Adjust the contrast of images by a random factor deterministically.
tf.image.stateless_random_contrast( image, lower, upper, seed )
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.) |
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 . |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/image/stateless_random_contrast