yolov2-tiny-voc, yolo-v3
Browse files- .gitattributes +2 -0
- YOLO/yolo-v3/yolov3-tiny/coco.names +80 -0
- YOLO/yolo-v3/yolov3-tiny/yolov3-tiny.cfg +182 -0
- YOLO/yolo-v3/yolov3-tiny/yolov3-tiny.weights +3 -0
- YOLO/yolov2-tiny-voc/voc.names +20 -0
- YOLO/yolov2-tiny-voc/yolov2-tiny-voc.cfg +138 -0
- YOLO/yolov2-tiny-voc/yolov2-tiny-voc.weights +3 -0
.gitattributes
CHANGED
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@@ -59,3 +59,5 @@ transnet-v2/test_data/bbc_02_clip.mp4 filter=lfs diff=lfs merge=lfs -text
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| 59 |
transnet-v2/transnetv2-weights/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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| 60 |
YOLO/YOLO/yolo-v3/yolov3-tiny/yolov3-tiny.weights filter=lfs diff=lfs merge=lfs -text
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| 61 |
YOLO/YOLO/yolov2-tiny-voc/yolov2-tiny-voc.weights filter=lfs diff=lfs merge=lfs -text
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| 59 |
transnet-v2/transnetv2-weights/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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| 60 |
YOLO/YOLO/yolo-v3/yolov3-tiny/yolov3-tiny.weights filter=lfs diff=lfs merge=lfs -text
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| 61 |
YOLO/YOLO/yolov2-tiny-voc/yolov2-tiny-voc.weights filter=lfs diff=lfs merge=lfs -text
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| 62 |
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YOLO/yolo-v3/yolov3-tiny/yolov3-tiny.weights filter=lfs diff=lfs merge=lfs -text
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| 63 |
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YOLO/yolov2-tiny-voc/yolov2-tiny-voc.weights filter=lfs diff=lfs merge=lfs -text
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YOLO/yolo-v3/yolov3-tiny/coco.names
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@@ -0,0 +1,80 @@
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person
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bicycle
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car
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motorbike
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aeroplane
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bus
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train
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truck
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boat
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traffic light
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fire hydrant
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stop sign
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parking meter
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bench
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bird
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cat
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dog
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horse
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sheep
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cow
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elephant
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bear
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zebra
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giraffe
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backpack
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umbrella
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handbag
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tie
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suitcase
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frisbee
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skis
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snowboard
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sports ball
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kite
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baseball bat
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baseball glove
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skateboard
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surfboard
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tennis racket
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bottle
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wine glass
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cup
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fork
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knife
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spoon
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bowl
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banana
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apple
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sandwich
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orange
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broccoli
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carrot
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hot dog
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pizza
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donut
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cake
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chair
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sofa
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pottedplant
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bed
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diningtable
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toilet
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tvmonitor
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laptop
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mouse
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remote
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keyboard
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cell phone
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microwave
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oven
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toaster
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sink
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refrigerator
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book
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clock
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vase
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scissors
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| 78 |
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teddy bear
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| 79 |
