|TensorFlow 2 version||View source on GitHub|
Linearly scales each image in
image to have mean 0 and variance 1.
Compat aliases for migration
See Migration guide for more details.
tf.image.per_image_standardization( image )
For each 3-D image
(x - mean) / adjusted_stddev,
meanis the average of all values in
adjusted_stddev = max(stddev, 1.0/sqrt(N))is capped away from 0 to protect against division by 0 when handling uniform images
Nis the number of elements in
stddevis the standard deviation of all values in
||An n-D Tensor with at least 3 dimensions, the last 3 of which are the dimensions of each image.|
||if the shape of 'image' is incompatible with this function.|