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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61
3rdparty/opencv-4.5.4/modules/objdetect/perf/opencl/perf_cascades.cpp
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3rdparty/opencv-4.5.4/modules/objdetect/perf/opencl/perf_cascades.cpp
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#include "../perf_precomp.hpp"
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#include <opencv2/imgproc.hpp>
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#include "opencv2/ts/ocl_perf.hpp"
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namespace opencv_test
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{
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using namespace perf;
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typedef tuple<std::string, std::string, int> Cascade_Image_MinSize_t;
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typedef perf::TestBaseWithParam<Cascade_Image_MinSize_t> Cascade_Image_MinSize;
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#ifdef HAVE_OPENCL
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OCL_PERF_TEST_P(Cascade_Image_MinSize, CascadeClassifier,
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testing::Combine(
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testing::Values( string("cv/cascadeandhog/cascades/haarcascade_frontalface_alt.xml"),
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string("cv/cascadeandhog/cascades/haarcascade_frontalface_alt2.xml"),
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string("cv/cascadeandhog/cascades/lbpcascade_frontalface.xml") ),
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testing::Values( string("cv/shared/lena.png"),
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string("cv/cascadeandhog/images/bttf301.png"),
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string("cv/cascadeandhog/images/class57.png") ),
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testing::Values(30, 64, 90) ) )
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{
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const string cascadePath = get<0>(GetParam());
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const string imagePath = get<1>(GetParam());
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int min_size = get<2>(GetParam());
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Size minSize(min_size, min_size);
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CascadeClassifier cc( getDataPath(cascadePath) );
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if (cc.empty())
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FAIL() << "Can't load cascade file: " << getDataPath(cascadePath);
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Mat img = imread(getDataPath(imagePath), IMREAD_GRAYSCALE);
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if (img.empty())
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FAIL() << "Can't load source image: " << getDataPath(imagePath);
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vector<Rect> faces;
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equalizeHist(img, img);
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declare.in(img).time(60);
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UMat uimg = img.getUMat(ACCESS_READ);
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while(next())
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{
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faces.clear();
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cvtest::ocl::perf::safeFinish();
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startTimer();
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cc.detectMultiScale(uimg, faces, 1.1, 3, 0, minSize);
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stopTimer();
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}
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sort(faces.begin(), faces.end(), comparators::RectLess());
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SANITY_CHECK(faces, min_size/5);
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}
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#endif //HAVE_OPENCL
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} // namespace
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3rdparty/opencv-4.5.4/modules/objdetect/perf/opencl/perf_hogdetect.cpp
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3rdparty/opencv-4.5.4/modules/objdetect/perf/opencl/perf_hogdetect.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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///////////// HOG////////////////////////
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struct RectLess
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{
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bool operator()(const cv::Rect& a,
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const cv::Rect& b) const
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{
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if (a.x != b.x)
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return a.x < b.x;
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else if (a.y != b.y)
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return a.y < b.y;
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else if (a.width != b.width)
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return a.width < b.width;
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else
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return a.height < b.height;
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}
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};
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OCL_PERF_TEST(HOGFixture, HOG)
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{
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UMat src;
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imread(getDataPath("gpu/hog/road.png"), cv::IMREAD_GRAYSCALE).copyTo(src);
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ASSERT_FALSE(src.empty());
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vector<cv::Rect> found_locations;
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declare.in(src);
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HOGDescriptor hog;
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hog.setSVMDetector(hog.getDefaultPeopleDetector());
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OCL_TEST_CYCLE() hog.detectMultiScale(src, found_locations);
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std::sort(found_locations.begin(), found_locations.end(), RectLess());
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SANITY_CHECK(found_locations, 3);
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}
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}
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}
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#endif
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