tf.image.per_image_standardization

TensorFlow 1 version

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Adjust the brightness of images by a random factor.

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Compat aliases for migration

See Migration guide for more details.

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.

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tf.image / per_image_standardization

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Args

Usage Example:

Returns

Raises