OpenCV_FaceEyeNoseDetectorQuicklyByWebCam.java
import org.opencv.core.*;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
import org.opencv.videoio.VideoCapture;
import javax.swing.*;
public class OpenCV_FaceEyeNoseDetectorQuicklyByWebCam {
static {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
}
public static void main(String arg[]) {
VideoCapture capture = new VideoCapture();
capture.open(0);
JFrame frame1 = new JFrame("show image");
frame1.setTitle("Humain 臉+Paupières+Mesure du nez de l'enfant");
frame1.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame1.setSize(640, 480);
frame1.setBounds(0, 0, frame1.getWidth(), frame1.getHeight());
Panel panel1 = new Panel();
frame1.setContentPane(panel1);
frame1.setVisible(true);
if (!capture.isOpened()) {
System.out.println("Error");
} else {
Mat webcam_image = new Mat();
capture.read(webcam_image);
frame1.setSize(webcam_image.width() + 10,webcam_image.height() + 20);
CascadeClassifier faceDetector = new CascadeClassifier("D:\\projects\\Java\\opencv\\build\\etc\\haarcascades\\haarcascade_frontalface_alt.xml");
MatOfRect faceDetections = new MatOfRect();
CascadeClassifier eyeDetector = new CascadeClassifier("D:\\projects\\Java\\OpenCV_Samples\\resource\\haarcascades\\haarcascade_mcs_eyepair_big.xml");
CascadeClassifier noseDetector = new CascadeClassifier("D:\\projects\\Java\\OpenCV_Samples\\resource\\haarcascades\\haarcascade_mcs_nose.xml");
MatOfRect eyeDetection = new MatOfRect();
MatOfRect noseDetection = new MatOfRect();
while (true) {
capture.read(webcam_image);
if( !webcam_image.empty() ){
faceDetector.detectMultiScale(webcam_image, faceDetections);
for (Rect rect : faceDetections.toArray()) {
Imgproc.rectangle(webcam_image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
new Scalar(0, 255, 0),3);
//Oeil 臉 2/3 處 supérieur
int eyeStartX=rect.x+10;
int eyeStartY=rect.y;
int eyeEndX=rect.x+rect.width-10;
int eyeEndY=rect.y+rect.height*2/3;
//Nez enfant 1/4 處 vers le bas,Constriction de position
int noseStartX=rect.x+20;
int noseStartY=rect.y+rect.height*1/4;
//int noseStartY=rect.y+20;
int noseEndX=rect.x+rect.width-20;
int noseEndY=rect.height-10;
Rect eyeRect=new Rect(new Point(eyeStartX,eyeStartY),new Point(eyeEndX,eyeEndY));
//Imgproc.rectangle(webcam_image, new Point(eyeStartX,eyeStartY),new Point(eyeEndX,eyeEndY),new Scalar(0, 25, 30),1);
Rect noseRect=new Rect(new Point(noseStartX,noseStartY),new Point(noseEndX,noseEndY));
try {
Mat subWebcamForEye=webcam_image.submat( eyeRect);
eyeDetector.detectMultiScale(subWebcamForEye, eyeDetection);
Rect subRealEyeRect=eyeDetection.toArray()[0];
Imgproc.rectangle(subWebcamForEye, new Point(subRealEyeRect.x, subRealEyeRect.y), new Point(subRealEyeRect.x + subRealEyeRect.width,subRealEyeRect.y + subRealEyeRect.height),
new Scalar(255,0 , 0),2);
Mat subWebcamForNose=webcam_image.submat( noseRect);
noseDetector.detectMultiScale(subWebcamForNose, noseDetection);
Rect subRealNoseRect=noseDetection.toArray()[0];
Imgproc.rectangle(subWebcamForNose, new Point(subRealNoseRect.x, subRealNoseRect.y), new Point(subRealNoseRect.x + subRealNoseRect.width,subRealNoseRect.y + subRealNoseRect.height),
new Scalar(0, 0,255 ),2);
} catch (Exception e) {
System.out.println(e);
}
}
System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
panel1.setimagewithMat(webcam_image);
frame1.repaint();
}else{
capture.release();
break;
}
}
}
}
}
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