tf.image.random_saturation
Adjust the saturation of RGB images by a random factor.
tf.image.random_saturation(
image, lower, upper, seed=None
)
Equivalent to adjust_saturation() but uses a saturation_factor randomly picked in the interval [lower, upper).
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_saturation(x, 5, 10)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=
array([[[ 0. , 1.5, 3. ],
[ 0. , 3. , 6. ]],
[[ 0. , 4.5, 9. ],
[ 0. , 6. , 12. ]]], dtype=float32)>
| Args |
|---|
image | RGB image or images. The size of the last dimension must be 3. |
lower | float. Lower bound for the random saturation factor. |
upper | float. Upper bound for the random saturation factor. |
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 upper <= lower or if lower < 0. |