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Adjust the hue of RGB images by a random factor.

Used in the notebooks

Used in the tutorials

Equivalent to adjust_hue() but uses a delta randomly picked in the interval [-max_delta, max_delta).

max_delta must be in the interval [0, 0.5].

Usage Example:

x = [[[1.0, 2.0, 3.0],
      [4.0, 5.0, 6.0]],
    [[7.0, 8.0, 9.0],
      [10.0, 11.0, 12.0]]]
tf.image.random_hue(x, 0.2)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=...>

For producing deterministic results given a seed value, use tf.image.stateless_random_hue. Unlike using the seed param with tf.image.random_* ops, tf.image.stateless_random_* ops guarantee the same results given the same seed independent of how many times the function is called, and independent of global seed settings (e.g. tf.random.set_seed).

image RGB image or images. The size of the last dimension must be 3.
max_delta float. The maximum value for the random delta.
seed An operation-specific seed. It will be used in conjunction with the graph-level seed to determine the real seeds that will be used in this operation. Please see the documentation of set_random_seed for its interaction with the graph-level random seed.

Adjusted image(s), same shape and DType as image.

ValueError if max_delta is invalid.