Problem with pre-trained models about domainadaptivereid HOT 7 OPEN

@anilsh open it with torch.load(), no need to use tar xf. sorry for the confusing suffix

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Use torch.load() BUT got UnicodeDecodeError: 'ascii' codec can't decode byte 0x91 in position 0: ordinal not in range(128). any idea??

from domainadaptivereid.

@mittlin Which file are you dealing with?

from domainadaptivereid.

Use torch.load() BUT got UnicodeDecodeError: 'utf-8' codec can't decode byte in position 0. any idea??

from domainadaptivereid.

@YMing-Li Could you try loading with PyTorch 0.3 / Python 2?

from domainadaptivereid.

@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

from domainadaptivereid.

@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.

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