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

3rdparty/opencv-4.5.4/modules/objdetect/perf/opencl/perf_cascades.cpp

@@ -0,0 +1,61 @@
+#include "../perf_precomp.hpp"
+#include <opencv2/imgproc.hpp>
+
+#include "opencv2/ts/ocl_perf.hpp"
+
+namespace opencv_test
+{
+using namespace perf;
+
+typedef tuple<std::string, std::string, int> Cascade_Image_MinSize_t;
+typedef perf::TestBaseWithParam<Cascade_Image_MinSize_t> Cascade_Image_MinSize;
+
+#ifdef HAVE_OPENCL
+
+OCL_PERF_TEST_P(Cascade_Image_MinSize, CascadeClassifier,
+                 testing::Combine(
+                    testing::Values( string("cv/cascadeandhog/cascades/haarcascade_frontalface_alt.xml"),
+                                     string("cv/cascadeandhog/cascades/haarcascade_frontalface_alt2.xml"),
+                                     string("cv/cascadeandhog/cascades/lbpcascade_frontalface.xml") ),
+                    testing::Values( string("cv/shared/lena.png"),
+                                     string("cv/cascadeandhog/images/bttf301.png"),
+                                     string("cv/cascadeandhog/images/class57.png") ),
+                    testing::Values(30, 64, 90) ) )
+{
+    const string cascadePath = get<0>(GetParam());
+    const string imagePath   = get<1>(GetParam());
+    int min_size = get<2>(GetParam());
+    Size minSize(min_size, min_size);
+
+    CascadeClassifier cc( getDataPath(cascadePath) );
+    if (cc.empty())
+        FAIL() << "Can't load cascade file: " << getDataPath(cascadePath);
+
+    Mat img = imread(getDataPath(imagePath), IMREAD_GRAYSCALE);
+    if (img.empty())
+        FAIL() << "Can't load source image: " << getDataPath(imagePath);
+
+    vector<Rect> faces;
+
+    equalizeHist(img, img);
+    declare.in(img).time(60);
+
+    UMat uimg = img.getUMat(ACCESS_READ);
+
+    while(next())
+    {
+        faces.clear();
+        cvtest::ocl::perf::safeFinish();
+
+        startTimer();
+        cc.detectMultiScale(uimg, faces, 1.1, 3, 0, minSize);
+        stopTimer();
+    }
+
+    sort(faces.begin(), faces.end(), comparators::RectLess());
+    SANITY_CHECK(faces, min_size/5);
+}
+
+#endif //HAVE_OPENCL
+
+} // namespace

3rdparty/opencv-4.5.4/modules/objdetect/perf/opencl/perf_hogdetect.cpp

@@ -0,0 +1,93 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
+// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// @Authors
+//    Fangfang Bai, fangfang@multicorewareinc.com
+//    Jin Ma,       jin@multicorewareinc.com
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors as is and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#include "../perf_precomp.hpp"
+#include "opencv2/ts/ocl_perf.hpp"
+
+#ifdef HAVE_OPENCL
+
+namespace opencv_test {
+namespace ocl {
+///////////// HOG////////////////////////
+
+struct RectLess
+{
+    bool operator()(const cv::Rect& a,
+        const cv::Rect& b) const
+    {
+        if (a.x != b.x)
+            return a.x < b.x;
+        else if (a.y != b.y)
+            return a.y < b.y;
+        else if (a.width != b.width)
+            return a.width < b.width;
+        else
+            return a.height < b.height;
+    }
+};
+
+OCL_PERF_TEST(HOGFixture, HOG)
+{
+    UMat src;
+    imread(getDataPath("gpu/hog/road.png"), cv::IMREAD_GRAYSCALE).copyTo(src);
+    ASSERT_FALSE(src.empty());
+
+    vector<cv::Rect> found_locations;
+    declare.in(src);
+
+    HOGDescriptor hog;
+    hog.setSVMDetector(hog.getDefaultPeopleDetector());
+
+    OCL_TEST_CYCLE() hog.detectMultiScale(src, found_locations);
+
+    std::sort(found_locations.begin(), found_locations.end(), RectLess());
+    SANITY_CHECK(found_locations, 3);
+}
+
+}
+}
+
+#endif

3rdparty/opencv-4.5.4/modules/objdetect/perf/perf_main.cpp

@@ -0,0 +1,7 @@
+#include "perf_precomp.hpp"
+
+#if defined(HAVE_HPX)
+    #include <hpx/hpx_main.hpp>
+#endif
+
+CV_PERF_TEST_MAIN(objdetect)

