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/remap/RemapDemo.java

@@ -0,0 +1,98 @@
+import org.opencv.core.Core;
+import org.opencv.core.CvType;
+import org.opencv.core.Mat;
+import org.opencv.highgui.HighGui;
+import org.opencv.imgcodecs.Imgcodecs;
+import org.opencv.imgproc.Imgproc;
+
+class Remap {
+    private Mat mapX = new Mat();
+    private Mat mapY = new Mat();
+    private Mat dst = new Mat();
+    private int ind = 0;
+
+    //! [Update]
+    private void updateMap() {
+        float buffX[] = new float[(int) (mapX.total() * mapX.channels())];
+        mapX.get(0, 0, buffX);
+
+        float buffY[] = new float[(int) (mapY.total() * mapY.channels())];
+        mapY.get(0, 0, buffY);
+
+        for (int i = 0; i < mapX.rows(); i++) {
+            for (int j = 0; j < mapX.cols(); j++) {
+                switch (ind) {
+                case 0:
+                    if( j > mapX.cols()*0.25 && j < mapX.cols()*0.75 && i > mapX.rows()*0.25 && i < mapX.rows()*0.75 ) {
+                        buffX[i*mapX.cols() + j] = 2*( j - mapX.cols()*0.25f ) + 0.5f;
+                        buffY[i*mapY.cols() + j] = 2*( i - mapX.rows()*0.25f ) + 0.5f;
+                    } else {
+                        buffX[i*mapX.cols() + j] = 0;
+                        buffY[i*mapY.cols() + j] = 0;
+                    }
+                    break;
+                case 1:
+                    buffX[i*mapX.cols() + j] = j;
+                    buffY[i*mapY.cols() + j] = mapY.rows() - i;
+                    break;
+                case 2:
+                    buffX[i*mapX.cols() + j] = mapY.cols() - j;
+                    buffY[i*mapY.cols() + j] = i;
+                    break;
+                case 3:
+                    buffX[i*mapX.cols() + j] = mapY.cols() - j;
+                    buffY[i*mapY.cols() + j] = mapY.rows() - i;
+                    break;
+                default:
+                    break;
+                }
+            }
+        }
+        mapX.put(0, 0, buffX);
+        mapY.put(0, 0, buffY);
+        ind = (ind+1) % 4;
+    }
+    //! [Update]
+
+    public void run(String[] args) {
+        String filename = args.length > 0 ? args[0] : "../data/chicky_512.png";
+        //! [Load]
+        Mat src = Imgcodecs.imread(filename, Imgcodecs.IMREAD_COLOR);
+        if (src.empty()) {
+            System.err.println("Cannot read image: " + filename);
+            System.exit(0);
+        }
+        //! [Load]
+
+        //! [Create]
+        mapX = new Mat(src.size(), CvType.CV_32F);
+        mapY = new Mat(src.size(), CvType.CV_32F);
+        //! [Create]
+
+        //! [Window]
+        final String winname = "Remap demo";
+        HighGui.namedWindow(winname, HighGui.WINDOW_AUTOSIZE);
+        //! [Window]
+
+        //! [Loop]
+        for (;;) {
+            updateMap();
+            Imgproc.remap(src, dst, mapX, mapY, Imgproc.INTER_LINEAR);
+            HighGui.imshow(winname, dst);
+            if (HighGui.waitKey(1000) == 27) {
+                break;
+            }
+        }
+        //! [Loop]
+        System.exit(0);
+    }
+}
+
+public class RemapDemo {
+    public static void main(String[] args) {
+        // Load the native OpenCV library
+        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
+
+        new Remap().run(args);
+    }
+}