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► Keras 3 API documentation / Layers API / Preprocessing layers / Image augmentation layers / RandomInvert layer

RandomInvert layer

[source]

RandomInvert class

keras.layers.RandomInvert(
    factor=1.0, value_range=(0, 255), seed=None, data_format=None, **kwargs
)

Preprocessing layer for random inversion of image colors.

This layer randomly inverts the colors of input images with a specified probability range. When applied, each image has a chance of having its colors inverted, where the pixel values are transformed to their complementary values. Images that are not selected for inversion remain unchanged.

Note: This layer is safe to use inside a tf.data or grain pipeline (independently of which backend you're using).

Arguments

  • factor: A single float or a tuple of two floats. factor controls the probability of inverting the image colors. If a tuple is provided, the value is sampled between the two values for each image, where factor[0] is the minimum and factor[1] is the maximum probability. If a single float is provided, a value between 0.0 and the provided float is sampled. Defaults to (0, 1).
  • value_range: a tuple or a list of two elements. The first value represents the lower bound for values in passed images, the second represents the upper bound. Images passed to the layer should have values within value_range. Defaults to (0, 255).
  • seed: Integer. Used to create a random seed.
RandomInvert layer
RandomInvert class