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/samples/cpp/tutorial_code/objectDetection/objectDetection.cpp

@@ -0,0 +1,107 @@
+#include "opencv2/objdetect.hpp"
+#include "opencv2/highgui.hpp"
+#include "opencv2/imgproc.hpp"
+#include "opencv2/videoio.hpp"
+#include <iostream>
+
+using namespace std;
+using namespace cv;
+
+/** Function Headers */
+void detectAndDisplay( Mat frame );
+
+/** Global variables */
+CascadeClassifier face_cascade;
+CascadeClassifier eyes_cascade;
+
+/** @function main */
+int main( int argc, const char** argv )
+{
+    CommandLineParser parser(argc, argv,
+                             "{help h||}"
+                             "{face_cascade|data/haarcascades/haarcascade_frontalface_alt.xml|Path to face cascade.}"
+                             "{eyes_cascade|data/haarcascades/haarcascade_eye_tree_eyeglasses.xml|Path to eyes cascade.}"
+                             "{camera|0|Camera device number.}");
+
+    parser.about( "\nThis program demonstrates using the cv::CascadeClassifier class to detect objects (Face + eyes) in a video stream.\n"
+                  "You can use Haar or LBP features.\n\n" );
+    parser.printMessage();
+
+    String face_cascade_name = samples::findFile( parser.get<String>("face_cascade") );
+    String eyes_cascade_name = samples::findFile( parser.get<String>("eyes_cascade") );
+
+    //-- 1. Load the cascades
+    if( !face_cascade.load( face_cascade_name ) )
+    {
+        cout << "--(!)Error loading face cascade\n";
+        return -1;
+    };
+    if( !eyes_cascade.load( eyes_cascade_name ) )
+    {
+        cout << "--(!)Error loading eyes cascade\n";
+        return -1;
+    };
+
+    int camera_device = parser.get<int>("camera");
+    VideoCapture capture;
+    //-- 2. Read the video stream
+    capture.open( camera_device );
+    if ( ! capture.isOpened() )
+    {
+        cout << "--(!)Error opening video capture\n";
+        return -1;
+    }
+
+    Mat frame;
+    while ( capture.read(frame) )
+    {
+        if( frame.empty() )
+        {
+            cout << "--(!) No captured frame -- Break!\n";
+            break;
+        }
+
+        //-- 3. Apply the classifier to the frame
+        detectAndDisplay( frame );
+
+        if( waitKey(10) == 27 )
+        {
+            break; // escape
+        }
+    }
+    return 0;
+}
+
+/** @function detectAndDisplay */
+void detectAndDisplay( Mat frame )
+{
+    Mat frame_gray;
+    cvtColor( frame, frame_gray, COLOR_BGR2GRAY );
+    equalizeHist( frame_gray, frame_gray );
+
+    //-- Detect faces
+    std::vector<Rect> faces;
+    face_cascade.detectMultiScale( frame_gray, faces );
+
+    for ( size_t i = 0; i < faces.size(); i++ )
+    {
+        Point center( faces[i].x + faces[i].width/2, faces[i].y + faces[i].height/2 );
+        ellipse( frame, center, Size( faces[i].width/2, faces[i].height/2 ), 0, 0, 360, Scalar( 255, 0, 255 ), 4 );
+
+        Mat faceROI = frame_gray( faces[i] );
+
+        //-- In each face, detect eyes
+        std::vector<Rect> eyes;
+        eyes_cascade.detectMultiScale( faceROI, eyes );
+
+        for ( size_t j = 0; j < eyes.size(); j++ )
+        {
+            Point eye_center( faces[i].x + eyes[j].x + eyes[j].width/2, faces[i].y + eyes[j].y + eyes[j].height/2 );
+            int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
+            circle( frame, eye_center, radius, Scalar( 255, 0, 0 ), 4 );
+        }
+    }
+
+    //-- Show what you got
+    imshow( "Capture - Face detection", frame );
+}