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 cut off from the histogram, the value must be in the range [0.0, 50.0) (default=0.0).
ignore (Union[int, sequence], optional) – Pixel values to ignore (default=None).

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")