136 lines
4.3 KiB
C++
136 lines
4.3 KiB
C++
#include "perf_precomp.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/core/internal.hpp"
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#include "opencv2/flann/flann.hpp"
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#include "opencv2/opencv_modules.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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#define SURF_MATCH_CONFIDENCE 0.65f
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#define ORB_MATCH_CONFIDENCE 0.3f
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#define WORK_MEGAPIX 0.6
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typedef TestBaseWithParam<String> stitch;
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typedef TestBaseWithParam<String> match;
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#ifdef HAVE_OPENCV_NONFREE
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#define TEST_DETECTORS testing::Values("surf", "orb")
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#else
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#define TEST_DETECTORS testing::Values<String>("orb")
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#endif
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PERF_TEST_P(stitch, a123, TEST_DETECTORS)
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{
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Mat pano;
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vector<Mat> imgs;
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imgs.push_back( imread( getDataPath("stitching/a1.jpg") ) );
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imgs.push_back( imread( getDataPath("stitching/a2.jpg") ) );
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imgs.push_back( imread( getDataPath("stitching/a3.jpg") ) );
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Ptr<detail::FeaturesFinder> featuresFinder = GetParam() == "orb"
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? (detail::FeaturesFinder*)new detail::OrbFeaturesFinder()
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: (detail::FeaturesFinder*)new detail::SurfFeaturesFinder();
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Ptr<detail::FeaturesMatcher> featuresMatcher = GetParam() == "orb"
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? new detail::BestOf2NearestMatcher(false, ORB_MATCH_CONFIDENCE)
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: new detail::BestOf2NearestMatcher(false, SURF_MATCH_CONFIDENCE);
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declare.time(30 * 20).iterations(20);
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while(next())
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{
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Stitcher stitcher = Stitcher::createDefault();
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stitcher.setFeaturesFinder(featuresFinder);
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stitcher.setFeaturesMatcher(featuresMatcher);
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stitcher.setWarper(new SphericalWarper());
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stitcher.setRegistrationResol(WORK_MEGAPIX);
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startTimer();
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stitcher.stitch(imgs, pano);
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stopTimer();
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}
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}
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PERF_TEST_P(stitch, b12, TEST_DETECTORS)
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{
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Mat pano;
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vector<Mat> imgs;
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imgs.push_back( imread( getDataPath("stitching/b1.jpg") ) );
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imgs.push_back( imread( getDataPath("stitching/b2.jpg") ) );
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Ptr<detail::FeaturesFinder> featuresFinder = GetParam() == "orb"
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? (detail::FeaturesFinder*)new detail::OrbFeaturesFinder()
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: (detail::FeaturesFinder*)new detail::SurfFeaturesFinder();
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Ptr<detail::FeaturesMatcher> featuresMatcher = GetParam() == "orb"
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? new detail::BestOf2NearestMatcher(false, ORB_MATCH_CONFIDENCE)
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: new detail::BestOf2NearestMatcher(false, SURF_MATCH_CONFIDENCE);
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declare.time(30 * 20).iterations(20);
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while(next())
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{
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Stitcher stitcher = Stitcher::createDefault();
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stitcher.setFeaturesFinder(featuresFinder);
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stitcher.setFeaturesMatcher(featuresMatcher);
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stitcher.setWarper(new SphericalWarper());
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stitcher.setRegistrationResol(WORK_MEGAPIX);
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startTimer();
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stitcher.stitch(imgs, pano);
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stopTimer();
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}
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}
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PERF_TEST_P( match, bestOf2Nearest, TEST_DETECTORS)
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{
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Mat img1, img1_full = imread( getDataPath("stitching/b1.jpg") );
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Mat img2, img2_full = imread( getDataPath("stitching/b2.jpg") );
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float scale1 = (float)std::min(1.0, sqrt(WORK_MEGAPIX * 1e6 / img1_full.total()));
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float scale2 = (float)std::min(1.0, sqrt(WORK_MEGAPIX * 1e6 / img2_full.total()));
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resize(img1_full, img1, Size(), scale1, scale1);
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resize(img2_full, img2, Size(), scale2, scale2);
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Ptr<detail::FeaturesFinder> finder;
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Ptr<detail::FeaturesMatcher> matcher;
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if (GetParam() == "surf")
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{
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finder = new detail::SurfFeaturesFinder();
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matcher = new detail::BestOf2NearestMatcher(false, SURF_MATCH_CONFIDENCE);
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}
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else if (GetParam() == "orb")
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{
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finder = new detail::OrbFeaturesFinder();
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matcher = new detail::BestOf2NearestMatcher(false, ORB_MATCH_CONFIDENCE);
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}
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else
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{
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FAIL() << "Unknown 2D features type: " << GetParam();
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}
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detail::ImageFeatures features1, features2;
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(*finder)(img1, features1);
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(*finder)(img2, features2);
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detail::MatchesInfo pairwise_matches;
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declare.in(features1.descriptors, features2.descriptors)
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.iterations(100);
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while(next())
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{
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cvflann::seed_random(42);//for predictive FlannBasedMatcher
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startTimer();
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(*matcher)(features1, features2, pairwise_matches);
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stopTimer();
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matcher->collectGarbage();
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}
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}
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