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11 //                For Open Source Computer Vision Library
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42 
43 #include "test_precomp.hpp"
44 
45 #if defined HAVE_CUDA && defined HAVE_OPENCV_CALIB3D
46 
47 #include "opencv2/calib3d.hpp"
48 
49 using namespace cvtest;
50 
51 ///////////////////////////////////////////////////////////////////////////////////////////////////////
52 // transformPoints
53 
54 struct TransformPoints : testing::TestWithParam<cv::cuda::DeviceInfo>
55 {
56     cv::cuda::DeviceInfo devInfo;
57 
SetUpTransformPoints58     virtual void SetUp()
59     {
60         devInfo = GetParam();
61 
62         cv::cuda::setDevice(devInfo.deviceID());
63     }
64 };
65 
CUDA_TEST_P(TransformPoints,Accuracy)66 CUDA_TEST_P(TransformPoints, Accuracy)
67 {
68     cv::Mat src = randomMat(cv::Size(1000, 1), CV_32FC3, 0, 10);
69     cv::Mat rvec = randomMat(cv::Size(3, 1), CV_32F, 0, 1);
70     cv::Mat tvec = randomMat(cv::Size(3, 1), CV_32F, 0, 1);
71 
72     cv::cuda::GpuMat dst;
73     cv::cuda::transformPoints(loadMat(src), rvec, tvec, dst);
74 
75     ASSERT_EQ(src.size(), dst.size());
76     ASSERT_EQ(src.type(), dst.type());
77 
78     cv::Mat h_dst(dst);
79 
80     cv::Mat rot;
81     cv::Rodrigues(rvec, rot);
82 
83     for (int i = 0; i < h_dst.cols; ++i)
84     {
85         cv::Point3f res = h_dst.at<cv::Point3f>(0, i);
86 
87         cv::Point3f p = src.at<cv::Point3f>(0, i);
88         cv::Point3f res_gold(
89                 rot.at<float>(0, 0) * p.x + rot.at<float>(0, 1) * p.y + rot.at<float>(0, 2) * p.z + tvec.at<float>(0, 0),
90                 rot.at<float>(1, 0) * p.x + rot.at<float>(1, 1) * p.y + rot.at<float>(1, 2) * p.z + tvec.at<float>(0, 1),
91                 rot.at<float>(2, 0) * p.x + rot.at<float>(2, 1) * p.y + rot.at<float>(2, 2) * p.z + tvec.at<float>(0, 2));
92 
93         ASSERT_POINT3_NEAR(res_gold, res, 1e-5);
94     }
95 }
96 
97 INSTANTIATE_TEST_CASE_P(CUDA_Calib3D, TransformPoints, ALL_DEVICES);
98 
99 ///////////////////////////////////////////////////////////////////////////////////////////////////////
100 // ProjectPoints
101 
102 struct ProjectPoints : testing::TestWithParam<cv::cuda::DeviceInfo>
103 {
104     cv::cuda::DeviceInfo devInfo;
105 
SetUpProjectPoints106     virtual void SetUp()
107     {
108         devInfo = GetParam();
109 
110         cv::cuda::setDevice(devInfo.deviceID());
111     }
112 };
113 
CUDA_TEST_P(ProjectPoints,Accuracy)114 CUDA_TEST_P(ProjectPoints, Accuracy)
115 {
116     cv::Mat src = randomMat(cv::Size(1000, 1), CV_32FC3, 0, 10);
117     cv::Mat rvec = randomMat(cv::Size(3, 1), CV_32F, 0, 1);
118     cv::Mat tvec = randomMat(cv::Size(3, 1), CV_32F, 0, 1);
119     cv::Mat camera_mat = randomMat(cv::Size(3, 3), CV_32F, 0.5, 1);
120     camera_mat.at<float>(0, 1) = 0.f;
121     camera_mat.at<float>(1, 0) = 0.f;
122     camera_mat.at<float>(2, 0) = 0.f;
123     camera_mat.at<float>(2, 1) = 0.f;
124 
125     cv::cuda::GpuMat dst;
126     cv::cuda::projectPoints(loadMat(src), rvec, tvec, camera_mat, cv::Mat(), dst);
127 
128     ASSERT_EQ(1, dst.rows);
129     ASSERT_EQ(MatType(CV_32FC2), MatType(dst.type()));
130 
131     std::vector<cv::Point2f> dst_gold;
132     cv::projectPoints(src, rvec, tvec, camera_mat, cv::Mat(1, 8, CV_32F, cv::Scalar::all(0)), dst_gold);
133 
134     ASSERT_EQ(dst_gold.size(), static_cast<size_t>(dst.cols));
135 
136     cv::Mat h_dst(dst);
137 
138     for (size_t i = 0; i < dst_gold.size(); ++i)
139     {
140         cv::Point2f res = h_dst.at<cv::Point2f>(0, (int)i);
141         cv::Point2f res_gold = dst_gold[i];
142 
143         ASSERT_LE(cv::norm(res_gold - res) / cv::norm(res_gold), 1e-3f);
144     }
145 }
146 
147 INSTANTIATE_TEST_CASE_P(CUDA_Calib3D, ProjectPoints, ALL_DEVICES);
148 
149 ///////////////////////////////////////////////////////////////////////////////////////////////////////
150 // SolvePnPRansac
151 
152 struct SolvePnPRansac : testing::TestWithParam<cv::cuda::DeviceInfo>
153 {
154     cv::cuda::DeviceInfo devInfo;
155 
SetUpSolvePnPRansac156     virtual void SetUp()
157     {
158         devInfo = GetParam();
159 
160         cv::cuda::setDevice(devInfo.deviceID());
161     }
162 };
163 
CUDA_TEST_P(SolvePnPRansac,Accuracy)164 CUDA_TEST_P(SolvePnPRansac, Accuracy)
165 {
166     cv::Mat object = randomMat(cv::Size(5000, 1), CV_32FC3, 0, 100);
167     cv::Mat camera_mat = randomMat(cv::Size(3, 3), CV_32F, 0.5, 1);
168     camera_mat.at<float>(0, 1) = 0.f;
169     camera_mat.at<float>(1, 0) = 0.f;
170     camera_mat.at<float>(2, 0) = 0.f;
171     camera_mat.at<float>(2, 1) = 0.f;
172 
173     std::vector<cv::Point2f> image_vec;
174     cv::Mat rvec_gold;
175     cv::Mat tvec_gold;
176     rvec_gold = randomMat(cv::Size(3, 1), CV_32F, 0, 1);
177     tvec_gold = randomMat(cv::Size(3, 1), CV_32F, 0, 1);
178     cv::projectPoints(object, rvec_gold, tvec_gold, camera_mat, cv::Mat(1, 8, CV_32F, cv::Scalar::all(0)), image_vec);
179 
180     cv::Mat rvec, tvec;
181     std::vector<int> inliers;
182     cv::cuda::solvePnPRansac(object, cv::Mat(1, (int)image_vec.size(), CV_32FC2, &image_vec[0]),
183                             camera_mat, cv::Mat(1, 8, CV_32F, cv::Scalar::all(0)),
184                             rvec, tvec, false, 200, 2.f, 100, &inliers);
185 
186     ASSERT_LE(cv::norm(rvec - rvec_gold), 1e-3);
187     ASSERT_LE(cv::norm(tvec - tvec_gold), 1e-3);
188 }
189 
190 INSTANTIATE_TEST_CASE_P(CUDA_Calib3D, SolvePnPRansac, ALL_DEVICES);
191 
192 #endif // HAVE_CUDA
193