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10 // License Agreement
11 // For Open Source Computer Vision Library
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41 //M*/
42
43 #include "test_precomp.hpp"
44
45 #ifdef HAVE_CUDA
46
47 using namespace cvtest;
48
49 ////////////////////////////////////////////////////////
50 // Canny
51
52 namespace
53 {
54 IMPLEMENT_PARAM_CLASS(AppertureSize, int)
55 IMPLEMENT_PARAM_CLASS(L2gradient, bool)
56 }
57
PARAM_TEST_CASE(Canny,cv::cuda::DeviceInfo,AppertureSize,L2gradient,UseRoi)58 PARAM_TEST_CASE(Canny, cv::cuda::DeviceInfo, AppertureSize, L2gradient, UseRoi)
59 {
60 cv::cuda::DeviceInfo devInfo;
61 int apperture_size;
62 bool useL2gradient;
63 bool useRoi;
64
65 virtual void SetUp()
66 {
67 devInfo = GET_PARAM(0);
68 apperture_size = GET_PARAM(1);
69 useL2gradient = GET_PARAM(2);
70 useRoi = GET_PARAM(3);
71
72 cv::cuda::setDevice(devInfo.deviceID());
73 }
74 };
75
CUDA_TEST_P(Canny,Accuracy)76 CUDA_TEST_P(Canny, Accuracy)
77 {
78 cv::Mat img = readImage("stereobm/aloe-L.png", cv::IMREAD_GRAYSCALE);
79 ASSERT_FALSE(img.empty());
80
81 double low_thresh = 50.0;
82 double high_thresh = 100.0;
83
84 cv::Ptr<cv::cuda::CannyEdgeDetector> canny = cv::cuda::createCannyEdgeDetector(low_thresh, high_thresh, apperture_size, useL2gradient);
85
86 cv::cuda::GpuMat edges;
87 canny->detect(loadMat(img, useRoi), edges);
88
89 cv::Mat edges_gold;
90 cv::Canny(img, edges_gold, low_thresh, high_thresh, apperture_size, useL2gradient);
91
92 EXPECT_MAT_SIMILAR(edges_gold, edges, 2e-2);
93 }
94
95 INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, Canny, testing::Combine(
96 ALL_DEVICES,
97 testing::Values(AppertureSize(3), AppertureSize(5)),
98 testing::Values(L2gradient(false), L2gradient(true)),
99 WHOLE_SUBMAT));
100
101 #endif // HAVE_CUDA
102
