如何将屏幕方向从横向更改为纵向？

我已经应用了以下post答案，但无法解决问题。 OpenCV摄像头方向问题我得到以下exception。

Exception locking surface java.lang.IllegalArgumentException at android.view.Surface.nativeLockCanvas(Native Method) at android.view.Surface.lockCanvas(Surface.java:264) at android.view.SurfaceView$4.internalLockCanvas(SurfaceView.java:825) at android.view.SurfaceView$4.lockCanvas(SurfaceView.java:793) at org.opencv.android.CameraBridgeViewBase.deliverAndDrawFrame(CameraBridgeViewBase.java:403) at org.opencv.android.JavaCameraView$CameraWorker.run(JavaCameraView.java:365) at java.lang.Thread.run(Thread.java:818) 

这是opencv库函数抛出exception：

 protected void deliverAndDrawFrame(CvCameraViewFrame frame) { Mat modified; if (mListener != null) { modified = mListener.onCameraFrame(frame); } else { modified = frame.rgba(); } boolean bmpValid = true; Canvas canvas = null ; if (modified != null) { try { Utils.matToBitmap(modified, mCacheBitmap); canvas = getHolder().lockCanvas(); } catch(Exception e) { Log.e(TAG, "Mat type: " + modified); Log.e(TAG, "Bitmap type: " + mCacheBitmap.getWidth() + "*" + mCacheBitmap.getHeight()); Log.e(TAG, "Utils.matToBitmap() throws an exception: " + e.getMessage()); bmpValid = false; } } if (bmpValid && mCacheBitmap != null) { if (canvas != null) { canvas.drawColor(0, android.graphics.PorterDuff.Mode.CLEAR); Log.d(TAG, "mStretch value: " + mScale); if (mScale != 0) { canvas.drawBitmap(mCacheBitmap, new Rect(0,0,mCacheBitmap.getWidth(), mCacheBitmap.getHeight()), new Rect((int)((canvas.getWidth() - mScale*mCacheBitmap.getWidth()) / 2), (int)((canvas.getHeight() - mScale*mCacheBitmap.getHeight()) / 2), (int)((canvas.getWidth() - mScale*mCacheBitmap.getWidth()) / 2 + mScale*mCacheBitmap.getWidth()), (int)((canvas.getHeight() - mScale*mCacheBitmap.getHeight()) / 2 + mScale*mCacheBitmap.getHeight())), null); } else { canvas.drawBitmap(mCacheBitmap, new Rect(0,0,mCacheBitmap.getWidth(), mCacheBitmap.getHeight()), new Rect((canvas.getWidth() - mCacheBitmap.getWidth()) / 2, (canvas.getHeight() - mCacheBitmap.getHeight()) / 2, (canvas.getWidth() - mCacheBitmap.getWidth()) / 2 + mCacheBitmap.getWidth(), (canvas.getHeight() - mCacheBitmap.getHeight()) / 2 + mCacheBitmap.getHeight()), null); } if (mFpsMeter != null) { mFpsMeter.measure(); mFpsMeter.draw(canvas, 20, 30); } getHolder().unlockCanvasAndPost(canvas); } } } 

