OpenCV+Java+JFrame视频/摄像头人脸检测器

青旅半醒 2022-03-25 03:20 291阅读 0赞

配置部分请参照前一篇博客：[https://blog.csdn.net/qq\_37598011/article/details/86521560][https_blog.csdn.net_qq_37598011_article_details_86521560]

pom文件如下：

<dependency>
    			<groupId>org.bytedeco.javacpp-presets</groupId>
    			<artifactId>ffmpeg</artifactId>
    			<version>3.1.2-1.2</version>
    		</dependency>
    		<dependency>
    			<groupId>org.bytedeco</groupId>
    			<artifactId>javacv</artifactId>
    			<version>1.4.1</version>
    		</dependency>
    		
    		<dependency>
    			<groupId>org.bytedeco.javacpp-presets</groupId>
    			<artifactId>ffmpeg-platform</artifactId>
    			<version>3.4.2-1.4.1</version>
    		</dependency>
    		<dependency>
    			<groupId>commons-io</groupId>
    			<artifactId>commons-io</artifactId>
    			<version>2.4</version>
    		</dependency>
    
    
    		
    		
    		<dependency>
    			<groupId>org.bytedeco</groupId>
    			<artifactId>javacv-platform</artifactId>
    			<version>1.4.1</version>
    		</dependency>
    		
    		<dependency>
    			<groupId>org.bytedeco.javacpp-presets</groupId>
    			<artifactId>opencv-platform</artifactId>
    			<version>3.4.1-1.4.1</version>
    		</dependency>

代码如下：

容器类：

package com.opencv.controller;
    /* 
    * @author zzf 
    * @date 2019年1月17日 下午5:09:58 
    */
    
    import java.awt.BorderLayout;
    import java.awt.Color;
    import java.awt.Dimension;
    import java.awt.Graphics;
    import java.awt.Graphics2D;
    import java.awt.image.BufferedImage;
    
    import javax.swing.JComponent;
    import javax.swing.JFrame;
    
    public class JFrameGUI extends JComponent {
        /**
         * 
         */
        private static final long serialVersionUID = 1L;
        private BufferedImage image;
    
        public JFrameGUI() {
    
        }
    
        @Override
        protected void paintComponent(Graphics g) {
            Graphics2D g2d = (Graphics2D)g;
            if(image == null)  {
                g2d.setPaint(Color.BLACK);
                g2d.fillRect(0, 0, this.getWidth(), this.getHeight());
            } else {
                g2d.drawImage(image, 0, 0, this.getWidth(), this.getHeight(), null);
                System.out.println("show frame...");
            }
        }
    
        public void createWin(String title) {
        	JFrame ui = new JFrame();
            ui.setTitle(title);
            ui.getContentPane().setLayout(new BorderLayout());
            ui.getContentPane().add(this, BorderLayout.CENTER);
            ui.setSize(new Dimension(330, 240));
            ui.setVisible(true);
        }
    
        /**
         * 创建基本容器
         * @param title
         * @param size
         */
        public void createWin(String title, Dimension size) {
        	JFrame ui = new JFrame();
            ui.setTitle(title);
            ui.getContentPane().setLayout(new BorderLayout());
            ui.getContentPane().add(this, BorderLayout.CENTER);
            ui.setSize(size);
            ui.setVisible(true);
        }
    
        public void imshow(BufferedImage image) {
            this.image = image;
            this.repaint();
        }
    
    }

人脸检测器：

package com.opencv.controller;
    /* 
    * @author zzf 
    * @date 2019年1月17日 下午5:09:04 
    */
    
    import java.awt.Dimension;
    import java.awt.image.BufferedImage;
    import java.io.File;
    import java.io.IOException;
    import java.net.URL;
    
    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.imgproc.Imgproc;
    import org.opencv.objdetect.CascadeClassifier;
    import org.opencv.videoio.VideoCapture;
    
    public class FaceDetectionDemo {
    
        public static void main(String[] args) throws IOException {
        	//加载dll
            System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
            //获取resource目录下的haarcascade_frontalface_alt.xml
            URL url = new URL(Thread.currentThread().getContextClassLoader().getResource("")+
            		"haarcascade_frontalface_alt.xml");
    		CascadeClassifier faceDetector = new CascadeClassifier(new File(url.getPath()).toString());
            // 打开摄像头或者视频文件
            VideoCapture capture = new VideoCapture();
            //打开摄像头
    //        capture.open(0);
    //        打开视频文件 
            capture.open("http://vali-dns.cp31.ott.cibntv.net/6572374C8FE4471B78B4B48E3/03000807005BDD8A16ACA03559D58B7B66A48F-1057-4595-86BB-969B9825D756.mp4?ccode=0501&duration=300&expire=18000&psid=fbcd2f2387fd47f6fea1cb5ba008cfeb&ups_client_netip=71d7bd4f&ups_ts=1547783136&ups_userid=&utid=HOdFFDduVxMCAXHXvEIAXfix&vid=XMzg5NTEwNDg4OA&vkey=A949c7b96d1a234a3934b238a56045964&s=efbfbdd2805befbfbd57&sp=");
    //        capture.open("http://devimages.apple.com.edgekey.net/streaming/examples/bipbop_4x3/gear2/prog_index.m3u8");
            //判断是否能加载视频
            if(!capture.isOpened()) {
                System.out.println("无法加载视频数据……");
                return;
            }
          //获取帧的宽度
            int frameWidth = (int)capture.get(3);
          //获取帧的高度
            int frameHeight = (int)capture.get(4);
            //创建容器
            JFrameGUI gui = new JFrameGUI();
            gui.createWin("嘤嘤嘤的人脸识别器", new Dimension(frameWidth, frameHeight));
            //创建图像容器类
            Mat frame = new Mat();
            while(true) {
            	//读取一帧
                boolean have = capture.read(frame);
    //          会翻转
    //            Core.flip(frame, frame, 1);// Win上摄像头
                // 进行人脸检测
                MatOfRect faceDetections = new MatOfRect();
        		faceDetector.detectMultiScale(frame, faceDetections);
        		System.out.println(String.format("检测到人脸： %s", faceDetections.toArray().length));
        		for (Rect rect : faceDetections.toArray()) {
        			Imgproc.rectangle(frame, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
        					new Scalar(0, 255, 0), 1);
        		}
                if(!have) break;
                if(!frame.empty()) {
                	//Mat转换BufferedImage并刷新
                    gui.imshow(conver2Image(frame));
                    gui.repaint();
                }
                try {
                    Thread.sleep(0);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
    
        }
    
        /**
         * Mat类转换BufferedImage类
         * @param mat
         * @return
         */
        public static BufferedImage conver2Image(Mat mat) {
            int width = mat.cols();
            int height = mat.rows();
            int dims = mat.channels();
            int[] pixels = new int[width*height];
            byte[] rgbdata = new byte[width*height*dims];
            mat.get(0, 0, rgbdata);
            BufferedImage image = new BufferedImage(width, height, BufferedImage.TYPE_INT_ARGB);
            int index = 0;
            int r=0, g=0, b=0;
            for(int row=0; row<height; row++) {
                for(int col=0; col<width; col++) {
                    if(dims == 3) {
                        index = row*width*dims + col*dims;
                        b = rgbdata[index]&0xff;
                        g = rgbdata[index+1]&0xff;
                        r = rgbdata[index+2]&0xff;
                        pixels[row*width+col] = ((255&0xff)<<24) | ((r&0xff)<<16) | ((g&0xff)<<8) | b&0xff; 
                    }
                    if(dims == 1) {
                        index = row*width + col;
                        b = rgbdata[index]&0xff;
                        pixels[row*width+col] = ((255&0xff)<<24) | ((b&0xff)<<16) | ((b&0xff)<<8) | b&0xff; 
                    }
                }
            }
            setRGB( image, 0, 0, width, height, pixels);
            return image;
        }
    
        /**
         * 图像中设置ARGB像素
         */
        public static void setRGB( BufferedImage image, int x, int y, int width, int height, int[] pixels ) {
            int type = image.getType();
            if ( type == BufferedImage.TYPE_INT_ARGB || type == BufferedImage.TYPE_INT_RGB )
                image.getRaster().setDataElements( x, y, width, height, pixels );
            else
                image.setRGB( x, y, width, height, pixels, 0, width );
        }
    
    }

目录结构如下：

![20190118130258759.png][]

ok~运行：

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM3NTk4MDEx_size_16_color_FFFFFF_t_70][]

如果需要人脸识别则改成

***capture.open(0);***

调用本地摄像头……

[https_blog.csdn.net_qq_37598011_article_details_86521560]: https://blog.csdn.net/qq_37598011/article/details/86521560
[20190118130258759.png]: /images/20220325/cecfd182fe3c4cf68a259e77f61f80a1.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzM3NTk4MDEx_size_16_color_FFFFFF_t_70]: /images/20220325/409940d9373f4bd2af8c0bc2511cbe9d.png