調用攝像頭

public class Camera {public static void main(String[] args) throws FrameGrabber.Exception {// 開啟抓取器OpenCVFrameGrabber grabber = new OpenCVFrameGrabber(0);grabber.start();// 開啟窗口CanvasFrame canvasFrame = new CanvasFrame("OpenCV Frame");canvasFrame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);canvasFrame.setAlwaysOnTop(true);// 設置窗口大小canvasFrame.setCanvasSize(800, 600);// 循環展示while (canvasFrame.isVisible()) {canvasFrame.showImage(grabber.grab());}grabber.close();//關閉抓取器}
}

錄制視頻

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 {// 開啟抓取器OpenCVFrameGrabber grabber = new OpenCVFrameGrabber(0);grabber.start();//轉換器，抓取一幀視頻并將其轉換為圖像OpenCVFrameConverter<IplImage> converter = new OpenCVFrameConverter.ToIplImage();IplImage iplImage = converter.convertToIplImage(grabber.grab());// 開啟錄制器OpenCVFrameRecorder recorder = new OpenCVFrameRecorder(FILE_NAME, iplImage.width(), iplImage.height());recorder.setVideoCodec(avcodec.AV_CODEC_ID_MPEG4);recorder.setFormat("mp4");recorder.start();// 開啟窗口CanvasFrame canvasFrame = new CanvasFrame("OpenCV Frame");canvasFrame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);canvasFrame.setAlwaysOnTop(true);// 設置窗口大小canvasFrame.setCanvasSize(iplImage.width(), iplImage.height());// 循環展示Frame image;while (canvasFrame.isVisible()) {image = grabber.grab();canvasFrame.showImage(image);recorder.record(image);}recorder.close();// 關閉推流錄制器，close包含release和stop操作grabber.close();// 關閉抓取器}
}

錄制帶音頻的視頻

public class Audio {// 采樣率private final static int SAMPLE_RATE = 44100;// 音頻通道數，2表示立體聲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 {// 音頻格式的參數AudioFormat audioFormat = new AudioFormat(SAMPLE_RATE, 16, CHANNEL_NUM, true, false);// 獲取數據線所需的參數DataLine.Info dataLineInfo = new DataLine.Info(TargetDataLine.class, audioFormat);// 從音頻捕獲設備取得其數據的數據線，之后的音頻數據就從該數據線中獲取TargetDataLine line = (TargetDataLine) AudioSystem.getLine(dataLineInfo);line.open(audioFormat);// 數據線與音頻數據的IO建立聯系line.start();// 每次取得的原始數據大小final int audioBufferSize = SAMPLE_RATE * CHANNEL_NUM;// 初始化數組，用于暫存原始音頻采樣數據byte[] audioBytes = new byte[audioBufferSize];// 開啟抓取器OpenCVFrameGrabber grabber = new OpenCVFrameGrabber(0);grabber.start();//轉換器，抓取一幀視頻并將其轉換為圖像OpenCVFrameConverter<IplImage> converter = new OpenCVFrameConverter.ToIplImage();IplImage iplImage = converter.convertToIplImage(grabber.grab());// 開啟錄制器FFmpegFrameRecorder recorder = new FFmpegFrameRecorder(FILE_NAME, iplImage.width(), iplImage.height());recorder.setVideoCodec(avcodec.AV_CODEC_ID_MPEG4);recorder.setFormat("mp4");// 碼率恒定recorder.setAudioOption("crf", "0");// 最高音質recorder.setAudioQuality(0);// 192 Kbpsrecorder.setAudioBitrate(192000);// 采樣率recorder.setSampleRate(SAMPLE_RATE);// 立體聲recorder.setAudioChannels(2);// 編碼器recorder.setAudioCodec(avcodec.AV_CODEC_ID_AAC);recorder.start();// 開啟窗口CanvasFrame canvasFrame = new CanvasFrame("OpenCV Frame");canvasFrame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);canvasFrame.setAlwaysOnTop(true);// 設置窗口大小canvasFrame.setCanvasSize(iplImage.width(), iplImage.height());// 循環展示Frame image;while (canvasFrame.isVisible()) {image = grabber.grab();canvasFrame.showImage(image);recorder.record(image);int nBytesRead = line.read(audioBytes, 0, line.available());// 采樣數據是16比特，也就是2字節，對應的數據類型就是short，// 所以準備一個short數組來接受原始的byte數組數據// short是2字節，所以數組長度就是byte數組長度的二分之一int nSamplesRead = nBytesRead / 2;short[] samples = new short[nSamplesRead];// 兩個byte放入一個short中的時候，誰在前誰在后？這里用LITTLE_ENDIAN指定拜訪順序，ByteBuffer.wrap(audioBytes).order(ByteOrder.LITTLE_ENDIAN).asShortBuffer().get(samples);// 將short數組轉為ShortBuffer對象，因為幀錄制器的入參需要該類型ShortBuffer sBuff = ShortBuffer.wrap(samples, 0, nSamplesRead);// 音頻幀交給幀錄制器輸出recorder.recordSamples(SAMPLE_RATE, CHANNEL_NUM, sBuff);}recorder.close();// 關閉推流錄制器，close包含release和stop操作grabber.close();// 關閉抓取器}
}

人臉識別

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();// 轉換器，抓取一幀視頻并將其轉換為圖像，獲取圖像大小OpenCVFrameConverter.ToIplImage imageConverter = new OpenCVFrameConverter.ToIplImage();Frame grab = grabber.grab();IplImage iplImage = imageConverter.convertToIplImage(grab);OpenCVFrameConverter.ToMat converter = new OpenCVFrameConverter.ToMat();// 開啟窗口CanvasFrame canvasFrame = new CanvasFrame("OpenCV Frame");canvasFrame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);canvasFrame.setAlwaysOnTop(true);// 設置窗口大小canvasFrame.setCanvasSize(iplImage.width(), iplImage.height());// 循環展示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();// 關閉抓取器}
}

人臉64關鍵點

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();// 轉換器，抓取一幀視頻并將其轉換為圖像，獲取圖像大小OpenCVFrameConverter.ToIplImage imageConverter = new OpenCVFrameConverter.ToIplImage();Frame grab = grabber.grab();IplImage iplImage = imageConverter.convertToIplImage(grab);OpenCVFrameConverter.ToMat converter = new OpenCVFrameConverter.ToMat();// 開啟窗口CanvasFrame canvasFrame = new CanvasFrame("OpenCV Frame");canvasFrame.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);// 設置窗口大小canvasFrame.setCanvasSize(iplImage.width(), iplImage.height());// 循環展示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();// 關閉抓取器}
}