyK26QWrDFMcaDsm6hTRF3HtgVMAdtjPI/YX9s5y9r8aEa9ot4lJ6pABKUW2D7DguO50PVdCdYhFuLgj9GyVAjegrVYFwk+UGvpSUM6eZDaKK1b51hBalU/ZmtpyDGEcsZio24P0kedtT97rXO96UUzRukUSl/RMaBzDtenLNYHbNOCofUC+hvCSYTaN2Aj6JjZGGyMtFZYs45mrYWhFw+t9SmRNMZxJvXCR7zFiVKAdjeOPX7ZyCuqrv/Xz/b1oHYYo4WyyQaKoRmDMVrwbKJJoNKFqzH22G6xx8TLODBiaSI4LNZ6vFOqlLEW073adV8TQhgPdxprFEnHGqwo95toiL1hP/t7LVaTuo3oeg8Ep7qI9++vfPiw8PWXX2G848v3XzHGyNP7hR//5KeUpkhNSok1q46iXRPz+cRnn185z+/54pO3xEGpNd5HUkragPsLy5pxPrJshctt4fH9RRH6rVBwlNp4frniR0PZ92CshjC4CWe1SbDWMs0DklcKUHilUvlh7E3666i9tcY8xKNgfhUnL4jb/dYbQzBUMcRhD0zSMb3z3We9B+c4b48RfpOC7c/vti14o6luOa20tEEu2CFgjDBNA+vtSvDw5mEgbYWXS8IHYRwiDk+0DhGvVpU9OtpYFUA/XV6OhjH6SFoz4nQc35rg3UgxKmJuIjSBsDeoZYNOW9rSxrk75NQurN6WjXEcEWcYY8RMOpkoy4IdJ33WpeL6vm6sdBqLR4uowm1ZcP15aP0+revaC0hPLpWKMJ9P+AbeBKQWDI1peE249Z0K6aOOxdViVdhSZYoDznVffivYTSOed//7/cefFKnvV80FI5DYjn3KB8c4aS5BKk2bdwqpVKyLlFrBOp1otsQ46mfTasWgeo0918Aa3St2Ooh1rtu06jO/Xq6UapnmqFQToylnQk/s9PtrLzR6gAjqZW+tFolGwBtHq4ZSDbUVcncG2icjpahTgziD9wGMggDe6MzKjlGNB+JILpmKww9nRldxVbgtH1T03UOvjIPoPcFbhmnAxUBKRZN4+z44DgEI5FtBrEZJG8BJozQFL0PQCVQphWUxZFNwLio+2Ay26rO506f2s8X351YBSKEYTT0MY8AZQ/Q6Ffrw/pFaSq8/4uukyCTNw/BeXaGMoeRCLg3nA0jDN+FunLncXg5wzzmlvdW6KjVONOAqxJ8fSf6ZYSLGmAfgfwb+gnz0xcaY3wP+cRH5sTHmu8B/JSL/kDHm3+8//4//5Nf9af/G/f2D/OW//E8gFUrSuFRD0rhNqaSSGX3Au1c04OAi5awbsLP60BsDpuG6C4LrSCBAFR1vaLhGL9xKPW7EwXUTgWx6od3RO2cI6AN8mkdq3g6rsFKUj7qPada8IvLq01yLbvRxjEfXBDD4wFoaTYSC2pUM3rEuiuAu24qPfUS/paMw3w8Uay3iItFZakkgjcEH8j6uiJ7BB14uTyBq9SbWgNFDJMzh8Ol1DVouiFMOdMVheiqhCITavXBND2JBubTOK7pfio5AUg0au1wztaw4Z3FiKPvrdlqM7aN+Ywytei10G9y9eeD5+VmRGK/38DwP2m03jaGutUCnDFjpDg89kAXX45hrwQ/KVY1eN9Pb7UawnZ8d+r1o7XWD7kXEbilnTOctGstPfvwj7uYTp1F5fDboaxoHj/P7iN+xLEtHdLVjdlYRj7Vzlq13bF0I+vb+DmetRjc34bKWgwaxNwO2Kl/eD7HbtglTPLOlK87A+RQYhkgwliVtSONAMY0x4APWGMrtRnCGtG4sNWNdYBxnbtuKNMNwf+L6vOBw3J1nRQ9s/aanpLMaY4s/DsToOxVpClir/szKPW/cjzM/+cmXjNPM6XxPa3B9WZSL7pVek3NlC7lrCnr0uOl2f9YqYrjeqLVymkZijCy3tQeSTIgYtqKIdG2NtTeTg1VEK4RwuMWEEMhF/aOV56dUI1d6JK6xLMtCypUmidN8d6DGMUbwgS0nBbddwFXBGc81b7oGDRRpahO5ZaARPNSsaWFzPKnoF7Xa27aN96t+Hqapf/f5rE1mLhvjYLE01ttCrUKOcBonXBXqmpBSMQHGTlVKfdqRKASrvNBt21jSRqHTkXpaZ+mWfLeXC95YhqDr683dPTTDlp9pTUf74zhzf37AOU8ujfuHd3gXWbo/O1YnAda7rhNYsSbQqsMYx3LL+GmAVpG6UUrhNE9s5QkAjSY/AQ2pOhkYx5FSKo+Pj7QGb+4ihoB1ijYuaUGSIrZxcJSS8MGypYL3kWXbGKZJ/bjryu12Y9syp9OJadRD/vl6O6Zlu1tKbWtPSrVsW2JZFh7uP1XaiBWuz4+E4PiN3/gNvv76a/7O7/8hW1IayLvPHnphqRzPGHW0/dXjV6StEKzvz7bhy6evua6Z8/1b7t58B+s9Lt4h0ti2hVw2hmHg9kETCMdO1Xp7d69nTNNEy1fbz8IfPz1xf74jmsA0nZBSeb7dwOizdTppIVLWhYblZdnwxnLf7808KlDw4emKjxr2s9wUVBrGmS1r5PcwDDw/feBuPvVJ5Yq/0+YmLYoCz+NEOXjECqys/X7d+YFcNm63Z8ZJrSdDnA7e9tu3b/s5Z7g8v3A63ZFSYVtWKmr1lUSnXfchchpGPAWxGnFeSmFZV/x44nm5sm6Z6eGBrz480k4jg52Zw0h6ekHqhg/q9oN44jBTm+N2WzmfojbFAo5GpBKCJ0mlSOFunnh+/0hwkfP9idvtggmd9hFFJ1w5sNwyKSm18c39TMNyWRPDOGN9IN/eY61nuSWlnYXA/XBHWZW/bwelOdlOR731adgwBIZRm96vvvoK5xyfffaZ1gu3Qikr0xz13G9A3rr2ypL65C1aR7FKVfJebXE/9LPZNrWeNayIVHx1TMNI9E4DxELgQiF2rnKqle//9KfcG6d0uRCUx2wMpV6VJtjPXPr5FovSIuZxYBwCy7KwtkatmWG0qvGicbvpBHx/VlXXohzm6dxtWteFwXmKqaRFzzVvZmoVfKj9TGn4YBmD52/9u392YSJ/Hvhj4D80xvwjwP8I/KvAFx8Vvj8Bvug//x7wg4/+/g/7732jSDbG/HXgrwPKz7OifE4jCBmDIr9r1jhQyYVp9Af6eCAP3ndh06uo60+W/Qdi5V8R5/3vWh++UXjuaGIRRVM+LpLHMHyjQN1vlu0I0X7FGGkduQawTlEkHbWa7oPcR7it82CtxdHJ7f7133hFTeo3fg29ODTt8Aj2vcCzoqPJdU3YQa3VtLvV0IvWBSY7H4smDEYPOOesiiO6CXcrGotKgyrKmSyiKMwQI6Wmo+CV/jrWdUVqBsm0ZpGOxu4I4+4PrEixeS34Ox1gD53YezL9ecMYxzBYYGDLXSjRBTZZ0iEWU9GHPRBQaxU53j+71hqmCxI/Xh/756t58cqeGSblpX766aec5wlnYBgD2yYq0jBoImBTgagYp97BVnnw0uRAR9KWcZ3rXkrher0SvKe1isMciJbymbs3dxcstlax1nSHkys+GAYfmKYR5yzrsigiGges9WzrqiExk8dFyzAMupQHR6sru6hBwz2CHkD1I2TVGeUBt9c0yhi7Efv1hjOKJmuNJOypjjufMJdEKY2HhwfKETgScT4rGo1oMY/RiGsvnev/KpTZ94DTSWk7pgkNpR0ZBLEqwJCsN8s5jZRtCLkLK4PTpnj3qp7nmXmeeXp5odXXWHc6yqBjX42z/nhfqFUwLeOgN3wFQUel1nIgk0gj543gIsYKwQoFQaqKiXYrQHrRGoaIt64j0hzomY6ZtWnS9++41hWLYRwHJETW6w0TUPTceMa+J3nT15Ooo8uQE/humddBgP3Zef/V13q/vT8K58FPNKaD7hBCxDhLGE64CnaaKRjKbcOKdKQLtlwhV9TIMBHCpDx7p4XfNEZE7AEszPOZbVMPd+nfJ2cNBtA1Z7i7O+vzWbfj82l9tKiUu6K0FirGerZl4yY3alXqjx+1eVJLxnas+X2vV3EhB0p9u200o7Ql7yPTZHl6emKcImEccMFTSuUHP/gBVVSI9/X7J5qx5GowTT+HWiupqhgN2Z+dgE2ZUhp3D28o9Un55emGk5EtfVBamHMqOu/r1aHCK+ecTiiser8LFiHSxGJdYBqVlkg0R+PtvP0oWdQd6w50yrafOYIQfGAYBko13NZNzw8fj8/cOUewFlMro3ekbSF6p6he30v3vdw5RwxeY5elEsOrsPdj8b0xSqOQpjx75ct28KkanOv8az9gJseakhZYTbBen5Vl25gGjVRuIlQDftAp3eCDBhYZy3mceFo3LltGYiKwU90cqRTW9YoFYpiYfBd6iZA3Ra+N08AKuvtRztp0bcvaP2NDSZVMoxSdIkQ/EYLuY95bWsmKyuYC44xF1Ku+KkAQjSPMJ0267edQTkoRjE6nCuoPDKUKsqh41aDT4XXRCYDkrAh+0Ub3k08/5+XxPSkltrRRmu59FqPc++7oVaRxnmb9/FNFilBKn7qZQMOwpozLcL0uJAfFJaxxhGnmi0/f4VLlw8sztRTCGBi8w3fh7lG3dYvUVtTKbdlu1BZorfSzT61Fo4kdINPpmTafsZ8zKvDdQ7CC7VoEPET13nfeEwaPtIXdhKGURv6/VYl/+vXzFMke+MeAvyEiv2uM+S2UWnFcIiJmn9P/nJeI/Dbw2wD39/cCetDacR/BRlIpBBrBKlI2xFfxHryObKVpCIcPe+GaaKX1Eahy24BD6d9a04AJZ3BBN8f9BuwUAzoPdB9FdNqbdkwpaZy0yLG5SttNsFSsI1awrh3Itgi83CrWGIx1Bzpc4EBXS63kJvgugNgLx4/f617Ew+uG03q8tDV7bPNICBYjrR9A7fjaWlDkR7pfc1+4ay1E7xmHiZYTkjKuF765ZhJQc8MPERsHHat39K+U0kUHpgtmPI6BnG66aXa3gr0AHWKPO27SC+CuSE2FbVv6+1QukvcBWlb7PudwVgsNZ3uzI/qfVgQrlUrDO4+36pG8TxvoxWrrIg3fD1xrbRcD6ThfRRkCzZJbY7s8dYGc0juuLy/q44yuw9uqk4BUK7ZpkW8MtNqwRhMYnXPMfsS73GkX3XECoRahtoaxyhd03hH7/V+WBWsd5/NZnV6I3NaF08OoATF54eUlYa0iN03o472k9mzO8vjVe0IIvPv0E6QJ02nibrjHOM/tuvYiaCC3zP10plbhdrvQYmAahs4P7DSRlIkxMp31wM5b6tHkDZpFMEQ39qLGs60bn332ObkW3j8+8vz8jJuUB7qkVWk2Utlerq+cQOR4Bl+bL10LLWcqQggD3ke805S+0It35XvrhGkzOl1wwTJYT90SOsdWJGMaRkIceXl5IU4apoKzxMGRcoU1KI3CGCR0fl8FFyOPj1+TBT7//HNNYkzK3R7nSX27RWi59CYwE5RQz7okki0YNILeGMMwPujDvPPAW4+OTwvz5HGdzi8CZ68R4uE8KQc9BO4fTry8vOhUR9Rb2lnXx6SGYC3j/T3Ox+7RXY7CQESId3eK5Awj8zjx8vLCdVOEUgt/La4O9CZXWhjAWOZRRb6Xy4XdsQJrGP0MSFeUb3ifcH7GOxXxKqKdWZeGtVEnT82SNvVOLyVxWy44Z4hDp321kVwgFU3PGqZRHRS8ZZp07F1K5jTrmoh3A8u68bItjONMjCPjcOoNWA9L+ohSNk1TF8RtrEtSwXCMvPv0M9bzi4qQg+dheMeyXPn+j37SbUg91g2sW+bHf/SoyHZ0xMExz+pEFPxIrcL1tiLGM99PSGpcLxvL7QWXrthxZD6/wboB50bmhzvWnDkNk3LjWyFGz/V21enpPNMEWgmAJedKMAM5bcSzVxFpSkix/V7C7XbrpDihUZDmEOfIRTU1jy8L5fGFUivz+Y7oHNV7bG28PL4QfeQ0zZiWmc4nLsuFz77zCc57/vCHP9LzsTuKeOs4mULbViiFEDplrlYuqRGCjsNTXvF+PCwjReSg5Gw3bRZfrleGaMB51mx1vaSszVQ0rGlhke7lvi7Heo65MgyB0govXz/igucTmbnmK7Yl3OCJccTZDesN4yRM0SD5hXZ7xg3v8M6rL70I3gys6YKzaqWato0v3nwK5xNfff1IKY3aDMYFJDdKbpiz5oDVvDCEkbQljPWcx0DJK5drYhpntrWwXVdyFbguDFPEi8OIoYmH6qhjB1F8d6UyghePd47P3333aOoBPn0baVJ4enrPulx4EWGala41jMKatBGpa8JYnbiOpxlrDNeXC4ghNo91gTi/7UnCemZv+QYhcJ5HXF7ZLgqw+GtGQsANEw/3r840NS/M45vDJQox4AKCJd5ZYKSWpJqb6rkb+zrIG+fTPeMUuT+3Q7y7c5WdaRhvCB2YaW3TqZ/zNBcpvrCK0Erm1DHMvbb4uI76WdfPUyT/EPihiPxu//V/hhbJPzXGfPcjusWX/c9/BPzSR3//z/Xf+9OvTiMALWSdc5RNAyS8sT0Q4pt2Wh9f0tWkWkgqKtB4RcX0a6SjPvYQ2bTmFUlzr7Yhe8dsrYq3Pv77h1tDR7x3FFlEjnCEb3y43vUUPy3Ux2E4ikPpgiYrDXEaciLGYss36RSm86HYFdn759SL83GIB1KQcx/rBP3z4JRLrK8f2FXeVouOXOTgh7XWEGupnVi6F+U6OnekWnBeO3vnlH9Ya+qo+Y7KCltduB/vNS0vreraEPX756JBMH5w3VVCOeF7Q+C8vtePBTrWWnKplKT8xlQ0/W6nYpSiXGwxyp01O/2CV4S61KQds9fDYx/57El0u+DMx95EVelG5ZZaC0UawYCRRCqV2BQJNdbj0Z9LH2+7HnPemo6g6WtoDzCpot/fe8dpmigpsax7fDMHYooI8SMF7o52q2jSdVcWQ6vagJWmY9zeUnXkXO9hyamjZ8KSKuc4KrfNOZxR1H5brwzxjEEnHk0ywczUXAg9AW9H3eLgXxu2vjGLqIhPUeXANDq2pfH09MI4aUjInpS5PzM5Z2oV7ua7vp798XsWuHvzhiEELs9P1Ja5O9+z1dJtqwwhenw0lJwPS769+HRuF9s1aisqCAFaUfu9KuD2saLtnO6mTs/GGByuF9yGJb9qJfYJUqtK06GqGMRYbbIUUbeH+ESDY/T3kleLOoyhNHDOvqLmRtEu0D2v7agp3R9eRxbkVtm2jYYQx+EVD7EapGM7b9QZ23ngjeCCRnp3/YIxhtK5xrsYNDedGFnvsM2AtZRasMZiDYRmoRpEHE7AIPhpxG7pcMfZKWtqT+jIZaGUzBgDLUS2ZdVGfBqo2ZNrPiYQtaiY1qA89hC7B3ef0OXSqNVQi/qQR6McT0TIuXYrt4CIV15/jJoS2qleDYhRg2pKaZRajkastcbLywt7AJDayek6Sikdeg4VpAV8nIjjrNO6reDjiHGVlg3WmWO6dL1t5JyYx3N/nZnSQEyiigYGZeORllmXC9M8Q3Mstwt34x2mP3POOW632zFdW9eVu9NJnzdvsEZBnt05ptbKMAYV+6Gc/dbg8nIF1Ee/VaHZ4dCGqNZAm5jgDJfbilAZz3fdRcMjQBgiLTVyrTgfSbnirdNJlbVspR4Wj6c4Epza89HTbZXGckOXvVKrjDFsy8o8zwCHoNfaeMTUbzljOkosVr1ua64YF9Tfve/5rW60BrlVBhMOi8tYG34YyJfEedYiU4xoA7EVkEp0nsE5St3wTosrrCF2q02MPn913aB5at54MU+8ffeWIUSsbWypQhPm05nNbketMs8zp9NAXpUHXo2jVKG0LpDHMI0Rs2XWkritmZM/YVHL0X4QH2elsSo8Ryq1aUO3nwu1Vmo2hGB498kbRPS5WZZOk+yhZqUUBte1Pbyiu6P3SIPUp3rrWrXe6Qm9u7amGRhCoAUVZOZSqDRutxvzPGKdU8661B7cJgTnO0+98+mdOif5qGfR9aoNt/MWW7ttY5Fv1Ga70HNb9F6v64oFfJ+6apgbmOC5bZBKPSiM3r3SYH/e62dykvsG/t8C/7KI/J4x5t8ETv2Pvv5IuPeJiPxrxph/FvhXUHeLXwf+HRH5tb/X9394eCu/9mu/iVS1VdOxjnKPat90JHVl417QHEVSORLB9iJYREND9PfqUQht20KMIwAlK6Hb+o94yB9d0sufniuHMxxcX6QSO9JyeDg2DZ5QKxK9ST7oOLp1/pS15+OgslZjly/rBXxQ+7FmiGJI5lWpLx8rPaEXEa9NwdvzSBPD7bZ2L0hDLuocEL36OsYYWa4dNbZClaqhGDUcI/L9oNtWdQzQsfBrZ2r6oVSbxXQV7hQM06w8bJFKzokl6z06jROtyCGUBFhz6pSA2JPpIjH6Y/PXYvKVt7Q3C8MUuV6v3Se7YXC4ORyCRYuh9s8l0vnlne5gjKG0egg1Wy6M48jSkb790o2nkWohp4Z1gRCnHvHtqGljjIG0bkpFsFFFEM5hpNJK5tpeJw/qKwnnTtERo5zwUiupiy7P84jFcL1eMCIHkrKrv+/vtfN/enoCa7lcLpzv7xQN7A2kd0rFuFy1gTs/vMEarx07htEpjcB7PciEynbZ1MkBFaaEMFDyFczAOE5kqRhbCd3qLedMQ/SzyZmC8tiHXXleG96GowENIeCDJa/C5fKinMZJN9i16EaWtnLwDkvSQmAcZz4W5DZrmAYtrkpJTMOARK8jwzV3b++B3BZFjZ3aUDlribWP4bp/+bKtfV27o8lLqXD/9g0WLTxLk77G9YSwTgNYCnqwjE55t36aAMtyuVJTpTm9n1tOuKgj6zeD7jPXF+VZWoGrddSuqt6WVYtidaFjmiZFrYs2TM0J1hRs33+Mcfp6RLgsytFWn3M9AKL3nPqYNEnRtdELoCu6qZwAACAASURBVNQqvtteDd3jtKaOXJtuqylyNJg+eoJXdGsYBhW6pe1IfmzSfbCNvp7oVSzbsq6PlG+Mo6KDy6IJi22IOOOh9pTKpuNibRIay6pTJ0M5muTdx32f9BkCgoqswuiYvIoen58fCdFxPs+8efOGp5dnSm683NTmahp6WmndaXb6fXNa9Unte7iuvdzdEyZSKmoNaCy5dZ1A14gE6/BDpFahNgNGrQL3QnvnCa/ryl3UIvOWErXBLW9EO+Ns43Z9gbbx+P4r7j/9nLv7B/XrdQPWB9anC/P5RJzG7hji8TEipU9JUeBhGAP5qg19FV33uRROo+/vW7UuIoZt28hV8MNEcB4vFW/0a3JT+8TTeWaYJpYXjQB2IfL0cun794jpZ0Pr+orzSdeXaXLYhw4dQHGdsnG5apEmTSkCp9NJvcuvC3PUKeheAAGUZrkuN4bTmSV3qh8WKUKosK2ZW05M84wPhlYzTio1bUhLnOOse5Xz2HHEhYBHsK6Qt5UPj0/UargLSo3aaThTt0nDqOtP7qVBS1fccNb3hKgloHHc8sbUG6kwqJbmer1qQ5Z1v/Oh0aQQ5rfUWnm+rtio4jazPjGFyOSjNkNGeCqNcxxVK9TQfaw/zyG4LrzMDH3KNc/zQVM0xmBLwTmD74BZTsI4zqzrSm2w5zJXaQfVYg4DpjaSqLhfGPvks4sWb1cFxWrG9zPdmIqpDWcDGfDjgEWbS28t222jpISzHShD16aGu+7iVrBIp1+o25dzel7tIspoh05Zec08iKM+ky9LwhnL/XhWSl7cVL9UBSOjAgx9kuxsQ6hQC7/97/1bf2acZIC/AfxHRp0t/gD4a2iL/58aY/4l4A+Bv9q/9j9HC+S/g1rA/bWf/e1N55dYahFaU6/K3CpEr6NFq5HROzd334RKF93oAknU2lXu7RVt3EexWvR1xO0jtDalRM75sJsppVDUCbF3Huqm4F1HukrBd57tQfkw+vr3IhkEkXJQGj5Gz5yxhE65mKaJZvXQlkrvnl4R6R05Dv09HLSJjkCVLWGj0gXO93cMw8DL5b2OFCxIyeS8MY5vMUYR0lSSui90r8dSVPRQa2VL6ZVCIjraMMa8+toW6YiZZ1kuYFo/VCK1FsYx8Pj4qMEnUW3tTEf3pPNgtWi2vSv8pmdvQz1Kd1W978iTIv6BbdX72ww0Z3C9kCtNLQFdF2NZ59TgHH0A2akdfT14oRuOK8LcWmNNW0/xUy5fiPa1cxWIYaAV5T9trWGbRawgrSBNkfT90LdOxRIHKuJfEfPzdK/inKRWgCoOy3ingS7e6YZScmUcJqxxuBBIKXO7LZynB7Z0pUqmuooxijC/5t3BNM147zkH8NFjnRZiLliWDyvXy8Lj8wutVorRRnNdtOksUsEUtnVRGzlUDHh/f0/OmQ+3GzUXpKOuBcFWg3O6ZmrL3a9y5OHhDZfbpTeQDUvQIlRErRix+O4Z/BoCkbXAKCow804/uw8fPtCC4+HhAQbLumoSZRiVpxycPzxwYwXjHDYGks3qBmMtKakq/s3bTwih2xaKYRpncLpfPL9coQqlJlyMTKczpVZK2ShpY+zrdooDJlhu9ar7Txd+vtpWqXLfik6KwqCiPWN003bOHYWad05DXnpRvOXEaQ5YmqaB1gK+04N8AB+0qUKbQ99FMVIqLnjoCnr1/r3SkhYmh6tPLwxzThhRX9FdgpHTijejcs6NDuiZAtu20pq6bhhv1NO6NnV6cZZhjAzRd5RUUfh9D85OuDudWC77yFRoogI9RcF0zc+zZ11XHVUb9aNuVV0H1Gd8JNmCd55hmLB26lz2Sk5KacB6XDRMaHiON9qQ5f4ZeK9N+jioB/C+14gITTK1B860pkgjlWNvdE2Iw0CMKrxct8rDm09prTGOikBbq8E0JbdDc7EX4mEIzMFxfdrUTcBoMmkzgSVnhtqYziMfHp8Zx5mnpydyznw2fed4Jj6ZJqRWjHNcb89gKtN0ZponLssNbzzLlgnDgLXC9aIFm7XK48ytc7a71WJrGgbRDNpAuMbL9cqaEuV6pSK8+853GYaBNW3cUuY0TVosxYHBB1Kn1o2h6xa6ULm2RsuKVFf033IfgVLOBVJ64n6+4+npiRgj53MvRL0hBEepqU9m9IzLt8QgHu8qt8dnajVMc6BZiOKoBuWjBk/uomPjXHfgaVSpiK3Mp0mpikXw/YwqVUhZG4C3D2eqLAq+USju9TxuTX3tvXO8mT/BOnh8fqSyMTBgbCMOr0BdrZllvTGGu14v6ITUGMOb06jCzKqF9D5dga6jMVo4mmYwovWDQShSqHVfX8q13Sek43Si1sxtuRBCw3Whu/LQLa0X3LnWbmmre1LNha1uepY41Vo1p+/ZWSGXjbxtjNEr8u8srVMzUy5UKeScSKnghpnTeOLW1DGmtApiNL8ganAXnUOdthUjcJ7mDqZlStEaz7vwDT3Cvnak6uTrdJrwNuDxlC1TqbSm3P95mPE+6npwTi3xTEPKz28B93MhyX+/r7dvP5Xf/M1/Srvf1IVi7JZXeoOsA/IrkrxzSlon/AO4XuxoglhVzlIuuM4LVbh9T5nTB/W6dbcMa7AOjOzWM73T6sXbMAy0lrvIRcuRWjPB6QG/rCu+2xS51vluQUcM+81t9VW0cgii5kGjf7uVmu3jWJ38Cs3JgeYBWOuP0fAwDFyevqb2mGfZR/JuOEaFe5G35OVoFvZ7PjSvG4e3bLWoZdZupSV7st1rcb4nHG17mpv3+NBpGUaAPezFkkvDuAHvgxawrak9Tn9f3ntiT9FyRQ35DVAlUasQh0nHyq2j8U03um0n73efzKNR6Wtpjv5AYvcGyRlPapXrtlG2whQiYpSHKKaRusdvMDpmXjp9ZfQDudNxjN3TCvX+ncepc7xVcJHWjSSvSMje7ZbuSjIMGlbQmsZb72p64GiedgpE6cJGFzy5KSo4jpFxCIwhAooq7+4t6tDRm8fu4Wm9NmZj7oVsTeoFjIq2WmtcykbKmfs3D9yeN7btiuthFwbL4LWTF9+tC7tFYxjORKef67IoamSHGWcM9f+i7t1aZdvWNK2nnXuPHhHjMNdh752Zm6JAqxS8FDEhqUIU9P+IXoiw8apKETyhUOA/8D+Iv6AuSyVRMMnKvfZac8w54tAP7ejF13qMtQqh8sKCzAGTxTrFiOjRe2tf+773fd4kqJ7aDXRKiQb7fD6TayHH/JAH7degJnkesLJw5i6nSUvX4HX5WK2VNRemQZCF1mgJzVESeGOMYerx6MsaZWEuC95ogjuITONnB9C2d0TDwP0605oi2ABdCqGt6Z1VMa7VVd73bk78oOdIipYKjoyEQZzQeC2bV6qFbBrT+CyFt5JrDBVjJ0xruBSZt5VVedw0oUmkeOuHu0rePkym+z3mnKNpebaCk+Q21SrGCRdbaYt2nnXbOoGnH9jbjm3sXOZWcEbMQKGjkYIWfFVSjQx0aMjjvt67qXIoEBkTdJkXmuAN4+DJpaHciAqOn376ScbWSCNi2xYGJ+unt6Mc+I3gLwsSjpBy64Xmh0Z97zJf3j9TaQzdGU8UR79xorP3YSSVxue/+gPjOGGsHPSX7UIYPClm6AmL5/MztcDpJF3PH3744eM5VhOlSThSVYKZ3LXS99uCUrb7Mhy6k4Nkh5DXPnpPaZX7JkSD1kN/8rYyLzd+9f0nbpcLXy9fyMXi3YGnl1eM1RwHKRQk8IdOcPBMh6du+ksywgc4BJZFSCghBFLM6Lrgw4jzAyaM3JaV6+0me2Rf20Yv3oOj9xQF2QgKVCF7LkDWwuvVzmIaHKzDoHh//0Kq0k3UWrBhuVXG4UC1FkXFtdR55wNaW15fZLp2fb889hPXzVoxxo7j7JPVjpZLtYEy/PT5HT8OTN3QmXaSUelBHFSsNSJRSleZRCOH0GMYyaSHYXM/HMXLwsvriW+/P7JtG3/4/Z1ljoznCeMcfujT51JoRVNzb7w5wzWumLTyzfMLJWVJZlVQS5dLIodI6ZAqUicDSUCO1BO/+dQ4Wwsxc8+Nv0zgeWXdrnjXjZUFlGusKbIW8Z58Or6ybPvBzz4OYoMPGCUSz5SXrv+2LFXjq+AoQWSCWUOOCacNh3GUgKx1pWlDtoHaFOvWSSr1l4AEAO9gtEM3yR74Ot+wxpBWCXw6nw4S1pKEGrP1TrHzotdHNQyGOC9oq2Fo6C1LOkWzvZhXj3WmtMp9vff3f2ccJlS2DC5we//CYfDUwaGFo4jpfqzchD40jgO6FnSu/Nf/zX/+/2sn+V/5j7W20wAUqlW0luSV3ckMYPqmtRdxO42g7bKAItrIWiH3yFkxZnUNy5p6R9KyR1yXsuufJElpX4R1D2n48CN+jORCCILTihGrgjj1OzqtCp6Z2iqqSnGeSu9Uu4Mk2Bj9oePtLy+jRmiIRtD2wmz//a5HSivnWVVkWeUB926gdrbrHmdda+4PjTAQQ3CEbrypP9c7297Bco7WNb9G95Shn53chIurBHSP6KH2pLfHa/X3WassILWVPp6VLlBTCYXGaEVpEolckZCFUgq5a6KcsazzneD8o3gy3ssYv2PhUtlRbb+U07QmBUpBNL2lVRSNlEUuoK3pHTeRi1Skm7nrqnWtD7B865/5o4Mv7m+tFUlpQjCUookqy2e0SkwUu/GTro/6F2K+ZcET095epGmtCa7LexRQJDzDmoEwyphLoPgap0vXXv4y6rq10jfTzqbOHXifsmwaNMqWqTVzHKT4HccDudxISYyXpSqc03h/xGhLSqJt3cdtO0VFF+m05yqjfDSolKhW7uAHN1v1A4ttSNi3yE1q6xOMItd+8I4tJWKSe00rh8KSyyxFKh/m2h2HrkBGxU6LxrcfnraYH4dopZUY63rBa4p7VIc/l0rFtHcVZK3xPsjBjM7V1H2iNAxyQJUvU0Je+mSr5iRBDt5RW+1xsMLkVg1K3FjajRAcSleUFo14KRGj+9SjVCChtyiH46ZpFJx2KKceRmClpIhwXpGrHBBr7amIzuGcJaVIrgmBswuOrNZKjunjuUURnJjeal4ZhoHDGIjzXSYcpZHTRtXm0bH6+Qa5m6yGQTqU83ITSY82sEnn1lhPSY0SP8IkvLEcjydaD65Ia5RUtiYkCG0VCpmWKRzGSqiBpG0KY3zwgdVYlrhhlGYwjqoayhhKgUKm2SpBTk2+V5kifughlVJcLu84F7jdRCqhbj1hc5pIKfHy8sJ1LszLgtaIP6IWFJpt6YEdwZNKIRYemsf9+pRUuxldZA65NIbpgFUwJ0nr3OV31lqulxscNNM4MG8zx9Hh3Imf3r4yThPXS5f4OGlmbDmRmiDoSs6cz2fe3r7Sqjyz87LhwsRtWXk9HPHe/wvTVR6yRTOOGGtEwqHkMN2qyB6Vlk5syVIE2yHglJbPq8ENk0hSykqKmZY2LKCoUMU34qysf+uSHx6FdblzOh0loVA3jBbDVi0whCNaweF0InWM4+fPXyjbyqa6L8cJ1UUOESJxo1VKjZR1pbouf9Gasm0Mk3ssIE2JjyKlzLJsrItEmz8/n5mmQlXy+n7wj2mlVZ6yk4kQRON+b2kN3hqKhmb2htjPKFyqe2bQQrUIltst8vu/+IGfSuF0mKjDyHh8htSERW1FIoZRYDW5gWE3n6rHfi2ZElBrI+VKU3KoWuaN5DRaH6BBKY3cpZvaGpQO1LRRTMMpIRU1oylKjIEVmRy3BibLfusOAWWMoGBTxfbGUaxr14MnlHWUuKGtE7rEdUOpLmfMkRI3Cgqv+gSrGJlC5kwmy/fvxGDbUkKpPm1EPzICjDpRU+16Z2lIFEzHSCoZWPc1ww8jqH0NApV2WeS//OdvRCf5+fml/YN/8B+irGFdIpX2KFQ+zHBibNn/3hjzGJXZ7mhvRS6Y0ZqsYu8wVsYgutnauXqlQcrC06xKXssqOjdZiuthGB7Fzq4tC0Fg+MF7cVDWyroklO04ra5bOw6hF261L8atb/LlUSjti2JV3djXRy/OyGlJkFXlgQxTtUlntS8MS8rkIrDvvchrbY91/KW5cf99P0eetda6Dk09roELnpJkPFW7FupjDPkRxuK9fwDFY5dnDJ09um0zh8NEU3BfxKjlw5GahTFp3Y4kKhglUwFnJOkINFu8E5xlGkeC87y9vTHHDWU01nqcH4gl07rWKzc5lVToY+TykFHsuJhdp9WUFgNJE6kEgDda8ESl0rp5KSPXZTBBdF3WkrKc2M/nY9d4zaRUmJdNuitacEY/75LuXbvHeGgvivfrXusvEFRFi7s/ZTF2ae0YDxrJB9F4a0nbguJDyz0v14fUSGtLKrCthYbBWk8Y7OMAuJsDvRIN7uE4Mc8zv/71r7nfvvCX//wvcM5wOr5gjGeJYh5sVHJHCTnnWG53GsLzLEoOG77JeTunhO+pf86OYoqa78QYGadDD5gQVFFKmWE44Kzcc1p5mlakKAdIY+mH29zHiAF0436/8Xx+wmqIccX4gHeDmM36qHQYHdZqluWddZ2ZhiPeDeg+2dnvEe89RenHgUwr+czbtokeOWfZTJRiPLw+Cor9YCbdZDmM37dF/BHOsnYtsjPiC1ANUnLSFTdgnKa0Qs7SWT76A1bJmpZS4vjpE63M3G43cuymOJse49v9HqtZXN/auD5S14yD6fKhSGlC8Cm902a0RncMmN7JMDVT8kqMG9+8PhOs4X65yjNwPnOZF3JxzPP8mCaJ6VN90IR6M2PHYplWySlymI7MpbFuG9450ipF7RgCjUgIwrGmT1NkIlulQaAtqWhq6RG1fZPbP3vwlpQzuSScVtR5Y5gOoknO8SG3ckFIKPMibO3bciHGyOvTc0fRHbjeLoQQWGYpkp+ehDoiOtORNW5sW8d3VZjfP6O15tOnT5Qqz3CMEh6zfw7duchGZ5TR3NYNlEE7C7kwjgGjIW0z9/uV8eD4/V+9scbEb/74jwjB83f/6IVf/epX/Pn/9Zc0LPNSmKYTaxQ2d+xr1nCcSD3Nje5RKaXgnWYYxWTYtOix7/MsWunO5K4pczqdMKVQFBTdO3D1Z80QsydlRmJLPA0DXlvQjZg3lBlFk28cMWfevn7FWfl8gxYJUdPhYYhM28w3rwecgRoXrPVM00TOkdtdCEJaBX744QfG6SRppMYwHk+8Pj3z/v7edb/yzBSz3xMO3fdbS+M+z9jgeT6eWN6vDIN/6Fx3f8+WVJcfyjTgdBJdOGYglsgahVeMbsQ1YbXBa0PMCRNkLS7rIvhD03DB05Dfs5vlVDdhD8F0I1ph22TSu3z+TE2R07evJBQzoJs044wSD4a3DuODTNuV4na7cQ4TeZMJK306seXufzIVg2I6BHSrrNss69+ur2Y3ECvBxdWM05nQpzRrLHzZMto7fvXr7xgGz/bPL6wlcS+JosUcWdfMy/EsDT5VRXqneJi0l02mut8dQ681NLk07sssaL5woqlukiYR08JoBOdXYukNJU3TRkgo3vPy+owy8PbjV1nL14Q2MB0cMc1oNWCUUCxyFKa+9iN+cJQi3x8x80/+yX/xt6eT3Hoh0WpnX/IR2bvLImiaWH7ucBR2aSmNVrqnv4kLtBZIraB1kYAOJ6NE2TxHsePNqwgyOsOVrleS9yPmg5+bRwBiEvbstkaySigMsRfmdU/javQCp1GKuKitlc6gsj29TyvR+1hDus+PjpbpN/u2JShiGvRGC9PUW1QtnazR9UogJ/x9BFIRQ47Sj7EwSAFcU0S3XbwucpPdIKFqxQYrD6KTg0iMWfTHRgxnpb+/nQaybRvDEB4Fw/6j+kFGqBxCXlDI4hGcQpuGKuKmTUm6csoqSj/drjkxHAJNKfzgmaYDqY9ya81d41klbrgKv7kpJd9f667+TsyIJULt3OROe1DastSEsZa2H7hQ0PWwlEzpFAOrDbWJG1y0srEXo0i0szFoLYlrTSlq73DvhUQp5YEC2++rDxMfMr40UuyWKkWBMsJ01nJDS7FmrOjSmpAj4lbxfk+nsl0jbgSXp6VbUJssEjtvtdZGbt2UFBy2QdzHzRXO3fAkyVsRpRpbbrRBPagAu8lOG0nSOp5O2GEg18LQC4L5Jmaplltnn0tS2fl8pCm64x6KMVDEuJGTyEy0k2cC9onH/rkk8fJwOJBrJK4SDWto1GrZtkzc7jKBcSNaWWKSkZ3Ie4w82V2eoZSkscnhRfNyfuJ6vZLiSsvC3JZDpAErngjg/+NeV49/vn/nj2dzT2psEh0+Oo/Ritt9YcuJcBjR2pBKoSpYaHhvSaqw1I349kbofFWtd56sppTK2tMoQxhwPXFRa0tthlQqb2/vMvo3TiYIWVFbfRzMd6qJPFSSNGZNIEeRUTkzkaokfmob0DbT8s+nFu1x7XbdsJhDPwy3+3gzt0rOBa8NwTqykibIbV1wtjOnS2EMnjAMnI7CTr7c3mk1Y9VA1SJtk2doxzoKnq71A3JtTTZaJd8zzaK1yPVCsGhjUWvqaE6HMtIwmKYJ6wzOSScLbaXjVGRNvd0XQhH9/Z7WZa2Rw48xHAbPPMduVMxo3buHusoko0sHSu1oQ2cZDkfifCd4wd0pJQXeGAa+//YbLrc763IjJ80PP1XCYeL55YUYK/f5/RHb7AfPyXti6SEf5zM//fSZYTigrCH4gfn2Fev8I2Ftb5RAn972PWSaJtIys60ra1oZrcVoWae0tth9IubENJijRNp7bx/4TYkBTmiteDqdWbfU1ybRu+ZSZL9uhZozt/eLdPvyxtPLa39PHu8kJj74IyEE7svGMMqB5XL5QgiWMFhKdaLXzxtNu945lHS/Q5BGzlJkighwOp3QWnCPztnHtYhF1tnb7UaMmetlwfuCckWkUlW+I2MEp2e0TGBqFf1wyZnRBwobOS6EacS4QDQSwS0T325W955qK7WuD/3weH4mpo2EoWqNe1B0AhrzWKdTKrJ+2a4jb4WcC6ZJxgFa4cIu94Fx8FiNFODTkVKRgw+KhBywrNbowVEK4k8xmhIXrA8c/cCyRtbbO74dsU7htRaSSK04o3hfLqhpwO9kqvXOcJBmiHOOvMnrLt2wPIzyvPlcyQ1ykwyE0qC2KKaIKhI9pSqtZwNs24dc8P39i6TpqU6M0pqcshyqM5hWaEZoOKLTBhWLUNIMWO84n8/8dX/+RnSSn55e2p/92X9AoTHfV2FtDhLIkZK03ktpjxHYrv/aO0JZS6Kaa3LztlLRgxTculWO09i1r0o0QzSqtaAMqsOorQJjFbV3S52XRWHXMu+nz9PxSQDYSS7+cDhKClcVV7Exhmlw7IxRYwylx1kDPyv+5f2ZvaujBei96xw/JAydx9zZwt4GapK0GWMM78sMtXIYA60kcc2H4dFxyn0EV+MHB3p3nt9XGT3s+J6SMm4oHfsSRaMZAkY77j1o4OeazL04qLWRk4x6je10BiNYqf3zGqM4T0dZxHKUTjw9ZEQHcqoisPeVON/RVQ4J0zhwCAe2nFiWDZTEDJvkyU1OzoVG7BrYScnCr/VHpGpT/eSCwvjAPUc5lZeKqoXQDRg1Z5kG9AkCqeFH2x21u5lHNpqXwyvaWVIVLFGqDdPyo3OwX6N94rAvyLVWMnJ/7IbTdV1/cW/kJiaz8RBY7ivTEKTzEVdJO9ITW1xQSjqmOwIRZJQHOxIOgj89JDi5d8Od7+77mBjHnnRVE+Mo98GXtxvj8ERx8n7TMuO9ZQoDMW5s3Z1urCd25NPxNOGsF3lDVaxrxGq5P1Lt977RtLSheiRrKSKtKEbc5DHdCE4zHmzX7QskHyyqRzzHsjEeApcvX3FWd/2qZ0tJZD1mEHKN3WhUvJVQirSJAWwKw4cWuj8PKSUOY+BwGAjO8vnHP4hsQPVAoG5suS67N+Hj+9wxhKUUXl5eRIISIzQnBX/JWAWvw0TRV5QbmNeNeauUpsnLhjGOtRgqWtIby4ZdNmpbCM6Tt8z9PnN6fcKYD8xTCAGrImE8oLXltmS0tkzBUUrly9evKOuYjmdSDyaxSvcuixFTXhU6Qityvd6/vOGnJyxKDsrGYoJDV5GX7S760sfDMUbGw9DvY+k0z9uKaXLAb9pw2zL2HhlOE5GKG8U1vy0z59Mka0lcSFtksk0OnLWSSkUpibNubI9naxgG2QsQFFlMG14rVPcH5NpRn07c+5bKNJ14+7ICYsLWBm5f3nl6PmOt5nAYmOeZnz4vjzX/drsJOq+ujIeTHD4xGOsxceF2u/Hy8kRDKCB/+cOPUnj2qZiskZ0+EoJMLFCEwwhbplFI68LL84llvbPOV2iG27yS20Ypmen0irWW73/1G0BRm2FdV56mp4cpmCL3Yx6H3sEzGC2d/+l0JG7LY8/MOZJy5XQ6UfokcOwpdcchYJxj3RZMqwzGYcdOkkr9d+TKLVWCUpSU8cFhnZOwC+/5+n5ljRveB64pYY3iPEiRbfyEMQ7noeaIzYXgDPfLhTUJTnQ8hC5DKnLv50xTmsttlo5/mrler3x6eSV4T+zouK+3GWMMXz5/Zp1nzucjm1YM4yghJWvi+6cXcrny6ZMYLfd1FyNrQ8mebc3crqtMmU2j6QZapiRVJV6fP1FSJt1mnHPc1oXnT9+wfPnM+XDgfBxZt5mCxzhHbYr7svF+lWCZcTr2PVNkiJfLheP5xFYzl4totC1S0OVkGfyB4EcUmTVHlNXgLfM8cwqB0NPuvt47Regk4LHbdSOuC6/nE8EYWt+3yioTwXCa2Gom39+FYKEtahC/y9El4lbJWAbnWd/fWW43zi/Pgn+zgnFbtpXvvvlEWRfKthKcwwRDXCTGetkSYRjJDeZUWdcoen4XuK/ikzi1SkaRtKK2xGm01NgzDqw02rYUmeyB1ioueMYxEEvm8vYj85L41fd/wv2+PA4PNqduZK8ytTOGJVaqaoTgqCkzWsP/+D/8Z3+tTrL53e9+DwqdAwAAIABJREFU9y/7b/6V//zj//K/+t1v/86/Ti2NuEqqlKoGg2FdF1LcsF5jTcVa4WSmkoRP6SwBOdU4b/BO2MRowV5Z72hKlENbzShnaVYTS6bUjLMNpepOKdvxpmg99u5MwzovufbKYq3DO0cI0rqvXe8mXIaG1YqY7oKUKQmlGuMoJ6DcinQOC9zuCecmGBTNGrbeKZmOR5z1OC0d0ZjEtJCo5JjxBUpKMk6rFdc1ZjlL4lSl58cD1gnlodWGrQ6rLYMfoHVHuhbdjul/jWlDobDGIQk+FasDRlu88zIyK1V0vUgEaNwizgYk1U40jOMwCgdaWw5hZFAW2zRjGLHKsW0VlGMMI844WhHphTUw+ZG8JiGENAmKyUWzzJGcKrUAVZGJVKQDa5SmZkVcMsqI9jiMI34InJ+fiOWCdpplk+CS4+GJgzbo0qBIB0wpBaMkaq2XBUrDHg5oFdkjt6UDIaPmeUsyStKNdbkiQZwKa3S/DqIh1lY6UyIJaTQgGMmrF+pGITjL7XLBTwFtFds801LhNB4xGJy1eG8JwbPFDT8Is1SS/SCVyOQ0h3FAVRiHEdUkxMU6I92O8pFgGLTounJO5CKRwDYErveF1rTIHUrCWk1Jojl1zsnYEcGkSRGgKd0hf7sn5jnKWFbL81WVmC7WLUMpondrldYqa4pyGLANNrBeU23rC5lEgRtru9+gUmtiWe5c1gvKNNzoyGRizejaeHk6MRwCJS8oMq4mWoycD0eC8Yw+0HLGdu5oo5BTJARLrI5pmNBVMx0HbvGOHyeMNYTBQ01oVbHh1CcKUiDnVEkxY5xHG8VhGhiGkZwUuWWMM6Syic68FVpxPL88Mwyer19vUOD5+ZXj8cg2X5kOjrTOTCHgvcY3Ieycn16JuXI+DzhnWG9XNI0pBNYSKVVsymjpYB4PI7lECRSi4awg5ygi3wrGkLaVoDVVJVKKzNtGRWGGURjdw0ESK2vDYojJYl1AaYexvUtdI7lzq0UCAjEmwigpZ8FYdC2MZmMaDizbneCloBrHQMsbaZOkwdZE178uN0pthHDA2gBVSSeyGabDAWM0tWRy3pgOHgOo1FDVYM3A6fmIUqLjzCmhmqKgud7u+N5oKDnhrMNbR+1Gwh37NowDqJ4w6cQIF/PMcZq6frzJ/UBhOIxE49hKo9TC8/EkJihruF2vnM4nQCJ2GyL9qjnirEHXglFwOh1oRLRWtCJdzvPzE/frKqQOJKVwGA5IkVwJwZOrSNZu9yupRMZp4B43DtNIipGUI+MYSDEyjA3vKiVlLANBn7hfV8I4knPjMAxCa+oa25xmcjUUZclNwiualqmp8Z6gNWEMGKdYy0omU6IGDEU1Sb0zENTI5D2TF7xmMYVM5rauxJJknbISXV76xHLZNgqQ0VgfwFhyrczzChh+80e/wTtPjhmNwhmHNZbr1y8cx4Hf/vaPeb9d+Oa7b7m3iq8OWw3BGlSoeC2Jibfbnft95n6fSUWBchQqTYM9WKqueFsYvOPpeGQaRhyemleoYo5NReyqqvSpFYpSNWusXObEGhMpJunGFk9RXhIlq8EaRysZZy3XfAXVmA6jyCu1xVlJV1y3jdwUuRrQGYVmqJaxKtRyQxVFsBbnvewxWqYzh2DQWrHlSvWOpBVbrGAMRffsCaVwamQp0FwQnlcBvSU0gjf1fcLalMJaIdzkeGUwmdEV/vjliaE2TG0sa8ROT5h6Y57vpC1xev6OmCCXjZobVh9RzdJYGEdw1mBMQdWIpaGqx7iG8+L70Vb8QHoMDNbKdK+KYgAXqCi+3K4Y7zEhkJuikFlKBKsZDx5tNfP7ZxQygdY28Hle+Wf/9H/7q9/97nf/5F9Wn/7N6CQ/v7Z/90//fQS78kTOmbfPXx56Wa0lvjX1k3NFbgTQ3djzgZTZtcyN/IiB3iHlLScZS8Aj3EF196PqI0TTReCpcygP00AIgbe3z/JA9tG9UUqcxN1ZCr8MOym9+Nhxbcfjkcv8LuQGJ/xdpQyBJBrk/r5SyQRraLlIUp3VMrrUnU3bOxR7xznW8jChjKMg13J3vO4cW28sKVaGQVzM56cjSil++vrlwUh+jPCCaKCM7qEhnf1cd2RV19BK+IjwpnPXd+8Gt6GTJx6mtN5NTUW6Gap3w3b9988h/hUenaodpJ9S4XQ6UWvlcrmIbGbwVBT32yLhAcPUZTLzAwv4gXcrGGNlXGUMzgbKJtdB3ruY3JaSxMinBLd2WxcM8r52ZqPqOsxtE5RYjD1gRsP9fufXv/61FJTr2sftPIwy0ySn/GVOj+9wXaUTsq7rg9mdokwmvLGMx4mUto4o3DugjRBGSpYI91Ijp+D47rvv+Kvf/0StMB4m0VB2XbyQQjrHWzusdzJRqZV5WRjGjjREUGS10mOEZZoh34fo/CldC67EBFkVxE5f2A0qMUaMbRzHs5iIKNQWiV1L6YcBhWFNEaeOgjPq70c3uWdFk4ygtQxAw4SRt7c30Uh7ec+TPbBFYXuGg8gtrK6SStgxkS8vL/J8xYikl3XMXonEoinzzPl0kuurDalHMrdWxKTjLc4cWZblscbMs/CAtbWAcNhBczo+c7m9Y7yTSPramK8XBjdgTE9+pE9gOolg19nO89yjpSu6JubbHW0CBTlIyJhRY7vH4Pn5yOVy4+v1Ih3jzpqttUpSY59gxSLeAYow5N/e3nDa4IbQk8/k3tbO0nJhnuX+HceJuCXe3i88PZ36ZxfW6E5u2Tn1+xp8ej4J6i137JnXtCS/fyf8bFvk/OnI9XrvSDbZSCcXHj4OMXeKbjNuopv94NlKKEzwY9f+igxuPJ5Iaev3e+H19RWUhIUs84bWH2va4PxDp59Ln1B2vnWMmXGYRDZVhTt/PJ7wvndrS2bdEtcloqyi5YSuwjpfloXn5zM//vgjz8/PXC4XfvryxuvrNzgvvGNvg+imW2Yce2IkG/M8E7PIgZZ1JW0ZUJzOrzJ+NxLM0xCqiR8Hmu4T0iZs2ZzEjBZjlHRKLZpN3Rw0Ry6appUUEkBZFoY+vm4dj6aahqao3edy6s+G1hrT96CqRFt6u10oSzeoBUsYOg1GeTkYLxdCcPiecDm8PEOpeCQ8LDjDGiUtMqaVuOtI2Tn++jE5O52fZV9KqfPZ+6QXmda+fvOJBvz000/Y44japBE8BocdFLWvCfs+1lojKUtwjnGwBGsI3nUc2vZYN/fJQguyt4XhAMjeXCoEJ/tf6emuX7aNwVlGayVJNouULvXvrZXMGPoey4JBdY9BDy9LVZp7FbRx0rld7igcio6YVEUkksaIvNHoXh81lk18PLVLWectMux4wlYpWfagoxuJNVORfUprzSQWroeuePc8xSjpq4fBUnLkT377G8qyoaoibonfv31la/DdU6ApzZYyP/70FT8c+PbX31Oy5svXKDJOV6itMJgutyipS24FLdeamAZ3X8G6ZDmoGA+darImmVxVtJhAe703mIJV9sGX38PG9tRQWddG/qf/9j/926NJ3gvL/YY0xqA7P7bWXjTlhjFWRgOtSQoNPcq6yAOWu+6u9e7ovmjvyDUjvbeOV/vQFpZS0EhbXvVesmyQqt8cUrQou2PRhMSwJwH9PLkNoMSCbpq85UeRPLeZtIdmqNhT7UDljFGQcyH3FD+rLDWJptr5A14Zak9KMoruEB/QGq7zQlY7PaFHWWsAJePOzjE1RhbWfZMRCUlB69q5jFLw7P/OWtuNeUmKXsT0UxG+cEoJ6/ZQlw/GrRA12gd5pH0kE+5j4qEfWpQxNOTAU1oj1/oYZz802vAo5EGkIbsu2ipF6dIRY3qqoHdEGq1kUD2IpnwkgUknGJZYGIZASjw2HGNlhFgBWsY5y3LNaAXHaUQhRUzqiXQSpRp4enridhej057ctWvZSy/SBPvzcZ88jJv1QytqvXze4AXKX1thGj0LBYlUlmt7PD2zbYkY04PFuW0bl9tVRtLaQLSUKvIQOSxocTbnRKma2N3iElEuXF7Q5LhyGMZH0SMHH/2QJhhjxFhVikRfK4VViqz1Q0K0E2BQPZESgbi0Ii7/XUahVP/jLC03rNbU3FjuK8U2zs5Kh61rqlvLPE/fsy0r22aoVegwe1GYS+eQaxinEaVkA73f79zvsjmejkP/vQpnFKoZtNFoPXIYPeuSmG+RW144TFOXQRnSWvCIAfF8lPS6e0nYHrO8dWOawhC3WcbQHXxvrMY+PYkEpU8WbDfkmF4c5pwp2VByouSNgw+Mo0PriTXS0Wk9Yr0bI5VSrLMc1oINOOOxPX5anrtK6eiwUkUf2mpBYcQ139dVESyprnlu1G5m2zFZwzDyjTNscSGXyti55VXAIgzDx0E7xkjeImiNHwdqa6SacM5SqmK+3/FeDEk7+1wOVgWlNLHLwmpN5BKxVuOcppHY4v2xJljr2FIUQ9JwpKFEenUVj0fsrNXL5SrhEFVSRnMWiZ5W9meUAN1RB+pxqFjXlRSlyB685/3tq0xpvhlpufH+9YK2Bmrh8uWCJJUZcjasy52bgeAdedt4Op9w3krYEwqtHcFYzNgP261ArWjbmKYDaluxuYIOkohWGrUkEhqLRykjkfExEotESivjGLUjbpHuMZPkQ21k3e/kI90g1kIYBHvonGOrhYp4U5oSY6JTstccj2Jg3NnttRtv3t6/AhU/elwY0U0kLsMYHqPu91WexZgL2jiCk/u45IZqlVgaWWVU88RN0bQiFgnyMtpQeopHczt3uzz2EqUkCEkhB3IdZLpxvc0Pg1i8L6hq8DZggxeTpNrAOpx1j73/fo/UGrFaiZm9dLyZlph7mcQV4tzIXYrz8IMoyJ3JLslxAauEZW607NVBGUGZ1YYJBp0hA9pprLMEJQZnWpH/R2uc9czr0hszFbs3kZRm2yqlKUqtFJVRtTAouVcGI42NVUUJvgpe6DCrRMo722havDBGCx7PWydJsDlDreSOr0PJ/ixfucJ6uV8H5TF24OvXmcvbF7wfBIigNFopkUkZkUVO5/EhR5OIe0F6Wut7E6xRK0ILKkIQeTTiaNATgfvWKMb6JGZV2dvET1CbAS2Y1bOHbRFiTum89aqU7Dla9vj5dv/rlqd/czrJ//Df+4+k+5Y797MXQ1uSjmTKdNSQ4Jik6yXdTY10HrciTvRUCmPv9gCPblLobvkGjw71bkazqm/sXX9srBfjU9uLPoXtJzHVwPaiL7eP4ufhOtdSPM7z/Cj2lmXBj8MvjD/ee0yO4oaPG6kUrHdMwVJW0X9lFE2bXqiKG16rRqDTPLSVEUvOZKS4jat0hQ5hoOQs3SnvH/zMvfjf+vvYCyLROQqp43x+ZpomfvrpjS9fvuCD0D72rpdSivl+4Xg8imN57y70QmmXJdRaqVEOEluPRx4Ohz6+335RUIOcXfZoVd0LL2vco3M+DD0NqZseVD85xxjZUqTlj2hrSWTzvL/f2Gkj8l01asucTlOnXyQa3dkdEy03CfAIDmr4xcFhp1IYq/HeMs83KeKdZl0q0zRxv9/5/e9/zziOnJ9fHhSQ/XN+fb9Ta32YB/bO9GHsR/iaxFDV8gNfWHo62fVyJ0wnMSNg+Pa7F663rwQjC0jcKtYPzOuKs4FtvT82Fu894zgStyahAJuYU5XeUwpbjw7WMn2p6tFNle9Vin3dgTO5iOvdGHF678+b956XlxdutwtNOWpV+BDk9e9XOaCVjsADkh3QtXGw0iVNvcOlinQGaktIQAvUZBg6kmmnCtQkk4PSpKOmtXDSAZ6enh6TnL0bpGqDnHBW44wFq1BthZxoxXNfFcXINWrKME4TuRTuP37m6fnE3/t7/xqfP//I//MX/zefPn3i85dbLzw9pSQO00AzmufTmduysm6JRMUPDoomLqsEkljQh8DlcoEsk4Pvv/uOmjK3y53hSRb969eFy+VG37vxPeznfhXerR8CWhn+8PmN2hp//Ks/Yl1nWo+sPZ1G7quQN+Ky/mLCVOmH1+6nuK8LwUr6ofeebUsiKbHwzTdirnq/fBHvxTTx/v7O+/u7EC26ode4gKoGWkcekjkeNbVovn65k2ujlkYYLEOQbm3KKzt5xTrdX2uRZ+h8ppTcteBiNCyl8OXtyuV2ZTw+4ccDW8zUrfZ1uBAG3+kS8txb43twVOlrTKV234SYUw2o/CAExU38HNt84en8wtvbGykVMcaZjidtGaWN6CrjikHhneZ+u/Bv/Rt/nz/84QeZNnrPljLLvHGb7xglHTPv/aMoeL++8c0331EVXC932ROSxHSvsVKbYjo8M04HjocT1jnWJOteVTB0AoVShlZ5JGXaTl8ZvcMawxwTLnjm3nmr255IWmh9XT46zRgcDf9Yj9d17ci7M7f5Lglyg5MCJ60PM5UYqjNLrR1RJpPCs3PQCpdlA9XEgI10r406kqxiSyvOao4uMI1jRy4mYpSY7P0Q461jGkZ8Xzt3Lrvpf39fZjELNkNTRog7ZGzwDy3yrm1fF6kPVEff7cE7Qcs+N00DPohBeskdQ9glZ4J8VKzzIvteL5ajgloyfjewZU0sldKbPct8Q/XwoW9fvyWlxHx7h1rIJXL0TvT2MYoUpDXc+VtaU1zuPYCjRpletdZxdAqLPHOH5zNhsHy5fOF23/D2TFNtH6RTS0K3inaWcxihp5yWVlnTBxZ3J8rEGDmeBMt6udzwViYDLgi6V/XJlmlQ642X50+PLIWUEre7TIS0HTDGyTOTM3ndgEIY1OO5c70JUJqE3Djn2C4bkSr8ZGsF++jlNeZVvq/cp9djN8G2Cus8k1MlTJ41bkyH46MJ9z//d//JX6uT/DeiSH5+eW3/9r/zZ+yos5/zOP1wJOfG5bogLELN89OEbrDMV4zW4syuUiRX3eNhS/2QXvRRZl5uDwMcSk6usJ9U5MvMUQpM42xfaF3XISa2ZcN7j7cOtxtoyL9gTiqlsL0zOY7jo5N8OBxYc+f09Rv1er2i+gnJ9gQ+asU7OE8nqIr3+0pqMDhP0401z2jVGKokcXnlcIeBguiWvffMa3oUDjtbNDiDwnC73QihSxP2Yudn7vyY7hwOB97frwD8/b//bxJC4J/97/9HZ+uOH7KSKgXJvpkqpXg6C55nP4DUWnFK981zT8eT91m6FGD/KaUQt5k/+ZM/4cuXLz/7feYXBfjPR36p59b7QUYpqg2P19wlG41uNDNSJAY/ok3hPl95enrqBUXj9HQmOM/75zdu1xnlPL4TPPZglqGnw12v185RfcJYxY8//kiO0kXZu8iCJwyPwlqIBIHD+YUff/yRy+XCjhtc1xWve0CDlkLhfJxY00zoyYWlwNcvF+5bIoSRWuD105llvTHfvvLp0yeWraCVFXNFgVbTh5SlVuZ5ZuyjwTVuQgaolVIdnz69oFXj/e0zxmrQrt8X5iFbWdcV26kGMRXRwCuF6eElu8TBOSf66qjIufU0u8Tt/QvH4xFjLNoaxsOR9yJhOvnyjjWN4/lAqhFXd9OsJDV571F949AGYTsXiXk3Ttjnuptiag9F2fnKOwpwGk8sy52AYhwGeYYGQ45feDkdePt8ATNREGNiaZWIYUsRvW6CghwM3juG0XI4DFyviet14en8Sm2JeXnHjSNjGChZkVVjqZViG0d3QjV4Hhw1LmxWDniHMHB7v/ByOlNSpqTGe75zu914Pb3itOPrunVWdOMQJKnuus49JhrOL69yCFiKwPt1JaYNrSVCeuxJbYOXg65BOmUAW4qPZ9PqSik7hlOSI1sVyY73lpdX6S5++/0Lt9uNr1+/PqYiMUYOxxcMBlurmCtZSSRygbUalnVjPJyxVXO73mUNCUIsOo5yoJsOZ1pTXC93OdzcvzIMB+b7Ss6Vp6dntPLMy8b7uknHulQGO8jhoBS0gZQ2nNp57hbVyT8lS1jPLiU6TKPEiT9JiNEf/vATn16/5f39nfNhfMQM0xsyymmC0dR0Y0mV8fSEc4ZpHLi9v4nz//OPfP/994LKahLt7JwDbWhV8ed//uccj+eHGXPdBAE5TAdag9oUS5Eu3JeLIM/8EDidTkyHJznw92nOIQzkJtd/XWVSuRuyff9uclqlM28suRb0cOB+v3PyR+7XG8U0olY0Y3my4FTl6zU/MHkghfeyFkmKVYJ/M8ZQi8j1TJOJ3MEJLnVZM2o8ijdoW/BOGioindR9QliZbxF9CtLlNoaD9ZQskdjDMBA3CaHwvvbIYyOhOMh0URW5b253iUHPrVKL5bJllp6g+M35zJf5/TGVvF6vOOc4jGfBKCojAU6pSGhL13WHwaAUGNtoHZGaO1lrOp9Iy8zxKJHIe4fSuYA1CpTIeIp1KGe5XCpGaXLaCFbW5R//cGMcB6aDxxnFut4hv6OUozSNUoFa4Z/988/SqPIjp/PEcbLc+mcTSEiUOPAgUh5M5un1iVos86yY1xtPT08yqezAglteCE1jm+L19RVtxRiaUuLer6VzTuoWm8ip8vL0Det9EQYzGbxFOyMt9Zg5PxuW28JhnPD+wOXrFW3kNdwoxffS5Z1l9hL4FHZpJIyD7nkImdgnYTZq5pbZh2paKXSRKXVBCW7Qyf+/xcK23nFOAo0AnMlsuTCcXthipijD//Lf/8d/e4x7/+gf/ePf/Z3f/l2g4J2MtVvT0DRpE+2qtwrdhFZBExRSqpqmBI/VqJxPI9Nocaoy+IFaMrRK8A5nDUkZYpEN23qH8wGU3TGdVCqtZoxT1JqoraCx1FRpRaP9hFbiqI9pw3sRkOecBTVnHao1iaHNjVoKussjakk0Ay2vtBLRBTyBL9si8PWqMNbzfr2jRkfaCtuyYZBwgp0vS2qUKJGupYkIvxIoTRBla9xwWk551o9oH8hVYzFc5wVtArUjjshQs1wrqwy6KU5PzwxuYDpMqArr9YIqhVNwkCIGkQO0XKlGAUaMMs4TY0LVgjWGXHM3Dmox+lgjiYi9U99a6+FbMgalj3tDsDw9PT1QalIQBVIuUBXBeEoqqCbGPqMdqmlirJRENxFJ578RqUS8nyREogkzu2aFM41tnklbJDhLzZm3LwtxS512oVlTwVTRXWvEGLTFzLJklBKdcdoS67xxPJzQYSTmTKyNhGJJcrAaBukQ3y9XvLUcjyPHwyBSmKyoEQwWZxRaK8IYKLUynQ94rJggjWUMnml0xCpFxDiOEmNqNV4PeDtwPByhNtb7DCWT+iGNnAjWkOOCs4PMyVE9ltRIIdEExyVdN4tDYbTqmKVMGEfG8dCLa412nlQWrJcx2zAExnEQg+G2iqu8JoI3pGXGUDmfJ3kujOtdJktrG05DVSKpqgWWe6T5kaYDSjlSSRIRay1bKzJmtp7cYEkZjMMNAz+9vZFr7QxaRdrEpGWNo5bKaXzGacvb1x+BghsUecuEYZDhu3PkIpHOhYpSQkJw3lObwobAsi3EPtGZ5wXjD+SSySVDaxgVKFZh3YB3Ad0UJlbSbIi3O6SNoBqtFtYcMQ1KxzttSyKXyopjHAO1NEnlcwecTgSr5ZlsBUujaiTBcrAEo5icoXiHCZowwvE8YpXFuxGjjci6sozblTFUrSitgdJiPCoFdKBp2JLgACsGqw8Mw0TKFetk+pDuM6qHJ2kq1oDSFZcGcqrMcQVV+JPffEsloXPj6XDg0/mMcxpa5eXlCecUy33GaGk+bGvh/f3K7XZ/sGyXVLt+2+ODR6lCs4VUVqxuEuqQEx6YgsdrSX8cnOd4EH1iqz1LRjmcG4h143ycOJ8m6rb0tUszhEBaF5bbV5xpNEpHu63CnzVdokaDLJtHrRmSFopKUxgX2JritmZqcyjlZI9JmeAMpUd2W2u6oVAkb58//0gthekw0EohmkxplfM4okrlN6+fCFWjlO+kG2EOWw21aHKXK2IUyogZsOyTsF6cC/dbk9aVwTkJ5NFVPDeALgUfBnQYOYyBYQzUWNDKPJJec8fOyR6qsVXCs7yxXT0i94Mxmpw3ahGmcNOKyYP3kXX7iWYTSy1C0kCSb72zaG8pS4FmKKnivBzSB/sE1VGRDq5tGauFkCTxw43WNMGNQOJ6XzEucL0tKOO6jln2jBwLRllJdWxi/KckWl0wRIwzKKMwxhL8QK0a4zxWKwanH8Y4o0w/9HdTqza0stJaQWWoGNZaibk9kkG3mAnjgfPzJ+7bTM0LX1PGHU9slx/IVLJ2RCVR5t4rajXyjAVFVZW4RgZzxGvPsiWsC2SlUdYzWoVqhdMUOATPfLkwniTeuaSGavJHG09rGaMLNW+YBuEwyQSxJrxFgHF5Rm0JqzUNR9OGOUloSauNEitPp1e21ChJGpUxbbQ9Cbb5PkGUKOnYIl+v70zjEWuAVoWWhKXQ2HLtxmHFMm9sRaGtB6UpuYo8rCN3S60S3qaE1bzlwhgCRhkp+lMiDA6tLZfbndYEcft//tP/9W+Rce/ppf3pn/5DcokonGChftZhhD7CIT5GHUoZ0BprXU8vKzgnp5RSE9aIQWLXfGqtyXVPh4OUN9GCutBPka0bOUSVXOPWdbJNErmMlchaKscpoLvJwfmB+S7j82Cd8EfV3vGU926MiPJjlvS72+VKrdCSZhn1o4M+DoJS2pYrQXWnqRb49o4yoew56vrx2XIfXWstTnpnBXO1bBImAOCqMEtV74qVUqWA3vW9XT/pjCY4xzfffKKVyl/95V+wriu//e0fczwe+fHtC8u8CbamO9vFTS6jzRZlQVbWPDrF3n7IJfY/Wmvuy/zQr7YmHTVrkI5Xl3RIdKXoHb110j1QMt6y1nb2bpTOnzFoI4YwQctljFXEdeN4GLBas20RsqYacc1LsS7mgbU0jNaMzvSQCUNJsZshZPyqrSGEkVzm3qURVue6rmTlJXo5F5oSaQplH8sWnk4y6rncv9Ja4/XlO2JM/PDDj3jv+fb1BaXh/V3G+t47VKSPoze2rZv8mmPbMgrDeJCun9yLAAAgAElEQVQEN1JjRxX+HDe49u+35kTNhaenE/Mi10skCoJ2arHH3vb1QGstLEzXx6m1CjM0Z1zwODtKZ01Fcoxd75kf393+HUsXd+goN9AqkVPh89d3aJqX128puvTuXiatG2kT7a5yXhi7QSYy83pnCLaPSD/MLruOvbXG+/s7AMuyMU3T/9vemcXqtmV1/Tdms5qv2XuffW5XHVBWEUjFSCMiRGMQDKIS8YEoRmMFIT5oIhqNAV+IDzyYGFEj4YVWY1BTEiUmagiSaExEwEoQKcsqoLpbtz1nN1+zutn4MOb69rmXGKqgbp1b96x/Utnn+/Z3a6+911xjjjnGf/z/bAp/+FEreFuqiQZK1SkAEefn4Y7Euavox6modGhlYwjaEoxBB4tsObiayhc904k4TnhfU6/K0GNU3U/VNVWHOADjtCJJoSVVs015UVsYpgHrdE7j4vwpqqomxE4TlHFS2b6YSKLcX9VCD0hIHFBpwxh6coowJYzfnDo7QOGNcpI7UzvjWGgOE1Vl0V3IYk1ddIG1JS+mOIFR3LhQuUtfledpTEwpq947idoJq80Wm/VnhxwZSUwd1FVTqF6qAW5E6Q9XV1cqS7bRIeMpRzUvKRzFunI4X2ZZepW+644Dxt3p31ZVdapyDmPQjoQYsmiHZL/fI0ZlGmOcCNPEZrtlu91qUWXsefXVV/HtwPnZ05A9hx2EKTOmG3JMrOuGdr1mmEb2uyuaZkXGYK0jJlOqoPvCM5116SN9iKfuTt/r8C9O96zZGRYMxq/wleVwc00YBr7oXe/g4x//TXy75ez8HFs3SkETwxCmQpsyanHeq67/3J2tve4vx64/aejPHU9rLWmclFsalfOpvN8yl1PswY/HHldpBycLZWgVNkb/u1m7lnynGjROEd/UjClzdXXF29oa7zJIwFcNQ/Yk3F0c97oXhe4WUyQ9Vys1PjFR6MapmIsYNg1UVgfcH+3WPXjwCq13dFHoR6jaleoDjyoVt9vtWBXa36EMUm82Lb6ySu0o9MOcM5vVWgesW+3eSY6q1hEjIRvIxeVTpNBWMmIhBY2D1nmOITCEiTwWg66kPgHGGLZnFWnoYPsMXci0TNT0jFG7oZu6wplMtVqTxfDCgysdThbPKzdK91PZ3IZYKIWEG+IILiXqCt7z7vvsD5FXX7klZUO10kH4foJc5CGnfsSIw68anNNDbM6RdasxaurVMTLiEbHEDF1/e6Jaxpi5d+8+h901iQFiKFx4x7bWbujUF73kSveJYzPhciaWDr6YSu3MS7c258zFxQU5CMe+O0lyOud0VislLdoUB0axhn7K1GLpDgdcU4MRxkNmmgaeubxHGAeswE/8yPd94QzuKcW0cMkSuFMbRnFnITvrBs/OdR7nVN8WDCEklBJP4WG5QvYv09JiTgnz6f87xDJRmpgQJBcu7ZQRI2RUsN57T+0cU1AeLebOIluMWsPOg1DOVBhJJflSn/a2rRl3+0K30Gtt1yumca9Tys7TGEMYRmrrIaKVbBGcE272O3W6q5uixZnLxpsZo1ayK+OwAkN/JAyOQz9gnJ7+p5RxdYUrShMxqgVkjJEMRW5LK7Fj3zMMmpRqorEpDkURazyrjRqOkjOSy6hjUlcxXyndoWob1TrMmVUZ9Hl0onhWfIA7TrTSAuxpeHP+rHN3Bh1Tr0nGarUq7eGiX1ychjDC7G5ond4LSSOkTOUdgRGxQl9OoSKcEvzKl4EMZ/X+Fv1R6x1t3WKdissnOA0qzutJk8ipbMyOfgzlkKbVFV87+nHEGbg423A8HgnjkdrXtLVTVY64ofHVST+563oqozy/mFUpo59GAlICbSwcSkN+xM3Rlnt80uK2Fu8quqmjG0aG+aDlVEIrho6mrcumGsp9qLktiayrPEmMdjSynuyDh7ZWzv7NzQ1tpeoftfOFQlLRjUPhQwe80/spGZq64my9ImdRK1qrCX7Trhhrx9WrPVYi03jUoSWn6gUpqY16mCa1Jo1qxTxb7c5JFeg9TUnd6Oq6xnvlr41Tj5WsVbdRJ61to5JIkhxedGhYq4eoNS8G7zxTUrnHeYAxTqqU0bQVYYys1yuCH7m+uqFtLhCxDGEkJaUueGNJWc1bxiRMCcKQMAbqJCXpV6OPROmWiFW5rwmubm+onadptKMRQmBV1dokeeRw4wg6kJm042bmv31ZrzN16dECwvy+fo1Y57C2IhaVn1Q4i5VOX+nzWzmySIl9KiCGJJqtI4a72ZG+77nddaybGitqQiE2IllIUTdoQZ9hirHGqtFNtPJVUYPQWDEPIoZp4OKsxYhAmvDeQm0xtdqpp5QwBKwBZ7Wlb51apYtV7fPNSukpOgOzIpMYh4ndbsd2o0ObZ2dnTLHjlZevscaz2ZyTcyB3RfElRjbeURthv58wNmoXdL4XtiJ6RwqRKegBTYzBessY9Nlcb88IIXDoRk1YjVe77inSH3oIHieGKWdefPHTfPITH+PeM2+j7zvuPf00xkJVt3hTqseilXU1eFGTHwSd5jOZ88v7J/MMay0yBdIwsikzOTHfOYFmU0yaXI2xKql6mhkoxlb6e5a5ksLxNsZiy4GmH28ZxkS72nC+XZNzUqm4pMZfQdQQaioHRAl3TrspB8KUkKwOlquqRZJWfnOGGIQxRma7+RAGurFjc34GQ0ftajbbFdc3O555+il8dcHDhw9p6ku6rlM5wjL/RKFmnoarfVV4umh+ETM5WRCoTIVIojYGyhB3isrpFcD5GpxmIymrmo0YoWocPiWur1Xpqq0q3vv2S1598Xk+/tLzrC+f5bC7IbmMqVpSMnT9SOsdhwev0qxaKmsKN3zDaj2eaG7TmKiamrpS909jGiQIoT8Sxhta03BvM1uodwhC6xpi0qQ0SiIby+1B7eXbWvMMrMqPpqCKFDnlcjC21K4YihnD0B2YhqN2ONxG792oChnR64Y7EVTWcZogQaomjFPZXp0PCCAW75XGOY4ju+MBgpxygJzVMr2t69NBJqSolFVryXkidDrjMCtarNctVhpM7NhUkIfuM0tOeRNXkmf5tkcJ5MYUpYDZMjklbYXUdeGADsTCwXT402l5Dv6zbJevNGhqYialFVWGHnJ5sI9HdXIzmZAmbOW5WKkEVEh6Y+cHyhglzc+blS9SaSFoJaVtW5q24nhzIEni8qn73FwfcLbmvBLW6zUvPP9pUkoqgedrjlNXBNZdSSaLE16nXJ5VWyx/90cm0UGGd947p/WOh7uHhCkyhshqrVJgh0OHrTze1Ry6o1ZUi3zMnKAChHFg3bas16uijFEGsqzSX+q2JYFKNxWnN2u0laFJiVaksEYlXFI6DYDNf6uZ19yP3enezPzRuXJ7koFJiaGcuL1V/dwYI20zC83rgxBLFXXXq6FADFr1Wq0bam0NACUpwnB7nEoFO7Je6/XsuyPO15hKZaDyNJCyOoTlJErT8XqK9nMVUZSOME0TU5JT1XkK+v0oqgO9WlecbWq10j2O1HXNK6+8wjAMp+Gym51WnGZlgbqui561IWV1bry6usK3K5pazQ3UGdJwub134mDPz42IcNvtiopCeRaMZXc8IBnu3buHEdFEkruD6bxBzQOYsWycxhimFDHW0h8HbBbOtyv644GqdqcBn5xVBnCIZSBGLM6qCsTY6+8YSqWqbvXQNwyDmgAZtYjOOXP//tPcHm7Z7XaEmPG+pfLqYvX05X0NjuPE9vKiDFXp7962Ld1xKrx4KQfbUHjwQQ91WXXYjXFEE8oaNojJZEZsgvV6W5JGXbcPb2+VY2+LzF2nFafb7pamanHOk0OkqhqsUdOd3f5AP4U7B8YsZLFkX+m6ilpJDVOPJK3GOmPZ9Xu22/MyL6Ci+lPodeivUdvVaZporWfMaj5QGUvjPL0ErDhtVUedKI8nSbv82vtbEsb5QAUgOdG2vhwGanIyTGF/UjiZ5RBn18Laoklu1HmLdtsgKTKOASOefTdyGAYuNhudUpdINpnKtGW9qZpEirBdt6cZgPkwnVKi3Sp3Nyd9HobjgXuXZ6gL2+1pvfdJO1c56izEdrXGr+ryfEZSVl4tRrg8u6Bq1EzndnfQezrEuwNokT8TzlTL2CZi3iESkbglpMhxHKi9ai4bu8e7mq6PkB03t53GrcZh5W7w29uK/Xjk4uKClBLX19pZotiSm+LWCIb9TU8II297+7N0xdRnnHo+/H8/yjj2vOe978Zay/n5GTkVGUevZgzOOTWMCEmpJkbVEfpDfxqunSvZ1lr64opGLAdBMUyhmEhZr0liMbyhOOHmctDyaHcihUm7fl6LHauVSqZ13UFVp6xAXSM5M426T1BVSDl0WDH4sidR1JjyFKlm6cRpAmsZotJXrBEkRaagEnFPP3PJ8bjHeYNMkcOoxYXzzZbrV1+laqtSpAp3z0PUYcWQgypBFGk2lYHNyvN1vqgxeFVvcKI6x5JOex9JVbeMMWSLighklRN0WfC2IojGx6pqePDqQ/q+51u+4j7vfefb+OBHXuBjL91irSczcHb/OQ595MHDW6wVto1ndzyQnKOpV6Qp0AdVKFEaj3avvPe0ax1yDoceYWK1Ukum8/MzxnHkwYOH1NVau7TREqm4HSeyc0hZp5UXUtChSWcFV8y/1DWR13R7vXc6EJ8SnkzdrjHGMYaOGCfiSvWN0zhhxdE6TbqneI3DQoQpTZjWMk2WkHKhhhqmkJCyJue9dt20tFWt7pjTREjxJIFnbGLbnrPb7TlGPZyG4ZbKZO63hjx1fP3XfCXv/6vf/YVTSYY7+TQNhK91ppvfJ7uTYUM2mThpBTnmhDVq6SwoD5b42v+PnFXZYRzLKbjc3EdvtoglTpFxnLQendVy2hqDxMQ0dGUhABFCznijXL4E5FKhc+ZOoB6UDhBCwKJ0icNeTzH9FDA5ILUnOZUhClYIo5pkJHRzI454pxvKvMnNcmpAOWlPTP2AT4kctCWaUiBMZZE7xxSCVgadVoL7blRJGmNxRjfLQ4qnpFUy1KX1NcVMlsxY2tZTDGWeVl0LtcqvyVzdVMScyQLTlNjvVU92TsTng8+86c734iSro24wQC6ViInZxGGzPStSRGrwofJdAiKI8ZipR9Dqc0yxJAja3h76CZMhG8fZ2Ybr62usFS7uPUvXdZhBK5bjUJQxXMWUApLUk14eqb5likxOpiRRDl+SvjBFxrFDSnVuioFxhJRU77Jt1zokdBFPwxFN03A4arU+J4M1FdZU6EhGIgVI5m4tn6p/SRBzV0W0pw1G13hlHdEWibuqJkfAGsI40XXqLuasxYk9/bdzoosxJ8tvSapZPmtPr1aWOOgQWV3XNK1WwK+uru6S9DRXsvKJ1jMGtRjOopPLfbjrKIxdr9dcqgX7Y1+G7SqmKTIce0y9Zux6XnjhBS7OdHipLVPwM6VC26hVWR9a/Q4xISazqlfF7CVRe880qgV2U+lBaRgPIJk+gC0dqDDGU3VpHlqdaS2q4lKRy2aYQyx8WUMKCdesaX0stKeAZJ02SjlCVl1qJGGdJ6eAlEoNYsnZE2MGSYiBxje4rNPz3inFQ7LKcgmq1Vp5z83tUc1P7FrjIzpfMcfDR3+PR1V5ZlTOE6aJGAKVB2sr7cqIOxUatIujCbU4jxFVDDHZ0Hc6OT8NPdZDFoMrKi3eW2bTCVMOXjEpJcBKWRs50TQVwzBoN6W4V6ZU7HCNLUldJKWAcf4kMzirFaUQ8UUVJ4/TqWMmaMWKBLfXV5xd6vOlQ+H+tL5zUg7zZrMp0p1FIq/XjVmlENFhITTxbksxw1qoqppjPxTanepQ77sDlau5d0/X2qyKdNK3RxhjwDqtJBsRtucrDgc1lTh0R8ZUE2Nie++Shw9e4dWXX2a7rnn6YkXKlpAiElHHUoHKitpLW53fSTlzHDvlsaNVfZsDtsTreR9UPXWLSSq72gc1s/J1Q4ojBsEkTZYNMJXhdG/VQXQYBsQY9vu9Dr/VtTrRhawUyWzw6KBVjsKUVb97lmDVdSnKKy3dJmdgnALOWiYSMajBhR7CM2KyDuJ6T1U5jMvK3Z2KjOeqIpLxTo26ZjrINArJWV1Ap+fckrN2Leq61gOs93rQklxMrSKC/i1mmhSlK67iaiDO4ZzBBDApEkVnZqqqwleGlD2/+Cu/xsNXX2HzzHs4v/D0Y2BlI23rwTn244oYEuMk5Fzr71NFKu9wIaPiruVrMQlbVWtwmf2YsbZlHDNj7kk315AjjTPUVmmcYh0TBglKQ6VolDtbY5zDBO0ixhSLwkzJc5xXgxqnczNV41XTfxyIQdRx1ERiHjF9g7UGCZmc1TzHOYPHM3RBh+lMolpr1yXGQExGY4vTruE46myME5W2nbvymuRpMUAks99fU5uKPA/526wSfFMk1oaxD3zik5/+/yWjvwVvkkryZf4DX/NHXxO4rSkKBUWdIaRM5SxhijinHMdx1M8YO4FEVquqSGNVOBNPFcurqyttT6w3DIPy+mKcyim16MVax5QTY/l75F439aZVnURIEOIpWM9trHX7lLZtUIMFay02abD2Rm0tj+FIP/Y0ssYYbSEZsiaTKavuca1823Hs9XRttWrXGKcJOoWfy9wyLZsbWplQy+IIeeLpy6fp48QrDx5oVdjVDIOaliQMrlXJqBTCyaJ6Tlp9Xas9c5iofUVd2tSTSaWKpoogztjyt7bl76xDdFdXV6y2rVaCyvq93e1o6pqzdsM4jjy83ZG4M1GYeaxzcj5TWEJWmbTjbo8VhwA+qgRfkKjt66hVtEESYwwqz5TVpnzKUaWXuo4UVcItZVW7qExdvOMTtatp64axHzh2+5JsBZ555im6MZZq9myMoFPe3qnV8/l2RXfc6xoR5Xkm4Hg8YpwliuBcxdglmspD1mqbbh7tyTBFK2Gc2tNnZ+UwAHjrsFbbWbFUpcchkaLgK0cIIwOFk1UcCHPOnG02TMNIN4083O/IWWiqmrpS6a75+yJCVSt/MkypSBeqHnKMUeUSy8Em5kQjgstCnJJWgazBW8Nzzz3H1fUD9vtbrU63TRF0F0zZPA6T/o56gJo4v3dBONycko4xhFPV2qOqKW2zYr1Z8fDhy0hS/qT16sSl1e3uJKM3V1KYEk3TsNvfIpK5f//+a2SkBIv3ymXeDwfONud4YzHRsL89YB2vec4Bss/Fclpjg8QKEUO2QbmK1hU+Z2aceiQJTdXgq+o1HNR5cBXAV/Z1VAf9GbZZa5WfhAkJM0Zq74FA3RS5JVsTssGExHG/p1mtGMNswDNhvH6ubhuG4YgArdFD6aQcCZryDJoMoWgUr9uautHq9fX1LYJTya5ymJk5gCvRw91mszkZqyiNI7A/Hli1NZWoykX0gXFQVYntdot1QI4M/YT3FTEofa4bjhgDm3VDHCeuH95q5WmzJomqcGANpsi1kR1gcc4yTked43A1rm7YtjXHww1X+47tek0uzoDJQTeqUpFkVftIxejIJnDNikM/MQ0j3hmiXONscVKclL6GJEKM3Bx3XJxvqaxjs1qr3NVeqQFqPlLx8ssvYa3jsO/wlUVMQIIWTzCOzdkZx0OPaarT4fdOmSXSHY5s2w2CIRmdKVEDrcTzz/86jRMu1yvuveNtpGzJ1hFz4Gr3AO/un+QP50Foa1WeNOdM26xVajQE8GoitGnOGIeOcewRq0lRDLpHbjdnTMMRVBuFrj8AmTh2rFYbVpt7ZfDqwDQeMVIxHrWjZ0yHdRFJ2ibfHwbA0K42rLYb+sORlIImyznhXZH8qioqJ9hiYGOrmjFb9scDJkZWbcPQp1OVXdfjgW2zVfqSAwkDrbfsSicmBB08VIUkPRjkpHtO349FzaGBZLh/z2BM4OrlI8H5E41r7sC4ZNhsz0kJrm5uSQjtutbOmAVvDXk2q2m8yhmSSVkPY5++3nN5fkZjLdYZrm+v+JLLC8y6ITlD1wthEvrxRg9zBC0ASCQctVvmTYSUWTdral9zc3gRsZ7mbMsUkw43D4FweMAz97bcPPgU73vf+xiPhg995Hnq9QWp3oBYxhzZ7w6sm62W/2RS2kSsinHNEeuEdrUiR8FZqCrHFDqaymOiIUliihMhWqaY8Dmy2a7IORDTxDh2rNYN45CZQiIZh3UVIam7bj9ObDZnxKnn3e98O/v+lo9//JPKRfaq7ONyYr/f89TlPSrnmAoPf7Vu2R21I2OqmmmKfNmXfxHH/S2/+esfIyM8vBn4Dz/zQ184leTZcWVuNXvv2e+utXpTHPCsNQgGEeXwWUuZ0NdKnp5nFSklQvEqnytNOWfi6efdVdqQ+au2OWfDkjF0p1OKtvwCVZFpe5QGEpNq7JafjNKVLcZmYtF8FrE4V2vLWCw5Q0iR2HXUdUOZrdPkobSwkNe+lpOBgEEKYd2IyqRQJI602p6UC5rinaFFfkRyLQtSTuxzgjbTIES0lW0euZb5+zGr9ugp80WTxJnjPE0jzqYT9cVay1ioGnMyPFcTV6uVVsgf+Tlzx2BugWWAWFpw5XoFSHZ2NNQDg2TljDun1XgR1VAWKxBT4ZYaTbC9R4sfiTjFIvAe6aZOKxDOnwbBxrEnpXQKqGPhos9DQfcvnyLnSBg7jDiOxwOIuizWpfKVBbrC7XsUc7XqzrClaEiaO/OVw0Glr2bjlVnnWIdCLNaDWME4ozapoNPnRIwp0mhFxisKRcLJ0FQ1Riqaqjqt5bk6oNXYu2p5yvrvkBMmz05xmWSUp6s0gQmiENChuXlznzcQSpI8V1gqY1VNAa2Mz3QS5xzWO0wIuqZR3l8uD8ecqDZNVdZOUp3k8iwcj0eVOnxkIM1ae9LFnl9T1noM+XQfzFiMLZwwDh0x9azqNSGoZf3Mg+171Qs1xbaYoOoXtkZVA2R2nZNTpVD/tgFjVFpprtzOHZSZIjI/a3OSPFOLjDMY0SpZKpzolCj3KDOFgQqjetoWJGo1baZXzHHKGlO4nKXrkNVoZ1bmyeZOKz2EgJmkxFlNhnzhH1urHbtD351i1CxzeUr8vS/PzUTMgXXhEqaYmEaV0Ut5ovK2VKWEoY84FzFWK3wqx1kGOEWdGU+HiXIP+2FUWgSWGFW5I2dDjCMyJYiBMOncRd/3VOXZs1YPhLqw9G8wDko5GI49JiSGoFVSa1DJtjxXOHWCfo5Vq9XqFCMfdXgEne84GVlZyjOv7pz3Ly946aVXirteMZ0qh6d54FVpS6vTukgpEtMse5WArAdxIvvuiL3d4/wK33oQS1Ov2O+7099tvV6XdelOXM152M1aizhTKuZyenaylCo6d4UZI6ojb4yDukFM4hCGu+7srHVvlMsvtStr0VM3FcMxPdL1KvEhqkYxklWveN53keLwiUodxkwcApNQBkp1sDvnCWMqyIEYMjHAYQi4MOGNkKYjg7dMIZFR6s2890wBrE0YsWqrI/pshWnAGeVp5zCRUyAle4obj3ZAdf5IcN6qsVkImiRnkKxJ/2mGSdSMDKlK3IikaSTjCSi//2a/g7EjWiHkGpO1AJizwVqNabnM1Dw6j3CXr2gnmS7o7HAW4jjyZe95L1/7+38f/+O//RzPPfMsRlpeuT4ScBxSwHnL4TBAihirMx/6g4JS9qxQG/35vhJIlmkYCQGs9WA8xlQI2kmovGEYJlaFVmeMo2nPePDgZbrjQIxw7AbE1zStZYpTMRTKhDCSS6Hiqcv7XD+8KfuA4J0jjAMYw7HvGI2FFDh0R6LJSmmzRp0IQzrRmNbrNTFlLktn/jPBmyJJNkZYb3WjCulADpbz8/MTH1WT3nyqeiETWQZcNfNC29OQlDHKxwJO1sBzMlJXNcbMNAxDVTvipAu3H7SKIkkQq7xZrYpMpBQYho5QDEfmtqVzjq7TG6ccZW3tilH3nzBGhili2xVNZXmwv6L1hrpukRx12CyL6iZG5TRFhErUEWflHBZhyAPFl1cDE2VTVvskstHAis2krBzTKSfe9cVfxGG3J/cjko1WU61jSolUBrrmQDEH6pASTVURoy6sqkxkHzv9+66LnNnsvkNpSe12e5ytOBwOGC+cnZ3hm+qkYby/3UHQpK0uNJK5kge/9UEPMTLO6hkhErJyjqYMWcAZ1UuQMk1dtyucAOPIGAa8sYQYS/tbcF4fkJQnYrKEMRHF4HMmBT1iSVJlDb33geNxT9v600YCnDYP72p8ZXnh+urUYtyerRiGgaFscFVTY5IOb2oiFBES46h/+4uLC3a73YlyUdeauM6GJN5r2zU6D9RUJTDHLFjjNClLmTAFcGo9PvUTNBqY0jhgZSDK3UBKGEZWq2IM4yvqwqfbDzu6vld+6DjgXC5t4Imh74kp4pyUaq9ynJumYci6UYdxUO3oMBQO7Sy6XygcpQtT+3Sq0LqccLEjmkcGncqEMkB30GA5BrXXtlWtVcyUwKopkOSMGEt/VArT9qwp/MCiZFFUGU6DakUlZii/a13XrNdbUhxoV45DuOapZ2sq7zgexzK4U4ZF641u9kZjShzUrr0bj2h3JZFiBqtJRl3VDN2gh6C6KVQiAxhMOXDPh6E5SZ45ok+bmjT2rC7PCVmH3JzXZ7+q5q8Vw6gdgsv799h3RyQHTKx00M3ofMThcCjOjELslW5mGqWISAIxRjn+AseoB4FhHKlrLTCkqCoHN8VN8rm3v437AleffklVR45H1Y+eDyjlPh6GDgHsZsU0dVAUTvq+px8OrFcN3mkMOBwOVFXUpLpteHj1CuM4sl6dqYHHVi3dp2nCDKbsCRPjkDDiS0U+g90wxEQ37rg9OtrG0TYtw7FTK3SBY9fTrFcMMXBxfkYcJ/pjx/2LSw52x3FUq3pvHc4K4+QgR20TW5Ubvb7qqJsGWzvlRCM6w1E4m3oACqfkedXqUOPcxt+erUjpPq5u2O07UoRqs+J4PJ5izDRNqu6RwSQdUp4T2O3FBSEFmjPH2O/ZPXiVl54vcxIAAAdtSURBVF664amn19TrFSEHnnn2ku1WY5EOAirtZNW0NFVFOA2fQ+Ud2QkWy9AdcUaovGWUROUd3tQM/UQaR5BEJpSKag+STprM6ghpaNYNbeMgO/o0YYwUYwzYri9QFYpQ9KorYr+jNqY42KkST0csCXDNkAwmWrxXKcZjSGSx9DEQpx1kR1V5xtEwTgNdN9LFQOOExlmEQLMWhjFQxXnIsNAiZYV1DuyAhIEYjuSUWFdb0jTy8KVXtTPtzhniVAahy6FSMilP7PfX2gWwQiSA1KSseudGnLofOqczRc5QuQbEkATe++7n6HcHrFElraZ1uNywHzqOUbvklQcrSqwIU1JKYjYId27AdVUzOxBKbglTJBmDGMcUI+d+zUd/9cOcOcM7n36Wqxdf5NMvP2C/66jaM5p2Tbs1tJst+70lTgMG4bm33cfKJdcPO7BCN2gXJKNUuKth4tiPGKkw1hLNyDjsaCt47vIeNo0cbnelax047rWgc7HdcOxHYjKYqmK7XTPGxGat/PjjYWAaR1566SW68RYwtG2tOuBAtkKzWXHs1Z766acu6YgciaxXa7yvdTaodrz44itqpuMcUz+ddL8/E7wp6BYisgM+/LivY8GbAk8Brz7ui1jwpsCyFhbMWNbCghnLWlgAv/t18MU556d/uw+9KSrJwIc/E27Igrc+ROSXlrWwAJa1sOAOy1pYMGNZCwvg87cOzG//kQULFixYsGDBggULniwsSfKCBQsWLFiwYMGCBa/DmyVJ/m39sxc8MVjWwoIZy1pYMGNZCwtmLGthAXye1sGbYnBvwYIFCxYsWLBgwYI3E94sleQFCxYsWLBgwYIFC940WJLkBQsWLFiwYMGCBQteh8eeJIvIt4jIh0XkoyLyvY/7eha8cRCRd4nIz4vIr4nI/xaR7ynvX4rIz4rIR8rXe+V9EZF/UtbGr4jIVz/e32DB5xoiYkXkgyLy78vrd4vIL5R7/q9EpCrv1+X1R8v3v+RxXveCzy1E5EJEPiAi/0dEPiQiX7/EhScTIvI3y/7wqyLyUyLSLHHhyYCI/JiIvCwiv/rIe591HBCR95fPf0RE3v+7uabHmiSLiAV+CPgTwPuAPy8i73uc17TgDUUA/lbO+X3A1wF/rdzv7wV+Luf8pcDPldeg6+JLy//+CvDDn/9LXvAG43uADz3y+u8DP5hzfi9wBXxXef+7gKvy/g+Wzy146+AfA/8x5/zlwFega2KJC08YROQdwF8Hvibn/HtRm8bvYIkLTwp+AviW1733WcUBEbkEvh/4g8DXAt8/J9a/EzzuSvLXAh/NOf9GznkE/iXwbY/5mha8Qcg5v5Bz/p/l3zt0I3wHes9/snzsJ4E/U/79bcA/y4r/DlyIyNs+z5e94A2CiLwT+FPAj5TXAnwj8IHykdevhXmNfAD4Jpm9whd8QUNEzoE/AvwoQM55zDlfs8SFJxUOaEXEASvgBZa48EQg5/xfgIeve/uzjQN/HPjZnPPDnPMV8LP81sT7M8bjTpLfAXzykdefKu8teIujtMW+CvgF4Nmc8wvlWy8Cz5Z/L+vjrY1/BPwdIJXX94HrnHMorx+936e1UL5/Uz6/4Asf7wZeAX68UG9+RETWLHHhiUPO+XngHwCfQJPjG+CXWeLCk4zPNg58TuPD406SFzyBEJEN8G+Av5Fzvn30e1k1CRddwrc4RORbgZdzzr/8uK9lwWOHA74a+OGc81cBB+5aqsASF54UlLb4t6EHp7cDa34XVcAFby08jjjwuJPk54F3PfL6neW9BW9RiIhHE+R/kXP+6fL2S3O7tHx9uby/rI+3Lv4Q8KdF5GMozeobUV7qRWmzwmvv92ktlO+fAw8+nxe84A3Dp4BP5Zx/obz+AJo0L3HhycMfA34z5/xKznkCfhqNFUtceHLx2caBz2l8eNxJ8i8CX1omVyuUoP8zj/maFrxBKFyxHwU+lHP+h49862eAeQL1/cC/e+T9v1SmWL8OuHmk7bLgCxg55+/LOb8z5/wl6HP/n3POfwH4eeDby8devxbmNfLt5fNLZfEtgJzzi8AnReTLylvfBPwaS1x4EvEJ4OtEZFX2i3ktLHHhycVnGwf+E/DNInKvdCa+ubz3O8Jjd9wTkT+JchMt8GM55x94rBe04A2DiPxh4L8C/4s7HurfRXnJ/xr4IuDjwJ/NOT8sQfKfou22I/CdOedf+rxf+II3FCLyDcDfzjl/q4j8HrSyfAl8EPiLOedBRBrgn6M89ofAd+Scf+NxXfOCzy1E5CvRAc4K+A3gO9EizhIXnjCIyN8D/hyqhvRB4LtRTukSF97iEJGfAr4BeAp4CVWp+Ld8lnFARP4ymlsA/EDO+cd/x9f0uJPkBQsWLFiwYMGCBQvebHjcdIsFCxYsWLBgwYIFC950WJLkBQsWLFiwYMGCBQtehyVJXrBgwYIFCxYsWLDgdViS5AULFixYsGDBggULXoclSV6wYMGCBQsWLFiw4HVYkuQFCxYsWLBgwYIFC16HJUlesGDBggULFixYsOB1+H98xHhmti3zCQAAAABJRU5ErkJggg==\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "for image_path in TEST_IMAGE_PATHS:\n", - " image = Image.open(image_path)\n", - " # the array based representation of the image will be used later in order to prepare the\n", - " # result image with boxes and labels on it.\n", - " image_np = load_image_into_numpy_array(image)\n", - " # Expand dimensions since the model expects images to have shape: [1, None, None, 3]\n", - " image_np_expanded = np.expand_dims(image_np, axis=0)\n", - " # Actual detection.\n", - " output_dict = run_inference_for_single_image(image_np, detection_graph)\n", - " # Visualization of the results of a detection.\n", - " vis_util.visualize_boxes_and_labels_on_image_array(\n", - " image_np,\n", - " output_dict['detection_boxes'],\n", - " output_dict['detection_classes'],\n", - " output_dict['detection_scores'],\n", - " category_index,\n", - " instance_masks=output_dict.get('detection_masks'),\n", - " use_normalized_coordinates=True,\n", - " line_thickness=8)\n", - " plt.figure(figsize=IMAGE_SIZE)\n", - " plt.imshow(image_np)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's run this using our webcam" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "colab": { - "autoexec": { - "startup": false, - "wait_interval": 0 - } - }, - "colab_type": "code", - "id": "LQSEnEsPWKMj" - }, - "outputs": [], - "source": [ - "import cv2\n", - "\n", - "# Using OpenCV to initialize the webcam\n", - "cap = cv2.VideoCapture(0)\n", - "\n", - "with detection_graph.as_default():\n", - " config = tf.ConfigProto(log_device_placement=False)\n", - " config.gpu_options.allow_growth = False\n", - " with tf.Session(graph=detection_graph, config=config) as sess:\n", - " image_tensor = detection_graph.get_tensor_by_name('image_tensor:0')\n", - " detection_boxes = detection_graph.get_tensor_by_name('detection_boxes:0')\n", - " detection_scores = detection_graph.get_tensor_by_name('detection_scores:0')\n", - " detection_classes = detection_graph.get_tensor_by_name('detection_classes:0')\n", - " num_detections = detection_graph.get_tensor_by_name('num_detections:0')\n", - "\n", - " while True:\n", - " ret, image_np = cap.read()\n", - " image_np_expanded = np.expand_dims(image_np, axis=0)\n", - "\n", - " (boxes, scores, classes, num) = sess.run(\n", - " [detection_boxes, detection_scores, detection_classes, num_detections],\n", - " feed_dict={image_tensor: image_np_expanded})\n", - "\n", - " vis_util.visualize_boxes_and_labels_on_image_array(\n", - " image_np,\n", - " np.squeeze(boxes),\n", - " np.squeeze(classes).astype(np.int32),\n", - " np.squeeze(scores),\n", - " category_index,\n", - " use_normalized_coordinates=True,\n", - " line_thickness=10)\n", - " \n", - " cv2.imshow('MobileNet SSD - Object Detection', image_np)\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - " \n", - "# Release camera and close windows\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Now let's open a video and try it out" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "import cv2\n", - "\n", - "# Using OpenCV to initialize the webcam\n", - "cap = cv2.VideoCapture('dashcam2.mp4')\n", - "\n", - "with detection_graph.as_default():\n", - " with tf.Session(graph=detection_graph, config=config) as sess:\n", - " image_tensor = detection_graph.get_tensor_by_name('image_tensor:0')\n", - " detection_boxes = detection_graph.get_tensor_by_name('detection_boxes:0')\n", - " detection_scores = detection_graph.get_tensor_by_name('detection_scores:0')\n", - " detection_classes = detection_graph.get_tensor_by_name('detection_classes:0')\n", - " num_detections = detection_graph.get_tensor_by_name('num_detections:0')\n", - "\n", - " while cap.isOpened():\n", - " ret, image_np = cap.read()\n", - " image_np_expanded = np.expand_dims(image_np, axis=0)\n", - "\n", - " (boxes, scores, classes, num) = sess.run(\n", - " [detection_boxes, detection_scores, detection_classes, num_detections],\n", - " feed_dict={image_tensor: image_np_expanded})\n", - "\n", - " vis_util.visualize_boxes_and_labels_on_image_array(\n", - " image_np,\n", - " np.squeeze(boxes),\n", - " np.squeeze(classes).astype(np.int32),\n", - " np.squeeze(scores),\n", - " category_index,\n", - " use_normalized_coordinates=True,\n", - " line_thickness=5)\n", - "\n", - " cv2.imshow('MobileNet SSD - Object Detection', image_np)\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - " \n", - "# Release camera and close windows\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - " " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "colab": { - "default_view": {}, - "name": "object_detection_tutorial.ipynb?workspaceId=ronnyvotel:python_inference::citc", - "provenance": [], - "version": "0.3.2", - "views": {} - }, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.6" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:680c92def2c0c956590efee8f5f13324a72ca10ea9485b9fb48dfa0b2508fe11 +size 1423523 diff --git a/23. DeepDream & Neural Style Transfers/.~24.1 DeepDream.ipynb b/23. DeepDream & Neural Style Transfers/.~24.1 DeepDream.ipynb index 48e53c5a7571075a658cd8598c96f93a97d9ba66..66f79266f99e312dc9032b16abbd8f7357a795ef 100644 --- a/23. DeepDream & Neural Style Transfers/.~24.1 DeepDream.ipynb +++ b/23. DeepDream & Neural Style Transfers/.~24.1 DeepDream.ipynb @@ -1,309 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Implementing DeepDream in Keras\n", - "\n", - "We firstly load the InceptionV3 model which tends to produce some of the best visuals. Feel free to try VGG16, VGG19, Xception and ResNet50.\n", - "\n", - "Code obtained and edited from F. Chollet (Created of Keras)\n", - "- \n", - "https://github.com/fchollet/deep-learning-with-python-notebooks/blob/master/8.2-deep-dream.ipynb" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using TensorFlow backend.\n" - ] - } - ], - "source": [ - "from keras.applications import inception_v3, resnet50\n", - "from keras import backend as K\n", - "\n", - "# This settings disables all training specific operations\n", - "K.set_learning_phase(0)\n", - "\n", - "# Load InceptionV3\n", - "model = inception_v3.InceptionV3(weights = 'imagenet', include_top = False)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### We create a dictionary of coefficients quantifying, how much the layer’s activation contributes to the loss you’ll seek to maximize" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "layer_contributions = {\n", - " 'mixed2': 0.7,\n", - " 'mixed3': 2.2,\n", - " 'mixed4': 1.2,\n", - " 'mixed5': .2,\n", - "}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Define our tensor that contains the maximized Loss (the weighted sum of the L2 norm of the activations of the layer desfined above)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:Variable += will be deprecated. Use variable.assign_add if you want assignment to the variable value or 'x = x + y' if you want a new python Tensor object.\n" - ] - } - ], - "source": [ - "# Map layer names to layer instances\n", - "layer_dict = dict([(layer.name, layer) for layer in model.layers])\n", - "\n", - "# loss defined by adding layer contributions\n", - "loss = K.variable(0.)\n", - "\n", - "for layer_name in layer_contributions:\n", - " coeff = layer_contributions[layer_name]\n", - " \n", - " # activation gets the layer output\n", - " activation = layer_dict[layer_name].output\n", - " scaling = K.prod(K.cast(K.shape(activation), 'float32'))\n", - "\n", - " # we add the l2 norm\n", - " loss += coeff * K.sum(K.square(activation[:, 2: -2, 2: -2, :])) / scaling" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Creating the Gradient-Ascent Process" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# this is the image or 'dream' :) that is stored in this tensor \n", - "dream = model.input\n", - "\n", - "# Obtains the gradients wrt to the loss\n", - "grads = K.gradients(loss, dream)[0]\n", - "\n", - "# Normalizes the gradient \n", - "grads /= K.maximum(K.mean(K.abs(grads)), 1e-7)\n", - "\n", - "# Creates a Keras function to get the value of the loss & gradients wrt to the input\n", - "outputs = [loss, grads]\n", - "fetch_loss_and_grads = K.function([dream], outputs)\n", - "\n", - "def eval_loss_and_grads(x):\n", - " \"\"\"returns the loss and gradient values\"\"\"\n", - " outs = fetch_loss_and_grads([x])\n", - " loss_value = outs[0]\n", - " grad_values = outs[1]\n", - " return loss_value, grad_values\n", - "\n", - "def gradient_ascent(x, iterations, step, max_loss=None):\n", - " \"\"\"Implements gradient access for a specified number of iterations\"\"\"\n", - " for i in range(iterations):\n", - " loss_value, grad_values = eval_loss_and_grads(x)\n", - " if max_loss is not None and loss_value > max_loss:\n", - " break\n", - " print('...Loss value at', i, ':', loss_value)\n", - " x += step * grad_values\n", - " return x" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Implementing the Deep Dream Algorithm" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Processing image shape (353, 529)\n", - "...Loss value at 0 : 1.0304297\n", - "...Loss value at 1 : 1.2510272\n", - "...Loss value at 2 : 1.6979636\n", - "...Loss value at 3 : 2.271832\n", - "...Loss value at 4 : 2.8770106\n", - "...Loss value at 5 : 3.4737113\n", - "...Loss value at 6 : 4.0769672\n", - "...Loss value at 7 : 4.617928\n", - "...Loss value at 8 : 5.15317\n", - "...Loss value at 9 : 5.685014\n", - "...Loss value at 10 : 6.1906824\n", - "...Loss value at 11 : 6.645993\n", - "...Loss value at 12 : 7.0928683\n", - "...Loss value at 13 : 7.5481906\n", - "...Loss value at 14 : 7.9534693\n", - "...Loss value at 15 : 8.386046\n", - "...Loss value at 16 : 8.765054\n", - "...Loss value at 17 : 9.139767\n", - "...Loss value at 18 : 9.5182705\n", - "...Loss value at 19 : 9.86855\n", - "Processing image shape (494, 740)\n", - "...Loss value at 0 : 2.864695\n", - "...Loss value at 1 : 4.0144286\n", - "...Loss value at 2 : 4.9185443\n", - "...Loss value at 3 : 5.688157\n", - "...Loss value at 4 : 6.3830137\n", - "...Loss value at 5 : 7.0187526\n", - "...Loss value at 6 : 7.596686\n", - "...Loss value at 7 : 8.150836\n", - "...Loss value at 8 : 8.67249\n", - "...Loss value at 9 : 9.186928\n", - "...Loss value at 10 : 9.649975\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/deeplearningcv/anaconda3/envs/cv/lib/python3.6/site-packages/scipy/ndimage/interpolation.py:583: UserWarning: From scipy 0.13.0, the output shape of zoom() is calculated with round() instead of int() - for these inputs the size of the returned array has changed.\n", - " \"the returned array has changed.\", UserWarning)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Processing image shape (692, 1037)\n", - "...Loss value at 0 : 2.9274173\n", - "...Loss value at 1 : 4.0277452\n", - "...Loss value at 2 : 4.9098253\n", - "...Loss value at 3 : 5.6878753\n", - "...Loss value at 4 : 6.426328\n", - "...Loss value at 5 : 7.1218004\n", - "...Loss value at 6 : 7.773466\n", - "...Loss value at 7 : 8.408107\n", - "...Loss value at 8 : 9.042133\n", - "...Loss value at 9 : 9.666492\n", - "DeepDreaming Complete\n" - ] - } - ], - "source": [ - "import numpy as np\n", - "import scipy\n", - "from keras.preprocessing import image\n", - "import imageio\n", - "\n", - "def resize_img(img, size):\n", - " img = np.copy(img)\n", - " factors = (1,\n", - " float(size[0]) / img.shape[1],\n", - " float(size[1]) / img.shape[2], 1)\n", - " return scipy.ndimage.zoom(img, factors, order=1)\n", - "\n", - "def save_img(img, fname):\n", - " pil_img = deprocess_image(np.copy(img))\n", - " imageio.imwrite(fname, pil_img)\n", - "\n", - "def preprocess_image(image_path):\n", - " img = image.load_img(image_path)\n", - " img = image.img_to_array(img)\n", - " img = np.expand_dims(img, axis=0)\n", - " img = inception_v3.preprocess_input(img)\n", - " return img\n", - "\n", - "def deprocess_image(x):\n", - " if K.image_data_format() == 'channels_first':\n", - " x = x.reshape((3, x.shape[2], x.shape[3]))\n", - " x = x.transpose((1, 2, 0))\n", - " else:\n", - " x = x.reshape((x.shape[1], x.shape[2], 3))\n", - " x /= 2.\n", - " x += 0.5\n", - " x *= 255.\n", - " x = np.clip(x, 0, 255).astype('uint8')\n", - " return x\n", - "\n", - "step = 0.01 #Step size for gradient ascent\n", - "num_octave = 3 #number of octaves to be run\n", - "octave_scale = 1.4 #this is the scale for each ensuing octive will be 1.4 times large than the previous\n", - "iterations = 20 #number of gradient ascent operations we execute \n", - "max_loss = 10.0 #our early stoping metric, if loss is > max_loss we break the gradient ascent loop\n", - "\n", - "base_image_path = './images/aurora_norway.jpg'\n", - "\n", - "# Load our image \n", - "img = preprocess_image(base_image_path)\n", - "\n", - "# Initialize a list of tuples for our different images sizes/scales \n", - "original_shape = img.shape[1:3]\n", - "successive_shapes = [original_shape]\n", - "for i in range(1, num_octave):\n", - " shape = tuple([int(dim / (octave_scale ** i)) for dim in original_shape])\n", - " successive_shapes.append(shape)\n", - "\n", - "# Reverse list of shapes, so that they are in increasing order\n", - "successive_shapes = successive_shapes[::-1]\n", - "\n", - "# Resize the Numpy array of the image to our smallest scale\n", - "original_img = np.copy(img)\n", - "shrunk_original_img = resize_img(img, successive_shapes[0])\n", - "\n", - "for shape in successive_shapes:\n", - " print('Processing image shape', shape)\n", - " img = resize_img(img, shape)\n", - " img = gradient_ascent(img,\n", - " iterations=iterations,\n", - " step=step,\n", - " max_loss=max_loss)\n", - "\n", - " upscaled_shrunk_original_img = resize_img(shrunk_original_img, shape)\n", - " same_size_original = resize_img(original_img, shape)\n", - " lost_detail = same_size_original - upscaled_shrunk_original_img\n", - "\n", - " img += lost_detail\n", - " shrunk_original_img = resize_img(original_img, shape)\n", - " save_img(img, fname='./deepdream_outputs/dream_at_scale_' + str(shape) + '.png')\n", - " \n", - "save_img(img, fname='./deepdream_outputs/final_dream.png')\n", - "print(\"DeepDreaming Complete\")" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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 \ No newline at end of file +version https://git-lfs.github.com/spec/v1 +oid sha256:98cc7a5c65809d230cb3135888110b3be173cd62215988ca389d42ddbc956b42 +size 61440 diff --git a/23. DeepDream & Neural Style Transfers/23.1 DeepDream.ipynb b/23. DeepDream & Neural Style Transfers/23.1 DeepDream.ipynb index 2a42cd5483d599cc27f520603809f048b21d3c32..c9b7caeb200e4a758ad3d6c150ea9b40e36db08e 100644 --- a/23. DeepDream & Neural Style Transfers/23.1 DeepDream.ipynb +++ b/23. DeepDream & Neural Style Transfers/23.1 DeepDream.ipynb @@ -1,1206 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "uLzHIySHa1MN" - }, - "source": [ - "# Implementing Google’s Deep Dream\n", - "\n", - "We firstly load the InceptionV3 model which tends to produce some of the best visuals. Feel free to try VGG16, VGG19, Xception and ResNet50." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "7hqGSA5bHEIl" - }, - "outputs": [], - "source": [ - "# Import the libraries we need to start putting Google's Deep Dream together\n", - "from tensorflow.keras.applications import InceptionV3\n", - "from tensorflow.keras.applications.inception_v3 import preprocess_input\n", - "from PIL import Image\n", - "import tensorflow as tf\n", - "import numpy as np\n", - "import imutils\n", - "import cv2" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "xi8VFyeCOdda" - }, - "source": [ - "### Image Loader Function\n", - "Load the image, resize it to a width of 350. We then swap the color channels from BGR to RGB, and return the image as a NumPy array." