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/java/tutorial_code/ImgTrans/HoughLine/HoughLines.java

@@ -0,0 +1,96 @@
+/**
+ * @file HoughLines.java
+ * @brief This program demonstrates line finding with the Hough transform
+ */
+
+import org.opencv.core.*;
+import org.opencv.core.Point;
+import org.opencv.highgui.HighGui;
+import org.opencv.imgcodecs.Imgcodecs;
+import org.opencv.imgproc.Imgproc;
+
+class HoughLinesRun {
+
+    public void run(String[] args) {
+        // Declare the output variables
+        Mat dst = new Mat(), cdst = new Mat(), cdstP;
+
+        //! [load]
+        String default_file = "../../../../data/sudoku.png";
+        String filename = ((args.length > 0) ? args[0] : default_file);
+
+        // Load an image
+        Mat src = Imgcodecs.imread(filename, Imgcodecs.IMREAD_GRAYSCALE);
+
+        // Check if image is loaded fine
+        if( src.empty() ) {
+            System.out.println("Error opening image!");
+            System.out.println("Program Arguments: [image_name -- default "
+                    + default_file +"] \n");
+            System.exit(-1);
+        }
+        //! [load]
+
+        //! [edge_detection]
+        // Edge detection
+        Imgproc.Canny(src, dst, 50, 200, 3, false);
+        //! [edge_detection]
+
+        // Copy edges to the images that will display the results in BGR
+        Imgproc.cvtColor(dst, cdst, Imgproc.COLOR_GRAY2BGR);
+        cdstP = cdst.clone();
+
+        //! [hough_lines]
+        // Standard Hough Line Transform
+        Mat lines = new Mat(); // will hold the results of the detection
+        Imgproc.HoughLines(dst, lines, 1, Math.PI/180, 150); // runs the actual detection
+        //! [hough_lines]
+        //! [draw_lines]
+        // Draw the lines
+        for (int x = 0; x < lines.rows(); x++) {
+            double rho = lines.get(x, 0)[0],
+                    theta = lines.get(x, 0)[1];
+
+            double a = Math.cos(theta), b = Math.sin(theta);
+            double x0 = a*rho, y0 = b*rho;
+            Point pt1 = new Point(Math.round(x0 + 1000*(-b)), Math.round(y0 + 1000*(a)));
+            Point pt2 = new Point(Math.round(x0 - 1000*(-b)), Math.round(y0 - 1000*(a)));
+            Imgproc.line(cdst, pt1, pt2, new Scalar(0, 0, 255), 3, Imgproc.LINE_AA, 0);
+        }
+        //! [draw_lines]
+
+        //! [hough_lines_p]
+        // Probabilistic Line Transform
+        Mat linesP = new Mat(); // will hold the results of the detection
+        Imgproc.HoughLinesP(dst, linesP, 1, Math.PI/180, 50, 50, 10); // runs the actual detection
+        //! [hough_lines_p]
+        //! [draw_lines_p]
+        // Draw the lines
+        for (int x = 0; x < linesP.rows(); x++) {
+            double[] l = linesP.get(x, 0);
+            Imgproc.line(cdstP, new Point(l[0], l[1]), new Point(l[2], l[3]), new Scalar(0, 0, 255), 3, Imgproc.LINE_AA, 0);
+        }
+        //! [draw_lines_p]
+
+        //! [imshow]
+        // Show results
+        HighGui.imshow("Source", src);
+        HighGui.imshow("Detected Lines (in red) - Standard Hough Line Transform", cdst);
+        HighGui.imshow("Detected Lines (in red) - Probabilistic Line Transform", cdstP);
+        //! [imshow]
+
+        //! [exit]
+        // Wait and Exit
+        HighGui.waitKey();
+        System.exit(0);
+        //! [exit]
+    }
+}
+
+public class HoughLines {
+    public static void main(String[] args) {
+        // Load the native library.
+        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
+        new HoughLinesRun().run(args);
+    }
+}