RandomHorizontalFlip() In PyTorch
RandomHorizontalFlip() flips an image randomly and horizontally. It takes 2 args: img (PIL Image or tensor) & p (probability of flip). Example usage: RandomHorizontalFlip(p=0.5)
Buy Me a Coffee☕ *Memos: My post explains RandomVerticalFlip(). My post explains OxfordIIITPet(). RandomHorizontalFlip() can flip an image randomly and horizontally 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 Ox...