如何使用opencv从读取缓冲区中读取BGR格式的RAW图像数据

时间:2019-04-05 09:42:28

标签: image-processing opencv3.0 opencv3.1

我有一个具有BGR 8位原始图像数据的读取缓冲区,我想使用opencv Mat函数读取它,我尝试了下面的代码,但没有得到正确的图像帧,看来我的程序未读取读取缓冲区正确

我尝试了这段代码

 #include <time.h>
 #include <unistd.h>
 #include <opencv2/opencv.hpp>
 #include <stack>
 #include <limits.h>
 #include <time.h>
 #include <stdlib.h>
 #include <fcntl.h>
 #include <sys/mman.h>

 using namespace std;
 using namespace cv;
 //using namespace std::chrono;
 int main(int argc , char *argv[]) {

 if (argc < 3) {
    printf("Usage: %s <phys_addr> <offset>\n", argv[0]);
    return 0;
 }

 off_t offset = strtoul(argv[1], NULL, 0);
 size_t len = strtoul(argv[2], NULL, 0);

 /* Truncate offset to a multiple of the page size, or mmap will fail. */
 size_t pagesize = sysconf(_SC_PAGE_SIZE);
 off_t page_base = (offset / pagesize) * pagesize;
 off_t page_offset = offset - page_base;

 int fd = open("/dev/mem", O_SYNC);

 unsigned char *mem = (unsigned char*)mmap(NULL, page_offset + len, PROT_READ | PROT_WRITE, MAP_PRIVATE, fd, page_base);
 if (mem == MAP_FAILED) {

    perror("Can't map memory");
    return -1;
 }

cout << &mem << endl; // print the virtual address of the memory buffer

cv::Mat dst;
while(1)
 {

    cv::Mat imgbuf(Size(640, 480), CV_8UC3, mem, 640*3);

            imshow("image2",imgbuf);

            waitKey(0);
            destroyAllWindows();
     }
        return 0;
}

〜 〜 output Image

0 个答案:

没有答案