RandomHorizontalFlip
- class torchvision.transforms.RandomHorizontalFlip(p=0.5)[source]
Horizontally flip the given image randomly with a given probability. If the image is torch Tensor, it is expected to have […, H, W] shape, where … means an arbitrary number of leading dimensions
- Parameters:
p (float) – probability of the image being flipped. Default value is 0.5
Examples using
RandomHorizontalFlip
:Transforms v2: End-to-end object detection/segmentation example
Transforms v2: End-to-end object detection/segmentation example- forward(img)[source]
- Parameters:
img (PIL Image or Tensor) – Image to be flipped.
- Returns:
Randomly flipped image.
- Return type:
PIL Image or Tensor