DomainAdaptiveReID
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Problem with pre-trained models
I am not able to open the downloaded tar files. Anyone else faced similar issue?
@anilsh open it with torch.load()
, no need to use tar xf
. sorry for the confusing suffix
Use torch.load() BUT got UnicodeDecodeError: 'ascii' codec can't decode byte 0x91 in position 0: ordinal not in range(128). any idea??
@mittlin Which file are you dealing with?
Use torch.load() BUT got UnicodeDecodeError: 'utf-8' codec can't decode byte in position 0. any idea??
@YMing-Li Could you try loading with PyTorch 0.3 / Python 2?
@YMing-Li Could you try loading with PyTorch 0.3 / Python 2?
Thanks a lot. I am now encountering a new problem. After I run source_train.py directly, the mAP is only 53%, which is far worse than the trained network given. The small bugs in source_train.py have been fixed. Do some parameters need to be changed? My version : Python3.7.4 and Pytorch1.3.1
@YMing-Li Maybe some params need to be changed. Im not sure. As an alternative, you could try https://github.com/open-mmlab/OpenUnReID for your environment.