Desktop : OpenCV Rectangle Check Inside By ClipLine

<h5>Goal</h5>
Test OpenCV rectangle check inside by clip line.

```OpenCV_RectangleCheckInsideByClipLine.java
import org.opencv.core.*;
import org.opencv.core.Point;
import org.opencv.imgproc.Imgproc;

import javax.swing.*;
import java.awt.*;
import java.awt.image.BufferedImage;

public class OpenCV_RectangleCheckInsideByClipLine {

    static {System.loadLibrary(Core.NATIVE_LIBRARY_NAME);}
    private JFrame frmjavaSwing;

    /**
     *  Launch the application.
     */
    public static void main(String[] args){
        EventQueue.invokeLater(new Runnable() {
            @Override
            public void run() {
                try{
                    OpenCV_RectangleCheckInsideByClipLine window = new OpenCV_RectangleCheckInsideByClipLine();
                    window.frmjavaSwing.setVisible(true);
                }catch (Exception e){
                    e.printStackTrace();
                }
            }
        });
    }
    /**
     * Create the application.
     */
    public OpenCV_RectangleCheckInsideByClipLine() {
        initialize();
    }
    /**
     * Initialize the contents of the frame.
     */
    private void initialize() {
        // Mat source =  paint();
        //BufferedImage image=matToBufferedImage(source);

        frmjavaSwing = new JFrame();
        frmjavaSwing.setTitle("opencv 判斷A矩形是否有在B矩形內.");
        frmjavaSwing.setBounds(100, 100, 401, 378);
        frmjavaSwing.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
        frmjavaSwing.getContentPane().setLayout(null);

        final JLabel lblNewLabel = new JLabel("");
        lblNewLabel.setBounds(10, 64, 281, 270);
        //lblNewLabel.setIcon(new ImageIcon(image));


        BufferedImage image=matToBufferedImage(paint());
        lblNewLabel.setIcon(new ImageIcon(image));

        frmjavaSwing.getContentPane().add(lblNewLabel);
    }
    public Mat paint(){

        Mat source=new Mat(300,300, CvType.CV_8UC3,new Scalar(255,255,255));

        //B
        Imgproc.rectangle(source, new Point(100,100), new Point(200,200), new Scalar(255, 0, 0), -1);
        Rect B=new Rect(100, 100, 200, 200);

        //A1
        Imgproc.rectangle(source, new Point(50,50), new Point(250,250), new Scalar(0, 255, 0), 1);
        Rect A1=new Rect(50, 50, 250, 250);
        boolean bA1=Imgproc.clipLine(B, new Point(50,50), new Point(250,250));

        System.out.println("A1矩形是否在B矩形內="+bA1);


        //A2
        Imgproc.rectangle(source, new Point(120,120), new Point(180,180), new Scalar(0, 255, 0), 3);
        Rect A2=new Rect(120, 120, 180, 180);

        boolean bA2=Imgproc.clipLine(B, new Point(120,120), new Point(180,180));
        System.out.println("A2矩形是否在B矩形內="+bA2);


        //A3
        Imgproc.rectangle(source, new Point(20,20), new Point(80,80), new Scalar(0,0 ,255), 2);
        Rect A3=new Rect(20, 20, 80, 80);

        boolean bA3=Imgproc.clipLine(B, new Point(20,20), new Point(80,80));
        System.out.println("A3矩形是否在B矩形內="+bA3);

        //A4
        Imgproc.rectangle(source, new Point(190,190), new Point(240,240), new Scalar(0,255 ,255), 2);
        Rect A4=new Rect(240, 240, 280, 280);

        boolean bA4=Imgproc.clipLine(B,  new Point(190,190),new Point(240,240));
        System.out.println("A4矩形是否在B矩形內="+bA4);

        return source;
    }
    public BufferedImage matToBufferedImage(Mat matrix) {
        int cols = matrix.cols();
        int rows = matrix.rows();
        int elemSize = (int)matrix.elemSize();
        byte[] data = new byte[cols * rows * elemSize];
        int type;
        matrix.get(0, 0, data);
        switch (matrix.channels()) {
            case 1:
                type = BufferedImage.TYPE_BYTE_GRAY;
                break;
            case 3:
                type = BufferedImage.TYPE_3BYTE_BGR;
                // bgr to rgb
                byte b;
                for(int i=0; i<data.length; i=i+3) {
                    b = data[i];
                    data[i] = data[i+2];
                    data[i+2] = b;
                }
                break;
            default:
                return null;
        }
        BufferedImage image2 = new BufferedImage(cols, rows, type);
        image2.getRaster().setDataElements(0, 0, cols, rows, data);
        return image2;
    }


}
```
<h5>Result</h5>
![opencv_rectangle_check_Inside_by_clip_line.JPG](https://qiita-image-store.s3.ap-northeast-1.amazonaws.com/0/276243/b5bdaf43-e0a2-4bc2-ca60-9ed2a5885e76.jpeg)