package com.xu.opencv;

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.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
import org.opencv.videoio.VideoCapture;

/** 
 * 
 * @Title: Image.java  
 * @Description: OpenCV-4.0.0 测试文件
 * @Package com.xu.test  
 * @author: xuhyacinth   
 * @date: 2019年5月7日12:13:13  
 * @version: V-1.0.0 
 * @Copyright: 2019 xuhyacinth
 *
 */
public class Image {

 static {
 //在使用OpenCV前必须加载Core.NATIVE_LIBRARY_NAME类,否则会报错
 System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
 }

 public static void main(String[] args) {
 videoFace();
 }

 /**
 * OpenCV-4.0.0 实时人脸识别
 * @return: void 
 * @date: 2019年5月7日12:16:55
 */
 public static void videoFace() {
 VideoCapture capture=new VideoCapture(0);
 Mat image=new Mat();
 int index=0;
 if (capture.isOpened()) {
  while(true) {
  capture.read(image);
  HighGui.imshow("实时人脸识别", getFace(image));
  index=HighGui.waitKey(1);
  if (index==27) {
   break;
  }
  }
 }
 return;
 } 

 /**
 * OpenCV-4.0.0 人脸识别
 * @date: 2019年5月7日12:16:55
 * @param image 待处理Mat图片(视频中的某一帧)
 * @return 处理后的图片

 */
 public static Mat getFace(Mat image) {
 // 1 读取OpenCV自带的人脸识别特征XML文件
 CascadeClassifier facebook=new CascadeClassifier("E:\\OpenCV-4.0.0\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml");
 // 2 特征匹配类
 MatOfRect face = new MatOfRect();
 // 3 特征匹配
 facebook.detectMultiScale(image, face);
 Rect[] rects=face.toArray();
 System.out.println("匹配到 "+rects.length+" 个人脸");
 // 4 为每张识别到的人脸画一个圈
 for (int i = 0; i < rects.length; i++) {
  Imgproc.rectangle(image,new Point(rects[i].x,rects[i].y), new Point(rects[i].x + rects[i].width,rects[i].y + rects[i].height), new Scalar(0, 255, 0));
  Imgproc.putText(image,"Human", new Point(rects[i].x, rects[i].y),Imgproc.FONT_HERSHEY_SCRIPT_SIMPLEX, 1.0, new Scalar(0, 255, 0),1,Imgproc.LINE_AA,false);
  //Mat dst=image.clone();
  //Imgproc.resize(image, image, new Size(300,300));
 }
 return image;
 }

}