Question

我一直在关注如何在android studio中使用opencv和ndk的一些教程。我已经执行了一些youtube频道教程。很可能，我一直坚持这个问题一段时间了这是详细的错误：

    Process: medianet.com.helloopencv, PID: 17079
                                               java.lang.UnsatisfiedLinkError: No implementation found for long org.opencv.core.Mat.n_Mat(int, int, int) (tried Java_org_opencv_core_Mat_n_1Mat and Java_org_opencv_core_Mat_n_1Mat__III)
          at org.opencv.core.Mat.n_Mat(Native Method)
       at org.opencv.core.Mat.<init>(Mat.java:37)
        at medianet.com.helloopencv.MainActivity.onCameraViewStarted(MainActivity.java:95)

这是我的cpp文件，它应该检测人脸。这是一个来自opencv.org的简单代码：

   #include "medianet_com_helloopencv_OpencvClass.h"
JNIEXPORT void JNICALL             Java_medianet_com_helloopencv_OpencvClass_faceDetection
  (JNIEnv *, jclass, jlong addRgba){
  Mat& frame= *(Mat*) addRgba;

  detect(frame);
  }

  void detect(Mat& frame){

  String face_cascade_name =                 "/storage/emulated/0/data/haarcascade_frontalface_alt.xml";
  String eyes_cascade_name = "/storage/emulated/0/data/haarcascade_eye_tree_eyeglasses.xml";
  CascadeClassifier face_cascade;
   CascadeClassifier eyes_cascade;
   if( !face_cascade.load( face_cascade_name ) ){ printf("--(!)Error         loading\n"); return ; };
   if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error         loading\n"); return ; };

 std::vector<Rect> faces;
  Mat frame_gray;

  cvtColor( frame, frame_gray, CV_BGR2GRAY );
  equalizeHist( frame_gray, frame_gray );

  //-- Detect faces
  face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CV_HAAR_SCALE_IMAGE, Size(30, 30) );

  for( size_t i = 0; i < faces.size(); i++ )
  {
    Point center( faces[i].x + faces[i].width*0.5, faces[i].y +     faces[i].height*0.5 );
    ellipse( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 255 ), 4, 8, 0 );

        Mat faceROI = frame_gray( faces[i] );
    std::vector<Rect> eyes;

    //-- In each face, detect eyes
    eyes_cascade.detectMultiScale( faceROI, eyes, 1.1, 2, 0         |CV_HAAR_SCALE_IMAGE, Size(30, 30) );

for( size_t j = 0; j < eyes.size(); j++ )
 {
   Point center( faces[i].x + eyes[j].x + eyes[j].width*0.5, faces[i].y + eyes[j].y + eyes[j].height*0.5 );
   int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
   circle( frame, center, radius, Scalar( 255, 0, 0 ), 4, 8, 0 );
     }
  }

}

她是我的java课程。这个类是我的主要活动，它将启动相机并调用本机脚本中实现的方法，该脚本将检测到面部

    public class MainActivity extends AppCompatActivity implements
    CameraBridgeViewBase.CvCameraViewListener2 {
private static final String TAG = "MainActivity";
JavaCameraView javaCameraView;
Mat mRgba/*, imggray, imgCanny*/;
BaseLoaderCallback mloderCallback = new BaseLoaderCallback(this) {
    @Override
    public void onManagerConnected(int status) {
        switch (status) {
            case BaseLoaderCallback.SUCCESS: {
                javaCameraView.enableView();
                break;
            }
            default: {
                super.onManagerConnected(status);
                break;
            }
        }
    }
};


@Override
protected void onCreate(Bundle savedInstanceState) {
    super.onCreate(savedInstanceState);
    setContentView(R.layout.activity_main);
    javaCameraView =  findViewById(R.id.cameraview);

    initOpencv();

    /* set for front camera
    * if index=0 then it s back camera
    * else it s front camera
     */
    javaCameraView.setCameraIndex(1);


    javaCameraView.setVisibility(SurfaceView.VISIBLE);
    javaCameraView.setCvCameraViewListener(this);


}

@Override
protected void onPause() {
    super.onPause();
    if (javaCameraView != null) {
        javaCameraView.disableView();
    }
}


@Override
protected void onDestroy() {
    super.onDestroy();
    if (javaCameraView != null) {
        javaCameraView.disableView();
    }
}

@Override
protected void onResume() {
    super.onResume();
        initOpencv();
}

@Override
public void onCameraViewStarted(int width, int height) {
    mRgba = new Mat(height, width, CvType.CV_8UC4);
  /*  imggray=new Mat(height, width, CvType.CV_8UC1);
    imgCanny=new Mat(height, width, CvType.CV_8UC1);
    getWindow().setFlags(WindowManager.LayoutParams.FLAG_FULLSCREEN, WindowManager.LayoutParams.FLAG_FULLSCREEN);
    getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);*/

}

@Override
public void onCameraViewStopped() {
    mRgba.release();

}
Display display;

@Override
public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
    mRgba = inputFrame.rgba();
    OpencvClass.faceDetection(mRgba.getNativeObjAddr());


    // return dummy value for compiler's sake
    return mRgba;
}



// initialisation opencv called in on activity start et on resume
private void initOpencv(){


    if (!OpenCVLoader.initDebug()) {
        Log.d(TAG, "fail firas");
        mloderCallback.onManagerConnected(LoaderCallbackInterface.SUCCESS);


    } else {
        Log.d(TAG, "sucess firas");
        OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_3_0_0, this, mloderCallback);


    }

}
}

java.lang.UnsatisfiedLinkError：找不到长的org.opencv.core.Mat.n_Mat（int，int，int）的实现

0 个答案: