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1 /*M///////////////////////////////////////////////////////////////////////////////////////
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10 //                           License Agreement
11 //                For Open Source Computer Vision Library
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42 
43 #include "perf_precomp.hpp"
44 
45 using namespace std;
46 using namespace testing;
47 using namespace perf;
48 
49 //////////////////////////////////////////////////////
50 // GoodFeaturesToTrack
51 
52 DEF_PARAM_TEST(Image_MinDistance, string, double);
53 
54 PERF_TEST_P(Image_MinDistance, GoodFeaturesToTrack,
55             Combine(Values<string>("gpu/perf/aloe.png"),
56                     Values(0.0, 3.0)))
57 {
58     const string fileName = GET_PARAM(0);
59     const double minDistance = GET_PARAM(1);
60 
61     const cv::Mat image = readImage(fileName, cv::IMREAD_GRAYSCALE);
62     ASSERT_FALSE(image.empty());
63 
64     const int maxCorners = 8000;
65     const double qualityLevel = 0.01;
66 
67     if (PERF_RUN_CUDA())
68     {
69         cv::Ptr<cv::cuda::CornersDetector> d_detector = cv::cuda::createGoodFeaturesToTrackDetector(image.type(), maxCorners, qualityLevel, minDistance);
70 
71         const cv::cuda::GpuMat d_image(image);
72         cv::cuda::GpuMat pts;
73 
74         TEST_CYCLE() d_detector->detect(d_image, pts);
75 
76         CUDA_SANITY_CHECK(pts);
77     }
78     else
79     {
80         cv::Mat pts;
81 
82         TEST_CYCLE() cv::goodFeaturesToTrack(image, pts, maxCorners, qualityLevel, minDistance);
83 
84         CPU_SANITY_CHECK(pts);
85     }
86 }
87