readnumber.ReadNumber.java Source code

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Here is the source code for readnumber.ReadNumber.java

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/*
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 * To change this template file, choose Tools | Templates
 * and open the template in the editor.
 */
package readnumber;

/**
 *
 * @author GuruCoder
 */
import java.awt.Font;
import java.awt.Image;
import java.awt.event.ActionEvent;
import javax.swing.ImageIcon;
import javax.swing.JButton;
import javax.swing.JFrame;
import javax.swing.JLabel;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
import org.opencv.videoio.Videoio;
import org.opencv.videoio.VideoCapture;

public class ReadNumber {

    static {
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    }

    private JFrame frame;
    private JLabel imageLabel;
    private JLabel message;
    private JLabel caunttext;
    private JLabel inform;
    private JLabel textVideo;
    private JLabel textImage;
    private JButton Buttonl;
    private JButton Button2;
    private JLabel imageView;
    Mat newImage;
    Mat imagefase;
    Mat webcamMatImage;
    ImageProcessor imageProcessor;
    CascadeClassifier faceDetector;
    String CascadeFile = "data/haarcascade_frontalface_alt.xml";
    String filePath = "images/camera.jpg";

    /**
     * @param args the command line arguments
     */
    public static void main(String[] args) {
        // TODO code application logic here
        ReadNumber app = new ReadNumber();
        app.initGUI();
        app.runMainLoop(args);
    }

    /**
     * initGUI
     */
    private void initGUI() {
        frame = new JFrame("CauntPerson");
        frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
        frame.setSize(666, 400);
        Font f = new Font("Arial", Font.BOLD, 14); //  
        frame.setFont(f);
        newImage = Imgcodecs.imread(filePath);
        imageView = new JLabel();
        frame.add(imageView);

        Buttonl = new JButton("Faces analysis");
        Buttonl.setFont(f);
        frame.add(Buttonl);
        Button2 = new JButton("Read number");
        frame.add(Button2);
        initListeners();

        message = new JLabel();
        message.setFont(f);
        frame.add(message);
        inform = new JLabel();
        inform.setFont(f);
        frame.add(inform);
        caunttext = new JLabel();
        caunttext.setFont(f);
        frame.add(caunttext);
        textVideo = new JLabel("Video");
        textVideo.setFont(f);
        frame.add(textVideo);
        textImage = new JLabel("Image");
        textImage.setFont(f);
        frame.add(textImage);

        imageLabel = new JLabel();
        frame.add(imageLabel);

        frame.setVisible(true);
    }

    private void initListeners() {
        // saveframe 
        Buttonl.addActionListener((ActionEvent e) -> {
            detectFaces();
        });
    }

    /**
     * 
     * @param args runMainLoop - VideoCapture
     */

    private void runMainLoop(String[] args) {
        imageProcessor = new ImageProcessor();
        webcamMatImage = new Mat();
        Image tempImage;
        VideoCapture capture = new VideoCapture(0);
        capture.set(Videoio.CAP_PROP_FRAME_WIDTH, 320);
        capture.set(Videoio.CAP_PROP_FRAME_HEIGHT, 240);

        // Create a face detector from the cascade file                
        faceDetector = new CascadeClassifier(CascadeFile);

        if (capture.isOpened()) {
            while (true) {
                capture.read(webcamMatImage);
                if (!webcamMatImage.empty()) {
                    // Output video to form (JLabel)
                    //imageLabel.setBounds(0, 61, 320, 240);
                    tempImage = imageProcessor.toBufferedImage(webcamMatImage);
                    ImageIcon imageIcon = new ImageIcon(tempImage, "Captured video");
                    imageLabel.setIcon(imageIcon);
                    Buttonl.setBounds(10, 0, 140, 30);
                    //Button2.setBounds(140, 0, 120, 30);
                    message.setBounds(10, 30, 200, 30);
                    inform.setBounds(10, 315, 200, 30);
                    caunttext.setBounds(100, 315, 200, 30);
                    textVideo.setBounds(10, 295, 120, 30);

                    //frame.pack();  //this will resize the window to fit the image
                } else {
                    System.out.println(" -- Frame not captured -- Break!");
                    break;
                }
            }
        } else {
            System.out.println("Couldn't open capture.");
        }

    }

    /**
     * detectFaces
     */
    private void detectFaces() {
        // Save video to image           
        Imgcodecs.imwrite(filePath, webcamMatImage);

        // Detect faces in the image
        imagefase = Imgcodecs.imread(filePath);
        MatOfRect faceDetections = new MatOfRect();
        faceDetector.detectMultiScale(imagefase, faceDetections);

        inform.setText("Information:");
        String cauntfase = "total face: " + faceDetections.toArray().length;
        caunttext.setText(cauntfase);

        // Draw a bounding box around each face
        for (Rect rect : faceDetections.toArray()) {
            Imgproc.rectangle(imagefase, new Point(rect.x, rect.y),
                    new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
        }

        // Save video to image
        Imgcodecs.imwrite(filePath, imagefase);
        message.setText("Detect faces ...");

        // Output image to form (JLabel)
        imageView.setBounds(330, 61, 320, 240);
        newImage = Imgcodecs.imread(filePath);
        Image loadedImage = imageProcessor.toBufferedImage(newImage);
        ImageIcon imgIcon = new ImageIcon(loadedImage, "img");
        imageView.setIcon(imgIcon);
        textImage.setBounds(340, 295, 120, 30);
    }

    private Image toBufferedImage(Mat newImage) {
        throw new UnsupportedOperationException("Not supported yet."); //To change body of generated methods, choose Tools | Templates.
    }
}