#include "perf_precomp.hpp" using namespace std; using namespace cv; using namespace perf; using std::tr1::make_tuple; using std::tr1::get; typedef perf::TestBaseWithParam orb; #define ORB_IMAGES \ "cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\ "stitching/a3.png" PERF_TEST_P(orb, detect, testing::Values(ORB_IMAGES)) { String filename = getDataPath(GetParam()); Mat frame = imread(filename, IMREAD_GRAYSCALE); if (frame.empty()) FAIL() << "Unable to load source image " << filename; Mat mask; declare.in(frame); ORB detector(1500, 1.3f, 1); vector points; TEST_CYCLE() detector(frame, mask, points); sort(points.begin(), points.end(), comparators::KeypointGreater()); SANITY_CHECK_KEYPOINTS(points, 1e-7, ERROR_RELATIVE); } PERF_TEST_P(orb, extract, testing::Values(ORB_IMAGES)) { String filename = getDataPath(GetParam()); Mat frame = imread(filename, IMREAD_GRAYSCALE); if (frame.empty()) FAIL() << "Unable to load source image " << filename; Mat mask; declare.in(frame); ORB detector(1500, 1.3f, 1); vector points; detector(frame, mask, points); sort(points.begin(), points.end(), comparators::KeypointGreater()); Mat descriptors; TEST_CYCLE() detector(frame, mask, points, descriptors, true); SANITY_CHECK(descriptors); } PERF_TEST_P(orb, full, testing::Values(ORB_IMAGES)) { String filename = getDataPath(GetParam()); Mat frame = imread(filename, IMREAD_GRAYSCALE); if (frame.empty()) FAIL() << "Unable to load source image " << filename; Mat mask; declare.in(frame); ORB detector(1500, 1.3f, 1); vector points; Mat descriptors; TEST_CYCLE() detector(frame, mask, points, descriptors, false); perf::sort(points, descriptors); SANITY_CHECK_KEYPOINTS(points, 1e-8, ERROR_RELATIVE); SANITY_CHECK(descriptors); }