RandomAdjustSharpness

class torchvision.transforms.v2.RandomAdjustSharpness(sharpness_factor: float, p: float = 0.5)

[BETA] Adjust the sharpness of the image or video with a given probability.

Warning

The RandomAdjustSharpness 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.

Parameters:

• sharpness_factor (float) – How much to adjust the sharpness. Can be any non-negative number. 0 gives a blurred image, 1 gives the original image while 2 increases the sharpness by a factor of 2.

• p (float) – probability of the image being sharpened. Default value is 0.5