Comments (1)
Hi @saharudra ,
The fid_score.py
file is modified from the fid.py
in https://github.com/bioinf-jku/TTUR
. The purpose is to avoid saving all the images to a folder. The fid result should be the same. There is one potential issue that you might need to be careful about. When using scipy.misc.imsave
to save images, it will automatically normalize the images to use the full range from 0 to 255. So in our fid_score.py
we also normalize all the images to this range. I am not sure if the imsvae
function in other packages will do the same normalization or if they normalize in the same way. We find that the normalization has very few impact on MNIST, Fashion-MNIST and CelebA datasets but may have a huge impact on Cifar10 dataset.
Hope this can help you. Please let me know if you have further questions.
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