这是我的主要活动，我使用opencv库来调用此方法：

 package org.opencv.samples.facedetect; import android.Manifest; import android.annotation.SuppressLint; import android.content.Context; import android.content.Intent; import android.content.SharedPreferences; import android.content.pm.PackageManager; import android.graphics.Camera; import android.media.AudioManager; import android.net.ConnectivityManager; import android.os.Build; import android.os.Bundle; import android.preference.PreferenceManager; import android.provider.Settings; import android.support.v4.app.ActivityCompat; import android.support.v4.app.FragmentManager; import android.support.v4.app.FragmentTransaction; import android.support.v4.content.ContextCompat; import android.support.v7.app.AppCompatActivity; import android.support.v7.widget.Toolbar; import android.util.Log; import android.view.Menu; import android.view.MenuItem; import android.view.View; import android.view.WindowManager; import android.widget.Button; import android.widget.TextView; import android.widget.Toast; import org.opencv.android.BaseLoaderCallback; import org.opencv.android.CameraBridgeViewBase; import org.opencv.android.LoaderCallbackInterface; import org.opencv.android.OpenCVLoader; import org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.core.MatOfRect; import org.opencv.core.Rect; import org.opencv.core.Scalar; import org.opencv.core.Size; import org.opencv.imgproc.Imgproc; import org.opencv.objdetect.CascadeClassifier; import org.opencv.samples.facedetect.DetectionBasedTracker; import java.io.File; import java.io.FileOutputStream; import java.io.IOException; import java.io.InputStream; import java.lang.reflect.Field; import java.lang.reflect.Method; import java.text.DateFormat; import java.util.ArrayList; import java.util.Date; import java.util.List; public class FdActivity extends AppCompatActivity implements CameraBridgeViewBase.CvCameraViewListener2 , SharedPreferences.OnSharedPreferenceChangeListener { private static final String TAG = "OCVSample::Activity"; private static final Scalar FACE_RECT_COLOR = new Scalar(0, 255, 0, 255); public static final int JAVA_DETECTOR = 0; public static final int NATIVE_DETECTOR = 1; //private MenuItem mItemExit; private MenuItem mItemSettings ; private MenuItem showCounterValues ; private TextView faceCounterTv ; private Button resetButton ; private Button savebtn ; private Button quitButton ; private Mat mRgba; private Mat mGray; private File mCascadeFile; private CascadeClassifier mJavaDetector; private DetectionBasedTracker mNativeDetector; private int mDetectorType = JAVA_DETECTOR; // private String[] mDetectorName; private float mRelativeFaceSize = 0.2f; private int mAbsoluteFaceSize = 0; private float scaleFactor ; private int minNeighbour ; private int delayTime ; private boolean isFaces_detect ; private boolean isFaces_detect_pre ; private boolean count_Face_Logic ; private float countFace = 0.0f ; private long startTime ; private AudioManager mAudioManager ; private static final int MY_PERMISSIONS_REQUEST_ACCOUNTS = 1; private CameraBridgeViewBase mOpenCvCameraView; private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) { @Override public void onManagerConnected(int status) { switch (status) { case LoaderCallbackInterface.SUCCESS: { Log.i(TAG, "OpenCV loaded successfully"); // Load native library after(!) OpenCV initialization System.loadLibrary("detectionBasedTracker"); try { // load cascade file from application resources InputStream is = getResources().openRawResource(R.raw.haarcascade_frontalface_default); File cascadeDir = getDir("cascade", Context.MODE_PRIVATE); mCascadeFile = new File(cascadeDir, "haarcascade_frontalface_default.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(); mJavaDetector = new CascadeClassifier(mCascadeFile.getAbsolutePath()); if (mJavaDetector.empty()) { Log.e(TAG, "Failed to load cascade classifier"); mJavaDetector = null; } else Log.i(TAG, "Loaded cascade classifier from " + mCascadeFile.getAbsolutePath()); mNativeDetector = new DetectionBasedTracker(mCascadeFile.getAbsolutePath(), 0); cascadeDir.delete(); } catch (IOException e) { e.printStackTrace(); Log.e(TAG, "Failed to load cascade. Exception thrown: " + e); } mOpenCvCameraView.enableView(); } break; default: { super.onManagerConnected(status); } break; } } }; public FdActivity() { isFaces_detect = false ; isFaces_detect_pre = false ; count_Face_Logic = true ; startTime = System.currentTimeMillis(); mAbsoluteFaceSize = 200 ; scaleFactor = 1.2f ; minNeighbour = 1 ; delayTime = 1 ; Log.i(TAG, "Instantiated new " + this.getClass()); } /** * Called