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A simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.

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(base) D:\codes\Person-Attribute-Recognition-MarketDuke-master>python train.py --data-path dataset --dataset duke --model resnet50 Traceback (most recent call last): File "", line 1, in File "D:\Anaconda\lib\multiprocessing\spawn.py", line 105, in spawn_main exitcode = _main(fd) File "D:\Anaconda\lib\multiprocessing\spawn.py",...

I want to test for accuracy of another Dataset. But my dataset use .json annotation file type instead off .mat file type. How can I solve my issue? :(

if i use the inference.py, how can i save the attribute recognition to excel?