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.

Note

The RandomAdjustSharpness 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.

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

Examples using RandomAdjustSharpness:

Illustration of transforms

Illustration of transforms