The usage of "AdaptiveNorm" layer in the modules
peiyaoooo opened this issue · comments
Hi huikai, thank your for your excellent work.
And I want to know something the adaptiveNorm layer in your module.
I find the inplementation of adaptivenorm layer in https://github.com/wuhuikai/DeepGuidedFilter/blob/master/ImageProcessing/DeepGuidedFilteringNetwork/module.py#L27.
But the weight factor w_1 is 0. The output of this layer equals the input. How can this layer use as a normalized layer? or you change this weight factor in your training procedure?
Hope for your reply! Thank you again.
oooops，I find it's my mistake since the w_1 is a trainable parameter for this layer. Sorry for this issue.