How to generate the index for excluding examples for npy?

[realliyifei]

I understand the indexes for npys in class_exclusion are the category indexes. But what about the ones in example_exclusion?

Now I index the examples based on the ImageFolder's indexing on ImageNet, for example:

train_dataset = datasets.ImageFolder(args.data_dir) 
exs_list = [x[0].split('/')[-1].split('.')[0] for x in train_dataset.imgs]

But it seems slow. Could you guide me to the indexing to-be-excluded examples in your source code? (If there is any). Or let me know what is your way to do it?