ReID-MGN
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Simple pytorch unofficial implement of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Will user warnings affect the final results? 
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Hi when data set is changes Im getting below error. would you please help me to fix ths. (base) mca@Rnd-Comp-05:~/Downloads/content/ReID-MGN-master$ python main.py --mode train --data_path /home/mca/Downloads/LTCC_ReID epoch 1 /home/mca/anaconda3/lib/python3.7/site-packages/torch/optim/lr_scheduler.py:136: UserWarning:...
Hi, Im trying your method on different datraset, but getting bellow error. please help me to fix /content/ReID-MGN-master/ReID-MGN-master/utils/TripletLoss.py:56: UserWarning: This overload of addmm_ is deprecated: addmm_(Number beta, Number alpha, Tensor...
in main.py line.113 to line.137 I modified some programs but still can't get out. I modified this code : for i in range(10): img_path = gallery_path[index[i]] print(img_path) ax = plt.subplot(1,...
triplwtloss is giving dimension error. Please help me to fix this error. File "main.py", line 50, in train loss = self.loss(outputs, labels) File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 889, in _call_impl result =...
I believe you have incorrect link to Market1501 dataset
The paper claimed only need 80 epochs to train. Another reproduction from seathiefwang has the same problem.