mindspore.dataset.vision.RandomAdjustSharpness

class mindspore.dataset.vision.RandomAdjustSharpness(degree, prob=0.5)[源代码]

Randomly adjust the sharpness of the input image with a given probability.

Parameters

degree (float) – Sharpness adjustment degree, which must be non negative. Degree of 0.0 gives a blurred image, degree of 1.0 gives the original image, and degree of 2.0 increases the sharpness by a factor of 2.
prob (float, optional) – Probability of the image being sharpness adjusted, which must be in range of [0, 1] (default=0.5).

Raises

TypeError – If degree is not of type float.
TypeError – If prob is not of type float.
ValueError – If degree is negative.
ValueError – If prob is not in range [0, 1].
RuntimeError – If given tensor shape is not <H, W> or <H, W, C>.

Supported Platforms:: CPU

Examples

>>> transforms_list = [vision.Decode(), vision.RandomAdjustSharpness(2.0, 0.5)]
>>> image_folder_dataset = image_folder_dataset.map(operations=transforms_list,
...                                                 input_columns=["image"])