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148 lines
4.7 KiB
C++
148 lines
4.7 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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//
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// Copyright (C) 2014, Itseez, Inc, all rights reserved.
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#include "../perf_precomp.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
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#ifdef HAVE_OPENCL
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namespace opencv_test {
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using namespace perf;
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namespace ocl {
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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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#if defined(HAVE_OPENCV_XFEATURES2D) && defined(OPENCV_ENABLE_NONFREE)
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#define TEST_DETECTORS testing::Values("surf", "orb", "akaze")
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#else
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#define TEST_DETECTORS testing::Values("orb", "akaze")
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#endif
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OCL_PERF_TEST_P(stitch, a123, TEST_DETECTORS)
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{
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UMat pano;
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vector<Mat> _imgs;
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_imgs.push_back( imread( getDataPath("stitching/a1.png") ) );
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_imgs.push_back( imread( getDataPath("stitching/a2.png") ) );
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_imgs.push_back( imread( getDataPath("stitching/a3.png") ) );
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vector<UMat> imgs = ToUMat(_imgs);
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Ptr<detail::FeaturesFinder> featuresFinder = getFeatureFinder(GetParam());
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Ptr<detail::FeaturesMatcher> featuresMatcher = GetParam() == "orb"
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? makePtr<detail::BestOf2NearestMatcher>(false, ORB_MATCH_CONFIDENCE)
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: makePtr<detail::BestOf2NearestMatcher>(false, SURF_MATCH_CONFIDENCE);
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declare.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(makePtr<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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EXPECT_NEAR(pano.size().width, 1182, 50);
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EXPECT_NEAR(pano.size().height, 682, 30);
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SANITY_CHECK_NOTHING();
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}
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OCL_PERF_TEST_P(stitch, b12, TEST_DETECTORS)
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{
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UMat pano;
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vector<Mat> imgs;
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imgs.push_back( imread( getDataPath("stitching/b1.png") ) );
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imgs.push_back( imread( getDataPath("stitching/b2.png") ) );
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Ptr<detail::FeaturesFinder> featuresFinder = getFeatureFinder(GetParam());
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Ptr<detail::FeaturesMatcher> featuresMatcher = GetParam() == "orb"
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? makePtr<detail::BestOf2NearestMatcher>(false, ORB_MATCH_CONFIDENCE)
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: makePtr<detail::BestOf2NearestMatcher>(false, SURF_MATCH_CONFIDENCE);
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declare.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(makePtr<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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EXPECT_NEAR(pano.size().width, 1124, GetParam() == "surf" ? 100 : 50);
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EXPECT_NEAR(pano.size().height, 644, GetParam() == "surf" ? 60 : 30);
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SANITY_CHECK_NOTHING();
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}
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OCL_PERF_TEST_P(stitch, boat, TEST_DETECTORS)
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{
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Size expected_dst_size(10789, 2663);
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checkDeviceMaxMemoryAllocSize(expected_dst_size, CV_16SC3, 4);
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#if defined(_WIN32) && !defined(_WIN64)
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if (cv::ocl::useOpenCL())
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throw ::perf::TestBase::PerfSkipTestException();
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#endif
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UMat pano;
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vector<Mat> _imgs;
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_imgs.push_back( imread( getDataPath("stitching/boat1.jpg") ) );
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_imgs.push_back( imread( getDataPath("stitching/boat2.jpg") ) );
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_imgs.push_back( imread( getDataPath("stitching/boat3.jpg") ) );
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_imgs.push_back( imread( getDataPath("stitching/boat4.jpg") ) );
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_imgs.push_back( imread( getDataPath("stitching/boat5.jpg") ) );
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_imgs.push_back( imread( getDataPath("stitching/boat6.jpg") ) );
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vector<UMat> imgs = ToUMat(_imgs);
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Ptr<detail::FeaturesFinder> featuresFinder = getFeatureFinder(GetParam());
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Ptr<detail::FeaturesMatcher> featuresMatcher = GetParam() == "orb"
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? makePtr<detail::BestOf2NearestMatcher>(false, ORB_MATCH_CONFIDENCE)
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: makePtr<detail::BestOf2NearestMatcher>(false, SURF_MATCH_CONFIDENCE);
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declare.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(makePtr<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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EXPECT_NEAR(pano.size().width, expected_dst_size.width, 200);
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EXPECT_NEAR(pano.size().height, expected_dst_size.height, 100);
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SANITY_CHECK_NOTHING();
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}
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} } // namespace opencv_test::ocl
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#endif // HAVE_OPENCL
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