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pipeline_tag: keypoint-detection |
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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 and animal pose estimation |
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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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| YOLOv8 | [Folder](https://huggingface.co/JunkyByte/easy_ViTPose/tree/main/yolov8) | |
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### License |
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Refer to official https://github.com/ViTAE-Transformer/ViTPose/blob/main/LICENSE for model license |