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "o3B3JqDIOd2X" - }, - "outputs": [], - "source": [ - "def loadImage(imagePath):\n", - " '''returns the image pixel array resiezd to a width of 350'''\n", - " image = cv2.imread(imagePath)\n", - " image = imutils.resize(image, width=350)\n", - " # convert from BGR to RGB\n", - " image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n", - " image = np.array(image)\n", - " return image" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "wL-9AG8WOhQP" - }, - "source": [ - "### Deprocess Function \n", - "Utility function to convert a tensor into a valid image. It \"undoes\" the preprocessing done for Inception and then casts the pixel values to integers" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "ZNepmFxgOfbO" - }, - "outputs": [], - "source": [ - "def deprocess(image):\n", - " '''returns the deprocessed image'''\n", - " image = 255 * (image + 1.0) \n", - " image /= 2.0\n", - " image = tf.cast(image, tf.uint8)\n", - " return image" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "YJiQuQriOoTt" - }, - "source": [ - "### Calculate the loss after a single iteration of the DeepDream algorithm\n", - "\n", - "We firstly add a batch dimension to the image and then grab the activations, from specified layers of the Inception network after performing a forward pass." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "0fLK1GAYOkZr" - }, - "outputs": [], - "source": [ - "def calculateLoss(image, model):\n", - " '''returns the sum of losses'''\n", - " image = tf.expand_dims(image, axis=0)\n", - " layerActivations = model(image)\n", - "\n", - " # Create a list to store the intermediate losses\n", - " losses = []\n", - "\n", - " # iterate over the layer activations\n", - " for act in layerActivations:\n", - " # compute the mean of each activation\n", - " loss = tf.reduce_mean(act)\n", - " # append these losses to the losses list\n", - " losses.append(loss)\n", - "\n", - " # return the sum of the losses\n", - " return tf.reduce_sum(losses)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "JbeicnOOOtVM" - }, - "source": [ - "## The Deep Dream function\n", - "\n", - "This function performs a forward-pass and then taking the\n", - "gradients and using them to update the input image to generate the deep dream effects.\n", - "\n", - "We input our model (inception network preferablly), the input image, the step size we use for our gradient updates and EPS, a tiny value used to prevent divide by zero errors." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "rd89e5hKOppR" - }, - "outputs": [], - "source": [ - "# This is new addition to TF2.0. When we use the **tf.function** decorator to a function.\n", - "# TensorFlow will automatically compile it into a graph which leads to faster execution.\n", - "@tf.function\n", - "def deepDreamSinglePass(model, image, stepSize, eps=1e-8):\n", - " ''' returns a tuple of the loss and the updated image'''\n", - "\n", - " # Tells TenorFlow to record gradients\n", - " with tf.GradientTape() as tape:\n", - " # keep track of the image to calculate gradients and loss \n", - " tape.watch(image)\n", - " loss = calculateLoss(image, model)\n", - "\n", - " # calculates the gradients of the loss with respect to the image\n", - " gradients = tape.gradient(loss, image)\n", - " # normalize the gradients \n", - " gradients /= tf.math.reduce_std(gradients) + eps \n", - " # K.maximum(K.mean(K.abs(grads)), K.epsilon())\n", - "\n", - " # adjusts the image with the normalized gradients \n", - " image = image + (gradients * stepSize)\n", - " # clip its pixel values to the range [-1, 1]\n", - " image = tf.clip_by_value(image, -1, 1)\n", - "\n", - " return (loss, image)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "VAgK7I3KOvdp" - }, - "source": [ - "### Function that runs our Deep Dream Model\n", - "\n", - "Up to this point we can perform a single forward-pass of the DeepDream algorithm. We now need to design our training loop that enables us to do this for multiple iterations.\n", - "\n", - "The `fullDeepDreamModel` we will be making below will allow us to pass our model (inception) and input image for a specified number of iterations." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "IjrdcPLmOrzR" - }, - "outputs": [], - "source": [ - "def fullDeepDreamModel(model, image, iterations=50, stepSize=0.01):\n", - " '''runs the deep dream algorithm for a specified number of iterations \n", - " and returns the depresocessed image'''\n", - "\n", - " # preprocess the image for the Inception network\n", - " image = preprocess_input(image)\n", - "\n", - " # We iterate for the specified number of iterations\n", - " for iteration in range(iterations):\n", - " # use our deepDreamSinglePass function to get the loss and the updated image\n", - " (loss, image) = deepDreamSinglePass(model, image, stepSize)\n", - "\n", - " # print updates on the iteration progress\n", - " if iteration % 50 == 0:\n", - " print (\"Iteration {} with loss {}\".format(iteration, loss))\n", - "\n", - " return deprocess(image)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "oHbfAHoNPHN3" - }, - "source": [ - "#### Define the layers we are going to use for the dream\n" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "53jHz8SEPFh6" - }, - "outputs": [], - "source": [ - "# Chose the layers you'll be using \n", - "names = [\"mixed3\", \"mixed5\", \"mixed7\"]\n", - "\n", - "# define the octave scale and number of octaves (tweaking these values\n", - "# will produce different output dreams)\n", - "OCTAVE_SCALE = 1.3\n", - "NUM_OCTAVES = 2" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "22wweGHFPKCn" - }, - "source": [ - "### Execute Deep Dream" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 69 - }, - "colab_type": "code", - "executionInfo": { - "elapsed": 5201, - "status": "ok", - "timestamp": 1590903136556, - "user": { - "displayName": "Rajeev Ratan", - "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhBYJnwdIGYSJdvGmzIt64rYSF1dDuiFyfRw4Rpeg=s64", - "userId": "08597265227091462140" - }, - "user_tz": 240 - }, - "id": "3saPnc7EHVls", - "outputId": "24079aff-0a89-4d26-bfd0-c3427eca58c9" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loaded Image\n", - "Loading Inception Model...\n", - "Loaded Inception Model\n" - ] - } - ], - "source": [ - "# get our input image\n", - "sampleImage = loadImage('sample.jpg')\n", - "print(\"Loaded Image\")\n", - "\n", - "# load the pre-trained Inception model from disk\n", - "print(\"Loading Inception Model...\")\n", - "baseModel = InceptionV3(include_top=False, weights=\"imagenet\")\n", - "print(\"Loaded Inception Model\")" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "colab_type": "code", - "executionInfo": { - "elapsed": 400, - "status": "ok", - "timestamp": 1590902969580, - "user": { - "displayName": "Rajeev Ratan", - "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhBYJnwdIGYSJdvGmzIt64rYSF1dDuiFyfRw4Rpeg=s64", - "userId": "08597265227091462140" - }, - "user_tz": 240 - }, - "id": "h8PcVoyBMFba", - "outputId": "3a012970-df34-4136-dd71-85679439a9fe" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"inception_v3\"\n", - "__________________________________________________________________________________________________\n", - "Layer (type) Output Shape Param # Connected to \n", - "==================================================================================================\n", - "input_3 (InputLayer) [(None, None, None, 0 \n", - "__________________________________________________________________________________________________\n", - "conv2d_188 (Conv2D) (None, None, None, 3 864 input_3[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_188 (BatchN (None, None, None, 3 96 conv2d_188[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_188 (Activation) (None, None, None, 3 0 batch_normalization_188[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_189 (Conv2D) (None, None, None, 3 9216 activation_188[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_189 (BatchN (None, None, None, 3 96 conv2d_189[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_189 (Activation) (None, None, None, 3 0 batch_normalization_189[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_190 (Conv2D) (None, None, None, 6 18432 activation_189[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_190 (BatchN (None, None, None, 6 192 conv2d_190[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_190 (Activation) (None, None, None, 6 0 batch_normalization_190[0][0] \n", - "__________________________________________________________________________________________________\n", - "max_pooling2d_8 (MaxPooling2D) (None, None, None, 6 0 activation_190[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_191 (Conv2D) (None, None, None, 8 5120 max_pooling2d_8[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_191 (BatchN (None, None, None, 8 240 conv2d_191[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_191 (Activation) (None, None, None, 8 0 batch_normalization_191[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_192 (Conv2D) (None, None, None, 1 138240 activation_191[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_192 (BatchN (None, None, None, 1 576 conv2d_192[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_192 (Activation) (None, None, None, 1 0 batch_normalization_192[0][0] \n", - "__________________________________________________________________________________________________\n", - "max_pooling2d_9 (MaxPooling2D) (None, None, None, 1 0 activation_192[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_196 (Conv2D) (None, None, None, 6 12288 max_pooling2d_9[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_196 (BatchN (None, None, None, 6 192 conv2d_196[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_196 (Activation) (None, None, None, 6 0 batch_normalization_196[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_194 (Conv2D) (None, None, None, 4 9216 max_pooling2d_9[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_197 (Conv2D) (None, None, None, 9 55296 activation_196[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_194 (BatchN (None, None, None, 4 144 conv2d_194[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_197 (BatchN (None, None, None, 9 288 conv2d_197[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_194 (Activation) (None, None, None, 4 0 batch_normalization_194[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_197 (Activation) (None, None, None, 9 0 batch_normalization_197[0][0] \n", - "__________________________________________________________________________________________________\n", - "average_pooling2d_18 (AveragePo (None, None, None, 1 0 max_pooling2d_9[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_193 (Conv2D) (None, None, None, 6 12288 max_pooling2d_9[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_195 (Conv2D) (None, None, None, 6 76800 activation_194[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_198 (Conv2D) (None, None, None, 9 82944 activation_197[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_199 (Conv2D) (None, None, None, 3 6144 average_pooling2d_18[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_193 (BatchN (None, None, None, 6 192 conv2d_193[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_195 (BatchN (None, None, None, 6 192 conv2d_195[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_198 (BatchN (None, None, None, 9 288 conv2d_198[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_199 (BatchN (None, None, None, 3 96 conv2d_199[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_193 (Activation) (None, None, None, 6 0 batch_normalization_193[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_195 (Activation) (None, None, None, 6 0 batch_normalization_195[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_198 (Activation) (None, None, None, 9 0 batch_normalization_198[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_199 (Activation) (None, None, None, 3 0 batch_normalization_199[0][0] \n", - "__________________________________________________________________________________________________\n", - "mixed0 (Concatenate) (None, None, None, 2 0 activation_193[0][0] \n", - " activation_195[0][0] \n", - " activation_198[0][0] \n", - " activation_199[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_203 (Conv2D) (None, None, None, 6 16384 mixed0[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_203 (BatchN (None, None, None, 6 192 conv2d_203[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_203 (Activation) (None, None, None, 6 0 batch_normalization_203[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_201 (Conv2D) (None, None, None, 4 12288 mixed0[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_204 (Conv2D) (None, None, None, 9 55296 activation_203[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_201 (BatchN (None, None, None, 4 144 conv2d_201[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_204 (BatchN (None, None, None, 9 288 conv2d_204[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_201 (Activation) (None, None, None, 4 0 batch_normalization_201[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_204 (Activation) (None, None, None, 9 0 batch_normalization_204[0][0] \n", - "__________________________________________________________________________________________________\n", - "average_pooling2d_19 (AveragePo (None, None, None, 2 0 mixed0[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_200 (Conv2D) (None, None, None, 6 16384 mixed0[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_202 (Conv2D) (None, None, None, 6 76800 activation_201[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_205 (Conv2D) (None, None, None, 9 82944 activation_204[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_206 (Conv2D) (None, None, None, 6 16384 average_pooling2d_19[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_200 (BatchN (None, None, None, 6 192 conv2d_200[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_202 (BatchN (None, None, None, 6 192 conv2d_202[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_205 (BatchN (None, None, None, 9 288 conv2d_205[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_206 (BatchN (None, None, None, 6 192 conv2d_206[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_200 (Activation) (None, None, None, 6 0 batch_normalization_200[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_202 (Activation) (None, None, None, 6 0 batch_normalization_202[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_205 (Activation) (None, None, None, 9 0 batch_normalization_205[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_206 (Activation) (None, None, None, 6 0 batch_normalization_206[0][0] \n", - "__________________________________________________________________________________________________\n", - "mixed1 (Concatenate) (None, None, None, 2 0 activation_200[0][0] \n", - " activation_202[0][0] \n", - " activation_205[0][0] \n", - " activation_206[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_210 (Conv2D) (None, None, None, 6 18432 mixed1[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_210 (BatchN (None, None, None, 6 192 conv2d_210[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_210 (Activation) (None, None, None, 6 0 batch_normalization_210[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_208 (Conv2D) (None, None, None, 4 13824 mixed1[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_211 (Conv2D) (None, None, None, 9 55296 activation_210[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_208 (BatchN (None, None, None, 4 144 conv2d_208[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_211 (BatchN (None, None, None, 9 288 conv2d_211[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_208 (Activation) (None, None, None, 4 0 batch_normalization_208[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_211 (Activation) (None, None, None, 9 0 batch_normalization_211[0][0] \n", - "__________________________________________________________________________________________________\n", - "average_pooling2d_20 (AveragePo (None, None, None, 2 0 mixed1[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_207 (Conv2D) (None, None, None, 6 18432 mixed1[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_209 (Conv2D) (None, None, None, 6 76800 activation_208[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_212 (Conv2D) (None, None, None, 9 82944 activation_211[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_213 (Conv2D) (None, None, None, 6 18432 average_pooling2d_20[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_207 (BatchN (None, None, None, 6 192 conv2d_207[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_209 (BatchN (None, None, None, 6 192 conv2d_209[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_212 (BatchN (None, None, None, 9 288 conv2d_212[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_213 (BatchN (None, None, None, 6 192 conv2d_213[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_207 (Activation) (None, None, None, 6 0 batch_normalization_207[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_209 (Activation) (None, None, None, 6 0 batch_normalization_209[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_212 (Activation) (None, None, None, 9 0 batch_normalization_212[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_213 (Activation) (None, None, None, 6 0 batch_normalization_213[0][0] \n", - "__________________________________________________________________________________________________\n", - "mixed2 (Concatenate) (None, None, None, 2 0 activation_207[0][0] \n", - " activation_209[0][0] \n", - " activation_212[0][0] \n", - " activation_213[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_215 (Conv2D) (None, None, None, 6 18432 mixed2[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_215 (BatchN (None, None, None, 6 192 conv2d_215[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_215 (Activation) (None, None, None, 6 0 batch_normalization_215[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_216 (Conv2D) (None, None, None, 9 55296 activation_215[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_216 (BatchN (None, None, None, 9 288 conv2d_216[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_216 (Activation) (None, None, None, 9 0 batch_normalization_216[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_214 (Conv2D) (None, None, None, 3 995328 mixed2[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_217 (Conv2D) (None, None, None, 9 82944 activation_216[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_214 (BatchN (None, None, None, 3 1152 conv2d_214[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_217 (BatchN (None, None, None, 9 288 conv2d_217[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_214 (Activation) (None, None, None, 3 0 batch_normalization_214[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_217 (Activation) (None, None, None, 9 0 batch_normalization_217[0][0] \n", - "__________________________________________________________________________________________________\n", - "max_pooling2d_10 (MaxPooling2D) (None, None, None, 2 0 mixed2[0][0] \n", - "__________________________________________________________________________________________________\n", - "mixed3 (Concatenate) (None, None, None, 7 0 activation_214[0][0] \n", - " activation_217[0][0] \n", - " max_pooling2d_10[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_222 (Conv2D) (None, None, None, 1 98304 mixed3[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_222 (BatchN (None, None, None, 1 384 conv2d_222[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_222 (Activation) (None, None, None, 1 0 batch_normalization_222[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_223 (Conv2D) (None, None, None, 1 114688 activation_222[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_223 (BatchN (None, None, None, 1 384 conv2d_223[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_223 (Activation) (None, None, None, 1 0 batch_normalization_223[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_219 (Conv2D) (None, None, None, 1 98304 mixed3[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_224 (Conv2D) (None, None, None, 1 114688 activation_223[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_219 (BatchN (None, None, None, 1 384 conv2d_219[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_224 (BatchN (None, None, None, 1 384 conv2d_224[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_219 (Activation) (None, None, None, 1 0 batch_normalization_219[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_224 (Activation) (None, None, None, 1 0 batch_normalization_224[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_220 (Conv2D) (None, None, None, 1 114688 activation_219[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_225 (Conv2D) (None, None, None, 1 114688 activation_224[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_220 (BatchN (None, None, None, 1 384 conv2d_220[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_225 (BatchN (None, None, None, 1 384 conv2d_225[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_220 (Activation) (None, None, None, 1 0 batch_normalization_220[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_225 (Activation) (None, None, None, 1 0 batch_normalization_225[0][0] \n", - "__________________________________________________________________________________________________\n", - "average_pooling2d_21 (AveragePo (None, None, None, 7 0 mixed3[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_218 (Conv2D) (None, None, None, 1 147456 mixed3[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_221 (Conv2D) (None, None, None, 1 172032 activation_220[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_226 (Conv2D) (None, None, None, 1 172032 activation_225[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_227 (Conv2D) (None, None, None, 1 147456 average_pooling2d_21[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_218 (BatchN (None, None, None, 1 576 conv2d_218[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_221 (BatchN (None, None, None, 1 576 conv2d_221[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_226 (BatchN (None, None, None, 1 576 conv2d_226[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_227 (BatchN (None, None, None, 1 576 conv2d_227[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_218 (Activation) (None, None, None, 1 0 batch_normalization_218[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_221 (Activation) (None, None, None, 1 0 batch_normalization_221[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_226 (Activation) (None, None, None, 1 0 batch_normalization_226[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_227 (Activation) (None, None, None, 1 0 batch_normalization_227[0][0] \n", - "__________________________________________________________________________________________________\n", - "mixed4 (Concatenate) (None, None, None, 7 0 activation_218[0][0] \n", - " activation_221[0][0] \n", - " activation_226[0][0] \n", - " activation_227[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_232 (Conv2D) (None, None, None, 1 122880 mixed4[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_232 (BatchN (None, None, None, 1 480 conv2d_232[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_232 (Activation) (None, None, None, 1 0 batch_normalization_232[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_233 (Conv2D) (None, None, None, 1 179200 activation_232[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_233 (BatchN (None, None, None, 1 480 conv2d_233[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_233 (Activation) (None, None, None, 1 0 batch_normalization_233[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_229 (Conv2D) (None, None, None, 1 122880 mixed4[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_234 (Conv2D) (None, None, None, 1 179200 activation_233[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_229 (BatchN (None, None, None, 1 480 conv2d_229[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_234 (BatchN (None, None, None, 1 480 conv2d_234[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_229 (Activation) (None, None, None, 1 0 batch_normalization_229[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_234 (Activation) (None, None, None, 1 0 batch_normalization_234[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_230 (Conv2D) (None, None, None, 1 179200 activation_229[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_235 (Conv2D) (None, None, None, 1 179200 activation_234[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_230 (BatchN (None, None, None, 1 480 conv2d_230[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_235 (BatchN (None, None, None, 1 480 conv2d_235[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_230 (Activation) (None, None, None, 1 0 batch_normalization_230[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_235 (Activation) (None, None, None, 1 0 batch_normalization_235[0][0] \n", - "__________________________________________________________________________________________________\n", - "average_pooling2d_22 (AveragePo (None, None, None, 7 0 mixed4[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_228 (Conv2D) (None, None, None, 1 147456 mixed4[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_231 (Conv2D) (None, None, None, 1 215040 activation_230[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_236 (Conv2D) (None, None, None, 1 215040 activation_235[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_237 (Conv2D) (None, None, None, 1 147456 average_pooling2d_22[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_228 (BatchN (None, None, None, 1 576 conv2d_228[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_231 (BatchN (None, None, None, 1 576 conv2d_231[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_236 (BatchN (None, None, None, 1 576 conv2d_236[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_237 (BatchN (None, None, None, 1 576 conv2d_237[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_228 (Activation) (None, None, None, 1 0 batch_normalization_228[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_231 (Activation) (None, None, None, 1 0 batch_normalization_231[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_236 (Activation) (None, None, None, 1 0 batch_normalization_236[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_237 (Activation) (None, None, None, 1 0 batch_normalization_237[0][0] \n", - "__________________________________________________________________________________________________\n", - "mixed5 (Concatenate) (None, None, None, 7 0 activation_228[0][0] \n", - " activation_231[0][0] \n", - " activation_236[0][0] \n", - " activation_237[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_242 (Conv2D) (None, None, None, 1 122880 mixed5[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_242 (BatchN (None, None, None, 1 480 conv2d_242[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_242 (Activation) (None, None, None, 1 0 batch_normalization_242[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_243 (Conv2D) (None, None, None, 1 179200 activation_242[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_243 (BatchN (None, None, None, 1 480 conv2d_243[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_243 (Activation) (None, None, None, 1 0 batch_normalization_243[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_239 (Conv2D) (None, None, None, 1 122880 mixed5[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_244 (Conv2D) (None, None, None, 1 179200 activation_243[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_239 (BatchN (None, None, None, 1 480 conv2d_239[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_244 (BatchN (None, None, None, 1 480 conv2d_244[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_239 (Activation) (None, None, None, 1 0 batch_normalization_239[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_244 (Activation) (None, None, None, 1 0 batch_normalization_244[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_240 (Conv2D) (None, None, None, 1 179200 activation_239[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_245 (Conv2D) (None, None, None, 1 179200 activation_244[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_240 (BatchN (None, None, None, 1 480 conv2d_240[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_245 (BatchN (None, None, None, 1 480 conv2d_245[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_240 (Activation) (None, None, None, 1 0 batch_normalization_240[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_245 (Activation) (None, None, None, 1 0 batch_normalization_245[0][0] \n", - "__________________________________________________________________________________________________\n", - "average_pooling2d_23 (AveragePo (None, None, None, 7 0 mixed5[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_238 (Conv2D) (None, None, None, 1 147456 mixed5[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_241 (Conv2D) (None, None, None, 1 215040 activation_240[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_246 (Conv2D) (None, None, None, 1 215040 activation_245[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_247 (Conv2D) (None, None, None, 1 147456 average_pooling2d_23[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_238 (BatchN (None, None, None, 1 576 conv2d_238[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_241 (BatchN (None, None, None, 1 576 conv2d_241[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_246 (BatchN (None, None, None, 1 576 conv2d_246[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_247 (BatchN (None, None, None, 1 576 conv2d_247[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_238 (Activation) (None, None, None, 1 0 batch_normalization_238[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_241 (Activation) (None, None, None, 1 0 batch_normalization_241[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_246 (Activation) (None, None, None, 1 0 batch_normalization_246[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_247 (Activation) (None, None, None, 1 0 batch_normalization_247[0][0] \n", - "__________________________________________________________________________________________________\n", - "mixed6 (Concatenate) (None, None, None, 7 0 activation_238[0][0] \n", - " activation_241[0][0] \n", - " activation_246[0][0] \n", - " activation_247[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_252 (Conv2D) (None, None, None, 1 147456 mixed6[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_252 (BatchN (None, None, None, 1 576 conv2d_252[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_252 (Activation) (None, None, None, 1 0 batch_normalization_252[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_253 (Conv2D) (None, None, None, 1 258048 activation_252[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_253 (BatchN (None, None, None, 1 576 conv2d_253[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_253 (Activation) (None, None, None, 1 0 batch_normalization_253[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_249 (Conv2D) (None, None, None, 1 147456 mixed6[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_254 (Conv2D) (None, None, None, 1 258048 activation_253[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_249 (BatchN (None, None, None, 1 576 conv2d_249[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_254 (BatchN (None, None, None, 1 576 conv2d_254[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_249 (Activation) (None, None, None, 1 0 batch_normalization_249[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_254 (Activation) (None, None, None, 1 0 batch_normalization_254[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_250 (Conv2D) (None, None, None, 1 258048 activation_249[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_255 (Conv2D) (None, None, None, 1 258048 activation_254[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_250 (BatchN (None, None, None, 1 576 conv2d_250[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_255 (BatchN (None, None, None, 1 576 conv2d_255[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_250 (Activation) (None, None, None, 1 0 batch_normalization_250[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_255 (Activation) (None, None, None, 1 0 batch_normalization_255[0][0] \n", - "__________________________________________________________________________________________________\n", - "average_pooling2d_24 (AveragePo (None, None, None, 7 0 mixed6[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_248 (Conv2D) (None, None, None, 1 147456 mixed6[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_251 (Conv2D) (None, None, None, 1 258048 activation_250[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_256 (Conv2D) (None, None, None, 1 258048 activation_255[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_257 (Conv2D) (None, None, None, 1 147456 average_pooling2d_24[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_248 (BatchN (None, None, None, 1 576 conv2d_248[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_251 (BatchN (None, None, None, 1 576 conv2d_251[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_256 (BatchN (None, None, None, 1 576 conv2d_256[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_257 (BatchN (None, None, None, 1 576 conv2d_257[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_248 (Activation) (None, None, None, 1 0 batch_normalization_248[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_251 (Activation) (None, None, None, 1 0 batch_normalization_251[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_256 (Activation) (None, None, None, 1 0 batch_normalization_256[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_257 (Activation) (None, None, None, 1 0 batch_normalization_257[0][0] \n", - "__________________________________________________________________________________________________\n", - "mixed7 (Concatenate) (None, None, None, 7 0 activation_248[0][0] \n", - " activation_251[0][0] \n", - " activation_256[0][0] \n", - " activation_257[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_260 (Conv2D) (None, None, None, 1 147456 mixed7[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_260 (BatchN (None, None, None, 1 576 conv2d_260[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_260 (Activation) (None, None, None, 1 0 batch_normalization_260[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_261 (Conv2D) (None, None, None, 1 258048 activation_260[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_261 (BatchN (None, None, None, 1 576 conv2d_261[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_261 (Activation) (None, None, None, 1 0 batch_normalization_261[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_258 (Conv2D) (None, None, None, 1 147456 mixed7[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_262 (Conv2D) (None, None, None, 1 258048 activation_261[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_258 (BatchN (None, None, None, 1 576 conv2d_258[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_262 (BatchN (None, None, None, 1 576 conv2d_262[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_258 (Activation) (None, None, None, 1 0 batch_normalization_258[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_262 (Activation) (None, None, None, 1 0 batch_normalization_262[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_259 (Conv2D) (None, None, None, 3 552960 activation_258[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_263 (Conv2D) (None, None, None, 1 331776 activation_262[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_259 (BatchN (None, None, None, 3 960 conv2d_259[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_263 (BatchN (None, None, None, 1 576 conv2d_263[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_259 (Activation) (None, None, None, 3 0 batch_normalization_259[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_263 (Activation) (None, None, None, 1 0 batch_normalization_263[0][0] \n", - "__________________________________________________________________________________________________\n", - "max_pooling2d_11 (MaxPooling2D) (None, None, None, 7 0 mixed7[0][0] \n", - "__________________________________________________________________________________________________\n", - "mixed8 (Concatenate) (None, None, None, 1 0 activation_259[0][0] \n", - " activation_263[0][0] \n", - " max_pooling2d_11[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_268 (Conv2D) (None, None, None, 4 573440 mixed8[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_268 (BatchN (None, None, None, 4 1344 conv2d_268[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_268 (Activation) (None, None, None, 4 0 batch_normalization_268[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_265 (Conv2D) (None, None, None, 3 491520 mixed8[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_269 (Conv2D) (None, None, None, 3 1548288 activation_268[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_265 (BatchN (None, None, None, 3 1152 conv2d_265[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_269 (BatchN (None, None, None, 3 1152 conv2d_269[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_265 (Activation) (None, None, None, 3 0 batch_normalization_265[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_269 (Activation) (None, None, None, 3 0 batch_normalization_269[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_266 (Conv2D) (None, None, None, 3 442368 activation_265[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_267 (Conv2D) (None, None, None, 3 442368 activation_265[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_270 (Conv2D) (None, None, None, 3 442368 activation_269[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_271 (Conv2D) (None, None, None, 3 442368 activation_269[0][0] \n", - "__________________________________________________________________________________________________\n", - "average_pooling2d_25 (AveragePo (None, None, None, 1 0 mixed8[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_264 (Conv2D) (None, None, None, 3 409600 mixed8[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_266 (BatchN (None, None, None, 3 1152 conv2d_266[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_267 (BatchN (None, None, None, 3 1152 conv2d_267[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_270 (BatchN (None, None, None, 3 1152 conv2d_270[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_271 (BatchN (None, None, None, 3 1152 conv2d_271[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_272 (Conv2D) (None, None, None, 1 245760 average_pooling2d_25[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_264 (BatchN (None, None, None, 3 960 conv2d_264[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_266 (Activation) (None, None, None, 3 0 batch_normalization_266[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_267 (Activation) (None, None, None, 3 0 batch_normalization_267[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_270 (Activation) (None, None, None, 3 0 batch_normalization_270[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_271 (Activation) (None, None, None, 3 0 batch_normalization_271[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_272 (BatchN (None, None, None, 1 576 conv2d_272[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_264 (Activation) (None, None, None, 3 0 batch_normalization_264[0][0] \n", - "__________________________________________________________________________________________________\n", - "mixed9_0 (Concatenate) (None, None, None, 7 0 activation_266[0][0] \n", - " activation_267[0][0] \n", - "__________________________________________________________________________________________________\n", - "concatenate_4 (Concatenate) (None, None, None, 7 0 activation_270[0][0] \n", - " activation_271[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_272 (Activation) (None, None, None, 1 0 batch_normalization_272[0][0] \n", - "__________________________________________________________________________________________________\n", - "mixed9 (Concatenate) (None, None, None, 2 0 activation_264[0][0] \n", - " mixed9_0[0][0] \n", - " concatenate_4[0][0] \n", - " activation_272[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_277 (Conv2D) (None, None, None, 4 917504 mixed9[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_277 (BatchN (None, None, None, 4 1344 conv2d_277[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_277 (Activation) (None, None, None, 4 0 batch_normalization_277[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_274 (Conv2D) (None, None, None, 3 786432 mixed9[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_278 (Conv2D) (None, None, None, 3 1548288 activation_277[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_274 (BatchN (None, None, None, 3 1152 conv2d_274[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_278 (BatchN (None, None, None, 3 1152 conv2d_278[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_274 (Activation) (None, None, None, 3 0 batch_normalization_274[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_278 (Activation) (None, None, None, 3 0 batch_normalization_278[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_275 (Conv2D) (None, None, None, 3 442368 activation_274[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_276 (Conv2D) (None, None, None, 3 442368 activation_274[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_279 (Conv2D) (None, None, None, 3 442368 activation_278[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_280 (Conv2D) (None, None, None, 3 442368 activation_278[0][0] \n", - "__________________________________________________________________________________________________\n", - "average_pooling2d_26 (AveragePo (None, None, None, 2 0 mixed9[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_273 (Conv2D) (None, None, None, 3 655360 mixed9[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_275 (BatchN (None, None, None, 3 1152 conv2d_275[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_276 (BatchN (None, None, None, 3 1152 conv2d_276[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_279 (BatchN (None, None, None, 3 1152 conv2d_279[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_280 (BatchN (None, None, None, 3 1152 conv2d_280[0][0] \n", - "__________________________________________________________________________________________________\n", - "conv2d_281 (Conv2D) (None, None, None, 1 393216 average_pooling2d_26[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_273 (BatchN (None, None, None, 3 960 conv2d_273[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_275 (Activation) (None, None, None, 3 0 batch_normalization_275[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_276 (Activation) (None, None, None, 3 0 batch_normalization_276[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_279 (Activation) (None, None, None, 3 0 batch_normalization_279[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_280 (Activation) (None, None, None, 3 0 batch_normalization_280[0][0] \n", - "__________________________________________________________________________________________________\n", - "batch_normalization_281 (BatchN (None, None, None, 1 576 conv2d_281[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_273 (Activation) (None, None, None, 3 0 batch_normalization_273[0][0] \n", - "__________________________________________________________________________________________________\n", - "mixed9_1 (Concatenate) (None, None, None, 7 0 activation_275[0][0] \n", - " activation_276[0][0] \n", - "__________________________________________________________________________________________________\n", - "concatenate_5 (Concatenate) (None, None, None, 7 0 activation_279[0][0] \n", - " activation_280[0][0] \n", - "__________________________________________________________________________________________________\n", - "activation_281 (Activation) (None, None, None, 1 0 batch_normalization_281[0][0] \n", - "__________________________________________________________________________________________________\n", - "mixed10 (Concatenate) (None, None, None, 2 0 activation_273[0][0] \n", - " mixed9_1[0][0] \n", - " concatenate_5[0][0] \n", - " activation_281[0][0] \n", - "==================================================================================================\n", - "Total params: 21,802,784\n", - "Trainable params: 21,768,352\n", - "Non-trainable params: 34,432\n", - "__________________________________________________________________________________________________\n" - ] - } - ], - "source": [ - "# Explore the layers you can use by looking at the model summary\n", - "# try using different mixed layers\n", - "baseModel.summary()" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "SFaBiZRwUf1m" - }, - "outputs": [], - "source": [ - "# build our dreaming model\n", - "layers = [baseModel.get_layer(name).output for name in names]\n", - "deepDreamModel = tf.keras.Model(inputs=baseModel.input, outputs=layers)\n", - "\n", - "# We convert the image to a TensorFlow constant for better performance,\n", - "image = tf.constant(sampleImage)\n", - "\n", - "# We take the first two dimensions of the image and cast then them to float\n", - "baseShape = tf.cast(tf.shape(image)[:-1], tf.float32)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "h1zC1hhpPSXK" - }, - "source": [ - "# Run our Deep Dream Generator!\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "colab_type": "code", - "executionInfo": { - "elapsed": 95972, - "status": "ok", - "timestamp": 1590903411701, - "user": { - "displayName": "Rajeev Ratan", - "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhBYJnwdIGYSJdvGmzIt64rYSF1dDuiFyfRw4Rpeg=s64", - "userId": "08597265227091462140" - }, - "user_tz": 240 - }, - "id": "G5svaIpwPS7E", - "outputId": "c347894b-1486-44d5-ee5b-e7867515041e" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Working on octave 0\n", - "Iteration 0 with loss 0.6881672739982605\n", - "Iteration 50 with loss 1.2937997579574585\n", - "Working on octave 1\n", - "Iteration 0 with loss 0.7825002074241638\n", - "Iteration 50 with loss 1.489501714706421\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# We iterate over the number of Octaves (sizes) we are going to create using Deep Dream\n", - "for n in range(NUM_OCTAVES):\n", - "\n", - " # get the width and height for the current octave and cast them to integers\n", - " print(\"Working on octave {}\".format(n))\n", - " newShape = tf.cast(baseShape * (OCTAVE_SCALE ** n), tf.int32)\n", - "\n", - " # Resize the image with new shape and convert it to numpy before running \n", - " # through our DeepDream Model\n", - " image = tf.image.resize(image, newShape).numpy()\n", - " image = fullDeepDreamModel(model=deepDreamModel, image=image, iterations=100, stepSize=0.001)\n", - "\n", - "# convert the final image to a numpy array and then save it to disk\n", - "finalImage = np.array(image)\n", - "cv2.imwrite('output.jpg', finalImage)\n", - "\n", - "plt.figure(figsize=(20,10)) \n", - "plt.imshow(finalImage)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Run these lines of code to show you plot \n", - "# In some cases the first plot of a matplotlib doesn't display in our ipython notebook.\n", - "plt.figure(figsize=(20,10)) \n", - "plt.imshow(finalImage)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "0_7K5eW4OK0K" - }, - "source": [ - "## Please experiment with diferent Octaves, Iterations, Layers and Octave Scales!\n", - "\n", - "Start making your own 'Art'" - ] - } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "collapsed_sections": [], - "name": "5_1_Solution_Milestone_5_Google_Deep_Dreaming.ipynb", - "provenance": [], - "toc_visible": true - }, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:c649c7b0c279432791551c5d2fbf071b1819003e05da0618c9f55051864d37d0 +size 921056 diff --git a/23. DeepDream & Neural Style Transfers/24. Neural Style Transfer.ipynb b/23. DeepDream & Neural Style Transfers/24. Neural Style Transfer.ipynb index 907bc892cd533ba15df0334256b1a11d82ab7cf3..66c22a3bb84db73af11dafa4af7a6136bb4a9d2c 100644 --- a/23. DeepDream & Neural Style Transfers/24. Neural Style Transfer.ipynb +++ b/23. DeepDream & Neural Style Transfers/24. Neural Style Transfer.ipynb @@ -1,1469 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Neural Style Transfer using TensorFlow 2.0" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "g_nWetWWd_ns" - }, - "source": [ - "##### Copyright 2018 The TensorFlow Authors." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "cellView": "form", - "colab": {}, - "colab_type": "code", - "id": "2pHVBk_seED1" - }, - "outputs": [], - "source": [ - "#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n", - "# you may not use this file except in compliance with the License.\n", - "# You may obtain a copy of the License at\n", - "#\n", - "# https://www.apache.org/licenses/LICENSE-2.0\n", - "#\n", - "# Unless required by applicable law or agreed to in writing, software\n", - "# distributed under the License is distributed on an \"AS IS\" BASIS,\n", - "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n", - "# See the License for the specific language governing permissions and\n", - "# limitations under the License." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "6msVLevwcRhm" - }, - "source": [ - "# Neural style transfer" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "Ds4o1h4WHz9U" - }, - "source": [ - "\n", - " \n", - " \n", - " \n", - " \n", - "
\n", - " View on TensorFlow.org\n", - " \n", - " Run in Google Colab\n", - " \n", - " View source on GitHub\n", - " \n", - " Download notebook\n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "aDyGj8DmXCJI" - }, - "source": [ - "This tutorial uses deep learning to compose one image in the style of another image (ever wish you could paint like Picasso or Van Gogh?). This is known as *neural style transfer* and the technique is outlined in A Neural Algorithm of Artistic Style (Gatys et al.). \n", - "\n", - "Note: This tutorial demonstrates the original style-transfer algorithm. It optimizes the image content to a particular style. Modern approaches train a model to generate the stylized image directly (similar to [cyclegan](cyclegan.ipynb)). This approach is much faster (up to 1000x). A pretrained [Arbitrary Image Stylization module](https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/tf2_arbitrary_image_stylization.ipynb) is available in [TensorFlow Hub](https://tensorflow.org/hub), and for [TensorFlow Lite](https://www.tensorflow.org/lite/models/style_transfer/overview).\n", - "\n", - "Neural style transfer is an optimization technique used to take two images—a *content* image and a *style reference* image (such as an artwork by a famous painter)—and blend them together so the output image looks like the content image, but “painted” in the style of the style reference image.\n", - "\n", - "This is implemented by optimizing the output image to match the content statistics of the content image and the style statistics of the style reference image. These statistics are extracted from the images using a convolutional network.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "3kb_UJY-jCEl" - }, - "source": [ - "For example, let’s take an image of this dog and Wassily Kandinsky's Composition 7:\n", - "\n", - "\n", - "\n", - "[Yellow Labrador Looking](https://commons.wikimedia.org/wiki/File:YellowLabradorLooking_new.jpg), from Wikimedia Commons\n", - "\n", - "\n", - "\n", - "\n", - "Now how would it look like if Kandinsky decided to paint the picture of this Dog exclusively with this style? Something like this?\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "U8ajP_u73s6m" - }, - "source": [ - "## Setup\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "eqxUicSPUOP6" - }, - "source": [ - "### Import and configure modules" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "NyftRTSMuwue" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "sc1OLbOWhPCO" - }, - "outputs": [], - "source": [ - "import IPython.display as display\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib as mpl\n", - "mpl.rcParams['figure.figsize'] = (12,12)\n", - "mpl.rcParams['axes.grid'] = False\n", - "\n", - "import numpy as np\n", - "import PIL.Image\n", - "import time\n", - "import functools" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "GM6VEGrGLh62" - }, - "outputs": [], - "source": [ - "def tensor_to_image(tensor):\n", - " tensor = tensor*255\n", - " tensor = np.array(tensor, dtype=np.uint8)\n", - " if np.ndim(tensor)>3:\n", - " assert tensor.shape[0] == 1\n", - " tensor = tensor[0]\n", - " return PIL.Image.fromarray(tensor)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "oeXebYusyHwC" - }, - "source": [ - "Download images and choose a style image and a content image:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "wqc0OJHwyFAk" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Downloading data from https://storage.googleapis.com/download.tensorflow.org/example_images/YellowLabradorLooking_new.jpg\n", - "90112/83281 [================================] - 0s 3us/step\n", - "Downloading data from https://storage.googleapis.com/download.tensorflow.org/example_images/Vassily_Kandinsky%2C_1913_-_Composition_7.jpg\n", - "196608/195196 [==============================] - 0s 1us/step\n" - ] - } - ], - "source": [ - "content_path = tf.keras.utils.get_file('YellowLabradorLooking_new.jpg', 'https://storage.googleapis.com/download.tensorflow.org/example_images/YellowLabradorLooking_new.jpg')\n", - "\n", - "# https://commons.wikimedia.org/wiki/File:Vassily_Kandinsky,_1913_-_Composition_7.jpg\n", - "style_path = tf.keras.utils.get_file('kandinsky5.jpg','https://storage.googleapis.com/download.tensorflow.org/example_images/Vassily_Kandinsky%2C_1913_-_Composition_7.jpg')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "xE4Yt8nArTeR" - }, - "source": [ - "## Visualize the input" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "klh6ObK2t_vH" - }, - "source": [ - "Define a function to load an image and limit its maximum dimension to 512 pixels." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "3TLljcwv5qZs" - }, - "outputs": [], - "source": [ - "def load_img(path_to_img):\n", - " max_dim = 512\n", - " img = tf.io.read_file(path_to_img)\n", - " img = tf.image.decode_image(img, channels=3)\n", - " img = tf.image.convert_image_dtype(img, tf.float32)\n", - "\n", - " shape = tf.cast(tf.shape(img)[:-1], tf.float32)\n", - " long_dim = max(shape)\n", - " scale = max_dim / long_dim\n", - "\n", - " new_shape = tf.cast(shape * scale, tf.int32)\n", - "\n", - " img = tf.image.resize(img, new_shape)\n", - " img = img[tf.newaxis, :]\n", - " return img" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "2yAlRzJZrWM3" - }, - "source": [ - "Create a simple function to display an image:" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "cBX-eNT8PAK_" - }, - "outputs": [], - "source": [ - "def imshow(image, title=None):\n", - " if len(image.shape) > 3:\n", - " image = tf.squeeze(image, axis=0)\n", - "\n", - " plt.imshow(image)\n", - " if title:\n", - " plt.title(title)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "_UWQmeEaiKkP" - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "content_image = load_img(content_path)\n", - "style_image = load_img(style_path)\n", - "\n", - "plt.subplot(1, 2, 1)\n", - "imshow(content_image, 'Content Image')\n", - "\n", - "plt.subplot(1, 2, 2)\n", - "imshow(style_image, 'Style Image')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "YMzChXSlKTA2" - }, - "source": [ - "## Fast Style Transfer using TF-Hub\n", - "\n", - "This tutorial demonstrates the original style-transfer algorithm, which optimizes the image content to a particular style. Before getting into the details, let's see how the [TensorFlow Hub](https://tensorflow.org/hub) module does:" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Collecting tensorflow_hub\n", - " Downloading tensorflow_hub-0.8.0-py2.py3-none-any.whl (101 kB)\n", - "Requirement already satisfied: protobuf>=3.8.0 in c:\\programdata\\anaconda3\\envs\\cv\\lib\\site-packages (from tensorflow_hub) (3.11.4)\n", - "Requirement already satisfied: numpy>=1.12.0 in c:\\programdata\\anaconda3\\envs\\cv\\lib\\site-packages (from tensorflow_hub) (1.16.5)\n", - "Requirement already satisfied: six>=1.12.0 in c:\\programdata\\anaconda3\\envs\\cv\\lib\\site-packages (from tensorflow_hub) (1.12.0)\n", - "Requirement already satisfied: setuptools in c:\\programdata\\anaconda3\\envs\\cv\\lib\\site-packages (from protobuf>=3.8.0->tensorflow_hub) (41.4.0)\n", - "Installing collected packages: tensorflow-hub\n", - "Successfully installed tensorflow-hub-0.8.0\n" - ] - } - ], - "source": [ - "!pip install tensorflow_hub" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "iYSLexgRKSh-" - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import tensorflow_hub as hub\n", - "\n", - "hub_module = hub.load('https://tfhub.dev/google/magenta/arbitrary-image-stylization-v1-256/1')\n", - "stylized_image = hub_module(tf.constant(content_image), tf.constant(style_image))[0]\n", - "tensor_to_image(stylized_image)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "GEwZ7FlwrjoZ" - }, - "source": [ - "## Define content and style representations\n", - "\n", - "Use the intermediate layers of the model to get the *content* and *style* representations of the image. Starting from the network's input layer, the first few layer activations represent low-level features like edges and textures. As you step through the network, the final few layers represent higher-level features—object parts like *wheels* or *eyes*. In this case, you are using the VGG19 network architecture, a pretrained image classification network. These intermediate layers are necessary to define the representation of content and style from the images. For an input image, try to match the corresponding style and content target representations at these intermediate layers.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "LP_7zrziuiJk" - }, - "source": [ - "Load a [VGG19](https://keras.io/applications/#vgg19) and test run it on our image to ensure it's used correctly:" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "fMbzrr7BCTq0" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Downloading data from https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg19_weights_tf_dim_ordering_tf_kernels.h5\n", - "574717952/574710816 [==============================] - 4197s 7us/step\n" - ] - }, - { - "data": { - "text/plain": [ - "TensorShape([1, 1000])" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x = tf.keras.applications.vgg19.preprocess_input(content_image*255)\n", - "x = tf.image.resize(x, (224, 224))\n", - "vgg = tf.keras.applications.VGG19(include_top=True, weights='imagenet')\n", - "prediction_probabilities = vgg(x)\n", - "prediction_probabilities.