SaturationTransform¶

class paddle.vision.transforms. SaturationTransform ( value, keys=None ) [source]

Adjust saturation of the image.

Parameters

• value (float) – How much to adjust the saturation. Can be any non negative number. 0 gives the original image.

• keys (list[str]|tuple[str], optional) – Same as BaseTransform. Default: None.

Shape:

• img(PIL.Image|np.ndarray|Paddle.Tensor): The input image with shape (H x W x C).

• output(PIL.Image|np.ndarray|Paddle.Tensor): An image with a transform in saturation.

Returns

A callable object of SaturationTransform.

Examples

import numpy as np
from PIL import Image
from paddle.vision.transforms import SaturationTransform

transform = SaturationTransform(0.4)

fake_img = Image.fromarray((np.random.rand(224, 224, 3) * 255.).astype(np.uint8))

fake_img = transform(fake_img)