我需要一些帮助来了解为什么会出现此错误：
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)
我尝试谷歌搜索并没有提出好的解决方案。我确实在构建路径和所有内容中设置了 OpenCV，而且它加载了有人说可能是问题的 frontalface.xml。
运行时启动 JPanel，然后代码中的这一行出现错误：
face_cascade.detectMultiScale(mGrey, faces);
任何帮助，将不胜感激！谢谢。
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;
}
}