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "1_FyCm0dYnvl" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[('Labrador_retriever', 0.49317262),\n", - " ('golden_retriever', 0.23665187),\n", - " ('kuvasz', 0.036357313),\n", - " ('Chesapeake_Bay_retriever', 0.024182774),\n", - " ('Greater_Swiss_Mountain_dog', 0.018646035)]" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "predicted_top_5 = tf.keras.applications.vgg19.decode_predictions(prediction_probabilities.numpy())[0]\n", - "[(class_name, prob) for (number, class_name, prob) in predicted_top_5]" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "ljpoYk-0f6HS" - }, - "source": [ - "Now load a `VGG19` without the classification head, and list the layer names" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "Yh_AV6220ebD" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "input_2\n", - "block1_conv1\n", - "block1_conv2\n", - "block1_pool\n", - "block2_conv1\n", - "block2_conv2\n", - "block2_pool\n", - "block3_conv1\n", - "block3_conv2\n", - "block3_conv3\n", - "block3_conv4\n", - "block3_pool\n", - "block4_conv1\n", - "block4_conv2\n", - "block4_conv3\n", - "block4_conv4\n", - "block4_pool\n", - "block5_conv1\n", - "block5_conv2\n", - "block5_conv3\n", - "block5_conv4\n", - "block5_pool\n" - ] - } - ], - "source": [ - "vgg = tf.keras.applications.VGG19(include_top=False, weights='imagenet')\n", - "\n", - "print()\n", - "for layer in vgg.layers:\n", - " print(layer.name)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "Wt-tASys0eJv" - }, - "source": [ - "Choose intermediate layers from the network to represent the style and content of the image:\n" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "ArfX_6iA0WAX" - }, - "outputs": [], - "source": [ - "content_layers = ['block5_conv2'] \n", - "\n", - "style_layers = ['block1_conv1',\n", - " 'block2_conv1',\n", - " 'block3_conv1', \n", - " 'block4_conv1', \n", - " 'block5_conv1']\n", - "\n", - "num_content_layers = len(content_layers)\n", - "num_style_layers = len(style_layers)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "2o4nSwuN0U3X" - }, - "source": [ - "#### Intermediate layers for style and content\n", - "\n", - "So why do these intermediate outputs within our pretrained image classification network allow us to define style and content representations?\n", - "\n", - "At a high level, in order for a network to perform image classification (which this network has been trained to do), it must understand the image. This requires taking the raw image as input pixels and building an internal representation that converts the raw image pixels into a complex understanding of the features present within the image.\n", - "\n", - "This is also a reason why convolutional neural networks are able to generalize well: they’re able to capture the invariances and defining features within classes (e.g. cats vs. dogs) that are agnostic to background noise and other nuisances. Thus, somewhere between where the raw image is fed into the model and the output classification label, the model serves as a complex feature extractor. By accessing intermediate layers of the model, you're able to describe the content and style of input images." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "Jt3i3RRrJiOX" - }, - "source": [ - "## Build the model \n", - "\n", - "The networks in `tf.keras.applications` are designed so you can easily extract the intermediate layer values using the Keras functional API.\n", - "\n", - "To define a model using the functional API, specify the inputs and outputs:\n", - "\n", - "`model = Model(inputs, outputs)`\n", - "\n", - "This following function builds a VGG19 model that returns a list of intermediate layer outputs:" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "nfec6MuMAbPx" - }, - "outputs": [], - "source": [ - "def vgg_layers(layer_names):\n", - " \"\"\" Creates a vgg model that returns a list of intermediate output values.\"\"\"\n", - " # Load our model. Load pretrained VGG, trained on imagenet data\n", - " vgg = tf.keras.applications.VGG19(include_top=False, weights='imagenet')\n", - " vgg.trainable = False\n", - " \n", - " outputs = [vgg.get_layer(name).output for name in layer_names]\n", - "\n", - " model = tf.keras.Model([vgg.input], outputs)\n", - " return model" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "jbaIvZf5wWn_" - }, - "source": [ - "And to create the model:" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "LkyvPpBHSfVi" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "block1_conv1\n", - " shape: (1, 336, 512, 64)\n", - " min: 0.0\n", - " max: 835.5255\n", - " mean: 33.97525\n", - "\n", - "block2_conv1\n", - " shape: (1, 168, 256, 128)\n", - " min: 0.0\n", - " max: 4625.8867\n", - " mean: 199.82687\n", - "\n", - "block3_conv1\n", - " shape: (1, 84, 128, 256)\n", - " min: 0.0\n", - " max: 8789.24\n", - " mean: 230.78099\n", - "\n", - "block4_conv1\n", - " shape: (1, 42, 64, 512)\n", - " min: 0.0\n", - " max: 21566.133\n", - " mean: 791.24005\n", - "\n", - "block5_conv1\n", - " shape: (1, 21, 32, 512)\n", - " min: 0.0\n", - " max: 3189.2532\n", - " mean: 59.179478\n", - "\n" - ] - } - ], - "source": [ - "style_extractor = vgg_layers(style_layers)\n", - "style_outputs = style_extractor(style_image*255)\n", - "\n", - "#Look at the statistics of each layer's output\n", - "for name, output in zip(style_layers, style_outputs):\n", - " print(name)\n", - " print(\" shape: \", output.numpy().shape)\n", - " print(\" min: \", output.numpy().min())\n", - " print(\" max: \", output.numpy().max())\n", - " print(\" mean: \", output.numpy().mean())\n", - " print()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "lGUfttK9F8d5" - }, - "source": [ - "## Calculate style\n", - "\n", - "The content of an image is represented by the values of the intermediate feature maps.\n", - "\n", - "It turns out, the style of an image can be described by the means and correlations across the different feature maps. Calculate a Gram matrix that includes this information by taking the outer product of the feature vector with itself at each location, and averaging that outer product over all locations. This Gram matrix can be calculated for a particular layer as:\n", - "\n", - "$$G^l_{cd} = \\frac{\\sum_{ij} F^l_{ijc}(x)F^l_{ijd}(x)}{IJ}$$\n", - "\n", - "This can be implemented concisely using the `tf.linalg.einsum` function:" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "HAy1iGPdoEpZ" - }, - "outputs": [], - "source": [ - "def gram_matrix(input_tensor):\n", - " result = tf.linalg.einsum('bijc,bijd->bcd', input_tensor, input_tensor)\n", - " input_shape = tf.shape(input_tensor)\n", - " num_locations = tf.cast(input_shape[1]*input_shape[2], tf.float32)\n", - " return result/(num_locations)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "pXIUX6czZABh" - }, - "source": [ - "## Extract style and content\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "1HGHvwlJ1nkn" - }, - "source": [ - "Build a model that returns the style and content tensors." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "Sr6QALY-I1ja" - }, - "outputs": [], - "source": [ - "class StyleContentModel(tf.keras.models.Model):\n", - " def __init__(self, style_layers, content_layers):\n", - " super(StyleContentModel, self).__init__()\n", - " self.vgg = vgg_layers(style_layers + content_layers)\n", - " self.style_layers = style_layers\n", - " self.content_layers = content_layers\n", - " self.num_style_layers = len(style_layers)\n", - " self.vgg.trainable = False\n", - "\n", - " def call(self, inputs):\n", - " \"Expects float input in [0,1]\"\n", - " inputs = inputs*255.0\n", - " preprocessed_input = tf.keras.applications.vgg19.preprocess_input(inputs)\n", - " outputs = self.vgg(preprocessed_input)\n", - " style_outputs, content_outputs = (outputs[:self.num_style_layers], \n", - " outputs[self.num_style_layers:])\n", - "\n", - " style_outputs = [gram_matrix(style_output)\n", - " for style_output in style_outputs]\n", - "\n", - " content_dict = {content_name:value \n", - " for content_name, value \n", - " in zip(self.content_layers, content_outputs)}\n", - "\n", - " style_dict = {style_name:value\n", - " for style_name, value\n", - " in zip(self.style_layers, style_outputs)}\n", - " \n", - " return {'content':content_dict, 'style':style_dict}" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "Xuj1o33t1edl" - }, - "source": [ - "When called on an image, this model returns the gram matrix (style) of the `style_layers` and content of the `content_layers`:" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "rkjO-DoNDU0A" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Styles:\n", - " block1_conv1\n", - " shape: (1, 64, 64)\n", - " min: 0.005522847\n", - " max: 28014.559\n", - " mean: 263.79025\n", - "\n", - " block2_conv1\n", - " shape: (1, 128, 128)\n", - " min: 0.0\n", - " max: 61479.504\n", - " mean: 9100.95\n", - "\n", - " block3_conv1\n", - " shape: (1, 256, 256)\n", - " min: 0.0\n", - " max: 545623.44\n", - " mean: 7660.9766\n", - "\n", - " block4_conv1\n", - " shape: (1, 512, 512)\n", - " min: 0.0\n", - " max: 4320501.0\n", - " mean: 134288.86\n", - "\n", - " block5_conv1\n", - " shape: (1, 512, 512)\n", - " min: 0.0\n", - " max: 110005.38\n", - " mean: 1487.0381\n", - "\n", - "Contents:\n", - " block5_conv2\n", - " shape: (1, 26, 32, 512)\n", - " min: 0.0\n", - " max: 2410.8796\n", - " mean: 13.764152\n" - ] - } - ], - "source": [ - "extractor = StyleContentModel(style_layers, content_layers)\n", - "\n", - "results = extractor(tf.constant(content_image))\n", - "\n", - "print('Styles:')\n", - "for name, output in sorted(results['style'].items()):\n", - " print(\" \", name)\n", - " print(\" shape: \", output.numpy().shape)\n", - " print(\" min: \", output.numpy().min())\n", - " print(\" max: \", output.numpy().max())\n", - " print(\" mean: \", output.numpy().mean())\n", - " print()\n", - "\n", - "print(\"Contents:\")\n", - "for name, output in sorted(results['content'].items()):\n", - " print(\" \", name)\n", - " print(\" shape: \", output.numpy().shape)\n", - " print(\" min: \", output.numpy().min())\n", - " print(\" max: \", output.numpy().max())\n", - " print(\" mean: \", output.numpy().mean())\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "y9r8Lyjb_m0u" - }, - "source": [ - "## Run gradient descent\n", - "\n", - "With this style and content extractor, you can now implement the style transfer algorithm. Do this by calculating the mean square error for your image's output relative to each target, then take the weighted sum of these losses.\n", - "\n", - "Set your style and content target values:" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "PgkNOnGUFcKa" - }, - "outputs": [], - "source": [ - "style_targets = extractor(style_image)['style']\n", - "content_targets = extractor(content_image)['content']" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "CNPrpl-e_w9A" - }, - "source": [ - "Define a `tf.Variable` to contain the image to optimize. To make this quick, initialize it with the content image (the `tf.Variable` must be the same shape as the content image):" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "J0vKxF8ZO6G8" - }, - "outputs": [], - "source": [ - "image = tf.Variable(content_image)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "M6L8ojmn_6rH" - }, - "source": [ - "Since this is a float image, define a function to keep the pixel values between 0 and 1:" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "kdgpTJwL_vE2" - }, - "outputs": [], - "source": [ - "def clip_0_1(image):\n", - " return tf.clip_by_value(image, clip_value_min=0.0, clip_value_max=1.0)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "MBU5RFpcAo7W" - }, - "source": [ - "Create an optimizer. The paper recommends LBFGS, but `Adam` works okay, too:" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "r4XZjqUk_5Eu" - }, - "outputs": [], - "source": [ - "opt = tf.optimizers.Adam(learning_rate=0.02, beta_1=0.99, epsilon=1e-1)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "As-evbBiA2qT" - }, - "source": [ - "To optimize this, use a weighted combination of the two losses to get the total loss:" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "Dt4pxarvA4I4" - }, - "outputs": [], - "source": [ - "style_weight=1e-2\n", - "content_weight=1e4" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "0ggx2Na8oROH" - }, - "outputs": [], - "source": [ - "def style_content_loss(outputs):\n", - " style_outputs = outputs['style']\n", - " content_outputs = outputs['content']\n", - " style_loss = tf.add_n([tf.reduce_mean((style_outputs[name]-style_targets[name])**2) \n", - " for name in style_outputs.keys()])\n", - " style_loss *= style_weight / num_style_layers\n", - "\n", - " content_loss = tf.add_n([tf.reduce_mean((content_outputs[name]-content_targets[name])**2) \n", - " for name in content_outputs.keys()])\n", - " content_loss *= content_weight / num_content_layers\n", - " loss = style_loss + content_loss\n", - " return loss" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "vbF2WnP9BI5M" - }, - "source": [ - "Use `tf.GradientTape` to update the image." - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "0t0umkajFIuh" - }, - "outputs": [], - "source": [ - "@tf.function()\n", - "def train_step(image):\n", - " with tf.GradientTape() as tape:\n", - " outputs = extractor(image)\n", - " loss = style_content_loss(outputs)\n", - "\n", - " grad = tape.gradient(loss, image)\n", - " opt.apply_gradients([(grad, image)])\n", - " image.assign(clip_0_1(image))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "5FHMJq4UBRIQ" - }, - "source": [ - "Now run a few steps to test:" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "Y542mxi-O2a2" - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "train_step(image)\n", - "train_step(image)\n", - "train_step(image)\n", - "tensor_to_image(image)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "mNzE-mTbBVgY" - }, - "source": [ - "Since it's working, perform a longer optimization:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "rQW1tXYoLbUS" - }, - "outputs": [], - "source": [ - "import time\n", - "start = time.time()\n", - "\n", - "epochs = 10\n", - "steps_per_epoch = 100\n", - "\n", - "step = 0\n", - "for n in range(epochs):\n", - " for m in range(steps_per_epoch):\n", - " step += 1\n", - " train_step(image)\n", - " print(\".\", end='')\n", - " display.clear_output(wait=True)\n", - " display.display(tensor_to_image(image))\n", - " print(\"Train step: {}\".format(step))\n", - " \n", - "end = time.time()\n", - "print(\"Total time: {:.1f}\".format(end-start))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "GWVB3anJMY2v" - }, - "source": [ - "## Total variation loss\n", - "\n", - "One downside to this basic implementation is that it produces a lot of high frequency artifacts. Decrease these using an explicit regularization term on the high frequency components of the image. In style transfer, this is often called the *total variation loss*:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "7szUUybCQMB3" - }, - "outputs": [], - "source": [ - "def high_pass_x_y(image):\n", - " x_var = image[:,:,1:,:] - image[:,:,:-1,:]\n", - " y_var = image[:,1:,:,:] - image[:,:-1,:,:]\n", - "\n", - " return x_var, y_var" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "Atc2oL29PXu_" - }, - "outputs": [], - "source": [ - "x_deltas, y_deltas = high_pass_x_y(content_image)\n", - "\n", - "plt.figure(figsize=(14,10))\n", - "plt.subplot(2,2,1)\n", - "imshow(clip_0_1(2*y_deltas+0.5), \"Horizontal Deltas: Original\")\n", - "\n", - "plt.subplot(2,2,2)\n", - "imshow(clip_0_1(2*x_deltas+0.5), \"Vertical Deltas: Original\")\n", - "\n", - "x_deltas, y_deltas = high_pass_x_y(image)\n", - "\n", - "plt.subplot(2,2,3)\n", - "imshow(clip_0_1(2*y_deltas+0.5), \"Horizontal Deltas: Styled\")\n", - "\n", - "plt.subplot(2,2,4)\n", - "imshow(clip_0_1(2*x_deltas+0.5), \"Vertical Deltas: Styled\")" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "lqHElVgBkgkz" - }, - "source": [ - "This shows how the high frequency components have increased.\n", - "\n", - "Also, this high frequency component is basically an edge-detector. You can get similar output from the Sobel edge detector, for example:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "HyvqCiywiUfL" - }, - "outputs": [], - "source": [ - "plt.figure(figsize=(14,10))\n", - "\n", - "sobel = tf.image.sobel_edges(content_image)\n", - "plt.subplot(1,2,1)\n", - "imshow(clip_0_1(sobel[...,0]/4+0.5), \"Horizontal Sobel-edges\")\n", - "plt.subplot(1,2,2)\n", - "imshow(clip_0_1(sobel[...,1]/4+0.5), \"Vertical Sobel-edges\")" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "vv5bKlSDnPP7" - }, - "source": [ - "The regularization loss associated with this is the sum of the squares of the values:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "mP-92lXMIYPn" - }, - "outputs": [], - "source": [ - "def total_variation_loss(image):\n", - " x_deltas, y_deltas = high_pass_x_y(image)\n", - " return tf.reduce_sum(tf.abs(x_deltas)) + tf.reduce_sum(tf.abs(y_deltas))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "s4OYBUX2KQ25" - }, - "outputs": [], - "source": [ - "total_variation_loss(image).numpy()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "pu2hJ8zOKMc1" - }, - "source": [ - "That demonstrated what it does. But there's no need to implement it yourself, TensorFlow includes a standard implementation:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "YQjWW04NKLfJ" - }, - "outputs": [], - "source": [ - "tf.image.total_variation(image).numpy()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "nTessd-DCdcC" - }, - "source": [ - "## Re-run the optimization\n", - "\n", - "Choose a weight for the `total_variation_loss`:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "tGeRLD4GoAd4" - }, - "outputs": [], - "source": [ - "total_variation_weight=30" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "kG1-T4kJsoAv" - }, - "source": [ - "Now include it in the `train_step` function:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "BzmfcyyYUyWq" - }, - "outputs": [], - "source": [ - "@tf.function()\n", - "def train_step(image):\n", - " with tf.GradientTape() as tape:\n", - " outputs = extractor(image)\n", - " loss = style_content_loss(outputs)\n", - " loss += total_variation_weight*tf.image.total_variation(image)\n", - "\n", - " grad = tape.gradient(loss, image)\n", - " opt.apply_gradients([(grad, image)])\n", - " image.assign(clip_0_1(image))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "lcLWBQChsutQ" - }, - "source": [ - "Reinitialize the optimization variable:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "a-dPRr8BqexB" - }, - "outputs": [], - "source": [ - "image = tf.Variable(content_image)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "BEflRstmtGBu" - }, - "source": [ - "And run the optimization:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "q3Cc3bLtoOWy" - }, - "outputs": [], - "source": [ - "import time\n", - "start = time.time()\n", - "\n", - "epochs = 10\n", - "steps_per_epoch = 100\n", - "\n", - "step = 0\n", - "for n in range(epochs):\n", - " for m in range(steps_per_epoch):\n", - " step += 1\n", - " train_step(image)\n", - " print(\".\", end='')\n", - " display.clear_output(wait=True)\n", - " display.display(tensor_to_image(image))\n", - " print(\"Train step: {}\".format(step))\n", - "\n", - "end = time.time()\n", - "print(\"Total time: {:.1f}\".format(end-start))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "KKox7K46tKxy" - }, - "source": [ - "Finally, save the result:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "SSH6OpyyQn7w" - }, - "outputs": [], - "source": [ - "file_name = 'stylized-image.png'\n", - "tensor_to_image(image).save(file_name)\n", - "\n", - "try:\n", - " from google.colab import files\n", - "except ImportError:\n", - " pass\n", - "else:\n", - " files.download(file_name)" - ] - } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "collapsed_sections": [], - "name": "style_transfer.ipynb", - "private_outputs": true, - "provenance": [], - "toc_visible": true - }, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:0fe05de39e727ea432a8bc09f7466239fcf85ffd3944c071681cf3395e3fd869 +size 1424942 diff --git a/24. GANS_Generative_Networks/MNIST DCGAN.ipynb b/24. GANS_Generative_Networks/MNIST DCGAN.ipynb index 90fe99af73ffd01991327e3042df3e99f1043b24..671ba453b5f2170317b1983be041b68db95bc238 100644 --- a/24. GANS_Generative_Networks/MNIST DCGAN.ipynb +++ b/24. GANS_Generative_Networks/MNIST DCGAN.ipynb @@ -1,918 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "_jQ1tEQCxwRx" - }, - "source": [ - "##### Copyright 2019 The TensorFlow Authors." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "cellView": "form", - "colab": {}, - "colab_type": "code", - "id": "V_sgB_5dx1f1" - }, - "outputs": [], - "source": [ - "#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n", - "# you may not use this file except in compliance with the License.\n", - "# You may obtain a copy of the License at\n", - "#\n", - "# https://www.apache.org/licenses/LICENSE-2.0\n", - "#\n", - "# Unless required by applicable law or agreed to in writing, software\n", - "# distributed under the License is distributed on an \"AS IS\" BASIS,\n", - "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n", - "# See the License for the specific language governing permissions and\n", - "# limitations under the License." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "rF2x3qooyBTI" - }, - "source": [ - "# Deep Convolutional Generative Adversarial Network" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "ITZuApL56Mny" - }, - "source": [ - "This tutorial demonstrates how to generate images of handwritten digits using a [Deep Convolutional Generative Adversarial Network](https://arxiv.org/pdf/1511.06434.pdf) (DCGAN). The code is written using the [Keras Sequential API](https://www.tensorflow.org/guide/keras) with a `tf.GradientTape` training loop." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "2MbKJY38Puy9" - }, - "source": [ - "## What are GANs?\n", - "[Generative Adversarial Networks](https://arxiv.org/abs/1406.2661) (GANs) are one of the most interesting ideas in computer science today. Two models are trained simultaneously by an adversarial process. A *generator* (\"the artist\") learns to create images that look real, while a *discriminator* (\"the art critic\") learns to tell real images apart from fakes.\n", - "\n", - "![A diagram of a generator and discriminator](./images/gan1.png)\n", - "\n", - "During training, the *generator* progressively becomes better at creating images that look real, while the *discriminator* becomes better at telling them apart. The process reaches equilibrium when the *discriminator* can no longer distinguish real images from fakes.\n", - "\n", - "![A second diagram of a generator and discriminator](./images/gan2.png)\n", - "\n", - "This notebook demonstrates this process on the MNIST dataset. The following animation shows a series of images produced by the *generator* as it was trained for 50 epochs. The images begin as random noise, and increasingly resemble hand written digits over time.\n", - "\n", - "![sample output](https://tensorflow.org/images/gan/dcgan.gif)\n", - "\n", - "To learn more about GANs, we recommend MIT's [Intro to Deep Learning](http://introtodeeplearning.com/) course." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "e1_Y75QXJS6h" - }, - "source": [ - "### Import TensorFlow and other libraries" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "WZKbyU2-AiY-" - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "wx-zNbLqB4K8" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "'2.1.0'" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tf.__version__" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "YzTlj4YdCip_" - }, - "outputs": [], - "source": [ - "# To generate GIFs\n", - "!pip install -q imageio" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "YfIk2es3hJEd" - }, - "outputs": [], - "source": [ - "import glob\n", - "import imageio\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import os\n", - "import PIL\n", - "from tensorflow.keras import layers\n", - "import time\n", - "\n", - "from IPython import display" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "iYn4MdZnKCey" - }, - "source": [ - "### Load and prepare the dataset\n", - "\n", - "You will use the MNIST dataset to train the generator and the discriminator. The generator will generate handwritten digits resembling the MNIST data." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "a4fYMGxGhrna" - }, - "outputs": [], - "source": [ - "(train_images, train_labels), (_, _) = tf.keras.datasets.mnist.load_data()" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "NFC2ghIdiZYE" - }, - "outputs": [], - "source": [ - "train_images = train_images.reshape(train_images.shape[0], 28, 28, 1).astype('float32')\n", - "train_images = (train_images - 127.5) / 127.5 # Normalize the images to [-1, 1]" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "S4PIDhoDLbsZ" - }, - "outputs": [], - "source": [ - "BUFFER_SIZE = 60000\n", - "BATCH_SIZE = 256" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "-yKCCQOoJ7cn" - }, - "outputs": [], - "source": [ - "# Batch and shuffle the data\n", - "train_dataset = tf.data.Dataset.from_tensor_slices(train_images).shuffle(BUFFER_SIZE).batch(BATCH_SIZE)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "THY-sZMiQ4UV" - }, - "source": [ - "## Create the models\n", - "\n", - "Both the generator and discriminator are defined using the [Keras Sequential API](https://www.tensorflow.org/guide/keras#sequential_model)." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "-tEyxE-GMC48" - }, - "source": [ - "### The Generator\n", - "\n", - "The generator uses `tf.keras.layers.Conv2DTranspose` (upsampling) layers to produce an image from a seed (random noise). Start with a `Dense` layer that takes this seed as input, then upsample several times until you reach the desired image size of 28x28x1. Notice the `tf.keras.layers.LeakyReLU` activation for each layer, except the output layer which uses tanh." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "6bpTcDqoLWjY" - }, - "outputs": [], - "source": [ - "def make_generator_model():\n", - " model = tf.keras.Sequential()\n", - " model.add(layers.Dense(7*7*256, use_bias=False, input_shape=(100,)))\n", - " model.add(layers.BatchNormalization())\n", - " model.add(layers.LeakyReLU())\n", - "\n", - " model.add(layers.Reshape((7, 7, 256)))\n", - " assert model.output_shape == (None, 7, 7, 256) # Note: None is the batch size\n", - "\n", - " model.add(layers.Conv2DTranspose(128, (5, 5), strides=(1, 1), padding='same', use_bias=False))\n", - " assert model.output_shape == (None, 7, 7, 128)\n", - " model.add(layers.BatchNormalization())\n", - " model.add(layers.LeakyReLU())\n", - "\n", - " model.add(layers.Conv2DTranspose(64, (5, 5), strides=(2, 2), padding='same', use_bias=False))\n", - " assert model.output_shape == (None, 14, 14, 64)\n", - " model.add(layers.BatchNormalization())\n", - " model.add(layers.LeakyReLU())\n", - "\n", - " model.add(layers.Conv2DTranspose(1, (5, 5), strides=(2, 2), padding='same', use_bias=False, activation='tanh'))\n", - " assert model.output_shape == (None, 28, 28, 1)\n", - "\n", - " return model" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "GyWgG09LCSJl" - }, - "source": [ - "Use the (as yet untrained) generator to create an image." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "gl7jcC7TdPTG" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "generator = make_generator_model()\n", - "\n", - "noise = tf.random.normal([1, 100])\n", - "generated_image = generator(noise, training=False)\n", - "\n", - "plt.imshow(generated_image[0, :, :, 0], cmap='gray')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "D0IKnaCtg6WE" - }, - "source": [ - "### The Discriminator\n", - "\n", - "The discriminator is a CNN-based image classifier." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "dw2tPLmk2pEP" - }, - "outputs": [], - "source": [ - "def make_discriminator_model():\n", - " model = tf.keras.Sequential()\n", - " model.add(layers.Conv2D(64, (5, 5), strides=(2, 2), padding='same',\n", - " input_shape=[28, 28, 1]))\n", - " model.add(layers.LeakyReLU())\n", - " model.add(layers.Dropout(0.3))\n", - "\n", - " model.add(layers.Conv2D(128, (5, 5), strides=(2, 2), padding='same'))\n", - " model.add(layers.LeakyReLU())\n", - " model.add(layers.Dropout(0.3))\n", - "\n", - " model.add(layers.Flatten())\n", - " model.add(layers.Dense(1))\n", - "\n", - " return model" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "QhPneagzCaQv" - }, - "source": [ - "Use the (as yet untrained) discriminator to classify the generated images as real or fake. The model will be trained to output positive values for real images, and negative values for fake images." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "gDkA05NE6QMs" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "tf.Tensor([[0.00099409]], shape=(1, 1), dtype=float32)\n" - ] - } - ], - "source": [ - "discriminator = make_discriminator_model()\n", - "decision = discriminator(generated_image)\n", - "print (decision)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "0FMYgY_mPfTi" - }, - "source": [ - "## Define the loss and optimizers\n", - "\n", - "Define loss functions and optimizers for both models.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "psQfmXxYKU3X" - }, - "outputs": [], - "source": [ - "# This method returns a helper function to compute cross entropy loss\n", - "cross_entropy = tf.keras.losses.BinaryCrossentropy(from_logits=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "PKY_iPSPNWoj" - }, - "source": [ - "### Discriminator loss\n", - "\n", - "This method quantifies how well the discriminator is able to distinguish real images from fakes. It compares the discriminator's predictions on real images to an array of 1s, and the discriminator's predictions on fake (generated) images to an array of 0s." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "wkMNfBWlT-PV" - }, - "outputs": [], - "source": [ - "def discriminator_loss(real_output, fake_output):\n", - " real_loss = cross_entropy(tf.ones_like(real_output), real_output)\n", - " fake_loss = cross_entropy(tf.zeros_like(fake_output), fake_output)\n", - " total_loss = real_loss + fake_loss\n", - " return total_loss" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "Jd-3GCUEiKtv" - }, - "source": [ - "### Generator loss\n", - "The generator's loss quantifies how well it was able to trick the discriminator. Intuitively, if the generator is performing well, the discriminator will classify the fake images as real (or 1). Here, we will compare the discriminators decisions on the generated images to an array of 1s." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "90BIcCKcDMxz" - }, - "outputs": [], - "source": [ - "def generator_loss(fake_output):\n", - " return cross_entropy(tf.ones_like(fake_output), fake_output)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "MgIc7i0th_Iu" - }, - "source": [ - "The discriminator and the generator optimizers are different since we will train two networks separately." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "iWCn_PVdEJZ7" - }, - "outputs": [], - "source": [ - "generator_optimizer = tf.keras.optimizers.Adam(1e-4)\n", - "discriminator_optimizer = tf.keras.optimizers.Adam(1e-4)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "mWtinsGDPJlV" - }, - "source": [ - "### Save checkpoints\n", - "This notebook also demonstrates how to save and restore models, which can be helpful in case a long running training task is interrupted." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "CA1w-7s2POEy" - }, - "outputs": [], - "source": [ - "checkpoint_dir = './training_checkpoints'\n", - "checkpoint_prefix = os.path.join(checkpoint_dir, \"ckpt\")\n", - "checkpoint = tf.train.Checkpoint(generator_optimizer=generator_optimizer,\n", - " discriminator_optimizer=discriminator_optimizer,\n", - " generator=generator,\n", - " discriminator=discriminator)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "Rw1fkAczTQYh" - }, - "source": [ - "## Define the training loop\n" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "NS2GWywBbAWo" - }, - "outputs": [], - "source": [ - "EPOCHS = 50\n", - "noise_dim = 100\n", - "num_examples_to_generate = 16\n", - "\n", - "# We will reuse this seed overtime (so it's easier)\n", - "# to visualize progress in the animated GIF)\n", - "seed = tf.random.normal([num_examples_to_generate, noise_dim])" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "jylSonrqSWfi" - }, - "source": [ - "The training loop begins with generator receiving a random seed as input. That seed is used to produce an image. The discriminator is then used to classify real images (drawn from the training set) and fakes images (produced by the generator). The loss is calculated for each of these models, and the gradients are used to update the generator and discriminator." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "3t5ibNo05jCB" - }, - "outputs": [], - "source": [ - "# Notice the use of `tf.function`\n", - "# This annotation causes the function to be \"compiled\".\n", - "@tf.function\n", - "def train_step(images):\n", - " noise = tf.random.normal([BATCH_SIZE, noise_dim])\n", - "\n", - " with tf.GradientTape() as gen_tape, tf.GradientTape() as disc_tape:\n", - " generated_images = generator(noise, training=True)\n", - "\n", - " real_output = discriminator(images, training=True)\n", - " fake_output = discriminator(generated_images, training=True)\n", - "\n", - " gen_loss = generator_loss(fake_output)\n", - " disc_loss = discriminator_loss(real_output, fake_output)\n", - "\n", - " gradients_of_generator = gen_tape.gradient(gen_loss, generator.trainable_variables)\n", - " gradients_of_discriminator = disc_tape.gradient(disc_loss, discriminator.trainable_variables)\n", - "\n", - " generator_optimizer.apply_gradients(zip(gradients_of_generator, generator.trainable_variables))\n", - " discriminator_optimizer.apply_gradients(zip(gradients_of_discriminator, discriminator.trainable_variables))" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "2M7LmLtGEMQJ" - }, - "outputs": [], - "source": [ - "def train(dataset, epochs):\n", - " for epoch in range(epochs):\n", - " start = time.time()\n", - "\n", - " for image_batch in dataset:\n", - " train_step(image_batch)\n", - "\n", - " # Produce images for the GIF as we go\n", - " display.clear_output(wait=True)\n", - " generate_and_save_images(generator,\n", - " epoch + 1,\n", - " seed)\n", - "\n", - " # Save the model every 15 epochs\n", - " if (epoch + 1) % 15 == 0:\n", - " checkpoint.save(file_prefix = checkpoint_prefix)\n", - "\n", - " print ('Time for epoch {} is {} sec'.format(epoch + 1, time.time()-start))\n", - "\n", - " # Generate after the final epoch\n", - " display.clear_output(wait=True)\n", - " generate_and_save_images(generator,\n", - " epochs,\n", - " seed)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "2aFF7Hk3XdeW" - }, - "source": [ - "**Generate and save images**\n" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "RmdVsmvhPxyy" - }, - "outputs": [], - "source": [ - "def generate_and_save_images(model, epoch, test_input):\n", - " # Notice `training` is set to False.\n", - " # This is so all layers run in inference mode (batchnorm).\n", - " predictions = model(test_input, training=False)\n", - "\n", - " fig = plt.figure(figsize=(4,4))\n", - "\n", - " for i in range(predictions.shape[0]):\n", - " plt.subplot(4, 4, i+1)\n", - " plt.imshow(predictions[i, :, :, 0] * 127.5 + 127.5, cmap='gray')\n", - " plt.axis('off')\n", - "\n", - " plt.savefig('image_at_epoch_{:04d}.png'.format(epoch))\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "dZrd4CdjR-Fp" - }, - "source": [ - "## Train the model\n", - "Call the `train()` method defined above to train the generator and discriminator simultaneously. Note, training GANs can be tricky. It's important that the generator and discriminator do not overpower each other (e.g., that they train at a similar rate).\n", - "\n", - "At the beginning of the training, the generated images look like random noise. As training progresses, the generated digits will look increasingly real. After about 50 epochs, they resemble MNIST digits. This may take about one minute / epoch with the default settings on Colab." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "Ly3UN0SLLY2l" - }, - "outputs": [], - "source": [ - "train(train_dataset, EPOCHS)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "rfM4YcPVPkNO" - }, - "source": [ - "Restore the latest checkpoint." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "XhXsd0srPo8c" - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "checkpoint.restore(tf.train.latest_checkpoint(checkpoint_dir))" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "P4M_vIbUi7c0" - }, - "source": [ - "## Create a GIF\n" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "WfO5wCdclHGL" - }, - "outputs": [], - "source": [ - "# Display a single image using the epoch number\n", - "def display_image(epoch_no):\n", - " return PIL.Image.open('image_at_epoch_{:04d}.png'.format(epoch_no))" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "5x3q9_Oe5q0A" - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "display_image(EPOCHS)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "NywiH3nL8guF" - }, - "source": [ - "Use `imageio` to create an animated gif using the images saved during training." - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "IGKQgENQ8lEI" - }, - "outputs": [], - "source": [ - "anim_file = 'dcgan.gif'\n", - "\n", - "with imageio.get_writer(anim_file, mode='I') as writer:\n", - " filenames = glob.glob('image*.png')\n", - " filenames = sorted(filenames)\n", - " last = -1\n", - " for i,filename in enumerate(filenames):\n", - " frame = 2*(i**0.5)\n", - " if round(frame) > round(last):\n", - " last = frame\n", - " else:\n", - " continue\n", - " image = imageio.imread(filename)\n", - " writer.append_data(image)\n", - " image = imageio.imread(filename)\n", - " writer.append_data(image)\n", - "\n", - "import IPython\n", - "if IPython.version_info > (6,2,0,''):\n", - " display.Image(filename=anim_file)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "cGhC3-fMWSwl" - }, - "source": [ - "If you're working in Colab you can download the animation with the code below:" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "uV0yiKpzNP1b" - }, - "outputs": [], - "source": [ - "try:\n", - " from google.colab import files\n", - "except ImportError:\n", - " pass\n", - "else:\n", - " files.download(anim_file)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "k6qC-SbjK0yW" - }, - "source": [ - "## Next steps\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "xjjkT9KAK6H7" - }, - "source": [ - "This tutorial has shown the complete code necessary to write and train a GAN. As a next step, you might like to experiment with a different dataset, for example the Large-scale Celeb Faces Attributes (CelebA) dataset [available on Kaggle](https://www.kaggle.com/jessicali9530/celeba-dataset). To learn more about GANs we recommend the [NIPS 2016 Tutorial: Generative Adversarial Networks](https://arxiv.org/abs/1701.00160).\n" - ] - } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "collapsed_sections": [], - "name": "dcgan.ipynb", - "private_outputs": true, - "provenance": [], - "toc_visible": true - }, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:759d8be78ea02a4d58803b933fa469d1735368195f60434e29491001b0aee55c +size 70339 diff --git a/25. Face Recognition/.ipynb_checkpoints/25.0 Face Extraction from Video - Build Dataset-checkpoint.ipynb b/25. Face Recognition/.ipynb_checkpoints/25.0 Face Extraction from Video - Build Dataset-checkpoint.ipynb index 3c211e88ca6ebc792f42cf7d1c28509c2f4c066c..f2415a76ed395eaf89b3118b0c0da04949f61d94 100644 --- a/25. Face Recognition/.ipynb_checkpoints/25.0 Face Extraction from Video - Build Dataset-checkpoint.ipynb +++ b/25. Face Recognition/.ipynb_checkpoints/25.0 Face Extraction from Video - Build Dataset-checkpoint.ipynb @@ -1,93 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Extracting the faces from a video" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from os import listdir\n", - "from os.path import isfile, join\n", - "import os\n", - "import cv2\n", - "import dlib\n", - "import numpy as np\n", - "\n", - "# Define Image Path Here\n", - "image_path = \"./images/\"\n", - "\n", - "def draw_label(image, point, label, font=cv2.FONT_HERSHEY_SIMPLEX,\n", - " font_scale=0.8, thickness=1):\n", - " size = cv2.getTextSize(label, font, font_scale, thickness)[0]\n", - " x, y = point\n", - " cv2.rectangle(image, (x, y - size[1]), (x + size[0], y), (255, 0, 0), cv2.FILLED)\n", - " cv2.putText(image, label, point, font, font_scale, (255, 255, 255), thickness, lineType=cv2.LINE_AA)\n", - " \n", - "detector = dlib.get_frontal_face_detector()\n", - "\n", - "# Initialize Webcam\n", - "cap = cv2.VideoCapture('testfriends.mp4')\n", - "img_size = 64\n", - "margin = 0.2\n", - "frame_count = 0\n", - "\n", - "while True:\n", - " ret, frame = cap.read()\n", - " frame_count += 1\n", - " print(frame_count) \n", - " \n", - " input_img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n", - " img_h, img_w, _ = np.shape(input_img)\n", - " detected = detector(frame, 1)\n", - " faces = []\n", - " \n", - " if len(detected) > 0:\n", - " for i, d in enumerate(detected):\n", - " x1, y1, x2, y2, w, h = d.left(), d.top(), d.right() + 1, d.bottom() + 1, d.width(), d.height()\n", - " xw1 = max(int(x1 - margin * w), 0)\n", - " yw1 = max(int(y1 - margin * h), 0)\n", - " xw2 = min(int(x2 + margin * w), img_w - 1)\n", - " yw2 = min(int(y2 + margin * h), img_h - 1)\n", - " face = frame[yw1:yw2 + 1, xw1:xw2 + 1, :]\n", - " file_name = \"./faces/\"+str(frame_count)+\"_\"+str(i)+\".jpg\"\n", - " cv2.imwrite(file_name, face)\n", - " cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 0), 2)\n", - "\n", - " cv2.imshow(\"Face Detector\", frame)\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - "\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:2b36b2231a5feaa366136c6aa0dc9026c9ec3b2b83bce6e52eaa64a462fc9786 +size 2867 diff --git a/25. Face Recognition/.ipynb_checkpoints/25.1 Face Recognition - Friends Characters - Train and Test-checkpoint.ipynb b/25. Face Recognition/.ipynb_checkpoints/25.1 Face Recognition - Friends Characters - Train and Test-checkpoint.ipynb index f1f4dfacb083cd69352f3a8c7186c3d089479cf4..fd38a635d2b9e15c52a60d344a78220a256b7342 100644 --- a/25. Face Recognition/.ipynb_checkpoints/25.1 Face Recognition - Friends Characters - Train and Test-checkpoint.ipynb +++ b/25. Face Recognition/.ipynb_checkpoints/25.1 Face Recognition - Friends Characters - Train and Test-checkpoint.ipynb @@ -1,536 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Basic Deep Learning Face Recogntion\n", - "## Building a Friends TV Show Character Identifier" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The learning objective of this lesson (25.1) is the create a 'dumb' face classifer using our LittleVGG model. We are simply training it with 100s of pictures of each Friends Character, and testing our model using a Test Video. \n", - "\n", - "## You will see how this is an in-effective way to do Face Recognition, why?\n", - "## Because a traditional N" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's train our model\n", - "I've created a dataset with the faces of 4 Friends characters taken from a handful of different scenes." - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 2663 images belonging to 4 classes.\n", - "Found 955 images belonging to 4 classes.\n" - ] - } - ], - "source": [ - "from __future__ import print_function\n", - "import keras\n", - "from keras.preprocessing.image import ImageDataGenerator\n", - "from keras.models import Sequential\n", - "from keras.layers import Dense, Dropout, Activation, Flatten, BatchNormalization\n", - "from keras.layers import Conv2D, MaxPooling2D\n", - "from keras.preprocessing.image import ImageDataGenerator\n", - "import os\n", - "\n", - "num_classes = 4\n", - "img_rows, img_cols = 48, 48\n", - "batch_size = 16\n", - "\n", - "train_data_dir = './faces/train'\n", - "validation_data_dir = './faces/validation'\n", - "\n", - "# Let's use some data augmentaiton \n", - "train_datagen = ImageDataGenerator(\n", - " rescale=1./255,\n", - " rotation_range=30,\n", - " shear_range=0.3,\n", - " zoom_range=0.3,\n", - " width_shift_range=0.4,\n", - " height_shift_range=0.4,\n", - " horizontal_flip=True,\n", - " fill_mode='nearest')\n", - " \n", - "validation_datagen = ImageDataGenerator(rescale=1./255)\n", - " \n", - "train_generator = train_datagen.flow_from_directory(\n", - " train_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical',\n", - " shuffle=True)\n", - " \n", - "validation_generator = validation_datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical',\n", - " shuffle=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [], - "source": [ - "#Our Keras imports\n", - "from keras.models import Sequential\n", - "from keras.layers.normalization import BatchNormalization\n", - "from keras.layers.convolutional import Conv2D, MaxPooling2D\n", - "from keras.layers.advanced_activations import ELU\n", - "from keras.layers.core import Activation, Flatten, Dropout, Dense" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Creating a simple VGG based model for Face Recognition" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d_25 (Conv2D) (None, 48, 48, 32) 896 \n", - "_________________________________________________________________\n", - "activation_34 (Activation) (None, 48, 48, 32) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_31 (Batc (None, 48, 48, 32) 128 \n", - "_________________________________________________________________\n", - "conv2d_26 (Conv2D) (None, 48, 48, 32) 9248 \n", - "_________________________________________________________________\n", - "activation_35 (Activation) (None, 48, 48, 32) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_32 (Batc (None, 48, 48, 32) 128 \n", - "_________________________________________________________________\n", - "max_pooling2d_13 (MaxPooling (None, 24, 24, 32) 0 \n", - "_________________________________________________________________\n", - "dropout_19 (Dropout) (None, 24, 24, 32) 0 \n", - "_________________________________________________________________\n", - "conv2d_27 (Conv2D) (None, 24, 24, 64) 18496 \n", - "_________________________________________________________________\n", - "activation_36 (Activation) (None, 24, 24, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_33 (Batc (None, 24, 24, 64) 256 \n", - "_________________________________________________________________\n", - "conv2d_28 (Conv2D) (None, 24, 24, 64) 36928 \n", - "_________________________________________________________________\n", - "activation_37 (Activation) (None, 24, 24, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_34 (Batc (None, 24, 24, 64) 256 \n", - "_________________________________________________________________\n", - "max_pooling2d_14 (MaxPooling (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "dropout_20 (Dropout) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "conv2d_29 (Conv2D) (None, 12, 12, 128) 73856 \n", - "_________________________________________________________________\n", - "activation_38 (Activation) (None, 12, 12, 128) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_35 (Batc (None, 12, 12, 128) 512 \n", - "_________________________________________________________________\n", - "conv2d_30 (Conv2D) (None, 12, 12, 128) 147584 \n", - "_________________________________________________________________\n", - "activation_39 (Activation) (None, 12, 12, 128) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_36 (Batc (None, 12, 12, 128) 512 \n", - "_________________________________________________________________\n", - "max_pooling2d_15 (MaxPooling (None, 6, 6, 128) 0 \n", - "_________________________________________________________________\n", - "dropout_21 (Dropout) (None, 6, 6, 128) 0 \n", - "_________________________________________________________________\n", - "conv2d_31 (Conv2D) (None, 6, 6, 256) 295168 \n", - "_________________________________________________________________\n", - "activation_40 (Activation) (None, 6, 6, 256) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_37 (Batc (None, 6, 6, 256) 1024 \n", - "_________________________________________________________________\n", - "conv2d_32 (Conv2D) (None, 6, 6, 256) 590080 \n", - "_________________________________________________________________\n", - "activation_41 (Activation) (None, 6, 6, 256) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_38 (Batc (None, 6, 6, 256) 1024 \n", - "_________________________________________________________________\n", - "max_pooling2d_16 (MaxPooling (None, 3, 3, 256) 0 \n", - "_________________________________________________________________\n", - "dropout_22 (Dropout) (None, 3, 3, 256) 0 \n", - "_________________________________________________________________\n", - "flatten_4 (Flatten) (None, 2304) 0 \n", - "_________________________________________________________________\n", - "dense_10 (Dense) (None, 64) 147520 \n", - "_________________________________________________________________\n", - "activation_42 (Activation) (None, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_39 (Batc (None, 64) 256 \n", - "_________________________________________________________________\n", - "dropout_23 (Dropout) (None, 64) 0 \n", - "_________________________________________________________________\n", - "dense_11 (Dense) (None, 64) 4160 \n", - "_________________________________________________________________\n", - "activation_43 (Activation) (None, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_40 (Batc (None, 64) 256 \n", - "_________________________________________________________________\n", - "dropout_24 (Dropout) (None, 64) 0 \n", - "_________________________________________________________________\n", - "dense_12 (Dense) (None, 4) 260 \n", - "_________________________________________________________________\n", - "activation_44 (Activation) (None, 4) 0 \n", - "=================================================================\n", - "Total params: 1,328,548\n", - "Trainable params: 1,326,372\n", - "Non-trainable params: 2,176\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "model = Sequential()\n", - "\n", - "model.add(Conv2D(32, (3, 3), padding = 'same', kernel_initializer=\"he_normal\",\n", - " input_shape = (img_rows, img_cols, 3)))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(32, (3, 3), padding = \"same\", kernel_initializer=\"he_normal\", \n", - " input_shape = (img_rows, img_cols, 3)))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #2: second CONV => RELU => CONV => RELU => POOL\n", - "# layer set\n", - "model.add(Conv2D(64, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(64, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #3: third CONV => RELU => CONV => RELU => POOL\n", - "# layer set\n", - "model.add(Conv2D(128, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(128, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #4: third CONV => RELU => CONV => RELU => POOL\n", - "# layer set\n", - "model.add(Conv2D(256, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(256, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #5: first set of FC => RELU layers\n", - "model.add(Flatten())\n", - "model.add(Dense(64, kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Dropout(0.5))\n", - "\n", - "# Block #6: second set of FC => RELU layers\n", - "model.add(Dense(64, kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Dropout(0.5))\n", - "\n", - "# Block #7: softmax classifier\n", - "model.add(Dense(num_classes, kernel_initializer=\"he_normal\"))\n", - "model.add(Activation(\"softmax\"))\n", - "\n", - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Training our Model" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/10\n", - "166/166 [==============================] - 76s 457ms/step - loss: 1.1153 - acc: 0.5700 - val_loss: 1.4428 - val_acc: 0.4841\n", - "\n", - "Epoch 00001: val_loss improved from inf to 1.44279, saving model to /home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5\n", - "Epoch 2/10\n", - "166/166 [==============================] - 67s 403ms/step - loss: 0.7034 - acc: 0.7343 - val_loss: 3.7705 - val_acc: 0.2705\n", - "\n", - "Epoch 00002: val_loss did not improve from 1.44279\n", - "Epoch 3/10\n", - "166/166 [==============================] - 62s 373ms/step - loss: 0.6037 - acc: 0.7690 - val_loss: 0.9403 - val_acc: 0.6912\n", - "\n", - "Epoch 00003: val_loss improved from 1.44279 to 0.94025, saving model to /home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5\n", - "Epoch 4/10\n", - "166/166 [==============================] - 62s 373ms/step - loss: 0.5432 - acc: 0.7988 - val_loss: 1.3018 - val_acc: 0.5548\n", - "\n", - "Epoch 00004: val_loss did not improve from 0.94025\n", - "Epoch 5/10\n", - "166/166 [==============================] - 69s 414ms/step - loss: 0.4715 - acc: 0.8301 - val_loss: 3.8879 - val_acc: 0.1534\n", - "\n", - "Epoch 00005: val_loss did not improve from 0.94025\n", - "Epoch 6/10\n", - "166/166 [==============================] - 77s 467ms/step - loss: 0.4233 - acc: 0.8524 - val_loss: 0.6878 - val_acc: 0.7093\n", - "\n", - "Epoch 00006: val_loss improved from 0.94025 to 0.68784, saving model to /home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5\n", - "Epoch 7/10\n", - "166/166 [==============================] - 71s 429ms/step - loss: 0.4130 - acc: 0.8636 - val_loss: 3.3402 - val_acc: 0.2971\n", - "\n", - "Epoch 00007: val_loss did not improve from 0.68784\n", - "Epoch 8/10\n", - "166/166 [==============================] - 79s 477ms/step - loss: 0.3821 - acc: 0.8748 - val_loss: 2.6729 - val_acc: 0.6283\n", - "\n", - "Epoch 00008: val_loss did not improve from 0.68784\n", - "Epoch 9/10\n", - "166/166 [==============================] - 86s 519ms/step - loss: 0.3622 - acc: 0.8709 - val_loss: 1.5067 - val_acc: 0.5197\n", - "Restoring model weights from the end of the best epoch\n", - "\n", - "Epoch 00009: val_loss did not improve from 0.68784\n", - "\n", - "Epoch 00009: ReduceLROnPlateau reducing learning rate to 0.0019999999552965165.\n", - "Epoch 00009: early stopping\n" - ] - } - ], - "source": [ - "from keras.optimizers import RMSprop, SGD, Adam\n", - "from keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n", - "\n", - " \n", - "checkpoint = ModelCheckpoint(\"/home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5\",\n", - " monitor=\"val_loss\",\n", - " mode=\"min\",\n", - " save_best_only = True,\n", - " verbose=1)\n", - "\n", - "earlystop = EarlyStopping(monitor = 'val_loss', \n", - " min_delta = 0, \n", - " patience = 3,\n", - " verbose = 1,\n", - " restore_best_weights = True)\n", - "\n", - "reduce_lr = ReduceLROnPlateau(monitor = 'val_loss', factor = 0.2, patience = 3, verbose = 1, min_delta = 0.0001)\n", - "\n", - "# we put our call backs into a callback list\n", - "callbacks = [earlystop, checkpoint, reduce_lr]\n", - "\n", - "# We use a very small learning rate \n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = Adam(lr=0.01),\n", - " metrics = ['accuracy'])\n", - "\n", - "nb_train_samples = 2663\n", - "nb_validation_samples = 955\n", - "epochs = 10\n", - "\n", - "history = model.fit_generator(\n", - " train_generator,\n", - " steps_per_epoch = nb_train_samples // batch_size,\n", - " epochs = epochs,\n", - " callbacks = callbacks,\n", - " validation_data = validation_generator,\n", - " validation_steps = nb_validation_samples // batch_size)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Getting our Class Labels" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: 'Chandler', 1: 'Joey', 2: 'Pheobe', 3: 'Rachel'}" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "class_labels = validation_generator.class_indices\n", - "class_labels = {v: k for k, v in class_labels.items()}\n", - "classes = list(class_labels.values())\n", - "class_labels" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Load our model\n", - "from keras.models import load_model\n", - "\n", - "classifier = load_model('/home/deeplearningcv/DeepLearningCV/Trained Models/face_recognition_friends_vgg.h5')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Testing our model on some real video" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [], - "source": [ - "from os import listdir\n", - "from os.path import isfile, join\n", - "import os\n", - "import cv2\n", - "import numpy as np\n", - "\n", - "\n", - "face_classes = {0: 'Chandler', 1: 'Joey', 2: 'Pheobe', 3: 'Rachel'}\n", - "\n", - "def draw_label(image, point, label, font=cv2.FONT_HERSHEY_SIMPLEX,\n", - " font_scale=0.8, thickness=1):\n", - " size = cv2.getTextSize(label, font, font_scale, thickness)[0]\n", - " x, y = point\n", - " cv2.rectangle(image, (x, y - size[1]), (x + size[0], y), (255, 0, 0), cv2.FILLED)\n", - " cv2.putText(image, label, point, font, font_scale, (255, 255, 255), thickness, lineType=cv2.LINE_AA)\n", - " \n", - "margin = 0.2\n", - "# load model and weights\n", - "img_size = 64\n", - "\n", - "detector = dlib.get_frontal_face_detector()\n", - "\n", - "cap = cv2.VideoCapture('testfriends.mp4')\n", - "\n", - "while True:\n", - " ret, frame = cap.read()\n", - " frame = cv2.resize(frame, None, fx=0.5, fy=0.5, interpolation = cv2.INTER_LINEAR)\n", - " preprocessed_faces = [] \n", - " \n", - " input_img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n", - " img_h, img_w, _ = np.shape(input_img)\n", - " detected = detector(frame, 1)\n", - " faces = np.empty((len(detected), img_size, img_size, 3))\n", - " \n", - " preprocessed_faces_emo = []\n", - " if len(detected) > 0:\n", - " for i, d in enumerate(detected):\n", - " x1, y1, x2, y2, w, h = d.left(), d.top(), d.right() + 1, d.bottom() + 1, d.width(), d.height()\n", - " xw1 = max(int(x1 - margin * w), 0)\n", - " yw1 = max(int(y1 - margin * h), 0)\n", - " xw2 = min(int(x2 + margin * w), img_w - 1)\n", - " yw2 = min(int(y2 + margin * h), img_h - 1)\n", - " cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 0), 2)\n", - " # cv2.rectangle(img, (xw1, yw1), (xw2, yw2), (255, 0, 0), 2)\n", - " #faces[i, :, :, :] = cv2.resize(frame[yw1:yw2 + 1, xw1:xw2 + 1, :], (img_size, img_size))\n", - " face = frame[yw1:yw2 + 1, xw1:xw2 + 1, :]\n", - " face = cv2.resize(face, (48, 48), interpolation = cv2.INTER_AREA)\n", - " face = face.astype(\"float\") / 255.0\n", - " face = img_to_array(face)\n", - " face = np.expand_dims(face, axis=0)\n", - " preprocessed_faces.append(face)\n", - "\n", - " # make a prediction for Emotion \n", - " face_labels = []\n", - " for i, d in enumerate(detected):\n", - " preds = classifier.predict(preprocessed_faces[i])[0]\n", - " face_labels.append(face_classes[preds.argmax()])\n", - " \n", - " # draw results\n", - " for i, d in enumerate(detected):\n", - " label = \"{}\".format(face_labels[i])\n", - " draw_label(frame, (d.left(), d.top()), label)\n", - "\n", - " cv2.imshow(\"Friend Character Identifier\", frame)\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - "\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.6" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:169cb30aeae1a32fe7c1ff8da5ecd1c922876310843bd7f89d66dc69880da545 +size 23092 diff --git a/25. Face Recognition/.ipynb_checkpoints/25.2 Face Recogition - Matching Faces-checkpoint.ipynb b/25. Face Recognition/.ipynb_checkpoints/25.2 Face Recogition - Matching Faces-checkpoint.ipynb index cf38d5b8ab4c7619a620eee4d2f614e526515d40..46b8ac0823207074714e93afb758c25eafc4dbd1 100644 --- a/25. Face Recognition/.ipynb_checkpoints/25.2 Face Recogition - Matching Faces-checkpoint.ipynb +++ b/25. Face Recognition/.ipynb_checkpoints/25.2 Face Recogition - Matching Faces-checkpoint.ipynb @@ -1,371 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Face Similarity Matching, the basis our our Face Classifier\n", - "\n", - "In this section, we will load a pre-trained model of VGGFace (trainined on thousands of faces) and use it, together with a similarity metric, to define whether two faces are of the same person" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# Import our libaries\n", - "from tensorflow.keras.models import Model, Sequential\n", - "from tensorflow.keras.layers import Input, Convolution2D, ZeroPadding2D, MaxPooling2D, Flatten, Dense, Dropout, Activation\n", - "from PIL import Image\n", - "import numpy as np\n", - "from tensorflow.keras.preprocessing.image import load_img, save_img, img_to_array\n", - "from tensorflow.keras.applications.imagenet_utils import preprocess_input\n", - "from tensorflow.keras.preprocessing import image\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define our VGGFace Model" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model created\n" - ] - } - ], - "source": [ - "model = Sequential()\n", - "model.add(ZeroPadding2D((1,1),input_shape=(224,224, 3)))\n", - "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(Convolution2D(4096, (7, 7), activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Convolution2D(4096, (1, 1), activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Convolution2D(2622, (1, 1)))\n", - "model.add(Flatten())\n", - "model.add(Activation('softmax'))\n", - "print(\"Model created\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load out VGG Face Weights" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "#you can download the pretrained weights from the following link \n", - "#https://drive.google.com/file/d/1CPSeum3HpopfomUEK1gybeuIVoeJT_Eo/view?usp=sharing\n", - "#or you can find the detailed documentation https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/\n", - "\n", - "from tensorflow.keras.models import model_from_json\n", - "\n", - "model.load_weights('vgg_face_weights.h5')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define our very important findCosineSimilarity function.