C++ 机器视觉——大恒相机

目录

第一步:安装Gaalxy_view软件:Galaxy_V18.06.25.01_X86_Win_cn.exe

第二步:测试相机:MER-1070-10GC相机,应用软件打开该相机体验。

第三步:利用SDK-API进行编程,主要功能(开启、采集、录像、停止、关闭)

C接口

利用回调函数进行显示

C++ 接口

利用回调函数进行显示

利用获取帧进行显示

第四步:MFC联合SDK进行项目开发(当前项目瓷砖检测)。


 

第一步:安装Gaalxy_view软件:Galaxy_V18.06.25.01_X86_Win_cn.exe

软件从官网-技术支持-下载中心-选择需求软件(可单独使用SDK包、本文使用SDK+客户端软件一体)

链接:https://pan.baidu.com/s/1Il2qr_LD8Zz8gpb0QNQBaw 提取码:kh2w 

         

第二步:测试相机:MER-1070-10GC相机,应用软件打开该相机体验。

MER-1070-10GC相机为以太网通信的相机,之前开发的项目都是走FlyCapture的sdk,不能开启该相机,所有先测试体验下。

第三步:利用SDK-API进行编程,主要功能(开启、采集、录像、停止、关闭)

重中之重,如何开发所需功能,鄙人使用联合Opencv图像库联合开发。

使用C接口和C++ 接口两个程序分别实现:

总体思路:

初始化接口库——》枚举设备——》打开设备打开流

——》注册设备掉线事件【目前只有千兆网系列相机支持此事件通知】

——》获取远端设备属性控制器

————》注册远端设备事件【属性控制器】

——》注册回调采集(显示)

————》发送开采命令【属性控制器】

————》发送停采命令【属性控制器】

——》注销采集回调

——》注销远端设备事件

——》注销设备掉线事件

——》释放资源

C接口

(参考网上代码,C++的是看接口说明文档进行的)

配置:VC SDK的inc和lib、Opencv SDK配置

利用回调函数进行显示

#include <opencv2/core/core.hpp>  
#include <opencv2/imgproc/imgproc.hpp>  
#include <opencv2/highgui/highgui.hpp>  
#include <iostream>  
#include <GxIAPI.h>
#include <DxImageProc.h>

using namespace std;
using namespace cv;

GX_DEV_HANDLE       m_hDevice;              ///< 设备句柄  
BYTE                *m_pBufferRaw;          ///< 原始图像数据  
BYTE                *m_pBufferRGB;          ///< RGB图像数据,用于显示和保存bmp图像  
int64_t             m_nImageHeight;         ///< 原始图像高  
int64_t             m_nImageWidth;          ///< 原始图像宽  
int64_t             m_nPayLoadSize;
int64_t             m_nPixelColorFilter;    ///< Bayer格式  
Mat test;
//图像回调处理函数  
static void GX_STDC OnFrameCallbackFun(GX_FRAME_CALLBACK_PARAM* pFrame)
{
	//PrepareForShowImg();  
	if (pFrame->status == 0)
	{
		//对图像进行某些操作  
		/*memcpy(m_pBufferRaw, pFrame->pImgBuf, pFrame->nImgSize);
		// 黑白相机需要翻转数据后显示
		for (int i = 0; i <m_nImageHeight; i++)      {
		memcpy(m_pImageBuffer + i*m_nImageWidth, m_pBufferRaw + (m_nImageHeight - i - 1)*m_nImageWidth, (size_t)m_nImageWidth);
		}
		IplImage* src;
		src = cvCreateImage(cvSize(m_nImageWidth, m_nImageHeight), 8, 1);
		src->imageData = (char*)m_pImageBuffer;
		cvSaveImage("src.jpg", src);*/
		memcpy(m_pBufferRaw, pFrame->pImgBuf, pFrame->nImgSize);

