Hello guys and grateful to see such a helpful community
I’m trying to load my custom data-set via Pytorch, where in fact the training data set is arranged in the main folder “train” and contain two subfolders namely  “Input” and “GT” subfolders. I want to make a regression NN model, where each image in the “Input” subfolder is corresponding to 10 images in the “GT” subfolder, thus the result of this model is 10 images, for example, the first image in …\train\input\image_1.bmp, has …\train\GT\image_1_1.bmp, image_1_2.bmp,…, image_1_10.bmp. The second image in …\train\input\image_2.bmp, has …\train\GT\image_2_1.bmp, image_2_2.bmp,…, image_2_10.bmp, and so on. Any ideas on the implementation?