tf.image.random_brightness

Adjust the brightness of images by a random factor.

tf.image.random_brightness(
    image, max_delta, seed=None
)

Used in the notebooks

Used in the tutorials

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).

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. 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=...>

The brightness-adjusted image(s).

ValueError if max_delta is negative.