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hair drier
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toothbrush
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YOLO/yolo-v3/yolov3-tiny/yolov3-tiny.cfg
ADDED
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@@ -0,0 +1,182 @@
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| 1 |
+
[net]
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| 2 |
+
# Testing
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| 3 |
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batch=1
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| 4 |
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subdivisions=1
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| 5 |
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# Training
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| 6 |
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# batch=64
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| 7 |
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# subdivisions=2
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| 8 |
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width=416
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| 9 |
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height=416
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| 10 |
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channels=3
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| 11 |
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momentum=0.9
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decay=0.0005
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| 13 |
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angle=0
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| 14 |
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saturation = 1.5
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| 15 |
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exposure = 1.5
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| 16 |
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hue=.1
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| 17 |
+
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| 18 |
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learning_rate=0.001
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| 19 |
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burn_in=1000
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| 20 |
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max_batches = 500200
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| 21 |
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policy=steps
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| 22 |
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steps=400000,450000
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| 23 |
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scales=.1,.1
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| 24 |
+
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| 25 |
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[convolutional]
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| 26 |
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batch_normalize=1
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| 27 |
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filters=16
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| 28 |
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size=3
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| 29 |
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stride=1
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| 30 |
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pad=1
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| 31 |
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activation=leaky
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| 32 |
+
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| 33 |
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[maxpool]
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| 34 |
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size=2
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| 35 |
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stride=2
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| 36 |
+
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| 37 |
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[convolutional]
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| 38 |
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batch_normalize=1
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| 39 |
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filters=32
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| 40 |
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size=3
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| 41 |
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stride=1
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| 42 |
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pad=1
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| 43 |
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activation=leaky
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| 44 |
+
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| 45 |
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[maxpool]
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| 46 |
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size=2
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| 47 |
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stride=2
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| 48 |
+
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| 49 |
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[convolutional]
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| 50 |
+
batch_normalize=1
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| 51 |
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filters=64
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| 52 |
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size=3
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| 53 |
+
stride=1
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| 54 |
+
pad=1
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| 55 |
+
activation=leaky
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| 56 |
+
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| 57 |
+
[maxpool]
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| 58 |
+
size=2
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| 59 |
+
stride=2
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| 60 |
+
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| 61 |
+
[convolutional]
