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
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. |