Ошибка Java OpenCV: утверждение не удалось

Question

Мне нужна небольшая помощь с тем, почему я получаю эту ошибку:

OpenCV Error: Assertion failed (clEnqueueReadBuffer(q, (cl_mem)u->handle, CL_TRUE, 0, u->size, alignedPtr.getAlignedPtr(), 0, 0, 0) == CL_SUCCESS) in cv::ocl::OpenCLAllocator::map, file ..\..\..\..\opencv\modules\core\src\ocl.cpp, line 3961
Exception in thread "main" CvException [org.opencv.core.CvException: cv::Exception: ..\..\..\..\opencv\modules\core\src\ocl.cpp:3961: error: (-215) clEnqueueReadBuffer(q, (cl_mem)u->handle, CL_TRUE, 0, u->size, alignedPtr.getAlignedPtr(), 0, 0, 0) == CL_SUCCESS in function cv::ocl::OpenCLAllocator::map
]
    at org.opencv.objdetect.CascadeClassifier.detectMultiScale_1(Native Method)
    at org.opencv.objdetect.CascadeClassifier.detectMultiScale(CascadeClassifier.java:176)
    at test.processor.detect(window.java:66)
    at test.window.main(window.java:100)

Я попробовал поискать в Google и не нашел хороших решений. Я установил OpenCV в buildpath и все, плюс он загружает frontalface.xml, что, по мнению некоторых, может быть проблемой.

При запуске запускается JPanel, а затем появляется ошибка в этой строке в коде:

face_cascade.detectMultiScale(mGrey, faces); 

Любая помощь будет оценена! Благодарю.

package test;

 /*  
  * Captures the camera stream with OpenCV  
  * Search for the faces  
  * Display a circle around the faces using Java
  */  
 import java.awt.*;  
 import java.awt.image.BufferedImage;  
 import java.awt.image.DataBufferByte;  
 import javax.swing.*;  
 import org.opencv.core.Mat;  
 import org.opencv.core.MatOfRect;  
 import org.opencv.core.Point;  
 import org.opencv.core.Rect;  
 import org.opencv.videoio.VideoCapture;  
 import org.opencv.imgproc.Imgproc;  
 import org.opencv.objdetect.CascadeClassifier;  
 class My_Panel extends JPanel{  
      private static final long serialVersionUID = 1L;  
      private BufferedImage image;  
      // Create a constructor method  
      public My_Panel(){  
           super();   
      }  
      /**  
       * Converts/writes a Mat into a BufferedImage.  
       *   
       * @param matrix Mat of type CV_8UC3 or CV_8UC1  
       * @return BufferedImage of type TYPE_3BYTE_BGR or TYPE_BYTE_GRAY  
       */  
      public boolean MatToBufferedImage(Mat matBGR){  
           long startTime = System.nanoTime();  
           int width = matBGR.width(), height = matBGR.height(), channels = matBGR.channels() ;  
           byte[] sourcePixels = new byte[width * height * channels];  
           matBGR.get(0, 0, sourcePixels);  
           // create new image and get reference to backing data  
           image = new BufferedImage(width, height, BufferedImage.TYPE_3BYTE_BGR);  
           final byte[] targetPixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();  
           System.arraycopy(sourcePixels, 0, targetPixels, 0, sourcePixels.length);  
           long endTime = System.nanoTime();  
           System.out.println(String.format("Elapsed time: %.2f ms", (float)(endTime - startTime)/1000000));  
           return true;  
      }  
      public void paintComponent(Graphics g){  
           super.paintComponent(g);   
           if (this.image==null) return;  
            g.drawImage(this.image,10,10,this.image.getWidth(),this.image.getHeight(), null);  
           //g.drawString("This is my custom Panel!",10,20);  
      }  
 }  
 class processor {  
      private CascadeClassifier face_cascade;  
      // Create a constructor method  
      public processor(){  
           face_cascade=new CascadeClassifier("C:\\Users\\Kladnik\\Downloads\\opencv\\sources\\data\\lbpcascades\\lbpcascade_frontalface.xml");  
      }  
      public Mat detect(Mat inputframe){  
           Mat mRgba=new Mat();  
           Mat mGrey=new Mat();  
           MatOfRect faces = new MatOfRect();  
           inputframe.copyTo(mRgba);  
           inputframe.copyTo(mGrey);  
           Imgproc.cvtColor( mRgba, mGrey, Imgproc.COLOR_BGR2GRAY);  
           Imgproc.equalizeHist( mGrey, mGrey );  
           face_cascade.detectMultiScale(mGrey, faces);  
           System.out.println(String.format("Detected %s faces", faces.toArray().length));  
           for(Rect rect:faces.toArray())  
           {  
                Point center= new Point(rect.x + rect.width*0.5, rect.y + rect.height*0.5 );  
                //Core.ellipse( mRgba, center, new Size( rect.width*0.5, rect.height*0.5), 0, 0, 360, new Scalar( 255, 0, 255 ), 4, 8, 0 );  
           }  
           return mRgba;  
      }  
 }  
 public class window {  
      public static void main(String arg[]){  
       // Load the native library.  
       System.loadLibrary("opencv_java300");       
       String window_name = "Capture - Face detection";  
       JFrame frame = new JFrame(window_name);  
    frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);  
    frame.setSize(400,400);  
    processor my_processor=new processor();  
    My_Panel my_panel = new My_Panel();  
    frame.setContentPane(my_panel);       
    frame.setVisible(true);        
       //-- 2. Read the video stream  
        Mat webcam_image=new Mat();  
        VideoCapture capture =new VideoCapture(0);   
    if( capture.isOpened())  
           {  
            while( true )  
            {  
                 capture.read(webcam_image);  
              if( !webcam_image.empty() )  
               {   
                    frame.setSize(webcam_image.width()+40,webcam_image.height()+60);  
                    //-- 3. Apply the classifier to the captured image  
                    webcam_image=my_processor.detect(webcam_image);  
                   //-- 4. Display the image  
                    my_panel.MatToBufferedImage(webcam_image); // We could look at the error...  
                    my_panel.repaint();   
               }  
               else  
               {   
                    System.out.println(" --(!) No captured frame -- Break!");   
                    break;   
               }  
              }  
             }  
             return;  
      }  
 }