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.
|
TensorFlow 1 version
View source on GitHub