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FaceDetector.java
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FaceDetector.java
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package org.genericsystem.cv;
import java.util.Arrays;
import java.util.concurrent.Executors;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;
import org.genericsystem.cv.utils.NativeLibraryLoader;
import org.genericsystem.cv.utils.Tools;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
import org.opencv.objdetect.Objdetect;
import org.opencv.videoio.VideoCapture;
import javafx.scene.image.ImageView;
import javafx.scene.layout.GridPane;
public class FaceDetector extends AbstractApp {
private static CascadeClassifier faceCascade;
static {
NativeLibraryLoader.load();
faceCascade = new CascadeClassifier();
faceCascade.load("resources/haarcascade_frontalface_alt2.xml");
}
// private final static String imgClassDirectory = "classes/id-fr-front";
private VideoCapture camera = new VideoCapture(0);
private ScheduledExecutorService timer = Executors.newSingleThreadScheduledExecutor();
public static void main(String[] args) {
launch(args);
}
@Override
protected void fillGrid(GridPane mainGrid) {
ImageView imgView = new ImageView();
mainGrid.add(imgView, 0, 0);
Mat frame = new Mat();
camera.read(frame);
imgView.setImage(Tools.mat2jfxImage(frame));
timer.scheduleAtFixedRate(() -> {
camera.read(frame);
Rect[] faces = detect(frame);
Arrays.stream(faces).forEach(face -> Imgproc.rectangle(frame, face.tl(), face.br(), new Scalar(0, 255, 0), 1));
imgView.setImage(Tools.mat2jfxImage(frame));
}, 0L, 33L, TimeUnit.MILLISECONDS);
}
public static Rect[] detect(Mat frame) {
Mat grayFrame = new Mat();
// convert the frame in gray scale
Imgproc.cvtColor(frame, grayFrame, Imgproc.COLOR_BGR2GRAY);
// equalize the frame histogram to improve the result
Imgproc.equalizeHist(grayFrame, grayFrame);
MatOfRect faces = new MatOfRect();
// compute minimum face size (20% of the frame height, in our case)
int absoluteFaceSize = Math.round(grayFrame.rows() * 0.2f);
if (absoluteFaceSize > 0) {
// detect faces
faceCascade.detectMultiScale(grayFrame, faces, 1.1, 2, 0 | Objdetect.CASCADE_SCALE_IMAGE, new Size(absoluteFaceSize, absoluteFaceSize), new Size());
// each rectangle in faces is a face: draw them!
return faces.toArray();
}
return new Rect[] {};
}
@Override
public void stop() throws Exception {
timer.shutdown();
camera.release();
super.stop();
}
}