Person_reID_baseline_pytorch
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how many epochs to reach top performence on market1501?
I use this command to run train.py, other parameters remain unchanged python train.py --gpu_ids 0 --name ft_ResNet50 --batchsize 32 --data_dir F:\data\market1501\pytorch --erasing_p 0.5 --PCB after 20 epochs, the loss is still very high, from orignial 38 to 37-38, and precision is around 3% in training. Are they the right hyperparameters? like lr 0.05
after 60 epoch, I got result Rank@1:0.290974 Rank@5:0.463777 Rank@10:0.544834 mAP:0.113355
Hi @bbbxixixixi It is weird. Could you check your Numpy Version first? Is the result correct on the baseline model without PCB?