Transforming Images With FiveCrop In PyTorch
FiveCrop() crops an image into 5 parts. Size can be int or tuple/list(int) with 1 <= x. Use OxfordIIITPet() for dataset and torchvision.transforms.v2.FiveCrop() for transformation.
Buy Me a Coffee☕ *Memos: My post explains OxfordIIITPet(). FiveCrop() can crop an image into 5 parts(Top-left, Top-right, Bottom-left, Bottom-right and Center) as shown below: *Memos: The 1st argument for initialization is size(Required-Type:int or tuple/list(int) or size()): *Memos: It's [height, width]. It must be 1 <= x. A tuple/list must be the 1D with 1 or 2 elements. A single value(int or tuple/list(int)) means [size, size]. 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...