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Open Source Computer Vision Library
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77 lines
2.0 KiB
77 lines
2.0 KiB
#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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