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 facedetection; import java.awt.image.BufferedImage; import java.awt.image.DataBufferByte; import java.util.ArrayList; import java.util.List; 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; /** * * @author Nomi */ public class FaceDetector { private Mat img; private List<Rect> faceList; public FaceDetector(String fileName) { img = Imgcodecs.imread(fileName); faceList = new ArrayList(); } public BufferedImage getImg() { return mat2BufferedImage(img); } public void findFaces() { System.loadLibrary(Core.NATIVE_LIBRARY_NAME); CascadeClassifier faceDetector = new CascadeClassifier( "D:\\opencv\\sources\\data\\lbpcascades\\lbpcascade_frontalface.xml"); MatOfRect faceDetections = new MatOfRect(); faceDetector.detectMultiScale(img, faceDetections); System.out.println(faceDetections); for (Rect rect : faceDetections.toArray()) { faceList.add(rect); Imgproc.rectangle(img, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0)); } } public List<Rect> getFaceList() { return faceList; } public BufferedImage mat2BufferedImage(Mat m) { int type = BufferedImage.TYPE_BYTE_GRAY; if (m.channels() > 1) { type = BufferedImage.TYPE_3BYTE_BGR; } int bufferSize = m.channels() * m.cols() * m.rows(); byte[] b = new byte[bufferSize]; m.get(0, 0, b); // get all the pixels BufferedImage image = new BufferedImage(m.cols(), m.rows(), type); final byte[] targetPixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData(); System.arraycopy(b, 0, targetPixels, 0, b.length); return image; } }