AI_Hub_Models_Indy
#1
by
indyzhu
- opened
- README.md +12 -1
- aotgan/aotgan.onnx +3 -0
- convnext_tiny_fp16/convnext_tiny_fp16.onnx +3 -0
- deeplabv3_plus_mobilenet/deeplabv3_plus_mobilenet.onnx +3 -0
- deeplabv3_plus_mobilenet_fp16/deeplabv3_plus_mobilenet_fp16.onnx +3 -0
- deeplabv3_resnet50/deeplabv3_resnet50.onnx +3 -0
- detr_resnet101/detr_resnet101.onnx +3 -0
- detr_resnet101_dc5/detr_resnet101_dc5.onnx +3 -0
- detr_resnet101_dc5_fp16/detr_resnet101_dc5_fp16.onnx +3 -0
- detr_resnet101_fp16/detr_resnet101_fp16.onnx +3 -0
- detr_resnet50/detr_resnet50.onnx +3 -0
- detr_resnet50_dc5/detr_resnet50_dc5.onnx +3 -0
- detr_resnet50_dc5_fp16/detr_resnet50_dc5_fp16.onnx +3 -0
- detr_resnet50_fp16/detr_resnet50_fp16.onnx +3 -0
- efficientnet_b0_fp16/efficientnet_b0_fp16.onnx +3 -0
- fcn_resnet50/fcn_resnet50.onnx +3 -0
- fcn_resnet50_fp16/fcn_resnet50_fp16.onnx +3 -0
- ffnet_122ns_lowres_fp16/ffnet_122ns_lowres_fp16.onnx +3 -0
- ffnet_40s_fp16/ffnet_40s_fp16.onnx +3 -0
- ffnet_54s_fp16/ffnet_54s_fp16.onnx +3 -0
- ffnet_78s_fp16/ffnet_78s_fp16.onnx +3 -0
- ffnet_78s_lowres_fp16/ffnet_78s_lowres_fp16.onnx +3 -0
- googlenet_fp16/googlenet_fp16.onnx +3 -0
- hrnet_pose_fp16/hrnet_pose_fp16.onnx +3 -0
- huggingface_wavlm_base_plus/huggingface_wavlm_base_plus.onnx +3 -0
- inception_v3_fp16/inception_v3_fp16.onnx +3 -0
- mnasnet05_fp16/mnasnet05_fp16.onnx +3 -0
- mobilenet_v2_fp16/mobilenet_v2_fp16.onnx +3 -0
- quicksrnetlarge/quicksrnetlarge.onnx +3 -0
- quicksrnetlarge_fp16/quicksrnetlarge_fp16.onnx +3 -0
- quicksrnetmedium_fp16/quicksrnetmedium_fp16.onnx +3 -0
- quicksrnetsmall_fp16/quicksrnetsmall_fp16.onnx +3 -0
- regnet_fp16/regnet_fp16.onnx +3 -0
- resnet101_fp16/resnet101_fp16.onnx +3 -0
- resnet18_fp16/resnet18_fp16.onnx +3 -0
- resnet50_fp16/resnet50_fp16.onnx +3 -0
- resnext101_fp16/resnext101_fp16.onnx +3 -0
- resnext50_fp16/resnext50_fp16.onnx +3 -0
- sesr_m5_fp16/sesr_m5_fp16.onnx +3 -0
- shufflenet_v2/shufflenet_v2.onnx +3 -0
- shufflenet_v2_fp16/shufflenet_v2_fp16.onnx +3 -0
- squeezenet1_1_fp16/squeezenet1_1_fp16.onnx +3 -0
- swin_base/swin_base.onnx +3 -0
- unet_segmentation_fp16/unet_segmentation_fp16.onnx +3 -0
- wideresnet50_fp16/wideresnet50_fp16.onnx +3 -0
- xlsr_fp16/xlsr_fp16.onnx +3 -0
README.md
CHANGED
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This repository contains compiled models optimized for DirectML (DML) from the Qualcomm AI Hub models, designed specifically for the NPU.
