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tf.image.random_hue

TensorFlow 1 version View source on GitHub

Adjust the hue of RGB images by a random factor.

tf.image.random_hue(
    image, max_delta, seed=None
)

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=...> 

Args:

  • 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.

Returns:

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

Raises:

  • ValueError: if max_delta is invalid.