Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
using namespace std;
using namespace cv;
using namespace perf;
using std::tr1::make_tuple;
using std::tr1::get;
typedef std::tr1::tuple<std::string, cv::Size> String_Size_t;
typedef perf::TestBaseWithParam<String_Size_t> String_Size;
PERF_TEST_P(String_Size, asymm_circles_grid, testing::Values(
String_Size_t("cv/cameracalibration/asymmetric_circles/acircles1.png", Size(7,13)),
String_Size_t("cv/cameracalibration/asymmetric_circles/acircles2.png", Size(7,13)),
String_Size_t("cv/cameracalibration/asymmetric_circles/acircles3.png", Size(7,13)),
String_Size_t("cv/cameracalibration/asymmetric_circles/acircles4.png", Size(5,5)),
String_Size_t("cv/cameracalibration/asymmetric_circles/acircles5.png", Size(5,5)),
String_Size_t("cv/cameracalibration/asymmetric_circles/acircles6.png", Size(5,5)),
String_Size_t("cv/cameracalibration/asymmetric_circles/acircles7.png", Size(3,9)),
String_Size_t("cv/cameracalibration/asymmetric_circles/acircles8.png", Size(3,9)),
String_Size_t("cv/cameracalibration/asymmetric_circles/acircles9.png", Size(3,9))
)
)
{
string filename = getDataPath(get<0>(GetParam()));
Size gridSize = get<1>(GetParam());
Mat frame = imread(filename);
if (frame.empty())
FAIL() << "Unable to load source image " << filename;
vector<Point2f> ptvec;
ptvec.resize(gridSize.area());
cvtColor(frame, frame, COLOR_BGR2GRAY);
declare.in(frame).out(ptvec);
TEST_CYCLE() ASSERT_TRUE(findCirclesGrid(frame, gridSize, ptvec, CALIB_CB_CLUSTERING | CALIB_CB_ASYMMETRIC_GRID));
SANITY_CHECK(ptvec, 2);
}