I am trying to do a image classification problem. I want to keep the original image size and just feed the patches of an images and then classify their category.
I am quite unclear on few points-
1)How to extract the patches, I have already resized the image from different aspect ratio to  2k,2k image?
2)what will be the optimised way to train it, to extract it at the run time or just feed the patches made beforehand?
3)How the inference will pan out in such case, I want to build a interface which accepts the complete image and not just a patch?