tf.image.per_image_standardization
View source on GitHub |
Linearly scales each image in image
to have mean 0 and variance 1.
tf.image.per_image_standardization( image )
For each 3-D image x
in image
, computes (x - mean) / adjusted_stddev
, where
-
mean
is the average of all values inx
-
adjusted_stddev = max(stddev, 1.0/sqrt(N))
is capped away from 0 to protect against division by 0 when handling uniform images-
N
is the number of elements inx
-
stddev
is the standard deviation of all values inx
-
Args | |
---|---|
image |
An n-D Tensor with at least 3 dimensions, the last 3 of which are the dimensions of each image. |
Returns | |
---|---|
A Tensor with same shape and dtype as image . |
Raises | |
---|---|
ValueError |
if the shape of 'image' is incompatible with this function. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/image/per_image_standardization