RandomVerticalFlip() In PyTorch
RandomVerticalFlip() flips an image randomly and vertically with a probability of 0 <= x <= 1. Use img as input and p for the flip probability. V2 is recommended over V1.
Buy Me a Coffee☕ *Memos: My post explains RandomHorizontalFlip(). My post explains OxfordIIITPet(). RandomVerticalFlip() can flip an image randomly and vertically as shown below: *Memos: The 1st argument for initialization is p(Optional-Default:0.5-Type:int or float): *Memos: It's the probability of whether an image is flipped or not. It must be 0 <= x <= 1. The 1st argument is img(Required-Type:PIL Image or tensor(int)): *Memos: A tensor must be 2D or 3D. Don't use img=. v2 is recommended to use according to V1 or V2? Which one should I use?. from torchvision.datasets import Oxfo...