gitzyong812/STIP

Code for CVPR22 paper: Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection.

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This tool helps analyze images or video frames to understand how people are interacting with objects. It takes an image as input and identifies human-object pairs along with the specific action connecting them, such as 'person riding bicycle' or 'person holding cup'. This is useful for anyone working with automated image analysis for activity recognition or scene understanding.

No commits in the last 6 months.

Use this if you need to precisely detect and categorize interactions between people and objects within images or video streams, moving beyond just identifying objects or people individually.

Not ideal if you are looking for a general object detection system that doesn't focus on human interactions, or if you need to analyze interactions from non-visual data.

computer-vision activity-recognition scene-understanding video-analytics image-analysis
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

49

Forks

8

Language

Python

License

Last pushed

Jun 05, 2025

Commits (30d)

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