when the activity is first created. */ @Override public void onCreate(Bundle savedInstanceState) { Log.i(TAG, "called onCreate"); super.onCreate(savedInstanceState); //getWindow().setFlags(WindowManager.LayoutParams.FLAG_FULLSCREEN, WindowManager.LayoutParams.FLAG_FULLSCREEN); getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON); setContentView(R.layout.face_detect_surface_view); setSupportActionBar((Toolbar) findViewById(R.id.toolbar)); mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.fd_activity_surface_view); faceCounterTv = (TextView) findViewById(R.id.faceCountertv); resetButton = (Button) findViewById(R.id.resetbtn); savebtn = (Button) findViewById(R.id.savebtn); quitButton = (Button) findViewById(R.id.quitbtn); mAudioManager = (AudioManager) getSystemService(AUDIO_SERVICE); resetButton.setOnClickListener(new View.OnClickListener() { @Override public void onClick(View view) { countFace = 0 ; Toast.makeText(getApplicationContext() , "Reset the Face Counter" , Toast.LENGTH_LONG).show(); } }); savebtn.setOnClickListener(new View.OnClickListener() { @Override public void onClick(View view) { saveFaceCounter(); Toast.makeText(getApplicationContext() , "Counter Value Saved" , Toast.LENGTH_SHORT).show(); } }); quitButton.setOnClickListener(new View.OnClickListener() { @Override public void onClick(View view) { System.exit(0); } }); mOpenCvCameraView.setVisibility(CameraBridgeViewBase.VISIBLE); // mOpenCvCameraView.setAlpha(0); mOpenCvCameraView.setCameraIndex(1); mOpenCvCameraView.setCvCameraViewListener(this); //if (checkAndRequestPermissions()){ // Toast.makeText(getApplicationContext() , "OnCreate" , Toast.LENGTH_LONG).show(); //setSharedPreferences(); //} // check current state first // boolean state = isAirplaneMode(); // // toggle the state // if (state) // toggleAirplaneMode(0, state); // else // toggleAirplaneMode(1, state); } @Override public void onPause() { super.onPause(); if (mOpenCvCameraView != null) mOpenCvCameraView.disableView(); } @Override public void onResume() { super.onResume(); if (!OpenCVLoader.initDebug()) { Log.d(TAG, "Internal OpenCV library not found. Using OpenCV Manager for initialization"); OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_3_0_0, this, mLoaderCallback); } else { Log.d(TAG, "OpenCV library found inside package. Using it!"); mLoaderCallback.onManagerConnected(LoaderCallbackInterface.SUCCESS); } } public void onDestroy() { super.onDestroy(); mOpenCvCameraView.disableView(); PreferenceManager.getDefaultSharedPreferences(this).unregisterOnSharedPreferenceChangeListener(this); } public void onCameraViewStarted(int width, int height) { mGray = new Mat(); mRgba = new Mat(); } public void onCameraViewStopped() { mGray.release(); mRgba.release(); } public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) { mRgba = inputFrame.rgba(); // Mat mRgbaT = mRgba.t(); // Core.flip(mRgba.t(), mRgbaT, 1); // Imgproc.resize(mRgbaT, mRgbaT, mRgba.size()); mGray = inputFrame.gray(); //Core.transpose(mGray, mGray); //Core.flip(mGray, mGray, 0); if (mAbsoluteFaceSize == 0) { int height = mGray.rows(); if (Math.round(height * mRelativeFaceSize) > 0) { mAbsoluteFaceSize = Math.round(height * mRelativeFaceSize); } mNativeDetector.setMinFaceSize(mAbsoluteFaceSize); } MatOfRect faces = new MatOfRect(); if (mDetectorType == JAVA_DETECTOR) { if (mJavaDetector != null) mJavaDetector.detectMultiScale(mGray, faces, scaleFactor, minNeighbour, 2, // TODO: objdetect.CV_HAAR_SCALE_IMAGE new Size(mAbsoluteFaceSize, mAbsoluteFaceSize), new Size()); } else if (mDetectorType == NATIVE_DETECTOR) { if (mNativeDetector != null) mNativeDetector.detect(mGray, faces); } else { Log.e(TAG, "Detection method is not selected!"); } Rect[] facesArray = faces.toArray(); for (int i = 0; i  face --> no detected face (count as 1) if (faces.empty()){ isFaces_detect = isFaces_detect_pre = false ; } else{ isFaces_detect = true ; } // Only count when previous frame = 0 and current frame = 1. Eliminate counting when successive frame have face detected if ((isFaces_detect_pre == false) && (isFaces_detect == true) && (count_Face_Logic == true)){ countFace += 0.25 ; // four times it detect face equal to 1 startTime = System.currentTimeMillis(); // store new time value so that it do not count every miliseconds isFaces_detect_pre = true ; Log.d(TAG , String.valueOf(countFace)); } if ((System.currentTimeMillis() - startTime) < delayTime){ // to make sure it doesnt count every frame, buffer of 1 seconds count_Face_Logic = false ; } else{ count_Face_Logic = true ; } // }while(!isAppExit); } } 

我怎样摆脱这个例外？