runnin代码时opencv_world331.dll访问冲突

时间:2018-05-23 13:51:12

标签: c++ opencv visual-studio-2017

无法使opencv C ++ Haar Cascades代码正常工作。 代码来自https://docs.opencv.org/3.3.1/db/d28/tutorial_cascade_classifier.html。 我正在使用Visual Studio 2017.下载OpenCV 3.3.1,映射所有目录,将opencv_world331.dll复制到debug文件夹中。

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但每当我运行代码时,我都会收到opencv_world331d.dll的访问冲突错误

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完整错误代码:Project1.exe中0x00007FF8D8D5FFB2(opencv_world331d.dll)的未处理异常:0xC0000005:访问冲突读取位置0x0000016F5A83F000。发生

在Windows环境变量设置中添加dll的文件夹也无济于事。

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有没有人有这方面的经验?

这是完整的代码

#include "opencv2/objdetect.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include <iostream>
#include <stdio.h>

using namespace std;
using namespace cv;
void detectAndDisplay(Mat frame);
String face_cascade_name, eyes_cascade_name;
CascadeClassifier face_cascade;
CascadeClassifier eyes_cascade;
String window_name = "Capture - Face detection";
int main(int argc, const char** argv)
{
    CommandLineParser parser(argc, argv,
        "{help h||}"
        "{face_cascade|D:/opencv331/opencv/sources/data/haarcascades/haarcascade_frontalface_alt.xml|}"
        "{eyes_cascade|D:/opencv331/opencv/sources/data/haarcascades/haarcascade_eye_tree_eyeglasses.xml|}");
    cout << "\nThis program demonstrates using the cv::CascadeClassifier class to detect objects (Face + eyes) in a video stream.\n"
        "You can use Haar or LBP features.\n\n";
    parser.printMessage();
    face_cascade_name = parser.get<string>("face_cascade");
    eyes_cascade_name = parser.get<string>("eyes_cascade");
    VideoCapture capture;
    Mat frame;
    //-- 1. Load the cascades
    if (!face_cascade.load(face_cascade_name)) { printf("--(!)Error loading face cascade\n"); return -1; };
    if (!eyes_cascade.load(eyes_cascade_name)) { printf("--(!)Error loading eyes cascade\n"); return -1; };
    //-- 2. Read the video stream
    capture.open(0);
    if (!capture.isOpened()) { printf("--(!)Error opening video capture\n"); return -1; }
    while (capture.read(frame))
    {
        if (frame.empty())
        {
            printf(" --(!) No captured frame -- Break!");
            break;
        }
        //-- 3. Apply the classifier to the frame
        detectAndDisplay(frame);
        char c = (char)waitKey(10);
        if (c == 27) { break; } // escape
    }
    return 0;
}
void detectAndDisplay(Mat frame)
{
    std::vector<Rect> faces;
    Mat frame_gray;
    cvtColor(frame, frame_gray, COLOR_BGR2GRAY);
    equalizeHist(frame_gray, frame_gray);
    //-- Detect faces
    face_cascade.detectMultiScale(frame_gray, faces, 1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(30, 30));
    for (size_t i = 0; i < faces.size(); i++)
    {
        Point center(faces[i].x + faces[i].width / 2, faces[i].y + faces[i].height / 2);
        ellipse(frame, center, Size(faces[i].width / 2, faces[i].height / 2), 0, 0, 360, Scalar(255, 0, 255), 4, 8, 0);
        Mat faceROI = frame_gray(faces[i]);
        std::vector<Rect> eyes;
        //-- In each face, detect eyes
        eyes_cascade.detectMultiScale(faceROI, eyes, 1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(30, 30));
        for (size_t j = 0; j < eyes.size(); j++)
        {
            Point eye_center(faces[i].x + eyes[j].x + eyes[j].width / 2, faces[i].y + eyes[j].y + eyes[j].height / 2);
            int radius = cvRound((eyes[j].width + eyes[j].height)*0.25);
            circle(frame, eye_center, radius, Scalar(255, 0, 0), 4, 8, 0);
        }
    }
    //-- Show what you got
    imshow(window_name, frame);
}    

2 个答案:

答案 0 :(得分:1)

出乎意料的是,在发布模式下运行代码可以正常工作!

答案 1 :(得分:0)

此代码可能是您的问题:

CommandLineParser parser(argc, argv,
        "{help h||}"
        "{face_cascade|D:/opencv331/opencv/sources/data/haarcascades/haarcascade_frontalface_alt.xml|}"
        "{eyes_cascade|D:/opencv331/opencv/sources/data/haarcascades/haarcascade_eye_tree_eyeglasses.xml|}");
    cout << "\nThis program demonstrates using the cv::CascadeClassifier class to detect objects (Face + eyes) in a video stream.\n"
        "You can use Haar or LBP features.\n\n";

您需要在Windows上使用双反斜杠。