Cysu/open-reid

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1368 stars · 349 forks observed · 2026-08-28

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

Open-ReID is a lightweight Python library for person re-identification built on PyTorch, providing a uniform dataset interface, models, and evaluation metrics. It includes examples to reproduce near state-of-the-art results for research purposes.

Use cases

• train person re-identification models in pytorch
• evaluate reid models on datasets like VIPeR and Market-1501
• compare metric learning losses for re-identification
• reproduce state-of-the-art person reid benchmarks
• get a uniform interface for reid datasets
• research deep metric learning for image retrieval

When to choose

• you need a lightweight, research-oriented reid library in PyTorch
• you want reproducible benchmarks for person re-identification
• you need uniform dataset handling across multiple reid datasets

When to avoid

• you need production-ready person re-identification with recent architectures
• you require active maintenance or support for modern PyTorch versions
• you need general object detection or tracking rather than re-identification

Facets

library · maturity maintenance

machine-learning deep-learning image-processing benchmarking computer-vision deep-learning machine-learning python windows person-reidentification metric-learning pytorch computer-vision research linux macos

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markdown · JSON · MCP: product_card(name="Cysu/open-reid")