tf.image.random_brightness | TensorFlow v2.16.1 (original) (raw)
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
)
Used in the notebooks
| Used in the tutorials |
|---|
| Fine tuning models for plant disease detection |
Equivalent to adjust_brightness() using a delta randomly picked in the interval [-max_delta, max_delta).
For producing deterministic results given a seed value, usetf.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. This parameter controls the maximum relative change in brightness. |
| seed | A Python integer. Used to create a random seed. Seetf.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. |