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`.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/image/stateless_random_contrast