/*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 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 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" using namespace perf; using std::tr1::tuple; using std::tr1::get; ///////////// GoodFeaturesToTrack //////////////////////// typedef tuple GoodFeaturesToTrackParams; typedef TestBaseWithParam GoodFeaturesToTrackFixture; PERF_TEST_P(GoodFeaturesToTrackFixture, GoodFeaturesToTrack, ::testing::Combine(::testing::Values(string("gpu/opticalflow/rubberwhale1.png"), string("gpu/stereobm/aloe-L.png")), ::testing::Range(0.0, 4.0, 3.0))) { const GoodFeaturesToTrackParams param = GetParam(); const string fileName = getDataPath(get<0>(param)); const int maxCorners = 2000; const double qualityLevel = 0.01, minDistance = get<1>(param); Mat frame = imread(fileName, IMREAD_GRAYSCALE); ASSERT_TRUE(!frame.empty()) << "no input image"; vector pts_gold; declare.in(frame); if (RUN_OCL_IMPL) { ocl::oclMat oclFrame(frame), pts_oclmat; ocl::GoodFeaturesToTrackDetector_OCL detector(maxCorners, qualityLevel, minDistance); OCL_TEST_CYCLE() detector(oclFrame, pts_oclmat); detector.downloadPoints(pts_oclmat, pts_gold); SANITY_CHECK(pts_gold); } else if (RUN_PLAIN_IMPL) { TEST_CYCLE() cv::goodFeaturesToTrack(frame, pts_gold, maxCorners, qualityLevel, minDistance); SANITY_CHECK(pts_gold); } else OCL_PERF_ELSE }