c# - Emgu CV -人脸识别代码在EigenObjectRecognizer处停止执行并无错误退出

我正在研究人脸识别，当我运行代码时，它在初始化EigenObjectRecognizer并退出程序的地方停止执行，没有任何错误。以前有人遇到过同样的问题吗?如果你需要额外的代码，我可以张贴更多。我看到我的代码一直在工作，直到识别器使用训练集

中的数据进行训练。

     EigenObjectRecognizer recognizer = new EigenObjectRecognizer(
                       trainingImages.ToArray(),
                        NameLabless.ToArray(),
                        3000,
                       ref termCrit);
                       name = recognizer.Recognize(ExtFaces[faceNo]).ToString();

我用来从训练集加载的代码是

    public FaceRecognizer()
    {
        InitializeComponent();
        try
        {
            ContTrain = ContTrain + 1;
            //Load previous trained and labels for each image from the database Here
            string NameLabelsinfo = File.ReadAllText(Application.StartupPath +
                          "/TrainedFaces/TrainedNameLables.txt");
            string[] NameLabels = NameLabelsinfo.Split('%');
            NumNameLabels = Convert.ToInt16(NameLabels[0]);
            string IDLabelsinfo = File.ReadAllText(Application.StartupPath +
                "/TrainedFaces/TrainedNameLables.txt");
            string[] IDLables = IDLabelsinfo.Split('%');
            NumIDLabels = Convert.ToInt16(IDLables[0]);

            if (NumNameLabels == NumIDLabels)
            {
                ContTrain = NumNameLabels;
                string LoadFaces;
                // Converting the master image to a bitmap
                for (int tf = 1; tf < NumNameLabels + 1; tf++)
                {
                    LoadFaces = String.Format("face{0}.bmp", tf);
                    trainingImages.Add(new Image<Gray, byte>(String.Format("
                    {0}/TrainedFaces/{1}", Application.StartupPath,
                            LoadFaces)));
                    IDLabless.Add(IDLables[tf]);
                    NameLabless.Add(NameLabels[tf]);
                }
            }
        }
        catch (Exception e)
        {
            //MessageBox.Show(e.ToString());
            MessageBox.Show("Nothing in binary database, please add at least a
            face(Simply train the prototype with the Add
                   Face Button).", "Triained faces load", MessageBoxButtons.OK,
                            MessageBoxIcon.Exclamation);
        }
    }

，人脸识别函数如下

      private void RecognizeFaces()
    {
        //detect faces from the gray-scale image and store into an array of type
         //            'var',i.e 'MCvAvgComp[]'
        Image<Gray, byte> grayframe = GetGrayframe();
        //Assign user-defined Values to parameter variables:
        MinNeighbors = int.Parse(comboBoxMinNeigh.Text);  // the 3rd parameter
        WindowsSize = int.Parse(textBoxWinSiz.Text);   // the 5th parameter
        ScaleIncreaseRate = Double.Parse(comboBoxScIncRte.Text); //the 2nd parameter

        var faces = grayframe.DetectHaarCascade(haar, ScaleIncreaseRate, MinNeighbors,
                                HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,
                                new Size(WindowsSize, WindowsSize))[0];
        if (faces.Length > 0)
        {
            Bitmap ExtractedFace;   //empty
            ExtFaces = new Image<Gray, byte>[faces.Length];
            faceNo = 0;
            foreach (var face in faces)
            {
                // ImageFrame.Draw(face.rect, new Bgr(Color.Green), 3);
                t = t + 1;
                //set the size of the empty box(ExtractedFace) which will later
                 //        contain the detected face
                ExtractedFace = new Bitmap(face.rect.Width, face.rect.Height);
                ExtFaces[faceNo] = new Image<Gray, byte>(ExtractedFace);
                    //= newExtractedImage;
                ExtFaces[faceNo] = ExtFaces[faceNo].Resize(100, 100,
                    Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
                //TermCriteria for face recognition with numbers of trained images
                 //             like maxIteration
                MCvTermCriteria termCrit = new MCvTermCriteria(ContTrain, 0.001);
                if (trainingImages.ToArray().Length != 0)
                {
                    //Eigen face recognizer
                    EigenObjectRecognizer recognizer = new EigenObjectRecognizer(
                     trainingImages.ToArray(),
                    NameLabless.ToArray(),
                     3000,
                     ref termCrit);
                     name = recognizer.Recognize(ExtFaces[faceNo]).ToString();
                    stringOutput[faceNo] = name;
                }
                faceNo++;
            }
            pbExtractedFaces.Image = ExtFaces[0].ToBitmap(); //draw the face detected
                     in the 0th (gray) channel with blue
                                color
            t = 0;
            if (stringOutput[0] == null)
                {
                    label1.Text = "Unknown";
                    label9.Text = "";
                }
                //Draw the label for each face detected and recognized
            else
             {
                   label1.Text = "Known";
                   label9.Text = stringOutput[0];
             }
        }
        if (faceNo == 0)
            {
                MessageBox.Show("No face detected");
            }
        else
        {
            btnNextRec.Enabled = true;
            btnPreviousRec.Enabled = true;
        }
    }

当这个人脸识别方法作为一个事件被调用时，它一直工作到EigenObjectRecognizer被训练的点，然后它停止工作(退出运行)，程序完全停止运行。

期待您的回复，谢谢Sisay