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Open Source Code Error: Expected Declaration before '}' token

I am using the source code from this tutorial: http://docs.opencv.org/trunk/modules/contrib/doc/facerec/tutorial/facerec_video_recognition.html and when I try to run the code after fixing a few paths, an error comes up saying there is an "Expected Declaration before'}' token. I looked through the code to find extra brackets but I could not find any. How should I fix this? (Edited Code below)

static void read_csv(const string& filename, vector<mat>& images, vector<int>& labels, char separator = ';') { std::ifstream file(filename.c_str(), ifstream::in); if (!file) { string error_message = "No valid input file was given, please check the given filename."; CV_Error(CV_StsBadArg, error_message); } string line, path, classlabel; while (getline(file, line)) { stringstream liness(line); getline(liness, path, separator); getline(liness, classlabel); if(!path.empty() && !classlabel.empty()) { images.push_back(imread(path, 0)); labels.push_back(atoi(classlabel.c_str())); } } }

int main(int argc, const char *argv[]) { if (argc != 4) { cout << "usage: " << argv[0] << " <c: opencv="" sources="" data="" haarcascades="" haarcascade_frontalface_alt_tree=""> <c: opencv="" csv.ext=""> <usb vid_04f2&amp;pid_b446&amp;mi_00="" 6&amp;2eb9c0d0&amp;0&amp;0000="">" << endl; cout << "\t <c: opencv="" sources="" data="" haarcascades="" haarcascade_frontalface_alt_tree="">" << endl; cout << "\t <c: opencv="" csv.ext="">" << endl; cout << "\t <usb vid_04f2&amp;pid_b446&amp;mi_00="" 6&amp;2eb9c0d0&amp;0&amp;0000="">" << endl; exit(1); } string fn_haar = string(argv[1]); string fn_csv = string(argv[2]); int deviceId = atoi(argv[3]); vector<mat> images; vector<int> labels;

try {
    read_csv(fn_csv, images, labels);
} catch (cv::Exception& e) {
    cerr << "Error opening file \"" << fn_csv << "\". Reason: " << e.msg << endl;

    exit(1);
}

int im_width = images[0].cols;
int im_height = images[0].rows;

Ptr<FaceRecognizer> model = createEigenFaceRecognizer();
model->train(images, labels);

CascadeClassifier haar_cascade;
haar_cascade.load(fn_haar);
VideoCapture cap(deviceId);
if(!cap.isOpened()) {
    cerr << "Capture Device ID " << deviceId << "cannot be opened." << endl;
    return -1;
}
Mat frame;
for(;;) {
    cap >> frame;
    Mat original = frame.clone();
    Mat gray;
    cvtColor(original, gray, CV_BGR2GRAY);
    vector< Rect_<int> > faces;
    haar_cascade.detectMultiScale(gray, faces);
    for(int i = 0; i < faces.size(); i++) {
        Rect face_i = faces[i];
        Mat face = gray(face_i);
        Mat face_resized;
        cv::resize(face, face_resized, Size(im_width, im_height), 1.0, 1.0, INTER_CUBIC);
        int prediction = model->predict(face_resized);
        rectangle(original, face_i, CV_RGB(0, 255,0), 1);
        string box_text = format("Prediction = %d", prediction);
        int pos_x = std::max(face_i.tl().x - 10, 0);
        int pos_y = std::max(face_i.tl().y - 10, 0);
        putText(original, box_text, Point(pos_x, pos_y), FONT_HERSHEY_PLAIN, 1.0, CV_RGB(0,255,0), 2.0);
    }
    imshow("face_recognizer", original);
    char key = (char) waitKey(20);
    if(key == 27)
        break;
}
return 0;

