Hi,
Thank you for sharing your code on github. I have a question regarding the configs.
In the config for ImageNet and CelebA, there are two lines that seem to be more relevant for the lsun datasets.
lsun_categories_train: [bedroom_train]
lsun_categories_test: [bedroom_test]
Are they simply ignored in these cases, because they are not using the lsun dataset?
Also, for celebA and the lsun dataset examples, does nlabels=1 indicate that there is only one sample per category.
Lastly, for lsun_bridges, it looks like training and testing is done on the same data (_train). Is that intentional?
Hi,
Thank you for sharing your code on github. I have a question regarding the configs.
In the config for ImageNet and CelebA, there are two lines that seem to be more relevant for the lsun datasets.
lsun_categories_train: [bedroom_train]lsun_categories_test: [bedroom_test]Are they simply ignored in these cases, because they are not using the lsun dataset?
Also, for celebA and the lsun dataset examples, does
nlabels=1indicate that there is only one sample per category.Lastly, for lsun_bridges, it looks like training and testing is done on the same data (_train). Is that intentional?