Tegra-optimized features matching for Stitching
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@ -1,4 +1,3 @@
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include_directories("${OpenCV_SOURCE_DIR}/modules/imgproc/src") # For gcgraph.hpp
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if(ANDROID)
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define_opencv_module(stitching opencv_core opencv_imgproc opencv_features2d opencv_calib3d opencv_flann opencv_objdetect)
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else()
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@ -1,12 +1,18 @@
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#include "perf_precomp.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/flann/flann.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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#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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PERF_TEST_P( stitch, a123, testing::Values("surf", "orb"))
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{
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@ -23,8 +29,8 @@ PERF_TEST_P( stitch, a123, testing::Values("surf", "orb"))
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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, 0.3f)
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: new detail::BestOf2NearestMatcher(false, 0.65f);
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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(50);
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@ -33,6 +39,8 @@ PERF_TEST_P( stitch, a123, testing::Values("surf", "orb"))
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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 CylindricalWarper());
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stitcher.setRegistrationResol(WORK_MEGAPIX);
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startTimer();
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status = stitcher.stitch(imgs, pano);
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@ -54,8 +62,8 @@ PERF_TEST_P( stitch, b12, testing::Values("surf", "orb"))
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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, 0.3f)
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: new detail::BestOf2NearestMatcher(false, 0.65f);
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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(50);
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@ -64,9 +72,56 @@ PERF_TEST_P( stitch, b12, testing::Values("surf", "orb"))
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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 CylindricalWarper());
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stitcher.setRegistrationResol(WORK_MEGAPIX);
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startTimer();
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status = 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, testing::Values("surf", "orb"))
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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 = std::min(1.0, sqrt(WORK_MEGAPIX * 1e6 / img1_full.total()));
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float scale2 = 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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@ -147,11 +147,16 @@ private:
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void CpuMatcher::match(const ImageFeatures &features1, const ImageFeatures &features2, MatchesInfo& matches_info)
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{
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matches_info.matches.clear();
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CV_Assert(features1.descriptors.type() == features2.descriptors.type());
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CV_Assert(features2.descriptors.depth() == CV_8U || features2.descriptors.depth() == CV_32F);
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#ifdef HAVE_TEGRA_OPTIMIZATION
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if (tegra::match2nearest(features1, features2, matches_info, match_conf_))
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return;
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#endif
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matches_info.matches.clear();
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Ptr<flann::IndexParams> indexParams = new flann::KDTreeIndexParams();
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Ptr<flann::SearchParams> searchParams = new flann::SearchParams();
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@ -54,6 +54,8 @@
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#include <functional>
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#include <sstream>
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#include <cmath>
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#include "opencv2/core/core.hpp"
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#include "opencv2/core/internal.hpp"
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#include "opencv2/stitching/stitcher.hpp"
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#include "opencv2/stitching/detail/autocalib.hpp"
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#include "opencv2/stitching/detail/blenders.hpp"
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@ -64,14 +66,17 @@
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#include "opencv2/stitching/detail/seam_finders.hpp"
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#include "opencv2/stitching/detail/util.hpp"
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#include "opencv2/stitching/detail/warpers.hpp"
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#include "opencv2/core/core.hpp"
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#include "opencv2/core/internal.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/features2d/features2d.hpp"
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#include "opencv2/calib3d/calib3d.hpp"
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#ifndef ANDROID
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# include "opencv2/gpu/gpu.hpp"
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#endif
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#include "gcgraph.hpp"
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#include "modules/imgproc/src/gcgraph.hpp"
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#ifdef HAVE_TEGRA_OPTIMIZATION
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# include "opencv2/stitching/stitching_tegra.hpp"
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#endif
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#endif
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