tf.image.stateless_random_contrast

Adjust the contrast of images by a random factor deterministically.

tf.image.stateless_random_contrast(
    image, lower, upper, seed
)

Used in the notebooks

Used in the tutorials
Data augmentation

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).

Args
image	An image tensor with 3 or more dimensions.
lower	float. Lower bound for the random contrast factor.
upper	float. Upper bound for the random contrast factor.
seed	A shape [2] Tensor, the seed to the random number generator. Must have dtype int32 or int64. (When using XLA, only int32 is allowed.)

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_contrast(x, 0.2, 0.5, seed)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=
array([[[3.4605184, 4.4605184, 5.4605184],
        [4.820173 , 5.820173 , 6.820173 ]],
       [[6.179827 , 7.179827 , 8.179828 ],
        [7.5394816, 8.539482 , 9.539482 ]]], dtype=float32)>

Returns
The contrast-adjusted image(s).

Raises
ValueError	if upper <= lower or if lower < 0.