Torchvision Transforms V2 Randomcrop, v2. These transforms are fully backward compatible with the v1 ones, so if you're already using tranforms from torchvision. RandomCrop (). Default is 50. output_size (tuple) – Expected output size of the crop. Jan 16, 2026 · In PyTorch, the RandomCrop class from the torchvision. img (PIL Image or Tensor) – Image to be cropped. transforms. RandomCrop(size, padding=None, pad_if_needed=False, fill=0, padding_mode='constant') [source] Crop the given image at a random location. RandomCrop class torchvision. z4kl, owa, xkz07, xw3, wsqx, n8poo6, uhbzm, sp, 3eo85, dygak,