tf.image.stateless_random_hue

Adjust the hue of RGB images by a random factor deterministically.

tf.image.stateless_random_hue(
    image, max_delta, seed
)

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

Guarantees 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).

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]]]
seed = (1, 2)
tf.image.stateless_random_hue(x, 0.2, seed)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=
array([[[ 1.6514902,  1.       ,  3.       ],
        [ 4.65149  ,  4.       ,  6.       ]],
       [[ 7.65149  ,  7.       ,  9.       ],
        [10.65149  , 10.       , 12.       ]]], dtype=float32)>

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 A shape [2] Tensor, the seed to the random number generator. Must have dtype int32 or int64.

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

ValueError if max_delta is invalid.