RandomHorizontalFlip¶
- class torchvision.transforms.v2.RandomHorizontalFlip(p: float = 0.5)[source]¶
[BETA] Horizontally flip the input with a given probability.
Note
The RandomHorizontalFlip transform is in Beta stage, and while we do not expect disruptive breaking changes, some APIs may slightly change according to user feedback. Please submit any feedback you may have in this issue: https://github.com/pytorch/vision/issues/6753.
If the input is a
torch.Tensor
or aTVTensor
(e.g.Image
,Video
,BoundingBoxes
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
:Getting started with transforms v2
Getting started with transforms v2Illustration of transformsTransforms v2: End-to-end object detection/segmentation example
Transforms v2: End-to-end object detection/segmentation exampleHow to use CutMix and MixUpHow to write your own v2 transforms
How to write your own v2 transformsHow to write your own TVTensor class
How to write your own TVTensor class