手机虚拟视频替换摄像头，QQ微信虚拟视频插件，jar代码分享

下载地址：https://www.pan38.com/yun/share.php?code=JCnzE 提取密码：9908
这段代码演示了如何使用JavaCV捕获视频流、处理帧数据并输出到虚拟摄像头设备。它需要JavaCV和OpenCV库支持。请注意这只是一个技术演示，实际实现社交软件的虚拟摄像头功能要复杂得多。

import org.bytedeco.javacv.;
import org.bytedeco.opencv.opencv_core.;
import static org.bytedeco.opencv.global.opencv_imgproc.*;

public class VirtualCameraDemo {
private static final int WIDTH = 640;
private static final int HEIGHT = 480;

public static void main(String[] args) throws FrameGrabber.Exception, FrameRecorder.Exception {
    // 创建帧抓取器(模拟摄像头输入)
    FFmpegFrameGrabber grabber = new FFmpegFrameGrabber("input.mp4");
    grabber.setImageWidth(WIDTH);
    grabber.setImageHeight(HEIGHT);
    grabber.start();

    // 创建帧记录器(模拟虚拟摄像头输出)
    FFmpegFrameRecorder recorder = new FFmpegFrameRecorder("virtualcam", WIDTH, HEIGHT);
    recorder.setFormat("dshow");
    recorder.setVideoCodec(0);
    recorder.setFrameRate(30);
    recorder.start();

    CanvasFrame frame = new CanvasFrame("Virtual Camera Preview");
    frame.setDefaultCloseOperation(javax.swing.JFrame.EXIT_ON_CLOSE);

    while (frame.isVisible()) {
        Frame grabbedFrame = grabber.grab();
        if (grabbedFrame == null) break;

        // 对视频帧进行处理(这里添加滤镜效果)
        OpenCVFrameConverter.ToMat converter = new OpenCVFrameConverter.ToMat();
        Mat mat = converter.convert(grabbedFrame);

        // 应用灰度滤镜
        Mat grayMat = new Mat();
        cvtColor(mat, grayMat, COLOR_BGR2GRAY);
        Frame processedFrame = converter.convert(grayMat);

        // 显示处理后的帧
        frame.showImage(processedFrame);

        // 将处理后的帧发送到虚拟摄像头
        recorder.record(processedFrame);

        // 添加延迟以控制帧率
        try {
            Thread.sleep(33); // ~30fps
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
    }

    grabber.stop();
    recorder.stop();
    frame.dispose();
}

}

import org.bytedeco.javacv.;
import org.bytedeco.opencv.opencv_core.;
import org.bytedeco.opencv.opencv_objdetect.;
import java.util.concurrent.;
import javax.swing.;
import static org.bytedeco.opencv.global.opencv_imgproc.;
import static org.bytedeco.opencv.global.opencv_imgcodecs.*;

public class VirtualCameraSystem {
private static final int WIDTH = 1280;
private static final int HEIGHT = 720;
private static final int FPS = 30;
private static final int BUFFER_SIZE = 10;

public static void main(String[] args) {
    // 初始化视频处理流水线
    BlockingQueue<Frame> frameQueue = new ArrayBlockingQueue<>(BUFFER_SIZE);

    // 启动视频捕获线程
    new Thread(new VideoCaptureTask(frameQueue)).start();

    // 启动视频处理线程
    new Thread(new VideoProcessTask(frameQueue)).start();

    // 启动GUI监控界面
    SwingUtilities.invokeLater(() -> new MonitoringUI().setVisible(true));
}

}

org.bytedeco.javacv.;
import java.util.concurrent.;

public class VideoCaptureTask implements Runnable {
private final BlockingQueue

public VideoCaptureTask(BlockingQueue<Frame> frameQueue) {
    this.frameQueue = frameQueue;
}

@Override
public void run() {
    try (FFmpegFrameGrabber grabber = new FFmpegFrameGrabber("input.mp4")) {
        grabber.setImageWidth(VirtualCameraSystem.WIDTH);
        grabber.setImageHeight(VirtualCameraSystem.HEIGHT);
        grabber.start();

        while (!Thread.currentThread().isInterrupted()) {
            Frame frame = grabber.grab();
            if (frame != null) {
                frameQueue.put(frame);
            }
        }
    } catch (Exception e) {
        e.printStackTrace();
    }
}

}

import org.bytedeco.javacv.;
import org.bytedeco.opencv.opencv_core.;
import java.util.concurrent.;
import static org.bytedeco.opencv.global.opencv_imgproc.;

public class VideoProcessTask implements Runnable {
private final BlockingQueue

public VideoProcessTask(BlockingQueue<Frame> frameQueue) {
    this.frameQueue = frameQueue;
}

@Override
public void run() {
    try (FFmpegFrameRecorder recorder = new FFmpegFrameRecorder("virtualcam", 
         VirtualCameraSystem.WIDTH, VirtualCameraSystem.HEIGHT)) {
        recorder.setFormat("dshow");
        recorder.setFrameRate(VirtualCameraSystem.FPS);
        recorder.start();

        while (!Thread.currentThread().isInterrupted()) {
            Frame frame = frameQueue.take();
            Mat mat = converter.convert(frame);

            // 应用多种视频特效
            Mat processed = applyEffects(mat);

            recorder.record(converter.convert(processed));
        }
    } catch (Exception e) {
        e.printStackTrace();
    }
}

private Mat applyEffects(Mat input) {
    Mat output = new Mat();
    // 这里可以添加各种图像处理效果
    cvtColor(input, output, COLOR_BGR2GRAY);
    GaussianBlur(output, output, new Size(5, 5), 0);
    return output;
}

}