3rdparty/opencv-4.5.4/modules/objdetect/perf/perf_precomp.hpp

@@ -0,0 +1,7 @@
+#ifndef __OPENCV_PERF_PRECOMP_HPP__
+#define __OPENCV_PERF_PRECOMP_HPP__
+
+#include "opencv2/ts.hpp"
+#include "opencv2/objdetect.hpp"
+
+#endif

3rdparty/opencv-4.5.4/modules/objdetect/perf/perf_qrcode_pipeline.cpp

@@ -0,0 +1,193 @@
+// 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.
+
+#include "perf_precomp.hpp"
+
+namespace opencv_test
+{
+namespace
+{
+
+typedef ::perf::TestBaseWithParam< std::string > Perf_Objdetect_QRCode;
+
+PERF_TEST_P_(Perf_Objdetect_QRCode, detect)
+{
+    const std::string name_current_image = GetParam();
+    const std::string root = "cv/qrcode/";
+
+    std::string image_path = findDataFile(root + name_current_image);
+    Mat src = imread(image_path, IMREAD_GRAYSCALE), straight_barcode;
+    ASSERT_FALSE(src.empty()) << "Can't read image: " << image_path;
+
+    std::vector< Point > corners;
+    QRCodeDetector qrcode;
+    TEST_CYCLE() ASSERT_TRUE(qrcode.detect(src, corners));
+    SANITY_CHECK(corners);
+}
+
+#ifdef HAVE_QUIRC
+PERF_TEST_P_(Perf_Objdetect_QRCode, decode)
+{
+    const std::string name_current_image = GetParam();
+    const std::string root = "cv/qrcode/";
+
+    std::string image_path = findDataFile(root + name_current_image);
+    Mat src = imread(image_path, IMREAD_GRAYSCALE), straight_barcode;
+    ASSERT_FALSE(src.empty()) << "Can't read image: " << image_path;
+
+    std::vector< Point > corners;
+    std::string decoded_info;
+    QRCodeDetector qrcode;
+    ASSERT_TRUE(qrcode.detect(src, corners));
+    TEST_CYCLE()
+    {
+        decoded_info = qrcode.decode(src, corners, straight_barcode);
+        ASSERT_FALSE(decoded_info.empty());
+    }
+
+    std::vector<uint8_t> decoded_info_uint8_t(decoded_info.begin(), decoded_info.end());
+    SANITY_CHECK(decoded_info_uint8_t);
+    SANITY_CHECK(straight_barcode);
+
+}
+#endif
+
+typedef ::perf::TestBaseWithParam< std::string > Perf_Objdetect_QRCode_Multi;
+
+PERF_TEST_P_(Perf_Objdetect_QRCode_Multi, detectMulti)
+{
+    const std::string name_current_image = GetParam();
+    const std::string root = "cv/qrcode/multiple/";
+
+    std::string image_path = findDataFile(root + name_current_image);
+    Mat src = imread(image_path);
+    ASSERT_FALSE(src.empty()) << "Can't read image: " << image_path;
+    std::vector<Point2f> corners;
+    QRCodeDetector qrcode;
+    TEST_CYCLE() ASSERT_TRUE(qrcode.detectMulti(src, corners));
+    SANITY_CHECK(corners);
+}
+
+#ifdef HAVE_QUIRC
+PERF_TEST_P_(Perf_Objdetect_QRCode_Multi, decodeMulti)
+{
+    const std::string name_current_image = GetParam();
+    const std::string root = "cv/qrcode/multiple/";
+
+    std::string image_path = findDataFile(root + name_current_image);
+    Mat src = imread(image_path);
+    ASSERT_FALSE(src.empty()) << "Can't read image: " << image_path;
+    QRCodeDetector qrcode;
+    std::vector<Point2f> corners;
+    ASSERT_TRUE(qrcode.detectMulti(src, corners));
+    std::vector<Mat> straight_barcode;
+    std::vector< cv::String > decoded_info;
+    TEST_CYCLE()
+    {
+        ASSERT_TRUE(qrcode.decodeMulti(src, corners, decoded_info, straight_barcode));
+        for(size_t i = 0; i < decoded_info.size(); i++)
+        {
+            ASSERT_FALSE(decoded_info[i].empty());
+        }
+    }
+    std::vector < std::vector< uint8_t > > decoded_info_uint8_t;
