tfm.vision.preprocess_ops.normalize_scaled_float_image
Stay organized with collections
Save and categorize content based on your preferences.
Normalizes a scaled float image to zero mean and unit variance.
tfm.vision.preprocess_ops.normalize_scaled_float_image(
image: tf.Tensor,
offset: Sequence[float] = tfm.vision.preprocess_ops.MEAN_NORM,
scale: Sequence[float] = tfm.vision.preprocess_ops.STDDEV_NORM
)
It assumes the input image is float dtype with values in [0, 1) if offset is
MEAN_NORM, values in [0, 255] if offset is MEAN_RGB.
Args |
|---|
image
|
A tf.Tensor in float32 dtype with values in range [0, 1) or [0, 255].
|
offset
|
A tuple of mean values to be subtracted from the image.
|
scale
|
A tuple of normalization factors.
|
Returns |
|---|
|
A normalized image tensor.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-02-02 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-02-02 UTC."],[],[]]
View source on GitHub