tf.image.stateless_random_hue
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Adjust the hue of RGB images by a random factor deterministically.
tf.image.stateless_random_hue(
image, max_delta, seed
)
Equivalent to adjust_hue() but uses 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).
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]]]
seed = (1, 2)
tf.image.stateless_random_hue(x, 0.2, seed)
<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=
array([[[ 1.6514902, 1. , 3. ],
[ 4.65149 , 4. , 6. ]],
[[ 7.65149 , 7. , 9. ],
[10.65149 , 10. , 12. ]]], dtype=float32)>
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
|
A shape [2] Tensor, the seed to the random number generator. Must have
dtype int32 or int64.
|
Returns |
|---|
Adjusted image(s), same shape and DType as image.
|
Raises |
|---|
ValueError
|
if max_delta is invalid.
|
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.image.stateless_random_hue\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/image_ops_impl.py#L2685-L2733) |\n\nAdjust the hue of RGB images by a random factor deterministically. \n\n tf.image.stateless_random_hue(\n image, max_delta, seed\n )\n\nEquivalent to `adjust_hue()` but uses a `delta` randomly picked in the\ninterval `[-max_delta, max_delta)`.\n\nGuarantees the same results given the same `seed` independent of how many\ntimes the function is called, and independent of global seed settings (e.g.\n[`tf.random.set_seed`](../../tf/random/set_seed)).\n\n`max_delta` must be in the interval `[0, 0.5]`.\n\n#### Usage Example:\n\n x = [[[1.0, 2.0, 3.0],\n [4.0, 5.0, 6.0]],\n [[7.0, 8.0, 9.0],\n [10.0, 11.0, 12.0]]]\n seed = (1, 2)\n tf.image.stateless_random_hue(x, 0.2, seed)\n \u003ctf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=\n array([[[ 1.6514902, 1. , 3. ],\n [ 4.65149 , 4. , 6. ]],\n [[ 7.65149 , 7. , 9. ],\n [10.65149 , 10. , 12. ]]], dtype=float32)\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-------------|----------------------------------------------------------------------------------------------------|\n| `image` | RGB image or images. The size of the last dimension must be 3. |\n| `max_delta` | float. The maximum value for the random delta. |\n| `seed` | A shape \\[2\\] Tensor, the seed to the random number generator. Must have dtype `int32` or `int64`. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Adjusted image(s), same shape and DType as `image`. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|----------------------------|\n| `ValueError` | if `max_delta` is invalid. |\n\n\u003cbr /\u003e"]]
View source on GitHub