Opencv打开basler相机——实现显示视频、保存图片、记录视频（Windows下）

小咪咪 2022-12-02 04:21 368阅读 0赞

### 文章目录 ###

*   *  一、环境介绍
     *  二、环境配置
     *  三、完整代码

--------------------

## 一、环境介绍 ##

*  系统：windows10
 *  开发环境：VS2015+OpenCV3.1
 *  其它库：pylon（安装basler官方SDK自带的库）

开发环境配置，可参考这里：[VS2015 + OpenCV3.1 环境配置与项目搭建（C++版）][VS2015 _ OpenCV3.1 _C]

## 二、环境配置 ##

1.首先根据自己的VS选择对应的版本  
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2.配置包含目录  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dqaW5qaWU_size_16_color_FFFFFF_t_70_pic_center 1]  
3.配置库目录  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dqaW5qaWU_size_16_color_FFFFFF_t_70_pic_center 2]  
4.配置附加包含目录  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dqaW5qaWU_size_16_color_FFFFFF_t_70_pic_center 3]  
5.配置附加库目录  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dqaW5qaWU_size_16_color_FFFFFF_t_70_pic_center 4]  
6.配置附加依赖项  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dqaW5qaWU_size_16_color_FFFFFF_t_70_pic_center 5]

## 三、完整代码 ##

//定义是否保存图片
    #define saveImages 0
    //定义是否记录视频
    #define recordVideo 0
    
    // 加载OpenCV API
    #include <opencv2/core/core.hpp>
    #include <opencv2/highgui/highgui.hpp>
    #include <opencv2/video/video.hpp>
    
    //加载PYLON API.
    #include <pylon/PylonIncludes.h>
    
    #include<iostream>
    
    #ifdef PYLON_WIN_BUILD
    #include <pylon/PylonGUI.h> 
    #endif
    
    //命名空间.
    using namespace Pylon;
    using namespace cv;
    using namespace std;
    //定义抓取的图像数
    static const uint32_t c_countOfImagesToGrab = 800;
    
    void main()
    { 
    
    	//Pylon自动初始化和终止
    	Pylon::PylonAutoInitTerm autoInitTerm;
    	try
    	{ 
    		
    		//创建相机对象（以最先识别的相机）
    		CInstantCamera camera(CTlFactory::GetInstance().CreateFirstDevice());
    		// 打印相机的名称
    		std::cout << "Using device " << camera.GetDeviceInfo().GetModelName() << endl;
    		//获取相机节点映射以获得相机参数
    		GenApi::INodeMap& nodemap = camera.GetNodeMap();
    		//打开相机
    		camera.Open();
    		//获取相机成像宽度和高度
    		GenApi::CIntegerPtr width = nodemap.GetNode("Width");
    		GenApi::CIntegerPtr height = nodemap.GetNode("Height");
    
    		//设置相机最大缓冲区,默认为10
    		camera.MaxNumBuffer = 5;
    		// 新建pylon ImageFormatConverter对象.
    		CImageFormatConverter formatConverter;
    		//确定输出像素格式
    		formatConverter.OutputPixelFormat = PixelType_BGR8packed;
    		// 创建一个Pylonlmage后续将用来创建OpenCV images
    		CPylonImage pylonImage;
    
    		//声明一个整形变量用来计数抓取的图像，以及创建文件名索引
    		int grabbedlmages = 0;
    
    		// 新建一个OpenCV video creator对象.
    		VideoWriter cvVideoCreator;
    		//新建一个OpenCV image对象.
    
    		Mat openCvImage;
    		// 视频文件名
    
    		std::string videoFileName = "openCvVideo.avi";
    		// 定义视频帧大小
    		cv::Size frameSize = Size((int)width->GetValue(), (int)height->GetValue());
    
    		//设置视频编码类型和帧率，有三种选择
    		// 帧率必须小于等于相机成像帧率
    		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);
    
    
    		// 开始抓取c_countOfImagesToGrab images.
    		//相机默认设置连续抓取模式
    		camera.StartGrabbing(c_countOfImagesToGrab, GrabStrategy_LatestImageOnly);
    
    		//抓取结果数据指针
    		CGrabResultPtr ptrGrabResult;
    
    		// 当c_countOfImagesToGrab images获取恢复成功时，Camera.StopGrabbing() 
    		//被RetrieveResult()方法自动调用停止抓取
    		
    
    		while (camera.IsGrabbing())
    
    		{ 
    			// 等待接收和恢复图像，超时时间设置为5000 ms.
    			camera.RetrieveResult(5000, ptrGrabResult, TimeoutHandling_ThrowException);
    			
    			//如果图像抓取成功
    			if (ptrGrabResult->GrabSucceeded())
    			{ 
    				// 获取图像数据
    				cout << "SizeX: " << ptrGrabResult->GetWidth() << endl;
    				cout << "SizeY: " << ptrGrabResult->GetHeight() << endl;
    
    				//将抓取的缓冲数据转化成pylon image.
    				formatConverter.Convert(pylonImage, ptrGrabResult);
    
    				// 将 pylon image转成OpenCV image.
    				openCvImage = 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 << "save//image_" << grabbedlmages << ".jpg";
    					std::string imageName(s.str());
    					//保存OpenCV image.
    					imwrite(imageName, openCvImage);
    					grabbedlmages++;
    				}
    
    				//如果需要记录视频
    				if (recordVideo)
    				{ 
    
    					cvVideoCreator.write(openCvImage);
    				}
    
    				//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", 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 ;
    }

**测试结果：**

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dqaW5qaWU_size_16_color_FFFFFF_t_70_pic_center 6]  
温馨提示：这里我配置的是Release x64，所以在编译运行时，也要选择相应的选项。

[VS2015 _ OpenCV3.1 _C]: https://blog.csdn.net/wjinjie/article/details/108247835
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