tf.image.random_saturation

Adjust the saturation of RGB images by a random factor.

Used in the notebooks

Used in the tutorials

Equivalent to adjust_saturation() but uses a saturation_factor randomly picked in the interval [lower, upper).

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_saturation(x, 5, 10)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=
array([[[ 0. ,  1.5,  3. ],
        [ 0. ,  3. ,  6. ]],
       [[ 0. ,  4.5,  9. ],
        [ 0. ,  6. , 12. ]]], dtype=float32)>

For producing deterministic results given a seed value, use