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 imageprocess; import java.net.URL; 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.highgui.Highgui; import org.opencv.objdetect.CascadeClassifier; /** * * @author Calvin He */ public class FaceDetector { public void run() { System.out.println("\nRunning DetectFaceDemo"); // Create a face detector from the cascade file in the resources // directory. CascadeClassifier faceDetector = new CascadeClassifier("D:\\backup\\lbpcascade_frontalface.xml"); Mat image = Highgui.imread("D:\\backup\\scarlett-800x600.jpg"); // Detect faces in the image. // MatOfRect is a special container class for Rect. MatOfRect faceDetections = new MatOfRect(); faceDetector.detectMultiScale(image, faceDetections); System.out.println(String.format("Detected %s faces", faceDetections.toArray().length)); // Draw a bounding box around each face. for (Rect rect : faceDetections.toArray()) { Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0)); } // Save the visualized detection. String filename = "D:\\backup\\faceDetection.png"; System.out.println(String.format("Writing %s", filename)); Highgui.imwrite(filename, image); } }