/*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) 2010-2012, Multicoreware, Inc., all rights reserved. // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // @Authors // Fangfang Bai, fangfang@multicorewareinc.com // Jin Ma, jin@multicorewareinc.com // // 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 oclMaterials 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" ///////////// HOG//////////////////////// bool match_rect(cv::Rect r1, cv::Rect r2, int threshold) { return ((abs(r1.x - r2.x) < threshold) && (abs(r1.y - r2.y) < threshold) && (abs(r1.width - r2.width) < threshold) && (abs(r1.height - r2.height) < threshold)); } PERFTEST(HOG) { Mat src = imread(abspath("road.png"), cv::IMREAD_GRAYSCALE); if (src.empty()) { throw runtime_error("can't open road.png"); } cv::HOGDescriptor hog; hog.setSVMDetector(hog.getDefaultPeopleDetector()); std::vector found_locations; std::vector d_found_locations; SUBTEST << 768 << 'x' << 576 << "; road.png"; hog.detectMultiScale(src, found_locations); CPU_ON; hog.detectMultiScale(src, found_locations); CPU_OFF; cv::ocl::HOGDescriptor ocl_hog; ocl_hog.setSVMDetector(ocl_hog.getDefaultPeopleDetector()); ocl::oclMat d_src; d_src.upload(src); WARMUP_ON; ocl_hog.detectMultiScale(d_src, d_found_locations); WARMUP_OFF; // Ground-truth rectangular people window cv::Rect win1_64x128(231, 190, 72, 144); cv::Rect win2_64x128(621, 156, 97, 194); cv::Rect win1_48x96(238, 198, 63, 126); cv::Rect win2_48x96(619, 161, 92, 185); cv::Rect win3_48x96(488, 136, 56, 112); // Compare whether ground-truth windows are detected and compare the number of windows detected. std::vector d_comp(4); std::vector comp(4); for(int i = 0; i < (int)d_comp.size(); i++) { d_comp[i] = 0; comp[i] = 0; } int threshold = 10; int val = 32; d_comp[0] = (int)d_found_locations.size(); comp[0] = (int)found_locations.size(); cv::Size winSize = hog.winSize; if (winSize == cv::Size(48, 96)) { for(int i = 0; i < (int)d_found_locations.size(); i++) { if (match_rect(d_found_locations[i], win1_48x96, threshold)) d_comp[1] = val; if (match_rect(d_found_locations[i], win2_48x96, threshold)) d_comp[2] = val; if (match_rect(d_found_locations[i], win3_48x96, threshold)) d_comp[3] = val; } for(int i = 0; i < (int)found_locations.size(); i++) { if (match_rect(found_locations[i], win1_48x96, threshold)) comp[1] = val; if (match_rect(found_locations[i], win2_48x96, threshold)) comp[2] = val; if (match_rect(found_locations[i], win3_48x96, threshold)) comp[3] = val; } } else if (winSize == cv::Size(64, 128)) { for(int i = 0; i < (int)d_found_locations.size(); i++) { if (match_rect(d_found_locations[i], win1_64x128, threshold)) d_comp[1] = val; if (match_rect(d_found_locations[i], win2_64x128, threshold)) d_comp[2] = val; } for(int i = 0; i < (int)found_locations.size(); i++) { if (match_rect(found_locations[i], win1_64x128, threshold)) comp[1] = val; if (match_rect(found_locations[i], win2_64x128, threshold)) comp[2] = val; } } cv::Mat ocl_mat; ocl_mat = cv::Mat(d_comp); ocl_mat.convertTo(ocl_mat, cv::Mat(comp).type()); TestSystem::instance().setAccurate(ExpectedMatNear(ocl_mat, cv::Mat(comp), 3)); GPU_ON; ocl_hog.detectMultiScale(d_src, found_locations); GPU_OFF; GPU_FULL_ON; d_src.upload(src); ocl_hog.detectMultiScale(d_src, found_locations); GPU_FULL_OFF; }