RandomEqualize¶
- class torchvision.transforms.v2.RandomEqualize(p: float = 0.5)[source]¶
Equalize the histogram of the given image or video with a given probability.
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:
