mindspore.dataset.vision.py_transforms.AutoContrast

class mindspore.dataset.vision.py_transforms.AutoContrast(cutoff=0.0, ignore=None)[source]

Automatically maximize the contrast of the input PIL Image.

Parameters

  • cutoff (float, optional) – Percent of pixels to be cut off from the histogram, which must be in range of [0.0, 50.0) (default=0.0).

  • ignore (Union[int, sequence], optional) – Pixel values to be ignored (default=None).

Raises

  • TypeError – If cutoff is not of type float.

  • TypeError – If ignore is not of type int or sequence.

  • ValueError – If cutoff is not in range [0, 50.0).

  • ValueError – If ignore is not in range [0, 255].

  • RuntimeError – If given tensor shape is not <H, W> or <H, W, C>.

Supported Platforms:

CPU

Examples

>>> from mindspore.dataset.transforms.py_transforms import Compose
>>> transforms_list = Compose([py_vision.Decode(),
...                            py_vision.AutoContrast(),
...                            py_vision.ToTensor()])
>>> # apply the transform to dataset through map function
>>> image_folder_dataset = image_folder_dataset.map(operations=transforms_list,
...                                                 input_columns="image")