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/video/meanshift/CamshiftDemo.java

@@ -0,0 +1,75 @@
+import java.util.Arrays;
+import org.opencv.core.*;
+import org.opencv.highgui.HighGui;
+import org.opencv.imgproc.Imgproc;
+import org.opencv.video.Video;
+import org.opencv.videoio.VideoCapture;
+
+
+class Camshift {
+    public void run(String[] args) {
+        String filename = args[0];
+        VideoCapture capture = new VideoCapture(filename);
+        if (!capture.isOpened()) {
+            System.out.println("Unable to open file!");
+            System.exit(-1);
+        }
+
+        Mat frame = new Mat(), hsv_roi = new Mat(), mask = new Mat(), roi;
+
+        // take the first frame of the video
+        capture.read(frame);
+
+        //setup initial location of window
+        Rect track_window = new Rect(300, 200, 100, 50);
+
+        // set up the ROI for tracking
+        roi = new Mat(frame, track_window);
+        Imgproc.cvtColor(roi, hsv_roi, Imgproc.COLOR_BGR2HSV);
+        Core.inRange(hsv_roi, new Scalar(0, 60, 32), new Scalar(180, 255, 255), mask);
+
+        MatOfFloat range = new MatOfFloat(0, 256);
+        Mat roi_hist = new Mat();
+        MatOfInt histSize = new MatOfInt(180);
+        MatOfInt channels = new MatOfInt(0);
+        Imgproc.calcHist(Arrays.asList(hsv_roi), channels, mask, roi_hist, histSize, range);
+        Core.normalize(roi_hist, roi_hist, 0, 255, Core.NORM_MINMAX);
+
+        // Setup the termination criteria, either 10 iteration or move by atleast 1 pt
+        TermCriteria term_crit = new TermCriteria(TermCriteria.EPS | TermCriteria.COUNT, 10, 1);
+
+        while (true) {
+            Mat hsv = new Mat() , dst = new Mat();
+            capture.read(frame);
+            if (frame.empty()) {
+                break;
+            }
+            Imgproc.cvtColor(frame, hsv, Imgproc.COLOR_BGR2HSV);
+            Imgproc.calcBackProject(Arrays.asList(hsv), channels, roi_hist, dst, range, 1);
+
+            // apply camshift to get the new location
+            RotatedRect rot_rect = Video.CamShift(dst, track_window, term_crit);
+
+            // Draw it on image
+            Point[] points = new Point[4];
+            rot_rect.points(points);
+            for (int i = 0; i < 4 ;i++) {
+                Imgproc.line(frame, points[i], points[(i+1)%4], new Scalar(255, 0, 0),2);
+            }
+
+            HighGui.imshow("img2", frame);
+            int keyboard = HighGui.waitKey(30);
+            if (keyboard == 'q'|| keyboard == 27) {
+                break;
+            }
+        }
+        System.exit(0);
+    }
+}
+
+public class CamshiftDemo {
+    public static void main(String[] args) {
+        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
+        new Camshift().run(args);
+    }
+}

3rdparty/opencv-4.5.4/samples/java/tutorial_code/video/meanshift/MeanshiftDemo.java

@@ -0,0 +1,70 @@
+import java.util.Arrays;
+import org.opencv.core.*;
+import org.opencv.highgui.HighGui;
+import org.opencv.imgproc.Imgproc;
+import org.opencv.video.Video;
+import org.opencv.videoio.VideoCapture;
+
+
+class Meanshift {
+    public void run(String[] args) {
+        String filename = args[0];
+        VideoCapture capture = new VideoCapture(filename);
+        if (!capture.isOpened()) {
+            System.out.println("Unable to open file!");
+            System.exit(-1);
+        }
+        Mat frame = new Mat(), hsv_roi = new Mat(), mask = new Mat(), roi;
+
+        // take the first frame of the video
+        capture.read(frame);
+
+        //setup initial location of window
+        Rect track_window = new Rect(300, 200, 100, 50);
+
+        // setup initial location of window
+        roi = new Mat(frame, track_window);
+        Imgproc.cvtColor(roi, hsv_roi, Imgproc.COLOR_BGR2HSV);
+        Core.inRange(hsv_roi, new Scalar(0, 60, 32), new Scalar(180, 255, 255), mask);
+
+        MatOfFloat range = new MatOfFloat(0, 256);
+        Mat roi_hist = new Mat();
+        MatOfInt histSize = new MatOfInt(180);
+        MatOfInt channels = new MatOfInt(0);
+        Imgproc.calcHist(Arrays.asList(hsv_roi), channels, mask, roi_hist, histSize, range);
+        Core.normalize(roi_hist, roi_hist, 0, 255, Core.NORM_MINMAX);
+
+        // Setup the termination criteria, either 10 iteration or move by atleast 1 pt
+        TermCriteria term_crit = new TermCriteria(TermCriteria.EPS | TermCriteria.COUNT, 10, 1);
+
+        while (true) {
+            Mat hsv = new Mat() , dst = new Mat();
+            capture.read(frame);
+            if (frame.empty()) {
+                break;
+            }
+            Imgproc.cvtColor(frame, hsv, Imgproc.COLOR_BGR2HSV);
+            Imgproc.calcBackProject(Arrays.asList(hsv), channels, roi_hist, dst, range, 1);
+
+            // apply meanshift to get the new location
+            Video.meanShift(dst, track_window, term_crit);
+
+            // Draw it on image
+            Imgproc.rectangle(frame, track_window, new Scalar(255, 0, 0), 2);
+            HighGui.imshow("img2", frame);
+
+            int keyboard = HighGui.waitKey(30);
+            if (keyboard == 'q' || keyboard == 27) {
+                break;
+            }
+        }
+        System.exit(0);
+    }
+}
+
+public class MeanshiftDemo {
+    public static void main(String[] args) {
+        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
+        new Meanshift().run(args);
+    }
+}