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
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wangzhengyang
129
3rdparty/opencv-4.5.4/modules/features2d/perf/opencl/perf_brute_force_matcher.cpp
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3rdparty/opencv-4.5.4/modules/features2d/perf/opencl/perf_brute_force_matcher.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) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, 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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// @Authors
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// Fangfang Bai, fangfang@multicorewareinc.com
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// Jin Ma, jin@multicorewareinc.com
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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 Intel Corporation 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/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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//////////////////// BruteForceMatch /////////////////
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typedef Size_MatType BruteForceMatcherFixture;
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OCL_PERF_TEST_P(BruteForceMatcherFixture, Match, ::testing::Combine(OCL_PERF_ENUM(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3), OCL_PERF_ENUM((MatType)CV_32FC1) ) )
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params);
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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vector<DMatch> matches;
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UMat uquery(srcSize, type), utrain(srcSize, type);
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declare.in(uquery, utrain, WARMUP_RNG);
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BFMatcher matcher(NORM_L2);
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OCL_TEST_CYCLE()
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matcher.match(uquery, utrain, matches);
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SANITY_CHECK_MATCHES(matches, 1e-3);
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}
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OCL_PERF_TEST_P(BruteForceMatcherFixture, KnnMatch, ::testing::Combine(OCL_PERF_ENUM(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3), OCL_PERF_ENUM((MatType)CV_32FC1) ) )
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params);
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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vector< vector<DMatch> > matches;
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UMat uquery(srcSize, type), utrain(srcSize, type);
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declare.in(uquery, utrain, WARMUP_RNG);
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BFMatcher matcher(NORM_L2);
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OCL_TEST_CYCLE()
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matcher.knnMatch(uquery, utrain, matches, 2);
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vector<DMatch> & matches0 = matches[0], & matches1 = matches[1];
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SANITY_CHECK_MATCHES(matches0, 1e-3);
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SANITY_CHECK_MATCHES(matches1, 1e-3);
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}
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OCL_PERF_TEST_P(BruteForceMatcherFixture, RadiusMatch, ::testing::Combine(OCL_PERF_ENUM(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3), OCL_PERF_ENUM((MatType)CV_32FC1) ) )
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params);
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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vector< vector<DMatch> > matches;
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UMat uquery(srcSize, type), utrain(srcSize, type);
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declare.in(uquery, utrain, WARMUP_RNG);
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BFMatcher matcher(NORM_L2);
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OCL_TEST_CYCLE()
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matcher.radiusMatch(uquery, utrain, matches, 2.0f);
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vector<DMatch> & matches0 = matches[0], & matches1 = matches[1];
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SANITY_CHECK_MATCHES(matches0, 1e-3);
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SANITY_CHECK_MATCHES(matches1, 1e-3);
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}
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} // ocl
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} // cvtest
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#endif // HAVE_OPENCL
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81
3rdparty/opencv-4.5.4/modules/features2d/perf/opencl/perf_feature2d.cpp
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3rdparty/opencv-4.5.4/modules/features2d/perf/opencl/perf_feature2d.cpp
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#include "../perf_precomp.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
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#include "../perf_feature2d.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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OCL_PERF_TEST_P(feature2d, detect, testing::Combine(Feature2DType::all(), TEST_IMAGES))
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{
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Ptr<Feature2D> detector = getFeature2D(get<0>(GetParam()));
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std::string filename = getDataPath(get<1>(GetParam()));
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Mat mimg = imread(filename, IMREAD_GRAYSCALE);
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ASSERT_FALSE(mimg.empty());
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ASSERT_TRUE(detector);
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UMat img, mask;
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mimg.copyTo(img);
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declare.in(img);
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vector<KeyPoint> points;
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OCL_TEST_CYCLE() detector->detect(img, points, mask);
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EXPECT_GT(points.size(), 20u);
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SANITY_CHECK_NOTHING();
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}
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OCL_PERF_TEST_P(feature2d, extract, testing::Combine(testing::Values(DETECTORS_EXTRACTORS), TEST_IMAGES))
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{
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Ptr<Feature2D> detector = AKAZE::create();
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Ptr<Feature2D> extractor = getFeature2D(get<0>(GetParam()));
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std::string filename = getDataPath(get<1>(GetParam()));
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Mat mimg = imread(filename, IMREAD_GRAYSCALE);
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ASSERT_FALSE(mimg.empty());
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ASSERT_TRUE(extractor);
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UMat img, mask;
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mimg.copyTo(img);
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declare.in(img);
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vector<KeyPoint> points;
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detector->detect(img, points, mask);
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EXPECT_GT(points.size(), 20u);
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UMat descriptors;
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OCL_TEST_CYCLE() extractor->compute(img, points, descriptors);
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EXPECT_EQ((size_t)descriptors.rows, points.size());
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SANITY_CHECK_NOTHING();
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}
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OCL_PERF_TEST_P(feature2d, detectAndExtract, testing::Combine(testing::Values(DETECTORS_EXTRACTORS), TEST_IMAGES))
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{
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Ptr<Feature2D> detector = getFeature2D(get<0>(GetParam()));
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std::string filename = getDataPath(get<1>(GetParam()));
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Mat mimg = imread(filename, IMREAD_GRAYSCALE);
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ASSERT_FALSE(mimg.empty());
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ASSERT_TRUE(detector);
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UMat img, mask;
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mimg.copyTo(img);
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declare.in(img);
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vector<KeyPoint> points;
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UMat descriptors;
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OCL_TEST_CYCLE() detector->detectAndCompute(img, mask, points, descriptors, false);
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EXPECT_GT(points.size(), 20u);
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EXPECT_EQ((size_t)descriptors.rows, points.size());
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SANITY_CHECK_NOTHING();
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}
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} // ocl
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} // cvtest
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#endif // HAVE_OPENCL
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