}

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No.2 Revision

updated 2014-11-24 01:50:57 -0600

berak gravatar image

Open Source Code Error: Expected Declaration before '}' token

I am using the source code from this tutorial: http://docs.opencv.org/trunk/modules/contrib/doc/facerec/tutorial/facerec_video_recognition.html and when I try to run the code after fixing a few paths, an error comes up saying there is an "Expected Declaration before'}' token. I looked through the code to find extra brackets but I could not find any. How should I fix this? (Edited Code below)

static void read_csv(const string& filename, vector<mat>& vector<Mat>& images, vector<int>& labels, char separator = ';') {
    std::ifstream file(filename.c_str(), ifstream::in);
    if (!file) {
        string error_message = "No valid input file was given, please check the given filename.";
        CV_Error(CV_StsBadArg, error_message);
    }
    string line, path, classlabel;
    while (getline(file, line)) {
        stringstream liness(line);
        getline(liness, path, separator);
        getline(liness, classlabel);
        if(!path.empty() && !classlabel.empty()) {
            images.push_back(imread(path, 0));
            labels.push_back(atoi(classlabel.c_str()));
        }
    }
}

} int main(int argc, const char *argv[]) { if (argc != 4) { cout << "usage: " << argv[0] << " <c: opencv="" sources="" data="" haarcascades="" haarcascade_frontalface_alt_tree=""> <c: opencv="" csv.ext=""> <usb vid_04f2&amp;pid_b446&amp;mi_00="" 6&amp;2eb9c0d0&amp;0&amp;0000="">" <C:/OpenCV/sources/data/haarcascades/haarcascade_frontalface_alt_tree> <C:/OpenCV/csv.ext> <USB/VID_04F2&PID_B446&MI_00/6&2EB9C0D0&0&0000>" << endl; cout << "\t <c: opencv="" sources="" data="" haarcascades="" haarcascade_frontalface_alt_tree="">" <C:/OpenCV/sources/data/haarcascades/haarcascade_frontalface_alt_tree>" << endl; cout << "\t <c: opencv="" csv.ext="">" <C:/OpenCV/csv.ext>" << endl; cout << "\t <usb vid_04f2&amp;pid_b446&amp;mi_00="" 6&amp;2eb9c0d0&amp;0&amp;0000="">" <USB/VID_04F2&PID_B446&MI_00/6&2EB9C0D0&0&0000>" << endl; exit(1); } string fn_haar = string(argv[1]); string fn_csv = string(argv[2]); int deviceId = atoi(argv[3]); vector<mat> vector<Mat> images; vector<int> labels;

labels;

    try {
     read_csv(fn_csv, images, labels);
 } catch (cv::Exception& e) {
     cerr << "Error opening file \"" << fn_csv << "\". Reason: " << e.msg << endl;

     exit(1);
}

    }

    int im_width = images[0].cols;
 int im_height = images[0].rows;

 Ptr<FaceRecognizer> model = createEigenFaceRecognizer();
 model->train(images, labels);

 CascadeClassifier haar_cascade;
 haar_cascade.load(fn_haar);
 VideoCapture cap(deviceId);
 if(!cap.isOpened()) {
     cerr << "Capture Device ID " << deviceId << "cannot be opened." << endl;
     return -1;
}
    }
    Mat frame;
 for(;;) {
     cap >> frame;
     Mat original = frame.clone();
     Mat gray;
     cvtColor(original, gray, CV_BGR2GRAY);
     vector< Rect_<int> > faces;
     haar_cascade.detectMultiScale(gray, faces);
     for(int i = 0; i < faces.size(); i++) {
         Rect face_i = faces[i];
         Mat face = gray(face_i);
         Mat face_resized;
         cv::resize(face, face_resized, Size(im_width, im_height), 1.0, 1.0, INTER_CUBIC);
         int prediction = model->predict(face_resized);
         rectangle(original, face_i, CV_RGB(0, 255,0), 1);
         string box_text = format("Prediction = %d", prediction);
         int pos_x = std::max(face_i.tl().x - 10, 0);
         int pos_y = std::max(face_i.tl().y - 10, 0);
         putText(original, box_text, Point(pos_x, pos_y), FONT_HERSHEY_PLAIN, 1.0, CV_RGB(0,255,0), 2.0);
    }
    }
        imshow("face_recognizer", original);
     char key = (char) waitKey(20);
     if(key == 27)
         break;
}
    }
    return 0;
}

}