使用Android opencv-Java进行Facedetection

Question

我想使用Android opencv检测脸部。但是在图像中没有检测到脸部。为了测试我已经在pc中尝试了这个代码，它正在工作。为什么它不适用于Android？我的opencv版本是2.4.9。谢谢。

private void my_opencv() throws IOException
    {
        // TODO Auto-generated method stub


        Utils.bitmapToMat(bitmap, image);
        Log.d("MyTag","open_cv2");
        //Imgproc.cvtColor(image, grayscaleImage, Imgproc.COLOR_RGBA2RGB);



        File cascadeDir = getDir("cascade", Context.MODE_PRIVATE);
        File mCascadeFile = new File(cascadeDir, "lbpcascade_frontalface.xml");
        // Load the cascade classifier             
        CascadeClassifier  faceDetector = new CascadeClassifier(mCascadeFile.getAbsolutePath());
        /**/
        // Detect faces in the image.
        // MatOfRect is a special container class for Rect.
        MatOfRect faceDetections = new MatOfRect();
        faceDetector.detectMultiScale(image, faceDetections);
        Log.d("MyTag","open_cv3");
        Rect rectCrop = null; 
        // Draw a bounding box around each face.
        for (Rect rect : faceDetections.toArray())
        {
            Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new 

                    Scalar(255, 0, 0));
            // for crop face
            rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);   

            Core.putText(image, "Edited by me", new Point(rect.x,rect.y),
                    Core.FONT_HERSHEY_PLAIN, 1.0 ,new  Scalar(0,255,255));
        }


        // Use the classifier to detect faces


     // Save the visualized detection.
        String format = new SimpleDateFormat("yyyyMMddHHmmss",
               java.util.Locale.getDefault()).format(new Date());


        Bitmap bmp = null;
        try {
            bmp = Bitmap.createBitmap(image.cols(), image.rows(), Bitmap.Config.ARGB_8888);
            Utils.matToBitmap(image, bmp);

            ByteArrayOutputStream bytes = new ByteArrayOutputStream();
            bmp.compress(Bitmap.CompressFormat.JPEG, 100, bytes);
            File f = new File( Environment.getExternalStoragePublicDirectory(Environment.DIRECTORY_DCIM) + File.separator + format+".jpg");

            Log.d("MyTag","$$$$$$$$$$"+ Environment.getExternalStoragePublicDirectory(Environment.DIRECTORY_DCIM));
            f.createNewFile();
            FileOutputStream fo = new FileOutputStream(f);
            fo.write(bytes.toByteArray());
            fo.close();

        } catch (CvException e) {
            Log.d(TAG, e.getMessage());
        }


    }

解决了代码：

private void my_opencv() throws IOException
    {
        // TODO Auto-generated method stub

        Utils.bitmapToMat(bitmap, image);
        Log.d("MyTag","open_cv2");
        //Imgproc.cvtColor(image, grayscaleImage, Imgproc.COLOR_RGBA2RGB);

        // load cascade file from application resources
        InputStream is = getResources().openRawResource(
                R.raw.lbpcascade_frontalface);

        File cascadeDir = getDir("cascade", Context.MODE_PRIVATE);
        File mCascadeFile = new File(cascadeDir,
                "lbpcascade_frontalface.xml");
        FileOutputStream os = new FileOutputStream(mCascadeFile);

        byte[] buffer = new byte[4096];
        int bytesRead;
        while ((bytesRead = is.read(buffer)) != -1) 
        {
            os.write(buffer, 0, bytesRead);
        }
        is.close();
        os.close();


        CascadeClassifier  faceDetector = new CascadeClassifier(mCascadeFile.getAbsolutePath());
        //must add this line
        //faceDetector.load( mCascadeFile.getAbsolutePath() );
        /**/
        // Detect faces in the image.
        // MatOfRect is a special container class for Rect.
        MatOfRect faceDetections = new MatOfRect();
        faceDetector.detectMultiScale(image, faceDetections);
        Log.d("MyTag","open_cv3");
        Rect rectCrop = null;

        Rect[] rect = faceDetections.toArray();
        // Draw a bounding box around each face.
//      for ( Rect rect : faceDetections.toArray() )
        for ( int i = 0; i < rect.length; i++ )
        {
            Core.rectangle(image, new Point(rect[i].x, rect[i].y), new Point(rect[i].x + rect[i].width, rect[i].y + rect[i].height), new 
                        Scalar(255, 0, 0));
            // for crop face
            //rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);   

            Core.putText(image, "Edited by me", new Point(rect[i].x,rect[i].y),
                    Core.FONT_HERSHEY_PLAIN, 1.0 ,new  Scalar(0,255,255));
        }


        // Use the classifier to detect faces


     // Save the visualized detection.
        String format = new SimpleDateFormat("yyyyMMddHHmmss",
               java.util.Locale.getDefault()).format(new Date());


        Bitmap bmp = null;
        try {
            bmp = Bitmap.createBitmap(image.cols(), image.rows(), Bitmap.Config.ARGB_8888);
            Utils.matToBitmap(image, bmp);

            ByteArrayOutputStream bytes = new ByteArrayOutputStream();
            bmp.compress(Bitmap.CompressFormat.JPEG, 100, bytes);
            File f = new File( Environment.getExternalStoragePublicDirectory(Environment.DIRECTORY_DCIM) + File.separator + format+".jpg");

            Log.d("MyTag","$$$$$$$$$$"+ Environment.getExternalStoragePublicDirectory(Environment.DIRECTORY_DCIM));
            f.createNewFile();
            FileOutputStream fo = new FileOutputStream(f);
            fo.write(bytes.toByteArray());
            fo.close();

        } 
        catch (CvException e) 
        {
            Log.d(TAG, e.getMessage());
        }


    }