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
140
3rdparty/opencv-4.5.4/modules/objdetect/test/opencl/test_hogdetector.cpp
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3rdparty/opencv-4.5.4/modules/objdetect/test/opencl/test_hogdetector.cpp
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///////////////////////////////////////////////////////////////////////////////////////
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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, Institute Of Software Chinese Academy Of Science, all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Multicoreware, 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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// Niko Li, newlife20080214@gmail.com
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// Jia Haipeng, jiahaipeng95@gmail.com
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// Shengen Yan, yanshengen@gmail.com
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// Jiang Liyuan,jlyuan001.good@163.com
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// Rock Li, Rock.Li@amd.com
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// Zailong Wu, bullet@yeah.net
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// Yao Wang, bitwangyaoyao@gmail.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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// * 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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// * The name of the copyright holders may not be used to endorse or promote products
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//M*/
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#include "../test_precomp.hpp"
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#include "opencv2/ts/ocl_test.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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PARAM_TEST_CASE(HOG, Size, MatType)
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{
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Size winSize;
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int type;
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Mat img;
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UMat uimg;
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virtual void SetUp()
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{
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winSize = GET_PARAM(0);
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type = GET_PARAM(1);
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img = readImage("cascadeandhog/images/image_00000000_0.png", IMREAD_GRAYSCALE);
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ASSERT_FALSE(img.empty());
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img.copyTo(uimg);
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}
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};
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OCL_TEST_P(HOG, GetDescriptors)
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{
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HOGDescriptor hog;
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hog.gammaCorrection = true;
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hog.setSVMDetector(hog.getDefaultPeopleDetector());
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std::vector<float> cpu_descriptors;
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std::vector<float> gpu_descriptors;
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OCL_OFF(hog.compute(img, cpu_descriptors, hog.winSize));
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OCL_ON(hog.compute(uimg, gpu_descriptors, hog.winSize));
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Mat cpu_desc(cpu_descriptors), gpu_desc(gpu_descriptors);
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EXPECT_MAT_SIMILAR(cpu_desc, gpu_desc, 1e-1);
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}
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OCL_TEST_P(HOG, SVMDetector)
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{
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HOGDescriptor hog_first, hog_second;
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// empty -> empty
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hog_first.copyTo(hog_second);
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// first -> both
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hog_first.setSVMDetector(hog_first.getDefaultPeopleDetector());
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hog_first.copyTo(hog_second);
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// both -> both
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hog_first.copyTo(hog_second);
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// second -> empty
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hog_first.setSVMDetector(cv::noArray());
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hog_first.copyTo(hog_second);
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}
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OCL_TEST_P(HOG, Detect)
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{
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HOGDescriptor hog;
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hog.winSize = winSize;
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hog.gammaCorrection = true;
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if (winSize.width == 48 && winSize.height == 96)
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hog.setSVMDetector(hog.getDaimlerPeopleDetector());
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else
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hog.setSVMDetector(hog.getDefaultPeopleDetector());
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std::vector<Rect> cpu_found;
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std::vector<Rect> gpu_found;
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OCL_OFF(hog.detectMultiScale(img, cpu_found, 0, Size(8, 8), Size(0, 0), 1.05, 6));
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OCL_ON(hog.detectMultiScale(uimg, gpu_found, 0, Size(8, 8), Size(0, 0), 1.05, 6));
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EXPECT_LT(checkRectSimilarity(img.size(), cpu_found, gpu_found), 0.05);
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}
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INSTANTIATE_TEST_CASE_P(OCL_ObjDetect, HOG, testing::Combine(
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testing::Values(Size(64, 128), Size(48, 96)),
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testing::Values( MatType(CV_8UC1) ) ) );
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}} // namespace
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#endif
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