opencv矩阵存入共享内存

我想在两个 Linux 进程之间共享一个 CvMat 对象（OpenCV 库中的矩阵），为此我使用共享内存。一个进程（服务器）将从网络摄像头捕获一帧（矩阵），将其转换为灰度，使用共享内存共享它并在屏幕上显示该帧。另一个进程（客户端）将读取共享帧并执行一些操作。请参阅下面的代码。

问题似乎是客户端没有读取信息，因为“行”和“列”为零（或者服务器没有写入共享内存）。无论如何，我没有收到任何错误消息，我不知道我做错了什么。任何想法？

非常感谢！

这是服务器的代码：

#include <iostream>
#include <cv.h>
#include <highgui.h>
using namespace std;

#include <sys/types.h>
#include <sys/ipc.h>
#include <sys/shm.h>
#include <stdio.h>

#include "2cam.h"

int sizeofmat(CvMat *mat) {
    return mat->rows * mat->cols * CV_ELEM_SIZE(mat->type);
}

int main() {
    int shmid;
    key_t key = 5678;

    CvMat *vdisp = cvCreateMat(240, 320, CV_8U);
    const size_t vdispsize = sizeofmat(vdisp);
    CvMat *s = cvCreateMat(240, 320, CV_8U);
    CvMat stub;
    CvSize imageSize = cvSize(320, 240);

    IplImage *color = cvCreateImage(imageSize, 8, 3);
    IplImage *gray = cvCreateImage(imageSize, 8, 1);

    /* Create the segment */
    if ((shmid = shmget(key, vdispsize, IPC_CREAT | 0666)) < 0) {
        perror("shmget");
        exit(1);
    }

    /* Attach the segment to our data space */
    if ((vdisp = (CvMat *)shmat(shmid, NULL, 0)) == (CvMat *)-1) {
        perror("shmat");
        exit(1);
    }

    /* Put CvMat into the memory to be read for other processes */
    s = vdisp;

    /* Create camera */
    Camera c("/dev/video0", 320, 240, 30);

    while (1) {
        /* Get one frame */
        c.Update();
        c.toIplImage(color);

        /* Convert color frame to grayscale */
        cvCvtColor(color, gray, CV_BGR2GRAY);

        /* Get matrix from the gray frame and write the matrix in shared memory*/
        s = cvGetMat(gray, &stub, 0, 0);

        /* Show frame */
        cvNamedWindow("result", CV_WINDOW_AUTOSIZE);
        cvShowImage("result", s);

        /* Wait for escape key */
        if ((cvWaitKey(10) & 255) == 27)
            break;
    }

    /* free memory */
    cvDestroyWindow("result");
    cvReleaseImage(&color);
    cvReleaseImage(&gray);
    //cvReleaseMat(&vdisp);
    //cvReleaseMat(&s);

    return 0;
}  

这是客户的代码：

#include <iostream>
#include <cv.h>
#include <highgui.h>
using namespace std;

#include <sys/types.h>
#include <sys/ipc.h>
#include <sys/shm.h>
#include <stdio.h>

int sizeofmat(CvMat *mat) {
    return mat->rows * mat->cols * CV_ELEM_SIZE(mat->type);
}

int main() {
    int shmid;
    key_t key = 5678;

    CvMat *vdisp = cvCreateMat(240, 320, CV_8U);
    const size_t vdispsize = sizeofmat(vdisp);
    CvMat *s = cvCreateMat(240, 320, CV_8U);

    /* Locate the segment */
    if ((shmid = shmget(key, vdispsize, 0666)) < 0) {
        perror("shmget");
        exit(1);
    }

    /* Now we attach the segment to our data space */
    if ((vdisp = (CvMat *)shmat(shmid, NULL, 0)) == (CvMat *) -1) {
        perror("shmat");
        exit(1);
    }

    s = vdisp;

    cout << "rows: " << s->rows << endl;
    cout << "cols: " << s->cols << endl;

    return 0;
}

感谢拉斯曼斯，他为我指明了正确的方向。不管怎样，我自己回答，以防万一有人需要相同的解决方案。

这是服务器的代码：

#include <iostream>
#include <cv.h>
#include <highgui.h>
using namespace std;

#include <sys/types.h>
#include <sys/ipc.h>
#include <sys/shm.h>
#include <stdio.h>

#include "2cam.h"

int sizeofmat(CvMat *mat) {
    return mat->rows * mat->step;
}

int main() {
    int shmid;
    key_t key = 5678;

    uchar *vdisp;
    CvMat *s = cvCreateMat(240, 320, CV_8U);
    CvMat *tmp = cvCreateMat(240, 320, CV_8U);
    const size_t vdispsize = sizeofmat(s);
    CvMat stub;
    CvSize imageSize = cvSize(320, 240);

    IplImage *color = cvCreateImage(imageSize, 8, 3);
    IplImage *gray = cvCreateImage(imageSize, 8, 1);

    /* Create the segment */
    if ((shmid = shmget(key, vdispsize, IPC_CREAT | 0666)) < 0) {
        perror("shmget");
        exit(1);
    }

    /* Attach the segment to our data space */
    if ((vdisp = (uchar *) shmat(shmid, NULL, 0)) == (uchar *) -1) {
        perror("shmat");
        exit(1);
    }

    s->data.ptr = vdisp;

    /* Create camera */
    Camera c("/dev/video0", 320, 240, 30);

    while (1) {
        /* Get one frame */
        c.Update();
        c.toIplImage(color);

        /* Convert color frame to grayscale */
        cvCvtColor(color, gray, CV_BGR2GRAY);

        /* Get matrix from the gray frame and write the matrix in shared memory*/
        tmp = cvGetMat(gray, &stub, 0, 0);

        for (int row = 0; row < tmp->rows; row++) {
            const uchar* ptr = (const uchar*) (tmp->data.ptr + row * tmp->step);
            memcpy((uchar*)(s->data.ptr + row * s->step), ptr, tmp->step);
        }

        /* Show frame */
        cvNamedWindow("result", CV_WINDOW_AUTOSIZE);
        cvShowImage("result", s);

        /* Wait for escape key */
        if ((cvWaitKey(10) & 255) == 27)
            break;
    }

    /* free memory */
    cvDestroyWindow("result");
    cvReleaseImage(&color);
    cvReleaseImage(&gray);

    return 0;
}

这是客户的代码：

#include <iostream>
#include <cv.h>
#include <highgui.h>
using namespace std;

#include <sys/types.h>
#include <sys/ipc.h>
#include <sys/shm.h>
#include <stdio.h>

int sizeofmat(CvMat *mat) {
    return mat->rows * mat->step;
}

int main() {
    int shmid;
    key_t key = 5678;

    uchar *vdisp;
    CvMat *s = cvCreateMat(240, 320, CV_8U);
    const size_t vdispsize = sizeofmat(s);

    /* Locate the segment */
    if ((shmid = shmget(key, vdispsize, 0666)) < 0) {
        perror("shmget");
        exit(1);
    }

    /* Now we attach the segment to our data space */
    if ((vdisp = (uchar *)shmat(shmid, NULL, 0)) == (uchar *) -1) {
        perror("shmat");
        exit(1);
    }

    s->data.ptr = vdisp;

    cvNamedWindow("result", CV_WINDOW_AUTOSIZE);
    cvShowImage("result", s);

    cvWaitKey(10000);

    cvDestroyWindow("result");

    return 0;
}