小编And*_*dro的帖子

我需要使用WebRTC for android将特定的裁剪(面部)视频发送到videoChannel.我能够操作CameraRession类WebRTC来裁剪面部.现在我将它设置为ImageView. listenForBytebufferFrames()的Camera1Session.java

private void listenForBytebufferFrames() {
    this.camera.setPreviewCallbackWithBuffer(new PreviewCallback() {
        public void onPreviewFrame(byte[] data, Camera callbackCamera) {
            Camera1Session.this.checkIsOnCameraThread();
            if(callbackCamera != Camera1Session.this.camera) {
                Logging.e("Camera1Session", "Callback from a different camera. This should never happen.");
            } else if(Camera1Session.this.state != Camera1Session.SessionState.RUNNING) {
                Logging.d("Camera1Session", "Bytebuffer frame captured but camera is no longer running.");
            } else {
                mFrameProcessor.setNextFrame(data, callbackCamera);
                long captureTimeNs = TimeUnit.MILLISECONDS.toNanos(SystemClock.elapsedRealtime());
                if(!Camera1Session.this.firstFrameReported) {
                    int startTimeMs = (int)TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - Camera1Session.this.constructionTimeNs);
                    Camera1Session.camera1StartTimeMsHistogram.addSample(startTimeMs);
                    Camera1Session.this.firstFrameReported = true;
                }

                ByteBuffer byteBuffer1 = ByteBuffer.wrap(data); …

我正在实施google-vision人脸跟踪器中给出的示例. MyFaceDetector类:

public class MyFaceDetector extends Detector<Face> {
    private Detector<Face> mDelegate;

    MyFaceDetector(Detector<Face> delegate) {
        mDelegate = delegate;
    }

    public SparseArray<Face> detect(Frame frame) {
        return mDelegate.detect(frame);
    }

    public boolean isOperational() {
        return mDelegate.isOperational();
    }

    public boolean setFocus(int id) {
        return mDelegate.setFocus(id);
    }

}

FaceTrackerActivity 类:

private void createCameraSource() {

    imageView = (ImageView) findViewById(R.id.face);

    FaceDetector faceDetector = new FaceDetector.Builder(this).build();
    myFaceDetector = new MyFaceDetector(faceDetector);
    myFaceDetector.setProcessor(new MultiProcessor.Builder<>(new GraphicFaceTrackerFactory())
            .build());
    mCameraSource = new CameraSource.Builder(this, myFaceDetector)
            .setRequestedPreviewSize(640, 480)
            .setFacing(CameraSource.CAMERA_FACING_FRONT)
            .setRequestedFps(60.0f)
            .build();

    if (!myFaceDetector.isOperational()) …