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## License
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-
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- The license for the original implementation of **ConvNext-Tiny** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **EfficientNet-B0** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **ESRGAN** can be found [here](https://github.com/xinntao/ESRGAN/blob/master/LICENSE).
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- The license for the original implementation of **FastSam-S** can be found [here](https://github.com/CASIA-IVA-Lab/FastSAM/blob/main/LICENSE).
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- The license for the original implementation of **FastSam-X** can be found [here](https://github.com/CASIA-IVA-Lab/FastSAM/blob/main/LICENSE).
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- The license for the original implementation of **FFNet-40S** can be found [here](https://github.com/Qualcomm-AI-research/FFNet/blob/master/LICENSE).
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- The license for the original implementation of **FFNet-54S** can be found [here](https://github.com/Qualcomm-AI-research/FFNet/blob/master/LICENSE).
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- The license for the original implementation of **FFNet-78S** can be found [here](https://github.com/Qualcomm-AI-research/FFNet/blob/master/LICENSE).
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- The license for the original implementation of **FFNet-122NS-LowRes** can be found [here](https://github.com/Qualcomm-AI-research/FFNet/blob/master/LICENSE).
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- The license for the original implementation of **GoogLeNet** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **HRNetPose** can be found [here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf).
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- The license for the original implementation of **Inception-v3** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **MediaPipe-Selfie-Segmentation** can be found [here](https://github.com/google/mediapipe/blob/master/LICENSE).
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- The license for the original implementation of **MNASNet05** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **MobileNet-v2** can be found [here](https://github.com/tonylins/pytorch-mobilenet-v2/blob/master/LICENSE).
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- The license for the original implementation of **MobileNet-v3-Large** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **MobileNet-v3-Small** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **QuickSRNetMedium** can be found [here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf).
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- The license for the original implementation of **QuickSRNetSmall** can be found [here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf).
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- The license for the original implementation of **Real-ESRGAN-General-x4v3** can be found [here](https://github.com/xinntao/Real-ESRGAN/blob/master/LICENSE).
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@@ -32,7 +41,9 @@ This repository contains compiled models optimized for DirectML (DML) from the Q
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- The license for the original implementation of **ResNeXt50** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **ResNeXt101** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **SESR-M5** can be found [here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf).
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- The license for the original implementation of **SqueezeNet-1_1** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **Swin-Small** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **Swin-Tiny** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **Unet-Segmentation** can be found [here](https://github.com/milesial/Pytorch-UNet/blob/master/LICENSE).
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This repository contains compiled models optimized for DirectML (DML) from the Qualcomm AI Hub models, designed specifically for the NPU.
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## License
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- The license for the original implementation of **AOT-GAN** can be found [here](https://github.com/taki0112/AttnGAN-Tensorflow/blob/master/LICENSE).
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- The license for the original implementation of **ConvNext-Tiny** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **DeepLabV3-Plus-MobileNet** can be found [here](https://github.com/jfzhang95/pytorch-deeplab-xception/blob/master/LICENSE).
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- The license for the original implementation of **DeepLabV3-ResNet50** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **DETR-ResNet101** can be found [here](https://github.com/facebookresearch/detr/blob/main/LICENSE).
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- The license for the original implementation of **DETR-ResNet101-DC5** can be found [here](https://github.com/facebookresearch/detr/blob/main/LICENSE).
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- The license for the original implementation of **DETR-ResNet50** can be found [here](https://github.com/facebookresearch/detr/blob/main/LICENSE).
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- The license for the original implementation of **DETR-ResNet50-DC5** can be found [here](https://github.com/facebookresearch/detr/blob/main/LICENSE).
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- The license for the original implementation of **EfficientNet-B0** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **ESRGAN** can be found [here](https://github.com/xinntao/ESRGAN/blob/master/LICENSE).