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| 62 |
+
batch_normalize=1
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| 63 |
+
filters=128
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| 64 |
+
size=3
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| 65 |
+
stride=1
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| 66 |
+
pad=1
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| 67 |
+
activation=leaky
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| 68 |
+
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| 69 |
+
[maxpool]
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| 70 |
+
size=2
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| 71 |
+
stride=2
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| 72 |
+
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| 73 |
+
[convolutional]
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| 74 |
+
batch_normalize=1
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| 75 |
+
filters=256
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| 76 |
+
size=3
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| 77 |
+
stride=1
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| 78 |
+
pad=1
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| 79 |
+
activation=leaky
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| 80 |
+
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| 81 |
+
[maxpool]
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| 82 |
+
size=2
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| 83 |
+
stride=2
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| 84 |
+
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| 85 |
+
[convolutional]
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| 86 |
+
batch_normalize=1
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| 87 |
+
filters=512
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| 88 |
+
size=3
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| 89 |
+
stride=1
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| 90 |
+
pad=1
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| 91 |
+
activation=leaky
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| 92 |
+
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| 93 |
+
[maxpool]
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| 94 |
+
size=2
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| 95 |
+
stride=1
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| 96 |
+
|
| 97 |
+
[convolutional]
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| 98 |
+
batch_normalize=1
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| 99 |
+
filters=1024
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| 100 |
+
size=3
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| 101 |
+
stride=1
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| 102 |
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pad=1
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| 103 |
+
activation=leaky
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| 104 |
+
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| 105 |
+
###########
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| 106 |
+
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| 107 |
+
[convolutional]
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| 108 |
+
batch_normalize=1
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| 109 |
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filters=256
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| 110 |
+
size=1
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| 111 |
+
stride=1
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| 112 |
+
pad=1
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| 113 |
+
activation=leaky
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| 114 |
+
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| 115 |
+
[convolutional]
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| 116 |
+
batch_normalize=1
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| 117 |
+
filters=512
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| 118 |
+
size=3
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| 119 |
+
stride=1
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| 120 |
+
pad=1
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| 121 |
+
activation=leaky
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| 122 |
+
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| 123 |
+
[convolutional]
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| 124 |
+
size=1
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| 125 |
+
stride=1
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| 126 |
+
pad=1
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| 127 |
+
filters=255
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| 128 |
+
activation=linear
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| 129 |
+
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| 130 |
+
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| 131 |
+
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| 132 |
+
[yolo]
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| 133 |
+
mask = 3,4,5
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| 134 |
+
anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319
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| 135 |
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classes=80
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| 136 |
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num=6
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| 137 |
+
jitter=.3
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| 138 |
+
ignore_thresh = .7
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| 139 |
+
truth_thresh = 1
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| 140 |
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random=1
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| 141 |
+
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| 142 |
+
[route]
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| 143 |
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layers = -4
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| 144 |
+
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| 145 |
+
[convolutional]
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| 146 |
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batch_normalize=1
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| 147 |
+
filters=128
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| 148 |
+
size=1
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| 149 |
+
stride=1
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| 150 |
+
pad=1
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| 151 |
+
activation=leaky
