open-mmlab/mmskeleton

Health v2 · maintenance only

Adoption not part of the score

3127 stars · 1063 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MMSkeleton is an OpenMMLAB toolbox for skeleton-based human understanding, built on PyTorch. It supports 2D pose estimation, skeleton-based action recognition with ST-GCN, and custom skeleton dataset creation.

Use cases

• recognize human actions from skeleton sequences
• estimate 2D human poses in videos
• train ST-GCN models for skeleton-based action recognition
• build custom skeleton-based datasets
• create pose estimation demo applications

When to choose

• you need skeleton-based action recognition with graph convolutional networks
• you want an extensible PyTorch framework for human pose and action research
• you need pretrained ST-GCN models from a model zoo

When to avoid

• you need actively maintained code with recent updates
• you need 3D pose estimation or pose tracking, which are unimplemented
• you want a production-ready application rather than a research toolbox

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision computer-vision deep-learning machine-learning python pose-estimation action-recognition skeleton-based graph-convolutional-network pytorch st-gcn human-understanding linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="open-mmlab/mmskeleton")