Comments (1)
Hey! The code expects there to be examples of both classes present in the hdf5 file.
Seeing from your screenshot it seems that all images are classified as one class. This means that the 100 images you've analyzed all belong to class 0 and there are none of them in the other class (class 1).
This could be due to a multitude of reasons, I will proceed to list a few but this is probably not an exhaustive list of what goes wrong. Perhaps you only provided images of one class to the dataloader (or your dataset is heavily imbalanced), perhaps your GAN only creates images that look like that specific class, or perhaps your classifier performs poorly.
It could be that you can make the loop over both classes optional and just proceed with images of only/at least one class. However, we have not tested this andit is not what the original authors had in their notebook so I cannot guarantee this.
from explaining-in-style-reproducibility-study.
Related Issues (10)
- Issue with reconstruction during training? HOT 27
- stylex_train_new
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- Trouble running with `multi_gpus=True` HOT 1
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from explaining-in-style-reproducibility-study.