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Open Source Computer Vision Library
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53 lines
1.7 KiB
53 lines
1.7 KiB
////////////////////////////////////////////////////// |
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// Sample illustrating the use of the VideoCapture // |
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// interface in combination with PvAPI interface // |
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// // |
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// Succesfully tested on Prosilica and Manta series // |
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////////////////////////////////////////////////////// |
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// -------------------------------------------------------------------------------- |
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// Some remarks for ensuring the correct working of the interface between camera |
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// and the pc from which you will capture data - Linux based settings. The settings |
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// for Windows are the same, but edited in the graphical interface of the |
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// network card. |
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// |
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// You have to be sure that OpenCV is built with the PvAPI interface enabled. |
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// |
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// FIRST CONFIGURE IP SETTINGS |
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// - Change the IP address of your pc to 169.254.1.1 |
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// - Change the subnet mask of your pc to 255.255.0.0 |
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// - Change the gateway of your pc to 169.254.1.2 |
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// |
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// CHANGE SOME NETWORK CARD SETTINGS |
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// - sudo ifconfig eth0 mtu 9000 - or 9016 ideally if your card supports that |
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// -------------------------------------------------------------------------------- |
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#include <iostream> |
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#include "opencv2/opencv.hpp" |
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using namespace std; |
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using namespace cv; |
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int main() |
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{ |
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// Capturing multiple AVT cameras can be done by simply initiating |
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// two VideoCaptures after eachother. |
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VideoCapture camera1(0 + CV_CAP_PVAPI); |
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VideoCapture camera2(0 + CV_CAP_PVAPI); |
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Mat frame1, frame2; |
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for(;;){ |
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camera1 >> frame1; |
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camera2 >> frame2; |
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imshow("camera 1 frame", frame1); |
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imshow("camera 2 frame", frame2); |
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int key = waitKey(10); |
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if(key == 27){ |
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break; |
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} |
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} |
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return 0; |
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}
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