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Keras 3 API documentation /
Layers API /
Preprocessing layers /
Image augmentation layers /
RandomColorDegeneration layer
RandomColorDegeneration layer
RandomColorDegeneration class
keras.layers.RandomColorDegeneration(
factor, value_range=(0, 255), data_format=None, seed=None, **kwargs
)
Randomly performs the color degeneration operation on given images.
The sharpness operation first converts an image to gray scale, then back to color. It then takes a weighted average between original image and the degenerated image. This makes colors appear more dull.
Arguments
- factor: A tuple of two floats or a single float.
factorcontrols the extent to which the image sharpness is impacted.factor=0.0makes this layer perform a no-op operation, while a value of 1.0 uses the degenerated result entirely. Values between 0 and 1 result in linear interpolation between the original image and the sharpened image. Values should be between0.0and1.0. If a tuple is used, afactoris sampled between the two values for every image augmented. If a single float is used, a value between0.0and the passed float is sampled. In order to ensure the value is always the same, please pass a tuple with two identical floats:(0.5, 0.5). - seed: Integer. Used to create a random seed.