图卷积网络进行骨骼识别代码_PyTorch实现的时空图卷积网络(ST-GCN)骨架动作识别...

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

[2020-01-21] MMSkeleton v0.7 is released.

[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

High extensibility

MMSkeleton provides a flexible framework for organizing codes and projects systematically, with the ability to extend to various tasks and scale up to complex deep models.

Multiple tasks

MMSkeleton addresses to multiple tasks in human understanding, including but not limited to:

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 : [email protected]

Jingbo Wang : [email protected]

Yuanjun Xiong : [email protected]