mindspore.dataset.vision.RandomEqualize

class mindspore.dataset.vision.RandomEqualize(prob=0.5)[源代码]

Apply histogram equalization on the input image with a given probability.

Parameters

prob (float, optional) – Probability of the image being equalized, which must be in range of [0, 1] (default=0.5).

Raises

  • TypeError – If prob is not of type float.

  • 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.RandomEqualize(0.5)]
>>> image_folder_dataset = image_folder_dataset.map(operations=transforms_list,
...                                                 input_columns=["image"])