		// RGB转换  
		DxRaw8toRGB24(m_pBufferRaw
			, m_pBufferRGB
			, (VxUint32)(m_nImageWidth)
			, (VxUint32)(m_nImageHeight)
			, RAW2RGB_NEIGHBOUR
			, DX_PIXEL_COLOR_FILTER(m_nPixelColorFilter)
			, false);
		//  cv_Image->imageData = (char*)m_pBufferRGB;  

		//  cvSaveImage("./test.bmp", cv_Image);  

		//test.data = m_pBufferRaw;  
		memcpy(test.data, m_pBufferRGB, m_nImageWidth*m_nImageHeight * 3);
		imwrite("./test1.bmp", test);
		namedWindow("test");
		imshow("test", test);
		waitKey(15);

	}
	return;
}

int main(int argc, char* argv[])
{
	GX_STATUS emStatus = GX_STATUS_SUCCESS;
	GX_OPEN_PARAM openParam;
	uint32_t      nDeviceNum = 0;
	openParam.accessMode = GX_ACCESS_EXCLUSIVE;
	openParam.openMode = GX_OPEN_INDEX;
	openParam.pszContent = "1";
	// 初始化库   
	emStatus = GXInitLib();
	if (emStatus != GX_STATUS_SUCCESS)
	{
		return 0;
	}
	// 枚举设备列表  
	emStatus = GXUpdateDeviceList(&nDeviceNum, 1000);
	if ((emStatus != GX_STATUS_SUCCESS) || (nDeviceNum <= 0))
	{
		return 0;
	}
	//打开设备  
	emStatus = GXOpenDevice(&openParam, &m_hDevice);
	//设置采集模式连续采集  
	emStatus = GXSetEnum(m_hDevice, GX_ENUM_ACQUISITION_MODE, GX_ACQ_MODE_CONTINUOUS);
	emStatus = GXSetInt(m_hDevice, GX_INT_ACQUISITION_SPEED_LEVEL, 1);
	emStatus = GXSetEnum(m_hDevice, GX_ENUM_BALANCE_WHITE_AUTO, GX_BALANCE_WHITE_AUTO_CONTINUOUS);
	bool      bColorFliter = false;
	// 获取图像大小  
	emStatus = GXGetInt(m_hDevice, GX_INT_PAYLOAD_SIZE, &m_nPayLoadSize);
	// 获取宽度  
	emStatus = GXGetInt(m_hDevice, GX_INT_WIDTH, &m_nImageWidth);
	// 获取高度  
	emStatus = GXGetInt(m_hDevice, GX_INT_HEIGHT, &m_nImageHeight);
	test.create(m_nImageHeight, m_nImageWidth, CV_8UC3);
	//判断相机是否支持bayer格式  
	bool m_bColorFilter;
	emStatus = GXIsImplemented(m_hDevice, GX_ENUM_PIXEL_COLOR_FILTER, &m_bColorFilter);
	if (m_bColorFilter)
	{
		emStatus = GXGetEnum(m_hDevice, GX_ENUM_PIXEL_COLOR_FILTER, &m_nPixelColorFilter);
	}
	m_pBufferRGB = new BYTE[(size_t)(m_nImageWidth * m_nImageHeight * 3)];
	if (m_pBufferRGB == NULL)
	{
		return false;
	}
	//为存储原始图像数据申请空间  
	m_pBufferRaw = new BYTE[(size_t)m_nPayLoadSize];
	if (m_pBufferRaw == NULL)
	{
		delete[]m_pBufferRGB;
		m_pBufferRGB = NULL;
		return false;
	}
	//注册图像处理回调函数  
	emStatus = GXRegisterCaptureCallback(m_hDevice, NULL, OnFrameCallbackFun);
	//发送开采命令  
	emStatus = GXSendCommand(m_hDevice, GX_COMMAND_ACQUISITION_START);
	//---------------------  
	//  
	//在这个区间图像会通过OnFrameCallbackFun接口返给用户  
	Sleep(100000);
	//  
	//---------------------  
	//发送停采命令  
	emStatus = GXSendCommand(m_hDevice, GX_COMMAND_ACQUISITION_STOP);
	//注销采集回调  
	emStatus = GXUnregisterCaptureCallback(m_hDevice);
	if (m_pBufferRGB != NULL)
	{
		delete[]m_pBufferRGB;
		m_pBufferRGB = NULL;
	}
	if (m_pBufferRaw != NULL)
	{
		delete[]m_pBufferRaw;
		m_pBufferRaw = NULL;
	}
	emStatus = GXCloseDevice(m_hDevice);
	emStatus = GXCloseLib();
	return 0;
}

