ShiqiYu/OpenGait

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1146 stars · 235 forks observed · 2026-08-28

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

OpenGait is a flexible and extensible Python framework for gait recognition research, providing implementations of state-of-the-art models and benchmark datasets. It lets researchers focus on designing their own models and easily compare against the state of the art.

Use cases

• train and benchmark gait recognition models
• compare my gait model against state-of-the-art baselines
• run person identification from walking patterns
• reproduce CVPR gait recognition paper results
• evaluate gait models on CASIA or GREW datasets
• research framework for pedestrian gait analysis

When to choose

• you are doing gait recognition research and want ready-made baselines
• you need a reproducible benchmarking setup for gait models
• you want access to recent SOTA models like DeepGaitV2, SkeletonGait++, or BiggerGait

When to avoid

• you need a production-ready biometric identification system rather than a research framework
• your task is general video action recognition, not gait
• you need a license-cleared solution for commercial deployment (no license is specified)

Facets

framework · maturity active

machine-learning deep-learning computer-vision benchmarking computer-vision machine-learning deep-learning python cross-platform gait-recognition person-identification biometrics pytorch research-framework model-zoo gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ShiqiYu/OpenGait")