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. 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. MMSkeleton addresses to multiple tasks in human understanding. Build a custom skeleton-based dataset. Create your own applications. MMSkeleton is an OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

Features

  • High extensibility
  • Provides a flexible framework for organizing codes
  • Multiple tasks
  • For organizing codes and projects systematically
  • Skeleton-based action generation
  • Pose tracking
  • 3D pose estimation

Project Samples

Project Activity

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Categories

Machine Learning

License

Apache License V2.0

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MMSkeleton Web Site

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Additional Project Details

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2022-08-08