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108 lines
4.0 KiB
108 lines
4.0 KiB
/*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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// 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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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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