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/imgproc/test/ocl/test_gftt.cpp

@@ -0,0 +1,149 @@
+///////////////////////////////////////////////////////////////////////////////////////
+//
+//  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, Institute Of Software Chinese Academy Of Science, all rights reserved.
+// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+//
+// 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 "../test_precomp.hpp"
+#include "opencv2/ts/ocl_test.hpp"
+
+#ifdef HAVE_OPENCL
+
+namespace opencv_test {
+namespace ocl {
+
+//////////////////////////// GoodFeaturesToTrack //////////////////////////
+
+
+PARAM_TEST_CASE(GoodFeaturesToTrack, double, bool)
+{
+    double minDistance;
+    bool useRoi;
+
+    static const int maxCorners;
+    static const double qualityLevel;
+
+    TEST_DECLARE_INPUT_PARAMETER(src);
+    UMat points, upoints;
+    std::vector<float> quality, uquality;
+
+    virtual void SetUp()
+    {
+        minDistance = GET_PARAM(0);
+        useRoi = GET_PARAM(1);
+    }
+
+    void generateTestData()
+    {
+        Mat frame = readImage("../gpu/opticalflow/rubberwhale1.png", IMREAD_GRAYSCALE);
+        ASSERT_FALSE(frame.empty()) << "could not load gpu/opticalflow/rubberwhale1.png";
+
+        Size roiSize = frame.size();
+        Border srcBorder = randomBorder(0, useRoi ? 2 : 0);
+        randomSubMat(src, src_roi, roiSize, srcBorder, frame.type(), 5, 256);
+        src_roi.copyTo(frame);
+
+        UMAT_UPLOAD_INPUT_PARAMETER(src);
+    }
+
+    void UMatToVector(const UMat & um, std::vector<Point2f> & v) const
+    {
+        v.resize(um.size().area());
+        um.copyTo(Mat(um.size(), CV_32FC2, &v[0]));
+    }
+};
+
+const int GoodFeaturesToTrack::maxCorners = 1000;
+const double GoodFeaturesToTrack::qualityLevel = 0.01;
+
+OCL_TEST_P(GoodFeaturesToTrack, Accuracy)
+{
+    for (int j = 0; j < test_loop_times; ++j)
+    {
+        generateTestData();
+
+        std::vector<Point2f> upts, pts;
+
+        OCL_OFF(cv::goodFeaturesToTrack(src_roi, points, maxCorners, qualityLevel, minDistance, noArray(), quality));
+        ASSERT_FALSE(points.empty());
+        UMatToVector(points, pts);
+
+        OCL_ON(cv::goodFeaturesToTrack(usrc_roi, upoints, maxCorners, qualityLevel, minDistance, noArray(), uquality));
+        ASSERT_FALSE(upoints.empty());
+        UMatToVector(upoints, upts);
+
+        ASSERT_EQ(pts.size(), quality.size());
+        ASSERT_EQ(upts.size(), uquality.size());
+        ASSERT_EQ(upts.size(), pts.size());
+
+        int mistmatch = 0;
+        for (size_t i = 0; i < pts.size(); ++i)
+        {
+            Point2i a = upts[i], b = pts[i];
+
+            bool eq = std::abs(a.x - b.x) < 1 && std::abs(a.y - b.y) < 1 &&
+                    std::abs(quality[i] - uquality[i]) <= 3.f * FLT_EPSILON * std::max(quality[i], uquality[i]);
+
+            if (!eq)
+                ++mistmatch;
+        }
+
+        double bad_ratio = static_cast<double>(mistmatch) / pts.size();
+        ASSERT_GE(1e-2, bad_ratio);
+    }
+}
+
+OCL_TEST_P(GoodFeaturesToTrack, EmptyCorners)
+{
+    generateTestData();
+    usrc_roi.setTo(Scalar::all(0));
+
+    OCL_ON(cv::goodFeaturesToTrack(usrc_roi, upoints, maxCorners, qualityLevel, minDistance, noArray(), uquality));
+
+    ASSERT_TRUE(upoints.empty());
+    ASSERT_TRUE(uquality.empty());
+}
+
+OCL_INSTANTIATE_TEST_CASE_P(Imgproc, GoodFeaturesToTrack,
+                            ::testing::Combine(testing::Values(0.0, 3.0), Bool()));
+
+} } // namespace opencv_test::ocl
+
+#endif