deepmore's profile - activity

when u close the wifi it's totally normal for it to crash because you're using an ip camera !! without wifi you will have no access on it.

So i'm currently working on a project that needs to do a facial recognition on rtsp ip cam , i managed to get the rtsp feed with no problems, but when it comes to applying the face recognition the video feed gets too slow and shows a great delay, i even used multithreading to make it better but with no success,here is my code i'm still a beginner in multi threading matters so any help would be appreciated.

 #include <iostream>
#include <thread>
#include "opencv2/opencv.hpp"

#include <vector>
using namespace std;
using namespace cv;
void detect(Mat img, String strCamera) {
    string cascadeName1 = "C:\\ocv3.2\\Build\\install\\etc\\haarcascades\\haarcascade_frontalface_alt.xml";
    CascadeClassifier facedetect;
    bool loaded1 = facedetect.load(cascadeName1);
    Mat original;
    img.copyTo(original);
    vector<Rect> human;
    cvtColor(img, img, CV_BGR2GRAY);
    equalizeHist(img, img);
    facedetect.detectMultiScale(img, human, 1.1, 2, 0 | 1, Size(40, 80), Size(400, 480));
    if (human.size() > 0)
    {
        for (int gg = 0; gg < human.size(); gg++)
        {
            rectangle(original, human[gg].tl(), human[gg].br(), Scalar(0, 0, 255), 2, 8, 0);
        }
    }
    imshow("Detect " + strCamera, original);
    int key6 = waitKey(40);
    //End of the detect
}
void stream(String strCamera) {
    VideoCapture cap(strCamera);
    if (cap.isOpened()) {
        while (true) {
            Mat frame;
            cap >> frame;
            resize(frame, frame, Size(640, 480));
            detect(frame, strCamera);
        }
    }
}
int main() {
    thread cam1(stream, "rtsp://admin:password@ipaddress:554/live2.sdp?tcp");
    thread cam2(stream, "rtsp://admin:password@ipaddress/live2.sdp?tcp");
    cam1.join();
    cam2.join();
    return 0;
}

hey anje can you provide the final code with the face count displayed and all ? thank you