C++ 接口

CCD采集的像素,该相机的图形格式GX_PIXEL_FORMAT_BAYER_GR8:Bayer Green-Red 8-bit

必备:https://blog.csdn.net/joe9280/article/details/46952947

C++SDK配置、Opencv SDK配置 

利用回调函数进行显示

# 实时显示——使用Mat Opencv
#include"stdafx.h"
#include<iostream>
#include <opencv2/core/core.hpp>
#include <opencv2\imgproc\imgproc.hpp>
#include <opencv2\opencv.hpp>
using namespace cv;
using namespace std;

//请用户提前配置好工程头文件目录,需要包含GalaxyIncludes.h
#include"GalaxyIncludes.h"


//用户继承掉线事件处理类
class CSampleDeviceOfflineEventHandler : public IDeviceOfflineEventHandler
{
public:
	void DoOnDeviceOfflineEvent(void* pUserParam)
	{
		cout << "收到设备掉线事件!" << endl;
	}
};

//用户继承属性更新事件处理类
class CSampleFeatureEventHandler : public IFeatureEventHandler
{
public:
	void DoOnFeatureEvent(const GxIAPICPP::gxstring&strFeatureName, void* pUserParam)
	{
		cout << "收到曝光结束事件!" << endl;
	}
};


//用户继承采集事件处理类
class CSampleCaptureEventHandler : public ICaptureEventHandler
{
public:
	void DoOnImageCaptured(CImageDataPointer&objImageDataPointer, void* pUserParam)
	{
		cout << "收到一帧图像!" << endl;
		cout << "ImageInfo: " << objImageDataPointer->GetStatus() << endl;
		cout << "ImageInfo: " << objImageDataPointer->GetWidth() << endl;
		cout << "ImageInfo: " << objImageDataPointer->GetHeight() << endl;
		cout << "ImageInfo: " << objImageDataPointer->GetPayloadSize() << endl;
		cout << objImageDataPointer->GetPixelFormat() << endl;
		cout << GX_PIXEL_FORMAT_BAYER_GR8 << endl;

		void* pRGB24Buffer = NULL;
		//假设原始数据是BayerRG8图像
		pRGB24Buffer = objImageDataPointer->ConvertToRGB24(GX_BIT_0_7, GX_RAW2RGB_NEIGHBOUR, true);
		Mat test;
		test.create(objImageDataPointer->GetHeight(), objImageDataPointer->GetWidth(), CV_8UC3);
		memcpy(test.data, pRGB24Buffer, objImageDataPointer->GetPayloadSize() * 3);
		namedWindow("测试", 0);
		imshow("测试", test);
		waitKey(10);
	}
};


int _tmain(int argc, _TCHAR* argv[])
{
	//声明事件回调对象指针
	IDeviceOfflineEventHandler* pDeviceOfflineEventHandler = NULL;///<掉线事件回调对象
	IFeatureEventHandler* pFeatureEventHandler = NULL;///<远端设备事件回调对象
	ICaptureEventHandler* pCaptureEventHandler = NULL;///<采集回调对象

	//初始化
	IGXFactory::GetInstance().Init();
	try
	{
		do
		{
			//枚举设备
			gxdeviceinfo_vector vectorDeviceInfo;
			IGXFactory::GetInstance().UpdateDeviceList(1000, vectorDeviceInfo);
			if (0 == vectorDeviceInfo.size())
			{
				cout << "无可用设备!" << endl;
				break;
			}

			//打开第一台设备以及设备下面第一个流
			CGXDevicePointer ObjDevicePtr = IGXFactory::GetInstance().OpenDeviceBySN(
				vectorDeviceInfo[0].GetSN(),
				GX_ACCESS_EXCLUSIVE);

