QsFaceApi api = new QsFaceApi();
    //Constants.getFaceShapeModelPath() 为模型文件 qiansou_68_face_landmarks.dat 的文件路径
    api.initial(Constants.getFaceShapeModelPath());

    /**
     * 预览回调
     */
    private Camera.PreviewCallback previewCallback = new Camera.PreviewCallback() {
        @Override
        public void onPreviewFrame(byte[] data, Camera camera) {
            Camera.Size size = mCamera.getParameters().getPreviewSize();
            try{
                YuvImage image = new YuvImage(data, ImageFormat.NV21, size.width, size.height, null);
                if(image!=null){
                    ByteArrayOutputStream stream = new ByteArrayOutputStream();
                    image.compressToJpeg(new Rect(0, 0, size.width, size.height), 80, stream);

                    Bitmap bmp = BitmapFactory.decodeByteArray(stream.toByteArray(), 0, stream.size());
                    
                    //人脸检测、特征点定位、姿态估计
                    //QsFace ret = api.detect("/sdcard/temp.jpg");//对一张本地照片进行人脸分析
                    QsFace face =  api.detectBitmap(bmp); 
                    String label = face.getLabel();
                    int rectLeft = face.getLeft();
                    int rectTop = face.getTop();
                    int rectRight = face.getRight();
                    int rectBottom = face.getBottom();
                    ArrayList<Point> landmarks = face.getFaceLandmarks();
                    Log.i("qsface","=====>"+label+","+rectLeft+","+rectTop+","+rectRight+","+rectBottom);
                    Log.i("qsface","=====>"+landmarks.size());
            
                    //获取68个特征点
                    //详细参考：https://cloud.githubusercontent.com/assets/16308037/24229391/1910e9cc-0fb4-11e7-987b-0fecce2c829e.JPG
                    ArrayList<Point> points = face.getFaceLandmarks();
                     for (Point p : points) {
                     Log.i("p=>", points.toString());
                    }
            
                    //headpose
                    //详细参考：https://www.cnblogs.com/21207-iHome/p/6894128.html
                    Log.i("qsface","===angle==>"+face.getPitch()+","+face.getYaw()+","+face.getRoll());

                    stream.close();
                }
            }catch(Exception ex){
                Log.e("Sys","Error:"+ex.getMessage());
            }          
        }
    };