RandomAdjustSharpness — Torchvision 0.22 documentation (original) (raw)

class torchvision.transforms.RandomAdjustSharpness(sharpness_factor, p=0.5)[source]¶

Adjust the sharpness of the image randomly with a given probability. If the image is 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:

forward(img)[source]¶

Parameters:

img (PIL Image or Tensor) – Image to be sharpened.

Returns:

Randomly sharpened image.

Return type:

PIL Image or Tensor