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Open Source Computer Vision Library
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146 lines
4.5 KiB
146 lines
4.5 KiB
// 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 cvtest { |
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namespace ocl { |
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using namespace cv; |
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using namespace perf; |
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using namespace std; |
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using namespace std::tr1; |
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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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#ifdef HAVE_OPENCV_XFEATURES2D |
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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, 50); |
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EXPECT_NEAR(pano.size().height, 644, 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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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 cvtest::ocl |
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#endif // HAVE_OPENCL
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