https://github.com/yysijie/st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
https://github.com/yysijie/st-gcn

Last synced: about 2 months ago
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Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

• Host: GitHub
• URL: https://github.com/yysijie/st-gcn
• Owner: yysijie
• License: bsd-2-clause
• Fork: true (open-mmlab/mmskeleton)
• Created: 2019-08-30T07:15:51.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2023-03-08T08:11:41.000Z (over 1 year ago)
• Last Synced: 2024-09-25T22:11:41.362Z (about 2 months ago)
• Language: Python
• Homepage:
• Size: 55.8 MB
• Stars: 1,484
• Watchers: 26
• Forks: 334
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-gcn - yysijie/st-gcn - GCN) for Skeleton-Based Action Recognition in PyTorch (Skeleton-Based Action Recognition:)

README

        
## Reminder

ST-GCN has transferred to [MMSkeleton](https://github.com/open-mmlab/mmskeleton),

and keep on developing as an flexible open source toolbox for skeleton-based human understanding.

You are welcome to migrate to new MMSkeleton.

Custom networks, data loaders and checkpoints of old st-gcn are compatible with MMSkeleton.

If you want to use old ST-GCN, please refer to [OLD_README.md](./OLD_README.md).

This code base will soon be not maintained and exists as a historical artifact to supplement our AAAI papers on:

> **Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition**, Sijie Yan, Yuanjun Xiong and Dahua Lin, AAAI 2018. [[Arxiv Preprint]](https://arxiv.org/abs/1801.07455)

For more recent works please checkout MMSkeleton.