I'm trying to do face detection using this code :
const char *faceCascadeFilename = "lbpcascade_frontalface.xml";     //  LBP face detector.
const char *windowName = "WebcamFaceRec";   // Name shown in the GUI window.
#include <stdio.h>
#include <vector>
#include <string>
#include <iostream>
#include "detectObject.h" 
#include "opencv2/opencv.hpp"
using namespace cv;
using namespace std;
int main()
{
    CascadeClassifier faceCascade;
    CascadeClassifier eyeCascade1;
    CascadeClassifier eyeCascade2;
    Rect faceRect;
    VideoCapture videoCapture ("m.mp4");
    cout << "Face Detection ." << endl;
    cout << "Realtime face detection using LBP " << endl;
    cout << "Compiled with OpenCV version " << CV_VERSION << endl << endl;
    // Load the face and 1 or 2 eye detection XML classifiers.
    initDetectors(faceCascade);
    while (1)
    {
        Mat frame;
        videoCapture>> frame;
        detectLargestObject(frame, faceCascade, faceRect);
        if (faceRect.width > 0)
        {
            cout << "Face Detection ." << endl;
        }
        imshow("video", frame);
        // Press 'c' to escape
        if (waitKey(30) == 'c') break;
    }
    waitKey(0);
    return 0;
}
When I run the code this error displayed and I don't know why :
error LNK2019: unresolved external symbol "void detectLargestObject(class cv::Mat const &,class cv::CascadeClassifier &,class cv::Rect_<int> &,int)
this is the function for detection that I'm calling :
void detectLargestObject(const Mat &img, CascadeClassifier &cascade, Rect &largestObject, int scaledWidth)
{
    int flags = CASCADE_FIND_BIGGEST_OBJECT;
    Size minFeatureSize = Size(20, 20);
    float searchScaleFactor = 1.1f;
    int minNeighbors = 4;
    vector<Rect> objects;
    detectObjectsCustom(img, cascade, objects, scaledWidth, flags, minFeatureSize, searchScaleFactor, minNeighbors);
    if (objects.size() > 0) {
        // Return the only detected object.
        largestObject = (Rect)objects.at(0);
    }
    else {
        largestObject = Rect(-1,-1,-1,-1);
    }
}
 
     
    