This project forked from douzi0248/re-id
Market 1501
Resnet50 : batchsize=32 : Rank1 =95.81 , mAP=88.28
If you want a higher accuracy, you may modify batchsize or use Resnet101.
DukeMTMC-REID
Resnet50: batchsize =32 : Rank1 =88.7 , mAP=77.9
pytorch = 0.4
The codes are expanded on a ReID-baseline, which was put forward by layumi（Zhedong Zheng,）.
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