Adjust the brightness of images by a random factor.
tf.image.random_brightness(
image, max_delta, seed=None
)
Equivalent to adjust_brightness() using a delta randomly picked in the
interval [-max_delta, max_delta).
Args |
|---|
image
|
An image or images to adjust.
|
max_delta
|
float, must be non-negative.
|
seed
|
A Python integer. Used to create a random seed. See
tf.compat.v1.set_random_seed for behavior.
|
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_brightness(x, 0.2)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=...>
Returns |
|---|
|
The brightness-adjusted image(s).
|
Raises |
|---|
ValueError
|
if max_delta is negative.
|
TensorFlow 1 version
View source on GitHub