tf.image.random_flip_left

TensorFlow 1 version

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Adjust the hue 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_hue

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

Equivalent to adjust_hue() but uses a delta randomly picked in the interval [-max_delta, max_delta).

max_delta must be in the interval [0, 0.5].

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_hue(x, 0.2)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=...>

Args
`image`	RGB image or images. The size of the last dimension must be 3.
`max_delta`	float. The maximum value for the random delta.
`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 `max_delta` is invalid.

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tf.image / random_flip_left_right

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Usage Example:

Args

Returns

Raises