Java Haar Cascade car detection

java_gui_haar_cascade_car_detection.java

package Opencv;

import static org.opencv.imgcodecs.Imgcodecs.imwrite;

import java.awt.image.BufferedImage;
import java.io.ByteArrayInputStream;
import java.io.File;
import java.io.IOException;
import java.io.InputStream;

import javax.imageio.ImageIO;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfByte;
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.VideoCapture;

public class Snippet {
	 public static void main(String[] args) {
			System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
			
		    Mat frame = new Mat();
		    VideoCapture camera = new VideoCapture("C:\\Users\\User\\Desktop\\Road and Cars\\test.mp4");
		    JFrame jframe = new JFrame("Video");
		   
		    JLabel vidpanel = new JLabel();
		    jframe.setContentPane(vidpanel);
		    jframe.setSize(600, 600);
		    jframe.setUndecorated(true);
		    jframe.setVisible(true);
		    jframe.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);

		    while (true) {
		        if (camera.read(frame)) {
		        	frame=detectCars(frame);
		            ImageIcon image = new ImageIcon(Mat2bufferedImage(frame));
		            vidpanel.setIcon(image);
		            vidpanel.repaint();

		        }
		    }
		}
	 
	 private static BufferedImage Mat2bufferedImage(Mat image) {
			MatOfByte bytemat = new MatOfByte();
			Imgcodecs.imencode(".jpg", image, bytemat);
			byte[] bytes = bytemat.toArray();
			InputStream in = new ByteArrayInputStream(bytes);
			BufferedImage img = null;
			try {
				img = ImageIO.read(in);
			} catch (IOException e) {
				// TODO Auto-generated catch block
				e.printStackTrace();
			}
			return img;
		}
	 
	 public static Mat detectCars(Mat image){
         
	    	
 		CascadeClassifier cardetector = new CascadeClassifier("E:\\Haar Training\\Haar Training\\cascade2xml\\car1.xml");

         
         
         MatOfRect faceDetections = new MatOfRect();
         cardetector.detectMultiScale(image, faceDetections);

         System.out.println(String.format("Detected %s cars", faceDetections.toArray().length));

         for (Rect rect : faceDetections.toArray()) {
                 Imgproc.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
                         new Scalar(0, 255, 0));
         }

        /* String filename = "C:\\Users\\User\\Desktop\\Road and Cars\\Outputs\\";
         System.out.println(String.format("Writing %s", filename));*/
         return image;
 }
}