用java写人脸识别demo
时间: 2023-12-04 19:04:37 浏览: 34
好的,我来回答您的问题。关于使用Java编写人脸识别Demo,有多种可选的解决方案,这里介绍其中一种。您可以使用JavaCV(Java interface to OpenCV)和OpenCV库来开发人脸识别应用。JavaCV是一个Java平台上的计算机视觉库,允许您在Java中使用常用的计算机视觉算法。接下来,我将为您提供一个简单的示例代码,来演示如何使用JavaCV进行人脸识别。
首先您需要下载JavaCV库和OpenCV库,然后将它们添加到您的Java项目中。接下来,您可以使用下面的示例代码:
```java
import org.bytedeco.javacpp.Loader;
import org.bytedeco.opencv.global.opencv_core;
import org.bytedeco.opencv.global.opencv_objdetect;
import org.bytedeco.opencv.opencv_core.*;
import org.bytedeco.opencv.opencv_objdetect.CascadeClassifier;
import javax.swing.*;
import java.awt.*;
import java.awt.image.BufferedImage;
public class FaceRecognizerDemo extends JPanel implements Runnable {
private static final long serialVersionUID = 1L;
private static final String CASCADE_FILE = "haarcascade_frontalface_default.xml";
private CascadeClassifier faceDetector;
private static final int SCALE_FACTOR = 2;
private static final int MIN_NEIGHBORS = 3;
private static final int FLAGS = 0;
private static final int MIN_SIZE = 30;
private static final int MAX_SIZE = 500;
private BufferedImage image;
private Thread thread;
private volatile boolean running = false;
public FaceRecognizerDemo() {
super();
// 加载OpenCV库
Loader.load(opencv_objdetect.class);
// 加载人脸识别分类器
faceDetector = new CascadeClassifier(CASCADE_FILE);
if (faceDetector.isNull()) {
throw new RuntimeException("加载人脸识别分类器失败!");
}
}
@Override
public void paintComponent(Graphics g) {
super.paintComponent(g);
if (image != null) {
g.drawImage(image, 0, 0, this);
}
}
public void start() {
thread = new Thread(this);
thread.start();
running = true;
}
public void stop() {
running = false;
try {
thread.join();
} catch (InterruptedException e) {
e.printStackTrace();
}
}
@Override
public void run() {
// 调用摄像头采集图像,并利用OpenCV识别人脸
VideoCapture camera = new VideoCapture(0);
if (camera.isOpened()) {
while (running) {
Mat frame = new Mat();
if (camera.read(frame)) {
// 识别人脸
RectVector faces = new RectVector();
faceDetector.detectMultiScale(frame, faces, SCALE_FACTOR, MIN_NEIGHBORS, FLAGS, new Size(MIN_SIZE, MIN_SIZE), new Size(MAX_SIZE, MAX_SIZE));
// 在图像中标记人脸位置
for (int i = 0; i < faces.size(); i++) {
Rect face = faces.get(i);
opencv_core.rectangle(frame, face, new Scalar(0, 255, 0, 0));
}
// 将OpenCV图像转为Java图像
image = matToBufferedImage(frame);
}
}
camera.release();
}
}
private BufferedImage matToBufferedImage(Mat mat) {
BufferedImage image = new BufferedImage(mat.cols(), mat.rows(), BufferedImage.TYPE_3BYTE_BGR);
byte[] data = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
mat.get(0, 0, data);
return image;
}
public static void main(String[] args) {
JFrame frame = new JFrame("Java人脸识别Demo");
FaceRecognizerDemo demo = new FaceRecognizerDemo();
frame.add(demo);
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame.setVisible(true);
frame.pack();
demo.start();
}
}
```
以上代码会打开默认的摄像头,并实时采集视频流,对视频流中的人脸进行识别,并在图像上用矩形框标记出来。您可以按下“ctrl + c”键来停止程序。
希望我的回答对您有帮助。如果您还有任何问题,请继续问我吧!