open-mmlab/mmskeleton
A PyTorch-based toolbox for skeleton-based human pose estimation and action recognition using graph convolutional networks.
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MMSkeleton is an open-source toolbox for skeleton-based human understanding tasks including 2D pose estimation, skeleton-based action recognition using Spatial Temporal Graph Convolutional Networks (ST-GCN), and action synthesis. Built on PyTorch, it provides a flexible framework for organizing code and projects with support for custom datasets and applications.
Frequently asked
- What is open-mmlab/mmskeleton?
- A PyTorch-based toolbox for skeleton-based human pose estimation and action recognition using graph convolutional networks.
- Is mmskeleton open source?
- Yes — open-mmlab/mmskeleton is open source, released under the Apache-2.0 license.
- What language is mmskeleton written in?
- open-mmlab/mmskeleton is primarily written in Python.
- How popular is mmskeleton?
- open-mmlab/mmskeleton has 3.1k stars on GitHub.
- Where can I find mmskeleton?
- open-mmlab/mmskeleton is on GitHub at https://github.com/open-mmlab/mmskeleton.