应用程序挂起detectMultiscale

Question

我正在使用haar级联方法在c ++ visual studio中开发一个人脸检测算法。

在以下行应用程序退出，而相同的应用程序在linux环境中完美运行。

是否有可能导致此问题的opencv配置？

任何帮助都会非常棒。

frontfaceCascade.detectMultiScale(grey_image, faces, 1.1, 0, 0 |
                                  CV_HAAR_SCALE_IMAGE, cv::Size(30, 30));

感谢。

#include "stdafx.h"
#include <opencv2/opencv.hpp>
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/objdetect/objdetect.hpp"
#include <iostream>
#include <thread>
#include <stdlib.h>
#include <corecrt_math_defines.h>

using namespace std;
using namespace cv;
vector<Mat> Frames;
void getFrames(char* fileName);
cv::CascadeClassifier frontfaceCascade;
cv::CascadeClassifier sidefaceCascade;


int main(int argc, char *argv[]) {
    if (argc < 2) {
        cout << " enter file name: \n";
        exit(1);
    }

    char* fileName = argv[1];

    //  if( !frontfaceCascade.load("lbpcascade_frontalface.xml")){
    if (!frontfaceCascade.load("haarcascade_frontalface_default.xml")) {
        std::cout << "Error Loading frontface haarcascade" << std::endl;
    }


    if (!sidefaceCascade.load("haarcascade_profileface.xml"))
    {
        std::cout << "Error Loading sideface haarcascade" << std::endl;
    }

    namedWindow("Faces", WINDOW_NORMAL);
    resizeWindow("Faces", 100, 400);
    moveWindow("Faces", 30, 100);
    getFrames(fileName);
    return 0;
}

void getFrames(char* fileName) {
    cv::VideoCapture vcap(fileName);
    if (!vcap.isOpened()) {
        cout << "Error opening video stream or file" << endl;
        return;
    }

    cv::Mat grey_image;
    Mat img;
    namedWindow("Frames", CV_WINDOW_AUTOSIZE);
    resizeWindow("Frames", 640, 360);
    moveWindow("Frames", 130, 100);
    int init = 0;

    while (1)
    {
        vcap >> img;
        // If the frame is empty, break immediately
        if (img.empty())
            break;

        unsigned int prevSize = 0;
        resize(img, img, cv::Size(640, 360));
        cv::cvtColor(img, grey_image, CV_RGB2GRAY);

        //cv::equalizeHist(grey_image, grey_image);

        std::vector<cv::Rect> faces;

        frontfaceCascade.detectMultiScale(grey_image, faces, 1.1, 0, 0 | CV_HAAR_SCALE_IMAGE, cv::Size(30, 30)); // Minimum size of obj
        //sidefaceCascade.detectMultiScale(grey_image, faces, 1.1, 4, 0 | 1, Size(40, 40), Size(100, 100)); // Minimum size of obj

        /****/
    }
    destroyAllWindows();
    vcap.release();
}