bool myDetector(cv::InputArray image, cv::OutputArray faces, cv::CascadeClassifier *face_cascade){
  cv::Mat gray;

  if (image.channels() > 1)
    cvtColor(image, gray, CV_BGR2GRAY);
  else
    gray = image.getMat().clone();

  equalizeHist(gray, gray);

  std::vectorcv::Rect faces_;
  face_cascade->detectMultiScale(gray, faces_, 1.4, 2, cv::CASCADE_SCALE_IMAGE, cv::Size(30, 30));
  cv::Mat(faces_).copyTo(faces);
  return true;
}

(UIImage *) detectFacialLandmark:(UIImage *) image{
  double CurrentTime = CACurrentMediaTime();

  NSString *pathToFaceCascade = [[NSBundle mainBundle] pathForResource:@"lbpcascade_frontalface" ofType:@"xml"];

  cv::Mat faceImage;
  UIImageToMat(image, faceImage);

  cv::CascadeClassifier face_cascade;
  face_cascade.load([pathToFaceCascade UTF8String]);
  cv::face::FacemarkKazemi::Params params;
  cv::Ptrcv::face::FacemarkKazemi facemark = cv::face::FacemarkKazemi::create(params);
  facemark->setFaceDetector((cv::face::FN_FaceDetector)myDetector, &face_cascade);
  facemark->loadModel("load model");
  std::vectorcv::Rect faces;
  resize(faceImage,faceImage,cv::Size(460,460), 0, 0, cv::INTER_LINEAR_EXACT);
  facemark->getFaces(faceImage,faces);
  std::vector< std::vectorcv::Point2f > shapes;
  if(facemark->fit(faceImage,faces,shapes))
  {
    for( size_t i = 0; i < faces.size(); i++ )
    {
      cv::rectangle(faceImage, faces[i], cvScalar(255, 0, 0));
    }
    for(unsigned long i=0;i<faces.size();i++){
      for(unsigned long k=0;k<shapes[i].size();k++)
        cv::circle(faceImage,shapes[i][k],5,cv::Scalar(0,0,255),cv::FILLED);
    }
  }

  UIImage *returnImage = MatToUIImage(faceImage);
  NSLog(@"test processing time : %f", (CACurrentMediaTime() - CurrentTime));

        return returnImage;
}

我在做iOS应用程序的项目。在这个项目中，我使用OpenCV。具体来说，我增加了OpenCV_contrib模块来获取人脸标志点的信息。
在应用OpenCV_contrib的过程中，我遇到了一个问题。facemark->loadModel（“load model”）;为了检测面部标记，我必须找到模型文件。
我想知道如何找到“facemark->loadModel（“loadmodel”）的模型文件;”