opened
manuelcosta74
username_0
@username_1 back to standardization. 

Is there an "off the shelf" solution to do a per channel and per image standardization (mean & stdev) like Tensorflow tf.image.per_image_standardization? 
Note that this is not the same as #244 where avg & sdtDev were constant.
Just have a model with this requirement. 

thanks
Per image standardization
issue
created
aseemw
username_1
The MVN layer in CoreML can do this operation: https://github.com/apple/coremltools/blob/master/mlmodel/format/NeuralNetwork.proto#L2066
comment
created
manuelcosta74
username_0
@username_1 thanks!

You can find it here working here:

https://github.com/username_0/keras-facenet/blob/master/code/Convert2CoreML.py
comment
closed
manuelcosta74
username_0
issue