| | --- |
| | pipeline_tag: keypoint-detection |
| | --- |
| | # easy_ViTPose |
| | <p align="center"> |
| | <img src="https://user-images.githubusercontent.com/24314647/236082274-b25a70c8-9267-4375-97b0-eddf60a7dfc6.png" width=375> easy_ViTPose |
| | </p> |
| |
|
| | ## Accurate 2d human and animal pose estimation |
| | ### Easy to use SOTA `ViTPose` [Y. Xu et al., 2022] models for fast inference. |
| |
|
| | These are just the models, refer to https://github.com/JunkyByte/easy_ViTPose for the actual code. |
| | |
| | | Models | Path | |
| | | :----: | :----: | |
| | | TORCH | [Folder](https://huggingface.co/JunkyByte/easy_ViTPose/tree/main/torch) | |
| | | ONNX | [Folder](https://huggingface.co/JunkyByte/easy_ViTPose/tree/main/onnx) | |
| | | TENSORRT | [Folder](https://huggingface.co/JunkyByte/easy_ViTPose/tree/main/tensorrt) | |
| | |
| | You can also download the YOLOv5 models: |
| | | Models | Path | |
| | | :----: | :----: | |
| | | YOLOv8 | [Folder](https://huggingface.co/JunkyByte/easy_ViTPose/tree/main/yolov8) | |
| | |
| | ### License |
| | Refer to official https://github.com/ViTAE-Transformer/ViTPose/blob/main/LICENSE for model license |
