/*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) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage 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 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 std; using namespace testing; using namespace perf; ////////////////////////////////////////////////////// // GoodFeaturesToTrack DEF_PARAM_TEST(Image_MinDistance, string, double); PERF_TEST_P(Image_MinDistance, GoodFeaturesToTrack, Combine(Values<string>("gpu/perf/aloe.png"), Values(0.0, 3.0))) { const string fileName = GET_PARAM(0); const double minDistance = GET_PARAM(1); const cv::Mat image = readImage(fileName, cv::IMREAD_GRAYSCALE); ASSERT_FALSE(image.empty()); const int maxCorners = 8000; const double qualityLevel = 0.01; if (PERF_RUN_CUDA()) { cv::Ptr<cv::cuda::CornersDetector> d_detector = cv::cuda::createGoodFeaturesToTrackDetector(image.type(), maxCorners, qualityLevel, minDistance); const cv::cuda::GpuMat d_image(image); cv::cuda::GpuMat pts; TEST_CYCLE() d_detector->detect(d_image, pts); CUDA_SANITY_CHECK(pts); } else { cv::Mat pts; TEST_CYCLE() cv::goodFeaturesToTrack(image, pts, maxCorners, qualityLevel, minDistance); CPU_SANITY_CHECK(pts); } }