GigEStereoCapture.cpp

#include "stdafx.h"

#include "GigECameraCap.h"
#include "opencv2/opencv.hpp"

#ifdef _DEBUG
#pragma comment(lib, "FlyCapture2d.lib")
#pragma comment(lib, "opencv_core248d.lib")
#pragma comment(lib, "opencv_highgui248d.lib")
#else
#pragma comment(lib, "FlyCapture2.lib")
#pragma comment(lib, "opencv_core248.lib")
#pragma comment(lib, "opencv_highgui248.lib")
#endif

using namespace FlyCapture2;
using namespace cv;

int main(int argc, char* argv[])
{
	// Setup GigE Bus
	GigEBusManager bus;
	bus.Init();

    // Setup GigE Camera
	GigECameraCap *cam = new GigECameraCap[bus.num_cameras()];
	for(unsigned int i=0; i<bus.num_cameras(); i++){
		cam[i].Init(bus.guid(i));
	}
	Mat *show = new Mat[bus.num_cameras()];
	int num_of_rec = 0;

	for(;;){
		// Capture
#ifdef _OPENMP
#pragma omp parallel for
#endif
		for(int j=0; j<(int)bus.num_cameras(); j++){
			cam[j].grap(show[j]);
		}

		// Show
		for(unsigned int j=0; j<bus.num_cameras(); j++){
			char winname[256];
			sprintf(winname,"cam%d",j);
			imshow(winname,show[j]);
		}

		// Key Input
		char c=waitKey(1);
		if (c == '\x1b') break;
		else if (c == 'r'){
			cout << "save " << num_of_rec << endl;
			for(int j=0; j<(int)bus.num_cameras(); j++){
				char filename[1024];
				sprintf_s(filename, 1024, "calib%d_%02d.ppm", j, num_of_rec);
				imwrite(filename,show[j]);
			}
			num_of_rec+=1;
		}
	}

	delete [] show;

	return 0;
}

Hi, @dotchang.

Thanks for your code. nice works ~.

And then,
How about using the cuFFT instead using of OpenMP?

In OpenCV3.0 there are 2D phase_correlation function is implemented very fast performance without CUDA.
But there is no 1D phase_correlation function not yet.

What is the principle of speediness of OpenCV3's POC ?

I wonder.