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[Doc] Update RTMW citation information #3083

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11 changes: 11 additions & 0 deletions projects/rtmpose/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -1279,3 +1279,14 @@ If you find RTMPose useful in your research, please consider cite:
year={2020}
}
```

if you used the whole-body model RTMW, please also cite:

```bibtex
@article{jiang2024rtmw,
title={RTMW: Real-Time Multi-Person 2D and 3D Whole-body Pose Estimation},
author={Jiang, Tao and Xie, Xinchen and Li, Yining},
journal={arXiv preprint arXiv:2407.08634},
year={2024}
}
```
25 changes: 24 additions & 1 deletion projects/rtmpose3d/README.md
Original file line number Diff line number Diff line change
@@ -1,5 +1,8 @@
# RTMPose3D: Real-Time 3D Pose Estimation toolkit based on RTMPose

> ***Technical Report***:
> [RTMW: Real-Time Multi-Person 2D and 3D Whole-body Pose Estimation](https://arxiv.org/abs/2407.08634)

## Abstract

RTMPose3D is a toolkit for real-time 3D pose estimation. It is based on the RTMPose model, which is a 2D pose estimation model that is capable of predicting 2D keypoints and body part associations in real-time. RTMPose3D extends RTMPose by adding a 3D pose estimation branch that can predict 3D keypoints from images directly.
Expand All @@ -13,7 +16,7 @@ Please refer to our [technical report](https://arxiv.org/pdf/2407.08634) for mor
| [RTMW3D-L](./configs/rtmw3d-l_8xb64_cocktail14-384x288.py) | 0.678 | 0.056 | [ckpt](https://download.openmmlab.com/mmpose/v1/wholebody_3d_keypoint/rtmw3d/rtmw3d-l_8xb64_cocktail14-384x288-794dbc78_20240626.pth) |
| [RTMW3D-X](./configs/rtmw3d-x_8xb32_cocktail14-384x288.py) | 0.680 | 0.057 | [ckpt](https://download.openmmlab.com/mmpose/v1/wholebody_3d_keypoint/rtmw3d/rtmw3d-x_8xb64_cocktail14-384x288-b0a0eab7_20240626.pth) |

## Usage
## 📚 Usage

👉🏼 TRY RTMPose3D NOW

Expand All @@ -22,3 +25,23 @@ cd /path/to/mmpose/projects/rtmpose3d
export PYTHONPATH=$(pwd):$PYTHONPATH
python body3d_img2pose_demo.py configs/rtmdet_m_640-8xb32_coco-person.py https://download.openmmlab.com/mmpose/v1/projects/rtmpose/rtmdet_m_8xb32-100e_coco-obj365-person-235e8209.pth configs\rtmw3d-l_8xb64_cocktail14-384x288.py rtmw3d-l_cock14-0d4ad840_20240422.pth --input /path/to/image --output-root /path/to/output
```

## 📜 Citation [🔝](#-table-of-contents)

If you find RTMPose3D toolkit or RTMW3D models useful in your research, please consider cite:

```bibtex
@article{jiang2024rtmw,
title={RTMW: Real-Time Multi-Person 2D and 3D Whole-body Pose Estimation},
author={Jiang, Tao and Xie, Xinchen and Li, Yining},
journal={arXiv preprint arXiv:2407.08634},
year={2024}
}

@misc{mmpose2020,
title={OpenMMLab Pose Estimation Toolbox and Benchmark},
author={MMPose Contributors},
howpublished = {\url{https://github.com/open-mmlab/mmpose}},
year={2020}
}
```
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