环境搭建：https://blog.csdn.net/colourful_sky/article/details/69487720
功能：调用系统摄像头检测人脸，检测到一张完整人脸后自动关闭摄像头窗口并将人脸保存到本地，没有检测到人脸或检测到多张人脸给提示继续直到检测到完整人脸
1 package com.jf,opencv;
2
3 import java.awt.image.BufferedImage;
4
5 import javax.swing.JFrame;
6 import javax.swing.JPanel;
7 import javax.swing.WindowConstants;
8
9 import org.opencv.core.Core;
10 import org.opencv.core.Mat;
11 import org.opencv.core.MatOfRect;
12 import org.opencv.core.Point;
13 import org.opencv.core.Rect;
14 import org.opencv.core.Scalar;
15 import org.opencv.imgcodecs.Imgcodecs;
16 import org.opencv.imgproc.Imgproc;
17 import org.opencv.objdetect.CascadeClassifier;
18 import org.opencv.videoio.VideoCapture;
19 import org.opencv.videoio.Videoio;
20
21
22 public class OpencvTest extends JPanel {
23 static class Haha {
24 private Mat mat;
25 private int num;
26
27 public Mat getMat() {
28 return mat;
29 }
30 public void setMat(Mat mat) {
31 this.mat = mat;
32 }
33 public int getNum() {
34 return num;
35 }
36 public void setNum(int num) {
37 this.num = num;
38 }
39 }
40
41 private static final long serialVersionUID = 1L;
42 @SuppressWarnings("unused")
43 private BufferedImage mImg;
44
45 private BufferedImage mat2BI(Mat mat){
46 int dataSize = mat.cols()*mat.rows()*(int)mat.elemSize();
47 byte[] data = new byte[dataSize];
48 mat.get(0, 0,data);
49 int type = mat.channels() == 1 ? BufferedImage.TYPE_BYTE_GRAY:BufferedImage.TYPE_3BYTE_BGR;
50 if(type == BufferedImage.TYPE_3BYTE_BGR){
51 for(int i = 0;i < dataSize;i += 3){
52 byte blue = data[i + 0];
53 data[i + 0] = data[i + 2];
54 data[i + 2] = blue;
55 }
56 }
57 BufferedImage image = new BufferedImage(mat.cols(),mat.rows(),type);
58 image.getRaster().setDataElements(0, 0, mat.cols(), mat.rows(), data);
59 return image;
60 }
61
62 public static void main(String[] args) {
63 try{
64 System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
65 Mat capImg = new Mat();
66 //启动摄像头
67 VideoCapture capture = new VideoCapture(0);
68 int height = (int)capture.get(Videoio.CAP_PROP_FRAME_HEIGHT);
69 int width = (int)capture.get(Videoio.CAP_PROP_FRAME_WIDTH);
70 if(height == 0 || width == 0){
71 throw new Exception("camera not found!");
72 }
73 //使Java实现窗体功能
74 JFrame frame = new JFrame("camera");
75 //用户单击窗口的关闭按钮时执行的操作
76 frame.setDefaultCloseOperation(WindowConstants.DISPOSE_ON_CLOSE); //关闭窗体时，自动隐藏并释放窗体
77 OpencvTest panel = new OpencvTest();
78 frame.setContentPane(panel); //给窗体加个面板
79 frame.setVisible(true); //这个组件显示为可见
80 frame.setSize(width+frame.getInsets().left+frame.getInsets().right,
81 height+frame.getInsets().top+frame.getInsets().bottom);
82 int n = 0;
83 while(frame.isShowing() && n != 1){
84 capture.read(capImg);//获取视频帧
85 //将 capImg 按照 Imgproc.COLOR_RGB2GRAY 的色彩空间转换到 temp
86 // Imgproc.cvtColor(capImg, temp, Imgproc.COLOR_RGB2GRAY);
87 Imgcodecs.imwrite("D:/opencv/images/back"+ (n + 1) +".png", capImg); //将色彩空间转换后的capImg保存到本地
88 Haha haha = detectFace(capImg);
89 panel.mImg = panel.mat2BI(haha.getMat()); //人像画红框
90 int num = haha.getNum();
91 if(num == 1)
92 n = num ;
93 else if(num > 1)
94 System.out.println("1个人？");
95 else
96 System.out.println("有人吗");
97 panel.repaint();//重绘窗口
98 }
99 capture.release();
100 frame.dispose(); //关闭窗口
101 frame = null;
102 }catch(Exception e){
103 System.out.println("例外：" + e);
104 }finally{
105 System.out.println("--done--");
106 }
107 }
108
109 /**
110 * opencv实现人脸识别
111 * @param img
112 */
113 public static Haha detectFace(Mat img) throws Exception{
114 Haha haha = new Haha();
115 System.out.println("Running DetectFace ... ");
116 // 从配置文件lbpcascade_frontalface.xml中创建一个人脸识别器，该文件位于opencv安装目录中
117 CascadeClassifier faceDetector = new CascadeClassifier(System.getProperty("user.dir") + "\\bin\\openccv\\haarcascade_frontalface_alt.xml");
118
119 // 在图片中检测人脸
120 MatOfRect faceDetections = new MatOfRect();
121 faceDetector.detectMultiScale(img, faceDetections);
122
123 Rect[] rects = faceDetections.toArray();
124 if(rects != null && rects.length >= 1){
125 for (Rect rect : rects) {
126 //处理直方图
127 Imgproc.rectangle(img, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
128 new Scalar(0, 0, 255), 2);
129 }
130 }
131 haha.setMat(img);
132 haha.setNum(rects.length);
133 return haha;
134 }
135 }