			CGXStreamPointer ObjStreamPtr = ObjDevicePtr->OpenStream(0);

			//注册设备掉线事件【目前只有千兆网系列相机支持此事件通知】
			GX_DEVICE_OFFLINE_CALLBACK_HANDLE hDeviceOffline = NULL;
			pDeviceOfflineEventHandler = new CSampleDeviceOfflineEventHandler();
			hDeviceOffline = ObjDevicePtr->RegisterDeviceOfflineCallback(pDeviceOfflineEventHandler, NULL);

			//获取远端设备属性控制器
			CGXFeatureControlPointer ObjFeatureControlPtr = ObjDevicePtr->GetRemoteFeatureControl();
			//设置曝光时间(示例中写死us,只是示例,并不代表真正可工作参数,可以尝试,但是不要乱用)
			//ObjFeatureControlPtr->GetFloatFeature("ExposureTime")->SetValue(500);

			//注册远端设备事件:曝光结束事件【目前只有千兆网系列相机支持曝光结束事件】
			//选择事件源
			ObjFeatureControlPtr->GetEnumFeature("EventSelector")->SetValue("ExposureEnd");

			//使能事件
			ObjFeatureControlPtr->GetEnumFeature("EventNotification")->SetValue("On");
			GX_FEATURE_CALLBACK_HANDLE hFeatureEvent = NULL;
			pFeatureEventHandler = new CSampleFeatureEventHandler();
			hFeatureEvent = ObjFeatureControlPtr->RegisterFeatureCallback(
				"EventExposureEnd",
				pFeatureEventHandler,
				NULL);

			//注册回调采集
			pCaptureEventHandler = new CSampleCaptureEventHandler();
			ObjStreamPtr->RegisterCaptureCallback(pCaptureEventHandler, NULL);

			//发送开采命令
			ObjStreamPtr->StartGrab();
			ObjFeatureControlPtr->GetCommandFeature("AcquisitionStart")->Execute();

			//此时开采成功,控制台打印信息,直到输入任意键继续
			getchar();

			//发送停采命令
			ObjFeatureControlPtr->GetCommandFeature("AcquisitionStop")->Execute();
			ObjStreamPtr->StopGrab();

			//注销采集回调
			ObjStreamPtr->UnregisterCaptureCallback();

			//注销远端设备事件
			ObjFeatureControlPtr->UnregisterFeatureCallback(hFeatureEvent);

			//注销设备掉线事件
			ObjDevicePtr->UnregisterDeviceOfflineCallback(hDeviceOffline);			

			//释放资源
			ObjStreamPtr->Close();
			ObjDevicePtr->Close();
		} while (0);
	}

	catch (CGalaxyException&e)
	{
		cout << "错误码: " << e.GetErrorCode() << endl;
		cout << "错误描述信息: " << e.what() << endl;
	}
	catch (std::exception&e)
	{
		cout << "错误描述信息: " << e.what() << endl;
	}

	//反初始化库
	IGXFactory::GetInstance().Uninit();

	//销毁事件回调指针
	if (NULL != pCaptureEventHandler)
	{
		delete pCaptureEventHandler;
		pCaptureEventHandler = NULL;
	}

	if (NULL != pDeviceOfflineEventHandler)
	{
		delete pDeviceOfflineEventHandler;
		pDeviceOfflineEventHandler = NULL;
	}

	if (NULL != pFeatureEventHandler)
	{
		delete pFeatureEventHandler;
		pFeatureEventHandler = NULL;
	}
	return 0;
}

利用获取帧进行显示

#include"stdafx.h"
#include<iostream>
#include <opencv2\core\core.hpp>
#include <opencv2\imgproc\imgproc.hpp>
#include <opencv2\opencv.hpp>
using namespace cv;
using namespace std;

//请用户提前配置好工程头文件目录,需要包含GalaxyIncludes.h
#include"GalaxyIncludes.h"

