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/ImgProc/Smoothing/Smoothing.cpp

@@ -0,0 +1,153 @@
+/**
+ * file Smoothing.cpp
+ * brief Sample code for simple filters
+ * author OpenCV team
+ */
+
+#include <iostream>
+#include "opencv2/imgproc.hpp"
+#include "opencv2/imgcodecs.hpp"
+#include "opencv2/highgui.hpp"
+
+using namespace std;
+using namespace cv;
+
+/// Global Variables
+int DELAY_CAPTION = 1500;
+int DELAY_BLUR = 100;
+int MAX_KERNEL_LENGTH = 31;
+
+Mat src; Mat dst;
+char window_name[] = "Smoothing Demo";
+
+/// Function headers
+int display_caption( const char* caption );
+int display_dst( int delay );
+
+
+/**
+ * function main
+ */
+int main( int argc, char ** argv )
+{
+    namedWindow( window_name, WINDOW_AUTOSIZE );
+
+    /// Load the source image
+    const char* filename = argc >=2 ? argv[1] : "lena.jpg";
+
+    src = imread( samples::findFile( filename ), IMREAD_COLOR );
+    if (src.empty())
+    {
+        printf(" Error opening image\n");
+        printf(" Usage:\n %s [image_name-- default lena.jpg] \n", argv[0]);
+        return EXIT_FAILURE;
+    }
+
+    if( display_caption( "Original Image" ) != 0 )
+    {
+        return 0;
+    }
+
+    dst = src.clone();
+    if( display_dst( DELAY_CAPTION ) != 0 )
+    {
+        return 0;
+    }
+
+    /// Applying Homogeneous blur
+    if( display_caption( "Homogeneous Blur" ) != 0 )
+    {
+        return 0;
+    }
+
+    //![blur]
+    for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
+    {
+        blur( src, dst, Size( i, i ), Point(-1,-1) );
+        if( display_dst( DELAY_BLUR ) != 0 )
+        {
+            return 0;
+        }
+    }
+    //![blur]
+
+    /// Applying Gaussian blur
+    if( display_caption( "Gaussian Blur" ) != 0 )
+    {
+        return 0;
+    }
+
+    //![gaussianblur]
+    for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
+    {
+        GaussianBlur( src, dst, Size( i, i ), 0, 0 );
+        if( display_dst( DELAY_BLUR ) != 0 )
+        {
+            return 0;
+        }
+    }
+    //![gaussianblur]
+
+    /// Applying Median blur
+    if( display_caption( "Median Blur" ) != 0 )
+    {
+        return 0;
+    }
+
+    //![medianblur]
+    for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
+    {
+        medianBlur ( src, dst, i );
+        if( display_dst( DELAY_BLUR ) != 0 )
+        {
+            return 0;
+        }
+    }
+    //![medianblur]
+
+    /// Applying Bilateral Filter
+    if( display_caption( "Bilateral Blur" ) != 0 )
+    {
+        return 0;
+    }
+
+    //![bilateralfilter]
+    for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
+    {
+        bilateralFilter ( src, dst, i, i*2, i/2 );
+        if( display_dst( DELAY_BLUR ) != 0 )
+        {
+            return 0;
+        }
+    }
+    //![bilateralfilter]
+
+    /// Done
+    display_caption( "Done!" );
+
+    return 0;
+}
+
+/**
+ * @function display_caption
+ */
+int display_caption( const char* caption )
+{
+    dst = Mat::zeros( src.size(), src.type() );
+    putText( dst, caption,
+             Point( src.cols/4, src.rows/2),
+             FONT_HERSHEY_COMPLEX, 1, Scalar(255, 255, 255) );
+
+    return display_dst(DELAY_CAPTION);
+}
+
+/**
+ * @function display_dst
+ */
+int display_dst( int delay )
+{
+    imshow( window_name, dst );
+    int c = waitKey ( delay );
+    if( c >= 0 ) { return -1; }
+    return 0;
+}