PaddlePaddle/PaddleVideo

Health v2 · maintenance only

Adoption not part of the score

1702 stars · 387 forks observed · 2026-08-28

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

PaddleVideo is a video understanding toolkit built on PaddlePaddle, offering state-of-the-art models for action recognition, temporal action detection, and video tagging. It covers the full pipeline from data annotation and training to model compression and deployment, including lightweight models like PP-TSM and skeleton-based models like ST-GCN.

Use cases

• recognize human actions in videos
• train an action recognition model on Kinetics-400
• detect temporal action boundaries in sports footage
• classify videos with skeleton-based pose models
• deploy a lightweight video model on CPU
• annotate video datasets for training
• fine-tune video models for industrial or medical scenarios

When to choose

• you use the PaddlePaddle ecosystem and need video understanding models
• you need a full pipeline from annotation to deployment for video tasks
• you want lightweight CPU-friendly action recognition models
• you work with skeleton-based action recognition or sports analytics

When to avoid

• your stack is PyTorch or TensorFlow based
• you need general video editing or transcoding rather than understanding
• you need real-time streaming video analytics out of the box

Facets

library · maturity active

machine-learning deep-learning video-processing computer-vision llm-training deep-learning computer-vision machine-learning python video-understanding action-recognition action-detection paddlepaddle model-zoo tsm slowfast st-gcn video-tagging skeleton-based video linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="PaddlePaddle/PaddleVideo")