Hey,
I’m sorry if I’m asking a dumb noob question, but I feel like I don’t understand what’s going on.
Isn’t the whole point of a custom collate function to have images of different sizes in a batch?
I’m thinking of the following scenario:
I have a network that I want to use on images of different sizes, and I want to train it on images of different sizes. (An object detector, maybe) It looks to me like right now I either have to have a batch size of 1 or resize every image? Even if the network has adaptive pooling?
Or is there something I’m missing?
Thanks muchly!