#104 · Primary category: Computer Vision

deep-person-reid

computer-vision cross-domain deep-learning deep-neural-networks image-retrieval machine-learning metric-learning person-reid person-reidentification pytorch re-ranking

Torchreid: Deep learning person re-identification in PyTorch.

Project last updated:01/09/26

GitHub Stars

4.9K

Forks

1.2K

Contributors

23

License

MIT

Why we included this project

Person re-identification is the task of matching the same person across different camera views, and Torchreid is one of the more complete open-source toolkits for it. The library pulls a broad set of re-id models and training recipes into a single PyTorch codebase, so you can train a model, evaluate it, and compare it against others without stitching together scattered research code. It covers both image- and video-based re-id, supports multi-GPU training, and takes care of dataset preparation, which makes getting a working baseline much faster. Cross-dataset evaluation and re-ranking utilities are included for testing how well a model generalizes beyond its training set. Teams that want a research-grade starting point rather than a black-box API will find the codebase readable and well documented.

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