tf.image.stateless_random_brightness

Adjust the brightness of images by a random factor deterministically.

tf.image.stateless_random_brightness( image, max_delta, seed )

Used in the notebooks

Used in the tutorials

Equivalent to adjust_brightness() using a delta randomly picked in the interval [-max_delta, max_delta).

Guarantees 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).

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]]] seed = (1, 2) tf.image.stateless_random_brightness(x, 0.2, seed) <tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy= array([[[ 1.1376241, 2.1376243, 3.1376243],  [ 4.1376243, 5.1376243, 6.1376243]],  [[ 7.1376243, 8.137624 , 9.137624 ],  [10.137624 , 11.137624 , 12.137624 ]]], dtype=float32)>

image An image or images to adjust.
max_delta float, must be non-negative.
seed A shape [2] Tensor, the seed to the random number generator. Must have dtype int32 or int64. (When using XLA, only int32 is allowed.)

The brightness-adjusted image(s).

ValueError if max_delta is negative.