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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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+
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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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+
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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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+
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+ ### License
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+ Refer to official https://github.com/ViTAE-Transformer/ViTPose/blob/main/LICENSE for model license