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)
.
For producing deterministic results given a seed
value, use
tf.image.stateless_random_brightness
. Unlike using the seed
param
with tf.image.random_*
ops, tf.image.stateless_random_*
ops guarantee 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 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.
|