Hey! In all my previous work I’ve always used:
torchvision.datasets.ImageFolder(root='', transform=trsfm)

I am now in a situation where my data is not split into subfolder:
root/dog/xxx.png
root/cat/asd932_.png
but rather:
root/asd932_.png
root/asd933_.png
What I’m trying to do is predict new images (with no labels) from a trained model.
How do people load there images when working on an unsupervised model?