+    for(size_t i = 0; i < decoded_info.size(); i++)
+    {
+        std::vector< uint8_t > tmp(decoded_info[i].begin(), decoded_info[i].end());
+        decoded_info_uint8_t.push_back(tmp);
+    }
+    SANITY_CHECK(decoded_info_uint8_t);
+    SANITY_CHECK(straight_barcode);
+
+}
+#endif
+
+INSTANTIATE_TEST_CASE_P(/*nothing*/, Perf_Objdetect_QRCode,
+    ::testing::Values(
+        "version_1_down.jpg", "version_1_left.jpg", "version_1_right.jpg", "version_1_up.jpg", "version_1_top.jpg",
+        "version_5_down.jpg", "version_5_left.jpg", "version_5_right.jpg", "version_5_up.jpg", "version_5_top.jpg",
+        "russian.jpg", "kanji.jpg", "link_github_ocv.jpg", "link_ocv.jpg", "link_wiki_cv.jpg"
+    )
+);
+
+INSTANTIATE_TEST_CASE_P(/*nothing*/, Perf_Objdetect_QRCode_Multi,
+    ::testing::Values(
+      "2_qrcodes.png", "3_close_qrcodes.png", "3_qrcodes.png", "4_qrcodes.png",
+      "5_qrcodes.png", "6_qrcodes.png", "7_qrcodes.png", "8_close_qrcodes.png"
+    )
+);
+
+typedef ::perf::TestBaseWithParam< tuple< std::string, Size > > Perf_Objdetect_Not_QRCode;
+
+PERF_TEST_P_(Perf_Objdetect_Not_QRCode, detect)
+{
+    std::vector<Point> corners;
+    std::string type_gen = get<0>(GetParam());
+    Size resolution = get<1>(GetParam());
+    Mat not_qr_code(resolution, CV_8UC1, Scalar(0));
+    if (type_gen == "random")
+    {
+        RNG rng;
+        rng.fill(not_qr_code, RNG::UNIFORM, Scalar(0), Scalar(1));
+    }
+    if (type_gen == "chessboard")
+    {
+        uint8_t next_pixel = 0;
+        for (int r = 0; r < not_qr_code.rows * not_qr_code.cols; r++)
+        {
+            int i = r / not_qr_code.cols;
+            int j = r % not_qr_code.cols;
+            not_qr_code.ptr<uchar>(i)[j] = next_pixel;
+            next_pixel = 255 - next_pixel;
+        }
+    }
+
+    QRCodeDetector qrcode;
+    TEST_CYCLE() ASSERT_FALSE(qrcode.detect(not_qr_code, corners));
+    SANITY_CHECK_NOTHING();
+}
+
+#ifdef HAVE_QUIRC
+PERF_TEST_P_(Perf_Objdetect_Not_QRCode, decode)
+{
+    Mat straight_barcode;
+    std::vector< Point > corners;
+    corners.push_back(Point( 0, 0)); corners.push_back(Point( 0,  5));
+    corners.push_back(Point(10, 0)); corners.push_back(Point(15, 15));
+
+    std::string type_gen = get<0>(GetParam());
+    Size resolution = get<1>(GetParam());
+    Mat not_qr_code(resolution, CV_8UC1, Scalar(0));
+    if (type_gen == "random")
+    {
+        RNG rng;
+        rng.fill(not_qr_code, RNG::UNIFORM, Scalar(0), Scalar(1));
+    }
+    if (type_gen == "chessboard")
+    {
+        uint8_t next_pixel = 0;
+        for (int r = 0; r < not_qr_code.rows * not_qr_code.cols; r++)
+        {
+            int i = r / not_qr_code.cols;
+            int j = r % not_qr_code.cols;
+            not_qr_code.ptr<uchar>(i)[j] = next_pixel;
+            next_pixel = 255 - next_pixel;
+        }
+    }
+
+    QRCodeDetector qrcode;
+    TEST_CYCLE() ASSERT_TRUE(qrcode.decode(not_qr_code, corners, straight_barcode).empty());
+    SANITY_CHECK_NOTHING();
+}
+#endif
+
+INSTANTIATE_TEST_CASE_P(/*nothing*/, Perf_Objdetect_Not_QRCode,
+      ::testing::Combine(
+            ::testing::Values("zero", "random", "chessboard"),
+            ::testing::Values(Size(640, 480),   Size(1280, 720),
+                              Size(1920, 1080), Size(3840, 2160))
+      ));
+
+}
+} // namespace