opencv學習筆記(2)Pylon5 SDK配置vs2015,並搭配opencv採集圖片的示例
阿新 • • 發佈:2019-01-24
1.首先去官網下載Pylon5 window版軟體,
下載連結: https://www.baslerweb.com/cn/support/downloads/software-downloads/pylon-5-0-10-windows/
2.安裝時需要選擇developer模式,因為安裝這個模式才能在安裝的檔案中找到 Pylon SDK的配置;
3.安裝完成後進行配置,如下所示
(1)新建vs專案, 右鍵Microsoft.Cpp,點選屬性,新增 包含目錄。這個地方只要找到pylon目錄下的include。安裝pylon後就有了。(參考我的D:\Program Files\Basler\pylon 5\Development\include)
(2)配置 庫目錄, 找到pylon 目錄下的lib (我的是 D:\Program Files\Basler\pylon 5\Development\lib ,不要複製貼上,找到自己的安裝目錄)
附Pylon搭配opencv採集圖片的示例程式:
//定義是否儲存圖片 #define saveImages 1 //定義是否記錄視訊 #define recordVideo 1 // 載入OpenCV API #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/video/video.hpp> //載入PYLON API. #include <pylon/PylonIncludes.h> #include<iostream> #ifdef PYLON_WIN_BUILD #include <pylon/PylonGUI.h> #endif //名稱空間. using namespace Pylon; using namespace cv; using namespace std; //定義抓取的影象數 static const uint32_t c_countOfImagesToGrab = 10; void main() { //Pylon自動初始化和終止 Pylon::PylonAutoInitTerm autoInitTerm; try { //建立相機物件(以最先識別的相機) CInstantCamera camera(CTlFactory::GetInstance().CreateFirstDevice()); // 列印相機的名稱 std::cout << "Using device " << camera.GetDeviceInfo().GetModelName() << endl; //獲取相機節點對映以獲得相機引數 GenApi::INodeMap& nodemap = camera.GetNodeMap(); //開啟相機 camera.Open(); //獲取相機成像寬度和高度 GenApi::CIntegerPtr width = nodemap.GetNode("Width"); GenApi::CIntegerPtr height = nodemap.GetNode("Height"); //設定相機最大緩衝區,預設為10 camera.MaxNumBuffer = 5; // 新建pylon ImageFormatConverter物件. CImageFormatConverter formatConverter; //確定輸出畫素格式 formatConverter.OutputPixelFormat = PixelType_BGR8packed; // 建立一個Pylonlmage後續將用來建立OpenCV images CPylonImage pylonImage; //宣告一個整形變數用來計數抓取的影象,以及建立檔名索引 int grabbedlmages = 0; // 新建一個OpenCV video creator物件. VideoWriter cvVideoCreator; //新建一個OpenCV image物件. Mat openCvImage; // 視訊檔名 std::string videoFileName = "openCvVideo.avi"; // 定義視訊幀大小 cv::Size frameSize = Size((int)width->GetValue(), (int)height->GetValue()); //設定視訊編碼型別和幀率,有三種選擇 // 幀率必須小於等於相機成像幀率 cvVideoCreator.open(videoFileName, CV_FOURCC('D', 'I', 'V','X'), 10, 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); //抓取結果資料指標 CGrabResultPtr ptrGrabResult; // 當c_countOfImagesToGrab images獲取恢復成功時,Camera.StopGrabbing() //被RetrieveResult()方法自動呼叫停止抓取 while (camera.IsGrabbing()) { // 等待接收和恢復影象,超時時間設定為5000 ms. camera.RetrieveResult(5000, ptrGrabResult, TimeoutHandling_ThrowException); //如果影象抓取成功 if (ptrGrabResult->GrabSucceeded()) { // 獲取影象資料 cout <<"SizeX: "<<ptrGrabResult->GetWidth()<<endl; cout <<"SizeY: "<<ptrGrabResult->GetHeight()<<endl; //將抓取的緩衝資料轉化成pylon image. formatConverter.Convert(pylonImage, ptrGrabResult); // 將 pylon image轉成OpenCV image. openCvImage = cv::Mat(ptrGrabResult->GetHeight(), ptrGrabResult->GetWidth(), CV_8UC3, (uint8_t *) pylonImage.GetBuffer()); //如果需要儲存圖片 if (saveImages) { std::ostringstream s; // 按索引定義檔名儲存圖片 s << "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); } //新建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(0); } } } catch (GenICam::GenericException &e) { // Error handling. cerr << "An exception occurred." << endl << e.GetDescription() << endl; } return; }