Java tutorial
/* * To change this license header, choose License Headers in Project Properties. * To change this template file, choose Tools | Templates * and open the template in the editor. */ package webcamfacedetect; 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.core.Size; import org.opencv.imgproc.Imgproc; import org.opencv.objdetect.CascadeClassifier; /** * * @author duo */ public class Processor { private final CascadeClassifier face_cascade; // Create a constructor method public Processor() { String CASCADEFILE = getClass().getResource("/res/classifiers/haarcascade_frontalface_alt.xml").getPath(); System.out.println("Cascade file: " + CASCADEFILE); face_cascade = new CascadeClassifier(CASCADEFILE); if (face_cascade == null) { System.out.println(String.format("Error loading %s", CASCADEFILE)); System.exit(1); } else { System.out.println("Face classifier correctly loaded."); } } public Mat detect(Mat inputframe) { Mat mRgba = new Mat(); Mat mGrey = new Mat(); MatOfRect faces = new MatOfRect(); inputframe.copyTo(mRgba); inputframe.copyTo(mGrey); Imgproc.cvtColor(mRgba, mGrey, Imgproc.COLOR_BGR2GRAY); Imgproc.equalizeHist(mGrey, mGrey); face_cascade.detectMultiScale(mGrey, faces); System.out.println(String.format("Detected %s faces.", faces.toArray().length)); for (Rect rect : faces.toArray()) { Point center = new Point(rect.x + rect.width * 0.5, rect.y + rect.height * 0.5); Imgproc.ellipse(mRgba, center, new Size(rect.width * 0.5, rect.height * 0.5), 0, 0, 360, new Scalar(255, 0, 255), 4, 8, 0); } return mRgba; } }