\n", - "We also load our findEuclideanDistance() function and will show the distance metric used to create a similarity score between the faces under comparison " - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "def preprocess_image(image_path):\n", - " img = load_img(image_path, target_size=(224, 224))\n", - " img = img_to_array(img)\n", - " img = np.expand_dims(img, axis=0)\n", - " img = preprocess_input(img)\n", - " return img\n", - "\n", - "def findCosineSimilarity(source_representation, test_representation):\n", - " a = np.matmul(np.transpose(source_representation), test_representation)\n", - " b = np.sum(np.multiply(source_representation, source_representation))\n", - " c = np.sum(np.multiply(test_representation, test_representation))\n", - " return 1 - (a / (np.sqrt(b) * np.sqrt(c)))\n", - "\n", - "\n", - "vgg_face_descriptor = Model(inputs=model.layers[0].input, outputs=model.layers[-2].output)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define our verifyFace function where we load to images of faces and compare them.\n", - "\n", - "We set **epsilon** to be the threshold of whether our two faces are the same person. Setting a lower value makes it more strict with our face matching." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "epsilon = 0.40\n", - "\n", - "def verifyFace(img1, img2):\n", - " img1_representation = vgg_face_descriptor.predict(preprocess_image('./training_faces/%s' % (img1)))[0,:]\n", - " img2_representation = vgg_face_descriptor.predict(preprocess_image('./training_faces/%s' % (img2)))[0,:]\n", - " \n", - " cosine_similarity = findCosineSimilarity(img1_representation, img2_representation)\n", - " \n", - " f = plt.figure()\n", - " f.add_subplot(1,2, 1)\n", - " plt.imshow(image.load_img('./training_faces/%s' % (img1)))\n", - " plt.xticks([]); plt.yticks([])\n", - " f.add_subplot(1,2, 2)\n", - " plt.imshow(image.load_img('./training_faces/%s' % (img2)))\n", - " plt.xticks([]); plt.yticks([])\n", - " plt.show(block=True)\n", - " \n", - " print(\"Cosine similarity: \",cosine_similarity)\n", - " \n", - " if(cosine_similarity < epsilon):\n", - " print(\"They are same person\")\n", - " else:\n", - " print(\"They are not same person!\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Let's a run a few tests" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cosine similarity: 0.2544904947280884\n", - "They are same person\n" - ] - } - ], - "source": [ - "# Let's compare two faces images of Angelina Jolie\n", - "verifyFace(\"angelina.jpg\", \"angelina2.jpg\")" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cosine similarity: 0.4739535450935364\n", - "They are not same person!\n" - ] - } - ], - "source": [ - "# Let's now compare it to the Friends character Monica, it should return that these are two different people\n", - "verifyFace(\"angelina.jpg\", \"Monica.jpg\")" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cosine similarity: 0.7327100932598114\n", - "They are not same person!\n" - ] - } - ], - "source": [ - "# Let's try it with Rachel\n", - "verifyFace(\"angelina.jpg\", \"Rachel.jpg\")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cosine similarity: 0.6882018446922302\n", - "They are not same person!\n" - ] - } - ], - "source": [ - "# And now Pheobe\n", - "verifyFace(\"angelina.jpg\", \"Pheobe.jpg\")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cosine similarity: 0.38444697856903076\n", - "They are same person\n" - ] - } - ], - "source": [ - "# Now let's try it with another image of Angelina Jolie\n", - "verifyFace(\"angelina.jpg\", \"angelina3.jpg\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### There we see that our Face Matcher is working quite well as it's able to distinguish Angelina Jolie from other actresses" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:b56873c1c300a8881fc6c5c990a698375936685f78a19c775ba108649acf5236 +size 562067 diff --git a/25. Face Recognition/.ipynb_checkpoints/25.3 Face Recogition - One Shot Learning-checkpoint.ipynb b/25. Face Recognition/.ipynb_checkpoints/25.3 Face Recogition - One Shot Learning-checkpoint.ipynb index e5b71ea7cf46e0cf69e3448c7dfbca16bdbd13d4..f45bc3cfd3286fc86308ff3868d54778a7849b44 100644 --- a/25. Face Recognition/.ipynb_checkpoints/25.3 Face Recogition - One Shot Learning-checkpoint.ipynb +++ b/25. Face Recognition/.ipynb_checkpoints/25.3 Face Recogition - One Shot Learning-checkpoint.ipynb @@ -1,406 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 1. Extract faces from pictures of people \n", - "### Instrutions:\n", - "- Place photos of people (one face visible) in the folder called \"./people\"\n", - "- Replace my photo titled \"Rajeev.jpg\" with a piture of your face for testing on a webcam\n", - "- Faces are extracted using the haarcascade_frontalface_default detector model\n", - "- Extracted faces are placed in the folder called \"./group_of_faces\"\n", - "#### We are extracting the faces needed for our one-shot learning model, it will load 5 extracted faces" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Collected image names\n" - ] - } - ], - "source": [ - "# The code below extracts faces from images and places them in the folder\n", - "from os import listdir\n", - "from os.path import isfile, join\n", - "import cv2\n", - "\n", - "# Loading out HAARCascade Face Detector \n", - "face_detector = cv2.CascadeClassifier('Haarcascades/haarcascade_frontalface_default.xml')\n", - "\n", - "# Directory of image of persons we'll be extracting faces frommy\n", - "mypath = \"./people/\"\n", - "image_file_names = [f for f in listdir(mypath) if isfile(join(mypath, f))]\n", - "print(\"Collected image names\")\n", - "\n", - "for image_name in image_file_names:\n", - " person_image = cv2.imread(mypath+image_name)\n", - " face_info = face_detector.detectMultiScale(person_image, 1.3, 5)\n", - " for (x,y,w,h) in face_info:\n", - " face = person_image[y:y+h, x:x+w]\n", - " roi = cv2.resize(face, (128, 128), interpolation = cv2.INTER_CUBIC)\n", - " path = \"./group_of_faces/\" + \"face_\" + image_name \n", - " cv2.imwrite(path, roi)\n", - " cv2.imshow(\"face\", roi)\n", - " \n", - " cv2.waitKey(0)\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2. Load our VGGFaceModel \n", - "- This block of code defines the VGGFace model (which we use later) and loads the model" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model Loaded\n" - ] - } - ], - "source": [ - "#author Sefik Ilkin Serengil\n", - "#you can find the documentation of this code from the following link: https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/\n", - "\n", - "import numpy as np\n", - "import cv2\n", - "\n", - "from tensorflow.keras.models import Model, Sequential\n", - "from tensorflow.keras.layers import Input, Convolution2D, ZeroPadding2D, MaxPooling2D, Flatten, Dense, Dropout, Activation\n", - "from PIL import Image\n", - "from tensorflow.keras.preprocessing.image import load_img, save_img, img_to_array\n", - "from tensorflow.keras.applications.imagenet_utils import preprocess_input\n", - "from tensorflow.keras.preprocessing import image\n", - "import matplotlib.pyplot as plt\n", - "from os import listdir\n", - "\n", - "def preprocess_image(image_path):\n", - " \"\"\"Loads image from path and resizes it\"\"\"\n", - " img = load_img(image_path, target_size=(224, 224))\n", - " img = img_to_array(img)\n", - " img = np.expand_dims(img, axis=0)\n", - " img = preprocess_input(img)\n", - " return img\n", - "\n", - "model = Sequential()\n", - "model.add(ZeroPadding2D((1,1),input_shape=(224,224, 3)))\n", - "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(Convolution2D(4096, (7, 7), activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Convolution2D(4096, (1, 1), activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Convolution2D(2622, (1, 1)))\n", - "model.add(Flatten())\n", - "model.add(Activation('softmax'))\n", - "\n", - "#you can download pretrained weights from https://drive.google.com/file/d/1CPSeum3HpopfomUEK1gybeuIVoeJT_Eo/view?usp=sharing\n", - "from tensorflow.keras.models import model_from_json\n", - "model.load_weights('vgg_face_weights.h5')\n", - "\n", - "vgg_face_descriptor = Model(inputs=model.layers[0].input, outputs=model.layers[-2].output)\n", - "\n", - "model = vgg_face_descriptor\n", - "\n", - " \n", - "print(\"Model Loaded\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 3. Test model using your Webcam\n", - "This code looks up the faces you extracted in the \"group_of_faces\" folder and uses the similarity (Cosine Similarity) to detect which faces is most similar to the one being extracted with your webcam." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Face representations retrieved successfully\n" - ] - } - ], - "source": [ - "#points to your extracted faces\n", - "people_pictures = \"./group_of_faces/\"\n", - "\n", - "all_people_faces = dict()\n", - "\n", - "for file in listdir(people_pictures):\n", - " person_face, extension = file.split(\".\")\n", - " all_people_faces[person_face] = model.predict(preprocess_image('./group_of_faces/%s.jpg' % (person_face)))[0,:]\n", - "\n", - "print(\"Face representations retrieved successfully\")\n", - "\n", - "def findCosineSimilarity(source_representation, test_representation):\n", - " a = np.matmul(np.transpose(source_representation), test_representation)\n", - " b = np.sum(np.multiply(source_representation, source_representation))\n", - " c = np.sum(np.multiply(test_representation, test_representation))\n", - " return 1 - (a / (np.sqrt(b) * np.sqrt(c)))\n", - "\n", - "#Open Webcam\n", - "cap = cv2.VideoCapture(0) \n", - "\n", - "while(True):\n", - " ret, img = cap.read()\n", - " faces = face_detector.detectMultiScale(img, 1.3, 5)\n", - "\n", - " for (x,y,w,h) in faces:\n", - " if w > 100: #Adjust accordingly if your webcam resoluation is higher\n", - " cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) #draw rectangle to main image\n", - " detected_face = img[int(y):int(y+h), int(x):int(x+w)] #crop detected face\n", - " detected_face = cv2.resize(detected_face, (224, 224)) #resize to 224x224\n", - "\n", - " img_pixels = image.img_to_array(detected_face)\n", - " img_pixels = np.expand_dims(img_pixels, axis = 0)\n", - " img_pixels /= 255\n", - "\n", - " captured_representation = model.predict(img_pixels)[0,:]\n", - "\n", - " found = 0\n", - " for i in all_people_faces:\n", - " person_name = i\n", - " representation = all_people_faces[i]\n", - "\n", - " similarity = findCosineSimilarity(representation, captured_representation)\n", - " if(similarity < 0.30):\n", - " cv2.putText(img, person_name[5:], (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)\n", - " found = 1\n", - " break\n", - "\n", - " #connect face and text\n", - " cv2.line(img,(int((x+x+w)/2),y+15),(x+w,y-20),(255, 0, 0),1)\n", - " cv2.line(img,(x+w,y-20),(x+w+10,y-20),(255, 0, 0),1)\n", - "\n", - " if(found == 0): #if found image is not in our people database\n", - " cv2.putText(img, 'unknown', (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2)\n", - "\n", - " cv2.imshow('img',img)\n", - "\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - " \n", - "cap.release()\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Test on a video\n", - "### Since we're using the Friends TV Series characters, let's extract the faces from the images I placed in the \"./friends\" folder" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Collected image names\n" - ] - } - ], - "source": [ - "from os import listdir\n", - "from os.path import isfile, join\n", - "import cv2\n", - "\n", - "# Loading out HAARCascade Face Detector \n", - "face_detector = cv2.CascadeClassifier('Haarcascades/haarcascade_frontalface_default.xml')\n", - "\n", - "# Directory of image of persons we'll be extracting faces frommy\n", - "mypath = \"./friends/\"\n", - "image_file_names = [f for f in listdir(mypath) if isfile(join(mypath, f))]\n", - "print(\"Collected image names\")\n", - "\n", - "for image_name in image_file_names:\n", - " person_image = cv2.imread(mypath+image_name)\n", - " face_info = face_detector.detectMultiScale(person_image, 1.3, 5)\n", - " for (x,y,w,h) in face_info:\n", - " face = person_image[y:y+h, x:x+w]\n", - " roi = cv2.resize(face, (128, 128), interpolation = cv2.INTER_CUBIC)\n", - " path = \"./friends_faces/\" + \"face_\" + image_name \n", - " cv2.imwrite(path, roi)\n", - " cv2.imshow(\"face\", roi)\n", - " \n", - " cv2.waitKey(0)\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Again, we load our faces from the \"friends_faces\" directory and we run our face classifier model our test video" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Face representations retrieved successfully\n" - ] - } - ], - "source": [ - "#points to your extracted faces\n", - "people_pictures = \"./friends_faces/\"\n", - "\n", - "all_people_faces = dict()\n", - "\n", - "for file in listdir(people_pictures):\n", - " person_face, extension = file.split(\".\")\n", - " all_people_faces[person_face] = model.predict(preprocess_image('./friends_faces/%s.jpg' % (person_face)))[0,:]\n", - "\n", - "print(\"Face representations retrieved successfully\")\n", - "\n", - "def findCosineSimilarity(source_representation, test_representation):\n", - " a = np.matmul(np.transpose(source_representation), test_representation)\n", - " b = np.sum(np.multiply(source_representation, source_representation))\n", - " c = np.sum(np.multiply(test_representation, test_representation))\n", - " return 1 - (a / (np.sqrt(b) * np.sqrt(c)))\n", - "\n", - "cap = cv2.VideoCapture('testfriends.mp4')\n", - "\n", - "while(True):\n", - " ret, img = cap.read()\n", - " img = cv2.resize(img, (320, 180)) # Re-size video to as smaller size to improve face detection speed\n", - " faces = face_detector.detectMultiScale(img, 1.3, 5)\n", - "\n", - " for (x,y,w,h) in faces:\n", - " if w > 13: \n", - " cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) #draw rectangle to main image\n", - "\n", - " detected_face = img[int(y):int(y+h), int(x):int(x+w)] #crop detected face\n", - " detected_face = cv2.resize(detected_face, (224, 224)) #resize to 224x224\n", - "\n", - " img_pixels = image.img_to_array(detected_face)\n", - " img_pixels = np.expand_dims(img_pixels, axis = 0)\n", - " img_pixels /= 255\n", - "\n", - " captured_representation = model.predict(img_pixels)[0,:]\n", - "\n", - " found = 0\n", - " for i in all_people_faces:\n", - " person_name = i\n", - " representation = all_people_faces[i]\n", - "\n", - " similarity = findCosineSimilarity(representation, captured_representation)\n", - " if(similarity < 0.30):\n", - " cv2.putText(img, person_name[5:], (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)\n", - " found = 1\n", - " break\n", - "\n", - " #connect face and text\n", - " cv2.line(img,(int((x+x+w)/2),y+15),(x+w,y-20),(255, 0, 0),1)\n", - " cv2.line(img,(x+w,y-20),(x+w+10,y-20),(255, 0, 0),1)\n", - "\n", - " if(found == 0): #if found image is not in our people database\n", - " cv2.putText(img, 'unknown', (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2)\n", - "\n", - " cv2.imshow('img',img)\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - "\n", - "#kill open cv things\n", - "cap.release()\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:3cd80b0b58742fc9c3563f3d11cf3e608b8b533ab498516b25072b291751f420 +size 15335 diff --git a/25. Face Recognition/.ipynb_checkpoints/Face Recogition - Matching Faces-checkpoint.ipynb b/25. Face Recognition/.ipynb_checkpoints/Face Recogition - Matching Faces-checkpoint.ipynb index 2fd64429bf421126b7000c94ce0f6fd186fbd01f..667f756d4a47f30d1a5ec013860b026abec170eb 100644 --- a/25. Face Recognition/.ipynb_checkpoints/Face Recogition - Matching Faces-checkpoint.ipynb +++ b/25. Face Recognition/.ipynb_checkpoints/Face Recogition - Matching Faces-checkpoint.ipynb @@ -1,6 +1,3 @@ -{ - "cells": [], - "metadata": {}, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:188143f20ba64ead32853235735c589180056b6c7c47541744479767de696e37 +size 72 diff --git a/25. Face Recognition/.ipynb_checkpoints/Face Recogition - One Shot Learning-checkpoint.ipynb b/25. Face Recognition/.ipynb_checkpoints/Face Recogition - One Shot Learning-checkpoint.ipynb index a79e2e1f10078ea3c76fe053fa21f645f43b2f85..71fe2bde76c443141cc817d5ca449dcb46a94f97 100644 --- a/25. Face Recognition/.ipynb_checkpoints/Face Recogition - One Shot Learning-checkpoint.ipynb +++ b/25. Face Recognition/.ipynb_checkpoints/Face Recogition - One Shot Learning-checkpoint.ipynb @@ -1,390 +1,3 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using TensorFlow backend.\n" - ] - } - ], - "source": [ - "from keras.models import Model, Sequential\n", - "from keras.layers import Input, Convolution2D, ZeroPadding2D, MaxPooling2D, Flatten, Dense, Dropout, Activation\n", - "from PIL import Image\n", - "import numpy as np\n", - "from keras.preprocessing.image import load_img, save_img, img_to_array\n", - "from keras.applications.imagenet_utils import preprocess_input\n", - "from keras.preprocessing import image\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "model = Sequential()\n", - "model.add(ZeroPadding2D((1,1),input_shape=(224,224, 3)))\n", - "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(Convolution2D(4096, (7, 7), activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Convolution2D(4096, (1, 1), activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Convolution2D(2622, (1, 1)))\n", - "model.add(Flatten())\n", - "model.add(Activation('softmax'))" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "#you can download the pretrained weights from the following link \n", - "#https://drive.google.com/file/d/1CPSeum3HpopfomUEK1gybeuIVoeJT_Eo/view?usp=sharing\n", - "#or you can find the detailed documentation https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/\n", - "\n", - "from keras.models import model_from_json\n", - "model.load_weights('vgg_face_weights.h5')" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "def preprocess_image(image_path):\n", - " img = load_img(image_path, target_size=(224, 224))\n", - " img = img_to_array(img)\n", - " img = np.expand_dims(img, axis=0)\n", - " img = preprocess_input(img)\n", - " return img\n", - "\n", - "def findCosineSimilarity(source_representation, test_representation):\n", - " a = np.matmul(np.transpose(source_representation), test_representation)\n", - " b = np.sum(np.multiply(source_representation, source_representation))\n", - " c = np.sum(np.multiply(test_representation, test_representation))\n", - " return 1 - (a / (np.sqrt(b) * np.sqrt(c)))\n", - "\n", - "def findEuclideanDistance(source_representation, test_representation):\n", - " euclidean_distance = source_representation - test_representation\n", - " euclidean_distance = np.sum(np.multiply(euclidean_distance, euclidean_distance))\n", - " euclidean_distance = np.sqrt(euclidean_distance)\n", - " return euclidean_distance\n", - "\n", - "vgg_face_descriptor = Model(inputs=model.layers[0].input, outputs=model.layers[-2].output)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "epsilon = 0.40\n", - "\n", - "def verifyFace(img1, img2):\n", - " img1_representation = vgg_face_descriptor.predict(preprocess_image('./training_faces/%s' % (img1)))[0,:]\n", - " img2_representation = vgg_face_descriptor.predict(preprocess_image('./training_faces/%s' % (img2)))[0,:]\n", - " \n", - " cosine_similarity = findCosineSimilarity(img1_representation, img2_representation)\n", - " euclidean_distance = findEuclideanDistance(img1_representation, img2_representation)\n", - " \n", - " print(\"Cosine similarity: \",cosine_similarity)\n", - " print(\"Euclidean distance: \",euclidean_distance)\n", - " \n", - " if(cosine_similarity < epsilon):\n", - " print(\"verified... they are same person\")\n", - " else:\n", - " print(\"unverified! they are not same person!\")\n", - " \n", - " f = plt.figure()\n", - " f.add_subplot(1,2, 1)\n", - " plt.imshow(image.load_img('./training_faces/%s' % (img1)))\n", - " plt.xticks([]); plt.yticks([])\n", - " f.add_subplot(1,2, 2)\n", - " plt.imshow(image.load_img('./training_faces/%s' % (img2)))\n", - " plt.xticks([]); plt.yticks([])\n", - " plt.show(block=True)\n", - " print(\"-----------------------------------------\")" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cosine similarity: 0.2544904947280884\n", - "Euclidean distance: 117.61526\n", - "verified... they are same person\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-----------------------------------------\n" - ] - } - ], - "source": [ - "verifyFace(\"angelina.jpg\", \"angelina2.jpg\")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "employee representations retrieved successfully\n" - ] - } - ], - "source": [ - "#author Sefik Ilkin Serengil\n", - "#you can find the documentation of this code from the following link: https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/\n", - "\n", - "import numpy as np\n", - "import cv2\n", - "\n", - "from keras.models import Model, Sequential\n", - "from keras.layers import Input, Convolution2D, ZeroPadding2D, MaxPooling2D, Flatten, Dense, Dropout, Activation\n", - "from PIL import Image\n", - "from keras.preprocessing.image import load_img, save_img, img_to_array\n", - "from keras.applications.imagenet_utils import preprocess_input\n", - "from keras.preprocessing import image\n", - "import matplotlib.pyplot as plt\n", - "\n", - "from os import listdir\n", - "#-----------------------\n", - "\n", - "color = (67,67,67)\n", - "\n", - "#face_cascade = cv2.CascadeClassifier('C:/Users/IS96273/AppData\\Local/Continuum/anaconda3/pkgs/opencv-3.3.1-py35h20b85fd_1/Library/etc/haarcascades/haarcascade_frontalface_default.xml')\n", - "face_cascade = cv2.CascadeClassifier('./Haarcascades/haarcascade_frontalface_default.xml')\n", - "\n", - "def preprocess_image(image_path):\n", - " img = load_img(image_path, target_size=(224, 224))\n", - " img = img_to_array(img)\n", - " img = np.expand_dims(img, axis=0)\n", - " img = preprocess_input(img)\n", - " return img\n", - "\n", - "def loadVggFaceModel():\n", - "\tmodel = Sequential()\n", - "\tmodel.add(ZeroPadding2D((1,1),input_shape=(224,224, 3)))\n", - "\tmodel.add(Convolution2D(64, (3, 3), activation='relu'))\n", - "\tmodel.add(ZeroPadding2D((1,1)))\n", - "\tmodel.add(Convolution2D(64, (3, 3), activation='relu'))\n", - "\tmodel.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "\tmodel.add(ZeroPadding2D((1,1)))\n", - "\tmodel.add(Convolution2D(128, (3, 3), activation='relu'))\n", - "\tmodel.add(ZeroPadding2D((1,1)))\n", - "\tmodel.add(Convolution2D(128, (3, 3), activation='relu'))\n", - "\tmodel.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "\tmodel.add(ZeroPadding2D((1,1)))\n", - "\tmodel.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "\tmodel.add(ZeroPadding2D((1,1)))\n", - "\tmodel.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "\tmodel.add(ZeroPadding2D((1,1)))\n", - "\tmodel.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "\tmodel.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "\tmodel.add(ZeroPadding2D((1,1)))\n", - "\tmodel.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "\tmodel.add(ZeroPadding2D((1,1)))\n", - "\tmodel.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "\tmodel.add(ZeroPadding2D((1,1)))\n", - "\tmodel.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "\tmodel.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "\tmodel.add(ZeroPadding2D((1,1)))\n", - "\tmodel.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "\tmodel.add(ZeroPadding2D((1,1)))\n", - "\tmodel.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "\tmodel.add(ZeroPadding2D((1,1)))\n", - "\tmodel.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "\tmodel.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "\tmodel.add(Convolution2D(4096, (7, 7), activation='relu'))\n", - "\tmodel.add(Dropout(0.5))\n", - "\tmodel.add(Convolution2D(4096, (1, 1), activation='relu'))\n", - "\tmodel.add(Dropout(0.5))\n", - "\tmodel.add(Convolution2D(2622, (1, 1)))\n", - "\tmodel.add(Flatten())\n", - "\tmodel.add(Activation('softmax'))\n", - "\t\n", - "\t#you can download pretrained weights from https://drive.google.com/file/d/1CPSeum3HpopfomUEK1gybeuIVoeJT_Eo/view?usp=sharing\n", - "\tfrom keras.models import model_from_json\n", - "\tmodel.load_weights('vgg_face_weights.h5')\n", - "\t\n", - "\tvgg_face_descriptor = Model(inputs=model.layers[0].input, outputs=model.layers[-2].output)\n", - "\t\n", - "\treturn vgg_face_descriptor\n", - "\n", - "model = loadVggFaceModel()\n", - "\n", - "#------------------------\n", - "\n", - "#put your employee pictures in this path as name_of_employee.jpg\n", - "employee_pictures = \"./group_of_faces/\"\n", - "\n", - "employees = dict()\n", - "\n", - "for file in listdir(employee_pictures):\n", - "\temployee, extension = file.split(\".\")\n", - "\temployees[employee] = model.predict(preprocess_image('./group_of_faces/%s.jpg' % (employee)))[0,:]\n", - "\t\n", - "print(\"employee representations retrieved successfully\")\n", - "\n", - "def findCosineSimilarity(source_representation, test_representation):\n", - " a = np.matmul(np.transpose(source_representation), test_representation)\n", - " b = np.sum(np.multiply(source_representation, source_representation))\n", - " c = np.sum(np.multiply(test_representation, test_representation))\n", - " return 1 - (a / (np.sqrt(b) * np.sqrt(c)))\n", - "\n", - "#------------------------\n", - "\n", - "cap = cv2.VideoCapture(0) #webcam\n", - "#cap = cv2.VideoCapture('C:/Users/IS96273/Desktop/zuckerberg.mp4') #video\n", - "\n", - "while(True):\n", - "\tret, img = cap.read()\n", - "\t#img = cv2.resize(img, (640, 360))\n", - "\tfaces = face_cascade.detectMultiScale(img, 1.3, 5)\n", - "\t\n", - "\tfor (x,y,w,h) in faces:\n", - "\t\tif w > 130: \n", - "\t\t\t#cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) #draw rectangle to main image\n", - "\t\t\t\n", - "\t\t\tdetected_face = img[int(y):int(y+h), int(x):int(x+w)] #crop detected face\n", - "\t\t\tdetected_face = cv2.resize(detected_face, (224, 224)) #resize to 224x224\n", - "\t\t\t\n", - "\t\t\timg_pixels = image.img_to_array(detected_face)\n", - "\t\t\timg_pixels = np.expand_dims(img_pixels, axis = 0)\n", - "\t\t\timg_pixels /= 255\n", - "\t\t\t\n", - "\t\t\tcaptured_representation = model.predict(img_pixels)[0,:]\n", - "\t\t\t\n", - "\t\t\tfound = 0\n", - "\t\t\tfor i in employees:\n", - "\t\t\t\temployee_name = i\n", - "\t\t\t\trepresentation = employees[i]\n", - "\t\t\t\t\n", - "\t\t\t\tsimilarity = findCosineSimilarity(representation, captured_representation)\n", - "\t\t\t\tif(similarity < 0.30):\n", - "\t\t\t\t\tcv2.putText(img, employee_name, (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, color, 2)\n", - "\t\t\t\t\t\n", - "\t\t\t\t\tfound = 1\n", - "\t\t\t\t\tbreak\n", - "\t\t\t\t\t\n", - "\t\t\t#connect face and text\n", - "\t\t\tcv2.line(img,(int((x+x+w)/2),y+15),(x+w,y-20),color,1)\n", - "\t\t\tcv2.line(img,(x+w,y-20),(x+w+10,y-20),color,1)\n", - "\t\t\n", - "\t\t\tif(found == 0): #if found image is not in employee database\n", - "\t\t\t\tcv2.putText(img, 'unknown', (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, color, 2)\n", - "\t\n", - "\tcv2.imshow('img',img)\n", - "\t\n", - "\tif cv2.waitKey(1) & 0xFF == ord('q'): #press q to quit\n", - "\t\tbreak\n", - "\t\n", - "#kill open cv things\t\t\n", - "cap.release()\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.6" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:0696ba4683244693de1c4c814cabad7e538aba96ec82da6f907a2211a6ff1b33 +size 124961 diff --git a/25. Face Recognition/25.0 Face Extraction from Video - Build Dataset.ipynb b/25. Face Recognition/25.0 Face Extraction from Video - Build Dataset.ipynb index 3c211e88ca6ebc792f42cf7d1c28509c2f4c066c..f2415a76ed395eaf89b3118b0c0da04949f61d94 100644 --- a/25. Face Recognition/25.0 Face Extraction from Video - Build Dataset.ipynb +++ b/25. Face Recognition/25.0 Face Extraction from Video - Build Dataset.ipynb @@ -1,93 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Extracting the faces from a video" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from os import listdir\n", - "from os.path import isfile, join\n", - "import os\n", - "import cv2\n", - "import dlib\n", - "import numpy as np\n", - "\n", - "# Define Image Path Here\n", - "image_path = \"./images/\"\n", - "\n", - "def draw_label(image, point, label, font=cv2.FONT_HERSHEY_SIMPLEX,\n", - " font_scale=0.8, thickness=1):\n", - " size = cv2.getTextSize(label, font, font_scale, thickness)[0]\n", - " x, y = point\n", - " cv2.rectangle(image, (x, y - size[1]), (x + size[0], y), (255, 0, 0), cv2.FILLED)\n", - " cv2.putText(image, label, point, font, font_scale, (255, 255, 255), thickness, lineType=cv2.LINE_AA)\n", - " \n", - "detector = dlib.get_frontal_face_detector()\n", - "\n", - "# Initialize Webcam\n", - "cap = cv2.VideoCapture('testfriends.mp4')\n", - "img_size = 64\n", - "margin = 0.2\n", - "frame_count = 0\n", - "\n", - "while True:\n", - " ret, frame = cap.read()\n", - " frame_count += 1\n", - " print(frame_count) \n", - " \n", - " input_img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n", - " img_h, img_w, _ = np.shape(input_img)\n", - " detected = detector(frame, 1)\n", - " faces = []\n", - " \n", - " if len(detected) > 0:\n", - " for i, d in enumerate(detected):\n", - " x1, y1, x2, y2, w, h = d.left(), d.top(), d.right() + 1, d.bottom() + 1, d.width(), d.height()\n", - " xw1 = max(int(x1 - margin * w), 0)\n", - " yw1 = max(int(y1 - margin * h), 0)\n", - " xw2 = min(int(x2 + margin * w), img_w - 1)\n", - " yw2 = min(int(y2 + margin * h), img_h - 1)\n", - " face = frame[yw1:yw2 + 1, xw1:xw2 + 1, :]\n", - " file_name = \"./faces/\"+str(frame_count)+\"_\"+str(i)+\".jpg\"\n", - " cv2.imwrite(file_name, face)\n", - " cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 0), 2)\n", - "\n", - " cv2.imshow(\"Face Detector\", frame)\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - "\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:2b36b2231a5feaa366136c6aa0dc9026c9ec3b2b83bce6e52eaa64a462fc9786 +size 2867 diff --git a/25. Face Recognition/25.1 Face Recognition - Friends Characters - Train and Test.ipynb b/25. Face Recognition/25.1 Face Recognition - Friends Characters - Train and Test.ipynb index ccb0a2615fc2e31ab9e820bc942e240a2cfe4c13..cdaeb26b9d19606ec016b64659f5cf56ba0de239 100644 --- a/25. Face Recognition/25.1 Face Recognition - Friends Characters - Train and Test.ipynb +++ b/25. Face Recognition/25.1 Face Recognition - Friends Characters - Train and Test.ipynb @@ -1,521 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Basic Deep Learning Face Recogntion\n", - "## Building a Friends TV Show Character Identifier" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The learning objective of this lesson (25.1) is the create a 'dumb' face classifer using our LittleVGG model. We are simply training it with 100s of pictures of each Friends Character, and testing our model using a Test Video. \n", - "\n", - "## You will see how this is an in-effective way to do Face Recognition, why?\n", - "Because a traditional CNN will be looking at small subsections of a face to identify it. However, the angle and deformation of a face can easily throw off our model, making it mis-classify and match it to faces that aren't correct - this will happen a lot especially when our training data looks different to our test data. Imagine if the training data, one face was titled downward mostly. Our CNN will more likely identify any future face on our test data that looks downward, to be that face." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's train our model\n", - "I've created a dataset with the faces of 4 Friends characters taken from a handful of different scenes." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 2663 images belonging to 4 classes.\n", - "Found 955 images belonging to 4 classes.\n" - ] - } - ], - "source": [ - "from __future__ import print_function\n", - "import tensorflow as tf \n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten, BatchNormalization\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "import os\n", - "\n", - "num_classes = 4\n", - "img_rows, img_cols = 48, 48\n", - "batch_size = 16\n", - "\n", - "train_data_dir = './faces/train'\n", - "validation_data_dir = './faces/validation'\n", - "\n", - "# Let's use some data augmentaiton \n", - "train_datagen = ImageDataGenerator(\n", - " rescale=1./255,\n", - " rotation_range=30,\n", - " shear_range=0.3,\n", - " zoom_range=0.3,\n", - " width_shift_range=0.4,\n", - " height_shift_range=0.4,\n", - " horizontal_flip=True,\n", - " fill_mode='nearest')\n", - " \n", - "validation_datagen = ImageDataGenerator(rescale=1./255)\n", - " \n", - "train_generator = train_datagen.flow_from_directory(\n", - " train_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical',\n", - " shuffle=True)\n", - " \n", - "validation_generator = validation_datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " target_size=(img_rows, img_cols),\n", - " batch_size=batch_size,\n", - " class_mode='categorical',\n", - " shuffle=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "#Our Keras imports\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import BatchNormalization\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", - "from tensorflow.keras.layers import ELU\n", - "from tensorflow.keras.layers import Activation, Flatten, Dropout, Dense" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Creating a simple VGG based model for Face Recognition" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d (Conv2D) (None, 48, 48, 32) 896 \n", - "_________________________________________________________________\n", - "activation (Activation) (None, 48, 48, 32) 0 \n", - "_________________________________________________________________\n", - "batch_normalization (BatchNo (None, 48, 48, 32) 128 \n", - "_________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 48, 48, 32) 9248 \n", - "_________________________________________________________________\n", - "activation_1 (Activation) (None, 48, 48, 32) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_1 (Batch (None, 48, 48, 32) 128 \n", - "_________________________________________________________________\n", - "max_pooling2d (MaxPooling2D) (None, 24, 24, 32) 0 \n", - "_________________________________________________________________\n", - "dropout (Dropout) (None, 24, 24, 32) 0 \n", - "_________________________________________________________________\n", - "conv2d_2 (Conv2D) (None, 24, 24, 64) 18496 \n", - "_________________________________________________________________\n", - "activation_2 (Activation) (None, 24, 24, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_2 (Batch (None, 24, 24, 64) 256 \n", - "_________________________________________________________________\n", - "conv2d_3 (Conv2D) (None, 24, 24, 64) 36928 \n", - "_________________________________________________________________\n", - "activation_3 (Activation) (None, 24, 24, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_3 (Batch (None, 24, 24, 64) 256 \n", - "_________________________________________________________________\n", - "max_pooling2d_1 (MaxPooling2 (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "dropout_1 (Dropout) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "conv2d_4 (Conv2D) (None, 12, 12, 128) 73856 \n", - "_________________________________________________________________\n", - "activation_4 (Activation) (None, 12, 12, 128) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_4 (Batch (None, 12, 12, 128) 512 \n", - "_________________________________________________________________\n", - "conv2d_5 (Conv2D) (None, 12, 12, 128) 147584 \n", - "_________________________________________________________________\n", - "activation_5 (Activation) (None, 12, 12, 128) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_5 (Batch (None, 12, 12, 128) 512 \n", - "_________________________________________________________________\n", - "max_pooling2d_2 (MaxPooling2 (None, 6, 6, 128) 0 \n", - "_________________________________________________________________\n", - "dropout_2 (Dropout) (None, 6, 6, 128) 0 \n", - "_________________________________________________________________\n", - "conv2d_6 (Conv2D) (None, 6, 6, 256) 295168 \n", - "_________________________________________________________________\n", - "activation_6 (Activation) (None, 6, 6, 256) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_6 (Batch (None, 6, 6, 256) 1024 \n", - "_________________________________________________________________\n", - "conv2d_7 (Conv2D) (None, 6, 6, 256) 590080 \n", - "_________________________________________________________________\n", - "activation_7 (Activation) (None, 6, 6, 256) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_7 (Batch (None, 6, 6, 256) 1024 \n", - "_________________________________________________________________\n", - "max_pooling2d_3 (MaxPooling2 (None, 3, 3, 256) 0 \n", - "_________________________________________________________________\n", - "dropout_3 (Dropout) (None, 3, 3, 256) 0 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 2304) 0 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 64) 147520 \n", - "_________________________________________________________________\n", - "activation_8 (Activation) (None, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_8 (Batch (None, 64) 256 \n", - "_________________________________________________________________\n", - "dropout_4 (Dropout) (None, 64) 0 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 64) 4160 \n", - "_________________________________________________________________\n", - "activation_9 (Activation) (None, 64) 0 \n", - "_________________________________________________________________\n", - "batch_normalization_9 (Batch (None, 64) 256 \n", - "_________________________________________________________________\n", - "dropout_5 (Dropout) (None, 64) 0 \n", - "_________________________________________________________________\n", - "dense_2 (Dense) (None, 4) 260 \n", - "_________________________________________________________________\n", - "activation_10 (Activation) (None, 4) 0 \n", - "=================================================================\n", - "Total params: 1,328,548\n", - "Trainable params: 1,326,372\n", - "Non-trainable params: 2,176\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "model = Sequential()\n", - "\n", - "model.add(Conv2D(32, (3, 3), padding = 'same', kernel_initializer=\"he_normal\",\n", - " input_shape = (img_rows, img_cols, 3)))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(32, (3, 3), padding = \"same\", kernel_initializer=\"he_normal\", \n", - " input_shape = (img_rows, img_cols, 3)))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #2: second CONV => RELU => CONV => RELU => POOL\n", - "# layer set\n", - "model.add(Conv2D(64, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(64, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #3: third CONV => RELU => CONV => RELU => POOL\n", - "# layer set\n", - "model.add(Conv2D(128, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(128, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #4: third CONV => RELU => CONV => RELU => POOL\n", - "# layer set\n", - "model.add(Conv2D(256, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Conv2D(256, (3, 3), padding=\"same\", kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.2))\n", - "\n", - "# Block #5: first set of FC => RELU layers\n", - "model.add(Flatten())\n", - "model.add(Dense(64, kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Dropout(0.5))\n", - "\n", - "# Block #6: second set of FC => RELU layers\n", - "model.add(Dense(64, kernel_initializer=\"he_normal\"))\n", - "model.add(Activation('elu'))\n", - "model.add(BatchNormalization())\n", - "model.add(Dropout(0.5))\n", - "\n", - "# Block #7: softmax classifier\n", - "model.add(Dense(num_classes, kernel_initializer=\"he_normal\"))\n", - "model.add(Activation(\"softmax\"))\n", - "\n", - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Training our Model" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "Train for 166 steps, validate for 59 steps\n", - "165/166 [============================>.] - ETA: 0s - loss: 0.8249 - accuracy: 0.6743\n", - "Epoch 00001: val_loss improved from inf to 2.41761, saving model to face_recognition_friends_vgg.h5\n", - "166/166 [==============================] - 73s 437ms/step - loss: 0.8229 - accuracy: 0.6747 - val_loss: 2.4176 - val_accuracy: 0.3623\n" - ] - } - ], - "source": [ - "from tensorflow.keras.optimizers import RMSprop, SGD, Adam\n", - "from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n", - "\n", - " \n", - "checkpoint = ModelCheckpoint(\"face_recognition_friends_vgg.h5\",\n", - " monitor=\"val_loss\",\n", - " mode=\"min\",\n", - " save_best_only = True,\n", - " verbose=1)\n", - "\n", - "earlystop = EarlyStopping(monitor = 'val_loss', \n", - " min_delta = 0, \n", - " patience = 3,\n", - " verbose = 1,\n", - " restore_best_weights = True)\n", - "\n", - "reduce_lr = ReduceLROnPlateau(monitor = 'val_loss', factor = 0.2, patience = 3, verbose = 1, min_delta = 0.0001)\n", - "\n", - "# we put our call backs into a callback list\n", - "callbacks = [earlystop, checkpoint, reduce_lr]\n", - "\n", - "# We use a very small learning rate \n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = Adam(lr=0.01),\n", - " metrics = ['accuracy'])\n", - "\n", - "nb_train_samples = 2663\n", - "nb_validation_samples = 955\n", - "epochs = 1\n", - "\n", - "history = model.fit_generator(\n", - " train_generator,\n", - " steps_per_epoch = nb_train_samples // batch_size,\n", - " epochs = epochs,\n", - " callbacks = callbacks,\n", - " validation_data = validation_generator,\n", - " validation_steps = nb_validation_samples // batch_size)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Getting our Class Labels" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: 'Chandler', 1: 'Joey', 2: 'Pheobe', 3: 'Rachel'}" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "class_labels = validation_generator.class_indices\n", - "class_labels = {v: k for k, v in class_labels.items()}\n", - "classes = list(class_labels.values())\n", - "class_labels" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "# Load our model\n", - "from tensorflow.keras.models import load_model\n", - "\n", - "classifier = load_model('face_recognition_friends_vgg.h5')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Testing our model on some real video" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'dlib' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 19\u001b[0m \u001b[0mimg_size\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m64\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 20\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 21\u001b[1;33m \u001b[0mdetector\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdlib\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_frontal_face_detector\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 22\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 23\u001b[0m \u001b[0mcap\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mVideoCapture\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'testfriends.mp4'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mNameError\u001b[0m: name 'dlib' is not defined" - ] - } - ], - "source": [ - "from os import listdir\n", - "from os.path import isfile, join\n", - "import os\n", - "import cv2\n", - "import numpy as np\n", - "\n", - "\n", - "face_classes = {0: 'Chandler', 1: 'Joey', 2: 'Pheobe', 3: 'Rachel'}\n", - "\n", - "def draw_label(image, point, label, font=cv2.FONT_HERSHEY_SIMPLEX,\n", - " font_scale=0.8, thickness=1):\n", - " size = cv2.getTextSize(label, font, font_scale, thickness)[0]\n", - " x, y = point\n", - " cv2.rectangle(image, (x, y - size[1]), (x + size[0], y), (255, 0, 0), cv2.FILLED)\n", - " cv2.putText(image, label, point, font, font_scale, (255, 255, 255), thickness, lineType=cv2.LINE_AA)\n", - " \n", - "margin = 0.2\n", - "# load model and weights\n", - "img_size = 64\n", - "\n", - "detector = dlib.get_frontal_face_detector()\n", - "\n", - "cap = cv2.VideoCapture('testfriends.mp4')\n", - "\n", - "while True:\n", - " ret, frame = cap.read()\n", - " frame = cv2.resize(frame, None, fx=0.5, fy=0.5, interpolation = cv2.INTER_LINEAR)\n", - " preprocessed_faces = [] \n", - " \n", - " input_img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)\n", - " img_h, img_w, _ = np.shape(input_img)\n", - " detected = detector(frame, 1)\n", - " faces = np.empty((len(detected), img_size, img_size, 3))\n", - " \n", - " preprocessed_faces_emo = []\n", - " if len(detected) > 0:\n", - " for i, d in enumerate(detected):\n", - " x1, y1, x2, y2, w, h = d.left(), d.top(), d.right() + 1, d.bottom() + 1, d.width(), d.height()\n", - " xw1 = max(int(x1 - margin * w), 0)\n", - " yw1 = max(int(y1 - margin * h), 0)\n", - " xw2 = min(int(x2 + margin * w), img_w - 1)\n", - " yw2 = min(int(y2 + margin * h), img_h - 1)\n", - " cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 0), 2)\n", - " # cv2.rectangle(img, (xw1, yw1), (xw2, yw2), (255, 0, 0), 2)\n", - " #faces[i, :, :, :] = cv2.resize(frame[yw1:yw2 + 1, xw1:xw2 + 1, :], (img_size, img_size))\n", - " face = frame[yw1:yw2 + 1, xw1:xw2 + 1, :]\n", - " face = cv2.resize(face, (48, 48), interpolation = cv2.INTER_AREA)\n", - " face = face.astype(\"float\") / 255.0\n", - " face = img_to_array(face)\n", - " face = np.expand_dims(face, axis=0)\n", - " preprocessed_faces.append(face)\n", - "\n", - " # make a prediction for Emotion \n", - " face_labels = []\n", - " for i, d in enumerate(detected):\n", - " preds = classifier.predict(preprocessed_faces[i])[0]\n", - " face_labels.append(face_classes[preds.argmax()])\n", - " \n", - " # draw results\n", - " for i, d in enumerate(detected):\n", - " label = \"{}\".format(face_labels[i])\n", - " draw_label(frame, (d.left(), d.top()), label)\n", - "\n", - " cv2.imshow(\"Friend Character Identifier\", frame)\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - "\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:784af02a73ac8697fc56342a62f4a599fcbddcb44476d64e828af3e086f4b624 +size 23012 diff --git a/25. Face Recognition/25.2 Face Recogition - Matching Faces.ipynb b/25. Face Recognition/25.2 Face Recogition - Matching Faces.ipynb index cf38d5b8ab4c7619a620eee4d2f614e526515d40..46b8ac0823207074714e93afb758c25eafc4dbd1 100644 --- a/25. Face Recognition/25.2 Face Recogition - Matching Faces.ipynb +++ b/25. Face Recognition/25.2 Face Recogition - Matching Faces.ipynb @@ -1,371 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Face Similarity Matching, the basis our our Face Classifier\n", - "\n", - "In this section, we will load a pre-trained model of VGGFace (trainined on thousands of faces) and use it, together with a similarity metric, to define whether two faces are of the same person" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# Import our libaries\n", - "from tensorflow.keras.models import Model, Sequential\n", - "from tensorflow.keras.layers import Input, Convolution2D, ZeroPadding2D, MaxPooling2D, Flatten, Dense, Dropout, Activation\n", - "from PIL import Image\n", - "import numpy as np\n", - "from tensorflow.keras.preprocessing.image import load_img, save_img, img_to_array\n", - "from tensorflow.keras.applications.imagenet_utils import preprocess_input\n", - "from tensorflow.keras.preprocessing import image\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define our VGGFace Model" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model created\n" - ] - } - ], - "source": [ - "model = Sequential()\n", - "model.add(ZeroPadding2D((1,1),input_shape=(224,224, 3)))\n", - "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(Convolution2D(4096, (7, 7), activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Convolution2D(4096, (1, 1), activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Convolution2D(2622, (1, 1)))\n", - "model.add(Flatten())\n", - "model.add(Activation('softmax'))\n", - "print(\"Model created\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load out VGG Face Weights" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "#you can download the pretrained weights from the following link \n", - "#https://drive.google.com/file/d/1CPSeum3HpopfomUEK1gybeuIVoeJT_Eo/view?usp=sharing\n", - "#or you can find the detailed documentation https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/\n", - "\n", - "from tensorflow.keras.models import model_from_json\n", - "\n", - "model.load_weights('vgg_face_weights.h5')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define our very important findCosineSimilarity function.\n", - "We also load our findEuclideanDistance() function and will show the distance metric used to create a similarity score between the faces under comparison " - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "def preprocess_image(image_path):\n", - " img = load_img(image_path, target_size=(224, 224))\n", - " img = img_to_array(img)\n", - " img = np.expand_dims(img, axis=0)\n", - " img = preprocess_input(img)\n", - " return img\n", - "\n", - "def findCosineSimilarity(source_representation, test_representation):\n", - " a = np.matmul(np.transpose(source_representation), test_representation)\n", - " b = np.sum(np.multiply(source_representation, source_representation))\n", - " c = np.sum(np.multiply(test_representation, test_representation))\n", - " return 1 - (a / (np.sqrt(b) * np.sqrt(c)))\n", - "\n", - "\n", - "vgg_face_descriptor = Model(inputs=model.layers[0].input, outputs=model.layers[-2].output)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define our verifyFace function where we load to images of faces and compare them.\n", - "\n", - "We set **epsilon** to be the threshold of whether our two faces are the same person. Setting a lower value makes it more strict with our face matching." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "epsilon = 0.40\n", - "\n", - "def verifyFace(img1, img2):\n", - " img1_representation = vgg_face_descriptor.predict(preprocess_image('./training_faces/%s' % (img1)))[0,:]\n", - " img2_representation = vgg_face_descriptor.predict(preprocess_image('./training_faces/%s' % (img2)))[0,:]\n", - " \n", - " cosine_similarity = findCosineSimilarity(img1_representation, img2_representation)\n", - " \n", - " f = plt.figure()\n", - " f.add_subplot(1,2, 1)\n", - " plt.imshow(image.load_img('./training_faces/%s' % (img1)))\n", - " plt.xticks([]); plt.yticks([])\n", - " f.add_subplot(1,2, 2)\n", - " plt.imshow(image.load_img('./training_faces/%s' % (img2)))\n", - " plt.xticks([]); plt.yticks([])\n", - " plt.show(block=True)\n", - " \n", - " print(\"Cosine similarity: \",cosine_similarity)\n", - " \n", - " if(cosine_similarity < epsilon):\n", - " print(\"They are same person\")\n", - " else:\n", - " print(\"They are not same person!\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Let's a run a few tests" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cosine similarity: 0.2544904947280884\n", - "They are same person\n" - ] - } - ], - "source": [ - "# Let's compare two faces images of Angelina Jolie\n", - "verifyFace(\"angelina.jpg\", \"angelina2.jpg\")" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cosine similarity: 0.4739535450935364\n", - "They are not same person!\n" - ] - } - ], - "source": [ - "# Let's now compare it to the Friends character Monica, it should return that these are two different people\n", - "verifyFace(\"angelina.jpg\", \"Monica.jpg\")" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cosine similarity: 0.7327100932598114\n", - "They are not same person!\n" - ] - } - ], - "source": [ - "# Let's try it with Rachel\n", - "verifyFace(\"angelina.jpg\", \"Rachel.jpg\")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cosine similarity: 0.6882018446922302\n", - "They are not same person!\n" - ] - } - ], - "source": [ - "# And now Pheobe\n", - "verifyFace(\"angelina.jpg\", \"Pheobe.jpg\")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cosine similarity: 0.38444697856903076\n", - "They are same person\n" - ] - } - ], - "source": [ - "# Now let's try it with another image of Angelina Jolie\n", - "verifyFace(\"angelina.jpg\", \"angelina3.jpg\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### There we see that our Face Matcher is working quite well as it's able to distinguish Angelina Jolie from other actresses" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:b56873c1c300a8881fc6c5c990a698375936685f78a19c775ba108649acf5236 +size 562067 diff --git a/25. Face Recognition/25.3 Face Recogition - One Shot Learning.ipynb b/25. Face Recognition/25.3 Face Recogition - One Shot Learning.ipynb index e5b71ea7cf46e0cf69e3448c7dfbca16bdbd13d4..f45bc3cfd3286fc86308ff3868d54778a7849b44 100644 --- a/25. Face Recognition/25.3 Face Recogition - One Shot Learning.ipynb +++ b/25. Face Recognition/25.3 Face Recogition - One Shot Learning.ipynb @@ -1,406 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 1. Extract faces from pictures of people \n", - "### Instrutions:\n", - "- Place photos of people (one face visible) in the folder called \"./people\"\n", - "- Replace my photo titled \"Rajeev.jpg\" with a piture of your face for testing on a webcam\n", - "- Faces are extracted using the haarcascade_frontalface_default detector model\n", - "- Extracted faces are placed in the folder called \"./group_of_faces\"\n", - "#### We are extracting the faces needed for our one-shot learning model, it will load 5 extracted faces" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Collected image names\n" - ] - } - ], - "source": [ - "# The code below extracts faces from images and places them in the folder\n", - "from os import listdir\n", - "from os.path import isfile, join\n", - "import cv2\n", - "\n", - "# Loading out HAARCascade Face Detector \n", - "face_detector = cv2.CascadeClassifier('Haarcascades/haarcascade_frontalface_default.xml')\n", - "\n", - "# Directory of image of persons we'll be extracting faces frommy\n", - "mypath = \"./people/\"\n", - "image_file_names = [f for f in listdir(mypath) if isfile(join(mypath, f))]\n", - "print(\"Collected image names\")\n", - "\n", - "for image_name in image_file_names:\n", - " person_image = cv2.imread(mypath+image_name)\n", - " face_info = face_detector.detectMultiScale(person_image, 1.3, 5)\n", - " for (x,y,w,h) in face_info:\n", - " face = person_image[y:y+h, x:x+w]\n", - " roi = cv2.resize(face, (128, 128), interpolation = cv2.INTER_CUBIC)\n", - " path = \"./group_of_faces/\" + \"face_\" + image_name \n", - " cv2.imwrite(path, roi)\n", - " cv2.imshow(\"face\", roi)\n", - " \n", - " cv2.waitKey(0)\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2. Load our VGGFaceModel \n", - "- This block of code defines the VGGFace model (which we use later) and loads the model" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model Loaded\n" - ] - } - ], - "source": [ - "#author Sefik Ilkin Serengil\n", - "#you can find the documentation of this code from the following link: https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/\n", - "\n", - "import numpy as np\n", - "import cv2\n", - "\n", - "from tensorflow.keras.models import Model, Sequential\n", - "from tensorflow.keras.layers import Input, Convolution2D, ZeroPadding2D, MaxPooling2D, Flatten, Dense, Dropout, Activation\n", - "from PIL import Image\n", - "from tensorflow.keras.preprocessing.image import load_img, save_img, img_to_array\n", - "from tensorflow.keras.applications.imagenet_utils import preprocess_input\n", - "from tensorflow.keras.preprocessing import image\n", - "import matplotlib.pyplot as plt\n", - "from os import listdir\n", - "\n", - "def preprocess_image(image_path):\n", - " \"\"\"Loads image from path and resizes it\"\"\"\n", - " img = load_img(image_path, target_size=(224, 224))\n", - " img = img_to_array(img)\n", - " img = np.expand_dims(img, axis=0)\n", - " img = preprocess_input(img)\n", - " return img\n", - "\n", - "model = Sequential()\n", - "model.add(ZeroPadding2D((1,1),input_shape=(224,224, 3)))\n", - "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(64, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(128, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(256, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(ZeroPadding2D((1,1)))\n", - "model.add(Convolution2D(512, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D((2,2), strides=(2,2)))\n", - "\n", - "model.add(Convolution2D(4096, (7, 7), activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Convolution2D(4096, (1, 1), activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Convolution2D(2622, (1, 1)))\n", - "model.add(Flatten())\n", - "model.add(Activation('softmax'))\n", - "\n", - "#you can download pretrained weights from https://drive.google.com/file/d/1CPSeum3HpopfomUEK1gybeuIVoeJT_Eo/view?usp=sharing\n", - "from tensorflow.keras.models import model_from_json\n", - "model.load_weights('vgg_face_weights.h5')\n", - "\n", - "vgg_face_descriptor = Model(inputs=model.layers[0].input, outputs=model.layers[-2].output)\n", - "\n", - "model = vgg_face_descriptor\n", - "\n", - " \n", - "print(\"Model Loaded\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 3. Test model using your Webcam\n", - "This code looks up the faces you extracted in the \"group_of_faces\" folder and uses the similarity (Cosine Similarity) to detect which faces is most similar to the one being extracted with your webcam." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Face representations retrieved successfully\n" - ] - } - ], - "source": [ - "#points to your extracted faces\n", - "people_pictures = \"./group_of_faces/\"\n", - "\n", - "all_people_faces = dict()\n", - "\n", - "for file in listdir(people_pictures):\n", - " person_face, extension = file.split(\".