RandomSaturation
classkeras_cv.layers.RandomSaturation(factor, seed=None, **kwargs)
Randomly adjusts the saturation on given images.
This layer will randomly increase/reduce the saturation for the input RGB images.
Arguments
keras_cv.FactorSampler
. factor
controls the extent to which the
image saturation is impacted. factor=0.5
makes this layer perform
a no-op operation. factor=0.0
makes the image to be fully
grayscale. factor=1.0
makes the image to be fully saturated.
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)
.Example
(images, labels), _ = keras.datasets.cifar10.load_data()
random_saturation = keras_cv.layers.preprocessing.RandomSaturation()
augmented_images = random_saturation(images)