Would it make sense to use something like the following or would it be better to change network such that it would work with my 600x800 images?
Mostly confused since my images are not xx dimension but xy dimension and I am forcing the dimension to be 100x100 to work with the network
my_transform = transforms.Compose([
    transforms.ToTensor(),
    transforms.Resize((100,100))
                      ])

train_loader_food = torch.utils.data.DataLoader(
    datasets.ImageFolder(train_root, transform = my_transform),
    batch_size = batch_size, shuffle=True, **kwargs)

val_loader_food = torch.utils.data.DataLoader(
    datasets.ImageFolder(val_root, transform = my_transform),
    batch_size = batch_size, shuffle=True, **kwargs)