Mat src;

int _tmain(int argc, _TCHAR* argv[])
{
	//初始化
	IGXFactory::GetInstance().Init();
	try
	{
		do
		{
			//枚举设备
			gxdeviceinfo_vector vectorDeviceInfo;
			IGXFactory::GetInstance().UpdateDeviceList(1000, vectorDeviceInfo);
			if (0 == vectorDeviceInfo.size())
			{
				cout << "无可用设备!" << endl;
				break;
			}
			
			//打开第一台设备以及设备下面第一个流
			CGXDevicePointer ObjDevicePtr = IGXFactory::GetInstance().OpenDeviceBySN(
				vectorDeviceInfo[0].GetSN(),
				GX_ACCESS_EXCLUSIVE);						
			
			CGXStreamPointer ObjStreamPtr = ObjDevicePtr->OpenStream(0);

			//获取远端设备属性控制器
			CGXFeatureControlPointer ObjFeatureControlPtr = ObjDevicePtr->GetRemoteFeatureControl();

			//发送开采命令
			ObjStreamPtr->StartGrab();
			ObjFeatureControlPtr->GetCommandFeature("AcquisitionStart")->Execute();			
			
			//主程序		
			//采单帧
			int a = 1;
			while (a)
			{
				CImageDataPointer objImageDataPtr;				

				objImageDataPtr = ObjStreamPtr->GetImage(500);//超时时间使用500ms,用户可以自行设定
				if (objImageDataPtr->GetStatus() == GX_FRAME_STATUS_SUCCESS)
				{
					//getchar();
					//采图成功而且是完整帧,可以进行图像处理...
					cout << "收到一帧图像!" << endl;
					cout << "ImageInfo: " << objImageDataPtr->GetStatus() << endl;
					cout << "ImageInfo: " << objImageDataPtr->GetWidth() << endl;
					cout << "ImageInfo: " << objImageDataPtr->GetHeight() << endl;
					cout << "ImageInfo: " << objImageDataPtr->GetPayloadSize() << endl;
					cout << objImageDataPtr->GetPixelFormat() << endl;
					cout << GX_PIXEL_FORMAT_BAYER_GR8 << endl;

					//假设原始数据是BayerRG8图像,则 GX_BIT_0_7
					void* pRGB24Buffer = NULL;				
					pRGB24Buffer = objImageDataPtr->ConvertToRGB24(GX_BIT_0_7, GX_RAW2RGB_NEIGHBOUR, true);				

					Mat test;
					test.create(objImageDataPtr->GetHeight(), objImageDataPtr->GetWidth(), CV_8UC3);
					memcpy(test.data, pRGB24Buffer, objImageDataPtr->GetPayloadSize() * 3);
					namedWindow("测试", 0);
					imshow("测试", test);
					//waitKey(10);
					test.copyTo(src);
					//system("pause");
					if (waitKey(20)==27)
					{
						a = 0;
						break;
					}
				}
			}
			

			//发送停采命令
			ObjFeatureControlPtr->GetCommandFeature("AcquisitionStop")->Execute();
			ObjStreamPtr->StopGrab();

			//释放资源
			ObjStreamPtr->Close();
			ObjDevicePtr->Close();
		} while (false);
	}
	catch (CGalaxyException&e)
	{
		cout << "错误码: " << e.GetErrorCode() << endl;
		cout << "错误描述信息: " << e.what() << endl;
	}
	catch (std::exception&e)
	{
		cout << "错误描述信息: " << e.what() << endl;
	}

	//反初始化库
	IGXFactory::GetInstance().Uninit();

	return 0;
}

问题解决:

问题一【图示】:该问题为库的配置没有连接好,解决方案:查看配置(ilb、inc、dll)的文件缺省,检测完成,重启电脑。

问题二【图示】:图片流转Mat的问题

问题三【运行一次正常,如果手动中断程序,则不能再次访问相机】:

只能重启相机电源,因为该相机没有自动清除网络占有

第四步:MFC联合SDK进行项目开发之一(MFC相机界面)

 

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转载自blog.csdn.net/weixin_41275726/article/details/84893125