wehub-resource-sync
74 lines
2.9 KiB
C++
74 lines
2.9 KiB
C++
#include "perf_precomp.hpp"
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namespace opencv_test
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{
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using namespace perf;
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typedef tuple<std::string, cv::Size> String_Size_t;
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typedef perf::TestBaseWithParam<String_Size_t> String_Size;
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PERF_TEST_P(String_Size, asymm_circles_grid, testing::Values(
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String_Size_t("cv/cameracalibration/asymmetric_circles/acircles1.png", Size(7,13)),
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String_Size_t("cv/cameracalibration/asymmetric_circles/acircles2.png", Size(7,13)),
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String_Size_t("cv/cameracalibration/asymmetric_circles/acircles3.png", Size(7,13)),
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String_Size_t("cv/cameracalibration/asymmetric_circles/acircles4.png", Size(5,5)),
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String_Size_t("cv/cameracalibration/asymmetric_circles/acircles5.png", Size(5,5)),
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String_Size_t("cv/cameracalibration/asymmetric_circles/acircles6.png", Size(5,5)),
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String_Size_t("cv/cameracalibration/asymmetric_circles/acircles7.png", Size(3,9)),
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String_Size_t("cv/cameracalibration/asymmetric_circles/acircles8.png", Size(3,9)),
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String_Size_t("cv/cameracalibration/asymmetric_circles/acircles9.png", Size(3,9))
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)
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)
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{
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string filename = getDataPath(get<0>(GetParam()));
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Size gridSize = get<1>(GetParam());
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Mat frame = imread(filename);
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if (frame.empty())
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FAIL() << "Unable to load source image " << filename;
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vector<Point2f> ptvec;
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ptvec.resize(gridSize.area());
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cvtColor(frame, frame, COLOR_BGR2GRAY);
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declare.in(frame).out(ptvec);
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TEST_CYCLE() ASSERT_TRUE(findCirclesGrid(frame, gridSize, ptvec, CALIB_CB_CLUSTERING | CALIB_CB_ASYMMETRIC_GRID));
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SANITY_CHECK(ptvec, 2);
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}
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// Perf test using synthetic keypoints (no image I/O). Exercises the RNG and
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// findLongestPath code paths directly with a pre-detected point set.
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typedef perf::TestBaseWithParam<cv::Size> CirclesGrid_RNG_Size;
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PERF_TEST_P(CirclesGrid_RNG_Size, detect_keypoints_symmetric,
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testing::Values(cv::Size(6, 5), cv::Size(8, 6), cv::Size(10, 8), cv::Size(15, 12), cv::Size(20, 15)))
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{
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const cv::Size patternSize = GetParam();
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const float spacing = 30.f;
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std::vector<cv::Point2f> pts;
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pts.reserve(patternSize.area());
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for (int r = 0; r < patternSize.height; r++)
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for (int c = 0; c < patternSize.width; c++)
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pts.push_back(cv::Point2f(c * spacing, r * spacing));
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// Shuffle so the detector works from an unordered set, same as real use.
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cv::RNG& rng = cv::theRNG();
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for (int k = (int)pts.size() - 1; k > 0; k--)
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std::swap(pts[k], pts[rng.uniform(0, k + 1)]);
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std::vector<cv::Point2f> centers;
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centers.resize(patternSize.area());
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declare.in(cv::Mat(pts)).out(centers);
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TEST_CYCLE() ASSERT_TRUE(findCirclesGrid(cv::Mat(pts), patternSize, centers,
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CALIB_CB_SYMMETRIC_GRID, cv::Ptr<cv::FeatureDetector>()));
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SANITY_CHECK_NOTHING();
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}
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} // namespace
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