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78 lines
2.0 KiB
C++
78 lines
2.0 KiB
C++
#include "perf_precomp.hpp"
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using namespace std;
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using namespace cv;
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using namespace perf;
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using std::tr1::make_tuple;
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using std::tr1::get;
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typedef perf::TestBaseWithParam<std::string> orb;
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#define ORB_IMAGES \
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"cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
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"stitching/a3.png"
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PERF_TEST_P(orb, detect, testing::Values(ORB_IMAGES))
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{
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string filename = getDataPath(GetParam());
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Mat frame = imread(filename, IMREAD_GRAYSCALE);
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if (frame.empty())
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FAIL() << "Unable to load source image " << filename;
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Mat mask;
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declare.in(frame);
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Ptr<ORB> detector = ORB::create(1500, 1.3f, 1);
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vector<KeyPoint> points;
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TEST_CYCLE() detector->detect(frame, points, mask);
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sort(points.begin(), points.end(), comparators::KeypointGreater());
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SANITY_CHECK_KEYPOINTS(points, 1e-5);
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}
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PERF_TEST_P(orb, extract, testing::Values(ORB_IMAGES))
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{
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string filename = getDataPath(GetParam());
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Mat frame = imread(filename, IMREAD_GRAYSCALE);
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if (frame.empty())
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FAIL() << "Unable to load source image " << filename;
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Mat mask;
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declare.in(frame);
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Ptr<ORB> detector = ORB::create(1500, 1.3f, 1);
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vector<KeyPoint> points;
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detector->detect(frame, points, mask);
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sort(points.begin(), points.end(), comparators::KeypointGreater());
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Mat descriptors;
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TEST_CYCLE() detector->compute(frame, points, descriptors);
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SANITY_CHECK(descriptors);
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}
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PERF_TEST_P(orb, full, testing::Values(ORB_IMAGES))
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{
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string filename = getDataPath(GetParam());
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Mat frame = imread(filename, IMREAD_GRAYSCALE);
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if (frame.empty())
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FAIL() << "Unable to load source image " << filename;
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Mat mask;
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declare.in(frame);
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Ptr<ORB> detector = ORB::create(1500, 1.3f, 1);
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vector<KeyPoint> points;
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Mat descriptors;
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TEST_CYCLE() detector->detectAndCompute(frame, mask, points, descriptors, false);
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perf::sort(points, descriptors);
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SANITY_CHECK_KEYPOINTS(points, 1e-5);
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SANITY_CHECK(descriptors);
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}
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