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How to compile Opencv 3.4.1 program in VS 2019 with Opencv 4.1.1?

asked 2020-03-12 11:59:27 -0500

patrick129 gravatar image

I've a program written for Opencv 3.4.1 in order to capture image by basler camera and store it in "IplImage*" type of image then show it in Opencv window. I'm using Visual Studio 2019 with Opencv 4.1.1 and when i compiled it it had some errors:

At "static IplImage* s_pCvSrcImg = NULL;" : Missing type specifier-assumed int.Note: C++ does not support the default -int

memcpy(s_pCvSrcImg->imageData, ptrGrabResult->GetBuffer(), ptrGrabResult->GetImageSize());: Identifier " memcpy" cannot be found

And the same errors for cvCanny ,cvShowImage, cvWaitKey in the below Lines Here is the program:

#define OPENCV
#if defined OPENCV
#include "opencv2/opencv.hpp"
#endif  //#if defined OPENCV
#include <conio.h>
// Include files to use the PYLON API.
#include <pylon/PylonIncludes.h>
#ifdef PYLON_WIN_BUILD
#    include <pylon/PylonGUI.h>
#endif

// Namespace for using pylon objects.
using namespace Pylon;

// Namespace for using cout.
using namespace std;

// Namespace for using GenApi objects.
using namespace GenApi;

// Number of images to be grabbed.
static const uint32_t c_countOfImagesToGrab = 1;

#if defined OPENCV
static char s_szCvWindowNameSrc[64] = "Source";
static char s_szCvWindowNameProc[64] = "Processed";
static IplImage* s_pCvSrcImg = NULL;    //Source image
static IplImage* s_pCvProcImg = NULL;   // Destination image
#endif  //#if defined OPENCV

 int main(int argc, char* argv[])
{
// The exit code of the sample application.
int exitCode = 0;

// Before using any pylon methods, the pylon runtime must be initialized. 
PylonInitialize();

try
{

// Create an instant camera object with the camera device found first.
    CInstantCamera camera( CTlFactory::GetInstance().CreateFirstDevice());
   // Print the model name of the camera.
    cout << "Using device " << camera.GetDeviceInfo().GetModelName() << endl;

    // The parameter MaxNumBuffer can be used to control the count of buffers
    // allocated for grabbing. The default value of this parameter is 10.
    camera.MaxNumBuffer = 5;

    // Start the grabbing of c_countOfImagesToGrab images.
    // The camera device is parameterized with a default configuration which
    // sets up free-running continuous acquisition.
    // camera.StartGrabbing( c_countOfImagesToGrab);
    camera.StartGrabbing(-1);

#if defined OPENCV
    INodeMap& nodemap = camera.GetNodeMap();

    CIntegerPtr width(nodemap.GetNode("Width"));
    unsigned int uiWidth = (unsigned int)width->GetValue();

    CIntegerPtr height(nodemap.GetNode("Height"));
    unsigned int uiHeight = (unsigned int)height->GetValue();

    // Create OpenCV window for mono8
    s_pCvSrcImg = cvCreateImage(cvSize(uiWidth, uiHeight), IPL_DEPTH_8U, 1);
    s_pCvProcImg = cvCreateImage(cvSize(uiWidth, uiHeight), IPL_DEPTH_8U, 1);

    // for change fps automatically 
    CBooleanPtr AcquisitionFrameRateEnable(nodemap.GetNode("AcquisitionFrameRateEnable"));
    AcquisitionFrameRateEnable->SetValue(true);

 #endif //#if defined OPENCV

    // This smart pointer will receive the grab result data.
    CGrabResultPtr ptrGrabResult;

    // Camera.StopGrabbing() is called automatically by the RetrieveResult() method
    // when c_countOfImagesToGrab images have been retrieved.
    int iCount = 0;
    bool bQuit = false;

    while ( false == bQuit )
    {
        // Wait for an image and then retrieve it. A timeout of 5000 ms is used.
        camera.RetrieveResult( 5000, ptrGrabResult, TimeoutHandling_ThrowException);

        //cout << iCount << ", " << endl;
        // Image grabbed successfully?
        if (ptrGrabResult->GrabSucceeded())
        {
#if defined OPENCV
    DWORD dwTimeStart = GetTickCount();

  memcpy(s_pCvSrcImg->imageData, ptrGrabResult->GetBuffer(), ptrGrabResult->GetImageSize());// Retleave image 
  from SDK
  cvCanny(s_pCvSrcImg, s_pCvProcImg, 64, 128);  // Edge detection
  cvShowImage(s_szCvWindowNameSrc, s_pCvSrcImg);    // Show camera image
  cvShowImage(s_szCvWindowNameProc, s_pCvProcImg); // Show processed image
  cvWaitKey(50);    // To keep show cvShowImage

  DWORD dwProcTime = GetTickCount() - dwTimeStart;
  //cout << "Process Time = " << dwProcTime<< "[ms] img" << ptrGrabResult->GetBlockID() << endl;
     printf("\rProcess Time = %ld[ms] img %ld", dwProcTime, (DWORD)ptrGrabResult->GetBlockID ...
(more)
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berak gravatar imageberak ( 2020-03-12 12:28:28 -0500 )edit

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answered 2020-03-13 05:26:58 -0500

berak gravatar image

updated 2020-03-13 05:27:47 -0500

the code you're trying to use, is from opencv1.0, long deprecated c-api, and no more available in opencv4

you have to use cv::Mat, and c++ functions from the cv namespace now,

maybe like this (assuming you have a valid ptrGrabResult):

Mat img(ptrGrabResult->GetHeight(), ptrGrabResult->GetWidth(), CV_8U, ptrGrabResult->GetBuffer());
Mat proc;   
Canny(img, proc, 64, 128);  // Edge detection
imshow(s_szCvWindowNameSrc, img);    // Show camera image
imshow(s_szCvWindowNameProc, proc); // Show processed image
waitKey(50);    // To keep show cvShowImage
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Thank you so much for your advice! I'll try this way and tell you if it works or not.

patrick129 gravatar imagepatrick129 ( 2020-03-13 05:57:32 -0500 )edit
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Asked: 2020-03-12 11:59:27 -0500

Seen: 182 times

Last updated: Mar 13