What do you think if instead of adding this custom layer we can modify .ptototxt replacing it to series of layers that give the sample result? In example,

x*x -> reshape (1, 1, C, -1) -> ave pool by H -> multiply by C -> reshape back

Or, which is better, to do the same in the importer

In this case, we need to store outShapes in importer. Maybe we will have problems with nets without .caffemodel.

Maybe we will have problems with nets without .caffemodel.

Why so?

We have already tried to calculate outShapes in caffe_importer. Some tests failed in getMemoryShapes method if we don't use .caffemodel for nets with weighted layers.

I modified channel_norm.prototxt to a series of layers.

Why they are not supported?

Caffe result with these factors is not equal to OpenCV resize

How many ChannelNorm layers inside? Maybe it make sense to put modified .prototxt to opencv_extra?

I put modified .prototxt and .caffemodel to cloud.

Please rephrase so user can understand which are required steps and that are optional. Otherwise one can download .caffemodel then "To get original model". I'd like to put everything in one place and say "Download this and that. Otherwise download original model from here".

Changes required in prototxt file I'd like to recommend to write right in the prototxt file as a reference to origin prototxt file.