tf.image.random_saturation
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Adjust the saturation of RGB images by a random factor.
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)>
For producing deterministic results given a seed value, use
tf.image.stateless_random_saturation. 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).
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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Last updated 2024-01-23 UTC.
[null,null,["Last updated 2024-01-23 UTC."],[],[],null,["# tf.image.random_saturation\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.15.0.post1/tensorflow/python/ops/image_ops_impl.py#L2998-L3047) |\n\nAdjust the saturation of RGB images by a random factor.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.image.random_saturation`](https://www.tensorflow.org/api_docs/python/tf/image/random_saturation)\n\n\u003cbr /\u003e\n\n tf.image.random_saturation(\n image, lower, upper, seed=None\n )\n\nEquivalent to `adjust_saturation()` but uses a `saturation_factor` randomly\npicked in the interval `[lower, upper)`.\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 tf.image.random_saturation(x, 5, 10)\n \u003ctf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=\n array([[[ 0. , 1.5, 3. ],\n [ 0. , 3. , 6. ]],\n [[ 0. , 4.5, 9. ],\n [ 0. , 6. , 12. ]]], dtype=float32)\u003e\n\nFor producing deterministic results given a `seed` value, use\n[`tf.image.stateless_random_saturation`](../../tf/image/stateless_random_saturation). Unlike using the `seed` param\nwith `tf.image.random_*` ops, `tf.image.stateless_random_*` ops guarantee the\nsame results given the same seed independent of how many times the function is\ncalled, and independent of global seed settings (e.g. tf.random.set_seed).\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| `lower` | float. Lower bound for the random saturation factor. |\n| `upper` | float. Upper bound for the random saturation factor. |\n| `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. |\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 `upper \u003c= lower` or if `lower \u003c 0`. |\n\n\u003cbr /\u003e"]]
View source on GitHub