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42
modules/features2d/perf/perf_agast.cpp
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42
modules/features2d/perf/perf_agast.cpp
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#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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enum { AGAST_5_8 = AgastFeatureDetector::AGAST_5_8, AGAST_7_12d = AgastFeatureDetector::AGAST_7_12d,
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AGAST_7_12s = AgastFeatureDetector::AGAST_7_12s, OAST_9_16 = AgastFeatureDetector::OAST_9_16 };
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CV_ENUM(AgastType, AGAST_5_8, AGAST_7_12d,
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AGAST_7_12s, OAST_9_16)
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typedef std::tr1::tuple<string, AgastType> File_Type_t;
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typedef perf::TestBaseWithParam<File_Type_t> agast;
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#define AGAST_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(agast, detect, testing::Combine(
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testing::Values(AGAST_IMAGES),
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AgastType::all()
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))
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{
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string filename = getDataPath(get<0>(GetParam()));
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int type = get<1>(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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declare.in(frame);
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Ptr<FeatureDetector> fd = AgastFeatureDetector::create(70, true, type);
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ASSERT_FALSE( fd.empty() );
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vector<KeyPoint> points;
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TEST_CYCLE() fd->detect(frame, points);
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SANITY_CHECK_KEYPOINTS(points);
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}
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