► Keras 3 API documentation / KerasCV / Layers / Augmentation layers / RandomColorDegeneration layer

RandomColorDegeneration layer

[source]

RandomColorDegeneration class

keras_cv.layers.RandomColorDegeneration(factor, 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, a single float or a keras_cv.FactorSampler. factor controls the extent to which the image sharpness is impacted. factor=0.0 makes 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 between 0.0 and 1.0. If a tuple is used, a factor is sampled between the two values for every image augmented. If a single float is used, a value between 0.0 and 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.
RandomColorDegeneration layer
RandomColorDegeneration class