Java+OpenCV实现人脸检测并自动拍照
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2020-08-25
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Java+OpenCV实现人脸检测并自动拍照实现人脸检测并自动拍照
主要为大家详细介绍了Java+OpenCV实现人脸检测，并调用笔记本摄像头实时抓拍，具有一定的参考价值，感
兴趣的小伙伴们可以参考一下
java+opencv实现人脸检测，调用笔记本摄像头实时抓拍，人脸会用红色边框标识出来，并且将抓拍的目录存放在src下，图片
名称是时间戳。
环境配置：win7 64位，jdk1.8
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);
资源评论
kukosmary2021-01-22毛用，太差了
