Mmpose

Latest version: v1.3.1

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29.3

The hand keypoint detection accuracy has been notably improved.

![db073d10-aee9-41a5-b697-602aae461558](https://github.com/open-mmlab/mmpose/assets/26127467/174b8337-50e6-493a-9024-e625200cd560)

Pose Anything

We are glad to support the inference for the category-agnostic pose estimation method [PoseAnything](https://github.com/open-mmlab/mmpose/tree/main/projects/pose_anything)!

![Teaser Figure](https://github.com/open-mmlab/mmpose/assets/26127467/96480360-1a80-41f6-88d3-d6c747506a7e)

You can now specify ANY keypoints you want the model to detect, without needing extra training. Under the project folder:
1. Download the [pretrained model](https://drive.google.com/file/d/1RT1Q8AMEa1kj6k9ZqrtWIKyuR4Jn4Pqc/view?usp=drive_link)
2. Run:

python demo.py --support [path_to_support_image] --query [path_to_query_image] --config configs/demo_b.py --checkpoint [path_to_pretrained_ckpt]


- Thanks to the author of PoseAnything (orhir) for supporting their excellent work!

New Datasets

We have added support for two new datasets:

- (CVPR 2023) [ExLPose](https://mmpose.readthedocs.io/en/latest/dataset_zoo/2d_body_keypoint.html#exlpose-dataset)
- (ICCV 2023) [H3WB](/docs/en/dataset_zoo/3d_wholebody_keypoint.md)

(CVPR 2023) ExLPose

ExLPose builds a new dataset of real low-light images with accurate pose labels. It can be helpful on tranining a pose estimation model working under extreme light conditions.

![ExLPose](http://cg.postech.ac.kr/research/ExLPose/assets/img/system.png)

- Thanks Yang-Changhui for helping with the integration of ExLPose!
- This is the task of our OpenMMLabCamp, if you also wish to contribute code to us, feel free to refer to [this link](https://github.com/open-mmlab/OpenMMLabCamp/discussions/categories/mmpose) to pick up the task!

(ICCV 2023) H3WB

H3WB (Human3.6M 3D WholeBody) extends the Human3.6M dataset with 3D whole-body annotations using the COCO wholebody skeleton. This dataset enables more comprehensive 3D pose analysis and benchmarking for whole-body methods.

![H3WB](https://github.com/wholebody3d/wholebody3d/raw/main/imgs/1.jpg)

- Supported by xiexinch.

Contributors

Tau-J
Ben-Louis
xiexinch
Yang-Changhui
orhir
RFYoung
yao5401
icynic
Jendker
willyfh
jit-a3
Ginray

17.7

13.1

7.9

4.3

1.3.1

Fix the bug when downloading config and checkpoint using `mim` (see [Issue 2918](https://github.com/open-mmlab/mmpose/issues/2918)).

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