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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2014, Itseez, Inc, all rights reserved.
#include "../perf_precomp.hpp"
#include "opencv2/ts/ocl_perf.hpp"
#ifdef HAVE_OPENCL
namespace opencv_test {
using namespace perf;
namespace ocl {
#define SURF_MATCH_CONFIDENCE 0.65f
#define ORB_MATCH_CONFIDENCE 0.3f
#define WORK_MEGAPIX 0.6
typedef TestBaseWithParam<string> stitch;
#if defined(HAVE_OPENCV_XFEATURES2D) && defined(OPENCV_ENABLE_NONFREE)
#define TEST_DETECTORS testing::Values("surf", "orb", "akaze")
#else
#define TEST_DETECTORS testing::Values("orb", "akaze")
#endif
OCL_PERF_TEST_P(stitch, a123, TEST_DETECTORS)
{
UMat pano;
vector<Mat> _imgs;
_imgs.push_back( imread( getDataPath("stitching/a1.png") ) );
_imgs.push_back( imread( getDataPath("stitching/a2.png") ) );
_imgs.push_back( imread( getDataPath("stitching/a3.png") ) );
vector<UMat> imgs = ToUMat(_imgs);
Ptr<Feature2D> featuresFinder = getFeatureFinder(GetParam());
Ptr<detail::FeaturesMatcher> featuresMatcher = GetParam() == "orb"
? makePtr<detail::BestOf2NearestMatcher>(false, ORB_MATCH_CONFIDENCE)
: makePtr<detail::BestOf2NearestMatcher>(false, SURF_MATCH_CONFIDENCE);
declare.iterations(20);
while(next())
{
Ptr<Stitcher> stitcher = Stitcher::create();
stitcher->setFeaturesFinder(featuresFinder);
stitcher->setFeaturesMatcher(featuresMatcher);
stitcher->setWarper(makePtr<SphericalWarper>());
stitcher->setRegistrationResol(WORK_MEGAPIX);
startTimer();
stitcher->stitch(imgs, pano);
stopTimer();
}
EXPECT_NEAR(pano.size().width, 1182, 50);
EXPECT_NEAR(pano.size().height, 682, 30);
SANITY_CHECK_NOTHING();
}
OCL_PERF_TEST_P(stitch, b12, TEST_DETECTORS)
{
UMat pano;
vector<Mat> imgs;
imgs.push_back( imread( getDataPath("stitching/b1.png") ) );
imgs.push_back( imread( getDataPath("stitching/b2.png") ) );
Ptr<Feature2D> featuresFinder = getFeatureFinder(GetParam());
Ptr<detail::FeaturesMatcher> featuresMatcher = GetParam() == "orb"
? makePtr<detail::BestOf2NearestMatcher>(false, ORB_MATCH_CONFIDENCE)
: makePtr<detail::BestOf2NearestMatcher>(false, SURF_MATCH_CONFIDENCE);
declare.iterations(20);
while(next())
{
Ptr<Stitcher> stitcher = Stitcher::create();
stitcher->setFeaturesFinder(featuresFinder);
stitcher->setFeaturesMatcher(featuresMatcher);
stitcher->setWarper(makePtr<SphericalWarper>());
stitcher->setRegistrationResol(WORK_MEGAPIX);
startTimer();
stitcher->stitch(imgs, pano);
stopTimer();
}
EXPECT_NEAR(pano.size().width, 1124, GetParam() == "surf" ? 100 : 50);
EXPECT_NEAR(pano.size().height, 644, GetParam() == "surf" ? 60 : 30);
SANITY_CHECK_NOTHING();
}
OCL_PERF_TEST_P(stitch, boat, TEST_DETECTORS)
{
Size expected_dst_size(10789, 2663);
checkDeviceMaxMemoryAllocSize(expected_dst_size, CV_16SC3, 4);
#if defined(_WIN32) && !defined(_WIN64)
if (cv::ocl::useOpenCL())
throw ::perf::TestBase::PerfSkipTestException();
#endif
UMat pano;
vector<Mat> _imgs;
_imgs.push_back( imread( getDataPath("stitching/boat1.jpg") ) );
_imgs.push_back( imread( getDataPath("stitching/boat2.jpg") ) );
_imgs.push_back( imread( getDataPath("stitching/boat3.jpg") ) );
_imgs.push_back( imread( getDataPath("stitching/boat4.jpg") ) );
_imgs.push_back( imread( getDataPath("stitching/boat5.jpg") ) );
_imgs.push_back( imread( getDataPath("stitching/boat6.jpg") ) );
vector<UMat> imgs = ToUMat(_imgs);
Ptr<Feature2D> featuresFinder = getFeatureFinder(GetParam());
Ptr<detail::FeaturesMatcher> featuresMatcher = GetParam() == "orb"
? makePtr<detail::BestOf2NearestMatcher>(false, ORB_MATCH_CONFIDENCE)
: makePtr<detail::BestOf2NearestMatcher>(false, SURF_MATCH_CONFIDENCE);
declare.iterations(20);
while(next())
{
Ptr<Stitcher> stitcher = Stitcher::create();
stitcher->setFeaturesFinder(featuresFinder);
stitcher->setFeaturesMatcher(featuresMatcher);
stitcher->setWarper(makePtr<SphericalWarper>());
stitcher->setRegistrationResol(WORK_MEGAPIX);
startTimer();
stitcher->stitch(imgs, pano);
stopTimer();
}
EXPECT_NEAR(pano.size().width, expected_dst_size.width, 200);
EXPECT_NEAR(pano.size().height, expected_dst_size.height, 100);
SANITY_CHECK_NOTHING();
}
} } // namespace opencv_test::ocl
#endif // HAVE_OPENCL
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