tf.image.random

TensorFlow 1 version

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Adjust the saturation of RGB images by a random factor.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.image.random_saturation

tf.image.random_saturation(
    image, lower, upper, seed=None
)

Equivalent to adjust_saturation() but uses a saturation_factor randomly picked in the interval [lower, upper).

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_saturation(x, 5, 10)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=
array([[[ 0. ,  1.5,  3. ],
        [ 0. ,  3. ,  6. ]],
       [[ 0. ,  4.5,  9. ],
        [ 0. ,  6. , 12. ]]], dtype=float32)>

Args
`image`	RGB image or images. The size of the last dimension must be 3.
`lower`	float. Lower bound for the random saturation factor.
`upper`	float. Upper bound for the random saturation factor.
`seed`	An operation-specific seed. It will be used in conjunction with the graph-level seed to determine the real seeds that will be used in this operation. Please see the documentation of set_random_seed for its interaction with the graph-level random seed.

Returns
Adjusted image(s), same shape and DType as `image`.

Raises
`ValueError`	if `upper <= lower` or if `lower < 0`.

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Usage Example:

Args

Returns

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