/*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 "test_precomp.hpp" #ifdef HAVE_CUDA using namespace cvtest; ////////////////////////////////////////////////////// // GoodFeaturesToTrack namespace { IMPLEMENT_PARAM_CLASS(MinDistance, double) } PARAM_TEST_CASE(GoodFeaturesToTrack, cv::gpu::DeviceInfo, MinDistance) { cv::gpu::DeviceInfo devInfo; double minDistance; virtual void SetUp() { devInfo = GET_PARAM(0); minDistance = GET_PARAM(1); cv::gpu::setDevice(devInfo.deviceID()); } }; GPU_TEST_P(GoodFeaturesToTrack, Accuracy) { cv::Mat image = readImage("opticalflow/frame0.png", cv::IMREAD_GRAYSCALE); ASSERT_FALSE(image.empty()); int maxCorners = 1000; double qualityLevel = 0.01; cv::Ptr detector = cv::gpu::createGoodFeaturesToTrackDetector(image.type(), maxCorners, qualityLevel, minDistance); cv::gpu::GpuMat d_pts; detector->detect(loadMat(image), d_pts); ASSERT_FALSE(d_pts.empty()); std::vector pts(d_pts.cols); cv::Mat pts_mat(1, d_pts.cols, CV_32FC2, (void*) &pts[0]); d_pts.download(pts_mat); std::vector pts_gold; cv::goodFeaturesToTrack(image, pts_gold, maxCorners, qualityLevel, minDistance); ASSERT_EQ(pts_gold.size(), pts.size()); size_t mistmatch = 0; for (size_t i = 0; i < pts.size(); ++i) { cv::Point2i a = pts_gold[i]; cv::Point2i b = pts[i]; bool eq = std::abs(a.x - b.x) < 1 && std::abs(a.y - b.y) < 1; if (!eq) ++mistmatch; } double bad_ratio = static_cast(mistmatch) / pts.size(); ASSERT_LE(bad_ratio, 0.01); } GPU_TEST_P(GoodFeaturesToTrack, EmptyCorners) { int maxCorners = 1000; double qualityLevel = 0.01; cv::gpu::GpuMat src(100, 100, CV_8UC1, cv::Scalar::all(0)); cv::gpu::GpuMat corners(1, maxCorners, CV_32FC2); cv::Ptr detector = cv::gpu::createGoodFeaturesToTrackDetector(src.type(), maxCorners, qualityLevel, minDistance); detector->detect(src, corners); ASSERT_TRUE(corners.empty()); } INSTANTIATE_TEST_CASE_P(GPU_ImgProc, GoodFeaturesToTrack, testing::Combine( ALL_DEVICES, testing::Values(MinDistance(0.0), MinDistance(3.0)))); #endif // HAVE_CUDA