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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "../precomp.hpp"
#include "layers_common.hpp"
#include "mvn_layer.hpp"
#include <opencv2/dnn/shape_utils.hpp>
namespace cv
{
namespace dnn
{
MVNLayerImpl::MVNLayerImpl(bool normVariance_, bool acrossChannels_, double eps_)
{
normVariance = normVariance_;
acrossChannels = acrossChannels_;
eps = eps_;
}
void MVNLayerImpl::allocate(const std::vector<Blob *> &inputs, std::vector<Blob> &outputs)
{
outputs.resize(inputs.size());
for (size_t i = 0; i < inputs.size(); i++)
{
CV_Assert(!acrossChannels || inputs[i]->dims() >= 2);
outputs[i].create(inputs[i]->shape(), inputs[i]->type());
}
}
void MVNLayerImpl::forward(std::vector<Blob *> &inputs, std::vector<Blob> &outputs)
{
for (size_t inpIdx = 0; inpIdx < inputs.size(); inpIdx++)
{
Blob &inpBlob = *inputs[inpIdx];
Blob &outBlob = outputs[inpIdx];
int splitDim = (acrossChannels) ? 1 : 2;
Shape workSize((int)inpBlob.total(0, splitDim), (int)inpBlob.total(splitDim));
Mat inpMat = reshaped(inpBlob.matRefConst(), workSize);
Mat outMat = reshaped(outBlob.matRef(), workSize);
Scalar mean, dev;
for (int i = 0; i < workSize[0]; i++)
{
Mat inpRow = inpMat.row(i);
Mat outRow = outMat.row(i);
cv::meanStdDev(inpRow, mean, (normVariance) ? dev : noArray());
double alpha = (normVariance) ? 1/(eps + dev[0]) : 1;
inpRow.convertTo(outRow, outRow.type(), alpha, -mean[0] * alpha);
}
}
}
Ptr<MVNLayer> MVNLayer::create(bool normVariance, bool acrossChannels, double eps)
{
return Ptr<MVNLayer>(new MVNLayerImpl(normVariance, acrossChannels, eps));
}
}
}