今天就跟大家聊聊有关如何在Java中使用OpenCV实现人脸检测,可能很多人都不太了解,为了让大家更加了解,小编给大家总结了以下内容,希望大家根据这篇文章可以有所收获。
CameraBasic.java
package com.njupt.zhb.test;
import java.awt.EventQueue;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;
import org.opencv.core.*;
import org.opencv.highgui.Highgui;
import org.opencv.highgui.VideoCapture;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
/**
* 动态人脸检测并裁剪
* @author hyj
*
*/
public class CameraBasic {
static {
System.out.println(System.getProperty("java.library.path"));
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
}
private JFrame frame;
private static JLabel label;
private static int flag = 0;
public static void main(String[] args) {
EventQueue.invokeLater(new Runnable() {
@Override
public void run() {
try {
CameraBasic window = new CameraBasic();
window.frame.setVisible(true);
} catch (Exception e) {
e.printStackTrace();
}
}
});
VideoCapture camera = new VideoCapture();//创建Opencv中的视频捕捉对象
camera.open(0);//open函数中的0代表当前计算机中索引为0的摄像头,如果你的计算机有多个摄像头,那么一次1,2,3……
if (!camera.isOpened()) {//isOpened函数用来判断摄像头调用是否成功
System.out.println("Camera Error");//如果摄像头调用失败,输出错误信息
} else {
Mat frame = new Mat();//创建一个输出帧
while (flag == 0) {
camera.read(frame);//read方法读取摄像头的当前帧
// CascadeClassifier faceDetector = new CascadeClassifier("src/com/njupt/zhb/test/lbpcascade_frontalface.xml");
CascadeClassifier faceDetector = new CascadeClassifier("src/com/njupt/zhb/test/haarcascade_frontalface_alt.xml");
MatOfRect faceDetections = new MatOfRect();
faceDetector.detectMultiScale(frame, faceDetections);
Rect [] rectArray = faceDetections.toArray();
if (rectArray.length > 0) {
for (int i=0;i<rectArray.length;i++) {
Rect rect = rectArray[i];
Rect rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);
if (rect.width + rect.height > rectCrop.height + rectCrop.width) {
rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);
}
System.out.println(String.format("检测到 %s 个人脸! ", rectArray.length));
Mat imageRoi = new Mat(frame, rectCrop);
String name = System.currentTimeMillis()+".png";
Highgui.imwrite(name, imageRoi);
Core.rectangle(frame, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 0, 255), 2);
}
}
//转换图像格式并输出
label.setIcon(new ImageIcon(mat2BufferedImage.matToBufferedImage(frame)));
try {
Thread.sleep(500);//线程暂停500ms
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
// if (faceCount > 0) {
// faceSerialCount++;
// System.out.println(faceSerialCount);
// } else {
// faceSerialCount = 0;
// }
//
// if (faceSerialCount > 6) {
// Mat imageRoi = new Mat(frame, rectCrop);
// Highgui.imwrite("haha.png", imageRoi);
// faceSerialCount = 0;
// }
}
}
}
private CameraBasic() {
initialize();
}
private void initialize() {
frame = new JFrame();
frame.setBounds(100, 100, 1000, 600);
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame.getContentPane().setLayout(null);
label = new JLabel("");
label.setBounds(0, 0, 1000, 500);
frame.getContentPane().add(label);
}
}
看完上述内容,你们对如何在Java中使用OpenCV实现人脸检测有进一步的了解吗?如果还想了解更多知识或者相关内容,请关注亿速云行业资讯频道,感谢大家的支持。
亿速云「云服务器」,即开即用、新一代英特尔至强铂金CPU、三副本存储NVMe SSD云盘,价格低至29元/月。点击查看>>
免责声明:本站发布的内容(图片、视频和文字)以原创、转载和分享为主,文章观点不代表本网站立场,如果涉及侵权请联系站长邮箱:is@yisu.com进行举报,并提供相关证据,一经查实,将立刻删除涉嫌侵权内容。