\")\n", - " all_people_faces[person_face] = model.predict(preprocess_image('./group_of_faces/%s.jpg' % (person_face)))[0,:]\n", - "\n", - "print(\"Face representations retrieved successfully\")\n", - "\n", - "def findCosineSimilarity(source_representation, test_representation):\n", - " a = np.matmul(np.transpose(source_representation), test_representation)\n", - " b = np.sum(np.multiply(source_representation, source_representation))\n", - " c = np.sum(np.multiply(test_representation, test_representation))\n", - " return 1 - (a / (np.sqrt(b) * np.sqrt(c)))\n", - "\n", - "#Open Webcam\n", - "cap = cv2.VideoCapture(0) \n", - "\n", - "while(True):\n", - " ret, img = cap.read()\n", - " faces = face_detector.detectMultiScale(img, 1.3, 5)\n", - "\n", - " for (x,y,w,h) in faces:\n", - " if w > 100: #Adjust accordingly if your webcam resoluation is higher\n", - " cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) #draw rectangle to main image\n", - " detected_face = img[int(y):int(y+h), int(x):int(x+w)] #crop detected face\n", - " detected_face = cv2.resize(detected_face, (224, 224)) #resize to 224x224\n", - "\n", - " img_pixels = image.img_to_array(detected_face)\n", - " img_pixels = np.expand_dims(img_pixels, axis = 0)\n", - " img_pixels /= 255\n", - "\n", - " captured_representation = model.predict(img_pixels)[0,:]\n", - "\n", - " found = 0\n", - " for i in all_people_faces:\n", - " person_name = i\n", - " representation = all_people_faces[i]\n", - "\n", - " similarity = findCosineSimilarity(representation, captured_representation)\n", - " if(similarity < 0.30):\n", - " cv2.putText(img, person_name[5:], (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)\n", - " found = 1\n", - " break\n", - "\n", - " #connect face and text\n", - " cv2.line(img,(int((x+x+w)/2),y+15),(x+w,y-20),(255, 0, 0),1)\n", - " cv2.line(img,(x+w,y-20),(x+w+10,y-20),(255, 0, 0),1)\n", - "\n", - " if(found == 0): #if found image is not in our people database\n", - " cv2.putText(img, 'unknown', (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2)\n", - "\n", - " cv2.imshow('img',img)\n", - "\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - " \n", - "cap.release()\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Test on a video\n", - "### Since we're using the Friends TV Series characters, let's extract the faces from the images I placed in the \"./friends\" folder" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Collected image names\n" - ] - } - ], - "source": [ - "from os import listdir\n", - "from os.path import isfile, join\n", - "import cv2\n", - "\n", - "# Loading out HAARCascade Face Detector \n", - "face_detector = cv2.CascadeClassifier('Haarcascades/haarcascade_frontalface_default.xml')\n", - "\n", - "# Directory of image of persons we'll be extracting faces frommy\n", - "mypath = \"./friends/\"\n", - "image_file_names = [f for f in listdir(mypath) if isfile(join(mypath, f))]\n", - "print(\"Collected image names\")\n", - "\n", - "for image_name in image_file_names:\n", - " person_image = cv2.imread(mypath+image_name)\n", - " face_info = face_detector.detectMultiScale(person_image, 1.3, 5)\n", - " for (x,y,w,h) in face_info:\n", - " face = person_image[y:y+h, x:x+w]\n", - " roi = cv2.resize(face, (128, 128), interpolation = cv2.INTER_CUBIC)\n", - " path = \"./friends_faces/\" + \"face_\" + image_name \n", - " cv2.imwrite(path, roi)\n", - " cv2.imshow(\"face\", roi)\n", - " \n", - " cv2.waitKey(0)\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Again, we load our faces from the \"friends_faces\" directory and we run our face classifier model our test video" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Face representations retrieved successfully\n" - ] - } - ], - "source": [ - "#points to your extracted faces\n", - "people_pictures = \"./friends_faces/\"\n", - "\n", - "all_people_faces = dict()\n", - "\n", - "for file in listdir(people_pictures):\n", - " person_face, extension = file.split(\".\")\n", - " all_people_faces[person_face] = model.predict(preprocess_image('./friends_faces/%s.jpg' % (person_face)))[0,:]\n", - "\n", - "print(\"Face representations retrieved successfully\")\n", - "\n", - "def findCosineSimilarity(source_representation, test_representation):\n", - " a = np.matmul(np.transpose(source_representation), test_representation)\n", - " b = np.sum(np.multiply(source_representation, source_representation))\n", - " c = np.sum(np.multiply(test_representation, test_representation))\n", - " return 1 - (a / (np.sqrt(b) * np.sqrt(c)))\n", - "\n", - "cap = cv2.VideoCapture('testfriends.mp4')\n", - "\n", - "while(True):\n", - " ret, img = cap.read()\n", - " img = cv2.resize(img, (320, 180)) # Re-size video to as smaller size to improve face detection speed\n", - " faces = face_detector.detectMultiScale(img, 1.3, 5)\n", - "\n", - " for (x,y,w,h) in faces:\n", - " if w > 13: \n", - " cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) #draw rectangle to main image\n", - "\n", - " detected_face = img[int(y):int(y+h), int(x):int(x+w)] #crop detected face\n", - " detected_face = cv2.resize(detected_face, (224, 224)) #resize to 224x224\n", - "\n", - " img_pixels = image.img_to_array(detected_face)\n", - " img_pixels = np.expand_dims(img_pixels, axis = 0)\n", - " img_pixels /= 255\n", - "\n", - " captured_representation = model.predict(img_pixels)[0,:]\n", - "\n", - " found = 0\n", - " for i in all_people_faces:\n", - " person_name = i\n", - " representation = all_people_faces[i]\n", - "\n", - " similarity = findCosineSimilarity(representation, captured_representation)\n", - " if(similarity < 0.30):\n", - " cv2.putText(img, person_name[5:], (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)\n", - " found = 1\n", - " break\n", - "\n", - " #connect face and text\n", - " cv2.line(img,(int((x+x+w)/2),y+15),(x+w,y-20),(255, 0, 0),1)\n", - " cv2.line(img,(x+w,y-20),(x+w+10,y-20),(255, 0, 0),1)\n", - "\n", - " if(found == 0): #if found image is not in our people database\n", - " cv2.putText(img, 'unknown', (int(x+w+15), int(y-12)), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2)\n", - "\n", - " cv2.imshow('img',img)\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - "\n", - "#kill open cv things\n", - "cap.release()\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:3cd80b0b58742fc9c3563f3d11cf3e608b8b533ab498516b25072b291751f420 +size 15335 diff --git a/26. Credit Card/26. Credit Card Reader.ipynb b/26. Credit Card/26. Credit Card Reader.ipynb index a2dd1561d2503acf5eaf35cb69480d5170431de9..bb1dd739d482e7acd0523236f8d2af9e9674bd0e 100644 --- a/26. Credit Card/26. Credit Card Reader.ipynb +++ b/26. Credit Card/26. Credit Card Reader.ipynb @@ -1,1066 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 1. Let's Create Our Credit Card Dataset\n", - "- There two main font variations used in credit cards" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import cv2\n", - "\n", - "cc1 = cv2.imread('creditcard_digits1.jpg', 0)\n", - "cv2.imshow(\"Digits 1\", cc1)\n", - "cv2.waitKey(0)\n", - "cc2 = cv2.imread('creditcard_digits2.jpg', 0)\n", - "cv2.imshow(\"Digits 2\", cc2)\n", - "cv2.waitKey(0)\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "cc1 = cv2.imread('creditcard_digits2.jpg', 0)\n", - "_, th2 = cv2.threshold(cc1, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)\n", - "cv2.imshow(\"Digits 2 Thresholded\", th2)\n", - "cv2.waitKey(0)\n", - " \n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Now let's get generate an Augumentated Dataset from these two samples \n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "./credit_card/train/0\n", - "./credit_card/train/1\n", - "./credit_card/train/2\n", - "./credit_card/train/3\n", - "./credit_card/train/4\n", - "./credit_card/train/5\n", - "./credit_card/train/6\n", - "./credit_card/train/7\n", - "./credit_card/train/8\n", - "./credit_card/train/9\n", - "./credit_card/test/0\n", - "./credit_card/test/1\n", - "./credit_card/test/2\n", - "./credit_card/test/3\n", - "./credit_card/test/4\n", - "./credit_card/test/5\n", - "./credit_card/test/6\n", - "./credit_card/test/7\n", - "./credit_card/test/8\n", - "./credit_card/test/9\n" - ] - } - ], - "source": [ - "#Create our dataset directories\n", - "\n", - "import os\n", - "\n", - "def makedir(directory):\n", - " \"\"\"Creates a new directory if it does not exist\"\"\"\n", - " if not os.path.exists(directory):\n", - " os.makedirs(directory)\n", - " return None, 0\n", - " \n", - "for i in range(0,10):\n", - " directory_name = \"./credit_card/train/\"+str(i)\n", - " print(directory_name)\n", - " makedir(directory_name) \n", - "\n", - "for i in range(0,10):\n", - " directory_name = \"./credit_card/test/\"+str(i)\n", - " print(directory_name)\n", - " makedir(directory_name)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Let's make our Data Augmentation Functions\n", - "These are used to perform image manipulation and pre-processing tasks" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "import cv2\n", - "import numpy as np \n", - "import random\n", - "import cv2\n", - "from scipy.ndimage import convolve\n", - "\n", - "def DigitAugmentation(frame, dim = 32):\n", - " \"\"\"Randomly alters the image using noise, pixelation and streching image functions\"\"\"\n", - " frame = cv2.resize(frame, None, fx=2, fy=2, interpolation = cv2.INTER_CUBIC)\n", - " frame = cv2.cvtColor(frame, cv2.COLOR_GRAY2RGB)\n", - " random_num = np.random.randint(0,9)\n", - "\n", - " if (random_num % 2 == 0):\n", - " frame = add_noise(frame)\n", - " if(random_num % 3 == 0):\n", - " frame = pixelate(frame)\n", - " if(random_num % 2 == 0):\n", - " frame = stretch(frame)\n", - " frame = cv2.resize(frame, (dim, dim), interpolation = cv2.INTER_AREA)\n", - "\n", - " return frame \n", - "\n", - "def add_noise(image):\n", - " \"\"\"Addings noise to image\"\"\"\n", - " prob = random.uniform(0.01, 0.05)\n", - " rnd = np.random.rand(image.shape[0], image.shape[1])\n", - " noisy = image.copy()\n", - " noisy[rnd < prob] = 0\n", - " noisy[rnd > 1 - prob] = 1\n", - " return noisy\n", - "\n", - "def pixelate(image):\n", - " \"Pixelates an image by reducing the resolution then upscaling it\"\n", - " dim = np.random.randint(8,12)\n", - " image = cv2.resize(image, (dim, dim), interpolation = cv2.INTER_AREA)\n", - " image = cv2.resize(image, (16, 16), interpolation = cv2.INTER_AREA)\n", - " return image\n", - "\n", - "def stretch(image):\n", - " \"Randomly applies different degrees of stretch to image\"\n", - " ran = np.random.randint(0,3)*2\n", - " if np.random.randint(0,2) == 0:\n", - " frame = cv2.resize(image, (32, ran+32), interpolation = cv2.INTER_AREA)\n", - " return frame[int(ran/2):int(ran+32)-int(ran/2), 0:32]\n", - " else:\n", - " frame = cv2.resize(image, (ran+32, 32), interpolation = cv2.INTER_AREA)\n", - " return frame[0:32, int(ran/2):int(ran+32)-int(ran/2)]\n", - " \n", - "def pre_process(image, inv = False):\n", - " \"\"\"Uses OTSU binarization on an image\"\"\"\n", - " try:\n", - " gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n", - " except:\n", - " gray_image = image\n", - " pass\n", - " \n", - " if inv == False:\n", - " _, th2 = cv2.threshold(gray_image, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)\n", - " else:\n", - " _, th2 = cv2.threshold(gray_image, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)\n", - " resized = cv2.resize(th2, (32,32), interpolation = cv2.INTER_AREA)\n", - " return resized" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Testing our augmentation functions" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "cc1 = cv2.imread('creditcard_digits2.jpg', 0)\n", - "_, th2 = cv2.threshold(cc1, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)\n", - "cv2.imshow(\"cc1\", th2)\n", - "cv2.waitKey(0)\n", - "cv2.destroyAllWindows()\n", - "\n", - "# This is the coordinates of the region enclosing the first digit\n", - "# This is preset and was done manually based on this specific image\n", - "region = [(0, 0), (35, 48)]\n", - "\n", - "# Assigns values to each region for ease of interpretation\n", - "top_left_y = region[0][1]\n", - "bottom_right_y = region[1][1]\n", - "top_left_x = region[0][0]\n", - "bottom_right_x = region[1][0]\n", - "\n", - "for i in range(0,1): #We only look at the first digit in testing out augmentation functions\n", - " roi = cc1[top_left_y:bottom_right_y, top_left_x:bottom_right_x]\n", - " for j in range(0,10):\n", - " roi2 = DigitAugmentation(roi)\n", - " roi_otsu = pre_process(roi2, inv = False)\n", - " cv2.imshow(\"otsu\", roi_otsu)\n", - " cv2.waitKey(0)\n", - " \n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Creating our Training Data (1000 variations of each font type)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Augmenting Digit - 0\n", - "Augmenting Digit - 1\n", - "Augmenting Digit - 2\n", - "Augmenting Digit - 3\n", - "Augmenting Digit - 4\n", - "Augmenting Digit - 5\n", - "Augmenting Digit - 6\n", - "Augmenting Digit - 7\n", - "Augmenting Digit - 8\n", - "Augmenting Digit - 9\n" - ] - } - ], - "source": [ - "# Creating 2000 Images for each digit in creditcard_digits1 - TRAINING DATA\n", - "\n", - "# Load our first image\n", - "cc1 = cv2.imread('creditcard_digits1.jpg', 0)\n", - "\n", - "_, th2 = cv2.threshold(cc1, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)\n", - "cv2.imshow(\"cc1\", th2)\n", - "cv2.imshow(\"creditcard_digits1\", cc1)\n", - "cv2.waitKey(0)\n", - "cv2.destroyAllWindows()\n", - "\n", - "region = [(2, 19), (50, 72)]\n", - "\n", - "top_left_y = region[0][1]\n", - "bottom_right_y = region[1][1]\n", - "top_left_x = region[0][0]\n", - "bottom_right_x = region[1][0]\n", - "\n", - "for i in range(0,10): \n", - " # We jump the next digit each time we loop\n", - " if i > 0:\n", - " top_left_x = top_left_x + 59\n", - " bottom_right_x = bottom_right_x + 59\n", - "\n", - " roi = cc1[top_left_y:bottom_right_y, top_left_x:bottom_right_x]\n", - " print(\"Augmenting Digit - \", str(i))\n", - " # We create 200 versions of each image for our dataset\n", - " for j in range(0,2000):\n", - " roi2 = DigitAugmentation(roi)\n", - " roi_otsu = pre_process(roi2, inv = True)\n", - " cv2.imwrite(\"./credit_card/train/\"+str(i)+\"./_1_\"+str(j)+\".jpg\", roi_otsu)\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Creating 2000 Images for each digit in creditcard_digits2 - TRAINING DATA\n", - "\n", - "cc1 = cv2.imread('creditcard_digits2.jpg', 0)\n", - "_, th2 = cv2.threshold(cc1, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)\n", - "cv2.imshow(\"cc1\", th2)\n", - "cv2.waitKey(0)\n", - "cv2.destroyAllWindows()\n", - "\n", - "region = [(0, 0), (35, 48)]\n", - "\n", - "top_left_y = region[0][1]\n", - "bottom_right_y = region[1][1]\n", - "top_left_x = region[0][0]\n", - "bottom_right_x = region[1][0]\n", - "\n", - "for i in range(0,10): \n", - " if i > 0:\n", - " # We jump the next digit each time we loop\n", - " top_left_x = top_left_x + 35\n", - " bottom_right_x = bottom_right_x + 35\n", - "\n", - " roi = cc1[top_left_y:bottom_right_y, top_left_x:bottom_right_x]\n", - " print(\"Augmenting Digit - \", str(i))\n", - " # We create 200 versions of each image for our dataset\n", - " for j in range(0,2000):\n", - " roi2 = DigitAugmentation(roi)\n", - " roi_otsu = pre_process(roi2, inv = False)\n", - " cv2.imwrite(\"./credit_card/train/\"+str(i)+\"./_2_\"+str(j)+\".jpg\", roi_otsu)\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Augmenting Digit - 0\n", - "Augmenting Digit - 1\n", - "Augmenting Digit - 2\n", - "Augmenting Digit - 3\n", - "Augmenting Digit - 4\n", - "Augmenting Digit - 5\n", - "Augmenting Digit - 6\n", - "Augmenting Digit - 7\n", - "Augmenting Digit - 8\n", - "Augmenting Digit - 9\n" - ] - } - ], - "source": [ - "# Creating 200 Images for each digit in creditcard_digits1 - TEST DATA\n", - "\n", - "# Load our first image\n", - "cc1 = cv2.imread('creditcard_digits1.jpg', 0)\n", - "\n", - "_, th2 = cv2.threshold(cc1, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)\n", - "cv2.imshow(\"cc1\", th2)\n", - "cv2.imshow(\"creditcard_digits1\", cc1)\n", - "cv2.waitKey(0)\n", - "cv2.destroyAllWindows()\n", - "\n", - "region = [(2, 19), (50, 72)]\n", - "\n", - "top_left_y = region[0][1]\n", - "bottom_right_y = region[1][1]\n", - "top_left_x = region[0][0]\n", - "bottom_right_x = region[1][0]\n", - "\n", - "for i in range(0,10): \n", - " # We jump the next digit each time we loop\n", - " if i > 0:\n", - " top_left_x = top_left_x + 59\n", - " bottom_right_x = bottom_right_x + 59\n", - "\n", - " roi = cc1[top_left_y:bottom_right_y, top_left_x:bottom_right_x]\n", - " print(\"Augmenting Digit -\", str(i))\n", - " # We create 200 versions of each image for our dataset\n", - " for j in range(0,2000):\n", - " roi2 = DigitAugmentation(roi)\n", - " roi_otsu = pre_process(roi2, inv = True)\n", - " cv2.imwrite(\"./credit_card/test/\"+str(i)+\"./_1_\"+str(j)+\".jpg\", roi_otsu)\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Augmenting Digit - 0\n", - "Augmenting Digit - 1\n", - "Augmenting Digit - 2\n", - "Augmenting Digit - 3\n", - "Augmenting Digit - 4\n", - "Augmenting Digit - 5\n", - "Augmenting Digit - 6\n", - "Augmenting Digit - 7\n", - "Augmenting Digit - 8\n", - "Augmenting Digit - 9\n" - ] - } - ], - "source": [ - "# Creating 200 Images for each digit in creditcard_digits2 - TEST DATA\n", - "\n", - "cc1 = cv2.imread('creditcard_digits2.jpg', 0)\n", - "_, th2 = cv2.threshold(cc1, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)\n", - "cv2.imshow(\"cc1\", th2)\n", - "cv2.waitKey(0)\n", - "cv2.destroyAllWindows()\n", - "\n", - "region = [(0, 0), (35, 48)]\n", - "\n", - "top_left_y = region[0][1]\n", - "bottom_right_y = region[1][1]\n", - "top_left_x = region[0][0]\n", - "bottom_right_x = region[1][0]\n", - "\n", - "for i in range(0,10): \n", - " if i > 0:\n", - " # We jump the next digit each time we loop\n", - " top_left_x = top_left_x + 35\n", - " bottom_right_x = bottom_right_x + 35\n", - "\n", - " roi = cc1[top_left_y:bottom_right_y, top_left_x:bottom_right_x]\n", - " print(\"Augmenting Digit - \", str(i))\n", - " # We create 200 versions of each image for our dataset\n", - " for j in range(0,2000):\n", - " roi2 = DigitAugmentation(roi)\n", - " roi_otsu = pre_process(roi2, inv = False)\n", - " cv2.imwrite(\"./credit_card/test/\"+str(i)+\"./_2_\"+str(j)+\".jpg\", roi_otsu)\n", - " #cv2.imshow(\"otsu\", roi_otsu)\n", - " #print(\"-\")\n", - " #cv2.waitKey(0)\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 2. Creating our Classifier" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 20254 images belonging to 10 classes.\n", - "Found 40000 images belonging to 10 classes.\n" - ] - } - ], - "source": [ - "import os\n", - "import numpy as np\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D, ZeroPadding2D\n", - "from tensorflow.keras import optimizers\n", - "import tensorflow as tf\n", - "\n", - "input_shape = (32, 32, 3)\n", - "img_width = 32\n", - "img_height = 32\n", - "num_classes = 10\n", - "nb_train_samples = 10000\n", - "nb_validation_samples = 2000\n", - "batch_size = 16\n", - "epochs = 1\n", - "\n", - "train_data_dir = './credit_card/train'\n", - "validation_data_dir = './credit_card/test'\n", - "\n", - "# Creating our data generator for our test data\n", - "validation_datagen = ImageDataGenerator(\n", - " # used to rescale the pixel values from [0, 255] to [0, 1] interval\n", - " rescale = 1./255)\n", - "\n", - "# Creating our data generator for our training data\n", - "train_datagen = ImageDataGenerator(\n", - " rescale = 1./255, # normalize pixel values to [0,1]\n", - " rotation_range = 10, # randomly applies rotations\n", - " width_shift_range = 0.25, # randomly applies width shifting\n", - " height_shift_range = 0.25, # randomly applies height shifting\n", - " shear_range=0.5,\n", - " zoom_range=0.5,\n", - " horizontal_flip = False, # randonly flips the image\n", - " fill_mode = 'nearest') # uses the fill mode nearest to fill gaps created by the above\n", - "\n", - "# Specify criteria about our training data, such as the directory, image size, batch size and type \n", - "# automagically retrieve images and their classes for train and validation sets\n", - "train_generator = train_datagen.flow_from_directory(\n", - " train_data_dir,\n", - " target_size = (img_width, img_height),\n", - " batch_size = batch_size,\n", - " class_mode = 'categorical')\n", - "\n", - "validation_generator = validation_datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " target_size = (img_width, img_height),\n", - " batch_size = batch_size,\n", - " class_mode = 'categorical',\n", - " shuffle = False) " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Creating out Model based on the LeNet CNN Architecture" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential_1\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d_2 (Conv2D) (None, 32, 32, 20) 1520 \n", - "_________________________________________________________________\n", - "activation_4 (Activation) (None, 32, 32, 20) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_2 (MaxPooling2 (None, 16, 16, 20) 0 \n", - "_________________________________________________________________\n", - "conv2d_3 (Conv2D) (None, 16, 16, 50) 25050 \n", - "_________________________________________________________________\n", - "activation_5 (Activation) (None, 16, 16, 50) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_3 (MaxPooling2 (None, 8, 8, 50) 0 \n", - "_________________________________________________________________\n", - "flatten_1 (Flatten) (None, 3200) 0 \n", - "_________________________________________________________________\n", - "dense_2 (Dense) (None, 500) 1600500 \n", - "_________________________________________________________________\n", - "activation_6 (Activation) (None, 500) 0 \n", - "_________________________________________________________________\n", - "dense_3 (Dense) (None, 10) 5010 \n", - "_________________________________________________________________\n", - "activation_7 (Activation) (None, 10) 0 \n", - "=================================================================\n", - "Total params: 1,632,080\n", - "Trainable params: 1,632,080\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "# create model\n", - "model = Sequential()\n", - "\n", - "# 2 sets of CRP (Convolution, RELU, Pooling)\n", - "model.add(Conv2D(20, (5, 5),\n", - " padding = \"same\", \n", - " input_shape = input_shape))\n", - "model.add(Activation(\"relu\"))\n", - "model.add(MaxPooling2D(pool_size = (2, 2), strides = (2, 2)))\n", - "\n", - "model.add(Conv2D(50, (5, 5),\n", - " padding = \"same\"))\n", - "model.add(Activation(\"relu\"))\n", - "model.add(MaxPooling2D(pool_size = (2, 2), strides = (2, 2)))\n", - "\n", - "# Fully connected layers (w/ RELU)\n", - "model.add(Flatten())\n", - "model.add(Dense(500))\n", - "model.add(Activation(\"relu\"))\n", - "\n", - "# Softmax (for classification)\n", - "model.add(Dense(num_classes))\n", - "model.add(Activation(\"softmax\"))\n", - " \n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = tf.keras.optimizers.Adadelta(),\n", - " metrics = ['accuracy'])\n", - " \n", - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Training our Model" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "WARNING:tensorflow:sample_weight modes were coerced from\n", - " ...\n", - " to \n", - " ['...']\n", - "Train for 1250 steps, validate for 250 steps\n", - "1249/1250 [============================>.] - ETA: 0s - loss: 0.2923 - accuracy: 0.9020\n", - "Epoch 00001: val_loss improved from inf to 0.00030, saving model to creditcard.h5\n", - "1250/1250 [==============================] - 150s 120ms/step - loss: 0.2922 - accuracy: 0.9020 - val_loss: 3.0485e-04 - val_accuracy: 1.0000\n" - ] - } - ], - "source": [ - "from tensorflow.keras.optimizers import RMSprop\n", - "from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping\n", - " \n", - "checkpoint = ModelCheckpoint(\"creditcard.h5\",\n", - " monitor=\"val_loss\",\n", - " mode=\"min\",\n", - " save_best_only = True,\n", - " verbose=1)\n", - "\n", - "earlystop = EarlyStopping(monitor = 'val_loss', \n", - " min_delta = 0, \n", - " patience = 3,\n", - " verbose = 1,\n", - " restore_best_weights = True)\n", - "\n", - "# we put our call backs into a callback list\n", - "callbacks = [earlystop, checkpoint]\n", - "\n", - "# Note we use a very small learning rate \n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = RMSprop(lr = 0.001),\n", - " metrics = ['accuracy'])\n", - "\n", - "nb_train_samples = 20000\n", - "nb_validation_samples = 4000\n", - "epochs = 1\n", - "batch_size = 16\n", - "\n", - "history = model.fit_generator(\n", - " train_generator,\n", - " steps_per_epoch = nb_train_samples // batch_size,\n", - " epochs = epochs,\n", - " callbacks = callbacks,\n", - " validation_data = validation_generator,\n", - " validation_steps = nb_validation_samples // batch_size)\n", - "\n", - "model.save(\"creditcard.h5\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 3. Extract a Credit Card from the backgroud\n", - "#### NOTE:\n", - "You may need to install imutils \n", - "run *pip install imutils* in terminal and restart your kernal to install" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Collecting scikit-image\n", - " Downloading scikit_image-0.17.2-cp37-cp37m-win_amd64.whl (11.5 MB)\n", - "Requirement already satisfied, skipping upgrade: numpy>=1.15.1 in c:\\programdata\\anaconda3\\envs\\cv\\lib\\site-packages (from scikit-image) (1.16.5)\n", - "Requirement already satisfied, skipping upgrade: networkx>=2.0 in c:\\programdata\\anaconda3\\envs\\cv\\lib\\site-packages (from scikit-image) (2.3)\n", - "Requirement already satisfied, skipping upgrade: pillow!=7.1.0,!=7.1.1,>=4.3.0 in c:\\programdata\\anaconda3\\envs\\cv\\lib\\site-packages (from scikit-image) (6.2.0)\n", - "Requirement already satisfied, skipping upgrade: scipy>=1.0.1 in c:\\programdata\\anaconda3\\envs\\cv\\lib\\site-packages (from scikit-image) (1.4.1)\n", - 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"Requirement already satisfied, skipping upgrade: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\\programdata\\anaconda3\\envs\\cv\\lib\\site-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image) (2.4.2)\n", - "Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in c:\\programdata\\anaconda3\\envs\\cv\\lib\\site-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image) (2.8.0)\n", - "Requirement already satisfied, skipping upgrade: six in c:\\programdata\\anaconda3\\envs\\cv\\lib\\site-packages (from cycler>=0.10->matplotlib!=3.0.0,>=2.0.0->scikit-image) (1.12.0)\n", - "Requirement already satisfied, skipping upgrade: setuptools in c:\\programdata\\anaconda3\\envs\\cv\\lib\\site-packages (from kiwisolver>=1.0.1->matplotlib!=3.0.0,>=2.0.0->scikit-image) (41.4.0)\n", - "Installing collected packages: tifffile, PyWavelets, scikit-image\n", - " Attempting uninstall: PyWavelets\n", - " Found existing installation: PyWavelets 1.0.3\n", - " Uninstalling PyWavelets-1.0.3:\n", - " Successfully uninstalled PyWavelets-1.0.3\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError(': Failed to establish a new connection: [Errno 11001] getaddrinfo failed')': /packages/6e/c7/6411a4ce983bf06db8c3b8093b04b268c2580816f61156a5848e24e97118/scikit_image-0.17.2-cp37-cp37m-win_amd64.whl\n", - "ERROR: keras-vis 0.4.1 requires keras, which is not installed.\n", - "ERROR: Could not install packages due to an EnvironmentError: [WinError 5] Access is denied: 'c:\\\\programdata\\\\anaconda3\\\\envs\\\\cv\\\\lib\\\\site-packages\\\\~ywt\\\\_extensions\\\\_cwt.cp37-win_amd64.pyd'\n", - "Consider using the `--user` option or check the permissions.\n", - "\n" - ] - } - ], - "source": [ - "!pip install -U scikit-image" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "ename": "ImportError", - "evalue": "cannot import name 'filter' from 'skimage' (C:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\skimage\\__init__.py)", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mimutils\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;31m#from skimage.filters import threshold_adaptive\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 5\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mskimage\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mfilter\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 6\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mImportError\u001b[0m: cannot import name 'filter' from 'skimage' (C:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\skimage\\__init__.py)" - ] - } - ], - "source": [ - "import cv2\n", - "import numpy as np\n", - "import imutils\n", - "#from skimage.filters import threshold_adaptive\n", - "from skimage import filter\n", - "import os\n", - "\n", - "def order_points(pts):\n", - " # initialzie a list of coordinates that will be ordered\n", - " # such that the first entry in the list is the top-left,\n", - " # the second entry is the top-right, the third is the\n", - " # bottom-right, and the fourth is the bottom-left\n", - " rect = np.zeros((4, 2), dtype = \"float32\")\n", - "\n", - " # the top-left point will have the smallest sum, whereas\n", - " # the bottom-right point will have the largest sum\n", - " s = pts.sum(axis = 1)\n", - " rect[0] = pts[np.argmin(s)]\n", - " rect[2] = pts[np.argmax(s)]\n", - "\n", - " # now, compute the difference between the points, the\n", - " # top-right point will have the smallest difference,\n", - " # whereas the bottom-left will have the largest difference\n", - " diff = np.diff(pts, axis = 1)\n", - " rect[1] = pts[np.argmin(diff)]\n", - " rect[3] = pts[np.argmax(diff)]\n", - "\n", - " # return the ordered coordinates\n", - " return rect\n", - "\n", - "def four_point_transform(image, pts):\n", - " # obtain a consistent order of the points and unpack them\n", - " # individually\n", - " rect = order_points(pts)\n", - " (tl, tr, br, bl) = rect\n", - "\n", - " # compute the width of the new image, which will be the\n", - " # maximum distance between bottom-right and bottom-left\n", - " # x-coordiates or the top-right and top-left x-coordinates\n", - " widthA = np.sqrt(((br[0] - bl[0]) ** 2) + ((br[1] - bl[1]) ** 2))\n", - " widthB = np.sqrt(((tr[0] - tl[0]) ** 2) + ((tr[1] - tl[1]) ** 2))\n", - " maxWidth = max(int(widthA), int(widthB))\n", - "\n", - " # compute the height of the new image, which will be the\n", - " # maximum distance between the top-right and bottom-right\n", - " # y-coordinates or the top-left and bottom-left y-coordinates\n", - " heightA = np.sqrt(((tr[0] - br[0]) ** 2) + ((tr[1] - br[1]) ** 2))\n", - " heightB = np.sqrt(((tl[0] - bl[0]) ** 2) + ((tl[1] - bl[1]) ** 2))\n", - " maxHeight = max(int(heightA), int(heightB))\n", - "\n", - " # now that we have the dimensions of the new image, construct\n", - " # the set of destination points to obtain a \"birds eye view\",\n", - " # (i.e. top-down view) of the image, again specifying points\n", - " # in the top-left, top-right, bottom-right, and bottom-left\n", - " # order\n", - " dst = np.array([\n", - " [0, 0],\n", - " [maxWidth - 1, 0],\n", - " [maxWidth - 1, maxHeight - 1],\n", - " [0, maxHeight - 1]], dtype = \"float32\")\n", - "\n", - " # compute the perspective transform matrix and then apply it\n", - " M = cv2.getPerspectiveTransform(rect, dst)\n", - " warped = cv2.warpPerspective(image, M, (maxWidth, maxHeight))\n", - "\n", - " # return the warped image\n", - " return warped\n", - "\n", - "def doc_Scan(image):\n", - " orig_height, orig_width = image.shape[:2]\n", - " ratio = image.shape[0] / 500.0\n", - "\n", - " orig = image.copy()\n", - " image = imutils.resize(image, height = 500)\n", - " orig_height, orig_width = image.shape[:2]\n", - " Original_Area = orig_height * orig_width\n", - " \n", - " # convert the image to grayscale, blur it, and find edges\n", - " # in the image\n", - " gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n", - " gray = cv2.GaussianBlur(gray, (5, 5), 0)\n", - " edged = cv2.Canny(gray, 75, 200)\n", - "\n", - " cv2.imshow(\"Image\", image)\n", - " cv2.imshow(\"Edged\", edged)\n", - " cv2.waitKey(0)\n", - " # show the original image and the edge detected image\n", - "\n", - " # find the contours in the edged image, keeping only the\n", - " # largest ones, and initialize the screen contour\n", - " _, contours, hierarchy = cv2.findContours(edged.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)\n", - " contours = sorted(contours, key = cv2.contourArea, reverse = True)[:5]\n", - " \n", - " # loop over the contours\n", - " for c in contours:\n", - "\n", - " # approximate the contour\n", - " area = cv2.contourArea(c)\n", - " if area < (Original_Area/3):\n", - " print(\"Error Image Invalid\")\n", - " return(\"ERROR\")\n", - " peri = cv2.arcLength(c, True)\n", - " approx = cv2.approxPolyDP(c, 0.02 * peri, True)\n", - "\n", - " # if our approximated contour has four points, then we\n", - " # can assume that we have found our screen\n", - " if len(approx) == 4:\n", - " screenCnt = approx\n", - " break\n", - "\n", - " # show the contour (outline) of the piece of paper\n", - " cv2.drawContours(image, [screenCnt], -1, (0, 255, 0), 2)\n", - " cv2.imshow(\"Outline\", image)\n", - "\n", - " warped = four_point_transform(orig, screenCnt.reshape(4, 2) * ratio)\n", - " # convert the warped image to grayscale, then threshold it\n", - " # to give it that 'black and white' paper effect\n", - " cv2.resize(warped, (640,403), interpolation = cv2.INTER_AREA)\n", - " cv2.imwrite(\"credit_card_color.jpg\", warped)\n", - " warped = cv2.cvtColor(warped, cv2.COLOR_BGR2GRAY)\n", - " warped = warped.astype(\"uint8\") * 255\n", - " cv2.imshow(\"Extracted Credit Card\", warped)\n", - " cv2.waitKey(0)\n", - " cv2.destroyAllWindows()\n", - " return warped" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Extract our Credit Card and the Region of Interest (ROI)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "image = cv2.imread('test_card.jpg')\n", - "image = doc_Scan(image)\n", - "\n", - "region = [(55, 210), (640, 290)]\n", - "\n", - "top_left_y = region[0][1]\n", - "bottom_right_y = region[1][1]\n", - "top_left_x = region[0][0]\n", - "bottom_right_x = region[1][0]\n", - "\n", - "# Extracting the area were the credit numbers are located\n", - "roi = image[top_left_y:bottom_right_y, top_left_x:bottom_right_x]\n", - "cv2.imshow(\"Region\", roi)\n", - "cv2.imwrite(\"credit_card_extracted_digits.jpg\", roi)\n", - "cv2.waitKey(0)\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Loading our trained model" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using TensorFlow backend.\n" - ] - } - ], - "source": [ - "from tensorflow.keras.models import load_model\n", - "import keras\n", - "\n", - "classifier = load_model('creditcard.h5')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Let's test on our extracted image" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "5\n", - "3\n", - "5\n", - "5\n", - "2\n", - "2\n", - "0\n", - "3\n", - "2\n", - "3\n", - "9\n", - "0\n" - ] - } - ], - "source": [ - "def x_cord_contour(contours):\n", - " #Returns the X cordinate for the contour centroid\n", - " if cv2.contourArea(contours) > 10:\n", - " M = cv2.moments(contours)\n", - " return (int(M['m10']/M['m00']))\n", - " else:\n", - " pass\n", - "\n", - "img = cv2.imread('credit_card_extracted_digits.jpg')\n", - "orig_img = cv2.imread('credit_card_color.jpg')\n", - "gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)\n", - "cv2.imshow(\"image\", img)\n", - "cv2.waitKey(0)\n", - "\n", - "# Blur image then find edges using Canny \n", - "blurred = cv2.GaussianBlur(gray, (5, 5), 0)\n", - "#cv2.imshow(\"blurred\", blurred)\n", - "#cv2.waitKey(0)\n", - "\n", - "edged = cv2.Canny(blurred, 30, 150)\n", - "#cv2.imshow(\"edged\", edged)\n", - "#cv2.waitKey(0)\n", - "\n", - "# Find Contours\n", - "_, contours, _ = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n", - "\n", - "#Sort out contours left to right by using their x cordinates\n", - "contours = sorted(contours, key=cv2.contourArea, reverse=True)[:13] #Change this to 16 to get all digits\n", - "contours = sorted(contours, key = x_cord_contour, reverse = False)\n", - "\n", - "# Create empty array to store entire number\n", - "full_number = []\n", - "\n", - "# loop over the contours\n", - "for c in contours:\n", - " # compute the bounding box for the rectangle\n", - " (x, y, w, h) = cv2.boundingRect(c) \n", - " if w >= 5 and h >= 25 and cv2.contourArea(c) < 1000:\n", - " roi = blurred[y:y + h, x:x + w]\n", - " #ret, roi = cv2.threshold(roi, 20, 255,cv2.THRESH_BINARY_INV)\n", - " cv2.imshow(\"ROI1\", roi)\n", - " roi_otsu = pre_process(roi, True)\n", - " cv2.imshow(\"ROI2\", roi_otsu)\n", - " roi_otsu = cv2.cvtColor(roi_otsu, cv2.COLOR_GRAY2RGB)\n", - " roi_otsu = keras.preprocessing.image.img_to_array(roi_otsu)\n", - " roi_otsu = roi_otsu * 1./255\n", - " roi_otsu = np.expand_dims(roi_otsu, axis=0)\n", - " image = np.vstack([roi_otsu])\n", - " label = str(classifier.predict_classes(image, batch_size = 10))[1]\n", - " print(label)\n", - " (x, y, w, h) = (x+region[0][0], y+region[0][1], w, h)\n", - " cv2.rectangle(orig_img, (x, y), (x + w, y + h), (0, 255, 0), 2)\n", - " cv2.putText(orig_img, label, (x , y + 90), cv2.FONT_HERSHEY_COMPLEX, 2, (0, 255, 0), 2)\n", - " cv2.imshow(\"image\", orig_img)\n", - " cv2.waitKey(0) \n", - " \n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:eece39cacf3b346d8b9ed53f038faa455b81f938093f52f89a68a592e5949f95 +size 40204 diff --git a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.1 - Handwritten Digit Classification Demo (MNIST)-checkpoint.ipynb b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.1 - Handwritten Digit Classification Demo (MNIST)-checkpoint.ipynb index 8a38a8d7b9488f64660c0c6ea726b9352f2b6a6b..0b69b1cfe5b337abc028fc09aab51902e0485337 100644 --- a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.1 - Handwritten Digit Classification Demo (MNIST)-checkpoint.ipynb +++ b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.1 - Handwritten Digit Classification Demo (MNIST)-checkpoint.ipynb @@ -1,327 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's load a Handwritten Digit classifier we'll be building very soon!" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "import cv2\n", - "import numpy as np\n", - "from keras.datasets import mnist\n", - "from keras.models import load_model\n", - "\n", - "classifier = load_model('/home/deeplearningcv/DeepLearningCV/Trained Models/mnist_simple_cnn.h5')\n", - "\n", - "# loads the MNIST dataset\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "def draw_test(name, pred, input_im):\n", - " BLACK = [0,0,0]\n", - " expanded_image = cv2.copyMakeBorder(input_im, 0, 0, 0, imageL.shape[0] ,cv2.BORDER_CONSTANT,value=BLACK)\n", - " expanded_image = cv2.cvtColor(expanded_image, cv2.COLOR_GRAY2BGR)\n", - " cv2.putText(expanded_image, str(pred), (152, 70) , cv2.FONT_HERSHEY_COMPLEX_SMALL,4, (0,255,0), 2)\n", - " cv2.imshow(name, expanded_image)\n", - "\n", - "for i in range(0,10):\n", - " rand = np.random.randint(0,len(x_test))\n", - " input_im = x_test[rand]\n", - "\n", - " imageL = cv2.resize(input_im, None, fx=4, fy=4, interpolation = cv2.INTER_CUBIC) \n", - " input_im = input_im.reshape(1,28,28,1) \n", - " \n", - " ## Get Prediction\n", - " res = str(classifier.predict_classes(input_im, 1, verbose = 0)[0])\n", - " draw_test(\"Prediction\", res, imageL) \n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "'<' not supported between instances of 'NoneType' and 'NoneType'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 22\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 23\u001b[0m \u001b[0;31m#Sort out contours left to right by using their x cordinates\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 24\u001b[0;31m \u001b[0mcontours\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msorted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcontours\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mx_cord_contour\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreverse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 25\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 26\u001b[0m \u001b[0;31m# Create empty array to store entire number\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mTypeError\u001b[0m: '<' not supported between instances of 'NoneType' and 'NoneType'" - ] - } - ], - "source": [ - "import numpy as np\n", - "import cv2\n", - "from preprocessors import x_cord_contour, makeSquare, resize_to_pixel\n", - "\n", - "image = cv2.imread('images/numbers.jpg')\n", - "gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)\n", - "cv2.imshow(\"image\", image)\n", - "cv2.imshow(\"gray\", gray)\n", - "cv2.waitKey(0)\n", - "\n", - "# Blur image then find edges using Canny \n", - "blurred = cv2.GaussianBlur(gray, (5, 5), 0)\n", - "cv2.imshow(\"blurred\", blurred)\n", - "cv2.waitKey(0)\n", - "\n", - "edged = cv2.Canny(blurred, 30, 150)\n", - "cv2.imshow(\"edged\", edged)\n", - "cv2.waitKey(0)\n", - "\n", - "# Fint Contours\n", - "_, contours, _ = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n", - "\n", - "#Sort out contours left to right by using their x cordinates\n", - "contours = sorted(contours, key = x_cord_contour, reverse = False)\n", - "\n", - "# Create empty array to store entire number\n", - "full_number = []\n", - "\n", - "# loop over the contours\n", - "for c in contours:\n", - " # compute the bounding box for the rectangle\n", - " (x, y, w, h) = cv2.boundingRect(c) \n", - " \n", - " #cv2.drawContours(image, contours, -1, (0,255,0), 3)\n", - " #cv2.imshow(\"Contours\", image)\n", - "\n", - " if w >= 5 and h >= 25:\n", - " roi = blurred[y:y + h, x:x + w]\n", - " ret, roi = cv2.threshold(roi, 127, 255,cv2.THRESH_BINARY_INV)\n", - " squared = makeSquare(roi)\n", - " final = resize_to_pixel(20, squared)\n", - " cv2.imshow(\"final\", final)\n", - " final_array = final.reshape((1,400))\n", - " final_array = final_array.astype(np.float32)\n", - " #ret, result, neighbours, dist = knn.find_nearest(final_array, k=1)\n", - " #number = str(int(float(result[0])))\n", - " #full_number.append(number)\n", - " # draw a rectangle around the digit, the show what the\n", - " # digit was classified as\n", - " #cv2.rectangle(image, (x, y), (x + w, y + h), (0, 0, 255), 2)\n", - " #cv2.putText(image, number, (x , y + 155),\n", - " # cv2.FONT_HERSHEY_COMPLEX, 2, (255, 0, 0), 2)\n", - " cv2.imshow(\"image\", image)\n", - " cv2.waitKey(0) \n", - " \n", - "cv2.destroyAllWindows()\n", - "print (\"The number is: \" + ''.join(full_number))" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using TensorFlow backend.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "x_train shape: (60000, 28, 28, 1)\n", - "60000 train samples\n", - "10000 test samples\n", - "Number of Classes: 10\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d_1 (Conv2D) (None, 26, 26, 32) 320 \n", - "_________________________________________________________________\n", - "conv2d_2 (Conv2D) (None, 24, 24, 64) 18496 \n", - "_________________________________________________________________\n", - "max_pooling2d_1 (MaxPooling2 (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "dropout_1 (Dropout) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "flatten_1 (Flatten) (None, 9216) 0 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 128) 1179776 \n", - "_________________________________________________________________\n", - "dropout_2 (Dropout) (None, 128) 0 \n", - "_________________________________________________________________\n", - "dense_2 (Dense) (None, 10) 1290 \n", - "=================================================================\n", - "Total params: 1,199,882\n", - "Trainable params: 1,199,882\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n", - "Train on 60000 samples, validate on 10000 samples\n", - "Epoch 1/5\n", - "60000/60000 [==============================] - 189s 3ms/step - loss: 0.2667 - acc: 0.9187 - val_loss: 0.0556 - val_acc: 0.9819\n", - "Epoch 2/5\n", - "60000/60000 [==============================] - 170s 3ms/step - loss: 0.0889 - acc: 0.9740 - val_loss: 0.0396 - val_acc: 0.9864\n", - "Epoch 3/5\n", - "60000/60000 [==============================] - 192s 3ms/step - loss: 0.0670 - acc: 0.9805 - val_loss: 0.0350 - val_acc: 0.9884\n", - "Epoch 4/5\n", - "60000/60000 [==============================] - 194s 3ms/step - loss: 0.0553 - acc: 0.9838 - val_loss: 0.0321 - val_acc: 0.9897\n", - "Epoch 5/5\n", - "60000/60000 [==============================] - 204s 3ms/step - loss: 0.0464 - acc: 0.9856 - val_loss: 0.0282 - val_acc: 0.9907\n", - "Test loss: 0.028205487172584982\n", - "Test accuracy: 0.9907\n" - ] - } - ], - "source": [ - "from keras.datasets import mnist\n", - "from keras.utils import np_utils\n", - "import keras\n", - "from keras.datasets import mnist\n", - "from keras.models import Sequential\n", - "from keras.layers import Dense, Dropout, Flatten\n", - "from keras.layers import Conv2D, MaxPooling2D\n", - "from keras import backend as K\n", - "\n", - "# Training Parameters\n", - "batch_size = 128\n", - "epochs = 5\n", - "\n", - "# loads the MNIST dataset\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "# Lets store the number of rows and columns\n", - "img_rows = x_train[0].shape[0]\n", - "img_cols = x_train[1].shape[0]\n", - "\n", - "# Getting our date in the right 'shape' needed for Keras\n", - "# We need to add a 4th dimenion to our date thereby changing our\n", - "# Our original image shape of (60000,28,28) to (60000,28,28,1)\n", - "x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n", - "x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n", - "\n", - "# store the shape of a single image \n", - "input_shape = (img_rows, img_cols, 1)\n", - "\n", - "# change our image type to float32 data type\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "\n", - "# Normalize our data by changing the range from (0 to 255) to (0 to 1)\n", - "x_train /= 255\n", - "x_test /= 255\n", - "\n", - "print('x_train shape:', x_train.shape)\n", - "print(x_train.shape[0], 'train samples')\n", - "print(x_test.shape[0], 'test samples')\n", - "\n", - "# Now we one hot encode outputs\n", - "y_train = np_utils.to_categorical(y_train)\n", - "y_test = np_utils.to_categorical(y_test)\n", - "\n", - "# Let's count the number columns in our hot encoded matrix \n", - "print (\"Number of Classes: \" + str(y_test.shape[1]))\n", - "\n", - "num_classes = y_test.shape[1]\n", - "num_pixels = x_train.shape[1] * x_train.shape[2]\n", - "\n", - "# create model\n", - "model = Sequential()\n", - "\n", - "model.add(Conv2D(32, kernel_size=(3, 3),\n", - " activation='relu',\n", - " input_shape=input_shape))\n", - "model.add(Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.25))\n", - "model.add(Flatten())\n", - "model.add(Dense(128, activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(num_classes, activation='softmax'))\n", - "\n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = keras.optimizers.Adadelta(),\n", - " metrics = ['accuracy'])\n", - "\n", - "print(model.summary())\n", - "\n", - "history = model.fit(x_train, y_train,\n", - " batch_size=batch_size,\n", - " epochs=epochs,\n", - " verbose=1,\n", - " validation_data=(x_test, y_test))\n", - "\n", - "score = model.evaluate(x_test, y_test, verbose=0)\n", - "print('Test loss:', score[0])\n", - "print('Test accuracy:', score[1])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.6" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:3e98445db8b33fc0875182c4519f938679b0dd2d523bc831e2f49178cc1716c7 +size 12870 diff --git a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.2 - Image Classifier - CIFAR10-checkpoint.ipynb b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.2 - Image Classifier - CIFAR10-checkpoint.ipynb index 2fd64429bf421126b7000c94ce0f6fd186fbd01f..667f756d4a47f30d1a5ec013860b026abec170eb 100644 --- a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.2 - Image Classifier - CIFAR10-checkpoint.ipynb +++ b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.2 - Image Classifier - CIFAR10-checkpoint.ipynb @@ -1,6 +1,3 @@ -{ - "cells": [], - "metadata": {}, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:188143f20ba64ead32853235735c589180056b6c7c47541744479767de696e37 +size 72 diff --git a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.3. Live Sketching-checkpoint.ipynb b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.3. Live Sketching-checkpoint.ipynb index b67f6215d4b4fe1d8204be005165f89c4fd6af6a..b7a6711285a64e15e39914936f5f86ba227100cd 100644 --- a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.3. Live Sketching-checkpoint.ipynb +++ b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/4.3. Live Sketching-checkpoint.ipynb @@ -1,101 +1,3 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using TensorFlow backend.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "3.4.3\n" - ] - } - ], - "source": [ - "import keras\n", - "import cv2\n", - "import numpy as np\n", - "import matplotlib\n", - "print (cv2.__version__)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "import cv2\n", - "import numpy as np\n", - "\n", - "# Our sketch generating function\n", - "def sketch(image):\n", - " # Convert image to grayscale\n", - " img_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n", - " \n", - " # Clean up image using Guassian Blur\n", - " img_gray_blur = cv2.GaussianBlur(img_gray, (5,5), 0)\n", - " \n", - " # Extract edges\n", - " canny_edges = cv2.Canny(img_gray_blur, 10, 70)\n", - " \n", - " # Do an invert binarize the image \n", - " ret, mask = cv2.threshold(canny_edges, 70, 255, cv2.THRESH_BINARY_INV)\n", - " return mask\n", - "\n", - "\n", - "# Initialize webcam, cap is the object provided by VideoCapture\n", - "# It contains a boolean indicating if it was sucessful (ret)\n", - "# It also contains the images collected from the webcam (frame)\n", - "cap = cv2.VideoCapture(0)\n", - "\n", - "while True:\n", - " ret, frame = cap.read()\n", - " cv2.imshow('Our Live Sketcher', sketch(frame))\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - " \n", - "# Release camera and close windows\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.6" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:7713010cc1e5df2a16e913547808690eb87efac3b2926f632cc6c0ee304e408f +size 2383 diff --git a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/Test - Imports Keras, OpenCV and tests webcam-checkpoint.ipynb b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/Test - Imports Keras, OpenCV and tests webcam-checkpoint.ipynb index 8cea29ac8198c23cbfebd67c051425f7bf691252..081465e257e0ea1634e51bcd3f68c0247277642a 100644 --- a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/Test - Imports Keras, OpenCV and tests webcam-checkpoint.ipynb +++ b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/.ipynb_checkpoints/Test - Imports Keras, OpenCV and tests webcam-checkpoint.ipynb @@ -1,73 +1,3 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "import cv2\n", - "import numpy as np\n", - "\n", - "# Our sketch generating function\n", - "def sketch(image):\n", - " # Convert image to grayscale\n", - " img_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n", - " \n", - " # Clean up image using Guassian Blur\n", - " img_gray_blur = cv2.GaussianBlur(img_gray, (5,5), 0)\n", - " \n", - " # Extract edges\n", - " canny_edges = cv2.Canny(img_gray_blur, 10, 70)\n", - " \n", - " # Do an invert binarize the image \n", - " ret, mask = cv2.threshold(canny_edges, 70, 255, cv2.THRESH_BINARY_INV)\n", - " return mask\n", - "\n", - "\n", - "# Initialize webcam, cap is the object provided by VideoCapture\n", - "# It contains a boolean indicating if it was sucessful (ret)\n", - "# It also contains the images collected from the webcam (frame)\n", - "cap = cv2.VideoCapture(0)\n", - "\n", - "while True:\n", - " ret, frame = cap.read()\n", - " cv2.imshow('Our Live Sketcher', sketch(frame))\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - " \n", - "# Release camera and close windows\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.6" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:49b0db58562700ccd3146af9fd7d72a4c2f10478596a2a99321db8d06ffe7bdf +size 1910 diff --git a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/4.1 - Handwritten Digit Classification Demo (MNIST).ipynb b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/4.1 - Handwritten Digit Classification Demo (MNIST).ipynb index 24f5ba903100cf0d5c5ab40eb3c57ba1087597d6..3547bb85421cb09dcd4c95233c737b5f940b048f 100644 --- a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/4.1 - Handwritten Digit Classification Demo (MNIST).ipynb +++ b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/4.1 - Handwritten Digit Classification Demo (MNIST).ipynb @@ -1,656 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's load a Handwritten Digit classifier we'll be building very soon!" - ] - }, - { - "cell_type": "code", - "metadata": { - "ExecuteTime": { - "end_time": "2025-03-13T16:02:55.674903Z", - "start_time": "2025-03-13T16:02:41.962641Z" - } - }, - "source": [ - "import cv2\n", - "import numpy as np\n", - "import tensorflow as tf\n", - "import tensorflow.keras\n", - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.models import load_model\n", - "\n" - ], - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-03-13 21:32:43.419874: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n", - "2025-03-13 21:32:43.428343: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n", - "2025-03-13 21:32:43.459714: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", - "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", - "E0000 00:00:1741881763.520586 24229 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", - "E0000 00:00:1741881763.535534 24229 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", - "2025-03-13 21:32:43.581360: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", - "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n" - ] - } - ], - "execution_count": 1 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-03-13T15:53:32.218716Z", - "start_time": "2025-03-13T15:53:31.940957Z" - } - }, - "cell_type": "code", - "source": "classifier = load_model('mnist_simple_cnn.h5' )", - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-03-13 21:23:31.971561: E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:152] failed call to cuInit: INTERNAL: CUDA error: Failed call to cuInit: UNKNOWN ERROR (303)\n", - "WARNING:absl:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n" - ] - } - ], - "execution_count": 2 - }, - { - "metadata": { - "jupyter": { - "is_executing": true - }, - "ExecuteTime": { - "start_time": "2025-03-13T15:53:54.412494Z" - } - }, - "cell_type": "code", - "source": [ - "print(classifier.summary())\n", - "# loads the MNIST dataset\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "def draw_test(name, pred, input_im):\n", - " BLACK = [0,0,0]\n", - " expanded_image = cv2.copyMakeBorder(input_im, 0, 0, 0, imageL.shape[0] ,cv2.BORDER_CONSTANT,value=BLACK)\n", - " expanded_image = cv2.cvtColor(expanded_image, cv2.COLOR_GRAY2BGR)\n", - " cv2.putText(expanded_image, str(pred), (152, 70) , cv2.FONT_HERSHEY_COMPLEX_SMALL,4, (0,255,0), 2)\n", - " cv2.imshow(name, expanded_image)\n", - "\n", - "for i in range(0,10):\n", - " rand = np.random.randint(0,len(x_test))\n", - " input_im = x_test[rand]\n", - "\n", - " imageL = cv2.resize(input_im, None, fx=4, fy=4, interpolation = cv2.INTER_CUBIC)\n", - " input_im = input_im.reshape(1,28,28,1)\n", - "\n", - " ## Get Prediction\n", - " res = str(classifier.predict(input_im, 1, verbose = 0)[0])\n", - " draw_test(\"Prediction\", res, imageL)\n", - " cv2.waitKey(0)\n", - "\n", - "\n", - "cv2.destroyAllWindows()\n" - ], - "outputs": [ - { - "data": { - "text/plain": [ - "\u001B[1mModel: \"sequential_3\"\u001B[0m\n" - ], - "text/html": [ - "
Model: \"sequential_3\"\n",
-       "
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
-       "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
-       "│ conv2d_2 (Conv2D)               │ (None, 26, 26, 32)     │           320 │\n",
-       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ conv2d_3 (Conv2D)               │ (None, 24, 24, 64)     │        18,496 │\n",
-       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ max_pooling2d_1 (MaxPooling2D)  │ (None, 12, 12, 64)     │             0 │\n",
-       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dropout_2 (Dropout)             │ (None, 12, 12, 64)     │             0 │\n",
-       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ flatten_1 (Flatten)             │ (None, 9216)           │             0 │\n",
-       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dense_2 (Dense)                 │ (None, 128)            │     1,179,776 │\n",
-       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dropout_3 (Dropout)             │ (None, 128)            │             0 │\n",
-       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dense_3 (Dense)                 │ (None, 10)             │         1,290 │\n",
-       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
-       "
