Hello! I am having (conceptual) issues with writing my own custom transform. Imagine that I have a image classification case and I wish to apply e.g 10 random crops for the same image so I write a custom transform just for that. Let’s say that I wish to do this because images are extremely large and I wish to avoid loading them many times (less epochs and larger batches). The problem I am having is what should be the output of this transform, since now I have multiple crops? First thing that comes to my mind is a list of tuples as (image, class), but then how would I feed this into my network without changing the architecture (I still wish to feed one image and get class scores).
Thanks in advance!