可以做立体图形的网站百度排名优化软件

调用摄像头

public class Camera {public static void main(String[] args) throws FrameGrabber.Exception {// 开启抓取器OpenCVFrameGrabber grabber = new OpenCVFrameGrabber(0);grabber.start();// 开启窗口CanvasFrame canvasFrame = new CanvasFrame("OpenCV Frame");canvasFrame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);canvasFrame.setAlwaysOnTop(true);// 设置窗口大小canvasFrame.setCanvasSize(800, 600);// 循环展示while (canvasFrame.isVisible()) {canvasFrame.showImage(grabber.grab());}grabber.close();//关闭抓取器}
}

录制视频

public class Recording {private static final String FILE_NAME = "D://recording.mp4";@SuppressWarnings("resource")public static void main(String[] args) throws FrameGrabber.Exception, FrameRecorder.Exception {// 开启抓取器OpenCVFrameGrabber grabber = new OpenCVFrameGrabber(0);grabber.start();//转换器，抓取一帧视频并将其转换为图像OpenCVFrameConverter<IplImage> converter = new OpenCVFrameConverter.ToIplImage();IplImage iplImage = converter.convertToIplImage(grabber.grab());// 开启录制器OpenCVFrameRecorder recorder = new OpenCVFrameRecorder(FILE_NAME, iplImage.width(), iplImage.height());recorder.setVideoCodec(avcodec.AV_CODEC_ID_MPEG4);recorder.setFormat("mp4");recorder.start();// 开启窗口CanvasFrame canvasFrame = new CanvasFrame("OpenCV Frame");canvasFrame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);canvasFrame.setAlwaysOnTop(true);// 设置窗口大小canvasFrame.setCanvasSize(iplImage.width(), iplImage.height());// 循环展示Frame image;while (canvasFrame.isVisible()) {image = grabber.grab();canvasFrame.showImage(image);recorder.record(image);}recorder.close();// 关闭推流录制器，close包含release和stop操作grabber.close();// 关闭抓取器}
}

录制带音频的视频

public class Audio {// 采样率private final static int SAMPLE_RATE = 44100;// 音频通道数，2表示立体声private final static int CHANNEL_NUM = 2;private static final String FILE_NAME = "D://recording.mp4";@SuppressWarnings("resource")public static void main(String[] args) throws FrameGrabber.Exception, FrameRecorder.Exception, LineUnavailableException {// 音频格式的参数AudioFormat audioFormat = new AudioFormat(SAMPLE_RATE, 16, CHANNEL_NUM, true, false);// 获取数据线所需的参数DataLine.Info dataLineInfo = new DataLine.Info(TargetDataLine.class, audioFormat);// 从音频捕获设备取得其数据的数据线，之后的音频数据就从该数据线中获取TargetDataLine line = (TargetDataLine) AudioSystem.getLine(dataLineInfo);line.open(audioFormat);// 数据线与音频数据的IO建立联系line.start();// 每次取得的原始数据大小final int audioBufferSize = SAMPLE_RATE * CHANNEL_NUM;// 初始化数组，用于暂存原始音频采样数据byte[] audioBytes = new byte[audioBufferSize];// 开启抓取器OpenCVFrameGrabber grabber = new OpenCVFrameGrabber(0);grabber.start();//转换器，抓取一帧视频并将其转换为图像OpenCVFrameConverter<IplImage> converter = new OpenCVFrameConverter.ToIplImage();IplImage iplImage = converter.convertToIplImage(grabber.grab());// 开启录制器FFmpegFrameRecorder recorder = new FFmpegFrameRecorder(FILE_NAME, iplImage.width(), iplImage.height());recorder.setVideoCodec(avcodec.AV_CODEC_ID_MPEG4);recorder.setFormat("mp4");// 码率恒定recorder.setAudioOption("crf", "0");// 最高音质recorder.setAudioQuality(0);// 192 Kbpsrecorder.setAudioBitrate(192000);// 采样率recorder.setSampleRate(SAMPLE_RATE);// 立体声recorder.setAudioChannels(2);// 编码器recorder.setAudioCodec(avcodec.AV_CODEC_ID_AAC);recorder.start();// 开启窗口CanvasFrame canvasFrame = new CanvasFrame("OpenCV Frame");canvasFrame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);canvasFrame.setAlwaysOnTop(true);// 设置窗口大小canvasFrame.setCanvasSize(iplImage.width(), iplImage.height());// 循环展示Frame image;while (canvasFrame.isVisible()) {image = grabber.grab();canvasFrame.showImage(image);recorder.record(image);int nBytesRead = line.read(audioBytes, 0, line.available());// 采样数据是16比特，也就是2字节，对应的数据类型就是short，// 所以准备一个short数组来接受原始的byte数组数据// short是2字节，所以数组长度就是byte数组长度的二分之一int nSamplesRead = nBytesRead / 2;short[] samples = new short[nSamplesRead];// 两个byte放入一个short中的时候，谁在前谁在后？这里用LITTLE_ENDIAN指定拜访顺序，ByteBuffer.wrap(audioBytes).order(ByteOrder.LITTLE_ENDIAN).asShortBuffer().get(samples);// 将short数组转为ShortBuffer对象，因为帧录制器的入参需要该类型ShortBuffer sBuff = ShortBuffer.wrap(samples, 0, nSamplesRead);// 音频帧交给帧录制器输出recorder.recordSamples(SAMPLE_RATE, CHANNEL_NUM, sBuff);}recorder.close();// 关闭推流录制器，close包含release和stop操作grabber.close();// 关闭抓取器}
}