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\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "None\n" - ] - } - ], - "execution_count": null - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-03-13T16:05:45.557030Z", - "start_time": "2025-03-13T16:05:45.541940Z" - } - }, - "cell_type": "code", - "source": "import numpy", - "outputs": [], - "execution_count": 2 - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Testing our classifier on a real image" - ] - }, - { - "cell_type": "code", - "metadata": { - "jupyter": { - "is_executing": true - }, - "ExecuteTime": { - "start_time": "2025-03-13T16:05:47.832541Z" - } - }, - "source": [ - "import numpy as np\n", - "import cv2\n", - "from preprocessors import x_cord_contour, makeSquare, resize_to_pixel\n", - " \n", - "image = cv2.imread('images/numbers.jpg')\n", - "gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)\n", - "cv2.imshow(\"image\", image)\n", - "cv2.waitKey(0)\n", - "\n", - "# Blur image then find edges using Canny \n", - "blurred = cv2.GaussianBlur(gray, (5, 5), 0)\n", - "#cv2.imshow(\"blurred\", blurred)\n", - "#cv2.waitKey(0)\n", - "\n", - "edged = cv2.Canny(blurred, 30, 150)\n", - "#cv2.imshow(\"edged\", edged)\n", - "#cv2.waitKey(0)\n", - "\n", - "# Find Contours\n", - "contours, _ = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n", - "\n", - "#Sort out contours left to right by using their x cordinates\n", - "contours = sorted(contours, key = x_cord_contour, reverse = False)\n", - "\n", - "# Create empty array to store entire number\n", - "full_number = []\n", - "\n", - "# loop over the contours\n", - "for c in contours:\n", - " # compute the bounding box for the rectangle\n", - " (x, y, w, h) = cv2.boundingRect(c) \n", - "\n", - " if w >= 5 and h >= 25:\n", - " roi = blurred[y:y + h, x:x + w]\n", - " ret, roi = cv2.threshold(roi, 127, 255,cv2.THRESH_BINARY_INV)\n", - " roi = makeSquare(roi)\n", - " roi = resize_to_pixel(28, roi)\n", - " cv2.imshow(\"ROI\", roi)\n", - " roi = roi / 255.0 \n", - " roi = roi.reshape(1,28,28,1) \n", - "\n", - " ## Get Prediction\n", - " res = str(classifier.predict_classes(roi, 1, verbose = 0)[0])\n", - " full_number.append(res)\n", - " cv2.rectangle(image, (x, y), (x + w, y + h), (0, 0, 255), 2)\n", - " cv2.putText(image, res, (x , y + 155), cv2.FONT_HERSHEY_COMPLEX, 2, (255, 0, 0), 2)\n", - " cv2.imshow(\"image\", image)\n", - " cv2.waitKey(0) \n", - " \n", - "cv2.destroyAllWindows()\n", - "print (\"The number is: \" + ''.join(full_number))" - ], - "outputs": [], - "execution_count": null - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Training this Model" - ] - }, - { - "cell_type": "code", - "metadata": { - "ExecuteTime": { - "end_time": "2025-03-13T13:12:31.511869Z", - "start_time": "2025-03-13T12:29:08.572403Z" - } - }, - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.utils import to_categorical\n", - "from tensorflow.keras.optimizers import Adadelta\n", - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Flatten\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D ,Input\n", - "from tensorflow.keras import backend as K\n", - "\n", - "# Training Parameters\n", - "batch_size = 128\n", - "epochs = 20\n", - "\n", - "# loads the MNIST dataset\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "# Lets store the number of rows and columns\n", - "img_rows = x_train[0].shape[0]\n", - "img_cols = x_train[1].shape[0]\n", - "\n", - "# Getting our date in the right 'shape' needed for Keras\n", - "# We need to add a 4th dimenion to our date thereby changing our\n", - "# Our original image shape of (60000,28,28) to (60000,28,28,1)\n", - "x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n", - "x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n", - "\n", - "# store the shape of a single image \n", - "input_shape = (img_rows, img_cols, 1)\n", - "\n", - "# change our image type to float32 data type\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "\n", - "# Normalize our data by changing the range from (0 to 255) to (0 to 1)\n", - "x_train /= 255\n", - "x_test /= 255\n", - "\n", - "print('x_train shape:', x_train.shape)\n", - "print(x_train.shape[0], 'train samples')\n", - "print(x_test.shape[0], 'test samples')\n", - "\n", - "# Now we one hot encode outputs\n", - "y_train = to_categorical(y_train)\n", - "y_test = to_categorical(y_test)\n", - "\n", - "# Let's count the number columns in our hot encoded matrix \n", - "print (\"Number of Classes: \" + str(y_test.shape[1]))\n", - "\n", - "num_classes = y_test.shape[1]\n", - "num_pixels = x_train.shape[1] * x_train.shape[2]\n", - "\n", - "# create model\n", - "model = Sequential()\n", - "\n", - "model.add(Input(shape=(28,28,1)))\n", - "model.add(Conv2D(32, kernel_size=(3, 3),\n", - " activation='relu',\n", - " input_shape=input_shape))\n", - "model.add(Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.25))\n", - "model.add(Flatten())\n", - "model.add(Dense(128, activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(num_classes, activation='softmax'))\n", - "\n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = Adadelta(),\n", - " metrics = ['accuracy'])\n", - "\n", - "print(model.summary())\n", - "\n", - "history = model.fit(x_train, y_train,\n", - " batch_size=batch_size,\n", - " epochs=epochs,\n", - " verbose=1,\n", - " validation_data=(x_test, y_test))\n", - "\n", - "score = model.evaluate(x_test, y_test, verbose=0)\n", - "print('Test loss:', score[0])\n", - "print('Test accuracy:', score[1])" - ], - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "x_train shape: (60000, 28, 28, 1)\n", - "60000 train samples\n", - "10000 test samples\n", - "Number of Classes: 10\n" - ] - }, - { - "data": { - "text/plain": [ - "\u001B[1mModel: \"sequential_3\"\u001B[0m\n" - ], - "text/html": [ - "
Model: \"sequential_3\"\n",
-       "
\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n", - "┃\u001B[1m \u001B[0m\u001B[1mLayer (type) \u001B[0m\u001B[1m \u001B[0m┃\u001B[1m \u001B[0m\u001B[1mOutput Shape \u001B[0m\u001B[1m \u001B[0m┃\u001B[1m \u001B[0m\u001B[1m Param #\u001B[0m\u001B[1m \u001B[0m┃\n", - "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n", - "│ conv2d_2 (\u001B[38;5;33mConv2D\u001B[0m) │ (\u001B[38;5;45mNone\u001B[0m, \u001B[38;5;34m26\u001B[0m, \u001B[38;5;34m26\u001B[0m, \u001B[38;5;34m32\u001B[0m) │ \u001B[38;5;34m320\u001B[0m │\n", - "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", - "│ conv2d_3 (\u001B[38;5;33mConv2D\u001B[0m) │ (\u001B[38;5;45mNone\u001B[0m, \u001B[38;5;34m24\u001B[0m, \u001B[38;5;34m24\u001B[0m, \u001B[38;5;34m64\u001B[0m) │ \u001B[38;5;34m18,496\u001B[0m │\n", - "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", - "│ max_pooling2d_1 (\u001B[38;5;33mMaxPooling2D\u001B[0m) │ (\u001B[38;5;45mNone\u001B[0m, \u001B[38;5;34m12\u001B[0m, \u001B[38;5;34m12\u001B[0m, \u001B[38;5;34m64\u001B[0m) │ \u001B[38;5;34m0\u001B[0m │\n", - "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", - "│ dropout_2 (\u001B[38;5;33mDropout\u001B[0m) │ (\u001B[38;5;45mNone\u001B[0m, \u001B[38;5;34m12\u001B[0m, \u001B[38;5;34m12\u001B[0m, \u001B[38;5;34m64\u001B[0m) │ \u001B[38;5;34m0\u001B[0m │\n", - "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", - "│ flatten_1 (\u001B[38;5;33mFlatten\u001B[0m) │ (\u001B[38;5;45mNone\u001B[0m, \u001B[38;5;34m9216\u001B[0m) │ \u001B[38;5;34m0\u001B[0m │\n", - "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", - "│ dense_2 (\u001B[38;5;33mDense\u001B[0m) │ (\u001B[38;5;45mNone\u001B[0m, \u001B[38;5;34m128\u001B[0m) │ \u001B[38;5;34m1,179,776\u001B[0m │\n", - "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", - "│ dropout_3 (\u001B[38;5;33mDropout\u001B[0m) │ (\u001B[38;5;45mNone\u001B[0m, \u001B[38;5;34m128\u001B[0m) │ \u001B[38;5;34m0\u001B[0m │\n", - "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", - "│ dense_3 (\u001B[38;5;33mDense\u001B[0m) │ (\u001B[38;5;45mNone\u001B[0m, \u001B[38;5;34m10\u001B[0m) │ \u001B[38;5;34m1,290\u001B[0m │\n", - "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" - ], - "text/html": [ - "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
-       "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
-       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
-       "│ conv2d_2 (Conv2D)               │ (None, 26, 26, 32)     │           320 │\n",
-       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ conv2d_3 (Conv2D)               │ (None, 24, 24, 64)     │        18,496 │\n",
-       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ max_pooling2d_1 (MaxPooling2D)  │ (None, 12, 12, 64)     │             0 │\n",
-       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dropout_2 (Dropout)             │ (None, 12, 12, 64)     │             0 │\n",
-       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ flatten_1 (Flatten)             │ (None, 9216)           │             0 │\n",
-       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dense_2 (Dense)                 │ (None, 128)            │     1,179,776 │\n",
-       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dropout_3 (Dropout)             │ (None, 128)            │             0 │\n",
-       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dense_3 (Dense)                 │ (None, 10)             │         1,290 │\n",
-       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
-       "
\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "\u001B[1m Total params: \u001B[0m\u001B[38;5;34m1,199,882\u001B[0m (4.58 MB)\n" - ], - "text/html": [ - "
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\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "None\n", - "Epoch 1/20\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-03-13 17:59:09.869544: W external/local_xla/xla/tsl/framework/cpu_allocator_impl.cc:83] Allocation of 188160000 exceeds 10% of free system memory.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m110s\u001B[0m 229ms/step - accuracy: 0.1052 - loss: 2.3000 - val_accuracy: 0.2693 - val_loss: 2.2488\n", - "Epoch 2/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m162s\u001B[0m 271ms/step - accuracy: 0.2265 - loss: 2.2399 - val_accuracy: 0.4505 - val_loss: 2.1755\n", - "Epoch 3/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m101s\u001B[0m 215ms/step - accuracy: 0.3401 - loss: 2.1674 - val_accuracy: 0.5460 - val_loss: 2.0756\n", - "Epoch 4/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m98s\u001B[0m 208ms/step - accuracy: 0.4168 - loss: 2.0707 - val_accuracy: 0.6309 - val_loss: 1.9400\n", - "Epoch 5/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m101s\u001B[0m 216ms/step - accuracy: 0.4859 - loss: 1.9388 - val_accuracy: 0.7004 - val_loss: 1.7650\n", - "Epoch 6/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m148s\u001B[0m 228ms/step - accuracy: 0.5514 - loss: 1.7740 - val_accuracy: 0.7517 - val_loss: 1.5543\n", - "Epoch 7/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m106s\u001B[0m 225ms/step - accuracy: 0.5989 - loss: 1.5901 - val_accuracy: 0.7860 - val_loss: 1.3342\n", - "Epoch 8/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m141s\u001B[0m 224ms/step - accuracy: 0.6395 - loss: 1.4047 - val_accuracy: 0.8053 - val_loss: 1.1347\n", - "Epoch 9/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m106s\u001B[0m 226ms/step - accuracy: 0.6621 - loss: 1.2518 - val_accuracy: 0.8213 - val_loss: 0.9769\n", - "Epoch 10/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m118s\u001B[0m 252ms/step - accuracy: 0.6848 - loss: 1.1299 - val_accuracy: 0.8310 - val_loss: 0.8569\n", - "Epoch 11/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m140s\u001B[0m 298ms/step - accuracy: 0.7070 - loss: 1.0295 - val_accuracy: 0.8393 - val_loss: 0.7659\n", - "Epoch 12/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m139s\u001B[0m 297ms/step - accuracy: 0.7191 - loss: 0.9594 - val_accuracy: 0.8467 - val_loss: 0.6961\n", - "Epoch 13/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m139s\u001B[0m 297ms/step - accuracy: 0.7353 - loss: 0.8954 - val_accuracy: 0.8541 - val_loss: 0.6418\n", - "Epoch 14/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m141s\u001B[0m 301ms/step - accuracy: 0.7501 - loss: 0.8407 - val_accuracy: 0.8598 - val_loss: 0.5981\n", - "Epoch 15/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m145s\u001B[0m 309ms/step - accuracy: 0.7608 - loss: 0.8010 - val_accuracy: 0.8637 - val_loss: 0.5631\n", - "Epoch 16/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m140s\u001B[0m 299ms/step - accuracy: 0.7708 - loss: 0.7630 - val_accuracy: 0.8675 - val_loss: 0.5345\n", - "Epoch 17/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m140s\u001B[0m 294ms/step - accuracy: 0.7818 - loss: 0.7294 - val_accuracy: 0.8720 - val_loss: 0.5091\n", - "Epoch 18/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m136s\u001B[0m 290ms/step - accuracy: 0.7874 - loss: 0.7058 - val_accuracy: 0.8745 - val_loss: 0.4890\n", - "Epoch 19/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m141s\u001B[0m 301ms/step - accuracy: 0.7911 - loss: 0.6918 - val_accuracy: 0.8777 - val_loss: 0.4711\n", - "Epoch 20/20\n", - "\u001B[1m469/469\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m144s\u001B[0m 306ms/step - accuracy: 0.7922 - loss: 0.6763 - val_accuracy: 0.8803 - val_loss: 0.4562\n", - "Test loss: 0.4561978578567505\n", - "Test accuracy: 0.880299985408783\n" - ] - } - ], - "execution_count": 19 - }, - { - "metadata": {}, - "cell_type": "code", - "outputs": [], - "execution_count": null, - "source": "" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-03-13T13:19:19.771353Z", - "start_time": "2025-03-13T13:19:19.412004Z" - } - }, - "cell_type": "code", - "source": "model.save(\"mnist_simple_cnn.h5\")", - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n" - ] - } - ], - "execution_count": 20 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-03-13T13:20:22.752001Z", - "start_time": "2025-03-13T13:20:14.810410Z" - } - }, - "cell_type": "code", - "source": "score = model.evaluate(x_test, y_test, verbose=0)\n", - "outputs": [], - "execution_count": 22 - }, - { - "metadata": {}, - "cell_type": "code", - "outputs": [], - "execution_count": null, - "source": "" - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.11" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:f61bd0884c6d046620894ba4f0fdc940664827f0332829a6cd740f8e6b602873 +size 44954 diff --git a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/4.2 - Image Classifier - CIFAR10.ipynb b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/4.2 - Image Classifier - CIFAR10.ipynb index 8e4b20658ec3c3bbadb7a0d1fd70598dad6e1b06..49ab501e4b8b5927931bbaf3e953156b4f110053 100644 --- a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/4.2 - Image Classifier - CIFAR10.ipynb +++ b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/4.2 - Image Classifier - CIFAR10.ipynb @@ -1,167 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's run a simple image classifier, using the CIFAR 10 dataset of 10 image categories\n", - "* CIFAR's 10 categories:\n", - " * airplane\n", - " * automobile\n", - " * bird\n", - " * cat\n", - " * deer\n", - " * dog\n", - " * frog\n", - " * horse\n", - " * ship\n", - " * truck" - ] - }, - { - "cell_type": "code", - "metadata": { - "ExecuteTime": { - "end_time": "2025-03-13T16:11:52.999533Z", - "start_time": "2025-03-13T16:11:47.171043Z" - } - }, - "source": [ - "import cv2\n", - "import numpy as np\n", - "from tensorflow.keras.models import load_model\n", - "from tensorflow.keras.datasets import cifar10 \n", - "\n", - "img_row, img_height, img_depth = 32,32,3\n", - "\n", - "classifier = load_model('cifar_simple_cnn.h5')\n", - "\n", - "# Loads the CIFAR dataset\n", - "(x_train, y_train), (x_test, y_test) = cifar10.load_data()\n", - "color = True \n", - "scale = 8\n", - "\n", - "def draw_test(name, res, input_im, scale, img_row, img_height):\n", - " BLACK = [0,0,0]\n", - " res = int(res)\n", - " if res == 0:\n", - " pred = \"airplane\"\n", - " if res == 1:\n", - " pred = \"automobile\"\n", - " if res == 2:\n", - " pred = \"bird\"\n", - " if res == 3:\n", - " pred = \"cat\"\n", - " if res == 4:\n", - " pred = \"deer\"\n", - " if res == 5:\n", - " pred = \"dog\"\n", - " if res == 6:\n", - " pred = \"frog\"\n", - " if res == 7:\n", - " pred = \"horse\"\n", - " if res == 8:\n", - " pred = \"ship\"\n", - " if res == 9:\n", - " pred = \"truck\"\n", - " \n", - " expanded_image = cv2.copyMakeBorder(input_im, 0, 0, 0, imageL.shape[0]*2 ,cv2.BORDER_CONSTANT,value=BLACK)\n", - " if color == False:\n", - " expanded_image = cv2.cvtColor(expanded_image, cv2.COLOR_GRAY2BGR)\n", - " cv2.putText(expanded_image, str(pred), (300, 80) , cv2.FONT_HERSHEY_COMPLEX_SMALL,4, (0,255,0), 2)\n", - " cv2.imshow(name, expanded_image)\n", - "\n", - "\n", - "for i in range(0,10):\n", - " rand = np.random.randint(0,len(x_test))\n", - " input_im = x_test[rand]\n", - " imageL = cv2.resize(input_im, None, fx=scale, fy=scale, interpolation = cv2.INTER_CUBIC) \n", - " input_im = input_im.reshape(1,img_row, img_height, img_depth) \n", - " \n", - " ## Get Prediction\n", - " res = str(classifier.predict_classes(input_im, 1, verbose = 0)[0])\n", - " \n", - " draw_test(\"Prediction\", res, imageL, scale, img_row, img_height) \n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows()" - ], - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2025-03-13 21:41:47.742478: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n", - "2025-03-13 21:41:47.746738: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n", - "2025-03-13 21:41:47.759288: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", - "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", - "E0000 00:00:1741882307.783990 24522 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", - "E0000 00:00:1741882307.790137 24522 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", - "2025-03-13 21:41:47.814207: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", - "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", - "/home/newton/miniconda3/envs/dl/lib/python3.12/site-packages/keras/src/layers/convolutional/base_conv.py:107: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n", - " super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n" - ] - }, - { - "ename": "ValueError", - "evalue": "Kernel shape must have the same length as input, but received kernel of shape (3, 3, 3, 32) and input of shape (None, None, 32, 32, 3).", - "output_type": "error", - "traceback": [ - "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", - "\u001B[0;31mValueError\u001B[0m Traceback (most recent call last)", - "Cell \u001B[0;32mIn[1], line 8\u001B[0m\n\u001B[1;32m 4\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01mtensorflow\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mkeras\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mdatasets\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m cifar10 \n\u001B[1;32m 6\u001B[0m img_row, img_height, img_depth \u001B[38;5;241m=\u001B[39m \u001B[38;5;241m32\u001B[39m,\u001B[38;5;241m32\u001B[39m,\u001B[38;5;241m3\u001B[39m\n\u001B[0;32m----> 8\u001B[0m classifier \u001B[38;5;241m=\u001B[39m load_model(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mcifar_simple_cnn.h5\u001B[39m\u001B[38;5;124m'\u001B[39m)\n\u001B[1;32m 10\u001B[0m \u001B[38;5;66;03m# Loads the CIFAR dataset\u001B[39;00m\n\u001B[1;32m 11\u001B[0m (x_train, y_train), (x_test, y_test) \u001B[38;5;241m=\u001B[39m cifar10\u001B[38;5;241m.\u001B[39mload_data()\n", - "File \u001B[0;32m~/miniconda3/envs/dl/lib/python3.12/site-packages/keras/src/saving/saving_api.py:196\u001B[0m, in \u001B[0;36mload_model\u001B[0;34m(filepath, custom_objects, compile, safe_mode)\u001B[0m\n\u001B[1;32m 189\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m saving_lib\u001B[38;5;241m.\u001B[39mload_model(\n\u001B[1;32m 190\u001B[0m filepath,\n\u001B[1;32m 191\u001B[0m custom_objects\u001B[38;5;241m=\u001B[39mcustom_objects,\n\u001B[1;32m 192\u001B[0m \u001B[38;5;28mcompile\u001B[39m\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mcompile\u001B[39m,\n\u001B[1;32m 193\u001B[0m safe_mode\u001B[38;5;241m=\u001B[39msafe_mode,\n\u001B[1;32m 194\u001B[0m )\n\u001B[1;32m 195\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mstr\u001B[39m(filepath)\u001B[38;5;241m.\u001B[39mendswith((\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m.h5\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m.hdf5\u001B[39m\u001B[38;5;124m\"\u001B[39m)):\n\u001B[0;32m--> 196\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m legacy_h5_format\u001B[38;5;241m.\u001B[39mload_model_from_hdf5(\n\u001B[1;32m 197\u001B[0m filepath, custom_objects\u001B[38;5;241m=\u001B[39mcustom_objects, \u001B[38;5;28mcompile\u001B[39m\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mcompile\u001B[39m\n\u001B[1;32m 198\u001B[0m )\n\u001B[1;32m 199\u001B[0m \u001B[38;5;28;01melif\u001B[39;00m \u001B[38;5;28mstr\u001B[39m(filepath)\u001B[38;5;241m.\u001B[39mendswith(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m.keras\u001B[39m\u001B[38;5;124m\"\u001B[39m):\n\u001B[1;32m 200\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\n\u001B[1;32m 201\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mFile not found: filepath=\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mfilepath\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m. \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 202\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mPlease ensure the file is an accessible `.keras` \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 203\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mzip file.\u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 204\u001B[0m )\n", - "File \u001B[0;32m~/miniconda3/envs/dl/lib/python3.12/site-packages/keras/src/legacy/saving/legacy_h5_format.py:133\u001B[0m, in \u001B[0;36mload_model_from_hdf5\u001B[0;34m(filepath, custom_objects, compile)\u001B[0m\n\u001B[1;32m 130\u001B[0m model_config \u001B[38;5;241m=\u001B[39m json_utils\u001B[38;5;241m.\u001B[39mdecode(model_config)\n\u001B[1;32m 132\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m saving_options\u001B[38;5;241m.\u001B[39mkeras_option_scope(use_legacy_config\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mTrue\u001B[39;00m):\n\u001B[0;32m--> 133\u001B[0m model \u001B[38;5;241m=\u001B[39m saving_utils\u001B[38;5;241m.\u001B[39mmodel_from_config(\n\u001B[1;32m 134\u001B[0m model_config, custom_objects\u001B[38;5;241m=\u001B[39mcustom_objects\n\u001B[1;32m 135\u001B[0m )\n\u001B[1;32m 137\u001B[0m \u001B[38;5;66;03m# set weights\u001B[39;00m\n\u001B[1;32m 138\u001B[0m load_weights_from_hdf5_group(f[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mmodel_weights\u001B[39m\u001B[38;5;124m\"\u001B[39m], model)\n", - "File \u001B[0;32m~/miniconda3/envs/dl/lib/python3.12/site-packages/keras/src/legacy/saving/saving_utils.py:85\u001B[0m, in \u001B[0;36mmodel_from_config\u001B[0;34m(config, custom_objects)\u001B[0m\n\u001B[1;32m 81\u001B[0m \u001B[38;5;66;03m# TODO(nkovela): Swap find and replace args during Keras 3.0 release\u001B[39;00m\n\u001B[1;32m 82\u001B[0m \u001B[38;5;66;03m# Replace keras refs with keras\u001B[39;00m\n\u001B[1;32m 83\u001B[0m config \u001B[38;5;241m=\u001B[39m _find_replace_nested_dict(config, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mkeras.\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mkeras.\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[0;32m---> 85\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m serialization\u001B[38;5;241m.\u001B[39mdeserialize_keras_object(\n\u001B[1;32m 86\u001B[0m config,\n\u001B[1;32m 87\u001B[0m module_objects\u001B[38;5;241m=\u001B[39mMODULE_OBJECTS\u001B[38;5;241m.\u001B[39mALL_OBJECTS,\n\u001B[1;32m 88\u001B[0m custom_objects\u001B[38;5;241m=\u001B[39mcustom_objects,\n\u001B[1;32m 89\u001B[0m printable_module_name\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mlayer\u001B[39m\u001B[38;5;124m\"\u001B[39m,\n\u001B[1;32m 90\u001B[0m )\n", - "File \u001B[0;32m~/miniconda3/envs/dl/lib/python3.12/site-packages/keras/src/legacy/saving/serialization.py:495\u001B[0m, in \u001B[0;36mdeserialize_keras_object\u001B[0;34m(identifier, module_objects, custom_objects, printable_module_name)\u001B[0m\n\u001B[1;32m 490\u001B[0m cls_config \u001B[38;5;241m=\u001B[39m _find_replace_nested_dict(\n\u001B[1;32m 491\u001B[0m cls_config, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mkeras.\u001B[39m\u001B[38;5;124m\"\u001B[39m, \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mkeras.\u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 492\u001B[0m )\n\u001B[1;32m 494\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mcustom_objects\u001B[39m\u001B[38;5;124m\"\u001B[39m \u001B[38;5;129;01min\u001B[39;00m arg_spec\u001B[38;5;241m.\u001B[39margs:\n\u001B[0;32m--> 495\u001B[0m deserialized_obj \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mcls\u001B[39m\u001B[38;5;241m.\u001B[39mfrom_config(\n\u001B[1;32m 496\u001B[0m cls_config,\n\u001B[1;32m 497\u001B[0m custom_objects\u001B[38;5;241m=\u001B[39m{\n\u001B[1;32m 498\u001B[0m \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mobject_registration\u001B[38;5;241m.\u001B[39mGLOBAL_CUSTOM_OBJECTS,\n\u001B[1;32m 499\u001B[0m \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mcustom_objects,\n\u001B[1;32m 500\u001B[0m },\n\u001B[1;32m 501\u001B[0m )\n\u001B[1;32m 502\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m 503\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m object_registration\u001B[38;5;241m.\u001B[39mCustomObjectScope(custom_objects):\n", - "File \u001B[0;32m~/miniconda3/envs/dl/lib/python3.12/site-packages/keras/src/models/sequential.py:359\u001B[0m, in \u001B[0;36mSequential.from_config\u001B[0;34m(cls, config, custom_objects)\u001B[0m\n\u001B[1;32m 354\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m 355\u001B[0m layer \u001B[38;5;241m=\u001B[39m serialization_lib\u001B[38;5;241m.\u001B[39mdeserialize_keras_object(\n\u001B[1;32m 356\u001B[0m layer_config,\n\u001B[1;32m 357\u001B[0m custom_objects\u001B[38;5;241m=\u001B[39mcustom_objects,\n\u001B[1;32m 358\u001B[0m )\n\u001B[0;32m--> 359\u001B[0m model\u001B[38;5;241m.\u001B[39madd(layer)\n\u001B[1;32m 360\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m (\n\u001B[1;32m 361\u001B[0m \u001B[38;5;129;01mnot\u001B[39;00m model\u001B[38;5;241m.\u001B[39m_functional\n\u001B[1;32m 362\u001B[0m \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mbuild_input_shape\u001B[39m\u001B[38;5;124m\"\u001B[39m \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mlocals\u001B[39m()\n\u001B[1;32m 363\u001B[0m \u001B[38;5;129;01mand\u001B[39;00m build_input_shape\n\u001B[1;32m 364\u001B[0m \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(build_input_shape, (\u001B[38;5;28mtuple\u001B[39m, \u001B[38;5;28mlist\u001B[39m))\n\u001B[1;32m 365\u001B[0m ):\n\u001B[1;32m 366\u001B[0m model\u001B[38;5;241m.\u001B[39mbuild(build_input_shape)\n", - "File \u001B[0;32m~/miniconda3/envs/dl/lib/python3.12/site-packages/keras/src/models/sequential.py:122\u001B[0m, in \u001B[0;36mSequential.add\u001B[0;34m(self, layer, rebuild)\u001B[0m\n\u001B[1;32m 120\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_layers\u001B[38;5;241m.\u001B[39mappend(layer)\n\u001B[1;32m 121\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m rebuild:\n\u001B[0;32m--> 122\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_maybe_rebuild()\n\u001B[1;32m 123\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m 124\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mbuilt \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mFalse\u001B[39;00m\n", - "File \u001B[0;32m~/miniconda3/envs/dl/lib/python3.12/site-packages/keras/src/models/sequential.py:141\u001B[0m, in \u001B[0;36mSequential._maybe_rebuild\u001B[0;34m(self)\u001B[0m\n\u001B[1;32m 139\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_layers[\u001B[38;5;241m0\u001B[39m], InputLayer) \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_layers) \u001B[38;5;241m>\u001B[39m \u001B[38;5;241m1\u001B[39m:\n\u001B[1;32m 140\u001B[0m input_shape \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_layers[\u001B[38;5;241m0\u001B[39m]\u001B[38;5;241m.\u001B[39mbatch_shape\n\u001B[0;32m--> 141\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mbuild(input_shape)\n\u001B[1;32m 142\u001B[0m \u001B[38;5;28;01melif\u001B[39;00m \u001B[38;5;28mhasattr\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_layers[\u001B[38;5;241m0\u001B[39m], \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124minput_shape\u001B[39m\u001B[38;5;124m\"\u001B[39m) \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_layers) \u001B[38;5;241m>\u001B[39m \u001B[38;5;241m1\u001B[39m:\n\u001B[1;32m 143\u001B[0m \u001B[38;5;66;03m# We can build the Sequential model if the first layer has the\u001B[39;00m\n\u001B[1;32m 144\u001B[0m \u001B[38;5;66;03m# `input_shape` property. This is most commonly found in Functional\u001B[39;00m\n\u001B[1;32m 145\u001B[0m \u001B[38;5;66;03m# model.\u001B[39;00m\n\u001B[1;32m 146\u001B[0m input_shape \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_layers[\u001B[38;5;241m0\u001B[39m]\u001B[38;5;241m.\u001B[39minput_shape\n", - "File \u001B[0;32m~/miniconda3/envs/dl/lib/python3.12/site-packages/keras/src/layers/layer.py:228\u001B[0m, in \u001B[0;36mLayer.__new__..build_wrapper\u001B[0;34m(*args, **kwargs)\u001B[0m\n\u001B[1;32m 226\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m obj\u001B[38;5;241m.\u001B[39m_open_name_scope():\n\u001B[1;32m 227\u001B[0m obj\u001B[38;5;241m.\u001B[39m_path \u001B[38;5;241m=\u001B[39m current_path()\n\u001B[0;32m--> 228\u001B[0m original_build_method(\u001B[38;5;241m*\u001B[39margs, \u001B[38;5;241m*\u001B[39m\u001B[38;5;241m*\u001B[39mkwargs)\n\u001B[1;32m 229\u001B[0m \u001B[38;5;66;03m# Record build config.\u001B[39;00m\n\u001B[1;32m 230\u001B[0m signature \u001B[38;5;241m=\u001B[39m inspect\u001B[38;5;241m.\u001B[39msignature(original_build_method)\n", - "File \u001B[0;32m~/miniconda3/envs/dl/lib/python3.12/site-packages/keras/src/models/sequential.py:187\u001B[0m, in \u001B[0;36mSequential.build\u001B[0;34m(self, input_shape)\u001B[0m\n\u001B[1;32m 185\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m layer \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_layers[\u001B[38;5;241m1\u001B[39m:]:\n\u001B[1;32m 186\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m--> 187\u001B[0m x \u001B[38;5;241m=\u001B[39m layer(x)\n\u001B[1;32m 188\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mNotImplementedError\u001B[39;00m:\n\u001B[1;32m 189\u001B[0m \u001B[38;5;66;03m# Can happen if shape inference is not implemented.\u001B[39;00m\n\u001B[1;32m 190\u001B[0m \u001B[38;5;66;03m# TODO: consider reverting inbound nodes on layers processed.\u001B[39;00m\n\u001B[1;32m 191\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m\n", - "File \u001B[0;32m~/miniconda3/envs/dl/lib/python3.12/site-packages/keras/src/utils/traceback_utils.py:122\u001B[0m, in \u001B[0;36mfilter_traceback..error_handler\u001B[0;34m(*args, **kwargs)\u001B[0m\n\u001B[1;32m 119\u001B[0m filtered_tb \u001B[38;5;241m=\u001B[39m _process_traceback_frames(e\u001B[38;5;241m.\u001B[39m__traceback__)\n\u001B[1;32m 120\u001B[0m \u001B[38;5;66;03m# To get the full stack trace, call:\u001B[39;00m\n\u001B[1;32m 121\u001B[0m \u001B[38;5;66;03m# `keras.config.disable_traceback_filtering()`\u001B[39;00m\n\u001B[0;32m--> 122\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m e\u001B[38;5;241m.\u001B[39mwith_traceback(filtered_tb) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[1;32m 123\u001B[0m \u001B[38;5;28;01mfinally\u001B[39;00m:\n\u001B[1;32m 124\u001B[0m \u001B[38;5;28;01mdel\u001B[39;00m filtered_tb\n", - "File \u001B[0;32m~/miniconda3/envs/dl/lib/python3.12/site-packages/keras/src/ops/operation_utils.py:184\u001B[0m, in \u001B[0;36mcompute_conv_output_shape\u001B[0;34m(input_shape, filters, kernel_size, strides, padding, data_format, dilation_rate)\u001B[0m\n\u001B[1;32m 182\u001B[0m kernel_shape \u001B[38;5;241m=\u001B[39m kernel_size \u001B[38;5;241m+\u001B[39m (input_shape[\u001B[38;5;241m1\u001B[39m], filters)\n\u001B[1;32m 183\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(kernel_shape) \u001B[38;5;241m!=\u001B[39m \u001B[38;5;28mlen\u001B[39m(input_shape):\n\u001B[0;32m--> 184\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mValueError\u001B[39;00m(\n\u001B[1;32m 185\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mKernel shape must have the same length as input, but received \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 186\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mkernel of shape \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mkernel_shape\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m and \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 187\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124minput of shape \u001B[39m\u001B[38;5;132;01m{\u001B[39;00minput_shape\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m.\u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[1;32m 188\u001B[0m )\n\u001B[1;32m 189\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(dilation_rate, \u001B[38;5;28mint\u001B[39m):\n\u001B[1;32m 190\u001B[0m dilation_rate \u001B[38;5;241m=\u001B[39m (dilation_rate,) \u001B[38;5;241m*\u001B[39m \u001B[38;5;28mlen\u001B[39m(spatial_shape)\n", - "\u001B[0;31mValueError\u001B[0m: Kernel shape must have the same length as input, but received kernel of shape (3, 3, 3, 32) and input of shape (None, None, 32, 32, 3)." - ] - } - ], - "execution_count": 1 - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:41e7ce99885479ae3cc66c615e4b0d505969ef050a8c31e59e2c23566340bb0f +size 22060 diff --git a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/4.3. Live Sketching.ipynb b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/4.3. Live Sketching.ipynb index 6c0e094fd73150384045b1c1d962155624cb27f6..7a296b12896dbbed548a8d62c3fd9de02e8053c0 100644 --- a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/4.3. Live Sketching.ipynb +++ b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/4.3. Live Sketching.ipynb @@ -1,126 +1,3 @@ -{ - "cells": [ - { - "cell_type": "code", - "metadata": { - "ExecuteTime": { - "end_time": "2025-03-13T12:18:54.614963Z", - "start_time": "2025-03-13T12:18:52.126661Z" - } - }, - "source": [ - "#import keras\n", - "import cv2\n", - "import numpy as np\n", - "import matplotlib\n", - "print (cv2.__version__)" - ], - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "4.11.0\n" - ] - } - ], - "execution_count": 1 - }, - { - "cell_type": "code", - "metadata": { - "ExecuteTime": { - "end_time": "2025-03-13T12:25:16.378140Z", - "start_time": "2025-03-13T12:25:15.608514Z" - } - }, - "source": [ - "import cv2\n", - "import numpy as np\n", - "\n", - "# Our sketch generating function\n", - "def sketch(image):\n", - " # Convert image to grayscale\n", - " img_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n", - " \n", - " # Clean up image using Guassian Blur\n", - " img_gray_blur = cv2.GaussianBlur(img_gray, (5,5), 0)\n", - " \n", - " # Extract edges\n", - " canny_edges = cv2.Canny(img_gray_blur, 20, 50)\n", - " \n", - " # Do an invert binarize the image \n", - " ret, mask = cv2.threshold(canny_edges, 70, 255, cv2.THRESH_BINARY_INV)\n", - " return mask\n", - "\n", - "\n", - "# Initialize webcam, cap is the object provided by VideoCapture\n", - "# It contains a boolean indicating if it was sucessful (ret)\n", - "# It also contains the images collected from the webcam (frame)\n", - "cap = cv2.VideoCapture(2)\n", - "\n", - "while True:\n", - " ret, frame = cap.read()\n", - " cv2.imshow('Our Live Sketcher', sketch(frame))\n", - " if cv2.waitKey(1) == 13 or cv2.waitKey(1) == 27: #13 is the Enter Key\n", - " break\n", - " \n", - "# Release camera and close windows\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ], - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[ WARN:0@382.189] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video2): can't open camera by index\n", - "[ERROR:0@382.862] global obsensor_uvc_stream_channel.cpp:158 getStreamChannelGroup Camera index out of range\n", - "[ WARN:0@382.866] global cap_v4l.cpp:803 requestBuffers VIDEOIO(V4L2:/dev/video2): failed VIDIOC_REQBUFS: errno=19 (No such device)\n" - ] - }, - { - "ename": "error", - "evalue": "OpenCV(4.11.0) /io/opencv/modules/imgproc/src/color.cpp:199: error: (-215:Assertion failed) !_src.empty() in function 'cvtColor'\n", - "output_type": "error", - "traceback": [ - "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", - "\u001B[0;31merror\u001B[0m Traceback (most recent call last)", - "Cell \u001B[0;32mIn[6], line 27\u001B[0m\n\u001B[1;32m 25\u001B[0m \u001B[38;5;28;01mwhile\u001B[39;00m \u001B[38;5;28;01mTrue\u001B[39;00m:\n\u001B[1;32m 26\u001B[0m ret, frame \u001B[38;5;241m=\u001B[39m cap\u001B[38;5;241m.\u001B[39mread()\n\u001B[0;32m---> 27\u001B[0m cv2\u001B[38;5;241m.\u001B[39mimshow(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mOur Live Sketcher\u001B[39m\u001B[38;5;124m'\u001B[39m, sketch(frame))\n\u001B[1;32m 28\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m cv2\u001B[38;5;241m.\u001B[39mwaitKey(\u001B[38;5;241m1\u001B[39m) \u001B[38;5;241m==\u001B[39m \u001B[38;5;241m13\u001B[39m \u001B[38;5;129;01mor\u001B[39;00m cv2\u001B[38;5;241m.\u001B[39mwaitKey(\u001B[38;5;241m1\u001B[39m) \u001B[38;5;241m==\u001B[39m \u001B[38;5;241m27\u001B[39m: \u001B[38;5;66;03m#13 is the Enter Key\u001B[39;00m\n\u001B[1;32m 29\u001B[0m \u001B[38;5;28;01mbreak\u001B[39;00m\n", - "Cell \u001B[0;32mIn[6], line 7\u001B[0m, in \u001B[0;36msketch\u001B[0;34m(image)\u001B[0m\n\u001B[1;32m 5\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21msketch\u001B[39m(image):\n\u001B[1;32m 6\u001B[0m \u001B[38;5;66;03m# Convert image to grayscale\u001B[39;00m\n\u001B[0;32m----> 7\u001B[0m img_gray \u001B[38;5;241m=\u001B[39m cv2\u001B[38;5;241m.\u001B[39mcvtColor(image, cv2\u001B[38;5;241m.\u001B[39mCOLOR_BGR2GRAY)\n\u001B[1;32m 9\u001B[0m \u001B[38;5;66;03m# Clean up image using Guassian Blur\u001B[39;00m\n\u001B[1;32m 10\u001B[0m img_gray_blur \u001B[38;5;241m=\u001B[39m cv2\u001B[38;5;241m.\u001B[39mGaussianBlur(img_gray, (\u001B[38;5;241m5\u001B[39m,\u001B[38;5;241m5\u001B[39m), \u001B[38;5;241m0\u001B[39m)\n", - "\u001B[0;31merror\u001B[0m: OpenCV(4.11.0) /io/opencv/modules/imgproc/src/color.cpp:199: error: (-215:Assertion failed) !_src.empty() in function 'cvtColor'\n" - ] - } - ], - "execution_count": 6 - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:29cdd955cdffe553eb049ca1bd367135500c47b2bf6ac39c61444d935726547c +size 5340 diff --git a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/Test - Imports Keras, OpenCV and tests webcam.ipynb b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/Test - Imports Keras, OpenCV and tests webcam.ipynb index efef30eb25fcafe7bac96b5e5f3a13e3edaaae3e..beca160103d3941b56f1594e6cc3ca3894c020e8 100644 --- a/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/Test - Imports Keras, OpenCV and tests webcam.ipynb +++ b/4. Get Started! Handwritting Recognition, Simple Object Classification & OpenCV Demo/Test - Imports Keras, OpenCV and tests webcam.ipynb @@ -1,122 +1,3 @@ -{ - "cells": [ - { - "cell_type": "code", - "metadata": { - "ExecuteTime": { - "end_time": "2025-03-13T12:26:00.769321Z", - "start_time": "2025-03-13T12:25:51.814601Z" - } - }, - "source": [ - "import cv2\n", - "import numpy as np\n", - "\n", - "# Our sketch generating function\n", - "def sketch(image):\n", - " # Convert image to grayscale\n", - " img_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n", - " \n", - " # Clean up image using Gaussian Blur\n", - " img_gray_blur = cv2.GaussianBlur(img_gray, (5,5), 0)\n", - " \n", - " # Extract edges\n", - " canny_edges = cv2.Canny(img_gray_blur, 10, 70)\n", - " \n", - " # Do an invert binarize the image \n", - " ret, mask = cv2.threshold(canny_edges, 70, 255, cv2.THRESH_BINARY_INV)\n", - " return mask\n", - "\n", - "\n", - "# Initialize webcam, cap is the object provided by VideoCapture\n", - "# It contains a boolean indicating if it was sucessful (ret)\n", - "# It also contains the images collected from the webcam (frame)\n", - "cap = cv2.VideoCapture(3)\n", - "\n", - "while True:\n", - " ret, frame = cap.read()\n", - " cv2.imshow('Our Live Sketcher', sketch(frame))\n", - " if cv2.waitKey(1) == 13: #13 is the Enter Key\n", - " break\n", - " \n", - "# Release camera and close windows\n", - "cap.release()\n", - "cv2.destroyAllWindows() " - ], - "outputs": [], - "execution_count": 1 - }, - { - "cell_type": "code", - "metadata": { - "ExecuteTime": { - "end_time": "2025-02-24T14:10:10.316586Z", - "start_time": "2025-02-24T14:10:10.209728Z" - } - }, - "source": "cap = cv2.VideoCapture(0)", - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[ WARN:0@1028.418] global cap_v4l.cpp:913 open VIDEOIO(V4L2:/dev/video0): can't open camera by index\n", - "[ERROR:0@1028.522] global obsensor_uvc_stream_channel.cpp:158 getStreamChannelGroup Camera index out of range\n" - ] - } - ], - "execution_count": 24 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-02-24T14:10:11.179764Z", - "start_time": "2025-02-24T14:10:11.162834Z" - } - }, - "cell_type": "code", - "source": "cap.read()\n", - "outputs": [ - { - "data": { - "text/plain": [ - "(False, None)" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 25 - }, - { - "metadata": {}, - "cell_type": "code", - "outputs": [], - "execution_count": null, - "source": "cv2.imshow('Our Live Sketcher', sketch(frame))" - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:198a2df703319d2e43fe0d959797cb7992dad0000bb25d6bef2655c01b417cce +size 3102 diff --git a/8. Making a CNN in Keras/8.11 - Building a CNN for Image Classification - CIFAR10.ipynb b/8. Making a CNN in Keras/8.11 - Building a CNN for Image Classification - CIFAR10.ipynb index 5bf82742a9691f0b96039b24f916b00c7278e829..cbb20e78407638cafb3e6d8f41d723c2c71245da 100644 --- a/8. Making a CNN in Keras/8.11 - Building a CNN for Image Classification - CIFAR10.ipynb +++ b/8. Making a CNN in Keras/8.11 - Building a CNN for Image Classification - CIFAR10.ipynb @@ -1,379 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### The CIFAR-10 Dataset\n", - "* Contains 10 categories of images\n", - " * airplane\n", - " * automobile\n", - " * bird\n", - " * cat\n", - " * deer\n", - " * dog\n", - " * frog\n", - " * horse\n", - " * ship\n", - " * truck" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's Begin training out model for CIFAR-10 using a deeper CNN" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "x_train shape: (50000, 32, 32, 3)\n", - "50000 train samples\n", - "10000 test samples\n", - "Model: \"sequential_5\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d_20 (Conv2D) (None, 32, 32, 32) 896 \n", - "_________________________________________________________________\n", - "activation_30 (Activation) (None, 32, 32, 32) 0 \n", - "_________________________________________________________________\n", - "conv2d_21 (Conv2D) (None, 30, 30, 32) 9248 \n", - "_________________________________________________________________\n", - "activation_31 (Activation) (None, 30, 30, 32) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_10 (MaxPooling (None, 15, 15, 32) 0 \n", - "_________________________________________________________________\n", - "dropout_15 (Dropout) (None, 15, 15, 32) 0 \n", - "_________________________________________________________________\n", - "conv2d_22 (Conv2D) (None, 15, 15, 64) 18496 \n", - "_________________________________________________________________\n", - "activation_32 (Activation) (None, 15, 15, 64) 0 \n", - "_________________________________________________________________\n", - "conv2d_23 (Conv2D) (None, 13, 13, 64) 36928 \n", - "_________________________________________________________________\n", - "activation_33 (Activation) (None, 13, 13, 64) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_11 (MaxPooling (None, 6, 6, 64) 0 \n", - "_________________________________________________________________\n", - "dropout_16 (Dropout) (None, 6, 6, 64) 0 \n", - "_________________________________________________________________\n", - "flatten_5 (Flatten) (None, 2304) 0 \n", - "_________________________________________________________________\n", - "dense_10 (Dense) (None, 512) 1180160 \n", - "_________________________________________________________________\n", - "activation_34 (Activation) (None, 512) 0 \n", - "_________________________________________________________________\n", - "dropout_17 (Dropout) (None, 512) 0 \n", - "_________________________________________________________________\n", - "dense_11 (Dense) (None, 10) 5130 \n", - "_________________________________________________________________\n", - "activation_35 (Activation) (None, 10) 0 \n", - "=================================================================\n", - "Total params: 1,250,858\n", - "Trainable params: 1,250,858\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "from __future__ import print_function\n", - "import tensorflow as tf\n", - "from tensorflow.keras.datasets import cifar10\n", - "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", - "from tensorflow.keras.models import load_model\n", - "from tensorflow.keras.utils import to_categorical\n", - "import os\n", - "\n", - "batch_size = 32\n", - "num_classes = 10\n", - "epochs = 1\n", - "\n", - "# Loads the CIFAR dataset\n", - "(x_train, y_train), (x_test, y_test) = cifar10.load_data()\n", - "\n", - "# Display our data shape/dimensions\n", - "print('x_train shape:', x_train.shape)\n", - "print(x_train.shape[0], 'train samples')\n", - "print(x_test.shape[0], 'test samples')\n", - "\n", - "# Format our training data by Normalizing and changing data type\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "x_train /= 255\n", - "x_test /= 255\n", - "\n", - "# Now we one hot encode outputs\n", - "y_train = to_categorical(y_train)\n", - "y_test = to_categorical(y_test)\n", - "\n", - "model = Sequential()\n", - "# Padding = 'same' results in padding the input such that\n", - "# the output has the same length as the original input\n", - "model.add(Conv2D(32, (3, 3), padding='same',\n", - " input_shape=x_train.shape[1:]))\n", - "model.add(Activation('relu'))\n", - "model.add(Conv2D(32, (3, 3)))\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.25))\n", - "\n", - "model.add(Conv2D(64, (3, 3), padding='same'))\n", - "model.add(Activation('relu'))\n", - "model.add(Conv2D(64, (3, 3)))\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.25))\n", - "\n", - "model.add(Flatten())\n", - "model.add(Dense(512))\n", - "model.add(Activation('relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(num_classes))\n", - "model.add(Activation('softmax'))\n", - "\n", - "# initiate RMSprop optimizer and configure some parameters\n", - "opt = tf.keras.optimizers.RMSprop(lr=0.0001, decay=1e-6)\n", - "\n", - "# Let's create our model\n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = opt,\n", - " metrics = ['accuracy'])\n", - "\n", - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Training Our Model" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Train on 50000 samples, validate on 10000 samples\n", - "50000/50000 [==============================] - 174s 3ms/sample - loss: 1.4921 - accuracy: 0.4595 - val_loss: 1.5935 - val_accuracy: 0.4478\n", - "10000/10000 [==============================] - 5s 490us/sample - loss: 1.5935 - accuracy: 0.4478\n", - "Test loss: 1.5935393712997437\n", - "Test accuracy: 0.4478\n" - ] - } - ], - "source": [ - "history = model.fit(x_train, y_train,\n", - " batch_size=batch_size,\n", - " epochs=epochs,\n", - " validation_data=(x_test, y_test),\n", - " shuffle=True)\n", - "\n", - "model.save(\"cifar_simple_cnn_2.h5\")\n", - "\n", - "# Evaluate the performance of our trained model\n", - "scores = model.evaluate(x_test, y_test, verbose=1)\n", - "print('Test loss:', scores[0])\n", - "print('Test accuracy:', scores[1])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plotting our Accuracy and Loss Charts" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plotting our loss charts\n", - "import matplotlib.pyplot as plt\n", - "\n", - "history_dict = history.history\n", - "\n", - "loss_values = history_dict['loss']\n", - "val_loss_values = history_dict['val_loss']\n", - "epochs = range(1, len(loss_values) + 1)\n", - "\n", - "line1 = plt.plot(epochs, val_loss_values, label='Validation/Test Loss')\n", - "line2 = plt.plot(epochs, loss_values, label='Training Loss')\n", - "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", - "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", - "plt.xlabel('Epochs') \n", - "plt.ylabel('Loss')\n", - "plt.grid(True)\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plotting our accuracy charts\n", - "import matplotlib.pyplot as plt\n", - "\n", - "history_dict = history.history\n", - "\n", - "acc_values = history_dict['accuracy']\n", - "val_acc_values = history_dict['val_accuracy']\n", - "epochs = range(1, len(loss_values) + 1)\n", - "\n", - "line1 = plt.plot(epochs, val_acc_values, label='Validation/Test Accuracy')\n", - "line2 = plt.plot(epochs, acc_values, label='Training Accuracy')\n", - "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", - "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", - "plt.xlabel('Epochs') \n", - "plt.ylabel('Accuracy')\n", - "plt.grid(True)\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's run some tests" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "import cv2\n", - "import numpy as np\n", - "from tensorflow.keras.models import load_model\n", - "\n", - "img_row, img_height, img_depth = 32,32,3\n", - "classifier = load_model('cifar_simple_cnn_2.h5')\n", - "color = True \n", - "scale = 8\n", - "\n", - "def draw_test(name, res, input_im, scale, img_row, img_height):\n", - " BLACK = [0,0,0]\n", - " res = int(res)\n", - " if res == 0:\n", - " pred = \"airplane\"\n", - " if res == 1:\n", - " pred = \"automobile\"\n", - " if res == 2:\n", - " pred = \"bird\"\n", - " if res == 3:\n", - " pred = \"cat\"\n", - " if res == 4:\n", - " pred = \"deer\"\n", - " if res == 5:\n", - " pred = \"dog\"\n", - " if res == 6:\n", - " pred = \"frog\"\n", - " if res == 7:\n", - " pred = \"horse\"\n", - " if res == 8:\n", - " pred = \"ship\"\n", - " if res == 9:\n", - " pred = \"truck\"\n", - " \n", - " expanded_image = cv2.copyMakeBorder(input_im, 0, 0, 0, imageL.shape[0]*2 ,cv2.BORDER_CONSTANT,value=BLACK)\n", - " if color == False:\n", - " expanded_image = cv2.cvtColor(expanded_image, cv2.COLOR_GRAY2BGR)\n", - " cv2.putText(expanded_image, str(pred), (300, 80) , cv2.FONT_HERSHEY_COMPLEX_SMALL,3, (0,255,0), 2)\n", - " cv2.imshow(name, expanded_image)\n", - "\n", - "\n", - "for i in range(0,10):\n", - " rand = np.random.randint(0,len(x_test))\n", - " input_im = x_test[rand]\n", - " imageL = cv2.resize(input_im, None, fx=scale, fy=scale, interpolation = cv2.INTER_CUBIC) \n", - " input_im = input_im.reshape(1,img_row, img_height, img_depth) \n", - " \n", - " ## Get Prediction\n", - " res = str(classifier.predict_classes(input_im, 1, verbose = 0)[0])\n", - " \n", - " draw_test(\"Prediction\", res, imageL, scale, img_row, img_height) \n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:3256af9109e9e327208bf0a65c7b29c4cc9ab2059243e19885a2465c6399958b +size 38096 diff --git a/8. Making a CNN in Keras/8.3 to 8.10 - Building a CNN for handwritten digits - MNIST.ipynb b/8. Making a CNN in Keras/8.3 to 8.10 - Building a CNN for handwritten digits - MNIST.ipynb index c67dd5e0f3d3795967ed2b843882565a391fbc2c..8bc522b0c2e797f95c1e26f8be3fdc39a1becf7a 100644 --- a/8. Making a CNN in Keras/8.3 to 8.10 - Building a CNN for handwritten digits - MNIST.ipynb +++ b/8. Making a CNN in Keras/8.3 to 8.10 - Building a CNN for handwritten digits - MNIST.ipynb @@ -1,892 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Our First CNN in Keras \n", - "### Creating a model based on the MNIST Dataset of Handwrittent Digits" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 1: Lets load our dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(60000, 28, 28)\n" - ] - } - ], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "\n", - "# loads the MNIST dataset\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "print (x_train.shape)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 2A: Examine the size and image dimenions (not required but good practice)\n", - "- Check the number of samples, dimenions and whether images are color or grayscale\n", - "- We see that our training data consist of **60,000** samples of training data, **10,000** samples of test data\n", - "- Our labels are appropriately sized as well\n", - "- Our Image dimenions are **28 x 28**, with **no color channels** (i.e. they are grayscale, so no BGR channels)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Initial shape or dimensions of x_train (60000, 28, 28)\n", - "Number of samples in our training data: 60000\n", - "Number of labels in our training data: 60000\n", - "Number of samples in our test data: 10000\n", - "Number of labels in our test data: 10000\n", - "\n", - "Dimensions of x_train:(28, 28)\n", - "Labels in x_train:(60000,)\n", - "\n", - "Dimensions of x_test:(28, 28)\n", - "Labels in y_test:(10000,)\n" - ] - } - ], - "source": [ - "# printing the number of samples in x_train, x_test, y_train, y_test\n", - "print(\"Initial shape or dimensions of x_train\", str(x_train.shape))\n", - "\n", - "print (\"Number of samples in our training data: \" + str(len(x_train)))\n", - "print (\"Number of labels in our training data: \" + str(len(y_train)))\n", - "print (\"Number of samples in our test data: \" + str(len(x_test)))\n", - "print (\"Number of labels in our test data: \" + str(len(y_test)))\n", - "print()\n", - "print (\"Dimensions of x_train:\" + str(x_train[0].shape))\n", - "print (\"Labels in x_train:\" + str(y_train.shape))\n", - "print()\n", - "print (\"Dimensions of x_test:\" + str(x_test[0].shape))\n", - "print (\"Labels in y_test:\" + str(y_test.shape))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 2B - Let's take a look at some of images in this dataset\n", - "- Using OpenCV\n", - "- Using Matplotlib" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# Using OpenCV\n", - "# import opencv and numpy\n", - "import cv2 \n", - "import numpy as np\n", - "\n", - "# Use OpenCV to display 6 random images from our dataset\n", - "for i in range(0,6):\n", - " random_num = np.random.randint(0, len(x_train))\n", - " img = x_train[random_num]\n", - " window_name = 'Random Sample #' + str(i)\n", - " cv2.imshow(window_name, img)\n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows() " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's do the same thing but using matplotlib to plot 6 images " - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# importing matplot lib\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Plots 6 images, note subplot's arugments are nrows,ncols,index\n", - "# we set the color map to grey since our image dataset is grayscale\n", - "plt.subplot(331)\n", - "random_num = np.random.randint(0,len(x_train))\n", - "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", - "\n", - "plt.subplot(332)\n", - "random_num = np.random.randint(0,len(x_train))\n", - "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", - "\n", - "plt.subplot(333)\n", - "random_num = np.random.randint(0,len(x_train))\n", - "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", - "\n", - "plt.subplot(334)\n", - "random_num = np.random.randint(0,len(x_train))\n", - "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", - "\n", - "plt.subplot(335)\n", - "random_num = np.random.randint(0,len(x_train))\n", - "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", - "\n", - "plt.subplot(336)\n", - "random_num = np.random.randint(0,len(x_train))\n", - "plt.imshow(x_train[random_num], cmap=plt.get_cmap('gray'))\n", - "\n", - "# Display out plots\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 3A - Prepare our dataset for training" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "x_train shape: (60000, 28, 28, 1)\n", - "60000 train samples\n", - "10000 test samples\n" - ] - } - ], - "source": [ - "# Lets store the number of rows and columns\n", - "img_rows = x_train[0].shape[0]\n", - "img_cols = x_train[0].shape[1]\n", - "\n", - "# Getting our date in the right 'shape' needed for Keras\n", - "# We need to add a 4th dimenion to our date thereby changing our\n", - "# Our original image shape of (60000,28,28) to (60000,28,28,1)\n", - "x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n", - "x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n", - "\n", - "# store the shape of a single image \n", - "input_shape = (img_rows, img_cols, 1)\n", - "\n", - "# change our image type to float32 data type\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "\n", - "# Normalize our data by changing the range from (0 to 255) to (0 to 1)\n", - "x_train /= 255\n", - "x_test /= 255\n", - "\n", - "print('x_train shape:', x_train.shape)\n", - "print(x_train.shape[0], 'train samples')\n", - "print(x_test.shape[0], 'test samples')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 3B - One Hot Encode Our Labels (Y)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of Classes: 10\n" - ] - } - ], - "source": [ - "from tensorflow.keras.utils import to_categorical\n", - "\n", - "# Now we one hot encode outputs\n", - "y_train = to_categorical(y_train)\n", - "y_test = to_categorical(y_test)\n", - "\n", - "# Let's count the number columns in our hot encoded matrix \n", - "print (\"Number of Classes: \" + str(y_test.shape[1]))\n", - "\n", - "num_classes = y_test.shape[1]\n", - "num_pixels = x_train.shape[1] * x_train.shape[2]" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0., 0., 0., 0., 0., 1., 0., 0., 0., 0.], dtype=float32)" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "y_train[0]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 4 - Create Our Model\n", - "- We're constructing a simple but effective CNN that uses 32 filters of size 3x3\n", - "- We've added a 2nd CONV layer of 64 filters of the same size 3x2\n", - "- We then downsample our data to 2x2, here he apply a dropout where p is set to 0.25\n", - "- We then flatten our Max Pool output that is connected to a Dense/FC layer that has an output size of 128\n", - "- How we apply a dropout where P is set to 0.5\n", - "- Thus 128 output is connected to another FC/Dense layer that outputs to the 10 categorical units" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential_1\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d (Conv2D) (None, 26, 26, 32) 320 \n", - "_________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 24, 24, 64) 18496 \n", - "_________________________________________________________________\n", - "max_pooling2d (MaxPooling2D) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "dropout (Dropout) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 9216) 0 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 128) 1179776 \n", - "_________________________________________________________________\n", - "dropout_1 (Dropout) (None, 128) 0 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 10) 1290 \n", - "=================================================================\n", - "Total params: 1,199,882\n", - "Trainable params: 1,199,882\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "import tensorflow as tf\n", - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Flatten\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", - "from tensorflow.keras import backend as K\n", - "from tensorflow.keras.optimizers import SGD \n", - "\n", - "# create model\n", - "model = Sequential()\n", - "\n", - "model.add(Conv2D(32, kernel_size=(3, 3),\n", - " activation='relu',\n", - " input_shape=input_shape))\n", - "model.add(Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.25))\n", - "model.add(Flatten())\n", - "model.add(Dense(128, activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(num_classes, activation='softmax'))\n", - "\n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = tf.keras.optimizers.SGD(0.01),\n", - " metrics = ['accuracy'])\n", - "\n", - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 5 - Train our Model\n", - "- We place our formatted data as the inputs and set the batch size, number of epochs\n", - "- We store our model's training results for plotting in future\n", - "- We then use Kera's molel.evaluate function to output the model's fina performance. Here we are examing Test Loss and Test Accuracy" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Train on 60000 samples, validate on 10000 samples\n", - "Epoch 1/10\n", - "60000/60000 [==============================] - 189s 3ms/step - loss: 0.2901 - acc: 0.9124 - val_loss: 0.1392 - val_acc: 0.9581\n", - "Epoch 2/10\n", - "60000/60000 [==============================] - 316s 5ms/step - loss: 0.2177 - acc: 0.9348 - val_loss: 0.1016 - val_acc: 0.9709\n", - "Epoch 3/10\n", - "60000/60000 [==============================] - 319s 5ms/step - loss: 0.1699 - acc: 0.9494 - val_loss: 0.0790 - val_acc: 0.9737\n", - "Epoch 4/10\n", - "60000/60000 [==============================] - 371s 6ms/step - loss: 0.1393 - acc: 0.9581 - val_loss: 0.0673 - val_acc: 0.9788\n", - "Epoch 5/10\n", - "60000/60000 [==============================] - 244s 4ms/step - loss: 0.1199 - acc: 0.9635 - val_loss: 0.0596 - val_acc: 0.9811\n", - "Epoch 6/10\n", - "60000/60000 [==============================] - 179s 3ms/step - loss: 0.1072 - acc: 0.9681 - val_loss: 0.0516 - val_acc: 0.9830\n", - "Epoch 7/10\n", - "60000/60000 [==============================] - 213s 4ms/step - loss: 0.0968 - acc: 0.9711 - val_loss: 0.0481 - val_acc: 0.9847\n", - "Epoch 8/10\n", - "60000/60000 [==============================] - 194s 3ms/step - loss: 0.0874 - acc: 0.9748 - val_loss: 0.0470 - val_acc: 0.9853\n", - "Epoch 9/10\n", - "60000/60000 [==============================] - 193s 3ms/step - loss: 0.0823 - acc: 0.9749 - val_loss: 0.0434 - val_acc: 0.9854\n", - "Epoch 10/10\n", - "60000/60000 [==============================] - 158s 3ms/step - loss: 0.0752 - acc: 0.9769 - val_loss: 0.0413 - val_acc: 0.9860\n", - "Test loss: 0.041306651647796386\n", - "Test accuracy: 0.986\n" - ] - } - ], - "source": [ - "batch_size = 32\n", - "epochs = 10\n", - "\n", - "history = model.fit(x_train,\n", - " y_train,\n", - " batch_size = batch_size,\n", - " epochs = epochs,\n", - " verbose = 1,\n", - " validation_data = (x_test, y_test))\n", - "\n", - "score = model.evaluate(x_test, y_test, verbose=0)\n", - "print('Test loss:', score[0])\n", - "print('Test accuracy:', score[1])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 6 - Ploting our Loss and Accuracy Charts" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plotting our loss charts\n", - "import matplotlib.pyplot as plt\n", - "\n", - "history_dict = history.history\n", - "\n", - "loss_values = history_dict['loss']\n", - "val_loss_values = history_dict['val_loss']\n", - "epochs = range(1, len(loss_values) + 1)\n", - "\n", - "line1 = plt.plot(epochs, val_loss_values, label='Validation/Test Loss')\n", - "line2 = plt.plot(epochs, loss_values, label='Training Loss')\n", - "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", - "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", - "plt.xlabel('Epochs') \n", - "plt.ylabel('Loss')\n", - "plt.grid(True)\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plotting our accuracy charts\n", - "import matplotlib.pyplot as plt\n", - "\n", - "history_dict = history.history\n", - "\n", - "acc_values = history_dict['accuracy']\n", - "val_acc_values = history_dict['val_accuracy']\n", - "epochs = range(1, len(loss_values) + 1)\n", - "\n", - "line1 = plt.plot(epochs, val_acc_values, label='Validation/Test Accuracy')\n", - "line2 = plt.plot(epochs, acc_values, label='Training Accuracy')\n", - "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", - "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", - "plt.xlabel('Epochs') \n", - "plt.ylabel('Accuracy')\n", - "plt.grid(True)\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 7A - Saving our Model" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model Saved\n" - ] - } - ], - "source": [ - "model.save(\"8_mnist_simple_cnn_10_Epochs.h5\")\n", - "print(\"Model Saved\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 7B - Loading our Model" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [], - "source": [ - "from keras.models import load_model\n", - "\n", - "classifier = load_model('8_mnist_simple_cnn_10_Epochs.h5')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Step 8 - Lets input some of our test data into our classifer" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [], - "source": [ - "import cv2\n", - "import numpy as np\n", - "\n", - "\n", - "def draw_test(name, pred, input_im):\n", - " BLACK = [0,0,0]\n", - " expanded_image = cv2.copyMakeBorder(input_im, 0, 0, 0, imageL.shape[0] ,cv2.BORDER_CONSTANT,value=BLACK)\n", - " expanded_image = cv2.cvtColor(expanded_image, cv2.COLOR_GRAY2BGR)\n", - " cv2.putText(expanded_image, str(pred), (152, 70) , cv2.FONT_HERSHEY_COMPLEX_SMALL,4, (0,255,0), 2)\n", - " cv2.imshow(name, expanded_image)\n", - "\n", - "\n", - "for i in range(0,10):\n", - " rand = np.random.randint(0,len(x_test))\n", - " input_im = x_test[rand]\n", - "\n", - " imageL = cv2.resize(input_im, None, fx=4, fy=4, interpolation = cv2.INTER_CUBIC)\n", - " input_im = input_im.reshape(1,28,28,1) \n", - " \n", - " ## Get Prediction\n", - " res = str(classifier.predict_classes(input_im, 1, verbose = 0)[0])\n", - "\n", - " draw_test(\"Prediction\", res, imageL) \n", - " cv2.waitKey(0)\n", - "\n", - "cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Putting All Together!