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Maybe the level value depends on your training settings cause train.py also uses the same dataset loader.
This seems to work well, but you know, all a guess.
I tried testing it and have a question
run test.py
/usr/local/lib/python2.7/dist-packages/requests/init.py:83: RequestsDependencyWarning: Old version of cryptography ([1, 2, 3]) may cause slowdown.
warnings.warn(warning, RequestsDependencyWarning)
Traceback (most recent call last):
File "test.py", line 36, in
from core.utils import set_device, postprocess, ZipReader, set_seed
ImportError: No module named core.utils
Hello, thanks for sharing the project.
I tried testing it and have several questions:
../flist/celebahq/test.flist
Thanks!
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