RandomInvert() In PyTorch: Inverting Images With Probability
RandomInvert() randomly inverts images. It takes 2 args: img (PIL Image or tensor) & p (probability of inversion). p must be 0 <= x <= 1. OxfordIIITPet dataset is used to test RandomInvert().
Buy Me a Coffee☕ *Memos: My post explains RandomSolarize(). My post explains OxfordIIITPet(). RandomInvert() can randomly invert an image 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 inverted 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 OxfordIIITPet from torchvisi...