/*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) 2015, Itseez Inc, 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 Itseez Inc 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 "dpm_convolution.hpp" namespace cv { namespace dpm { double ConvolutionEngine::convolve(const Mat &feat, const Mat &filter, int dimHOG, int x, int y) { double val = 0; for (int yp = 0; yp < filter.rows; yp++) { const double *pfeat = (double*)feat.ptr(y + yp) + x * dimHOG; const double *pfilter = (double*)filter.ptr(yp); for (int xp = 0; xp < filter.cols; xp++) { val += pfeat[xp] * pfilter[xp]; } } return val; } void ConvolutionEngine::convolve(const Mat &feat, const Mat &filter, int dimHOG, Mat &result) { for (int y = 0; y < result.rows; y++) { double *presult = (double*)result.ptr(y); for (int x = 0; x < result.cols; x++) { double val = 0; for (int yp = 0; yp < filter.rows; yp++) { const double *pfeat = (double*)feat.ptr(y + yp) + x * dimHOG; const double *pfilter = (double*)filter.ptr(yp); for (int xp = 0; xp < filter.cols; xp++) { val += pfeat[xp] * pfilter[xp]; } } // yp presult[x] = val; } // x } // y } } // namespace cv } // namespace dpm