# tf.image.random_hue

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|---|
| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.14.0/tensorflow/python/ops/image_ops_impl.py#L2627-L2673) |

Adjust the hue of RGB images by a random factor.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.image.random_hue`](https://www.tensorflow.org/api_docs/python/tf/image/random_hue)

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    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=...>

For producing deterministic results given a `seed` value, use
[`tf.image.stateless_random_hue`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/image/stateless_random_hue). 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).

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| ## 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. |

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

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| ## Raises ||
|---|---|
| `ValueError` | if `max_delta` is invalid. |

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