kennymckormick/pyskl

Health v2 · maintenance only

Adoption not part of the score

1261 stars · 230 forks observed · 2026-08-28

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

PYSKL is a PyTorch-based toolbox for skeleton-based human action recognition, built on MMAction2. It provides official implementations of PoseConv3D and ST-GCN++ along with training, testing, and skeleton extraction pipelines.

Use cases

• recognize human actions from skeleton pose data
• train ST-GCN or PoseC3D models on NTU-RGB+D or Kinetics
• build a real-time gesture recognition demo
• extract skeletons from videos for action recognition
• benchmark skeleton-based action recognition algorithms
• train a two-stream model on RGB and pose data

When to choose

• you need state-of-the-art skeleton-based action recognition models in PyTorch
• you want official PoseConv3D or ST-GCN++ implementations
• you work with pose/skeleton datasets like NTU-RGB+D

When to avoid

• you need actively maintained software with timely bug fixes
• your task is RGB-video-only action recognition without skeletons
• you need a production-ready inference service out of the box

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision deep-learning computer-vision machine-learning python action-recognition skeleton-based posec3d stgcn gesture-recognition pytorch mmaction2 linux gpu

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markdown · JSON · MCP: product_card(name="kennymckormick/pyskl")