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README.md
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# easy_ViTPose
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<p align="center">
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<img src="https://user-images.githubusercontent.com/24314647/236082274-b25a70c8-9267-4375-97b0-eddf60a7dfc6.png" width=375> easy_ViTPose
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</p>
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## Accurate 2d human pose estimation, finetuned on 25 keypoints COCO skeleton + feet
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### Easy to use SOTA `ViTPose` [Y. Xu et al., 2022] models for fast inference.
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These are just the models, refer to https://github.com/JunkyByte/easy_ViTPose for the actual code.
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| Models | Path |
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| :----: | :----: |
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| TORCH | [Folder](https://huggingface.co/JunkyByte/easy_ViTPose/tree/main/torch) |
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| ONNX | [Folder](https://huggingface.co/JunkyByte/easy_ViTPose/tree/main/onnx) |
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| TENSORRT | [Folder](https://huggingface.co/JunkyByte/easy_ViTPose/tree/main/tensorrt) |
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You can also download the YOLOv5 models:
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| Models | Path |
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| :----: | :----: |
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| YOLOv5 | [Folder](https://huggingface.co/JunkyByte/easy_ViTPose/tree/main/yolov5) |
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### License
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Refer to official https://github.com/ViTAE-Transformer/ViTPose/blob/main/LICENSE for model license
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