RandomHorizontalFlip

class torchvision.transforms.v2.RandomHorizontalFlip(p: float = 0.5)

[BETA] Horizontally flip the input with a given probability.

Warning

The RandomHorizontalFlip transform is in Beta stage, and while we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: https://github.com/pytorch/vision/issues/6753, and you can also check out https://github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes.

If the input is a torch.Tensor or a Datapoint (e.g. Image, Video, BoundingBox etc.) it can have arbitrary number of leading batch dimensions. For example, the image can have [..., C, H, W] shape. A bounding box can have [..., 4] shape.

Parameters:

p (float, optional) – probability of the input being flipped. Default value is 0.5

Examples using RandomHorizontalFlip:

Transforms v2: End-to-end object detection example

Transforms v2: End-to-end object detection example