Hi
I’m using three torchvision transforms
transform_list = [transforms.RandomHorizontalFlip(p=1),
     transforms.ToTensor(),
     transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))]

and I want to view that horizontal flip IS indeed done, so in the training loop I did this
    for i, (images, _) in tqdm(enumerate(trainloader)):
        imshow(torchvision.utils.make_grid(images))

but it would only show only original images
how can I view those augmented images?
one more question… (if I may…)
I want to receive a ‘flag’ variable when a certain transformation (or augmentation) is done to that data…
Any possible ideas? I will re-code <torch.utils.data> if I have to