mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
144 lines
4.7 KiB
144 lines
4.7 KiB
// 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" |
|
|
|
using namespace cv; |
|
using namespace perf; |
|
using namespace cvtest::ocl; |
|
using namespace std; |
|
using namespace std::tr1; |
|
|
|
#define SURF_MATCH_CONFIDENCE 0.65f |
|
#define ORB_MATCH_CONFIDENCE 0.3f |
|
#define WORK_MEGAPIX 0.6 |
|
|
|
typedef TestBaseWithParam<string> stitch; |
|
|
|
#ifdef HAVE_OPENCV_NONFREE_TODO_FIND_WHY_SURF_IS_NOT_ABLE_TO_STITCH_PANOS |
|
#define TEST_DETECTORS testing::Values("surf", "orb") |
|
#else |
|
#define TEST_DETECTORS testing::Values<string>("orb") |
|
#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<detail::FeaturesFinder> featuresFinder = GetParam() == "orb" |
|
? Ptr<detail::FeaturesFinder>(new detail::OrbFeaturesFinder()) |
|
: Ptr<detail::FeaturesFinder>(new detail::SurfFeaturesFinder()); |
|
|
|
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()) |
|
{ |
|
Stitcher stitcher = Stitcher::createDefault(); |
|
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<detail::FeaturesFinder> featuresFinder = GetParam() == "orb" |
|
? Ptr<detail::FeaturesFinder>(new detail::OrbFeaturesFinder()) |
|
: Ptr<detail::FeaturesFinder>(new detail::SurfFeaturesFinder()); |
|
|
|
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()) |
|
{ |
|
Stitcher stitcher = Stitcher::createDefault(); |
|
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, 50); |
|
EXPECT_NEAR(pano.size().height, 644, 30); |
|
|
|
SANITY_CHECK_NOTHING(); |
|
} |
|
|
|
OCL_PERF_TEST_P(stitch, boat, TEST_DETECTORS) |
|
{ |
|
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<detail::FeaturesFinder> featuresFinder = GetParam() == "orb" |
|
? Ptr<detail::FeaturesFinder>(new detail::OrbFeaturesFinder()) |
|
: Ptr<detail::FeaturesFinder>(new detail::SurfFeaturesFinder()); |
|
|
|
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()) |
|
{ |
|
Stitcher stitcher = Stitcher::createDefault(); |
|
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, 10789, 200); |
|
EXPECT_NEAR(pano.size().height, 2663, 100); |
|
|
|
SANITY_CHECK_NOTHING(); |
|
}
|
|
|