/mmskeleton

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

Primary LanguageCudaApache License 2.0Apache-2.0

MMSkeleton

Introduction

MMSkeleton is an open source toolbox for skeleton-based human understanding. It is a part of the open-mmlab project in the charge of Multimedia Laboratory, CUHK. MMSkeleton is developed on our research project ST-GCN.

Updates

  • [2019-10-09] MMSkeleton v0.6 is released.
  • [2019-10-08] Support model zoo.
  • [2019-10-02] Support custom dataset.
  • [2019-09-23] Add video-based pose estimation demo.
  • [2019-08-29] MMSkeleton v0.5 is released.

Features

Getting Started

Please see GETTING_STARTED.md for more details of MMSkeleton.

License

The project is release under the Apache 2.0 license.

Contributing

We appreciate all contributions to improve MMSkeleton. Please refer to CONTRIBUTING.md for the contributing guideline.

Citation

Please cite the following paper if you use this repository in your reseach.

@misc{mmskeleton2019,
  author =       {Sijie Yan, Yuanjun Xiong, Jingbo Wang, Dahua Lin},
  title =        {MMSkeleton},
  howpublished = {\url{https://github.com/open-mmlab/mmskeleton}},
  year =         {2019}
}

Contact

For any question, feel free to contact

Sijie Yan     : ys016@ie.cuhk.edu.hk
Jingbo Wang   : wangjingbo1219@foxmail.com
Yuanjun Xiong : bitxiong@gmail.com