‘'class cv：：BackgroundSubtractorMOG2 2’没有名为'operator()‘的成员

Question

我正在尝试编译这个c++应用程序。

int main ()
{
  Mat frame;
  Mat back;
  Mat fore;
  VideoCapture cap1;
  cap1.open(0);  /*to capture from camera*/
  cv::Ptr<BackgroundSubtractorMOG> pMOG = createBackgroundSubtractorMOG();
cv::Ptr<BackgroundSubtractorMOG2> pMOG2 = createBackgroundSubtractorMOG2();
  pMOG2->setNMixtures(10);
  vector < vector < Point > >contours;
  namedWindow ("Frame");
  int i=0;

  for (;;)
    {
    cap1 >> frame;
    pMOG2->operator()(frame, fore);
    pMOG2->getBackgroundImage (back);
    erode (fore, fore, cv::Mat ());
    erode (fore, fore, cv::Mat ());
    dilate (fore, fore, cv::Mat ());
    dilate (fore, fore, cv::Mat ());
    dilate (fore, fore, cv::Mat ());
    findContours (fore, contours, CV_RETR_EXTERNAL,CV_CHAIN_APPROX_NONE);
    drawContours (frame, contours, -1, Scalar (255, 255, 255), 1);
    Scalar color = Scalar(200,200,200);
    int a=0;
    vector<Rect> boundRect( contours.size() );
    for( int i = 0; i < contours.size(); i++ )
      {
           boundRect[i] = boundingRect( contours[i] );
      }
    for( i = 0; i< contours.size(); i++ )
     {
        if(boundRect[i].width>=40 || boundRect[i].height>=40)//eliminates small boxes
            {
                a=a+(boundRect[i].height)*(boundRect[i].width);
             }
        //  cout<<"Net contour area is "<<a<<"\n";
        if(a>=int(frame.rows)*int(frame.cols)/2)//change denominator as per convenience
            {
                putText(frame,"Tampering",Point(5,30),FONT_HERSHEY_SIMPLEX,1,Scalar(0,255,255),2);
                cout<<"\a";
            }
       }
   imshow ("Frame", frame);
   waitKey(10);  
 }

在编译时，我得到了以下错误

错误：

Tampering.cpp:27:21: error：'class cv：：BackgroundSubtractorMOG2 2‘没有名为'operator()’pMOG2 2->operator()的成员(frame，fore)；

我的opencv版本-3.3.0

提前感谢

Answer 1

首先，感谢您订阅我的存储库：https://github.com/SaranshKejriwal/Tampering-Detection/blob/master/Tampering%20main/Tampering.cpp

在我的例子中，我使用了openCV 2.4.5，它在BackgroundSubtractorMOG2类中具有operator()方法。

由于您使用的是openCV 3.3.0，我鼓励您查看文档，以验证该方法是否仍然存在