I am confused about how augmentation increases the number of images. Can I calculate it? Let say I have 10 images in batch
def augmentation():
aug=transforms.Compose([
transforms.Resize(size=(248,248)),
transforms.RandomHorizontalFlip(1),
transforms.RandomVerticalFlip(1),
transforms.RandomRotation(degrees=10),
transforms.ToTensor(),
transforms.Normalize((0.2, ), (0.2, )),
])
return aug
After the augmentation in pytorch, how many images my model will be trained on in a single batch. I know at the end the data size remain same, but I want to know does it increase at any point in the pipeline