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.
Warning
The RandomEqualize 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, 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
