RandomEqualize¶
- class torchvision.transforms.v2.RandomEqualize(p: float = 0.5)[source]¶
[BETA] Equalize the histogram of the given image or video with a given probability.
Note
The RandomEqualize 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, it is expected to have […, 1 or 3, H, W] shape, where … means an arbitrary number of leading dimensions. If img is PIL Image, it is expected to be in mode “P”, “L” or “RGB”.- Parameters:
p (float) – probability of the image being equalized. Default value is 0.5
Examples using
RandomEqualize:
