使用JavaCV播放视频、摄像头、人脸识别

一、导入Maven依赖包

    <dependencies>
        <!-- https://mvnrepository.com/artifact/org.bytedeco/javacv-platform -->
        <dependency>
            <groupId>org.bytedeco</groupId>
            <artifactId>javacv-platform</artifactId>
            <version>1.4.1</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.bytedeco.javacpp-presets/opencv-platform -->
        <dependency>
            <groupId>org.bytedeco.javacpp-presets</groupId>
            <artifactId>opencv-platform</artifactId>
            <version>3.4.1-1.4.1</version>
        </dependency>
 
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.12</version>
            <scope>test</scope>
        </dependency>
 
    </dependencies>

二、查看前文了解基础

　　https://www.cnblogs.com/songxingzhu/p/9088204.html

　　

三、使用JavaCV播放视频的多种测试

import org.bytedeco.javacpp.*;
import org.bytedeco.javacv.*;
import org.junit.Test;
 
import javax.swing.*;
import java.io.File;
import java.math.RoundingMode;
import java.net.MalformedURLException;
import java.util.Map;
import java.util.concurrent.TimeUnit;
 
import static org.bytedeco.javacpp.opencv_core.Mat;
import static org.bytedeco.javacpp.opencv_imgproc.COLOR_BGRA2GRAY;
 
public class JavaCVTest {
 
    private void showFrames(String winTitle, FrameGrabber grabber) throws FrameGrabber.Exception, InterruptedException {
        CanvasFrame canvas = new CanvasFrame(winTitle,1);//新建一个窗口
        canvas.setDefaultCloseOperation(WindowConstants.EXIT_ON_CLOSE);
        canvas.setAlwaysOnTop(true);
        while (true) {
            if (!canvas.isVisible()) {
                break;
            }
            Frame frame = grabber.grab();
            canvas.showImage(frame);
            Thread.sleep(50);//50毫秒刷新一次图像
        }
    }
 
    private void showFramesWithFace(String winTitle, FrameGrabber grabber) throws FrameGrabber.Exception, InterruptedException {
        OpenCVFrameConverter.ToMat convertToMat = new OpenCVFrameConverter.ToMat();
        File fileAbsolutePath = new File(ClassLoader.getSystemClassLoader().getResource("data/lbpcascade_frontalface_improved.xml").getFile());
        //opencv_objdetect.CvHaarClassifierCascade face_cascade=opencv_objdetect.cvLoadHaarClassifierCascade(fileAbsolutePath.getAbsolutePath(),new opencv_core.CvSize(0,0));
        opencv_objdetect.CascadeClassifier face_cascade = new opencv_objdetect.CascadeClassifier(fileAbsolutePath.getAbsolutePath());
        opencv_core.RectVector faces = new opencv_core.RectVector();
        CanvasFrame canvas = new CanvasFrame(winTitle,1);//新建一个窗口
        canvas.setDefaultCloseOperation(WindowConstants.EXIT_ON_CLOSE);
        canvas.setAlwaysOnTop(true);
        while (true) {
            if (!canvas.isVisible()) {
                break;
            }
            Frame frame = grabber.grab();
            Mat mat = convertToMat.convert(frame);
            if (mat.empty())
                continue;
            Mat videoMatGray = new Mat();
            opencv_imgproc.cvtColor(mat, videoMatGray, COLOR_BGRA2GRAY);
            opencv_imgproc.equalizeHist(videoMatGray, videoMatGray);
            //int[] rejectLevels = new int[0];
            //double[] levelWeights = new double[0];
            face_cascade.detectMultiScale(videoMatGray, faces);
            for (int i = 0; i < faces.size(); i++) {
                opencv_core.Rect face = faces.get(i);
                opencv_imgproc.rectangle(mat, face, opencv_core.Scalar.RED, 4, 8, 0);
            }
 
            //opencv_highgui.imshow(winTitle, mat);
            //opencv_highgui.waitKey(30);
            canvas.showImage(convertToMat.convert(mat));
            Thread.sleep(30);//50毫秒刷新一次图像
        }
    }
 
    @Test
    public void testCamera() throws InterruptedException, FrameGrabber.Exception {
        OpenCVFrameGrabber grabber = new OpenCVFrameGrabber(0);
        grabber.setImageWidth(1280);
        grabber.setImageHeight(720);
        grabber.start();   //开始获取摄像头数据
        showFrames("Camera", grabber);
        grabber.stop();
        grabber.close();
    }
 
    @Test
    public void testCamera1() throws FrameGrabber.Exception, InterruptedException {
        VideoInputFrameGrabber grabber = new VideoInputFrameGrabber(0);
        grabber.start();   //开始获取摄像头数据
        showFrames("Camera", grabber);
        grabber.stop();
        grabber.close();
    }
 
    @Test
    public void testCamera2() throws FrameGrabber.Exception, InterruptedException, MalformedURLException {
        IPCameraFrameGrabber grabber = new IPCameraFrameGrabber("http://admin:12345@192.0.0.64:554/MPEG-4/ch1/main/av_stream", 30, 30, TimeUnit.SECONDS);
        grabber.start();
        showFrames("IPCamera", grabber);
        grabber.stop();
        grabber.close();
    }
 
    @Test
    public void testVideo() throws FrameGrabber.Exception, InterruptedException, MalformedURLException {
        FFmpegFrameGrabber grabber = FFmpegFrameGrabber.createDefault("rtmp://127.0.0.1:12580/live/app"); //这里也可以是本地文件，也可以网络文件。如：rtmp://127.0.0.1:12580/live/app
        grabber.setImageWidth(1366);
        grabber.setImageHeight(768);
        grabber.start();
        showFrames("Video", grabber);
        grabber.stop();
        grabber.close();
    }
 
    @Test
    public void testFaceRecognize() throws FrameGrabber.Exception, InterruptedException, MalformedURLException, FrameRecorder.Exception {
        OpenCVFrameGrabber grabber = OpenCVFrameGrabber.createDefault(0);
        grabber.start();
        showFramesWithFace("Video", grabber);
        grabber.stop();
        grabber.close();
    }
 
}

import org.bytedeco.javacpp.Loader;
import org.bytedeco.javacpp.avcodec;
import org.bytedeco.javacpp.opencv_core;
import org.bytedeco.javacpp.opencv_objdetect;
import org.bytedeco.javacv.*;
 
public class Test {
    public static void main(String[] args) throws FrameGrabber.Exception, FrameRecorder.Exception, InterruptedException {
        // Preload the opencv_objdetect module to work around a known bug.
        String str = Loader.load(opencv_objdetect.class);
        System.out.println(str);
 
        FrameGrabber grabber = FrameGrabber.createDefault(0);
        grabber.start();
        Frame grabbedImage = grabber.grab();//抓取一帧视频并将其转换为图像，至于用这个图像用来做什么？加水印，人脸识别等等自行添加
        int width = grabbedImage.imageWidth;
        int height = grabbedImage.imageHeight;
 
        String outputFile = "d:\\record.mp4";
        //String outputFile = "rtmp://127.0.0.1:1935/rtmplive/picamera";
        FrameRecorder recorder = FrameRecorder.createDefault(outputFile, width, height); //org.bytedeco.javacv.FFmpegFrameRecorder
        System.out.println(recorder.getClass().getName());//org.bytedeco.javacv.FFmpegFrameRecorder
        recorder.setVideoCodec(avcodec.AV_CODEC_ID_H264);// avcodec.AV_CODEC_ID_H264，编码
        recorder.setFormat("flv");//封装格式，如果是推送到rtmp就必须是flv封装格式
        recorder.setFrameRate(25);
        recorder.start();//开启录制器
        long startTime = 0;
        long videoTS;
        CanvasFrame frame = new CanvasFrame("camera", CanvasFrame.getDefaultGamma() / grabber.getGamma()); //2.2/2.2=1
        //frame.setDefaultCloseOperation(WindowConstants.EXIT_ON_CLOSE);
        frame.setAlwaysOnTop(true);
        Frame rotatedFrame;
        while (frame.isVisible() && (rotatedFrame = grabber.grab()) != null) {
            frame.showImage(rotatedFrame);
            if (startTime == 0) {
                startTime = System.currentTimeMillis();
            }
            videoTS = (System.currentTimeMillis() - startTime) * 1000;//这里要注意，注意位
            recorder.setTimestamp(videoTS);
            recorder.record(rotatedFrame);
            Thread.sleep(40);
        }
        recorder.stop();
        recorder.release();
        frame.dispose();
        grabber.stop();
        grabber.close();
    }
}