tf.image.random_hue
Adjust the hue of RGB images by a random factor.
tf.image.random_hue(
image, max_delta, seed=None
)
Equivalent to adjust_hue() but uses a delta randomly picked in the interval [-max_delta, max_delta].
max_delta must be in the interval [0, 0.5].
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_hue(x, 0.2)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=...>
| Args | |
|---|---|
image |
RGB image or images. The size of the last dimension must be 3. |
max_delta |
float. The maximum value for the random delta. |
seed |
An operation-specific seed. It will be used in conjunction with the graph-level seed to determine the real seeds that will be used in this operation. Please see the documentation of set_random_seed for its interaction with the graph-level random seed. |
| Returns | |
|---|---|
Adjusted image(s), same shape and DType as image. |
| Raises | |
|---|---|
ValueError |
if max_delta is invalid. |
© 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/r2.3/api_docs/python/tf/image/random_hue