mindspore.dataset.vision.py_transforms.RandomColor
- class mindspore.dataset.vision.py_transforms.RandomColor(degrees=(0.1, 1.9))[source]
Adjust the color balance of the input PIL Image by a random degree.
- Parameters
degrees (sequence) – Range of color adjustment degree to be randomly chosen from, which should be in shape of (min, max) (default=(0.1,1.9)).
- Raises
TypeError – If degrees is not of type sequence of float.
ValueError – If degrees is negative.
RuntimeError – If given tensor shape is not <H, W, C>.
- Supported Platforms:
CPU
Examples
>>> from mindspore.dataset.transforms.py_transforms import Compose >>> transforms_list = Compose([py_vision.Decode(), ... py_vision.RandomColor((0.5, 2.0)), ... py_vision.ToTensor()]) >>> # apply the transform to dataset through map function >>> image_folder_dataset = image_folder_dataset.map(operations=transforms_list, ... input_columns="image")