layumi/Person_reID_baseline_pytorch
A PyTorch baseline implementation for person and vehicle re-identification using deep metric learning.

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This repository provides a compact, friendly baseline for object re-identification tasks (person and vehicle ReID) using PyTorch. It implements deep metric learning approaches with techniques like circle loss, random erasing augmentation, and re-ranking. The code supports standard benchmarks including Market-1501, CUHK03-NP, and MSMT17 datasets.