feat: 切换后端至PaddleOCR-NCNN，切换工程为CMake
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试 2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程 3.重整权利声明文件，重整代码工程，确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
This commit is contained in:
wangzhengyang
147
3rdparty/opencv-4.5.4/modules/stitching/perf/opencl/perf_stitch.cpp
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147
3rdparty/opencv-4.5.4/modules/stitching/perf/opencl/perf_stitch.cpp
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// 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<Feature2D> 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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Ptr<Stitcher> stitcher = Stitcher::create();
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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<Feature2D> 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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Ptr<Stitcher> stitcher = Stitcher::create();
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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<Feature2D> 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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Ptr<Stitcher> stitcher = Stitcher::create();
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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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162
3rdparty/opencv-4.5.4/modules/stitching/perf/opencl/perf_warpers.cpp
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3rdparty/opencv-4.5.4/modules/stitching/perf/opencl/perf_warpers.cpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the OpenCV Foundation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "../perf_precomp.hpp"
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#include "opencv2/stitching/warpers.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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namespace ocl {
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///////////////////////// Stitching Warpers ///////////////////////////
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enum
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{
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SphericalWarperType = 0,
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CylindricalWarperType = 1,
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PlaneWarperType = 2,
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AffineWarperType = 3,
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};
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class WarperBase
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{
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public:
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explicit WarperBase(int type, Size srcSize)
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{
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Ptr<WarperCreator> creator;
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if (type == SphericalWarperType)
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creator = makePtr<SphericalWarper>();
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else if (type == CylindricalWarperType)
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creator = makePtr<CylindricalWarper>();
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else if (type == PlaneWarperType)
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creator = makePtr<PlaneWarper>();
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else if (type == AffineWarperType)
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creator = makePtr<AffineWarper>();
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CV_Assert(!creator.empty());
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K = Mat::eye(3, 3, CV_32FC1);
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K.at<float>(0,0) = (float)srcSize.width;
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K.at<float>(0,2) = (float)srcSize.width/2;
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K.at<float>(1,1) = (float)srcSize.height;
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K.at<float>(1,2) = (float)srcSize.height/2;
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K.at<float>(2,2) = 1.0f;
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R = Mat::eye(3, 3, CV_32FC1);
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float scale = (float)srcSize.width;
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warper = creator->create(scale);
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}
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Rect buildMaps(Size src_size, OutputArray xmap, OutputArray ymap) const
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{
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return warper->buildMaps(src_size, K, R, xmap, ymap);
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}
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Point warp(InputArray src, int interp_mode, int border_mode, OutputArray dst) const
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{
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return warper->warp(src, K, R, interp_mode, border_mode, dst);
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}
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private:
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Ptr<detail::RotationWarper> warper;
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Mat K, R;
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};
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CV_ENUM(WarperType, SphericalWarperType, CylindricalWarperType, PlaneWarperType, AffineWarperType)
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typedef tuple<Size, WarperType> StitchingWarpersParams;
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typedef TestBaseWithParam<StitchingWarpersParams> StitchingWarpersFixture;
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static void prepareWarperSrc(InputOutputArray src, Size srcSize)
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{
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src.create(srcSize, CV_8UC1);
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src.setTo(Scalar::all(64));
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ellipse(src, Point(srcSize.width/2, srcSize.height/2), Size(srcSize.width/2, srcSize.height/2),
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360, 0, 360, Scalar::all(255), 2);
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ellipse(src, Point(srcSize.width/2, srcSize.height/2), Size(srcSize.width/3, srcSize.height/3),
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360, 0, 360, Scalar::all(128), 2);
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rectangle(src, Point(10, 10), Point(srcSize.width - 10, srcSize.height - 10), Scalar::all(128), 2);
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}
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OCL_PERF_TEST_P(StitchingWarpersFixture, StitchingWarpers_BuildMaps,
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::testing::Combine(OCL_TEST_SIZES, WarperType::all()))
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{
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const StitchingWarpersParams params = GetParam();
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const Size srcSize = get<0>(params);
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const WarperBase warper(get<1>(params), srcSize);
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UMat xmap, ymap;
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OCL_TEST_CYCLE() warper.buildMaps(srcSize, xmap, ymap);
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SANITY_CHECK(xmap, 1e-3);
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SANITY_CHECK(ymap, 1e-3);
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}
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OCL_PERF_TEST_P(StitchingWarpersFixture, StitchingWarpers_Warp,
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::testing::Combine(OCL_TEST_SIZES, WarperType::all()))
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{
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const StitchingWarpersParams params = GetParam();
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const Size srcSize = get<0>(params);
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const WarperBase warper(get<1>(params), srcSize);
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UMat src, dst;
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prepareWarperSrc(src, srcSize);
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declare.in(src, WARMUP_READ);
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OCL_TEST_CYCLE() warper.warp(src, INTER_LINEAR, BORDER_REPLICATE, dst);
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#if 0
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namedWindow("src", WINDOW_NORMAL);
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namedWindow("dst", WINDOW_NORMAL);
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imshow("src", src);
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imshow("dst", dst);
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std::cout << dst.size() << " " << dst.size().area() << std::endl;
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cv::waitKey();
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#endif
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SANITY_CHECK(dst, 1e-5);
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}
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} } // namespace opencv_test::ocl
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#endif // HAVE_OPENCL
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