# 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 pose estimation, finetuned on 25 keypoints COCO skeleton + feet  
### 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 |
| :----: | :----: |
| YOLOv5 | [Folder](https://huggingface.co/JunkyByte/easy_ViTPose/tree/main/yolov5) |

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