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113 lines
4.1 KiB
C++
113 lines
4.1 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Copyright (C) 2017, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "../precomp.hpp"
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#include "layers_common.hpp"
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#include <opencv2/dnn/shape_utils.hpp>
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namespace cv
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{
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namespace dnn
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{
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class MVNLayerImpl : public MVNLayer
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{
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public:
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MVNLayerImpl(const LayerParams& params)
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{
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setParamsFrom(params);
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normVariance = params.get<bool>("normalize_variance", true);
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acrossChannels = params.get<bool>("across_channels", false);
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eps = params.get<double>("eps", 1e-9);
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}
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void forward(std::vector<Mat *> &inputs, std::vector<Mat> &outputs, std::vector<Mat> &internals)
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{
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CV_TRACE_FUNCTION();
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CV_TRACE_ARG_VALUE(name, "name", name.c_str());
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for (size_t inpIdx = 0; inpIdx < inputs.size(); inpIdx++)
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{
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Mat &inpBlob = *inputs[inpIdx];
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Mat &outBlob = outputs[inpIdx];
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int splitDim = (acrossChannels) ? 1 : 2;
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int i, newRows = 1;
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for( i = 0; i < splitDim; i++ )
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newRows *= inpBlob.size[i];
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Mat inpMat = inpBlob.reshape(1, newRows);
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Mat outMat = outBlob.reshape(1, newRows);
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Scalar mean, dev;
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for ( i = 0; i < newRows; i++)
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{
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Mat inpRow = inpMat.row(i);
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Mat outRow = outMat.row(i);
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cv::meanStdDev(inpRow, mean, (normVariance) ? dev : noArray());
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double alpha = (normVariance) ? 1/(eps + dev[0]) : 1;
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inpRow.convertTo(outRow, outRow.type(), alpha, -mean[0] * alpha);
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}
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}
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}
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virtual int64 getFLOPS(const std::vector<MatShape> &inputs,
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const std::vector<MatShape> &outputs) const
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{
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(void)outputs; // suppress unused variable warning
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long flops = 0;
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for(int i = 0; i < inputs.size(); i++)
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{
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flops += 6*total(inputs[i]) + 3*total(inputs[i], 0, normVariance ? 2 : 1);
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}
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return flops;
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}
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};
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Ptr<MVNLayer> MVNLayer::create(const LayerParams& params)
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{
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return Ptr<MVNLayer>(new MVNLayerImpl(params));
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}
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}
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}
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