\n", - "We don't need to run each section of code separately. Once we know it all works as it's supposed to, we can put all te pieces together and start training our model" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "x_train shape: (60000, 28, 28, 1)\n", - "60000 train samples\n", - "10000 test samples\n", - "Number of Classes: 10\n", - "Model: \"sequential_2\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d_2 (Conv2D) (None, 26, 26, 32) 320 \n", - "_________________________________________________________________\n", - "conv2d_3 (Conv2D) (None, 24, 24, 64) 18496 \n", - "_________________________________________________________________\n", - "max_pooling2d_1 (MaxPooling2 (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "dropout_2 (Dropout) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "flatten_1 (Flatten) (None, 9216) 0 \n", - "_________________________________________________________________\n", - "dense_2 (Dense) (None, 128) 1179776 \n", - "_________________________________________________________________\n", - "dropout_3 (Dropout) (None, 128) 0 \n", - "_________________________________________________________________\n", - "dense_3 (Dense) (None, 10) 1290 \n", - "=================================================================\n", - "Total params: 1,199,882\n", - "Trainable params: 1,199,882\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n", - "Train on 60000 samples, validate on 10000 samples\n", - "60000/60000 [==============================] - 88s 1ms/sample - loss: 0.9624 - accuracy: 0.7049 - val_loss: 0.3080 - val_accuracy: 0.9083\n", - "Test loss: 0.30797242881059644\n", - "Test accuracy: 0.9083\n" - ] - } - ], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "from tensorflow.keras.utils import to_categorical\n", - "import tensorflow as tf\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import Dense, Dropout, Flatten\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", - "from tensorflow.keras import backend as K\n", - "from tensorflow.keras.optimizers import SGD \n", - "\n", - "# Training Parameters\n", - "batch_size = 128\n", - "epochs = 1\n", - "\n", - "# loads the MNIST dataset\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "# Lets store the number of rows and columns\n", - "img_rows = x_train[0].shape[0]\n", - "img_cols = x_train[1].shape[0]\n", - "\n", - "# Getting our date in the right 'shape' needed for Keras\n", - "# We need to add a 4th dimenion to our date thereby changing our\n", - "# Our original image shape of (60000,28,28) to (60000,28,28,1)\n", - "x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n", - "x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n", - "\n", - "# store the shape of a single image \n", - "input_shape = (img_rows, img_cols, 1)\n", - "\n", - "# change our image type to float32 data type\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "\n", - "# Normalize our data by changing the range from (0 to 255) to (0 to 1)\n", - "x_train /= 255\n", - "x_test /= 255\n", - "\n", - "print('x_train shape:', x_train.shape)\n", - "print(x_train.shape[0], 'train samples')\n", - "print(x_test.shape[0], 'test samples')\n", - "\n", - "# Now we one hot encode outputs\n", - "y_train = to_categorical(y_train)\n", - "y_test = to_categorical(y_test)\n", - "\n", - "# Let's count the number columns in our hot encoded matrix \n", - "print (\"Number of Classes: \" + str(y_test.shape[1]))\n", - "\n", - "num_classes = y_test.shape[1]\n", - "num_pixels = x_train.shape[1] * x_train.shape[2]\n", - "\n", - "# create model\n", - "model = Sequential()\n", - "\n", - "model.add(Conv2D(32, kernel_size=(3, 3),\n", - " activation='relu',\n", - " input_shape=input_shape))\n", - "model.add(Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.25))\n", - "model.add(Flatten())\n", - "model.add(Dense(128, activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(num_classes, activation='softmax'))\n", - "\n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = SGD(0.01),\n", - " metrics = ['accuracy'])\n", - "\n", - "print(model.summary())\n", - "\n", - "history = model.fit(x_train, y_train,\n", - " batch_size=batch_size,\n", - " epochs=epochs,\n", - " verbose=1,\n", - " validation_data=(x_test, y_test))\n", - "\n", - "score = model.evaluate(x_test, y_test, verbose=0)\n", - "print('Test loss:', score[0])\n", - "print('Test accuracy:', score[1])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Visualizing Our Model\n", - "- First let's re-create our model " - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential_5\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d_8 (Conv2D) (None, 26, 26, 32) 320 \n", - "_________________________________________________________________\n", - "conv2d_9 (Conv2D) (None, 24, 24, 64) 18496 \n", - "_________________________________________________________________\n", - "max_pooling2d_4 (MaxPooling2 (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "dropout_8 (Dropout) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "flatten_4 (Flatten) (None, 9216) 0 \n", - "_________________________________________________________________\n", - "dense_8 (Dense) (None, 128) 1179776 \n", - "_________________________________________________________________\n", - "dropout_9 (Dropout) (None, 128) 0 \n", - "_________________________________________________________________\n", - "dense_9 (Dense) (None, 10) 1290 \n", - "=================================================================\n", - "Total params: 1,199,882\n", - "Trainable params: 1,199,882\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "%matplotlib inline\n", - "import tensorflow as tf\n", - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.utils import plot_model\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib.image as mpimg\n", - "import numpy as np\n", - "from tensorflow.keras.layers import Dense, Dropout, Flatten\n", - "from tensorflow.keras.layers import Conv2D, MaxPooling2D\n", - "from tensorflow.keras import backend as K\n", - "from tensorflow.keras.optimizers import SGD \n", - "\n", - "input_shape = (28,28,1)\n", - "num_classes = 10\n", - "\n", - "model = Sequential()\n", - "\n", - "model.add(Conv2D(32, kernel_size=(3, 3),\n", - " activation='relu',\n", - " input_shape=input_shape))\n", - "model.add(Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.25))\n", - "model.add(Flatten())\n", - "model.add(Dense(128, activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(num_classes, activation='softmax'))\n", - "\n", - "model.compile(loss = 'categorical_crossentropy',\n", - " optimizer = SGD(0.01),\n", - " metrics = ['accuracy'])\n", - "\n", - "print(model.summary()) " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Generating the diagram of the model architecture" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Failed to import pydot. You must install pydot and graphviz for `pydotprint` to work.\n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Generate the plot\n", - "plot_model(model, to_file = 'model_plot.png',\n", - " show_shapes = True,\n", - " show_layer_names = True)\n", - "\n", - "# Show the plot here\n", - "img = mpimg.imread('model_plot.png')\n", - "plt.figure(figsize=(30,15))\n", - "imgplot = plt.imshow(img) " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:9bedfa33aaf9f17a6cd37085cb1a0b13393b258e3c7057dd0b257803f5ea7d50 +size 159177 diff --git a/9. Visualizing What CNNs 'see' & Filter Visualization/9.1 Activation Maximization using Keras Visualization Toolkit.ipynb b/9. Visualizing What CNNs 'see' & Filter Visualization/9.1 Activation Maximization using Keras Visualization Toolkit.ipynb index 22044939073896dd306451b36db7feffd838fbe8..bb34ad8a1c8cca2c79c327915e7a3467a7702f3f 100644 --- a/9. Visualizing What CNNs 'see' & Filter Visualization/9.1 Activation Maximization using Keras Visualization Toolkit.ipynb +++ b/9. Visualizing What CNNs 'see' & Filter Visualization/9.1 Activation Maximization using Keras Visualization Toolkit.ipynb @@ -1,267 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Activation Maximization\n", - "\n", - "Lesson has been changed and updated for Tensorflow 2.0" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "https://github.com/keisen/tf-keras-vis/blob/master/examples/visualize_dense_layer.ipynb" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0 GPUs\n" - ] - } - ], - "source": [ - "%reload_ext autoreload\n", - "%autoreload 2\n", - "\n", - "import tensorflow as tf\n", - "from tf_keras_vis.utils import print_gpus\n", - "\n", - "print_gpus()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load VGG16, a pretrained imagenet model" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"vgg16\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "input_1 (InputLayer) [(None, 224, 224, 3)] 0 \n", - "_________________________________________________________________\n", - "block1_conv1 (Conv2D) (None, 224, 224, 64) 1792 \n", - "_________________________________________________________________\n", - "block1_conv2 (Conv2D) (None, 224, 224, 64) 36928 \n", - "_________________________________________________________________\n", - "block1_pool (MaxPooling2D) (None, 112, 112, 64) 0 \n", - "_________________________________________________________________\n", - "block2_conv1 (Conv2D) (None, 112, 112, 128) 73856 \n", - "_________________________________________________________________\n", - "block2_conv2 (Conv2D) (None, 112, 112, 128) 147584 \n", - "_________________________________________________________________\n", - "block2_pool (MaxPooling2D) (None, 56, 56, 128) 0 \n", - "_________________________________________________________________\n", - "block3_conv1 (Conv2D) (None, 56, 56, 256) 295168 \n", - "_________________________________________________________________\n", - "block3_conv2 (Conv2D) (None, 56, 56, 256) 590080 \n", - "_________________________________________________________________\n", - "block3_conv3 (Conv2D) (None, 56, 56, 256) 590080 \n", - "_________________________________________________________________\n", - "block3_pool (MaxPooling2D) (None, 28, 28, 256) 0 \n", - "_________________________________________________________________\n", - "block4_conv1 (Conv2D) (None, 28, 28, 512) 1180160 \n", - "_________________________________________________________________\n", - "block4_conv2 (Conv2D) (None, 28, 28, 512) 2359808 \n", - "_________________________________________________________________\n", - "block4_conv3 (Conv2D) (None, 28, 28, 512) 2359808 \n", - "_________________________________________________________________\n", - "block4_pool (MaxPooling2D) (None, 14, 14, 512) 0 \n", - "_________________________________________________________________\n", - "block5_conv1 (Conv2D) (None, 14, 14, 512) 2359808 \n", - "_________________________________________________________________\n", - "block5_conv2 (Conv2D) (None, 14, 14, 512) 2359808 \n", - "_________________________________________________________________\n", - "block5_conv3 (Conv2D) (None, 14, 14, 512) 2359808 \n", - "_________________________________________________________________\n", - "block5_pool (MaxPooling2D) (None, 7, 7, 512) 0 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 25088) 0 \n", - "_________________________________________________________________\n", - "fc1 (Dense) (None, 4096) 102764544 \n", - "_________________________________________________________________\n", - "fc2 (Dense) (None, 4096) 16781312 \n", - "_________________________________________________________________\n", - "predictions (Dense) (None, 1000) 4097000 \n", - "=================================================================\n", - "Total params: 138,357,544\n", - "Trainable params: 138,357,544\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "from tensorflow.keras.applications.vgg16 import VGG16 as Model\n", - "\n", - "# Load model\n", - "model = Model(weights='imagenet', include_top=True)\n", - "model.summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Visualizing a specific output category" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**ActivationMaximization** will maximize the value that is computed by the loss function passed as argument. Here, we try to visualize a category as defined No.20 (ouzel) of imagenet.\n", - "\n", - "[!NOTE] The softmax activation function which is applied to model's last layer may obstruct generating shape images, so that you need to replace the function to a linear function using model_modifier." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Steps: 100\tLosses: [125.81570434570312],\tRegularizations: [('TotalVariation', 90.35606384277344), ('L2Norm', 0.025609174743294716)]\n", - "Steps: 200\tLosses: [197.79159545898438],\tRegularizations: [('TotalVariation', 93.89913940429688), ('L2Norm', 0.02545984648168087)]\n" - ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "from matplotlib import pyplot as plt\n", - "%matplotlib inline\n", - "from tensorflow.keras import backend as K\n", - "from tf_keras_vis.activation_maximization import ActivationMaximization\n", - "from tf_keras_vis.utils.callbacks import Print\n", - "\n", - "# Define modifier to replace a softmax function of the last layer to a linear function.\n", - "def model_modifier(m):\n", - " m.layers[-1].activation = tf.keras.activations.linear\n", - "\n", - "# Create Activation Maximization object\n", - "activation_maximization = ActivationMaximization(model, model_modifier)\n", - "\n", - "# Define loss function. 20 is the imagenet index corresponding to ouzel.\n", - "loss = lambda x: K.mean(x[:, 20])\n", - "\n", - "# Generate max activation with debug printing\n", - "activation = activation_maximization(loss, callbacks=[Print(interval=100)])\n", - "image = activation[0].astype(np.uint8)\n", - "\n", - "f, ax = plt.subplots(figsize=(10, 5), subplot_kw={'xticks': [], 'yticks': []})\n", - "ax.imshow(image)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's see if we can get better results with more iterations and generate a GIF as it evolves" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Steps: 100\tLosses: [137.27935791015625],\tRegularizations: [('TotalVariation', 87.05181121826172), ('L2Norm', 0.025591375306248665)]\n", - "Steps: 200\tLosses: [244.4339599609375],\tRegularizations: [('TotalVariation', 99.19427490234375), ('L2Norm', 0.02542869932949543)]\n", - "Steps: 300\tLosses: [296.3731994628906],\tRegularizations: [('TotalVariation', 107.99679565429688), ('L2Norm', 0.025283876806497574)]\n", - "Steps: 400\tLosses: [283.322265625],\tRegularizations: [('TotalVariation', 108.83818054199219), ('L2Norm', 0.02515660971403122)]\n", - "Steps: 500\tLosses: [294.36651611328125],\tRegularizations: [('TotalVariation', 105.03105926513672), ('L2Norm', 0.025105057284235954)]\n" - ] - }, - { - "ename": "FileNotFoundError", - "evalue": "The directory \"C:\\\\Users\\\\Rajeev\\\\DeepLearningCV\\\\ 9. Visualizing What CNNs 'see' & Filter Visualization\\\\images\" does not exist", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0msteps\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m512\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 6\u001b[0m callbacks=[ Print(interval=100),\n\u001b[1;32m----> 7\u001b[1;33m GifGenerator('images/activation_maximization')])\n\u001b[0m\u001b[0;32m 8\u001b[0m \u001b[0mimage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mactivation\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0muint8\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 9\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\tf_keras_vis\\activation_maximization.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, loss, seed_input, input_range, input_modifiers, regularizers, steps, optimizer, normalize_gradient, gradient_modifier, callbacks)\u001b[0m\n\u001b[0;32m 114\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 115\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mcallback\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mcallbacks\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 116\u001b[1;33m \u001b[0mcallback\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mon_end\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 117\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 118\u001b[0m \u001b[0mcliped_value\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_apply_clip\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mseed_inputs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minput_ranges\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mC:\\ProgramData\\Anaconda3\\envs\\cv\\lib\\site-packages\\tf_keras_vis\\utils\\callbacks.py\u001b[0m in \u001b[0;36mon_end\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 101\u001b[0m \u001b[0mwriter\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 102\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 103\u001b[1;33m \u001b[0mwriter\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mimageio\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_writer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'I'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mloop\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 104\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mdata\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 105\u001b[0m \u001b[0mwriter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend_data\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - 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"\u001b[1;31mFileNotFoundError\u001b[0m: The directory \"C:\\\\Users\\\\Rajeev\\\\DeepLearningCV\\\\ 9. Visualizing What CNNs 'see' & Filter Visualization\\\\images\" does not exist" - ] - } - ], - "source": [ - "from tf_keras_vis.utils.callbacks import GifGenerator\n", - "\n", - "# Do 500 iterations and Generate an optimizing animation\n", - "activation = activation_maximization(loss,\n", - " steps=512,\n", - " callbacks=[ Print(interval=100),\n", - " GifGenerator('images/activation_maximization')])\n", - "image = activation[0].astype(np.uint8)\n", - "\n", - "f, ax = plt.subplots(figsize=(10, 5), subplot_kw={'xticks': [], 'yticks': []})\n", - "ax.imshow(image)\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:efb8f6f0ca1007df81bb78510ad20af377ecc8f60c21d8f118e3d39ab1908a52 +size 174124 diff --git a/9. Visualizing What CNNs 'see' & Filter Visualization/9.2 Saliency Maps.ipynb b/9. Visualizing What CNNs 'see' & Filter Visualization/9.2 Saliency Maps.ipynb index e5fe9cdb833d6b30d2147a8b206cf087e7d9e20c..07bcb62b82f78eb995f3001c9066a5d2cabcc57d 100644 --- a/9. Visualizing What CNNs 'see' & Filter Visualization/9.2 Saliency Maps.ipynb +++ b/9. Visualizing What CNNs 'see' & Filter Visualization/9.2 Saliency Maps.ipynb @@ -1,844 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Activation Maximization on MNIST" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "https://github.com/raghakot/keras-vis/blob/master/examples/mnist/activation_maximization.ipynb" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using TensorFlow backend.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "x_train shape: (60000, 28, 28, 1)\n", - "60000 train samples\n", - "10000 test samples\n", - "Train on 60000 samples, validate on 10000 samples\n", - "Epoch 1/1\n", - "60000/60000 [==============================] - 139s 2ms/step - loss: 0.2495 - acc: 0.9229 - val_loss: 0.0486 - val_acc: 0.9843\n", - "Test loss: 0.04858853696002625\n", - "Test accuracy: 0.9843\n" - ] - } - ], - "source": [ - "from __future__ import print_function\n", - "\n", - "import numpy as np\n", - "import keras\n", - "\n", - "from keras.datasets import mnist\n", - "from keras.models import Sequential, Model\n", - "from keras.layers import Dense, Dropout, Flatten, Activation, Input\n", - "from keras.layers import Conv2D, MaxPooling2D\n", - "from keras import backend as K\n", - "\n", - "batch_size = 128\n", - "num_classes = 10\n", - "epochs = 1\n", - "\n", - "# input image dimensions\n", - "img_rows, img_cols = 28, 28\n", - "\n", - "# the data, shuffled and split between train and test sets\n", - "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n", - "\n", - "if K.image_data_format() == 'channels_first':\n", - " x_train = x_train.reshape(x_train.shape[0], 1, img_rows, img_cols)\n", - " x_test = x_test.reshape(x_test.shape[0], 1, img_rows, img_cols)\n", - " input_shape = (1, img_rows, img_cols)\n", - "else:\n", - " x_train = x_train.reshape(x_train.shape[0], img_rows, img_cols, 1)\n", - " x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1)\n", - " input_shape = (img_rows, img_cols, 1)\n", - "\n", - "x_train = x_train.astype('float32')\n", - "x_test = x_test.astype('float32')\n", - "x_train /= 255\n", - "x_test /= 255\n", - "print('x_train shape:', x_train.shape)\n", - "print(x_train.shape[0], 'train samples')\n", - "print(x_test.shape[0], 'test samples')\n", - "\n", - "# convert class vectors to binary class matrices\n", - "y_train = keras.utils.to_categorical(y_train, num_classes)\n", - "y_test = keras.utils.to_categorical(y_test, num_classes)\n", - "\n", - "model = Sequential()\n", - "model.add(Conv2D(32, kernel_size=(3, 3),\n", - " activation='relu',\n", - " input_shape=input_shape))\n", - "model.add(Conv2D(64, (3, 3), activation='relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.25))\n", - "model.add(Flatten())\n", - "model.add(Dense(128, activation='relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(num_classes, activation='softmax', name='preds'))\n", - "\n", - "model.compile(loss=keras.losses.categorical_crossentropy,\n", - " optimizer=keras.optimizers.Adam(),\n", - " metrics=['accuracy'])\n", - "\n", - "model.fit(x_train, y_train,\n", - " batch_size=batch_size,\n", - " epochs=epochs,\n", - " verbose=1,\n", - " validation_data=(x_test, y_test))\n", - "\n", - "score = model.evaluate(x_test, y_test, verbose=0)\n", - "print('Test loss:', score[0])\n", - "print('Test accuracy:', score[1])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Saliency Visualizations\n", - "\n", - "\n", - "\n", - "To visualize activation over final dense layer outputs, we need to switch the softmax activation out for linear since gradient of output node will depend on all the other node activations. Doing this in keras is tricky, so we provide utils.apply_modifications to modify network parameters and rebuild the graph.\n", - "\n", - "If this swapping is not done, the results might be suboptimal. We will start by swapping out 'softmax' for 'linear' and compare what happens if we dont do this at the end.\n", - "\n", - "Lets pick an input over which we want to show the attention" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from vis.visualization import visualize_saliency\n", - "from vis.utils import utils\n", - "from keras import activations\n", - "from matplotlib import pyplot as plt\n", - "%matplotlib inline\n", - "\n", - "class_idx = 0\n", - "indices = np.where(y_test[:, class_idx] == 1.)[0]\n", - "\n", - "# pick some random input from here.\n", - "idx = indices[0]\n", - "\n", - "# Utility to search for layer index by name. \n", - "# Alternatively we can specify this as -1 since it corresponds to the last layer.\n", - "layer_idx = utils.find_layer_idx(model, 'preds')\n", - "\n", - "# Swap softmax with linear\n", - "model.layers[layer_idx].activation = activations.linear\n", - "model = utils.apply_modifications(model)\n", - "\n", - "grads = visualize_saliency(model, layer_idx, filter_indices=class_idx, seed_input=x_test[idx])\n", - "# Plot with 'jet' colormap to visualize as a heatmap.\n", - "plt.imshow(grads, cmap='jet')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To used guided saliency, we need to set backprop_modifier='guided'. For rectified saliency or deconv saliency, use backprop_modifier='relu'. Lets try these options quickly and see how they compare to vanilla saliency." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "for modifier in ['guided', 'relu']:\n", - " grads = visualize_saliency(model, layer_idx, filter_indices=class_idx,\n", - " seed_input=x_test[idx], backprop_modifier=modifier)\n", - " plt.figure()\n", - " plt.title(modifier)\n", - " plt.imshow(grads, cmap='jet')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "Both of them look a lot better than vanilla saliency! This in inline with observation in the paper.\n", - "\n", - "We can also visualize negative gradients to see the parts of the image that contribute negatively to the output by using grad_modifier='negate'.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "grads = visualize_saliency(model, layer_idx, filter_indices=class_idx, seed_input=x_test[idx], \n", - " backprop_modifier='guided', grad_modifier='negate')\n", - "plt.imshow(grads, cmap='jet')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "Lets try all the classes and show original inputs and their heatmaps side by side. We cannot overlay the heatmap on original image since its grayscale.\n", - "\n", - "We will also compare the outputs of guided and rectified or deconv saliency.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# This corresponds to the Dense linear layer.\n", - "for class_idx in np.arange(10): \n", - " indices = np.where(y_test[:, class_idx] == 1.)[0]\n", - " idx = indices[0]\n", - "\n", - " f, ax = plt.subplots(1, 4)\n", - " ax[0].imshow(x_test[idx][..., 0])\n", - " \n", - " for i, modifier in enumerate([None, 'guided', 'relu']):\n", - " grads = visualize_saliency(model, layer_idx, filter_indices=class_idx, \n", - " seed_input=x_test[idx], backprop_modifier=modifier)\n", - " if modifier is None:\n", - " modifier = 'vanilla'\n", - " ax[i+1].set_title(modifier) \n", - " ax[i+1].imshow(grads, cmap='jet')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Guided saliency seems to give the best results" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "## grad-CAM - vanilla, guided, rectified\n", - "\n", - "These should contain more detail since they use Conv or Pooling features that contain more spatial detail which is lost in Dense layers. The only additional detail compared to saliency is the penultimate_layer_idx. This specifies the pre-layer whose gradients should be used. See this paper for technical details: https://arxiv.org/pdf/1610.02391v1.pdf\n", - "\n", - "By default, if penultimate_layer_idx is not defined, it searches for the nearest pre layer. For our architecture, that would be the MaxPooling2D layer after all the Conv layers. Lets look at all the visualizations like before.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from vis.visualization import visualize_cam\n", - "\n", - "# This corresponds to the Dense linear layer.\n", - "for class_idx in np.arange(10): \n", - " indices = np.where(y_test[:, class_idx] == 1.)[0]\n", - " idx = indices[0]\n", - "\n", - " f, ax = plt.subplots(1, 4)\n", - " ax[0].imshow(x_test[idx][..., 0])\n", - " \n", - " for i, modifier in enumerate([None, 'guided', 'relu']):\n", - " grads = visualize_cam(model, layer_idx, filter_indices=class_idx, \n", - " seed_input=x_test[idx], backprop_modifier=modifier) \n", - " if modifier is None:\n", - " modifier = 'vanilla'\n", - " ax[i+1].set_title(modifier) \n", - " ax[i+1].imshow(grads, cmap='jet')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "In this case it appears that saliency is better than grad-CAM as penultimate MaxPooling2D layer has (12, 12) spatial resolution which is relatively large as compared to input of (28, 28). Is is likely that the conv layer hasnt captured enough high level information and most of that is likely within dense_4 layer.\n", - "\n", - "Here is the model summary for reference.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d_1 (Conv2D) (None, 26, 26, 32) 320 \n", - "_________________________________________________________________\n", - "conv2d_2 (Conv2D) (None, 24, 24, 64) 18496 \n", - "_________________________________________________________________\n", - "max_pooling2d_1 (MaxPooling2 (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "dropout_1 (Dropout) (None, 12, 12, 64) 0 \n", - "_________________________________________________________________\n", - "flatten_1 (Flatten) (None, 9216) 0 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 128) 1179776 \n", - "_________________________________________________________________\n", - "dropout_2 (Dropout) (None, 128) 0 \n", - "_________________________________________________________________\n", - "preds (Dense) (None, 10) 1290 \n", - "=================================================================\n", - "Total params: 1,199,882\n", - "Trainable params: 1,199,882\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n" - ] - } - ], - "source": [ - "print(model.summary())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "## Visualization without swapping softmax\n", - "\n", - "As alluded at the beginning of the tutorial, we want to compare and see what happens if we didnt swap out softmax for linear activation. Lets try this with guided saliency which gave us the best results so far.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Swap linear back with softmax\n", - "model.layers[layer_idx].activation = activations.softmax\n", - "model = utils.apply_modifications(model)\n", - "\n", - "for class_idx in np.arange(10): \n", - " indices = np.where(y_test[:, class_idx] == 1.)[0]\n", - " idx = indices[0]\n", - " \n", - " grads = visualize_saliency(model, layer_idx, filter_indices=class_idx, \n", - " seed_input=x_test[idx], backprop_modifier='guided')\n", - "\n", - " f, ax = plt.subplots(1, 2)\n", - " ax[0].imshow(x_test[idx][..., 0])\n", - " ax[1].imshow(grads, cmap='jet')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "It does not work as well!\n", - "\n", - "The reason is that maximizing an output node can be done by minimizing other outputs. Softmax is weird that way. It is the only activation that depends on other node output(s) in the layer.\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:096121e49655b43346b2e4f34bf521073fc57f7c8354aaffc1db22f2b2910d3f +size 488152 diff --git a/9. Visualizing What CNNs 'see' & Filter Visualization/9.3A Visualizing Filter Patterns.ipynb b/9. Visualizing What CNNs 'see' & Filter Visualization/9.3A Visualizing Filter Patterns.ipynb index a1dead18122b958fc7c9226578e3243bc2537b6e..5896325e24c169facf6dc4b9aee57e323a96e375 100644 --- a/9. Visualizing What CNNs 'see' & Filter Visualization/9.3A Visualizing Filter Patterns.ipynb +++ b/9. Visualizing What CNNs 'see' & Filter Visualization/9.3A Visualizing Filter Patterns.ipynb @@ -1,1020 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Visualizing Filter Patterns\n", - "Code influencecd by https://github.com/fchollet/deep-learning-with-python-notebooks/blob/master/5.4-visualizing-what-convnets-learn.ipynb" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 2000 images belonging to 2 classes.\n", - "Found 1000 images belonging to 2 classes.\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d_11 (Conv2D) (None, 148, 148, 32) 896 \n", - "_________________________________________________________________\n", - "activation_17 (Activation) (None, 148, 148, 32) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_11 (MaxPooling (None, 74, 74, 32) 0 \n", - "_________________________________________________________________\n", - "dropout_8 (Dropout) (None, 74, 74, 32) 0 \n", - "_________________________________________________________________\n", - "conv2d_12 (Conv2D) (None, 72, 72, 32) 9248 \n", - "_________________________________________________________________\n", - "activation_18 (Activation) (None, 72, 72, 32) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_12 (MaxPooling (None, 36, 36, 32) 0 \n", - "_________________________________________________________________\n", - "dropout_9 (Dropout) (None, 36, 36, 32) 0 \n", - "_________________________________________________________________\n", - "conv2d_13 (Conv2D) (None, 34, 34, 64) 18496 \n", - "_________________________________________________________________\n", - "activation_19 (Activation) (None, 34, 34, 64) 0 \n", - "_________________________________________________________________\n", - "max_pooling2d_13 (MaxPooling (None, 17, 17, 64) 0 \n", - "_________________________________________________________________\n", - "dropout_10 (Dropout) (None, 17, 17, 64) 0 \n", - "_________________________________________________________________\n", - "flatten_4 (Flatten) (None, 18496) 0 \n", - "_________________________________________________________________\n", - "dense_7 (Dense) (None, 64) 1183808 \n", - "_________________________________________________________________\n", - "activation_20 (Activation) (None, 64) 0 \n", - "_________________________________________________________________\n", - "dropout_11 (Dropout) (None, 64) 0 \n", - "_________________________________________________________________\n", - "dense_8 (Dense) (None, 1) 65 \n", - "_________________________________________________________________\n", - "activation_21 (Activation) (None, 1) 0 \n", - "=================================================================\n", - "Total params: 1,212,513\n", - "Trainable params: 1,212,513\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n", - "None\n", - "Found 2000 images belonging to 2 classes.\n" - ] - } - ], - "source": [ - "import os\n", - "import numpy as np\n", - "from keras.models import Sequential\n", - "from keras.layers import Activation, Dropout, Flatten, Dense\n", - "from keras.preprocessing.image import ImageDataGenerator\n", - "from keras.layers import Conv2D, MaxPooling2D, ZeroPadding2D\n", - "from keras import optimizers\n", - "import scipy\n", - "import pylab as pl\n", - "import matplotlib.cm as cm\n", - "%matplotlib inline\n", - "\n", - "input_shape = (150, 150, 3)\n", - "img_width = 150\n", - "img_height = 150\n", - "\n", - "nb_train_samples = 2000\n", - "nb_validation_samples = 1000\n", - "batch_size = 32\n", - "epochs = 10\n", - "\n", - "train_data_dir = './datasets/catsvsdogs/train'\n", - "validation_data_dir = './datasets/catsvsdogs/validation'\n", - "\n", - "# used to rescale the pixel values from [0, 255] to [0, 1] interval\n", - "datagen = ImageDataGenerator(rescale=1./255)\n", - "\n", - "# automagically retrieve images and their classes for train and validation sets\n", - "train_generator = datagen.flow_from_directory(\n", - " train_data_dir,\n", - " target_size=(img_width, img_height),\n", - " batch_size=16,\n", - " class_mode='binary')\n", - "\n", - "validation_generator = datagen.flow_from_directory(\n", - " validation_data_dir,\n", - " target_size=(img_width, img_height),\n", - " batch_size=32,\n", - " class_mode='binary')\n", - "\n", - "model = Sequential()\n", - "model.add(Conv2D(32, (3, 3), input_shape=input_shape))\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.5))\n", - "model.add(Conv2D(32, (3, 3)))\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.5))\n", - "model.add(Conv2D(64, (3, 3)))\n", - "model.add(Activation('relu'))\n", - "model.add(MaxPooling2D(pool_size=(2, 2)))\n", - "model.add(Dropout(0.5))\n", - "\n", - "model.add(Flatten())\n", - "model.add(Dense(64))\n", - "model.add(Activation('relu'))\n", - "model.add(Dropout(0.5))\n", - "model.add(Dense(1))\n", - "model.add(Activation('sigmoid'))\n", - "\n", - "print(model.summary())\n", - "\n", - "model.compile(loss='binary_crossentropy',\n", - " optimizer='rmsprop',\n", - " metrics=['accuracy'])\n", - "\n", - "train_datagen_augmented = ImageDataGenerator(\n", - " rescale=1./255, # normalize pixel values to [0,1]\n", - " shear_range=0.2, # randomly applies shearing transformation\n", - " zoom_range=0.2, # randomly applies shearing transformation\n", - " rotation_range = 30,\n", - " horizontal_flip=True) # randomly flip the images\n", - "\n", - "# same code as before\n", - "train_generator_augmented = train_datagen_augmented.flow_from_directory(\n", - " train_data_dir,\n", - " target_size=(img_width, img_height),\n", - " batch_size=batch_size,\n", - " class_mode='binary')" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/10\n", - "62/62 [==============================] - 43s 687ms/step - loss: 0.7831 - acc: 0.4980 - val_loss: 0.6932 - val_acc: 0.4990\n", - "Epoch 2/10\n", - "62/62 [==============================] - 40s 641ms/step - loss: 0.6891 - acc: 0.5675 - val_loss: 0.6907 - val_acc: 0.5692\n", - "Epoch 3/10\n", - "62/62 [==============================] - 36s 587ms/step - loss: 0.6927 - acc: 0.5635 - val_loss: 0.6904 - val_acc: 0.5196\n", - "Epoch 4/10\n", - "62/62 [==============================] - 35s 571ms/step - loss: 0.6703 - acc: 0.5857 - val_loss: 0.6634 - val_acc: 0.6229\n", - "Epoch 5/10\n", - "62/62 [==============================] - 36s 575ms/step - loss: 0.6579 - acc: 0.6361 - val_loss: 0.6629 - val_acc: 0.5692\n", - "Epoch 6/10\n", - "62/62 [==============================] - 36s 581ms/step - loss: 0.6452 - acc: 0.6230 - val_loss: 0.6636 - val_acc: 0.5661\n", - "Epoch 7/10\n", - "62/62 [==============================] - 34s 550ms/step - loss: 0.6404 - acc: 0.6472 - val_loss: 0.6353 - val_acc: 0.6136\n", - "Epoch 8/10\n", - "62/62 [==============================] - 34s 543ms/step - loss: 0.6521 - acc: 0.6492 - val_loss: 0.6461 - val_acc: 0.5992\n", - "Epoch 9/10\n", - "62/62 [==============================] - 38s 609ms/step - loss: 0.6166 - acc: 0.6542 - val_loss: 0.6541 - val_acc: 0.5754\n", - "Epoch 10/10\n", - "62/62 [==============================] - 34s 549ms/step - loss: 0.6146 - acc: 0.6714 - val_loss: 0.6298 - val_acc: 0.5909\n" - ] - } - ], - "source": [ - "history = model.fit_generator(\n", - " train_generator,\n", - " steps_per_epoch = nb_train_samples // batch_size,\n", - " epochs = epochs,\n", - " validation_data = validation_generator,\n", - " validation_steps = nb_validation_samples // batch_size)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plotting our loss charts\n", - "import matplotlib.pyplot as plt\n", - "\n", - "history_dict = history.history\n", - "\n", - "loss_values = history_dict['loss']\n", - "val_loss_values = history_dict['val_loss']\n", - "epochs = range(1, len(loss_values) + 1)\n", - "\n", - "line1 = plt.plot(epochs, val_loss_values, label='Validation/Test Loss')\n", - "line2 = plt.plot(epochs, loss_values, label='Training Loss')\n", - "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", - "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", - "plt.xlabel('Epochs') \n", - "plt.ylabel('Loss')\n", - "plt.grid(True)\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Plotting our acuracy charts\n", - "import matplotlib.pyplot as plt\n", - "\n", - "history_dict = history.history\n", - "\n", - "loss_values = history_dict['acc']\n", - "val_loss_values = history_dict['val_acc']\n", - "epochs = range(1, len(loss_values) + 1)\n", - "\n", - "line1 = plt.plot(epochs, val_loss_values, label='Validation/Test Accuracy')\n", - "line2 = plt.plot(epochs, loss_values, label='Training Accuracy')\n", - "plt.setp(line1, linewidth=2.0, marker = '+', markersize=10.0)\n", - "plt.setp(line2, linewidth=2.0, marker = '4', markersize=10.0)\n", - "plt.xlabel('Epochs') \n", - "plt.ylabel('Loss')\n", - "plt.grid(True)\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "model.save(\"/home/deeplearningcv/DeepLearningCV/Trained Models/cats_vs_dogs_dataugment_working.h5\")" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from keras.preprocessing import image\n", - "import matplotlib.pyplot as plt\n", - "\n", - "input_image_path = './datasets/catsvsdogs/validation/cats/cat074.jpg'\n", - "\n", - "# Show our input Image for Feature visualization\n", - "img1 = image.load_img(input_image_path)\n", - "plt.imshow(img1);\n", - "\n", - "img_size = (150, 150)\n", - "# load imamge into a 4D Tensor, convert it to a numpy array and expand to 4 dim\n", - "img1 = image.load_img(input_image_path, target_size = img_size)\n", - "image_tensor = image.img_to_array(img1)\n", - "#print(image_tensor.shape)\n", - "image_tensor = image_tensor/255\n", - "image_tensor = np.expand_dims(image_tensor, axis=0)\n", - "#print(img.shape)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Creating a model from an input tensor and list of output tensors\n", - "\n", - "To extract feature maps we create a Keras model that takes batches of images as input and outputs the activations of all convolution and pooling layers. " - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [], - "source": [ - "from keras import models\n", - "\n", - "# Extracts the top 8 layers\n", - "layer_outputs = [layer.output for layer in model.layers[:9]]\n", - "\n", - "# Creates a model that returns these outputs given the model input\n", - "activation_model = models.Model(inputs=model.input, outputs=layer_outputs)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Run our image through our model's prediction function" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [], - "source": [ - "activations = activation_model.predict(image_tensor)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(1, 148, 148, 32)\n" - ] - } - ], - "source": [ - "first_layer_activation = activations[0]\n", - "print(first_layer_activation.shape)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's take a look at the first channel" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.matshow(first_layer_activation[0, :, :, 1], cmap='viridis')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Now let's look at the 7th Channel" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.matshow(first_layer_activation[0, :, :, 5], cmap='viridis')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's plot all 32" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/deeplearningcv/anaconda3/envs/cv/lib/python3.6/site-packages/matplotlib/pyplot.py:513: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n", - " max_open_warning, RuntimeWarning)\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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TiwFSkxuLdRwsor/pqBCB0+nYTxg8Dux6tL7AY2d3AABPrt3B2TqYpFerBaZR7uzY4o8PLgIArh5uAABe2drAYhYkD8cN3CT2OSeYyOKd9m5oqLU2TqkTiw2CpIMo0qYpafh0p7wtrE7EXlQ9XyuhxMmJbHrKa6AlOdPfjd0wjjLc200EAg3DuQ2NE6BeYiegxfcqSE953hp/oSSq3O8CMJ3J92v19ShVljyBknRqAB+No6Yt1Vp7GKWr+H1fc8aRWOVBcw2XJ3SanyMBRBnAj/XnMBi73uErLoUaSJvNDFWc7NxVuDVbBQDsLUbY2ZuGMezXoFkYhF1QVnPSWNM6ZVqKiUl7yFdAv8L3JS6cCmYBoAA9hQvqb61Pk9gUXMOFjUO/ZElccxNWm6oUx0VVgQD21cvqa86xHDxxqFbDm8AM3NoPUX0H7QgjK2b2lbqN/y7wppUtAMBqFa9VLZ7bOgsA2Oss6FCQVRrdl4BYOtDLdArA1CsVTQO0FBMpbDy10p0hKpvX6EyHrCoEtSj225K80CQqIDkVf1PEX4SPdk6gpGcbZAzishVeu6lJtaM9BGmza5e4Zp66X3KAVfES2eM15hB4iJJJmV7myspFy57hG7FVAAF8pW0soqaUDDgDq0Y6EJHh0gG22mF9NcB0L63vwsRNfH50gAujPQDAzXYNbWy08wbdNOh6beWw4HFos7fZG0JePHRsS5tP9iSyeNTIUQB9LQVCvhoNashAAw10LDoVkgX5KNaRAuws+6IhnwtcvRLTswFSnUZ2LmK0V+KiNkrBiLXe6xgCC/hJYL2jjQXWV8JpMGtrzGfBKrV/fRXmMAyomhFuQn776Wlk25tBIvnqN7+Cb778NADgxXNn8emXnwAAOGpQ7RmZU7KsK586HApVSxvxtNgrp61aS6V6hO9wF5GDRFGqiEs/UhgUZfjUUZRiJC09AQKbp8JLkqW1SkVgkpqTMnQbJ1Bq60jm4cX4XKyHPvGXvQ5pryg1JwCe4j0tivFrrEK8Ws5PA66W1yLNNXm0Lixw+eI2AOBrzr+IRQTZbHcTfOF2UFefu3kOi72g81Dlce7cPgBgZdTiwmpQde8cTNGOoyrrCDYOgpT6DCaJtDaCMwridBpnlMr/JKohaXNry7fePHJf+UA14i67wyrAJUv8nPJmd8od6GsUGziJpb4qmU5SVfrWYtGEN2gxr9HvBGZR7VkB7ZAgM2kevwPgIiP43PW34Jm3nAcAvO/xF/HUI7cBAM/zefR92CTVTF54NqWOmZdAWdbJq7eMWIBsPQnTUQhHsMy7BJCpGAwvAKmw0e62+ZAXtaVgYvGz02Akw8oDQ0erD8qNuozkTfEuQGmrSeK16ahwOWY1Urt/HaHq714Pvca8NB69ZunfrBJVLKtCKNzIBcNJNhNZDrw8O4O5C2/wc7fP4eBGUGmrbYtRAnTVwM7VsCduP7bAIxd2pIFsYIMwBa/2CCm06hJIUIfYF3FCx6BBDRlooIGORadDsqAIcy4vyYUlcbLg7koluVe0YbYYq5BjN1YnisoqVXWAj1JGvyoeEGOAg71oWLrT5PD25RDjDBRSSXFSv3YG8O8Fz8i/vf5OPPm26wCAv/CWL+J3zFNhXNcnAglXapY2AC/HEwggCEAtBlEBOVFxUmeyIrKzimAkRxLXoTxJy88oTztJOU7wEaaXGBedVcoXCXYEGl3EcWhsBXGBt0mkI4LvkpzUeHTWswxGa7VBuVQtCi/TshYCZInOKmOnlkLcmNGtxS82W2yeCerDmekM27Owf/79F9+K5lb0aMwIExVBnOHsrTLYv9jgxq0LYVznW+TIB+UlTJHPgFzLa5DmrULms2fkPnAWp4NZAFqdCn8SJChKvRAhTFiJn1rUjr/VoKMQpCWbVlCQ8uL4kdLrjALJjH0GxtjKod0KD3u0r/IFNCL653EDoCrEpQCAi2O0c4Kbhmvrz1R40T8a2nuHw8ZaiBq73Vm4rTAAO5M8Blov9pUS/dULCiebzdcIWaMAGCq2u2wYQOmwEECVV+ngnHopLMPG6zq2Bkp1TK5TO6dCRYwOIXTrpdhfjEnZQ7Q6mmMttJrAJGCwRtScEPiW7lEaBCk1lEQcL1IFqpwebiR9mdiPcVR637SdJN3bEXgUJthMOli11lt3giu03raZGWs1IQQuxoNqzNm9axeE6jDc098ZwVwMtjO3sNkda2YoXqCsUvZ0tKpuAV4C2b0WDWrIQAMNdCw6PZJFImWoKuIyjvAHsxUR1bbayMXFqdWvKLEsGcoXKonISMBXfuJzv5OLh7i0uQsAuLq9jmr7botQYYVW49delWTy54ozmKdbAcZXww3P0ON4U1RJLly+hqfpkfCzW03GJxhlqScv4jxbOXnJUZGoRSQROWILo5aCOoe5yBrlaN4C3CVSiZ2LapPWTp+w4cfIbaRjSUORdXazECGqROQjsBtBpJb7vVI99NpogFIGZSk8CinxvTD6Qa2lAsSl8dpWpE4712qQZKzqzveYngtiwBObO9iaB+Tdc888ismV8Lq5CaPdjPtt7BXGR1QlcuLF61e8Co2XvJs07cFt9Ibs1WW4//JzRtiTOlz9T6QawoibG1A4fQV0UYhCJqj8EKVOmsir9G4FWEW9NL4WXdU1DK7lraGVsOrzayvYm0QwzKKGT24wlepNe0xCe2lsionEQbq6FG2TTjq5YvHiJHhJ/uxbXsHKWhAz9++kBBpRrdBzWiSLPxSDZbAGP2U3scS+FHEJ2uMEpSMzxG2otA2uAMrWdGWvUbuonyqXpE7TN1Leqdiir7mwMxV5F/KglB1B9Vmk5ytAeyjyPWSvEat2SenxjOKFSa5O01FW6eqYncupbOHdmrL3VIFJAMCFx7Yxjm6XtdEcL94+AwAY3bai4mi7Sk/wMR6EOqMdWzmbF/UqNmRGcHVYcLvWpZQacFMPu53c75R/q5P3QmVwN11pdzkODWrIQAMNdCw6FZIFxf+WwVc5B6GOLdAno07w4sWwVRSaUV4SXWfBjVlE+ZGX+xuHtY1gbJw1PeZdaNS8NM7+fl+zxKp0ImUUGamOMCIun4apjeqQMH0myLd/2F7GhcsBJk5v3sHuzWAUs7u2qEGRT0Yob4Eeg1LjwmcRJ0oPkpJEklpRl/dkaW+pToUOk09tZEOjBgMRSsh4ShKsIyhZBr+c3UxHphYeG5WhKzej0vKzZTHoLZ+gyYvAag2USsJWjKZJ2mAjqgcbwJ0JOssjj23jLRsBM3NpLHiIT/zBu9G8FEFWxFicU9JakiAcYBY5Xl6MySrEv/Bo9IBrwwRbVsZnEqmOXNhTQFC38xp0pcromyWvwmvQqWAWaY0IkMEbIPk3dNEUX+FIUFEQOeNiqQ2g32A2EkLtG1ZqgtxXNQ6ziM68eGYP124HV6dRG8lN1CZUbtesT6VpZLdk7EYHUSk1wddAFVPorT5b4c5aYBBvffQmDg7DZvMLk1+gSnlfyCHHNPhKPEUAJEuTsgEUev8yd1EbOAPNlOdFh/XrhMo6F4gwDgmO87XKUKZyhxTh8gxAuf8KxqvtF+n5gXNQl3EKIdoJl9RZqpazUGnK4e09ZXSpZmTpUOlXJG8Cr/RYOx/comcnh/net02u43/9o28AAFQ3RjlTu68JbJR+pWwTOZZEZezyFpLSkcUmwhao9qPHZGIKe06RJyT9VL0vsMKAQJGpvh7eECK6TES/TkSfJ6I/JKIfiNfPEtGvEtEz8d8zX24fAw000OmhB5EsegB/m5l/j4jWAHyKiH4VwPcB+DVm/lEi+jCADwP4O6/WUD7g7uEB6XU4ubLgL4vOReIcFR9wN8ZftQUAlkHRwLm6MsfGRAp3uJ1wbNcLqWCmuXgRvarFSECS3+iv0+eRzINrBsfoQTsD7AsBz/G8OZcT67ipg5mHx+UtMoaimsmiaRyC9jRo/7qGLBPrCFSVIawTCYi9nHg6rL8onReJPAnoShkj7eLovJu+YfRT5LHoqlv5USl8iYa5F1gMw3knm54K42VOXGtRwPszxqaWNRjtSEJe00sMSz7VVxxsBOltrB/gPRdDkb3HxtvY6YPX48c/802gZ8OkqBJPnGsgJ7+aYFmWUoW0W4ZPxmoj0o+zWr8E6l2RdlMcEytshVZD4CHw86Tm30fU6ZfNLJj5KoCr8fMeEX0BwOMI1dK/Id728wB+A6/BLEKDUMaL8LdOaJsRgFbmrutXFklXl5lCekEt8uIUMSAcFhgA9vYnmVkQiZvKqRR32tpcpGtT42dIX/e0IyRVxgPdSnrhCVWsU9u+PEXztqADV5XDbG8NAFAvZGpOBXrp/A0g5KerU+CFlynNA0iZw5yq66q9FKYlyZql66qa4pUO7RWBZlww1PyiKBQhOcXDqHxu2cZQiRqiwXZB1Sz7BpROHinXaalViHorz8Q4wEaxfnHBwcagQFJZ29MLBsMYT4KhZFz3eCXmKXmk2cX/e+2p0M8rE4xSnyNl76g5A7EAtfeIhHEA2QamC1wV61IxfDycqkOSXBwdFcjmlJLRKnuRzuDuRwxSNp3j0EPxhhDRkwDeDeCTAB6JjAQArgF45GH0MdBAA72x9MAGTiJaBfDPAfwgM++SghYzMxMR3+N3RRX1fOqqkze1FNLjh89Fun2DfMKXkYdySobkLeGzaxSnH3nkmnM2clkEaSIltjncb1BH33VRFUoZy3gJ56Alo1ydS+EXZHFUGzVnYE7IExquV4eENlq+N1ZnmG2EiXSmyieQUXgOHWGLHvAprkMdCb6WBDJgEVfL+ifKgKvUvqrVJyMK/EO+94jjkK2SMmipbZbLhSdAFfktaDnhTurDHPHZAD5FpippUEtIdi7qVHPDol8N3y3OuUKiAIB60uEt54LX46s3XsEr800AwCeefRfc01Hq03E4hiWW5FBd1zlisRS9q1UuLbjptYmX3FgM9mZOAv1WJSRglFSsPYlWpR44Jj0QsyCiGoFRfJSZPxEvXyeiS8x8lYguAbhx1G+LKupPXOZkjC9qYqZ7NRpNi/qkxM4lPVCHZ6dGuVJJd5cfRNzk/bzC2mpwTRzsr4gqARwZc6DjVoo2CQUyLwxGgaMgKhScZPDykHiX0Q7gnwmM685TFuPVoH/MWgPqwqL4kQRs6cJJpqdyMyQVoyjhqMKstW1gya4gjFHZMgwXlnWgFJdV5ZFoXxBdmdXzyz/RWg2VTCLNQ7dzT1K2EoY8M68CyfQe0kmGda0T6gm8EoMIY6zHaORw8zA+j+kKuviWz6+uYLIv6qquYaKLVKWUgMvzLgpGpekt5chgkrGnW+yC4EjWtfAypXKKRt4RAhXrp39yHHoQbwgB+FkAX2DmH1df/RKAD8XPHwLwL77cPgYaaKDTQw8iWXwdgO8F8Fki+nS89sMAfhTALxLR9wN4EcB3v1ZDAaIbubC2dquTRld5kvgAMYICyppuSm6dYLtuIhWlYTmzbqoYzTSK+G2Fg1k4GuodWyZbOSLZS4EVIDlPdfWunOa/B0hXBY+rb1sFWlJgHBDQ3AmfD5sxxm8P/vzJpRZ3bgWx196p85rp8olsWeIcPBXeIZEy1AmnjK/6usZWsGUxPBLEy5QusUhZRTU3tRT6cxGbwEvLdYS6QR4FCC4nElZzKozkKOdkVF7RTEaiUbs1LtavnoQFfPx8yHD1js3reOkgIAF+86W3YvFCeAbNnslh6b6WveorkSzuMrqreRe1UbRalsL3VakKLYEZFQ9lVX5ZcqqY83Jyn7ocyP0oIg/iDfmtV+nrG++3vcJjgLgQCtSkddj8MnmlDygmUmS/piU1Jod2E5AQnAzMYzqzetrCJACYylOgS+HpdG5aLCQ9DxfEdj23EDae2pCH6JUbFTVAytuRROTxLcLWubA5n7x8EzujIA77Ckj5gnXdFV6WGVnWLHsC9PysWkrFtEHK1bpUP7UoiJP+zYshthed28MrC3yonape+KyXEzTksqx5ol0DuOtzkdqAcZd7N5NWUxMR5yzh/dShqssfOyZsjoKKergzwfS2iW2oQ4s4P3ewskdAmbNIVOPQwN3DY0BqvPZLVddTV54zU+gnZS1cXZ2+iKvSi6af1zFoiA0ZaKCBjkWnAu5NXKoZQDDooFaIAAAgAElEQVQ05cxWnRJplRGIobimKvILppywxDdKdGao45CBFN47djBNEEtcZ9HthGUZqfHoalQFfLpX1zX8HBCYcupReRB8o2JTas4WdziCmaUTSyz11SGhuRKOjlcmm5jG5MGHxHAxOtXMTKF+6bodEt+BbHjVyYDuymalwtIL0p6PPDH1tUrKU3hENPQ9XbbKeFocW9qoimJd+5F6+GpIRXFmPdzkjZiViWuSEbK92MvaE9CvhYbOnNvHnzkX0i+vVWEzPbt7AVduBw/I6BXRf30lzxKWYWIaAp3Ni0kkYtNSuZ8zrFtLrKqMgIJlL5dw7GNS6LvSOJDsp6LYuA6HVx6Z49CpYBYAJMxY6WwJOWfnVKRjy7qZjrVwElIMsNSOEGk4iM46bHwUF5oBE3H7k2mHPRdhhUqs12rRshk5PwAu82ioItvSvzIS0BGiJUYePr9YNue/8I0UtuFnp5i9NXw+s36IW7ujuAZ6TOoFJEiBm5Zy/IjTSYAhjMEuyvqpKXkvqZc26L/I65TmVwTtFaqBvEDaIp+fX69EZ5V7orBHACVjTuqdUfyEVfh+rV44lUjXW87uRLtjsfH2OwCA7Z0V2CpM4E0b29htA5L28XGwWcz7Cu5K2BuWkHNShITPcewzA/doAG75/Qr1Tui0Ww1qAxCylBsV6p/RrSxrCaK8f5i5UCty6gaVfqE963KC6FAbJK23AOzIaXcL7trHr0WDGjLQQAMdi06NZAGk+I7kAJfrCaMPlCcmER+Zjh6mjAnIJ0qzhLPwIn14FxqazQGe2dxOxhIpoFDBjUmkFW0k1MYjUY+UWqNORnOo1Adrs0QFHSVbIw/GLgj99XDq7dcuS0h+bGD2k+dFLOhs5bTVCYMKGH0tkoNnCc82SsrQoi55CnkfodbaQODHVlQfXYqSesp5Jr3KdEasI1Apqwa63of2iukaKb5GKcVotTOL8ip0vQLcevix3amwdTsYjnlm8TVf/SIA4GKzh1lMi/Urz78TAOC+sAaTVTWRkIooZONhb4uK0p4L/VTbtlA9EvhL4ykAFXujwtLJE2w2XJfqiSu8e7HJxoPjw3SNrKtpldrpCfcjVQCniVlEe4JeiML1dkQcQIliKWMHcsozVQm9ELuWYgjcIjAIrpHzC2gRmLUBW0tyikHc5R1LTCSPW4v3SicxnFGe4YFGdaMSfZMJ6OIGq/cI9W4Y4/zWBHY9vEH+rIefh7fVetk8y/ps+fLdrR4UrjyjkH6Ft0NNODECvfFZtUOK6VKpGiSiXnlMKi6ZtOozW/yJYXRgVupWg87UEhf2oophYulI88Qh/I1YdLb2+OJWyFg2Od9hrwtrOduNiZpJVEFfM7pNsTmlQlPGq8zhFaOOqRh9zTmwkK2q74KSsrphAU6Zvns5qEJtGrnXZu+QlTXrqagPokGMNjOgJfvRMWhQQwYaaKBj0emRLBAlg+IUSaIoFX5mSX6jjxRl7fZi4GYV3hsuyL9UhePWVOIx4d4UQBo5EZHvMcqQ5ytIDAhKMVk8O/Hfhgvur+HpGe7dIAOPiCHiLaRPDfiyBwbVuWjBP3uI6z5Y691OXUSOZmliyasjIBANP8eRRB1UQp3SmJvmURR4LvAfcjKmPkMpB87XkySmq68VEqZWK2olgi89j5znVCXdDZJO7EsZy7uDGpPHQ5nA/+ytn8Mze6E+xxd3zuPl58PnlKiZLbC4mCa1vDiQOaXnOieRcpzEKLFSAZYBVLqeia6wlzOzqQLW+jMg62RnJifdAZsiobRW6Qtw2jHodDALVhZw9XLomAAoRnBULAbXqnZEhcItdNQDgKOs13lm2Ij/LxL3Kut0Yalm2fx2rja5RpOy0jlT5XFWdVfHLMlvPSElUXJTr5LrqvwKeglUCHm9azKgjFdnWIkpAffnFkjp2kis5qZXhWx0MJOKmyGVeUo/E6/LCGqvT1KhOoiNhSRGIhQ8Ur/N6gkXaNwie3klvy2ykilX7lHuW52BuyhEVCnbSu1hVlItQ8L8MPxgrx/j6889AwD4uWfej9EtYRJhYMDoTui03fQZDWwPTJGesIqqSqjcHtd0UbpLpVymhJOn3+fPiaHoGqxaRVRZ2shLTRrNBDTqNXiw4hpUEdH8eoeoDzTQQH/66XRIFhTFVi3GVlCp0JdEUfW7TEvXvUqum+/TIdRahVFJTRaLCn0tJ7uOGM0SrQG6dMpSWWU8lxcYizdAZy3KlahmLOrJSNU/OTR5vG7sJR5lTrkamB8x3DjePweaK6GhG3YD0/Ugf5qVDoj5O41K9hJOZ1FzJBEOFQZAKoycsq45C5XKNqXh7LrkQBaFVVxNyMIl3hPOoCUoT0v5W6QxLo2lGF9qRxlW/UhluaoYdKbNP338QsBOnJ/sY6cNBs4rh5v4rVeeAgDsXVtDrXAfqZ8k8dQ7JktmGhfixox2Q4zYOsFxemZhX4j6VapK8lkbJmWy+aeFFOIbhtHlOXPkKxfGTp0B7X5FhdPBLIDMMCTEutyMGbVGKIOMlGU/IxOduFRZeUOol7RlIcIs/rYKldEBgJlUJmotpnH51FSqvtSXgdxSFB5i+Y3UH0XOTk1eUvb1Gw42gmua2xbtRph4t85otpIqIUysX+WcWq15vsHi7WFS587u4+ZBnFNrM9ArrA9krumih6A2ubQbHBVfUdRpOSpEXwcw6Y2v7UcovQtHeW90XdL4be4r7w+HYuObbL/gXJMDANCHm0bTFnvRa3R+so83rYZs6s/vnsPhM8HmM94ndGvht6TCw5MqYxcEE/P0+kaYkhuJ6mHm4hL3FfIBZTtRL31VIo91CgDttSo8S5DP+aOjfEDqQ9d0KsCMlarHCJnvy8fxqjSoIQMNNNCx6FRIFoxofLFLp3ckD2TA0D1TupOcWrp+BeZGYjAq1b7nglX2bTRmzS3qVPx3vCQdaN+/qhCeh6wjJ3s5AsQoxSJBrPqc77E6MFkd6MnAbYQ//AUPcytKByPG4mwE+OwbMZCNOdeLqGYEfy3IuruVQ3M2GDvb8Qi0FdqxupoaGE6X9EtrrCz3OpI11BORk335OSyXLjQ5OpcLkVmrEtqomSTAfszgVIxNSWMhr6f8VkuYulJZMnAWUPGxQxXjfx7d3MO4ChM8M5rhhf2zAIAXn7uI1ZtxXS0KSHZqL2NgCJg9LiIXqdopdi8d6zJn8kCqFucakXyNqgGjQ/bJlJXedVqBJLl4A6l27xVmZoGiDIQe//LrdR+CxelgFpnUTHSGIdZfqaS7y4wjuypVHoECiKXT3hFyRm9uDUZrQSfodpVLQwOCvFizi6AlRgZreYMjVaRsse6l8revbBYP2zMO1UEUkbcMXNQ9+3UPfzHqKtt1bq8736O+Ex4dOaCLqoobGzTRWj9vplh9PNRpXV+Z4+b8TF6k7GHpZIxupKVajSRcUgPSBqYSBJfmrOM7dBlBjbBMMRKadHsaWaqLMRVoTgPxThmI61u9TKyyfBEhP0wihomfPQg39kKdlmrXhhKFAPo1zmriXfVHEBlHYtirogfZXbE5FeNl2ZNsSPaJYpjFOiv9YDm3S1K3jZO5mpm0aRzleJ4iZN8Bdikr16CGDDTQQA+dToVkQUARWp2vK6uvNvDohK/5lFdckqmEe6usIyXHVjgD54RvZuOQSr5a4CyAouRdvua5iJaUehAy9kJUTKfYCtBHY1q3wah2o4HzuoXbSxh/MbbaXYvufBCj6aASmHTj0a1F1WbP4PAgqCR9I+AEP/GgZJFcAoZpT1Q6BbUv3nQovCEi3qaFV+qAtuwbletTGdmCKqOMb7nCGWVIMxvxGhUn7JIUl/EdI5bShCMRDc3IoYlqSOtsTsr83M1zcM+v5jEsLhRx3uH/CdzWi9GTa1GPqq2qCBvXqlXGfyxEtQNpyYnLOCZd1DkbPtWIomFSRhjVoqqUYrKjwKPweOl2Xq1K21F0KpjFkaAsQgmIilQwDsgmoU65BHvZwEVwF1C6THPQGsG30qiuPZH77lXIsEGhu+fNr/iSdp7opEhOAZvSQ2y2jKgkmx5uJaoVE8reAjunUD4PQHPHoo2cxo/EZUYQ9OBoi3CwHu5x5xxGZ4Iv0jkDxymk3QoDUkFGfoRsy+BagFMgQi7bTSjcgmldtOdEVEFh0ssgoJzvwTJMQjv2AiIjJphWfptVPn2oAHDR66G9XwBA8VlOpwt89cVQoeJ8s49/d/UtAICDl9cwjt6kflW8J/bAZPBa9mxZFFXkfcx9QVuV1EitlHqm1qgoGsSQ9VhGYHL5QoebFCNXNojlEHNt49AlGYt6tomvVxzUobtNhPekQQ0ZaKCBjkWnQ7IABNKdOKUC8izDenUC0nzZApxEWgUwAtTJoF0XyrJOHYFNjBrshBPzUgj10QPXYrWkmycVl1CoULqd+LtuhfMpPLlmM/y3W+fsOzcdodoPPzh8ssPkpeglMZTDnZmRDahuAqy+EB7vYmcF/ObgGdlYO8SdiL/oNxzMPKo5ytJvFqHvNO+jSgoUeR7TVzoBL5Q61yOvO2sjM6sISqtL96Ewyh0FQoJF9nLZVrAxbq0HxwhiqKS7F1YP8Plbod7VxmQD+zEpc7VvBM5eS5Som6gSC7FLP/LgjVgeYKdCtR8lt0Z5pJbqg+h9mL1yKpK3mJ+OHzEosTppyazCwJDazi1gkwdLe+J0O7020tN9iwqDZDHQQAMdix5GRTIL4HcBvMLMHyCipwB8DMA5AJ8C8L3M3L5aG2yQM1zrU+oo/IJS98oCLqosACtjYIEN0KzRKX3NQNxR7d2naLqHlaFSGz6NStmejUhU2jWA0r7q1aljevk8v+Czvt7cETect7pWp8HibNSt52XQl7afpDWrdwnzGzFZjvVAleCRJMhO7Z9mZInDtOqUIkiELakIW3WKaZuTuLK5TImv7vcaWq9sDSm3JDmFunWlkZATZqVmkUQMg1bDTWc3D/D4WqgV+/b16/itPtgpXvyjR7H2bEpBByzOilExn9RzClICgMX5MJZq16LaF3Eq23vmskZeJ9mxKGxkCRNhtOTLkP1RCe4lzT2RNiJnZ4ARm51ee1qIxBYKQh+xp9NzeJ0NnD8A4AsA1uPfPwbgHzDzx4jopwB8P4B/9Kot6EGrf7Nh0C/dqhY6e0xUGxpaC0DCo7V/v+K8OdlyzjZFsNLfkrfgbpBV+ZAC3F5bs5XoDRQZnUKyGeTreVj7lDdAP1UZq1rKadzrHYP2bOKUBqOY51EbXtkwfKwRYRehXQBot8agSWiUmUCRKXDjZe0JuSK3aSVzl854xZbBCa/RCpPR1doFzKUcQktqmE4UwwmazZBIScuBsQNAxXBTtRmiEc/UDnUjoA8fn+uk7nDtIGTBar1FF99EeyhpCNqpGFPdSBLnjHYJs8dDmzZiYOodykA9P5LfAQLgKzKgqYQ+hWrVCdPzI1aGSSypvclIWRqO88tvuEjIxIpJeR1zk3AqvUouZbj0KB2DHkgNIaInAPynAH4m/k0A/hKAj8dbfh7Af/4gfQw00ECngx5UsvgJAD8EYC3+fQ7ANjMnNn8FwOOv1QghiuIqgEhH8gHIR1Ph+VQ5EMDi+jMOOU1dmKH2vcr9OkdGLgvgjjagkpecj5rFslI3uAb6mKGNrVdShJzwXkkNOceEytHQrwh60i5IkptUUlCGeuTotW6dc7q95g6B4qC9MoSRA+qUm7OrMI917c16B4o5IokYrtP45DieygvS1ZmsilHF4JgYsosBWpjbwjh8VM7SUARa1pQn0WDYOExi5K8xnKWDrq3gU0U341FFFaquHDYm0R3MhDevhWCwlarF9XnYjo+M9/Dc3jkAwPO3zqF7KWArbAccXkrGcBH3bUtottJzQA7oq2Ku0X5NYNogRrchbUDl9Dgq8K5SqoprRIIpiwbJ/aTUk7BuujUx5FcxOpeUKmtaAJPUMcNXcd+QQuamkAVtNH4N+rKZBRF9AMANZv4UEX3Dl/H7soo6UHoWIOKWjlQsX2ClteiMSh5F2voyniAudMXgDJqSRTOqPF7hglYPz1fKk6K8BbSA8uCoYsfxQVsnumQ1N5IIp5ax1/uEfiVcb8+4HD/irCTgrWYk6e4XyLiM2QQY3ZbQ0QRm6lcUbsEhp4zvJw71WAqHmEqJ1ZF5VlMR77niXDKBmdCMA5ez8dpsXqM7SJlnFBCrN6JKWBbQVG+AyKDYMrpY7Hll0sJH+ZqaPl8nYjR1GM/aeIE6lmJbr7qMYdhqJ1kVvDpbx52DkLq/nVdFigFtR8oHEDEWIUwEfsRobqexxWlMVMJnbUejsipcTh/QIu+rflom403AKob0ryu3LeEHlc1CvgjRwVEVU+GoRR0eptKLlNWQ2Pt94CwetNbpdxDRtwMYI9gsfhLAJhFVUbp4AsArR/34rirqAw000KmmB6l1+hEAHwGAKFn8d8z8QSL6ZwC+C8Ej8iEco4p6gmeTg4i/E5Z0dLpykkf2G5tOuKlpIRJErYQJVtKIsvizByjlZGwBJCmg4tIXrUVBBTPXGaQTZNn0Cs7dIlvT0wnRT1UkK0vh4npXDGdsVQq8TjI292tORPNNBsUTuTqkjOB0qw7tWbWwCtHXR4s+OpF76aBCtxBJhJI60VNeG2c4R2uOmx7jeLJv705zDhCvEZMqOC9T5WWnadFQVyTrCV1MD7jbWayvB9l/dTrDrA39zNsa2zcDNHu2XsNHiP7KdIFpE0S2w8UIfYSzV8ZjZyuoHtitxBPVCMQ6iAU+r5MEgRFmj7r8GYiSVVIFNXwbSqJUUHlfi2qskcd+Ka+olqaLAkxayk05WTr57EcovWWV3JvUFp0tXr8L+fPr7A1Zpr8D4GNE9PcB/D6An33NX0T7gU7yWh2SZJKqRP/1Ey4SpmQgkYqA1O6nuyLedWxI+mjE4s4VcvVqgtI/SUA15EvXlO4rP+yKclKYPKd9oDqIL/yqMD03Zox2xGqexFhyYuEGbAZo8YoHR9G/G8mmormVHKKWMwOER05DD8PZi4C5lQ3pjVjoJyzxB/s1+riI/bwOuT0B2PUWLoK7sopBDLvWxbVg+PQ9fOElMTHfKTWAj0zPjFwux+BnFbYPgnNtd7XDympQzIk4RwcvbiWlHNi7MsXORakmzXGMZipFUrhiUCwL2a85YCKGBbNT53uSVwwzC44eoWzPWlBW+cyhQRXbs3N5+dt1Lm0HhWoQ9+1SYiQNT0/7h1RJAV1Eexkenl29npAUPzdW9XT0eae8Vdm1/TqpIZmY+TcA/Eb8/ByAr30Y7Q400ECnh04F3JtQimWJUj6BAHqJorbOc1GJmBeCmJLXQcRJnTW6SENmGBTFT23/8ZWRwi0KB0AORSq0RHYmrNuNuPSGpBR6OSW/pJFrtgA/inNqkPM22gWhDpnp0U9UDkkD8JmEjSaMYmEhaz0Ws3gyegqVwBBObDuSmSWDpdmuRZTW+BUV8ciNg42GTWs92q0g6tDCZI+MvT2BuxjuqTfCqW6sz6qBN5ST73hn0HdyJHK8h5kxXg2/nTQtdhCMkW5uc6Gn6uYY++sxe/nYgRIWo2ZQvMc4wL4U8412lPN78IEFrySxTmE0VJIlsh7NE2HB+86ii3VjRxcOZS5e9AS6Ffqp9ylDvH2t1M+eYA6Qr+tM5llqcGWR5tJ7kiQ9dUVF1RaShZNM4joCO3jRxEOXclto2P4ROaZek04Fs8jxHqR0P4IKP5f8gkE9iZPfkxfVV8gJTcAQ99yyCzYxEUYGtJjKS+m+saoW5QUwQ0SSxEa7XSHjrFvKiVL9qJwLEJhCevm7NXFn6spQ/QqjD2p5qPyd3MEE8FbYyLzao5uHR8cj2WncWok2rHwW8bFTg1IltImHSS+uEkuLaNiFzQwAAExERNJ+I27EKcMcRLVhJTK9toKNDNjNLPx2HO/EZcbMCqwGT5htBe66GNfwszAne2BQp9D8CWfPT98QWKlT6eXr13xWm6pDA3uoXoq0TgboN6P6szBZ1eTKYBbVFig1hJngrk3iGnOeB8ahjY4tqr2kDofkygBi3RBRywTRK/Y1DVgLyWzy7fIMlIpR5tpUf2ubA4kdrToUJlLmNl0q3H2fboUhNmSggQY6Fp0OyYLkdC24qRLhMqBlLNmQNffV1uYiLqGGijpFwaXzyesJprm70hSTqDbEUpynuMdyqeao1HvZ150Ow16AXVzpdO2Sus1NpHhNPzGqyhRlv383r8XDsioBNcRQKfMoq3GmJRVDIBb92eUun6RV49AfJsSYwfz2JDdqV6N489gci2iENNt1No5WzwT1oVv36NNaTxwQjZ0EFJGg2cBpOCcg8p2F2bd5nXLlr5U+F4Ci3gRsBgD0BBPbt5XKf8iEbhHnsVNng3J9IBsqGSmB8HxTHIyvGbwa+nIvT6VMQSORphkaPmG05+P1mTwnp+Db5JFzcYS1L/9N9+Q95kqA3lG5M8mVsSHuiAJFphcpYznWKdffrQK86H7UkdPBLID8opFiFmVGJXU9/UYvOkMCvVQMQwH5BMRyr2Wqzoj4vpAXWoNbyAFoNJeI/xglppqgxgCBiRSJWAFwp17mFrL6JG5WX6nq56t99lz0VQWuovV9RnmC9bYp6nZo63ue8liYbXfWZ9Qk7Yva4h3lVPmAoBe5ZknMVDHG60E94ZU2eyT8KNoXZoQuJoSxE4dmHPOadhZd8iioItDWerj0wDsBD/UrHmYz/NZ3Jtd0OfjSWg6CMwc2u2d7AjjaWEztsboZcvR3KxXmd6JraavKLxbXsh4J9Ba+IIyuhreMekK3Lp4RIDy75OIOAXaJKyibRaeQs165LZUNwtfKa6ZeYEB50LRbttL3k9TTUZ4UphBCH9ov0//r2J1UD4aVCnpcGtSQgQYa6Fh0eiQLoJAgqIdSQyCitlPinPKG6PD2Qt3wJNzXiLhKtRy9TB5VhC47qiU9n7JC61gSLTVUM4DnYpHmOn1W+H9lhM3w3JFIHG6s75VxmR1d6SeoKABgFgajPZFQtCdpcQ65/wQbdxOfY0a48llV4sbD7IY+TK+NoJyjTrHWwdwOOpJfcXJSGwAplV2UVLqxQRMlj8WtCRYp2rYzRXxJqsHaLWyW9KgVwzXXAitv1loc7MY+PbIHhDyAeGLW+wSkMdZAtwgSz/yRPqtZ/WMLAYoZgKJx1nQ6daEkD+qnQPOiSA4A0I+Rq5D5SvAwRUFjAuo9ZWDVxvVIRgGrdBhB4Z1SBstCVVACjekBk7LFN4ID8iPkZ5/mle7X6oxt6b6MnKeCWeT3UJwbd4GdjmYEqpEle8RR1ao4dQKA1QZGR+Ieo/Lly27RseR2DNmKkrohtgHbIlvZAQkCy6nkG5YHWkk1sFB1S1xd8mIz6l3JK5ELExugi8BEU0ugU7cq4+pXGX495og8sEGlAUD7VYHszO7mOdDGvA5Y7YCYBYoPq6zHw5EKZBAre4rvMNMei4jCtIcGjkb5sz8X7RfWA4fpLRAxnY24lftJn5/HYj6SoMDVPjMX1xAovvztBvK4qn2DbjXaYXYsKAXcnXWhpCMC6EvsQiwMvDVK1xebUrIR1Pslg8jZuRou9mu6x7RyIGjbGXkSlRlK1b1HIJlToetlsl/kd6A6DKUgQmfiJjUqk8yy2/V+aVBDBhpooGPRqZAsNBWZnjR59b3yhpCCGmvuKwZOZRyyrE5GZEu83bfgw8B2xzelPqVT2H6MBOjirZKAKrHoh9MmNu+A6i7uTejH4d52Q6JCyQsM3HTmSAOrnSNbf7sVsYL3a0C3Ecc79gJCWhg5dS7M8kntOpPxEUQi+ncVcuZqfyCp7WGh8BQOdYRb963NnomkGnA7EqdEhfycfAXwQjxPOdHQ2MEnL4kj9Okknwh23+3VEptRe9hV8bCkkHo+qHIkazd1OVycGgeOxkkaO/jk7fEilXDjswTRqryUo21SHo44GD662pmOeA4lEJKUSJL8S8n72uBMXuEjZsp6TyKR+kYKLBdeNpW8hgm55u1oO9fELlX1JbpfYNapYBYEEbuOBI0k0BZQhAaXluSSCqaj7BeZVAYm3zDsvuSz8MpWklq3M4AqxZiSimEBZJcqZRHR9IVzIVxz8uBGu5TRnv0K5yGaDkUq+awvT8u5ZVGUVMyKIyAxgrMt+HbYMV1rMH0kwAp97TD3oWNamOxtCVW4ozqxMKLC7FdFZqZuL+zg8Zk55jsJgRaZ7kIWrN9w2XMRGLy0kZiBsQyqw4P1THBR9fH7NWgsnDY9G7YEF/uqNxaYrkX7SO3hUvlJT6jj9W6nybEqXofJNz6n3uP9GvVODNlf9TkrVqF2pmewwpmpEyMjOM2Cin2Y1CmQ8o4Z2cNGlZBkU5Yu0AFpuRRBbEv+iO048QDqouJFekXVpq4NU7xTx6RBDRlooIGORadCsgCABIHVsR6Z1Am7nBQk/3zp/iLhRyKj1JDYJwCQ8vH7Stq/Z9GchfjbYVRfJFzcq9NfJ8HJJxCL6lHNVBYukj7JS+YtN5FEsG4ixXBAwZAHAG7qYWMkpNuSAp32wGJ2LWDI6/OzfNpiXVSo8aQDxYn3vc1xET0BHD0mdGizz37O4yz6V49EXMOsBqJaQdM+t8dzwXOAKasD3hMQjcx22ocoUUTvSSrkrNIQ2DnBRmi235ni4EKYh6nVQ+oJ7loQw8y5RRYLqtqhj4VM7e0aFGV/iwhsQ3g2/dk+NsOgqJrauUid7abgF3L080hUYDuX8HA2YkA2XamiilFTQgTCb8K/vuJiTycwmNUGS6WqaDBXGRqvPB5e9mLYq/fhCsEpYRbZTURcVBXTZQozAhFyfdkbotPhFbU6ckfyN9UesPFhM8GkimRGtBUds0GdSICmDSIxECt+J1dWB2hR0KgHBsQHHXdVu+nRxkAsWkgshJ2TWNN7sU10a+J9MAvK/fPYwz0adhDPLfpp3DW9Qb0RfGbdTpPtCu7lKVrPwPkAACAASURBVHApiOnjcYd5zEkx2x1jsj7PS+X6FHhW5Szads9InY/aCogqbrrRtEOXvDoHFapUg6NhkImDV2BLt+owuhb6bx8hVNFb0awtMI9ZtLkn0SJreWmqDqAbsf7JigWdkTXwKfx8VuWH6WoPioAx39cYbUVPylkPniaXRQCTAYBb2FynRb+oUhZT4mnIAc2OqCfdKoSS+3ikYzcoZ2lbVhdSm/rQ0qkeC/fqclrJZKOacXahh/wX6rcm2dfi4XMfdotBDRlooIGORadCsgh5LAE2kqocNURyUIYZtpDELMuqyhL8u/gu3a8MRSkS0qw79EiuCTkxdVUxb0lCzRW3BpOc/jXnSFLqpapXlgha8d6sXDFwESY9e9TnKmSh/omoOLlKVyWBMH7NZ2wDDGPz7H6e6mrMGPWlW5vobwURZfrYPg5vBmAGswFHANPBmkHVSJzG7E7SeQTYYjxybZGiCpnGr0SPQ7dbgVP05UIeBtcMxFOdF8rQWAtwrL5Vga6Fxh0AE9ejPiAJ04cy5vaCKYEniRkB0MS6rn1X5YQ6ZkcMtW7Vwb0jgFOICeOoxmyszHD9hZBqbPJKhfljSxuNVEUvB1if1EhRB7o1ybSmVWbtKfO1SJ3VvkjN/bSUiJMhtD4QvIQbK49Mxfke3wD1bhzDivLcrXAOJQjjUAZXj7u9jq9Cp4JZJMtsEZarXuxiUrp+gm5DW3ZV4A2WFyQ/SMqIRbewsOvxaWxPsi3Ba5RnhZxZi5XKY1oF1Kk5ey3IBfcbIFZzGB2iTqiCqo/JNVOoGxk9WXmYvfCI6u0K3WYEG92p0ce4BW4YW9dCVqm1i/vYOgwvfDNucbgagU0vrCXpM8SxJJdx49DvSoLdtE6jO7ZI85fcjCH2I3oAegGSYTXrI7msopuwvORjn1Gb5sDCr8UArO0KPjIX6i3q5EUwABIyUSVHrvelVCMAjLZDm/NHXS5TuH5+D1u74SFUda+8BVa5gxmc8lkAOR/I9ZsTUFRJZl/hMHk2GBPSWrRnPOpYo6UW/hwAZfP0WdZI50DRQYYw4nHzjVzPqSXTb5MdghUTUXvZq8z1ZkEY7YXPh4+IC9i02lumxhyrrt+P+3RQQwYaaKBj0emQLJJBUuEaQklB+T57LpZ+VyREVR6TgpQ1OB+xLpwCiaoqxTcwXOTo1UzKzPESW01cut5HhmcHuHXsSiXRyaqJ4uxuDMwekYQpPqsbLHkxnYWPIKv+Qo/m2Rjz8EQLSsCmvRqTR8MxNztsMt4AhrF+Jogu/brBfJbqAph8Co9GPcw0HOHnVw8w78PgvzQ6k70a4y8JQEt7h6oDQherxaRIzeqQcilA2wJVwiys+KyWcM2obsd4lC6EpgNAs0WYx6TCfiRh9Dq7k1PG5O6cyxgRGjtMY4Tr42s7WG3CnK7vrMFcDWKfr0VkN10FH+NuyAN1hutT1gnaMx54d5Dru+tBhWuu23xKt+sC9+ZKcDd2RpjciNetqAymR5YkmULhagBYnFGYHQXuqncl2ZLppR3XIMP+teRCDHTTZLwUSUe36UcowiCqBR3tNbwHnQpmwVD63VFikdqkbJbULG1NTp91G7T0d9pg1hfXuza68yYOPaQOpka/5YSrNXKor+kl+IhJ7BfOqMCoZE2fK1dXL2J0u+klGe/UiZqwY4HoZnS1x9n3XQMAXL2+me0EzYXDbI9A7VGvRITl9Sn29mJ8R6O5FKGNgzCGMR2HwXsmXF7bBgCsjRZ48XbQ3fvt1czsRnvAPLr55hdd9hYknZiNqF7dGsPFzFSpTgkQXvg+VSKfGXHFnvc5I5auHWrnkovDNaKS2EMDfjSMnQhYdOGmz3/pUWyuh7dyttcgJiNHsyM5J4iB6VXZRd1anN8uY7GZxmDQxmJFiGn65k+2OfCOSQVodWJf0EFlYFElTC/qKvTBplzsUO7YkAsjXlYFozRjgkHOH9JsUVaBuzUu3LTZbqLUmVxzZFBDBhpooIdNDyRZENEmQp3Tr0Lg+X8VwNMA/imAJwG8AOC7mXnrtRsLLWgASSLNralXzFB5QHTMSPoKiCJYii1Q6oytPapoBbfWo10IUCglEaHeZCyGaRUgp5cwZJ2unxTQys6Qy9slacPXAr7yjZQdtHPlBYIV4NalhVQGuzHCrVdC3cGqAqavhB9Mb1oxTO4x+klUVc5QLowMGHSr0RMwRu53vjCgCxGI5Sx2o9iwtbWKyUpMclNxiOqMC5gKLI+2bT6lkurhR1yojpQlMXkw1JPAxwlwCRBlGT7GzdRbRvKTGsClSNo1n9u0C0Ifc3z6ijE7kK18O+bObPYk/HzlS4yV67H+ybWDnCfTjyWp0OJcjXHcqa4h+JejlDQN3x9esliciRLgiLM06MZi8LSH4knyIlAVmAY3BtxUvBI61iOpKrbV0gSKGJC0mgQUYQe5nCIr76ERIBc5qZyW3537kCweVA35SQD/ipm/i4hGAKYAfhjArzHzjxLRhwF8GKGWyD2JEF5q7fXQbjpAFoVrJdqprERYZhZp0+qsRAqD3x9WcHVE5lnGZBqzOplRLuBjOikTGF6C9NIjW+XZyOYAiz5pWnmx2k15IZLYHYBm8SVYUcAZFa7u9uqMcOQn5vBXoiv0KqGaR0azYFSHLrZPmH4pyMbrn9lFfyF4Sdy0wv5j4cVanCEJtGKLxTwV7ell/VqD+a34Iq4K1543lNGMOtAq51QYIXty7IGEe492KdgA4hqkjW/3DYwqX5g2uBuXaEcR3ym7kh0FNQYIyNo+psqr9owwcg+svhKuT2/0mXnOHltBuxZVzRqYnQ/tdKviuRrtEMa3w+dqFv5dfVlc3/OLLOn5iNHGts3UyJ7RaoX21pFc16nxRttK5VI2u34se8U48cfqzGj9KudYkuqAingQ/R7ds5bwMejLVkOIaAPA1yMWEWLmlpm3AXwnQvV0YKiiPtBAf2roQSSLpwDcBPBzRPQuAJ8C8AMAHmHmq/GeawAeOVZrHP9LTFnl0aReYRyMEr20x2Qpy1CRhj+d/JUHqehATpGKAPxYsutmq3kr4BYikmroLVQWKolE1NGV7abP3oB0inQbPvjVE2Xsg8+VxKgSwFV1q0YVU9nXe3I69VOgn4Qf777V5BPTN4wqYgzWXphi/aUgdk+evYXxFyOM+dwa9p8M0sT8rEEXsRjt+iiDnNxEMndRSzljGVeSvGd+QeJTNACr2pUyAylcvt0wWSIwhyZLH75GQH0BMXGuUjFWk+ohRzKpkohspUQAdcDkS6Hfeh8y76sz+JGN422yt2B2wWD/zVECunSIOqqj7XwEF6uTdZvA4TsjkCw+D7tVYxpszLAzAptw3U98rnDGTBlzNtqWdAdgBf+fSWId36gyl16pLjUyUM/0ItGwEQ+InQW4OgB0KwzaiMZt0+Q9TA6yTgpkyBZglQj7OPQgzKIC8B4A/y0zf5KIfhJB5cjEzEx0VNgX7q6ivqRG6IzGgIhPple6HIQPmE7EM6drdmhRy0kyXLIsZfw6QruQ4qX5waj6kV4FoNm5eEl8JWJkvUuwSUVqDfq1cuqjbSOFacaq9OKC4KJDg1uTXz7iwCQAoDpkuJQwmEs7ATfJxiIBblv/AWP/TWHwo6+6hJWr4Z4zn93OqgrxGK4OC1TNkHNtVDNpp1sXNY6YCqacQtp1eHbONq3UBL+qckywXNcAsdCgfEwvUL+G/JBNS7nIEVsU4f7JM2Fbxtbbomu2Heff7l22cP9J8Pa87dxNnGuCceArpjfwjnGo3T0ih/9n7+0AgH/18juwdSUaaxIq9fIB9s4E9ay+UUu29XWCi2sHlb2KDedNzBXQqbKUmXH0YvNq1wVt2U9ELWOCJLKG2IAsE0Z3YsDfGqObRLSqFyAWGwJ3kekYlV3+PoPIgAfzhlwBcIWZPxn//jgC87hORJcAIP5746gfM/NPM/N7mfm9dmXlAYYx0EADvR70IFXUrxHRy0T0dmZ+GsA3Avh8/O9DAH4U91FFPXs8JPJaDLUMsQYDhWiXSQkw5NWPDZcsMVfD0r+hkAofQH27KhP2+gSAEdyEG8l4qgM51fxIrNnwIv7lTExnfG4DBImOVFzebldZfdFhx4tNyrEmq3/2Dv7W234TAPD9G9ew5UKnT3cN2qgzfHZ+GVfbTQDAb996Cs89H7TBra88gwufDou8+tIhKCbCOTxnYdbES2FUMtx2LakELGUPVLFqXfk7z8WTrNFWJTVMHIm6o6z2ab3DeglOoNqxRRKkpNLVB8h7xThgfCf80Wy73M6tr67x2Le8BAB498oOfvfqZQDAnfkKruyFtfk3196R1b56c46//56wXf/ef/hp/LuvCtf/7rPB7PbiFy8qNxsw2kHsk8AReNOtibepW5W0AnYu8P5Q/Drp1ZLDlSwyVNw3ot6angqPUlIR3Zglr6dDjuCt9mWv6IhtZwRXkZ7fMtjw1YiY718cyT8m+nMIrtMRgOcA/NcIW+QXAbwJwIsIrtM7r9ZOc/kyP/6DfzO82ElcdUvMIvWpsnsXmX+gwCck192EpbJ448XbUgsoiw+r7HWobtW5ornuuwhPrtVDrRijXeFkSQy3cypfIoSNnn7XnXU5GxRZn9PL0czmWhZ2ARFjLaO7HOuCri7wvsdfBACs1XP4eE9NDl3Uuw76BpfGYTd/2/pn8Cu77wIAfOLZd6F9MdgsNr9AmMSXzFeEwwtRPTCylm4kIdf9qtgsqKPC8wHE7Fgq/iHPe0/cwdUhyWaf+jxXHXTlKwnGMi1l74YfCVBptAOQTx4CwEW7zcoNh9nZ0Obek0D3aOA6T16+iXPjkC3sU3/4Fqx/IbxB4y1GfRDVOAbmG+G3t9/t8fe+5ePhnljE4xeufy0+9cyTYQCtyW7c5rbNHiGd06SfiHvVdOId03Y3nTR5tCMZ0VzDgl4lYch6v/tKCibZA5P7am5JrJFOvVfYLCi8Py//w3+A+SsvH8uB+kCuU2b+NID3HvHVNz5IuwMNNNDpo1MB9yYfjIZcK3ASQSQKrYaotOjLuPbCIKQTfqTT2XA2FLGnwmiEVDmKxdNh59ogBFSxOrZrRBxenBPfvJ1L3sTubC+4jiSaE2e48PhLFbro6x/tEprbcRhTUT/cWCSYv/BNn8OlJkgKLxyew29feTI0/TvrOPNMTKLjgD4CiPYfM3k9Pr7xH+G93/x5AMDH3vsz+OU/E6SM/33t67H5B+GYX3+hx/RG6GuxbrLBzqgEsXYOATNNfAGuAoBq2+Ywfm8V2KhGTufframHpjI31XuUk8z0E1X3wgBtBELVO4QqqnzkOcPsR/s+e4QOHrXYflfo+LHLt7PU9eLTj+LlqBaOZoTF2dQOwTUiGY72Q1+P/zrwE7//3QCAW38+TOqD7/tt9G8Nz+zpGxfBXwgi1+K8y1KGaVUBbYdsBNWJbcjLPc6IWt1uRPUKKEpdhtgQWevkMbEAqsMUmsA5oY5vWCqndVJcmxRG437AWIlOBbMAwgKi46Kk31Gh5aQYR1GuT4e3Q1mDK6m2DSYw1OcMUCEBYrUStNOd9zljsnGEPlqz6wNlid8mLM7Fl+yRHtV2rAR+q0K3qVJ3ATAzm0VLN+Zc78POJbCo2WG00XbQr0gG8N/6za/CX/yPPwcAuDjeg3s6xC2s3WDsRq/Hzld1OTCMbjRFvMLv/PZXAgD+y0tP4gNvD+188Gt/Bx917w/9bpkM9BodMJKXsh8TRtEj03l5KN6Zu5h2v+LBKbDJSXo5b1Ot0bC550+kbF4C8uqnOuMYobkTmfFZiRlJcwl9UVZD+onI5r4GKNZG3Zs32N8Ocr09MFm9nD3qBNzV2MzU6n3C7IL0tXol3HPuU+GF/Nj+1+Er3xvUv66t4GI91uZ6hcnN8JvFGUjIecOSMk/VWfG1qBj1vjAFa5D3mM5VsVzfNIeeLL3wox1RI9NzYiN7VXtAyNF957MYYkMGGmigY9GpkCyYwkkbwCfxIpXf65gRnX1IR+AlIq8YpgJjmJGDtVpECdR1Y5hoaKsOCDae+H4uVmhvOIvJ3aqIlKMdwmgrGeBsjqgEkNtMHgQ/8TlBrpnLqWp65AHvPSnw6cVjHc4/GsKkR1WP3/zddwIA1p6xSGkj9y6LyL752Rq7UUz2F1qM/jgcU2wBl6b9xQn+7ytfAwBYffsWzl8O2IMb7z+DlZfCb6fXOEOc4WWNbUUZ60GGcyk/UVOsql7PRQm9eapnMvawt1PZLzGYgiUiN5y88ZZeDJymA+r/n703j7UsOe/Dfl/VWe7y9ve6+/U2G2c45HCVGFGSFSmyrFBK5FhwoixIkEUx4n9kyaGBgE4QwAmSADFsRFno2HEQL0oAyYqU2IoTSbFlLaFESiJFiRxyyBnO9PT08vp1v/3d9ZxT9eWPqvq+uq2RpodkhGZwCyDm8fZdzqlzTtW3/JYo8GKbgKkAgGLGOInnPXp3g5WoJTq6vYbenobpqRux8ZJBsx6+c/a+KdY3ArHj4HAVdBRh7gOH6a6V3wWAwZ7BK594CgDgLnZAZPO2qwqMs3MVyHU1sps1M7+ueKEb4gd63jnz1qokaibkm6XbWapXnVI293hTe8S8+AriAHR8G+nIY7FYpD6ptwvP8ELlNhfCzfHtOasmV9kW92oLIAGoZhYUw/2y6gQVatca+DbEi2wUxdX1tCpPDMwuhZujPDHSXm3WWY65d18JW92qh1+PjuIxNWFLogzlNpyiC3dZaNx5naTaL3F0HpLrZ95/R9MpA7TxPKbXO1SH4bMn72/RvxkexPJmD6OnEjpSRWc5u+Ine2u4+tQBAODKsw9w/zy0V/v7EEHgh0F+2s6lrA0X57fIZAXPCb3DmHJVIW0AAF9aQWUWZ1YWWi60ncjIORUZOMkA3UBfd6uaZqV6UjloMI8ixGZOQv4DsbQT60Mjm4AxHjaiSIerM4w6rV887KsxvaD+LjTXNIwLRpuQlJVXtfGDWtqf3ZBTWQzFWOsIXGqHp5hoy9PVeAiVGOe4grSew6IQz/tcFxeXvcd0yjeB13MSLYxlGrIcy7EcX+/xWEQWxFqg/ANBIlkEkQ8p/GRdEl/pbi/+GgDQGLG8cz0DkxidnZFed7uq4iJsII5S4MBoDJ/ViCPtjEDEWMT/Wx9Y2IidWDin+H/mOx4uRR59h5WrId04ORqCku7muYGPQre3f+06kqtfO9CQnVpCsx22i/7WFLQdYu1ZZzGsQxgwndTBQR6AuzvQULTwGM/DF3XeyOuuhnQdvMmjAqU7G6fFuLSL2TmhOs3mK31HCdg78RKskoQivtTz4BZyAbs+Zx0Fkg6Bq7IQvNAop1lR1a72uCf8lHDtYrRSe/S2Q35pn3S4vhbme9xWOBqFPKBfN4GbA4CnSsFPEHPqFGDHlqWDBqspp92YYWM1/M5sdYbR7cD8DQzbeIyrXrAmdq6gLEeQ4miR8WO8RdYN1FCPCyh2wyoexg20gGrmmpIE6nqcj3QZvtHSELmkvAisSoP0mi+iM/N6RJs9QF4BVAuxU+GRyvzmuAycBQDIjFiKiSI1m/VMqdmydCzsROnZzSbjTVMhXpRUA7Co3O1JTtLNLU6m4UrbvgNaDa+r6C3arpTSIXB9Dak5E7T1nlDGBfDC+gjH476cuuvSA6QSd+a4xOk08B96l8fyPfNNgrmfQGc6feQCRwVQIluYm3iejbb47Jwx29Y0JB+pdmA6SKu166nyFEjTh/qAYGOXhjrKAE8E8yb1qpzUln4DAJgN5tG9vVzvUEZhhw07RREX0rV6htEkrIAdMYoHKr0XvpuEq9N0Fu5aOGA+1RNsz2scRpMjv9Zh7VpYlM5vr6G4n3jji7J3ucxCuu9d38sGRh7opO2qqYSdkMoPNhkCtoeFRSAX/kWZ0r5IaX8bi8UyDVmO5ViORxqPRWQhqj3ZqmmcrrJcYrHYmYZV3JPpICGcnSropaPMtNayMAiZCTYVFSeLy2sK26oTUm1MZECavtrVFVNVfvIlZ6u7Fua6tXBSg0tjrMTU4GzcgzsLMS2N1RbQEYD4fucBHIedrn9CQm9nguAEyo052lEUthlXmMcC3TveeYg/cfnLAIAbk2184WAXAHB8uinHW0wI9jjMwaQcgGLKNbvI0qkpJyydFNsoKMvOdcdKRd3yXIVqpruE+VakbRecCQoFlmY6jyIWMoupMmzZZuIwWfWfmIWlWo4Y46sxbRkopZ43WvCDKh6jgvyIGT4ew2pvju/c/kr4HnL49OmTAIBh0cBfCh+4ebyJaa+WeQrfoZHv8A5hNg+RW7vqVQin8KiOoh3CpMRZE/IjuzVHuxm/504PvfsaNaRj7waKD3K14iJywSA2KrDERgvtgH4PeU2d0nzqmyBz4zOn+0cZj8VikWoWC/4IyKrROS0975h4iNZCeFBzVFb6DlVXApMYC9Gag4/GQtRlVeG8HcNYqHh7Si08Nb5ptpzkyOW5LijNGqPbjG7hw/Df6agWYeD2vIKNnysmalkIwyijBWE7K2BOkkWfhox2TlI/6YYFVi+E1t/orA+OJ/65G9fwwgeCrEjnLWZN7BBMtQ/drjM45rzrXyxwmvQbtlqcDUt5PQ9VU6pnZyyLxCLiNJ7/uldOQrbCLziGFyxUe5ctuuUImAeeF4qZLi6m1YWjXdN0sd102k26X/3+OhIQWptR0fsub+Nvn30bAOC9l/eEVDZtSgUNc0ayymopcv5D7T6YmlA9GWtF40q9TTjzoe1Z7FwIKckxMWaI0n+HmYp3o/PjCwBi7pQvCKwSBv4hLpKISGfyjVldInds91nr+1HHMg1ZjuVYjkcaj0VkAWCBgwHEnntcBU2HBbxDHn3kVXOh4vayjkbtF7gZadjCA1vR5m7FgqexmNWR4PyrEyNCrK4mtFES3mV04eJMKdTTK52wKE1LMBG3n5SWzJxQRq5AnVkM5H1xsox3XdkHALy8fwHlSyEUHuwxZjsRSLTF0qc3hyXqnTB5zz51C1088Rd/70n81OcDx6//Uk9SmHoO+dvONCrwJdC/FeZgvm2A2Kk5f9qLiXB1qqFuu6ICOYIlWMmAWD7gUYB4vTIgXfq7mJC4xHerHqN+SkkIZYRmN2uM3oGmHm3szHAFzCNs/PrVQ9z5YsCIbH6BUJ+F63T2lEGCTZTnKmBMLaE7Cxoqnzl7CvWdGGG+cI7ZYTgg6ghFSg3TeU4Jw9djRLmmnBX7jhGevRDwKp8/vZa56qnRtzkocXi0LfPBO+HYuzUj0UcxyTA2p3q8rlb2KpBF3Kzvd1nUQy1gfCqS67MQMDPpWUDWWXi08VgsFkzhgclBMMEpPPztszYZOcW6+1LTBMqAW+RIQrhcOowMiydm64ykJEXdoc0k9hQAk6lZZSEwrzix48NEiT3EBHMthKPsDXy0BhTTIM50DKYa5pLTB87c6OHz7ioA4C9/x8/grwy+DwDQ/dw26qPUoSBRmQYDB3vrcQ5YqvyXnjvA8W+FB6g+YelSkAdScZw6YHAvzEHXI3RXYog68NJCpC43QNLW6OgJaLt5XVt8AvrpaKE7JUY3FlJDYqscEDexQjJzNaMo9HijLEe4yOl7Skjr8uB8iG/58MsAgM80z+PJXwgdpOlWLepf5IEqeoHaOcl81AcVJk+GG6rslHZeHRtJfXvRC6UYQ7gjvYOgIgYAz1+8j3vjkH/RqJD2cjHSdjS5rJMzYHQ23m8Fw0X/k25coD6IUgVeVd1yfRGA4Pq6c9I4kxpMbykAl/NA0pwVkLQ9SC4suyHLsRzL8f/BeCwiCwALbFIAC1Z5xFoBpo4UW9Ho+32ZVY/zzzZGCzwAKHfnygpvdhj2W39ci8lyN+SswAk18Z1acPQWEdAWAC49uljArPstXERRJRUlMyokjDetOpnlPfJgiBvyhI+5fxk/9M2fAQB8/8d+Fv/xy0GxiX/lEvr7GlJ1MbU5OtlRyfiW0IvdBfKBzQoA9ZnH4HaIfo7fvSJ4ifkmYXYhgrt2JlKI7dY6+EjhtjMrO3IxyarvKSVi7ZYEx6s0LwzOogxRIusyOYA5ob8fNTszmz07I/meya7uhGwYxUq4Zv26wa1YpHziQ3dwqw2R2YXPemx/Idwkh+/tSVRAmUZlNwTKo7jdHg1QR27G4B5j7WY4sWYt/PvZkwazK+G1b/q+V/DCaigg/z8PnsXhixcAAL0zQn2SrqU6nBkHdKljY6Daoz2naWpjxDYizHEsZDpk5x3EdtLf4l1SZRifLMrOJedMh4Vo3c6zwv4jjGVksRzLsRyPNB6LyIJ4cfUEsNi2tFBABQGqnpz34CH1BQayXFEjDjDAEYJtBh1MRO4Zw+hFz88ZMbqj0MekJrTl5HdjHaQ4tSAXW5d9XZrLgwJdlGWbjRdbjgDQrXgp+gFa6yiyeoidM/pR4rgcV/jZ+YcBAHvftI4//8w/Ccf7Do+/fvO7AQB3PnNF3MmGe6Gekeasf5hHUeE/p09Z3P/mgBYtxgopdk9PMIh2CG1r0euHHdlVHabnIdLpJkYIaT5TPlcWZLZNea0bhVxZYcZvCnWuWY7ddFrX6DKMDTndSX3Nci3PTQ9tPHbqAR/6418CAHxy5zlc/UchpFm95bByN/5WlV0YIpAL39k/aOCjO9l4t8Tet5dybADgBg4mRqAb1RR3Y3/3ldsXUcYosT4K0Uo62aRZ0mwA7YrWgUQY6KxQa4RK0bUBAZwXNUnnoNIIOtW6cklHXyA5LCwIROVo3IfV9B9lPBaLhYwMvp1DpwnAgrZjevaLLJPIDGBz8Ix/mMZepJVmca68j6Gg9eAopOusAWK6UfZbtKfxoVnx6O3H/nkF+EvhTmkbg+Ig3GDV2e8HxbSrrH4YUMp7vqpwQULDXr/RoRcLXp9/+QX89sV3h2N9eopvf/o1AMDHfugX8KX5ZQDAbxy/A/fGoerWeoPdlaCs9erRjnz/+LyPXszKlwAAIABJREFUOj5Yz1/cx/E8QJNnXSFYjNI6WUinGVbbl7wQ3SobNN6kVT6j2WpPvHD9kiZqMI/WlCTn+SRQFkx2k1NGaV9r0Ytu8K4z6CKc/Wg0wHm0YfzOD3wJ17415AT/+O7zOLgRGLy9favSA4XOfzesgc2wem1vHeGFteBl+JGdL8pZ/ezeNwMAfuFTH8DGF8MErFOGk4FCubkA2rhwFCOEmxGLmJliQqKe5mp+U5yRLxl+EMGEpDiLHJBFHiKWA6/XwVd6n+ddRV/FxeVt5BbLNGQ5lmM5Hml8TereX6/Ru3adr/3YRxdey4MMALozUbZhIYsOaLH1Kia0tcqlc9/D9BTgYMRtjEFpd3TKTOWJphLU7+Q9fFqp/qRX6PXg6giTUQQxHFcSOaRQ284J86h7wDWDkmxalkKVZ4oXMY0a7g73PZIAhy8Jk4vhGKeXGO1u+IGrl4+x0Qtx70Y1Ff3J1XKGqQtRw95kHXunIfqYvbomO3W5O4FJ58dAUWj8OjkL26a9r9tUbri7IMyS0o2CpU0HhwW9zrwlmNJLO9fQPBfcMS0tRByicXqxxUZErs7bArNxNP/pdehiG9zPCiHl1TtT7G6Eiq81HneOQrvZWo+La+F7GmexXoew4IMbt1HHH/6Ng2cAAK/cuhTmAAgF5nga1blC++eb+jo5TUmCYrliH5IBlZ1pKhZkFFNIrJqk+Zz5mqU4Sv4P8FLNCvw5gjPXfyEfWuK3P/7jmN3+I1D3/roOjwXWHZAVdHNhXoa6lmcTlKO0iSXii59JKweFGwhAtTZHVUU4NjFM/ILRuAeO9QjUXusj00Jv8tKj2A5XmDK5//FpT/6/vTCDjzdHunlz+XhqSUJLVF5wG74yQjsupiRM19FVIxiHasToH4TP9h8A9PkICTcX8SB2I+4OtdvChdZH2lWSRdiua9jbnFewgzAfVdXJsc9nJXgaH76ChXNgZpCbP+XHFlndKLPfyxdy6qDwb1bYvHGA+oAQKNUyKhbWag57ppnFaBwWsbXViSigTacVOLqrlyMjgC56eRWnkafh+kCR6iYz4H4/LBxsgEnsZBydPCHucmkh2OWMok4sgDJfAOMr8dg7rXHkKbMvQk0CCNdVgGx9Rhs7IHatQUKRcWPgIq12gY7gaIHFnLpJnN2rZqbmzKbN5i0TSCaOgkgPiV7/YeNrSkOI6KNE9AUiepGIfpKIekT0NBH9JhF9hYj+XnRXX47lWI5v8PFVRxZEdBXAjwF4gZmnRPTTAP41AP88gB9n5p8ior8B4M8A+Ot/2HeJEMfDGVEeLWRpiIS/VlOVPG1Z0GDIIK1stNDWzgr4GEGU2U7qPWkP3HIwIwKAyks/HDZ8HgBs7TAYJIcZ1Y0g41HHncQMIqJwXMGPwpZGLYFS5bsjxW30vVT5u0EWTlqgEUJVFrJn51vMINoP9WmmxZFtCeVEi27dQOHC5bCVIq+1XqTp/Fkpn/UrDpx0QxvKkIFxdyuzqjFnKNrKa+jcGnk9MY0BoCtYo65Od95gnpwOIIM9E+BixDaZ1Vjph2swndQLaU6KSoopYLqYch3o/WRblm5IOzCYXkx3keJzqNPoJ+FS2qF2H5oNj17UqmALdFfDsZgHFcpI+EOfF829cx3NoV5MSXUzkRvqlDlNnGmi5OK0loGEtO0IiBGgr/T4c0sNV7AWkR9xfK1pSAGgT0QtgAGAPQDfA+Bfj//+dwH8J3iLxSLYmIc/c7+PfEKlFeoVBEQtdIUoFh+KNELLKVt10gNcenl1el6rhd1RAY50Yy4ZnGa39JkyEqMXHatdZ3B+GJ4+yiG2xPCxKp1u5Ke2jjB3YcqnbYn7J6GF2Z7VoGQy3PdoL8YWZuYabsdmwX1K7AXP9YLPN1k8TNgEeX8gAKjSnNmG1ROk1Vy4HVXob4Z6R9dZTZ1ypTFH0sJzqw4mpi3r6wHkVVgPl1ITCixOICzAKU0wxFJLAYIQcXp/EaHqo1mN0YMwp2ZkJfXxJUt9iC3LNZtPSlnsbeHgo3eKnxp0K3JB5LwXHOt68cfjKGKNaHJZ0wMx0+4rgCrcszFdPLOYXVTbB7tfx+/2mD2RyWClbGAI6cqV/RZtbE1T7cDiwaDO8954cZjP6zzIO30daY3I6vmZBqKa5a2CDCmm/X8kcG9mvgPgrwJ4A2GROAXwGQAnzJyqiLcBXP1qf2M5lmM5Hp/xtaQhmwB+EMDTAE4A/K8Avv9tfP7PAvizAFBsbC4qdmPxb8qq40xYWOLeVNuiUrafL1nD0o4ACh92Lks3MiEcMIQ5mve3850EBphPw67ZGzTwvRgVPKjF7LibWbiYZjzoh0LcA7OO3nqIMrZWx6iiGU6b6QyU+wWayCI1wxY+FrycYWGx5hBzX5EUEom1984msGCBEImkcNg0KiHYrrBIC9pBh66N38+6C5Jl8CymVrk2iCOUkTpLSR+js2hdBL0ZjyZGJ92sDKExANNzqOLnvCfM51GP0xv0IxCsKjrsXAkYkYO76+A4j1xqqoLSS2SBUYkmppRFr0N/NXQ0msrB3Y2dnBktMGJzoyqXXeM2GSCdl6iOjLwHANzUoExiPZn5MDnAxiJws+HhIi3ATowYbvu+V32KSqO1dpIBIc5KvX5Vbo6VRc0PBcpiJEWqHE/tQ85+qfAJgs+sCd7u+FrSkO8FcIOZHwAAEf1vAL4DwAYRFTG6uAbgzpt9mJn/JoC/CYTWaQJhJaZiLopLThFsCxNnsufX6eKSKyQFF+nU4/JSg+BGFX7Jqcmveyh3Nik9KEnAWrbXwUVK+/SwH/gnSC3Q+FBOjACzbKYL6epwgsdYFQYqrWZdFwNUD6Kt4VcKoUH7zALB9XQO5ltOW3IEIJ5reWQwuJUsCLRC366xLDbcy9ynidGOYz2lYPE3gSPYkZF5TQ7htKIt6KPbAclYHVq1SOiz1jLWnbiEcWcwizqXNDOw0/Dd/QMC2wAQO77qgiYoALvSgmOdgOcWcIm6qWI5cASKC2k3N+hiq8P0OtRPhbxietyHjVTwUAfRuok8lASY5BtSe8wjV6aKwLiV+waznTiPq+py7mpN/wCgjEbZ3QrDryU1JCP3iRl24obHc30Eue/AaUGbW70nrKZf1NKC05y0nh1AseZEnW4IyZMnnV+OqvNvc8X4WrohbwD4NiIaEBEhmCF/EcAvA/ih+J5/G8A/+Bp+YzmWYzkek/FVRxbM/JtE9DMAfgfBxuezCJHC/wngp4joP4+v/U9v+V2AmBkngErg88d/t7xQiBE+iIdW3I3iBxZaI5aFl0AFSzRh+p3snjwtQElnf64S8LnVPTFJgdO3BkV8v2uNKIazZdhzjTLauEuI5uUMsrK7Wl+njkARMr66NhbY9ei4L1Dg+tiIydGCUXTlZZcyYwszTZFQgJQDwU8zVb7djKQYRzOrYJ9JrUFGS0Cl0YdP0m1zkv49V06AW01KvQYGw8hTqU4JTWRcsoWYN3GpcnvlqZG/mzVNHctTg2kdQAyD7QlmkwS0CPiGcCIEShL9HqB43q7P4DKmOeMS09hZKoYtXGIcn5YLHTKRym9J9TbP7e/rFkwvsvz79EoHdz2kLHxaASnSOi3FmiFFeQDQ256G1BdBATyBxczMSCF6vu3h4/fQoBPQoG+NFD7ZQsSLqFXNC3aEItO2yPkjC2xU6fAsYpMeZXxN3RBm/ksA/tJDL78G4MNv53vSOfgKchFtA0E45jaFCyePDOADxV5xqUg4Lli1IK0HxzeVVSdtTpQNunHiD0NJT4UuNJy1/HhcoEs3gieYTeXKOxNubDMnCRFnF2MOO1MnqmJC8HEx8WsdBr3wHZ2z2ByGrsTT20d49UHgdfhrAEcVp4XF0DAo1RHGVuamyMR1Zhd8lnJpTQZY7DIp+hLguBD012cYXgrHNr5UoYxzYIzHsA6vJ4RncXWC81ifWf1KgZU3wnu7voFpw9+9E4PJBb3x05jsMqr3BS6G80aes/mswnNXA7OuZzt84U7gwbjOgKPzsieWNNWODTDXaykOcwclKN0TtdaxqCHdQBqta9SHRvRB03U3DWF6OdaBJgY8j0/tRguMYso37FDELlGv36CNdaDZaY3yQeTekLab7ZyUls4QblG34eBS277L2uyAdj0y0Bch69p4yKLuM1U3LNQDSdOvRxxLbshyLMdyPNJ4fODewEKFdgFMQllkgQyLkb0/75LkhR+Ql542OyMfmp/Xgosg6+V1ajJ/gfVWC2GWgXGYLrM5h4uRiJkYcET+cO2AqOTt1xRUI+rQxKL12XiNimhiMTExanCE0SjAj++sdjC9WBjMMA7UKEjHTArBXHRDL5wD01qBBZfnBvOd5LEASZVMq4foraZFYAARk9DMS/RjBPEd12+gjK5Ab4w3MWrCznrt8hGAgB05jXM32bWil2kbYPPlWEDO6OHkoqANApCpjZFeWThsDQN24+rlU/Qj7nrqSrznahCc+cKdy6BYSGQDwaC4FS8F2fKcBLINVp/URXYsBE/hSHlE06e1gCtAqcKDDhPeG+hFsR53VqGJ0oL2uIS5F+6Nad2X36rOlfNTnpGkPpPrDhQxO77V7gkycCDNVfKfCRohkBbvea5p+MNFzRzA96Yq9o84Hp/FIpUl0jkYvKmh64LrVzYWuCG5NkZnJPVAz8kCUVQtXJfAO4W0JanT3/VTK3knlUpd5+xC+rUONFenqfT9Zd0JMSuNZlboetjzkof2HhQw0e27PtbPmLbEfDMsRLOL2l3IAWu+VJ3Q/p66mM93vKIUZ4TBnVgzoFDJB2J+n+aYIbUJLjSs9ycV2mFoRV6ozvGRtRcBAN9xpcVnm/ADvzwK7u6vTXdwuB7AVDdWtnB8GHUpj0tQIqd4yIPVrTDoYqjVvPfaHr5z+xUAwLf0b2AQreRnXOKLswDV+Y3Td+DlB0GRyh3XsGnaO02tXN+ji6C2botQHkUu0DGJE5pvtO0J0m7H/FIHiotzPWwwi74uJrq++x6D42bgPGEaO0z9uxZrByns11br8A4vdKrmW7FmkQsbdwRzJ6RuC3QmA7gV9V3h3BU9vYcgGxuXmVVFA3F6CwbPaePkBe7V210vlmnIcizHcjzSeHwii1Rn4sXXAABW4cqmWwSoLIBPsjgsVc1z9SZ2BMTVt+sKNRyqHXyX+tVGi0aOFM/vDYYXwtY0vbkq4Bw3MFooagz6G5EiPpxi1kZDoYgNKMsOqbboD2pJcWaXOsFEuJ6qYgdv1PB3MSLML8R0ijOhE0D4ErOL2lHo7xvpxvgKwpC0c43MAoxe+/dpd16Qj3fA9MsBR/HT4w/hjaeDgMxvrOxhEGmt7+4FKM39ZhXHFLASpfWohyG8ns0sup4C3cS0twHK6NB2f7yCX8ez4bM7DntR0nurGOPWLPzm7+5fxfRgEE9Ei9jljGBSF6Mz4CzKSND5rl+gFNyLcmtcHcSMgAijj3qczaAUakD6ndB9iRHaoAPFQuakb1FEFzLTKDCuXSW5l5o1RjdU/g/FCIUbAxcfQ9NmHTIPEblhy2LwTY2R9DL8Y/bfFHxkRlzBGzgev8tSFbsYZTzKeHwWC8T0IT1MRdYu5aCqBECcy9JQFaxsUTDIZouFYAPiDNtPgkwEsaQbbs1JjYMMC2UYc4NxulFXMxHbiQHHNBaVFw7ErC3Qjy28zqnNwM5m1FTYPsVJNC52zsBHMavzcaXHBQSkIkIa1B/G0HxawUVCmh2ZBeJUilZnF5Qo5GtGtxVbcnMji0IxoSyM1YXXdCRiSwEMFBedwwqfvP8uAMCvrzwnc762HQBUm4MpekV4CidNKaK/9X274O+SQnBfMprUuRjMcDANKcz/sfd+3LgbJoQbA3ui4LKi1ftAjrch0f2oztRIma3BfDOmGFsezdVku24k9SAP2HEGcornXR0bJLSvLLq118X1vJC5IwK6C9oRo0n0X0FoPQOAqZy0Qgf9Riwbmq7AfBA7IOelALcC7yPPreM5VV6NpjmrM3XaaYPJ1hALpaE/9EzlFoePMpZpyHIsx3I80ngsIgtG2CVyoyDTZV6TOZa/Zg3BWQufC7TfhRWUkLZJKrNCUUsqjgpImIeChXPARjEaqL1AioNIT4xEVjyQwD6dwfm9VfnOFKbaGKl4R5iYaHQ8mGM10aqbUsR3VgczdJHnYA0Lc3M2rTCbZtIgaZ5aUlPlvs6NbbCwAyW8yMYTJzh5PYT49aHVXZ6AbjWcR3FmUcbdNudAYKIpkmlUDOjMB2pnt2Xw3E5w5hrWDaaTqFk61B1yATNjIZFeYTzmXbgd79zekojOnluBzXNW/c/HbNfBncbUo6dz0H+ggrn+zIBiTuf6Hu1mZH0eqRGQaQldLxVfvVAAkpctOUJ1P4tMs2jWRZ1/t9FhcDmEOV1n0ESqP1lGFwvhE1/r9bOMLkYiZmLldS5YTLzDCWT3fLpvs/s8FEHjW40aTnNGEwjvi/81gYX6dsZjsVgQFlMQIKZgqdvXZroEI9IJIs02mNVfggttgaH0+n5Pqk9ReuEcmMNS+SBzI2QwtEYQkeSz7kwLINrPcWtg0mIwt2JFV50Q2IYPzHZjhf3SRCrs48NVjHL6d8yP+6tzlEV4/6yx8rctHNp7IQ3qPTDaDcnagMWIpB7QDdXikDpCcT/ctGfHm+CNmC9/eAQfQUPmlSEGtyOpq0JGaQeKe1m4mhjUA4jbV+qiTMc1BlHi77mNB7Dx4hxlCuFggo2LqyHGauy07PTHeDXa+6Ez6N9JdpKLrfJU2S8mDFfHhXFqMbmeThZYfTZYj03nmgr5USnXpn9Xu0aAXlfyYYFJc9ZsxAUoKYqvOzRJvYoZC1KPGfhpEs91ZX2KtXh+J+d9WVD4vBBiny8Bk64hQ6T0yBNc2gQGXu4PVKqLQS3J9Ugcm3Qeohw/oyDlEI9TTxpvriHzh4xlGrIcy7EcjzQei8hC0gkPWf0I0JWbCQTFGPhsJ8hh4Mg7IA+LcgILXqemcpKSuPVOOBgA1Ei5YA3VMh8MmhvwOBlhOtmdUXp0W6kDYTG8HX5r5bUI+T1bgU0uXh6o9lRdSZzKpjXmySx4xaOLEU/XZzml+bbXwpbhxd0hytCbuSo5cQG49eSgq0XNuuxEQr+54FDcDOe0/aLDLO6qzTqhaNK8kmhQmgawcatJxcJuSvid3jUAwFM7R3hu4wEA4PeaK+h64T228Khi4Xc8qTGOqcprvCVix2aWdaQ8VLA32xnZEgb7UVDHAfVJDPF3CfPboXsyv9qhdyHkIVx1MJExOh3VsPshVC3GJNGZL4LhMRC4LXXAmolBcTEtBZrtBl6PkUmAUjRSkNzopML5akxFex1M4h/1gWYQOSsHpaRzxe5UTrI5rVEex/tqYhSpnacetUd5mB4GjQYXwIqGgUIfqghfCdHa2+SHPB6LBYUbOnfbznn4BA35yGcGLQvV4qylaqAhV5ZXmoLBEa2S5O0ASHgKxJTHa/XdDyPpqudEk4FXOhRR5ZlOLWxs25kOkt+3aw7n7wlXL+H9116FGOnMdhQcVUwIZWgowJXBrRwAVm6RWO5VxxmxjiBITU+QkNbOgGYjnu9TE5QxPdpeHWMa27hHe+tCYmp/bRvrD2LtpVYD4gffZIRybeYAAg4K5SgTATb6dwI78bGBOwg1m5evDuBeCK4+28MJ1qKJ07ipsNWPLej+DLf3woM9uzHAyr4Cm0wWOmvKpQugq4DphYTUBIZ7Xq5fNQrvqc4KNHvheOY7PiByAQzXp/im5wMA7KQZ4POvhAWO5lYWvnaNMb0Wr31q9WahPizDJrRuazQ1OC+ky1BMCcVepLwXlaQzXAAmlT5KlhSCbw7RXUyuyh7tpXjTz3XxFN0VBJBY2mRAjPpcEa35JprAfMaRbiCx8/Nm6nJ/0FimIcuxHMvxSOPxiCwADa0SQzRjyLlKJejbIYtgb/iAvp+SKW8GpoIhSSt8R4LzLzdmaM+SViJrV2VBv1BBON4pwMZOjQChzIzQrkcsREeoTmKIf1Sgi7CM1Kc/f0p3YeoAxJB+ek1RNuWxRRNTmfPnPOwoFiA7LCiHiaBtQWjXIrbjeodyJfIMnMVq9BA5OBtqVb7nUN2ILNEZ5Bhn2yQwbGJIJwAwUiz2FaH3IExOdQoRwK3O084FzJIRcGNxowkw7eE7TrE5CMcyawvcbUOsn7AGQISkP0jRAWO+lrobpClaB5gErCqByVPRkaxXYBrIqKhOCG3UJS3HDE4apd6A7sXuTFXjE1vhGDaePsYzTwVW6839bfjT2K3aJ9QvxShjVSOeVNRtHYkkq+l1sPEe6zylwA1mZiQ1qM6A+iSllGop0A2wcH69G/GeHLC6plWaavqSYaMgkx1pCmVyCDsg0W6oCoc/mbAgIuXrrGv4COOxWCyYQqi0gDDLTFlshlbM6xQ+k1nLz5laEhovF6RCu3mdorMiOEvDDi5Jx40KXTgKVv+FudK/2Wju56tMBBWRDo7Q+k02dklUt9n06Fbjv2/N0Ys2gpgXKMqoCbFhYOIXuuNa8+k+C0GKoGY7buBBkSI/HDbqVQLg9OUQ4q/eMEgWHr4IgC0AOHuWwVvhs5ubI5g2tmlnJego3LS9+wb1SVxgx5B2oWnVm3S2mZS0WB6sdqg37Oi1dZz1Y0vZsgLNJoUI0fqKMd2JXJkjj/osolXHqnrWZejWoH8SjndyxaO+EvK43nMNJrPwprNRjTKSunqHagvpeoQqes42d7dxM0oI+J0G1/6pQFR7cD5EkrOY3A6tYakTxZHAYm5ISgVvSdIK8qG+BADtGqRTRU5RnsSZWj0B8yT866E6G05/lwtGFzkj5LRtbmck5DFfZjyijqSNmtf7AIQuybIbshzLsRxf7/FYRBYAQseDoYUiT4sRUpZupH8wraYGwaYt64YIfyT/Gwpv9vq37yioaAHg1U7FZcdWVmhAe9fkITh/aglF3PHzVduXrLtg0v20DLsa8RmO4CL46sr2KSZxVx9Na1GGMo1BEaOS6txIyuAq1vptQ3CxGzPeH6KIBbBiTBgc63GnVKFZ0x0I23OUURvz5JUtneqKUUcd0N4RC7CJnEYTuedIwimcX4GI1VKnxTQAqmVqAKQweqI8B18CswSzGBj0DjXFqc/CD5VTQrMSI4IVQv9+uikMpi5AxWdrNeq1EPbZXofuajiecb9C/16KgDLOzRRYfzmc03jUw83xxfCejQZukjjl8Xc2WummYa7ucuh59FbDb3pPaKLOKo1tUAMDFvgaZk5SHC7PtHDdrDGKpN+56uEHWQcrXfBCce5sAIrqWL7WbhlI8TfW0QIWJ1EA2MSI5RutG0Ic89FWU4w/8CRI/40ttNXqAPF/YFb5NQOpU5jCLyxACVEHR0EgFeFCcgr9a6/SaE5bp6H9GH+qYLSxLWknRkJGLjmru6QLxEJYAwGzqHx195UVeYC5YpGL44rRxu5Gt0IqBLuqdHkAsMfhMg7fMLCxzdmuANOYbrSbHmVsIZalAyIS1E8KNFGXY7hv5OHrH3m0ybXbYqGe066Q/J2bpAPRETw+QK6fucSzXleTpZFBRjF2DibQ60qQLtB8g2AaBTAlCn91zlI/GOyxSMpxUaFdiee362A3w1M5ePoU7snwntG4Aqc068CgF0CnGOwxVm/GNvfOQMR5U4rBbSniy3YG1Mfpulo0m5HfMWAgivRy30v9gjKBYV+y3Ku+WpxHqXEcWbBNoDCIcjez0fvQAy6C4OphI7ykquhwdh52FndcwcSUy2QLuC+17vWoY5mGLMdyLMcjjcciskiDDRYo5zkVXUKsPOLIdiwAstublhRK70gx87BCSwdpxJGzDUFQ9ycQXGRr2pUWPnFGnBEj4/LELmh/SjSRiegkKLCZG3CC/A5cFp1k59dm/g+sEQx1pFTqqRENUGpJcBbzLS2KuX4W8ay1YgI9OulLFIXCozpUenQxj6ClbSvwel+SdD26AQloiQuWAmbuIpeKuqZVPxOYYLEAJCyNRldSGMxcwXIDX78G3dJY1a6qU5LUanpBzYLLEaM8S3Nm0URm79lahZVLgbOxtjbFvB/SwdlGJQJDvQMj7NX+fZbjHF+PJ7jWiaVB2xm012NkMbEiMVAdk0RrrscChfc5z4MAN9BoMxduTudajLQg6gvlu3BmZViMDeobEc5e1pjHbshkt8HKRmi78WCO8UqYAzopA5sWADyjXfWLz89bjMdrsSigD0dWm2Bka0RGGCNeDOFyglLuOq08fwa32ezkBJuEvXfa9QCHvBMA/Ngq/r9Wv41uwFptbrUq7oaK5y/jjbm6MoWNC9TJ2QBdGb7bOUJ1pJTp5KeZt7Z87aWC73oKJOOCRTKPSw8b1aE318eYR3Tm+eEQ85tBqm/rpj7Qrmcxj63O6S6jXdH8N9VfurVuQc6vOk2LJGlrOAG4Mqs80wYpOSDUTNL3udxsZ2RQpJQru66+p7oc5Hlhf0jp2nidEc3mYRvV9yCv3ZP6hFHEhd+8XsDXAXU2WwWarRjWD5yodU02DcxpVMUaOFFPS/PO55WmZH2oAdWgg/3WID0wndSiwAZPYpBEcyOp0sOmWeIf41SHpRuwphvZA2AaEiFreAXhDe4Q1l+N16ErQD6s6tMdg/EH4+ZzcYbuYvyoI+BB0lZ4tPGWaQgR/S0iuk9EL2avbRHRPyKiV+J/N+PrRET/bXRQ/xwRffPbOprlWI7leGzHo0QWfwfAxwH8RPbaXwTwS8z8XxLRX4z//2MA/jkAz8X/fSuCIfK3PurBsNGiLwNavMQiLFWYpka1IvPIIvxjapl46evb2gkVnJlkB+DOCBaDe05x+EzKE/EAJQ3OmfpzUEey83HB0mExUwPE9/io4Xjc74X0A0B5r0QvOVoNVJreNLSAK8lTmOapsAPy1MJGLgs5gkmRgiG4WAw8uLMuVGbjCWXahpkXdjWfsd5nu9GkeGZe/RkKAAAgAElEQVQEBFffL9BsRoh8z4NSGJsVmvNCWU6HdhkPRqIvNjJftsmiiUxBy840HM9VrcJBh/90DHFHcz3FFUxNzrwFVm8oRgRJIOcEaM5SlGYw34jw/j7Dx2jQnhZwW1FlKzqTuamFiZL/piH07qZo0MJFhJ2/6GEuhQtiiNHbCAXI0Vkf3Xo8hbkVTgd5yLVhC40aOGiUAliws+h6Xgq+dqI4i/kmML0UAXNnQHWi9+3lXw3vaVb6GMXUab7lUV0bL1gpvtV4y8WCmX+NiJ566OUfBPDd8e+/C+BXEBaLHwTwE8zMAD5FRBtEdJmZ997ySOLNJ2mFARac1ROW3uhiQV3WUiLlE7DXvC65eod/IPn/RelQxjy+aQpRnsqNYahwqGIKMR/V4NhKyy3kCNCUx2uNIeTj8WcjGtLMCOY8vNhuOSDSnctTEo+KbuClGxNcy+NX970gLwPYR3kL6eGojizKeDPXRxxMjQA0q4QudBYxvkqLBjQugaygXYcVh/Je+J7+A6COhKYkzQcEbob4/dQaRqdrYDpFh843PXrXQ5h+aXWM/dMA0GpuDzHYiw/KLEMgegXidQPN6W2bUa9HJGA3X6pmRnPBib5I8aDCJCI7B3tAL3ZS/IAwuB+BWIUSxuZbBq5ObXDG4IthJU1pWzdQUtvgnsc8PvztKqGJx957YDCNmiWu8mhnsVO1PoMxEWk7reAGyisRnpHLNjxS4JYnwMdaCdVeRIPbXgGfWUume3J6kTGLfJ4ctVmOCIN74TiHdwn43ArM2aP3OL7absilbAG4B+BS/PsqgFvZ+5Yu6suxHP8/GV9zgZOZmejtEF3DeNhFPdkX6hsyEEtDWWShYfQCdDWLPhaq7IDI9jNDQDXNuAAl8RligX7zSQVO4qiHFTqOq37Jol1ZjhZ1JLUw54GYqpT9FjZFScllvCnQnkVXqmOLNob37TajOFSbwlyQNfXdfaUh+/SS1wKgU+3F3gMSnEXXJ4kaqnPGbCeGnxc7iZ7MyMrubBrFSNCh0dA/m8bqPOA3gMB3SSFwimzYsEQTxZSk8FrvTvCOnUMAwDMrB7ARAv3KxYv4/EtPhGPfK1AfxXB5TdmloJxqT6gj0Iy8Ri52ppGInRWYXYlzsNmBIyT79DnGLLqiD+5xxkFiYfyCAmgtzWuKpNphugYKtGtWDba/ELtNtxkn7wi/c/beVrtygw42wfg7g3SDtpNSumnUEbrYtTIzI9GB62cio5aFI8RjC3s5YGbsoEUzjKLQJ+rGXoyMPEvGqcVhs8ZyTuQD05nfxgrw1S4W+ym9IKLLAO7H1+8AuJ6975Fc1Ovr19mXkRuSAXMSvyOhJYEYquVgoITCLLPOQd+Ld+nK2gwrkR59deUUTw/DTfuewR3MYp6w367j1UkQiJ25Ei/eC7HrrBmCYq5dHVsJt7sVJfnkgqjUkXiBtFwtdFsAgMaF5O6mIZFrY6sclGISCFBpDs6fjvORUcLLkbYljYc8ZMWMoYQj4Ph9cUFb7bSy3mgwyUZBUYN9his1/81d6KUz0tdwvzxXFKLQpEGYRp5Fc7WVLpC1Hg8m4Yk7mg7QRbdvz4RveuEGAODFjcuY3w93cnViUJ3Gh6bM0x0IUKo6IdiILG1XIA+8mQPD2MacbxFG70x5EePiewP6qrYdXv3stXgeRuf1HBKmzzez85M2spoZ4doc/MdCj/bO5y/h6q+G+61/YDG6llCbpVhX8sUZ1lZDO7NrC3BylT+phBbPJtSvgFSniNd4oiZDpgGqT4e5bNYZvK2I2ZS+1u8+FY7Q5KwnHR5qCV28h4tJMHx6OwrfX20a8nMIDunAolP6zwH4t2JX5NsAnD5SvWI5lmM5HvtBzPyHv4HoJxGKmTsA9hGMkP8+gJ8G8ASAmwD+FWY+osAR/ziA7wcwAfDDzPzptzqI+tp1vvZjH13oaOR4drbaLYCBYPK59qBUzKo7XNgI5e5Lg3Nc6IW/96bruHUS+uunx0MRiKWZUq97O1MUUeuytA5no7DDsSP4CLChLBXKRVDIRdWkeDy57UACP9nkbu1JxGe7vkZC5FVj1G22ohNq92rBCTTrKiBLLaGOu1F/n2UHHF0noc43Ww4m8lCK0qE5jsXRuckKxEAdQ3PTavGOugDwAkLHIblb2RmhiDu4L/T9Ofw+7fz1M2fYXQ9FzfvnK2iiFmbXWkkFqfDi2nbtwjFevxWqctXdUiKeHOgFowXObqDpqJ2r21gxhsyrnak4zPQiYRZdzwdbE/zT118DAPzW3pNoPhVOloswz0CwAkgFYqGTD1nSNlfr7zRrHrgQLgLt10LjNx1QncUuzQ5h/t4QCvX6jfCCZue1qLSZuRbsfcEKzvMkc2ynRoredpa5rBVY6BqNn9QUMN3bs2mF7jTyjqYGdka4/fEfx+z2rUeKL95ysfijGL2r1/n6j3wUuWkQG8BFOjeGHYbrYaLfc/Eednsh/PvS6SW8ei+WfW/3UUWsfnWmoXHXh1jUdz1esHVLF371lhcZufk2RDotB0XZc80DuzUvdRDTQh7QPHRE5ZOfkSxQZmzlIahO1OtieonRXEgQRI+VaFS03p9h7yCU3NkRetG0Zz4rYW/19PfjufqSBXGKjiRF690tJExfueOlrjG+aBYs9VK71DRaP2LCwpwlghcbze+nl2Ln6VIDyjxX3KyQz4nHRiaZxxWrEC2Alc1w54/PeqhfDedn5/rAdX2V9csHW02P7FwFam0LVKfx9ZnyWro+tPt0pcHmdljUjm9uYj1qWIyvsqQE0k4dW9ErKUeBdg5kvqIIm4CAtSoP24sI4Nf6uPKJ8PfJO0qcPRvvsb7HpSdCO8Yaj737Ua7suBJTJC6yzdOTggMzsJYfeGmVF1PClV+LbfDG4/A9YdLm26yaJVtzlHWHNz72P2D26p1HWiyW3JDlWI7leKTxWMG9Rb0HQWC2GIYtoqo1vvqtzzy3wOy0eZ85vq06Z/QPY3eDCNOdsFucPgs0uwmMQTDPhzjz3jtrYW4WYyNFrOHFMWZRYaorSlCMEKojo4Cgdadu1w3BJMczX0jaIGCjiXqhhL583MnnGgWsbU7QRL3MO3e3tBsxN0mLF71hg3kddgvqSKXqN1stYHrCymuRr3CmO990y8C2sUg5AVw/HY/ukF0Pkv4UI/ko6hOWnT1XsEppWDVo4GN43Y5L0DgBxzKJ+wxL43oMFlkpYMShvTHcnII/EML69qU1+WyOsckjDNNGdzUEXVNxLj8xMq9FoYXjchyiTwBoD2uc7obQnDdbnHwgnMvG75UYRH3So3engqnH7FKKOo2A0cgRZjte/h5GvsZ8k9Elxa8th9f/VHj/yuvAxd+Kvz+wmH4pYLBHT3jsPB8K8NPVEqPjMB/F/XKBWp64027VSUpuz63cb74Abn9PNNo+KrF6M7zePwS8TUXsPqa7LF2ZRxmPRRpSP3OVr/xnP4L+sEEbuRvtfl/y8t6BSrjZBuidxHzsoMF0N9w1Z09YTC/GB7jPwvUwq62oUDVntYRqPFTRXbc7x7Xd0JNrvcE8PqyjSY02akuAGOYk1i+8Al3IaYjohj7r90IXkdRaLL0sOGxY2qxkWYyI3EG9UBtJZj9mrjUCXygnoNvoQLEGUJwaeWjsTFMJX+nf8y0WtS54yByXI0gu3PU1tQnnKlMAF7IDtCsevBse6FR3yO33qFN0YdoA0m+mkZtBkVPTHl5xGMS003uD5nao/hcjklTJF5Cak5mT1hdKbbUGgd/UQwxdBSBYHA724jXr6QLerkC6F37o5FquRnDW5isdzq+F+Tp7BvDJsnBcZOTDwG0BAhozzQGMmjjBsHB43HmJjc+F+239Rov+XsgXj963jsMPxvO40OCJ3ZCqbPXGOG3CCn/naB1N9JIxc+3qkMuUuzKSZH4tqxPC2k2Hz/3Sf4PR0aPVLJZpyHIsx3I80ng80pDYdZg+qHWnIYhCUzFj9I7Dil9MvaQVhy8MJB0AtHjZ1brD+8aiSfqalZOwt9iv0G3GIpBhPDgLaKPt1TGqWD0mgkYKs0U2atohczUoagicuBaFWqwlijwMRDWLai90eT+36CJMmwBUh8pATamBmWtFnI3u1mbYia2Brxi+1YhHFJjWs7np5zwUo1TwkqQgq7iJ8DfHY3A1JNTlvkMd4fLtPLmHGZSRoUms3I3cZhK0CGnO1YgkvWwJk5Owe5bDBuXVsNs2DwbAkXJTUmfED1jARcWEYE8TuIvhqxiJDDq4OPfTTcY0ciQGN0opgMOHFBMAZpWXgzt/VzR7vmKx87vhnC5/knH8XHSXe6aFi0zh3r0C1Rvh61wPGD+Z1Gy0KA5PcLFTRoMO8+8Jhd1bt1ew9pVQ4BzsOzzxi2HSptsV9t95BQBw+/kJvv+5lwAA717fx+fWr8TPbsPcz5zcs3lNlhN2TjJnARJu0H0SjzweizSkd+U6P/Xv/QWU5xBRVeOA8ZXUNtQbnAsFEgGK1OStBiaGpfa1noTLMIz6MHU6PNx6uHjDralI+HWdRTuNOhNTq4KylUcVRXWJIC2o0dFA/FBReml18txKKxeMrE2rdPJ6K6yArrPoUlu29OKc3tsrhBTFpYreNlte0H2mgywczU4mgw6g2gzxOH15iGY7VfG1DsOGFQRkkYX1jDZ2gbjyQs82jQJ3fMXgtTAf/dU5upgyJkKeb63mwJYl5TIz/Q62ev3sPKOur3hZOJhYW9COUK7H+sWsUB5FBnB0Qw9ObcbGoDjV1qX4wNYsiwJ5wF0N88SegMyRPu0NdkIitiskuE7nuzix2PlcTDcccPJs+M3p9U68PeojwtaX4j1z2eLkW8J5rG1ORO1873gNzShj88U5s2Mj9211Cmx+OXy2vj+Wtx6/bwMHPxDO471X93BlEAxn+qbBz994IRzPYR/lcdK8UOKlL4K0wq2/9uit02UashzLsRyPNB6LyKK/e53f8W/+hYD3TwW0VQXduB4r1r3NCmEW6n6eh7SFR//1qH50yJhejBXgC07SABAkCiDDakHoIbRdYxnGakqS1KbW+zN1+DpYRR3xD8yE9kFUJWpI3MzSLtlbnQsMl4ixsxZ2iXuH6yoO60ip5a3Ci4szNfOtzpTlWEyB+aXkYswiT8+X5ihej1iFGYnYC3UkVXzTQpzH2jUtCpMnKdixVX6KW3PSXQgHEudSOjB6rmAsRCf5SJGTnZNU+V2PBSvBpRcovBt6ofWb2sFH1m51YAUi365l8PsM9l8emczoWDs/7VDToulTrcgQ2KNCitFFVrBMvi9csOiguj7LtVl9xWLlboS5rxCOX4ip3cUGZj+EM5tfBNZuhvvk7MkK/l8MXY8ffe5X8D/f/jYAwK2DDXQR8s49j/IodegU2l6dMfpH4bdWboyE/3P7IxuYpk7Ndov/8Tv/DgDgk+Pn8PN3Q5Rx72BdvFPIBXWxtxNZPBaLRS8iODmnpUNzUuKMJjxkSSWKg1JCRFdnHh+NagF0/cxR3QKc0gQDqRmQYRQRq99MSgkFaWoVn789Rx1buNNxjfX1kGcO6gZ7+yHP5MaKyQ8ZFgJZElKdnPWwcyEAgI5OhsD9cOF4uwEifr9/z0qu7ytGOdIHMaH1Ru9sYSKxyA/U93TtZYsm0qarUyVAAcgq5cp16AYPIWUzGQChsZcMipoMKyszuMjrmE0rWeDKB3pTi/BwJvRLrL9JLqPuG32wfaHtT19ArjEKFqBXUToMB+FETg5XUMYc3eZpjtFFxzYK0Oo/yOj+mUiuLyFApXxTApOqmidFeMOCtM09WH2hreH+A8bwXnxoS8Ld7wtvWt0eYzwKi3f5Wg9P/0zovjUXhrj/58IPXVk7wxtHm2F+D/oLCmVi+mQZRVpEpoTNL4XX1798BjeItavaor4ReDBf/pGr+OgP/EMAwGk3wCj2nD9x/x24dWcb9/7T/w7zG7eXachyLMdyfP3G4xNZ/OhHQ9U8wVdL3Zlc1qcvR5TpQ3qpvvf3VeClG+gOkKcqLJZ8MQWRRoraHZa9Dv5OTCU8KcvQQVh9a7vnODuMvf/DEt1G2D3K1QarK2GX6JcdjkahB742CGHR+bRG98WAEXY9xfKX5wr9Hl9lYVyaDrrzWnW3Wn3N4PT5WLyckry/XWf097SvL5yGPtA7TL/FmOzqRpKzfIV2XyETzFXGKpHqiRaFE3+TpOVYnajUWZd7hmTRRN4Z8TULDiLgBDRKTNEgV17Tnc6IE3lVd5idh98t90uZA19q2uQzxmq7yqgPNbVKUVQx0QhhclkFl02jPBtJTdTkPKQhyVE+g9yDIJDw4V1GdR6O/eD9Fj/wJz8FAHjx5ApefiV0MTY+X2D3EyHKmFxfxeZ/cBMAsFLO8clXnwYA9IcNxgeRj+9JIo7enpV72Dhg5VYCAQLVeTiR8aUCG6+Ee/L4XX08+8NfBgD8O5d+Hf/L/W/HL/7w38fhSw+WkcVyLMdyfP3G4xNZ/LmPhqUrEZiKjFRmF+sOZdSB7B2Q5OjtmrYWcwXwXLwltNiiYElfEXrsCZx6/OMCFNF1PNOaBVUedi/uZGequzG9rEU/Xum0l14wnrr+AADw+usBzlvtF2i2wu9v/44N+hMA2iEJKas+YTTRL9Q22lqcbauK+ORah/6d8A+9Q8Z8U3e+JNVvOo0UFuoEBNkiipFqNgThlxhN1Fq8g2UgE9pJ14E8CZs25fmu0pzfzjOthIwtSh4LeJVcN1UMqR0WvDrl2jNplFhxpvdgUYxS0VbPqV1VgZ7Z1RZmrPgV0Q1lEui3q/Wes41Gfknwx1cqyQ9SDAwXWfRLkHu4mGgxuXekUcvht7f4wQ/+LgDgF197N5o7IUr1A4fr/1d4/93vsPjTfyJEIr9y9znMEqr4cID6TkQe1zrfvQPC5HK8fn0vQk1P/EKDo3eH+3ZyhfHsx2+Ez17dweS/GON3f+QnMHr53jdYgfNHPwqf+WewUTUjmwGSfKlho2kVcMKF3hjw+jC7Qda/rxSsVQw6cLwzirLDZhQm6RUdiqiVePP+FtqzSOmdWPV38JDj6dYdEG9ge1QI63O4MQV+K6xkqWDJz45R/06484oJRMPROC1e5mI6MHqjFmN9mJoNxiBe3+lFlsJgs6bgJF8xfHItI2Bz90zmezoP5zQ77Gd5n94vdqS2B772C0xaYY+OCvndNJgULFZMHnLgSs+Y1wWQdL0O8xRh6NWJUb3ljoQ2zgWrPqllhdM7gpnqQ5x+Ny9Y0sU5ijJcm/moDsVrBEh2OobqxAgFP6lwAcojAZSCz6THnhbl8A8ZuMzogmPnhOok/c04/kC4Nh/50OexW4cf+KW953HndqDLX/hEiXISvvfuP+uwczlgKMazSu7b5s4Q9UHEd1zr0L+tLN/0XJgWuPbLTTwni7vfFc574yVg629/Er/Jv4QzPlqmIcuxHMvx9RuPRWRRX7/OV//9KH6Twv7ctJWyaKLR9pzr6Y4FzsJbr8v+Qjqz0sGk1imCCAkAbAyn2O6Hrf326boYAR2fDuGPosLz1CiycqeBib15f1QpKm69BSKa0YwsKEnC3wwF0wufZYyuxtbjtuo5mjkWtCTSaFfU7LbZ9GJE1DsEmtV4TlkYnzMueSUrTBqGifiSsnRSGISHok+nhcy3HVmBh3ubtVctS9Rjp5lOZ9b+TIP8Yis2pQYmM2LyRXb5MpyMaXR3Np2G+67SY3k4KsmHW4u4jHML3gkTah5USirrO1Bs+3J2TsXIanpC0PmY6X9F02TwUKs5RlR5G7dbYaEDmBkJdoM6SEF7ts249OF7AICn1g7x8nFIWfdvbWLjcyF3XLnrcPTueO2//QBbEf1588Em2nG4iYoHpc6lydrWTueyPgIufibc55MrPdz7Y8Ddv/pfY/7GNxDOor52na/9+bhYxNfytIINFnLlNKiDxEacXVyfiZFwwcrH6DvRyPzO97yMD67eBgD8/P578Pp+sPDupgUGX1H47exC7JkPPHauhTjyYE89OS4/+wCti1yVL2/LzVQdG/QjxbmOFPHxrkGzoeedbqp23S+oH6W0pb9vFty+U97frqnpMNsMzERYUFeSXL/0oOR30enNE0Rh41w6ZUiaJkDNZe6tfr9CtVUSIKU+rso8SaymRNQhExjOwnSb4Syy7lf6jHx3tmksGMuklNXqMfqKFRdRsMjmozUiVExGsRt+ZpVK71X4l1o95vw300Oed0AoO5ZiynBV6uoAbVzUg8tbXDgyceRcoaxZY6y/P7St+mWLJt5X+3c3sPXb4cdWb3UYXQ3He/xdM3zv818CAHzl7AJe+8ougMBPkcGq/lWeG5mnYky4/MkZPv3pv4azsyXOYjmWYzm+juPxiSx+7KMh9M12kdw5K/c3XWB/pjXRQ6MMozgBkOIsaNDhuWtBiPzV/R3sboXC0g9e+z3895/64wCAtS9UaGNxiwstXrmhV7eoi3MxSe7drDG7HkLdZ5/ax+ufDqrRFz6rYdJ4N7y32UTW7VE/0Vytm0sIHmD0jHY9yOFNDXy6PsOkSKHKCpxZUdHOSHY1mVAAMKx6poU6gqVdHYhpXzo2G1ImIOy6kgakc7IaAfpSr5O3mjKQ0+iEs9fBes1yL1DTZsjLzHYhv/bhesf3Z+rvptPv6QZeo1NH6m3rSToHYD22YqK/K+mG1d8spkp6nG+QpJTFJMcHZZ8tMp2NUrsqxZTQixHodJckDZ1edXjnu0Pke/tkA5OYOvZe7uHiZyPWZeLw4IMBFXr5T91EFakJX7h1GeZOlF3M0trcfa6YElzF34AanAnunaUSDw/Jj7NYyFu9GchBK/iFhpPBiDe8509/22/jxZMAhnl1fwf2tVBL2P1Nh5NnwlN2/pyCtbhkFGuR93Gnj+rpANV2zgiUe37ag408ho0v6k1z/qSuY8geiPQwl+daHZ9vaRjdOyBMrqQ0RNWomiz18GUmYpuNANOO09QBuTta/h6hvXeQJyuntPsyNybWh546/TukhpD5Dm9gfVKRLer5HFD2fVnaweb3HycQb/ask5KzV8WvpcoXQk0f2C52zuQ4WWsMwa8mT5H0ONNnc7n8hfst/n59qjWk2QX1dKmPFiHm+WKfNqScyrDzYoOjd4ULON/U9nFzpcXKluqT8jR6zNy32P1k7L69tI8b/0bYqK5/zxso48Lx8t5FdAeRIzRdTCTslPDG3/ivMLuzZJ0ux3Isx9dxvKX4DRH9LQB/EsB9Zn5vfO2vAPgXADQAXkWQ/D+J//YfAvgzAByAH2PmX3yr35D6EOkO+/BIuoOUPhD/D2V/yzF71YWkjQbvu34XAPC/f+LDeNf7gzKJ7wzWQpSH2YYNKQKCpkEqkJYnBm0Twr93fugNfPkrV+S3ehthO6jXZyi/HLYVLhijJ+PxZsrgKQ0yMxMg0Yg7XYwCBnssytNnzzr09iNJrFSLgPqYhPAUZPizYmRK0bzuUrmRtG20OApW0lNIPSDfk6IYOyM99grIPWcXQnNJPzTlg09RSxZhPBRBiElUPB55X0p/aPF3bKOvy/bmFs9bviMrgJsui0RId/bcXAkU0jcgRCQSTdjFdCadR7pmTBApP18EMB0AuD5hHg2myRcY3I0F4SZzNiszDdAVYHzdx78rcTnrHRLufzi8p7pXYnoc0HZX3nsfx+MQEU94iDd+IEzC8H3X8PRPhvu8+6Ut3P2PQr74zzzzFfwqng2vH/ZQjDTl6ga8cJ+81XgU35DvQvCf/olssfgIgH/CzB0R/WUAYOaPEdELAH4SwIcBXAHwjwG8k5ndm397GNI6zcBOhOzmycJ311M0J3VqzSaVa4SbYfh0ALE4Z9C+HCZ69b2HsD8buh7l2GP/w1HJancGH1tp9eYMTRTC6Q0b9Otwp84+uYP5e6JwzbjA2ktJfx9B+BRAe6HN7k4I9TkBgMzUiP0AeWAafSxWXy4FfLX9BYfxpfD+Zk0fFFdhoSqf1ybkAVFxJ5hWHybXy+oRmbcEF1lakS28xTgLt7P6Qe4VwllNSboCWSrDlhfC+7xzkcbDYX8avtDXTbf4sKbhetkCmOlMAtlC+VD3RC0LscCJSYtInkWR4vcWvlfuyYx7Q50uHL0Dxuha+JLJM62wkPnmQBC4vsxaqnNdoOZXWlkM61sVtl8MJ3zyrEUbN4rqmHDhe4PJ33dffAVfHgWb4c/cvo52Pywi279rcOEfBA7I/r/0PHb+1WA/fOd0HePjyHsaFShHX2fxG2b+NQBHD732fzNzmrZPIdgUAsFF/aeYec7MNwB8BWHhWI7lWI5v8PH10OD8dwH8vfj3VYTFI41HdlGXnnu2M6defz7slJDEIl2fUUR+QrvpxCls8NSZaAdcv3iMmxei6sk/3MZ8I3z2/AcmWK3CltJ0FoPNgPM9uLuOXpSmmx4M0B2FFKP80CnsSyFC2XxNuQDTS9otoLnVkJwRjH6gHQK2CsSycxJxk42P7P2/7X1prF3Xdd639jnnTm/mPIiiSJmSHDmyZSmJXSdN0TqtndZ20R9F3aaB+6tF2x9FUxRIg6BAgaD94SYwEKBA0QBBkKYNamQo3NqOU8uIHU/yEEmW5dg0JZHUQL7H4U13OOfsvfpjD2vtq0fzSXXhF+MsgODl5ZnvPnuv4Vvfh5uf9vqq26cVJ8WWVD24QIIig3yMBwAGAnLiQjwsV+mVlNLK6/ossPVWPWOFFbB98ThMq1beUti9NSw9ZtyJgehDckEiuquTpPM+plr50zmhhoGZ21adk5IXkx9SVy8032eqyLA6jlOVlEZg966Sa0u8FZWSICAZA6agxLI4exPhyNP+JocbJW6+JVAYHmphI09KLT0udgGJdZxmBThA9OvDFrff5Pc9+nSDySH/MK+/s8Xgd304/NG10/i5n/8UAODa4SVcCvR8G++ymB55CABw+NkGs1/1Y+tHfvESbiz7WOjS88dhjzZSFdqH/TE7eX4AACAASURBVD9NFkT0SwBaAP/1Deybqah7BiyJf6nNPaP0whkJPcptSpyI1BDe/OiLAIDnvnY2+UxXXzmJ1Rf8sTYvOJjTfjQs9ms8cNg3ep0d3YQLo/NtFy7jf7z6OADgm985j+ZIEFj+1DKKkd9m97SwJxFL+ZGaOWFnkpcYAPhIjUNHfXh0/VtHQccCkcsnT6IOPQfNm1r0X5ZZMsa2rpKX1vYkPGGrQrD5cmIERSkX3Pvd8jFDzOpxEyObEkmg2likCk6zrCYj5a6nkEE1wWUv7ZxrnyYRVqGBLoljrgkOavuIUpwb7ymUsPk2KQehyqsgIYZ2JSR3NZHjJsIbK6AscoALvTGzQwyKLGabhPW3+X8svQAsX/Sfd09TIojmIQsSdtTCBO5T2xYYjfwPWw9LTBb9A7x6pMK53/cXefgru/juzx0J18P4/f/w1wAA197d4N1v8US+X3rlXkwf9YPl6rEhznzKn/fmL5/FpQ/6H+LUvTfw8suH8od6F3vD1RAi+hB84vMfsCQ+XpeKOjM/zsyPm4WFvTbprLPODpDtC2dBRPcB+JhKcL4HwK8C+GlmXlfbPQzgdyAJzv8D4MLdEpyD02f47D/+l77TNK6MFfbMlLs+Em/j7HgLMw1syMcnaIK25pvvewUv/tF9AIATX5rh1gN+adj6qSlsgPaODo/RBLHeonT4mXMeNvvHLzyYzlnPKnCgvhusi4hLvSzclcYiAzFBubpxmwQ/Z6Tp+e2PfBff+PQDADxmf/tCaJ0fGww26DXHq7YZtk/pGSRBoIFy33WFwMrKrsE4+hp8i7i4QglyPsvdf73yxrCoqO+8okdLDa3lnGehK1jRC1DhjgY/6WdArJKadzKF47jT9WgCngzkB7lvLYegKzPJE3LS78KEhI0xDbJu20EA2NUrAD/scTr1tEqUCGgNKFA6cmOSSDIX8ELb8NIQdfBwV56tcPzXvwQAePkXfgLVT3l4ePXRQ9h6n3d7/t4DX8XVqXeRnrj4QJKiWHpyiFOfuAYAuPjvFvCOsy/g4x/6Q9x4bmNf7sUbVVH/RQB9AIF/CV9k5n8Stv8l+DxGC+BfMPPH73YRURiZzd7ZdjtUJR7DCXxVLDV46LRvwvnzL9+XBtvoJUJ/yz+hzfMGs6PhRdw1sKf8L7y4PMHfuNdPEA0X+OK1+wD4Bp44ypafK1OVoqghTFyq9bmcUJosjBWXtR2pno3wo5dbRcovLF0ySUGtWXXoBY6OYiLALg8wkmNH01UHAMml1XG2LnPqBi8NZspe1jnXPDEwqd4FfRzXl/NqNfWE2izzl1OLK2vToYqQMuf3mj5zvp/eV2+vn5Vu92cVfqVtsrKraimvGa4KOSeN4IyhyUDOX409GxnguUa0vKYJEpzlC4NUsp6cbWBGISRpTZKBoJmIb/duiSxBvSzjzQ6Fc/X8702xfdYnkWZ/9zbcE769fXKc8chPfgcAsNab4OKWD1tuj4fYfc5PIguXCbff0uLVf/8RzF7cX2/IXXMWzPzBPb7+je+x/a8A+JX9nLyzzjr7i2MHQ5GMfM3flQyOUkoKmJNhKIhgR362tpMCz37HV20ffcdFXProBQDA2rdn2HgkyMwfswmI0qxaIChBlcbhlakvO9yuh9gNhDC99TKFOdsXLEZXAkZCtUoTK3GeikFBbLbpzSljRar62Hl4cor+twPVe4EkesMDBzvw1+h6LK42Mart4HFs47Xwary2upBCj0qwFYkNC/nCnrnflHsCqY0cAjnPoN9NnpyUgyI9L+3lZKGHshR6KFIcp/AfWnls/pr3Or6+Fg3JzvZVxzS6CjSQ36qcUOqDiffvqtyLiTDzyZIcw9QG5UmfRG/rAi5As/nCLmZBl3R4pcL0WMSzS9hSTEldCyuPhoHgERtiL4wE4OI/rHDPJ/wO/f+yjId++esAgE996RG88Jv+XWh//hLedfQSAOAzr15A+6BPsO9gBYe/WmB9vC+nwj+2g9AbEhvJoGJCn80XhFZ8cMcubKT9Nr55JLE1Hf26w/io32jr/ryRjA/7DPPKyhg/ftJXTC5tH4EJv8wLG4cSoGX0UoHZYf/9whXCzGO4vIJTOJdppYTWLLEaKDJY61WHfuCfiIOuf4vRLvhjTA/nzz1R4B2epQHmZRJDpaUmmNAWX23TnuFa5o6zVDr0ZJvlgfaI1dM2OjzZY0nR96qRkXpi0S95VsLcIyQxqnJhdY4Fe7/w89WQ+UoJkOeSfJNb+KzGE0hQr6ZVOYueMJxpFa/UVGeEDgBDieFot0hhJ4ygvGhcJKqEcrsQ1fdFeQiux+gH+UTbl14g0whZsztWo69Ik6PNnlvB8a/4ba7+LZuIlftfW4B5lycEfuvxl3C87/MmT986jUtfPYOrH/k1zK50vSGdddbZ99EORhgSjfdeIVwBz/wEYOPZo3DH/VK99uBNmN/zS7+rKBHXshEX3C44cIByLxyrsRxwue8/8TR+98pjAIDek4sIfCXYvc96inX4blA70DO/uk7VfRirHnaRE8Cm3DWol/1MPwg8ieVU3FzTSDuysUjTtl3vgyLbleGku2qWbBL14aKQVuoJ5e5quliVlS/nVluNBYnP2iLDaGQhhkqUSrt4XiWIzyWBv+ZJa+ImhITb0Cu/xnNk+8xVK3SolB1TJS9d9PDnPNW9IAVceE5Tfz1C9uuv3+8Q6QN0v48m7kFjkood90RJTLfFmwZJc7QdCHnvYIMwORl+45owOxZYvsYm9TfBqX6eG72EybGlQVkFnNH9u3h55MOcI5+tsPGOcO0Pz3Div/lw+wsf6OP9Dz4NAOiXLe559GVcH6ls8l3sQEwWKSmvBoDtC3BlcHoHp9d8rPXd8SlUl30MsPLbBrfv99tc+xEChZCKK046INxzWDjsY8jl/hSfu3YeAHBm6RBeetFPNMM+MD3hH/rqMwZNYMiulyR/ECswgM98pzLjhFK/R7vAwmy1S6i2/PejV/2+u6ek0sGFCPVa1dtgakooSFdRIqV1syL1mrjVFi583yq5w2qHshyG6+sHGv4uRf7RX0hwk+eqAjq0SZ8NZxNmsliuVS+bViRjFXroSSkzBRybz3HoMCT+rhlLOOT4RlWKdHii8zaAhEsWgAkb2QGjXpMxFCUc03M0SAA8TcxLM4Pipi4V+b/KsZHciJWGtXIq1JCmISy+4G9weoRBYaYzNZLUZbtkwaF0yuMSCILaWGiSKLUpGMUJP843egMs/bnfZuc+i50P+ndn8Lk1/ME1331x5uFX033s17owpLPOOtuXHQjPgo132QCoxBoBAQ5tv7WEi8dCt9xKg+Wv+yV5694Ku6HzpKjVCkgStpiBxckVj5l2TFju+WM+88cPYiWgRMZ/aRf0ij/+9nmgDfsWY1HJQq3g0Mqt1/0EvU3C5JjcU/QoxicjMEemcVNDwZIpHcNXIoLLWUiSkhWuwPUVZLtyyePgQuj32TBe46qH5xtXRN1rQSoU0l4BVPclUa4FIm088Ro5yaZkSVXkCU6NfYiWdXkqnIcOQzRBDhsFw9ZAL206/JknA1L/l0iOSwndwIBdici34EG0lOQVqDHCMqaS8cWEsnuPt22HjHYpwrplm3qN0Q+YqME6YXZIXZO+/khgvNjA7QRN06ZIXKL2Zk88xoqx/YAfw6PLJXZW/dg+956ruP4JXz18Zfck7n3n1UTitB87EJOFF30xaJdd+gFOPHQ99WtcZ6AXFMFPf5Zx/e3++9makrkr8lAhjtp3nn8ez2/5X+Cth1/Gn750DgCwfIlx461+++FXFxLgyj60C2wHEZdFBza6xBU+KiXyySmbrtnUhH6QriML3H4oxJZBTb13Q4LyakdyDeXYa0kAgB0QrMrVxKY5pxCDpBTVgULIbSvAxZZ9S2gWA6eHk/DEzJBVb+RHQEL6QfeVOLlvsr7xKm6fQFFluEaScp+rGERSPdrrZZ7vX9ETVHrLdNXjDk1o86HSnnSMDhlyNaNmZPWxlImPIrOUupaoDK+PoScINjyH7qW0TRUY1dgAdhQrLaLuPtxgTMNi07tNaB/zlQtuCxjVBUexFN8YmDBZ4NAMNlbRZibd6+yQw9LX/bvz4vopnHi3Dz82vnQCl546jdl4rvT0PawLQzrrrLN92YHwLAAABJSbBs1Jv9zd+tMTmJwX8H1U4Fp/aw/TI6Hm3OOcVj6uPMstzp7yMcbnL57H33/kSQDAE69egPkjD3ed/J1bMN/0vPztAjA9GZbPnV4S33V1ARdasisF1WaI4lN/vUg18PZ4jWEQCS7HjGYxkOuoLH+sr2uXullEYsqKfRhxP1b08cINiowYKCMtTkQ1jN6mrAWp41JDqdWqbfvYE3ylSWwyjIZF6rSM/+33o+x8r7nGOQ9DX0/GdqaSo0lSQGExMlyIE/g2k4LLq4qF5ycV7E0mgRA9JyeyhmykxV53QqfzK9i8JyGOF06iuVKxkBCXSF5iuas5YqWD+dabgTXfOIrd922iCas+M2Flzfd9bG6PUAR8RVm1mN0MbknPpZCkGLZoA/jQFoztcN/DVwtc/zNPlnPuJy/j0pNnXleC80BMFgw/KKoHtsGhuWtyfoZe0HQ89bkWN0N/V70qg7fcES4JLVl48sQtXN/yTR1vP3cZv/PUjwEA1j7fx8658MJfXEE/VDHGZ9uE4WcmUBwcBSd+gbalRHc3D1IaXgsoyxf7aeBNjxD6oZ07lk5dzzd++Y3zxqkIymqWkMRoTA3hxDDIyoM2Kp6XyAhr4yDUTFnFbO+yYdzfHzRvjIrnMg3lk4R77edEHqxyGkZtl/Wa6FBCNeGRYvnSgkN6stCWcQNTDgBLgDVHcEpsKj2/kmUCcATXyjMrFOt2MYnnktBSN+dpir3EaeKQmLurqSLsLWX7elWQvgwJn9kAG4/670dPrsDd7wcIVQ6bWz5OJuIsz1AsR64Cgg2MbDY9RMAMW1Bo/ptQD4vP+22e//IZuDNTUajfh3VhSGeddbYvOxCeBQpGu2JBF5fQHvWzaTVqsHzJT8U3H6qwe4/MgLF3ww4kgWQY4Hv8UvDqM8fx9nd+GwDw5LfOodrw/vXNR4V8cXi1wvhcbOlk8K0w7a80SROECgcObe88cJicCRnvHQMbiEzQEqobfpvhOjA+roA8YXavIsMVC1cjk2qDNsgSZC55NqoCw7LC+pUzLr0qFFPaINRKAtX2IMuCwlCYBjmblV7lk5ueu/xasm+eoco04lFowlsN8mKFKdGkPFmI0VPbhGsDYsJX9s1AX8rrSt87TQwksZDHsehyiPIcYv5yKNtHz0m30ROrbtwCcBHVRwqXMSMUKSkunkXW+1LK9kYJgNfLnEiQ6rOzFHo0s1JurzEqBCUMVkL10BKawCPr6gImALd4ZLH95tD2fq0E3+gnuc392IGYLEzlMDq6i3pzGdV1f5MnvmiwddY/id17XBbzxkwyk7hwo9M76JX+lzn22DqefMajtaq1KehalfbtbYQw57RogaI1QgJ8u5dCD/RtqqpoESNzzxjuxjBdf28zhDMngNlaQOM1EvPWAeRVTgAbQVtK94ONKk9ayqsUaSOAosBPC4QKsJfKS+44peNrMl4AQBzkTj7784Vj2tyVTyzhqnXcl3Xle51LAJA3lOnKn537XpVF09elbGdqoe+bR2+mCowqwd4pzHKlOgXn4UmcGIsZ5SjPRIUg6N1Eu1dLfsPzVoTPLOEVtTJxMEkPkVF5jcGEBKzVAmxC+DBAolOwJCHRcGmKtvXbDBdmGG+FhzMrZAwXnPhZXEugWHJvyQP6AICQuDPq0w69q73XVpi+h3VhSGeddbYvOxCehbMGk+0B7n30FWz+gScjna4WGJ8UX1S7v9GKKcEGz2J3c4A6dNodXdhNSdDiuUU0D/jwpLw6SCxUZMvkTbQLkvDyFFdhZXBlAjyh7yTxeXEBfDwoQV2sUpgxXpKWci45Zbn7N0NoMpBkZLsgeP9yDOwJdQYyxqbEu2mEbCXrlFQKXKRAavPkN2aPSoqWGDRqX1C+aidym56qsOjKxZ2YrOJ55klxYpKXBG9AjJRcbEe5xxK3dz11fy731OL9llM1bmrK7iM9V8oTzQkox1DSjkh/J0dHJ4RVSMa6Z0aFGOwkpGxHnJZpT0Ad70nIlN3Iogmf+19dQXMqeAQDCzMI/SN9izYAtIqBTQnOzAVQZM1m1KaOZqoN6pNNjk26ix2IyYJqQu9yD7t/chK9VspIooGR/9B2IZQq1yyOnvYlh/UX1zBc8zDI73zjHlQBJ29OWFTP+EYaMwN2zobykhLSKXcolbUApCYtO+TkivKaxYXTXif1xcEaEKTuixmw+WBA9bWiLE5OyqDRpXY9lmrFHC3dXpOhaYHedjhGX+lUKNexHcrAL2YqnFHlT6PlTEoVl5dSFiwmeVlQv9wa5JSqT4SkQRIRpxrZirkke2QRd7oBi/X1ih4rl0jAo2JCMFHMp5Lty1357CqpMs2zacWJzDQq92CFBcsOVA6nzp9tqZ5lPF6kFXSK6dw0kAne5BN8XLRsXwBrduhSibtZld9AT95m1MLG3pBpkZjrHQNFqNy1sxLDQ36Qta0BhfC83a5AsU1+4BITl5uouIzhKfyserHuYl0Y0llnne3LDoRnAfaZ4NH1FjceFvyviOAKhDduC3gPY+OGX4L+5o89hf/1Z48AAHrbhP7ZQBBiHG4HuQDuO5hdf6BmzUpfBEsnZrFr0vdG0dm7WYGLT3lc/ft++iv4w6/5gvjWm5uUTTdToyDhAsCKAC7TIB3b9lU4UORexp7MTCyfbV+DgHJ3OOE4oJOmsi+1akVWS4UdAIhwcqcIaBTmwZUKSm0YhQbEARnblmkkiaih5ER516uEA5yteimRucDJ66M2T7Am0poaQHxmZe5dpP4Rpz0zSqFjb4vRDqWSUU4EL9EG6QcdxsVn3SyonpJCPAg4VQ1RnoLtS+hRjk26VyaR2uSSYZb8uHVbVfpcAyg3Q4Lz1A5c+OGYrXSm1iXKnn/gvdUZ6qAhYkqHXpDanG31gVrCZGr271UAB2SyMNYrUV/9q1Jjm5cjTAN26ICIh7eEYt0/lE/1H0yt2vTADrZvehDL4nM9lIcC4Glo4ZaCDmXBQpQ6JhShhMQEtIsyYOxiiA9H0hb+sScexyBQ9dFbtjDZ9qPQQry68nYBDqM20/qMVRdLiScBEJo+LUHIBWO6JJ+FWZqSO0xWVc9KBfYhqO0hcWutWLxrShOd6wkwbP6a9QsqFQjVMKX/0hWONLGoiasFuJBqQdRG1b8xNUChGLJj7kf3mHCBRKZsGpIQw6kcjgpb9ETGxquU+8+UwkXTIHGipOem7t/2ZYJwJVIlwum43yAJ91DfAtt+53LbpMWDWi3WxKCxsGPFEj6tSMmqWG5AYbIYbw3SCw8CbOPHHg8smjrs23MYrcbwpEAd+z8KzmIJN3JSTdmHdWFIZ511ti+7q2exl4q6+r9fAPBhAEeZeYN8m+FHAPwsgDGADzHz1+56FQpgk1qsC8kMFzNSIQmhWgtis88vgM55f3Ll4wvYeMzP6O+693k88eWHAQTK9jDzm+1S9EcGLO74ogVH/bmWRGHbMMrb/hEtPl3h9mP+vKPviETA9OUF0HIgJulLLOF6Bu1akCDYDgmmSkIT9Fi87kJdo9YgUWYayjyO+DzcSKo3WoAYahvf/xCfq650CKDLSDQFO5BVxHsPyq02aVe5HvWdZs3KPKp4LS6vFiQpRSADlSXVuV2B9Gt2Ls2D2lac4TI0A1fqVVGemZkJSU878N3L6Zqj06oY0mJSOufu1KExgRdi/AkFpCOUh73L02KQOpjLiajqtSOGW9gD7LBTirQgE9xJf8G9q/0UWtkFK8Lg26WEgwVjNvMeDVvCYNHvW9dlIstJHuzriET2E4b8JoBfB/Bb+ksiOgPgrwO4rL5+L4AL4c9PAPhP4e/vabYH7Jxh7yLHF7gk9QJJnHv43C2Mw4P4p+//GP7jEz8LALj5M1MUYefPXzmHIogPTc7PBKAyLVBuxtKRVD0wNmgDd8HS6S3UAdwyuzHE8bNeE/ra4VUsPet/pWqHsf2mEJ7UBrxdynUqVfc4ZuxqRHsa2DDayl1pOCJLmXur3eUslIgvJ1FK1VNDEnsaiUPNWIA/ejxo9ijXA0wTzksSmxdTlcXvSS7BtKqqUsxdWzhRykcwMmTkXpWfLJfCAIWXklR+xvVV8x1JqKRRkHqSciWAGBYwpfvLKkgLnICLxYRSCdv1WFrmrXqho/6LEW3dasfkOZnCj412yOm3pJYSbJNGjPZIqGI4Su4/jVW9tmAp1fecoCstoez7kzVLFbAcVzxKC4XrOVGt3y6BmwHBeahBG44zGs3QXw7M49ZgPO0lOMB+7K5hyF4q6sF+DcC/Rhal4gMAfou9fRHAKhGd3PfVdNZZZwfW3lCCk4g+AOAlZn6KKPNjTgO4ov59NXz3yr4ObKAIWDit/O1aizKQnW5+4zCa4z4c+PBn3qvYlRgnD3uuwY3PnkQvdvv1pOjNiy3aVZmVI98hWUJ52y9l01urye2tToyx/m2v5vTgI1dwZc23tG9fW0Av0Py3I05diVyxVDsGnIhSomI2CoYLrmVTUKrqFDNJ6BZjZNyZWs5xTw0MNVVrMWnbQ9Z6nZHMxJBPYT2YJMnKhhPmgaSdxm8UPQcSTkmdnI3jgQ3f0cPVoKz00chzzAhpjJKKbMQLsAPGnirtAGAo7Zva7jX8XYVCzaI8EHKqa7aBkD5Hz4opeTztSDAzxVRBwluoXh0FyiIgSq1TQ0KyUylvwhIoEDRzY4DoMQ4cmlDdqI5N0GwGGoSlJvWMzDaG4kIWgO2HG5wWaIPnu73QQ3l0O/4MsG2B16ME8ronCyIaAfg38CHIG7ZMRX1lzcfMlYpbGWhXA9hpWqB3IVDjPb2Cdsdf9sk/AV75qXDAl4a4ess/xOVNYOtN4qOWIdtcjCvB+6+2sFGPmSBlVEuCrisYHAbEt5+9B4PrYaTcV6OOjMzbpYQzM8o4E1JIMpXsNffk/pzSoKC+DFiTekAkLIMVF99zKagcRBwkKgzgEmD18mWK4/ESnbzORn/fUpoTdOPX/D7x/hI7FyvCXpIXS1smnwgVHpBiKVfhlz9WeAQDHRKRF8gEXsOOpRm30n2Qqs70ZHsfIqnJLl2Yig5iSVkBmFyfMVMl+SKwYJmG1ERLWQiX6aHECaJguchGXl7qW1AYH0Vp0QQQYDOpEku4WZvC2RAWrQkizzkDF0OY7SrdCI0L3L68Gp6BAw3uxJ68t72Rasj9AM4BeIqIXoBXSv8aEZ3AG1RRLzoV9c46O/D2uj0LZn4GwLH47zBhPB6qIf8TwD8nov8On9jcZOa7hiCpXVtj7AtGEbAMdq3F+IYHFvyV9z6DL3zyRwEA648ylu71cO+/fe5p/PanvZsxOwQg1KnZEpphqHtPjCSBdgvBPDQSErgep9W5ubyAIz/qReI3v3gMVfDgmvUK7aHApjVwiYOSasqTfRHzoBmaottfcbZSycNQyT2FLvIeQUwYqky8y9cGCv8yU3EIiCXMIatwASQJPZAkfDOR5O/hpqbrV1l4hz2Smqqb05PZqPtqX/sMvMdCct+xtdxwullXcIahuJN0AFQSVASexXvMwzjAxHtiiIegvSnl+UZZzBbSguBqQhG1Y6akcCwMahUHZwhHe4t1kiPEoEXbhG0akxjbwCo8GZcpcd2uj8BBYPn48U1sjX1JyFokPk5yENyHSojC7TH27mL7KZ0mFXUiugrg3zLzb9xh8/8NXza9CF86/Uf7ugoKL48qW7pK/UgzgyrkFD7zzEMI/WJY+/HrePWKJ+P9qH1b2nd6toa55YNInVnnoZUS3kwmDu47uMARV+yIkvVgg3BzdhQAYApg94z/Dzt0oBB/cs8l8BWXlA3aZKqNWIRpFJLRGfXjMRJJr5mjtEuxNQRlqqokGtAFRqK9Y1KhgorLdf6CoSoZ6to1WCqbONS+8YBsONPY2PNZqHwEOYjgkA6VVCMQF6wSN2oiUG0O8+xd2SQcfxuS6yymKlTRbelZNYdUDkddfnzuKkQsxkU+AaoJJ+tViYxYJYNCmNA2RWpLGo5m6IWqBxFjvOPD6mZSJbEpEHswFYDqlkETVqTr3z0MLKuuvPgbr9ZBmAbAjpTaqCHQjZ5MHvuwu04Wd1BR1/9/n/rMAP7Zvs/eWWed/YWxAwH3BsJkqCY5U1PCPvTXiyTrtvRclaDO688excOPvwgAeP6T5zCInLtLRroppyaRvTguUjUCi63AvWsDDm2/7dBKi3pRJgLXwU1g85BKXMUW+EkhPQIKk5CHGHu4sSSri06GAsIb6bEVaumPC1Yhx6dGrZJqRc4wEaWEG7YS6TxHcvhse+VNvKY9Pa5YivN0rxZ2DWCar+JkrFnxgVlKv38OLhO8Tca4pUWXKV/BE7+mJXlOOlTR5uZWfwXDjqCvQmguJUTssfIspEoz36YfMRq2z75VAfDtCvGZtSYi3tFUBfqhv2NWlygCw1VROrR1OGjf+T8AmrZCLwgpcwHUhXqdwzZFZVN7RNOSx3UAkmx/HdHIgZksyAXcvY4hAyquXmhhbvhs8OwQY+VRr6S+fmUN33rZsxWPZsD2g35WMONCYtuSwbF81XMwA+kNcbFyYCk1ddC0AK340eEWWkwDtt+OCt9khhAyxRyAE5o/cuQbhoBMJCZ7mdXI1MjHLOZOYkJOEJY1Ze5tNJ1hN5YFoapGgdcNkRdO5ynSoaq5a9ijZ4CsmiAMqwqL3H92fyrcyUIfVfaVCSXPQexVGgbUi6iPM2cC0FKhwfztqNAqhq+mlt+SKwkbUm8MefSlv1fsWe0h1UjWDlXZXM2oVDmYqGFLnPIUbSOvI6mwyVqTttdUetx3aM6HxrPtSioslUMRSqfsTOppMgObl95/BwAAAuxJREFUwlE48mzgXW9IZ5119v22A+FZ+Ey1FwSObrodOpSvej/QnZqmakV92GIaZuB/9Zc/jg9/9j0AgMkJTjBfN3SSZVfhAE0NHEXWEZNmYhrYJA/HPVFdr5bqFLa0C5S4OWlagEOSiWqDakcqAAnCXefuMxBJUuISi7yHISULFXPTpBCaeMlZZa78PIfiXrodTml/UJ1XQO4kEZDcdzf/fbiXlmSVUv+XAGpGVR8KAVBlyVmNW1DJX0LeFp7ButV3mUSiDpsCWEEnt3WyMQthCqANlQwaklRPgNf8fgAwC7+7mRmRQCgAO5LzRO+S+wwulWehVvGikAfLqqpUT70bYwqGCezHREgk0qbk9BmVg9vy258+v4GNIBfQ1GU6vrMKc8GEInjWrjF+nN/BO9vLDsRkwYQcyAJgdLVEvRwy+FcH6SV87C2X8PRVL3D6hdv3J90Dc3YXVXghmraHOHpMC2npNQyEvg9qBDTkZibFeOVikzgCql6bJBTNqEk9JjX35eKHDZqVcB+NcGFQayTTHOn7Bk4y/UpbNAOFNaQmAhV6qGeEMn+Zs3JtqszwXM5AvUAq45+5+3H7UsrHWdyv5PhcqePdPdx9nUMgyKSnXtQYGs1vD4jrj1LNEE6FPA1lreHZeVW0pjknkpm8bJ2AbJWTqgOQEJdZhSnsZxcsXCDXpcLBNSJrKPkIyu6LejGP4GDiORmoQnmv329RhgmidQaDKoThbYEmll2ZYEOLf1k6zC77jkZDjDoweo+WZtiN4kOW0jtChUsTBxUMDO3rii26MKSzzjrblxG/HnD4/6+LIFoHsAtg4wdw+iPdeX/oz92d9852lpmP7mfDAzFZAAARfYWZH+/O+8N53h/kubvzfn+sC0M666yzfVk3WXTWWWf7soM0Wfzn7rw/1Of9QZ67O+/3wQ5MzqKzzjo72HaQPIvOOuvsAFs3WXTWWWf7sm6y6KyzzvZl3WTRWWed7cu6yaKzzjrbl/1f32i4WSroukoAAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "for i in range(0,32):\n", - " plt.matshow(first_layer_activation[0, :, :,i], cmap='viridis')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Visualizing every layer activation" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "layer_names = []\n", - "for layer in model.layers[:9]:\n", - " layer_names.append(layer.name)\n", - "images_per_row = 16\n", - "\n", - "# Get CONV layers only\n", - "conv_layer_names = []\n", - "for layer_name in layer_names:\n", - " if 'conv2d' in layer_name:\n", - " conv_layer_names.append(layer_name)\n", - "\n", - "for layer_name, layer_activation in zip(conv_layer_names, activations):\n", - " n_features = layer_activation.shape[-1]\n", - " size = layer_activation.shape[1]\n", - " \n", - " n_cols = n_features // images_per_row\n", - " display_grid = np.zeros((size * n_cols, images_per_row * size))\n", - " \n", - " for col in range(n_cols):\n", - " for row in range(images_per_row):\n", - " channel_image = layer_activation[0,:, :,col * images_per_row + row]\n", - " \n", - " channel_image -= channel_image.mean()\n", - " channel_image /= channel_image.std()\n", - " channel_image *= 64\n", - " channel_image += 128\n", - " channel_image = np.clip(channel_image, 0, 255).astype('uint8')\n", - " display_grid[col * size : (col + 1) * size,\n", - " row * size : (row + 1) * size] = channel_image\n", - " \n", - " scale = 1. / size\n", - " plt.figure(figsize=(scale * display_grid.shape[1],\n", - " scale * display_grid.shape[0]))\n", - " plt.title(layer_name)\n", - " plt.grid(False)\n", - " plt.imshow(display_grid, aspect='auto', cmap='viridis')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Obersavations\n", - " \n", - "- You an see that the first layers act mainly as different types of edge detectors and activations retain most of the input image.\n", - "\n", - "- As we go higher up the network to the 2nd and 3rd layers we can see the activations become more abstract and harder to interpret visually. But you may notice they retain high level visual concepts such as the cat eyes or outline or even cat ears.\n", - "\n", - "- Many blank activations in the later deeper stages, this means that pattern encoded by those filters were not activated by the input image.\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:73c18ac6b358765c8bb46191672f6823b864600ccf3d247d911230eec5cb08e6 +size 2998824 diff --git a/9. Visualizing What CNNs 'see' & Filter Visualization/9.3B Visualizing Filter Patterns - VGG16.ipynb b/9. Visualizing What CNNs 'see' & Filter Visualization/9.3B Visualizing Filter Patterns - VGG16.ipynb index 5ec504fa4de1ec43079471d066cecc6523730cbd..ae4f716373a84f96cc039ff6ba13af4ec4c62e44 100644 --- a/9. Visualizing What CNNs 'see' & Filter Visualization/9.3B Visualizing Filter Patterns - VGG16.ipynb +++ b/9. Visualizing What CNNs 'see' & Filter Visualization/9.3B Visualizing Filter Patterns - VGG16.ipynb @@ -1,269 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Displaying the Patterns Encoded By Filters'\n", - "\n", - "We are going to take a look at the VG16 Network and use gradient ascent in the input space. \n", - "\n", - "This means that, from starting with a blank image, we apply gradient descent to the value of this input image of a convnet so as maximize the response of a specific filter. \n", - "- https://github.com/fchollet/deep-learning-with-python-notebooks/blob/master/5.4-visualizing-what-convnets-learn.ipynb" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "from keras.applications import VGG16\n", - "from keras import backend as K\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "model = VGG16(weights='imagenet', include_top=False)\n", - "\n", - "layer_name = 'block3_conv1'\n", - "filter_index = 0\n", - "\n", - "layer_output = model.get_layer(layer_name).output\n", - "loss = K.mean(layer_output[:, :, :, filter_index])\n", - "\n", - "# Calling gradeints returns a list of tensors of size 1\n", - "# Therefore we only keep the first element\n", - "grads = K.gradients(loss, model.input)[0]\n", - "\n", - "# We at 0.00001 to ensure we don't divide by 0\n", - "grads /= (K.sqrt(K.mean(K.square(grads))) + 1e-5)\n", - "\n", - "iterate = K.function([model.input], [loss, grads])\n", - "\n", - "loss_value, grads_value = iterate([np.zeros((1, 150, 150, 3))])\n", - "\n", - "# We start with a blank gray image with some noise\n", - "input_img_data = np.random.random((1, 150, 150, 3)) * 20 + 128.\n", - "\n", - "# Size of each gradient step \n", - "step = 1.\n", - "\n", - "# We run for 40 steps\n", - "for i in range(40):\n", - " # Calculates the loss and gradient values \n", - " loss_value, grads_value = iterate([input_img_data])\n", - " \n", - " # Adjusts the input image in the direction that maximizes loss\n", - " input_img_data += grads_value * step" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# Helper function that converts a tensor into an image\n", - "def deprocess_image(x):\n", - " x -= x.mean()\n", - " x /= (x.std() + 1e-5)\n", - " x *= 0.1\n", - " x += 0.5\n", - " x = np.clip(x, 0, 1)\n", - " x *= 255\n", - " x = np.clip(x, 0, 255).astype('uint8')\n", - " return x" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### A function that generates the filters visualizations" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "def generate_pattern(layer_name, filter_index, size=150):\n", - " layer_output = model.get_layer(layer_name).output\n", - " loss = K.mean(layer_output[:, :, :, filter_index])\n", - " \n", - " grads = K.gradients(loss, model.input)[0]\n", - " grads /= (K.sqrt(K.mean(K.square(grads))) + 1e-5)\n", - " iterate = K.function([model.input], [loss, grads])\n", - " input_img_data = np.random.random((1, size, size, 3)) * 20 + 128.\n", - " \n", - " step = 1.\n", - " \n", - " for i in range(40):\n", - " loss_value, grads_value = iterate([input_img_data])\n", - " input_img_data += grads_value * step\n", - " img = input_img_data[0]\n", - " \n", - " return deprocess_image(img)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Finally, plotting the filter pattern that the zeroth channel in layer block3_conv1 responds to maximally" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.imshow(generate_pattern('block3_conv1', 1))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "layer_name = 'block1_conv1'\n", - "size = 64\n", - "margin = 5\n", - "\n", - "results = np.zeros((8 * size + 7 * margin, 8 * size + 7 * margin, 3))\n", - "\n", - "for i in range(8):\n", - " for j in range(8):\n", - " filter_img = generate_pattern(layer_name, i + (j * 8), size=size)\n", - " horizontal_start = i * size + i * margin\n", - " horizontal_end = horizontal_start + size\n", - " vertical_start = j * size + j * margin\n", - " vertical_end = vertical_start + size\n", - " results[horizontal_start: horizontal_end,\n", - " vertical_start: vertical_end, :] = filter_img\n", - " \n", - "plt.figure(figsize=(20, 20))\n", - "plt.imshow(results)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:dd8c5081ecb5dabb219a80dd02dbbeb622cc4b80dd184fe5c63f3cef20977a71 +size 127586 diff --git a/9. Visualizing What CNNs 'see' & Filter Visualization/9.4 Heat Map Visualizations of Class Activation.ipynb b/9. Visualizing What CNNs 'see' & Filter Visualization/9.4 Heat Map Visualizations of Class Activation.ipynb index 27360707cc38c013974d0fb8c104d2c349996628..c311742a70c56eb7c7a2c9f4f40853d2b9c8511e 100644 --- a/9. Visualizing What CNNs 'see' & Filter Visualization/9.4 Heat Map Visualizations of Class Activation.ipynb +++ b/9. Visualizing What CNNs 'see' & Filter Visualization/9.4 Heat Map Visualizations of Class Activation.ipynb @@ -1,277 +1,3 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Visualizing Heatmaps of Class Activation\n", - "\n", - "Heatmaps of class activations are very helpful in identifying which parts of an image led the CNN to the final classification. It becomes very important when analyzing misclassified data.\n", - "\n", - "We are going to use an implementation of Class Activation Map (CAM) that was used in the paper, [**\"Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization\"**](https://arxiv.org/abs/1610.02391)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Loading VGG16 with pretrained weights" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using TensorFlow backend.\n" - ] - } - ], - "source": [ - "from keras.applications import VGG16\n", - "from keras import backend as K\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from keras.preprocessing import image\n", - "from keras.applications.vgg16 import preprocess_input, decode_predictions\n", - "\n", - "model = VGG16(weights='imagenet')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Loading our test image of a Tiger" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "img_path = '/home/deeplearningcv/DeepLearningCV/images/tiger2.jpg'\n", - "\n", - "img1 = image.load_img(img_path)\n", - "plt.imshow(img1);\n", - "\n", - "img = image.load_img(img_path, target_size=(224, 224))\n", - "\n", - "x = image.img_to_array(img)\n", - "x = np.expand_dims(x, axis=0)\n", - "x = preprocess_input(x)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Getting our VGG16 ImageNet Prediction for the input image" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Predicted: [('n02129604', 'tiger', 0.74897724), ('n02123159', 'tiger_cat', 0.25051445), ('n02128925', 'jaguar', 0.00031675558)]\n" - ] - } - ], - "source": [ - "preds = model.predict(x)\n", - "print('Predicted:', decode_predictions(preds, top=3)[0])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Getting the class index" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "292" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.argmax(preds[0])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Output the feature map of the block5_conv3 layer, the last convolutional layer in VGG16" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "tiger_output = model.output[:, 292]\n", - "last_conv_layer = model.get_layer('block5_conv3')\n", - "\n", - "# Gradients of the Tiger class wrt to the block5_conv3 filer\n", - "grads = K.gradients(tiger_output, last_conv_layer.output)[0]\n", - "\n", - "# Each entry is the mean intensity of the gradient over a specific feature-map channel \n", - "pooled_grads = K.mean(grads, axis=(0, 1, 2))\n", - "\n", - "# Accesses the values we just defined given our sample image\n", - "iterate = K.function([model.input], [pooled_grads, last_conv_layer.output[0]])\n", - "\n", - "# Values of pooled_grads_value, conv_layer_output_value given our input image\n", - "pooled_grads_value, conv_layer_output_value = iterate([x])\n", - "\n", - "# We multiply each channel in the feature-map array by the 'importance' \n", - "# of this channel regarding the input image \n", - "for i in range(512):\n", - " #channel-wise mean of the resulting feature map is the Heatmap of the CAM\n", - " conv_layer_output_value[:, :, i] *= pooled_grads_value[i]\n", - "\n", - "heatmap = np.mean(conv_layer_output_value, axis=-1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Ploting out Heat-Map" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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d1XIg2L5a0iWSrogpzm469HbwPQPzW20HoAIt3QrH9hpJN0j6XEQcaO+QANSl1dvB/6ukhZLW237K9vc6PE4AFWj1dvB3dGAsAGrGmYoACgIBQEEgAChaOsrQMksT/dNekn3k8m0v5Np3d6fqJw/kDqiMj49Pv9BU3Pp7J+W//phMzp0xOZGrn+P8qU+2Xrz1P2e0GGsIAAoCAUBBIAAoCAQABYEAoCAQABQEAoCCQABQEAgACgIBQEEgACgIBAAFgQCgIBAAFAQCgMJTzKDe/mb2XkkvTbHIMZLeqGg49J9d/efy115F/5Mi4mPTLVRpIEzH9saIGKL/3Os/l7/22dD/IDYZABQEAoBitgXCOvrP2f5z+WufDf0lzbJ9CADqNdvWEADUiEAAUBAIAAoCAUBBIAAo/heRrnE6Rdpu5QAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "heatmap = np.maximum(heatmap, 0)\n", - "heatmap /= np.max(heatmap)\n", - "plt.matshow(heatmap)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Using OpenCV to Overlay the heatmap onto our input image" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import cv2\n", - "\n", - "img = cv2.imread(img_path)\n", - "heatmap = cv2.resize(heatmap, (img.shape[1], img.shape[0]))\n", - "heatmap = np.uint8(255 * heatmap)\n", - "heatmap = cv2.applyColorMap(heatmap, cv2.COLORMAP_JET)\n", - "superimposed_img = heatmap * 0.4 + img\n", - "\n", - "save_img_path = '/home/deeplearningcv/DeepLearningCV/images/tiger_cam.jpg'\n", - "\n", - "cv2.imwrite(save_img_path, superimposed_img)\n", - "\n", - "img1 = image.load_img(save_img_path)\n", - "plt.imshow(img1);" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} +version https://git-lfs.github.com/spec/v1 +oid sha256:6146e043ad2824c9181be0d498f9d0ac18cbdcbffeee68672d8f3c71344c7bf1 +size 368897