tf.image.random_brightness
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Adjust the brightness of images by a random factor.
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tf.compat.v1.image.random_brightness
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.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2021-02-18 UTC.
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TensorFlow 1 version
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