equalize¶
-
torchvision.transforms.functional.equalize(img: torch.Tensor) → torch.Tensor[source]¶ Equalize the histogram of an image by applying a non-linear mapping to the input in order to create a uniform distribution of grayscale values in the output.
- Parameters
img (PIL Image or Tensor) – Image on which equalize is applied. If img is torch Tensor, it is expected to be in […, 1 or 3, H, W] format, where … means it can have an arbitrary number of leading dimensions. The tensor dtype must be
torch.uint8and values are expected to be in[0, 255]. If img is PIL Image, it is expected to be in mode “P”, “L” or “RGB”.- Returns
An image that was equalized.
- Return type
PIL Image or Tensor
Examples using
equalize:
