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bnneck

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tajwarchy / person-reidentification

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Person Re-ID system: ResNet-50 IBN-a + BNNeck trained on Market-1501 (Rank-1 81.80%, mAP 60.38%). FAISS gallery search, cross-dataset eval on DukeMTMC-reID, YOLOv8 video demo with persistent global IDs. Pure PyTorch, Colab T4 + Apple M1 MPS.

computer-vision deep-learning surveillance pytorch metric-learning triplet-loss dukemtmc-reid reidentification person-re-identification resnet50 faiss market-1501 yolov8 ibn-a bnneck
  • Updated Apr 17, 2026
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