/*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 // Peng Xiao, pengxiao@outlook.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 "perf_precomp.hpp" ///////////// GoodFeaturesToTrack //////////////////////// PERFTEST(GoodFeaturesToTrack) { using namespace cv; int maxCorners = 2000; double qualityLevel = 0.01; std::string images[] = { "rubberwhale1.png", "aloeL.jpg" }; std::vector pts_gold, pts_ocl; for(size_t imgIdx = 0; imgIdx < (sizeof(images)/sizeof(std::string)); ++imgIdx) { Mat frame = imread(abspath(images[imgIdx]), IMREAD_GRAYSCALE); CV_Assert(!frame.empty()); for(float minDistance = 0; minDistance < 4; minDistance += 3.0) { SUBTEST << "image = " << images[imgIdx] << "; "; SUBTEST << "minDistance = " << minDistance << "; "; cv::goodFeaturesToTrack(frame, pts_gold, maxCorners, qualityLevel, minDistance); CPU_ON; cv::goodFeaturesToTrack(frame, pts_gold, maxCorners, qualityLevel, minDistance); CPU_OFF; cv::ocl::GoodFeaturesToTrackDetector_OCL detector(maxCorners, qualityLevel, minDistance); ocl::oclMat frame_ocl(frame), pts_oclmat; WARMUP_ON; detector(frame_ocl, pts_oclmat); WARMUP_OFF; detector.downloadPoints(pts_oclmat, pts_ocl); double diff = abs(static_cast(pts_gold.size() - pts_ocl.size())); TestSystem::instance().setAccurate(diff == 0.0, diff); GPU_ON; detector(frame_ocl, pts_oclmat); GPU_OFF; GPU_FULL_ON; frame_ocl.upload(frame); detector(frame_ocl, pts_oclmat); detector.downloadPoints(pts_oclmat, pts_ocl); GPU_FULL_OFF; } } }