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 classes; import com.google.gson.Gson; import java.io.File; import java.text.Format; import java.text.SimpleDateFormat; import java.util.Date; 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 ggm */ public class FaceDetector { public static String detectFace(String filePath) { // String dirName = "C:/Users/ggm/Documents/NetBeansProjects/MyWebApplication"; String dirName = "C:/Users/Gonzalo/Documents/NetBeansProjects/MyWebApplication"; // String dirName = "/Users/ggmendez/Development/MyWebApplication"; System.out.println(dirName); String frontalfaceFile = dirName + "/data/lbpcascades/lbpcascade_frontalface.xml"; System.out.println(frontalfaceFile); CascadeClassifier faceDetector = new CascadeClassifier(frontalfaceFile); Mat image = Highgui.imread(filePath); System.out.println(image); // 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. Date date = new Date(); Format formatter = new SimpleDateFormat("YYYY-MM-dd_hh-mm-ss"); String filename = dirName + "/imgs/out_" + formatter.format(date) + ".png"; System.out.println(String.format("Writing %s", filename)); Highgui.imwrite(filename, image); Gson gson = new Gson(); String jsonResponse = gson.toJson(faceDetections.toArray()); jsonResponse = jsonResponse.replaceAll("x", "left").replaceAll("y", "top"); return jsonResponse; } }