RandomHue
classkeras_cv.layers.RandomHue(factor, value_range, seed=None, **kwargs)
Randomly adjusts the hue on given images.
This layer will randomly increase/reduce the hue for the input RGB images.
The image hue is adjusted by converting the image(s) to HSV and rotating the hue channel (H) by delta. The image is then converted back to RGB.
Arguments
keras_cv.FactorSampler
. factor
controls the extent to which the
image hue is impacted. factor=0.0
makes this layer perform a
no-op operation, while a value of 1.0 performs the most aggressive
contrast adjustment available. 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)
.[0, 1]
or [0, 255]
depending on how your
preprocessing pipeline is set up.Example
(images, labels), _ = keras.datasets.cifar10.load_data()
random_hue = keras_cv.layers.preprocessing.RandomHue()
augmented_images = random_hue(images)