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- The license for the original implementation of **FastSam-S** can be found [here](https://github.com/CASIA-IVA-Lab/FastSAM/blob/main/LICENSE).
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- The license for the original implementation of **FastSam-X** can be found [here](https://github.com/CASIA-IVA-Lab/FastSAM/blob/main/LICENSE).
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- The license for the original implementation of **FCN-ResNet50** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **FFNet-40S** can be found [here](https://github.com/Qualcomm-AI-research/FFNet/blob/master/LICENSE).
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- The license for the original implementation of **FFNet-54S** can be found [here](https://github.com/Qualcomm-AI-research/FFNet/blob/master/LICENSE).
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- The license for the original implementation of **FFNet-78S** can be found [here](https://github.com/Qualcomm-AI-research/FFNet/blob/master/LICENSE).
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- The license for the original implementation of **FFNet-122NS-LowRes** can be found [here](https://github.com/Qualcomm-AI-research/FFNet/blob/master/LICENSE).
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- The license for the original implementation of **GoogLeNet** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **HRNetPose** can be found [here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf).
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- The license for the original implementation of **HuggingFace-WavLM-Base-Plus** can be found [here](https://github.com/microsoft/unilm/blob/master/LICENSE).
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- The license for the original implementation of **Inception-v3** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **MediaPipe-Selfie-Segmentation** can be found [here](https://github.com/google/mediapipe/blob/master/LICENSE).
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- The license for the original implementation of **MNASNet05** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **MobileNet-v2** can be found [here](https://github.com/tonylins/pytorch-mobilenet-v2/blob/master/LICENSE).
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- The license for the original implementation of **MobileNet-v3-Large** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **MobileNet-v3-Small** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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+
- The license for the original implementation of **QuickSRNetLarge** can be found [here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf).
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- The license for the original implementation of **QuickSRNetMedium** can be found [here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf).
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- The license for the original implementation of **QuickSRNetSmall** can be found [here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf).
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- The license for the original implementation of **Real-ESRGAN-General-x4v3** can be found [here](https://github.com/xinntao/Real-ESRGAN/blob/master/LICENSE).
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- The license for the original implementation of **ResNeXt50** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **ResNeXt101** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **SESR-M5** can be found [here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf).
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+
- The license for the original implementation of **Shufflenet-v2** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **SqueezeNet-1_1** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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+
- The license for the original implementation of **Swin-Base** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **Swin-Small** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **Swin-Tiny** can be found [here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the original implementation of **Unet-Segmentation** can be found [here](https://github.com/milesial/Pytorch-UNet/blob/master/LICENSE).
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aotgan/aotgan.onnx
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convnext_tiny_fp16/convnext_tiny_fp16.onnx
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deeplabv3_plus_mobilenet/deeplabv3_plus_mobilenet.onnx
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deeplabv3_plus_mobilenet_fp16/deeplabv3_plus_mobilenet_fp16.onnx
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deeplabv3_resnet50/deeplabv3_resnet50.onnx
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detr_resnet101/detr_resnet101.onnx
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detr_resnet101_dc5/detr_resnet101_dc5.onnx
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detr_resnet101_dc5_fp16/detr_resnet101_dc5_fp16.onnx
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detr_resnet101_fp16/detr_resnet101_fp16.onnx
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detr_resnet50/detr_resnet50.onnx
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detr_resnet50_dc5/detr_resnet50_dc5.onnx
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detr_resnet50_dc5_fp16/detr_resnet50_dc5_fp16.onnx
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detr_resnet50_fp16/detr_resnet50_fp16.onnx
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efficientnet_b0_fp16/efficientnet_b0_fp16.onnx
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fcn_resnet50/fcn_resnet50.onnx
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fcn_resnet50_fp16/fcn_resnet50_fp16.onnx
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ffnet_122ns_lowres_fp16/ffnet_122ns_lowres_fp16.onnx
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