basler 相機取圖逾時_Opencv打開basler相機——實作顯示視訊、儲存圖檔、記錄視訊（Windows下）...

//定義是否儲存圖檔

#define saveImages 0

//定義是否記錄視訊

#define recordVideo 0

// 加載OpenCV API

#include

#include

#include

//加載PYLON API.

#include

#include

#ifdef PYLON_WIN_BUILD

#include

#endif

//命名空間.

using namespace Pylon;

using namespace cv;

using namespace std;

//定義抓取的圖像數

static const uint32_t c_countOfImagesToGrab = 800;

void main()

{

//Pylon自動初始化和終止

Pylon::PylonAutoInitTerm autoInitTerm;

try

{

//建立相機對象(以最先識别的相機)

CInstantCamera camera(CTlFactory::GetInstance().CreateFirstDevice());

// 列印相機的名稱

std::cout << "Using device " << camera.GetDeviceInfo().GetModelName() << endl;

//擷取相機節點映射以獲得相機參數

GenApi::INodeMap& nodemap = camera.GetNodeMap();

//打開相機

camera.Open();

//擷取相機成像寬度和高度

GenApi::CIntegerPtr width = nodemap.GetNode("Width");

GenApi::CIntegerPtr height = nodemap.GetNode("Height");

//設定相機最大緩沖區,預設為10

camera.MaxNumBuffer = 5;

// 建立pylon ImageFormatConverter對象.

CImageFormatConverter formatConverter;

//确定輸出像素格式

formatConverter.OutputPixelFormat = PixelType_BGR8packed;

// 建立一個Pylonlmage後續将用來建立OpenCV images

CPylonImage pylonImage;

//聲明一個整形變量用來計數抓取的圖像，以及建立檔案名索引

int grabbedlmages = 0;

// 建立一個OpenCV video creator對象.

VideoWriter cvVideoCreator;

//建立一個OpenCV image對象.

Mat openCvImage;

// 視訊檔案名

std::string videoFileName = "openCvVideo.avi";

// 定義視訊幀大小

cv::Size frameSize = Size((int)width->GetValue(), (int)height->GetValue());

//設定視訊編碼類型和幀率，有三種選擇

// 幀率必須小于等于相機成像幀率

cvVideoCreator.open(videoFileName, CV_FOURCC('M', 'J', 'P', 'G'), 24, frameSize, true);

//cvVideoCreator.open(videoFileName, CV_F0URCC('M','P',,4','2’), 20, frameSize, true);

//cvVideoCreator.open(videoFileName, CV_FOURCC('M', '3', 'P', 'G'), 20, frameSize, true);

// 開始抓取c_countOfImagesToGrab images.

//相機預設設定連續抓取模式

camera.StartGrabbing(c_countOfImagesToGrab, GrabStrategy_LatestImageOnly);

//抓取結果資料指針

CGrabResultPtr ptrGrabResult;

// 當c_countOfImagesToGrab images擷取恢複成功時，Camera.StopGrabbing()

//被RetrieveResult()方法自動調用停止抓取

while (camera.IsGrabbing())

{

// 等待接收和恢複圖像，逾時時間設定為5000 ms.

camera.RetrieveResult(5000, ptrGrabResult, TimeoutHandling_ThrowException);

//如果圖像抓取成功

if (ptrGrabResult->GrabSucceeded())

{

// 擷取圖像資料

cout << "SizeX: " << ptrGrabResult->GetWidth() << endl;

cout << "SizeY: " << ptrGrabResult->GetHeight() << endl;

//将抓取的緩沖資料轉化成pylon image.

formatConverter.Convert(pylonImage, ptrGrabResult);

// 将 pylon image轉成OpenCV image.

openCvImage = cv::Mat(ptrGrabResult->GetHeight(), ptrGrabResult->GetWidth(), CV_8UC3, (uint8_t *)pylonImage.GetBuffer());

//如果需要儲存圖檔

if (saveImages)

{

std::ostringstream s;

// 按索引定義檔案名存儲圖檔

s << "save//image_" << grabbedlmages << ".jpg";

std::string imageName(s.str());

//儲存OpenCV image.

imwrite(imageName, openCvImage);

grabbedlmages++;

}

//如果需要記錄視訊

if (recordVideo)

{

cvVideoCreator.write(openCvImage);

}

//建立OpenCV display window.

namedWindow("OpenCV Display Window", CV_WINDOW_NORMAL); // other options: CV_AUTOSIZE, CV_FREERATIO

//顯示及時影像.

imshow("OpenCV Display Window", openCvImage);

// Define a timeout for customer's input in

// '0' means indefinite, i.e. the next image will be displayed after closing the window.

// '1' means live stream

waitKey(10);

}

}

}

catch (GenICam::GenericException &e)

{

// Error handling.

cerr << "An exception occurred." << endl

<< e.GetDescription() << endl;

}

system("pause");

return ;

}