Linux系统带有桌面操作、basler相机（GIge接口）、路由器、Python编程环境（之前的帖子有安装步骤）
1.首先利用官网自带的软件调试通相机，软件下载地址：/cn/sales-support/downloads/software-downloads/#type=pylonsoftware;version=all;os=windows;series=baslerace;model=all根据自己的系统型号下载对应的软件安装好，这里先说一下怎么安装，先解压后里面有一个有关SDK的压缩包，再解压至opt：sudo tar -C /opt -xzf pylonSDK-5.1.0.12682-x86_64.tar.gz，在修改环境变量：cd /opt source ./pylon5/bin/pylon-setup-env.sh pylon5。
2.将系统和相机利用路由器连接在同一个局域网内，打开软件先选择Tools，搜索相机IP并改成固定IP，就可以打开相机看实时图像了。
3.利用C++和OpenCV开发，这里是因为pypylon没有linux版本的，Windows下才支持pypylon(可以看之前的博客)。先讲一下opencv的安装:pip install opencv-python这是安装最新版的opencv,要根据自己的Python环境来安装（之前帖子有将linux下pychar+anaconda的安装）在安装opencv之前要保证numpy和scipy安装好的。
这说明安装成功。之后再来安装eclipse+C++环境（之前帖子也有）。
下面正式进入开发：打开eclipse创建一个新的c++环境，下面用图来说明配置include文件和依赖库
上面三张图就是添加文件路径和依赖库的步骤。
最后给出代码和效果图，这里的代码参考的是官网C++例程：
/** Grab.cpp** Created on: 11月30日*Author: wenhan*/#define saveImages 1// Include files to use the PYLON API.#include <pylon/PylonIncludes.h>#ifdef PYLON_WIN_BUILD# include <pylon/PylonGUI.h>#endif#include <opencv2/core/core.hpp>#include <opencv2/highgui/highgui.hpp>#include <opencv2/video/video.hpp>// Namespace for using pylon objects.using namespace Pylon;// Namespace for using cout.using namespace std;using namespace cv;// Number of images to be grabbed.static const uint32_t c_countOfImagesToGrab = 100;//int main(int argc, char* argv[]){Mat src;CImageFormatConverter formatConverter;formatConverter.OutputPixelFormat = PixelType_BGR8packed;int grabbedlmages = 0;// 创建一个Pylonlmage后续将用来创建OpenCV imagesCPylonImage pylonImage;// 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);// 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.while ( camera.IsGrabbing()){// Wait for an image and then retrieve it. A timeout of 5000 ms is used.camera.RetrieveResult( 5000, ptrGrabResult, TimeoutHandling_ThrowException);// Image grabbed successfully?if (ptrGrabResult->GrabSucceeded()){// Access the image data.cout << "SizeX: " << ptrGrabResult->GetWidth() << endl;cout << "SizeY: " << ptrGrabResult->GetHeight() << endl;formatConverter.Convert(pylonImage, ptrGrabResult);src = cv::Mat(ptrGrabResult->GetHeight(), ptrGrabResult->GetWidth(), CV_8UC3, (uint8_t *) pylonImage.GetBuffer());//如果需要保存图片if (saveImages){std::ostringstream s;// 按索引定义文件名存储图片s << "/home/wenhan/img/image_" << grabbedlmages << ".jpg";std::string imageName(s.str());//保存OpenCV image.imwrite(imageName, src);grabbedlmages++;}//新建OpenCV display window.namedWindow("OpenCV Display Window", CV_WINDOW_NORMAL); // other options: CV_AUTOSIZE, CV_FREERATIO//显示及时影像.imshow("OpenCV Display Window", src);waitKey(1);const uint8_t *pImageBuffer = (uint8_t *) ptrGrabResult->GetBuffer();cout << "Gray value of first pixel: " << (uint32_t) pImageBuffer[0] << endl << endl;#ifdef PYLON_WIN_BUILD// Display the grabbed image.Pylon::DisplayImage(1, ptrGrabResult);#endif}else{cout << "Error: " << ptrGrabResult->GetErrorCode() << " " << ptrGrabResult->GetErrorDescription() << endl;}}}catch (const GenericException &e){// Error handling.cerr << "An exception occurred." << endl<< e.GetDescription() << endl;exitCode = 1;}// Comment the following two lines to disable waiting on exit.cerr << endl << "Press Enter to exit." << endl;while( cin.get() != '\n');// Releases all pylon resources.PylonTerminate();return exitCode;}
效果图：
最后可以直接运行c++的程序：
cd (c++程序debug下)
./(c++名称) attribute