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| 152 |
+
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| 153 |
+
[upsample]
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| 154 |
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stride=2
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| 155 |
+
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| 156 |
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[route]
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| 157 |
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layers = -1, 8
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| 158 |
+
|
| 159 |
+
[convolutional]
|
| 160 |
+
batch_normalize=1
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| 161 |
+
filters=256
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| 162 |
+
size=3
|
| 163 |
+
stride=1
|
| 164 |
+
pad=1
|
| 165 |
+
activation=leaky
|
| 166 |
+
|
| 167 |
+
[convolutional]
|
| 168 |
+
size=1
|
| 169 |
+
stride=1
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| 170 |
+
pad=1
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| 171 |
+
filters=255
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| 172 |
+
activation=linear
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| 173 |
+
|
| 174 |
+
[yolo]
|
| 175 |
+
mask = 0,1,2
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| 176 |
+
anchors = 10,14, 23,27, 37,58, 81,82, 135,169, 344,319
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| 177 |
+
classes=80
|
| 178 |
+
num=6
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| 179 |
+
jitter=.3
|
| 180 |
+
ignore_thresh = .7
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| 181 |
+
truth_thresh = 1
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| 182 |
+
random=1
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YOLO/yolo-v3/yolov3-tiny/yolov3-tiny.weights
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:dccea06f59b781ec1234ddf8d1e94b9519a97f4245748a7d4db75d5b7080a42c
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| 3 |
+
size 35434956
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YOLO/yolov2-tiny-voc/voc.names
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@@ -0,0 +1,20 @@
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| 1 |
+
aeroplane
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| 2 |
+
bicycle
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| 3 |
+
bird
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| 4 |
+
boat
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| 5 |
+
bottle
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| 6 |
+
bus
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| 7 |
+
car
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| 8 |
+
cat
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| 9 |
+
chair
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| 10 |
+
cow
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| 11 |
+
diningtable
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| 12 |
+
dog
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| 13 |
+
horse
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| 14 |
+
motorbike
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| 15 |
+
person
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| 16 |
+
pottedplant
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| 17 |
+
sheep
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| 18 |
+
sofa
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| 19 |
+
train
|
| 20 |
+
tvmonitor
|
YOLO/yolov2-tiny-voc/yolov2-tiny-voc.cfg
ADDED
|
@@ -0,0 +1,138 @@
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|
| 1 |
+
[net]
|
| 2 |
+
# Testing
|
| 3 |
+
batch=1
|
| 4 |
+
subdivisions=1
|
| 5 |
+
# Training
|
| 6 |
+
# batch=64
|
| 7 |
+
# subdivisions=2
|
| 8 |
+
width=416
|
| 9 |
+
height=416
|
| 10 |
+
channels=3
|
| 11 |
+
momentum=0.9
|
| 12 |
+
decay=0.0005
|
| 13 |
+
angle=0
|
| 14 |
+
saturation = 1.5
|
| 15 |
+
exposure = 1.5
|
| 16 |
+
hue=.1
|
| 17 |
+
|
| 18 |
+
learning_rate=0.001
|
| 19 |
+
max_batches = 40200
|
| 20 |
+
policy=steps
|
| 21 |
+
steps=-1,100,20000,30000
|
| 22 |
+
scales=.1,10,.1,.1
|
| 23 |
+
|
| 24 |
+
[convolutional]
|
| 25 |
+
batch_normalize=1
|
| 26 |
+
filters=16
|
| 27 |
+
size=3
|
| 28 |
+
stride=1
|
| 29 |
+
pad=1
|
| 30 |
+
activation=leaky
|
| 31 |
+
|
| 32 |
+
[maxpool]
|
| 33 |
+
size=2
|
| 34 |
+
stride=2
|
| 35 |
+
|
| 36 |
+
[convolutional]
|
| 37 |
+
batch_normalize=1
|
| 38 |
+
filters=32
|
| 39 |
+
size=3
|
| 40 |
+
stride=1
|
| 41 |
+
pad=1
|
| 42 |
+
activation=leaky
|
| 43 |
+
|
| 44 |
+
[maxpool]
|
| 45 |
+
size=2
|
| 46 |
+
stride=2
|
| 47 |
+
|
| 48 |
+
[convolutional]
|
| 49 |
+
batch_normalize=1
|
| 50 |
+
filters=64
|
| 51 |
+
size=3
|
| 52 |
+
stride=1
|
| 53 |
+
pad=1
|
| 54 |
+
activation=leaky
|
| 55 |
+
|
| 56 |
+
[maxpool]
|
| 57 |
+
size=2
|
| 58 |
+
stride=2
|
| 59 |
+
|
| 60 |
+
[convolutional]
|
| 61 |
+
batch_normalize=1
|
| 62 |
+
filters=128
|
| 63 |
+
size=3
|
| 64 |
+
stride=1
|
| 65 |
+
pad=1
|
| 66 |
+
activation=leaky
|
| 67 |
+
|
| 68 |
+
[maxpool]
|
| 69 |
+
size=2
|
| 70 |
+
stride=2
|
| 71 |
+
|
| 72 |
+
[convolutional]
|
| 73 |
+
batch_normalize=1
|
| 74 |
+
filters=256
|
| 75 |
+
size=3
|
| 76 |
+
stride=1
|
| 77 |
+
pad=1
|
| 78 |
+
activation=leaky
|
| 79 |
+
|
| 80 |
+
[maxpool]
|
| 81 |
+
size=2
|
| 82 |
+
stride=2
|
| 83 |
+
|
| 84 |
+
[convolutional]
|
| 85 |
+
batch_normalize=1
|
| 86 |
+
filters=512
|
| 87 |
+
size=3
|
| 88 |
+
stride=1
|
| 89 |
+
pad=1
|
| 90 |
+
activation=leaky
|
| 91 |
+
|
| 92 |
+
[maxpool]
|
| 93 |
+
size=2
|
| 94 |
+
stride=1
|
| 95 |
+
|
| 96 |
+
[convolutional]
|
| 97 |
+
batch_normalize=1
|
| 98 |
+
filters=1024
|
| 99 |
+
size=3
|
| 100 |
+
stride=1
|
| 101 |
+
pad=1
|
| 102 |
+
activation=leaky
|
| 103 |
+
|
| 104 |
+
###########
|
| 105 |
+
|
| 106 |
+
[convolutional]
|
| 107 |
+
batch_normalize=1
|
| 108 |
+
size=3
|
| 109 |
+
stride=1
|
| 110 |
+
pad=1
|
| 111 |
+
filters=1024
|
| 112 |
+
activation=leaky
|
| 113 |
+
|
| 114 |
+
[convolutional]
|
| 115 |
+
size=1
|
| 116 |
+
stride=1
|
| 117 |
+
pad=1
|
| 118 |
+
filters=125
|
| 119 |
+
activation=linear
|
| 120 |
+
|
| 121 |
+
[region]
|
| 122 |
+
anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52
|
| 123 |
+
bias_match=1
|
| 124 |
+
classes=20
|
| 125 |
+
coords=4
|
| 126 |
+
num=5
|
| 127 |
+
softmax=1
|
| 128 |
+
jitter=.2
|
| 129 |
+
rescore=1
|
| 130 |
+
|
| 131 |
+
object_scale=5
|
| 132 |
+
noobject_scale=1
|
| 133 |
+
class_scale=1
|
| 134 |
+
coord_scale=1
|
| 135 |
+
|
| 136 |
+
absolute=1
|
| 137 |
+
thresh = .6
|
| 138 |
+
random=1
|
YOLO/yolov2-tiny-voc/yolov2-tiny-voc.weights
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2f2f0af3c8915093d43843311ddc34f3b7838da9e9b42171c1adbba15834f196
|
| 3 |
+
size 63471556
|