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OpenCV:将内存中的指针转换为图像

[英]OpenCV : convert the pointer in memory to image

I have a grabber which can get the images and show them on the screen with the following code 我有一个抓取器,它可以获取图像并使用以下代码在屏幕上显示它们

while((lastPicNr = Fg_getLastPicNumberBlockingEx(fg,lastPicNr+1,0,10,_memoryAllc))<200) {                                                           
                iPtr=(unsigned char*)Fg_getImagePtrEx(fg,lastPicNr,0,_memoryAllc);                  
                ::DrawBuffer(nId,iPtr,lastPicNr,"testing");                                         }

but I want to use the pointer to the image data and display them with OpenCV, cause I need to do the processing on the pixels. 但是我想使用指向图像数据的指针并通过OpenCV显示它们,因为我需要对像素进行处理。 my camera is a CCD mono camera and the depth of the pixels is 8bits. 我的相机是CCD单反相机,像素深度为8位。 I am new to OpenCV, is there any option in opencv that can get the return of the (unsigned char*)Fg_getImagePtrEx(fg,lastPicNr,0,_memoryAllc); 我是OpenCV的新手,opencv中是否有任何选项可以返回(unsigned char *)Fg_getImagePtrEx(fg,lastPicNr,0,_memoryAllc); and disply it on the screen? 并显示在屏幕上? or get the data from the iPtr pointer an allow me to use the image data? 还是从iPtr指针获取数据,允许我使用图像数据?

Creating an IplImage from unsigned char* raw_data takes 2 important instructions: cvCreateImageHeader() and cvSetData() : IplImage unsigned char* raw_data创建IplImage需要2条重要指令: cvCreateImageHeader()cvSetData()

// 1 channel for mono camera, and for RGB would be 3
int channels = 1; 
IplImage* cv_image = cvCreateImageHeader(cvSize(width,height), IPL_DEPTH_8U, channels);
if (!cv_image)
{
    // print error, failed to allocate image!
}

cvSetData(cv_image, raw_data, cv_image->widthStep);

cvNamedWindow("win1", CV_WINDOW_AUTOSIZE);
cvShowImage("win1", cv_image);
cvWaitKey(10);

// release resources
cvReleaseImageHeader(&cv_image);
cvDestroyWindow("win1");

I haven't tested the code, but the roadmap for the code you are looking for is there. 我没有测试代码,但是您正在寻找的代码路线图已经存在。

If you are using C++, I don't understand why your are not doing it the simple way like this: 如果您使用的是C ++,我不明白为什么您不使用这种简单的方式来做到这一点:

If your camera is supported, I would do it this way: 如果您的相机受支持,我会这样做:

   cv::VideoCapture capture(0);

   if(!capture.isOpened()) {
     // print error
     return -1;
   }

   cv::namedWindow("viewer");

   cv::Mat frame;

   while( true )
   {
     capture >> frame;

     // ... processing here

     cv::imshow("viewer", frame);
     int c = cv::waitKey(10);
     if( (char)c == 'c' ) { break; } // press c to quit
   }

I would recommend starting to read the docs and tutorials which you can find here . 我建议开始阅读可在此处找到的文档和教程。

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