人脸识别

public class Face {@SuppressWarnings("resource")public static void main(String[] args) throws FrameGrabber.Exception {CascadeClassifier cascadeClassifier = new CascadeClassifier("D:\\Workspace\\javacv-demo\\src\\main\\resources\\haarcascade_frontalface_alt.xml");OpenCVFrameGrabber grabber = new OpenCVFrameGrabber(0);grabber.start();// 转换器，抓取一帧视频并将其转换为图像，获取图像大小OpenCVFrameConverter.ToIplImage imageConverter = new OpenCVFrameConverter.ToIplImage();Frame grab = grabber.grab();IplImage iplImage = imageConverter.convertToIplImage(grab);OpenCVFrameConverter.ToMat converter = new OpenCVFrameConverter.ToMat();// 开启窗口CanvasFrame canvasFrame = new CanvasFrame("OpenCV Frame");canvasFrame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);canvasFrame.setAlwaysOnTop(true);// 设置窗口大小canvasFrame.setCanvasSize(iplImage.width(), iplImage.height());// 循环展示Frame frame;while (canvasFrame.isVisible()) {frame = grabber.grab();Mat image = converter.convertToMat(frame);RectVector faces = new RectVector();cascadeClassifier.detectMultiScale(image, faces);for (int i = 0; i < faces.size(); i++) {opencv_imgproc.rectangle(image, faces.get(i), new Scalar().green(255));}canvasFrame.showImage(frame);}grabber.close();// 关闭抓取器}
}

人脸64关键点

public class FacemarkDemo {@SuppressWarnings("resource")public static void main(String[] args) throws FrameGrabber.Exception {CascadeClassifier cascadeClassifier = new CascadeClassifier("D:\\Workspace\\javacv-demo\\src\\main\\resources\\haarcascade_frontalface_alt.xml");Facemark facemark = createFacemarkLBF();facemark.loadModel("D:\\Workspace\\javacv-demo\\src\\main\\resources\\lbfmodel.yaml");OpenCVFrameGrabber grabber = new OpenCVFrameGrabber(0);grabber.start();// 转换器，抓取一帧视频并将其转换为图像，获取图像大小OpenCVFrameConverter.ToIplImage imageConverter = new OpenCVFrameConverter.ToIplImage();Frame grab = grabber.grab();IplImage iplImage = imageConverter.convertToIplImage(grab);OpenCVFrameConverter.ToMat converter = new OpenCVFrameConverter.ToMat();// 开启窗口CanvasFrame canvasFrame = new CanvasFrame("OpenCV Frame");canvasFrame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);// 设置窗口大小canvasFrame.setCanvasSize(iplImage.width(), iplImage.height());// 循环展示Frame frame;while (canvasFrame.isVisible()) {frame = grabber.grab();Mat image = converter.convertToMat(frame);RectVector faces = new RectVector();cascadeClassifier.detectMultiScale(image, faces);Point2fVectorVector landmarks = new Point2fVectorVector();if (!image.empty() && faces.size() > 0) {facemark.fit(image, faces, landmarks);for (int i = 0; i < landmarks.size(); i++) {drawFacemarks(image, landmarks.get(i), new Scalar().red(255));}}for (int i = 0; i < faces.size(); i++) {opencv_imgproc.rectangle(image, faces.get(i), new Scalar().green(255));}canvasFrame.showImage(frame);}grabber.close();// 关闭抓取器}
}