QT5.13.1--opencv3.4.2--配置海康摄像头--Windows

环境介绍

  1. 安装好QT5.13.1,安装过程看我的QT5.13.1的安装文档
  2. 安装好MVS,这个百度下去官网下载即可。
  3. 配置好MSVC的环境,不能是MinGW的环境,不然配置不成功!!!这个的配置也可以参考我的MSVC2017安装文档。
  4. 配置QT的opencv环境,我这边配置的是opencv3.4.2

MVS需要验证,这个需要有权限
QT5.13.1--opencv3.4.2--配置海康摄像头--Windows_第1张图片
下面开始配置opencv–QT版本
找到下面对应的文件
QT5.13.1--opencv3.4.2--配置海康摄像头--Windows_第2张图片
QT5.13.1--opencv3.4.2--配置海康摄像头--Windows_第3张图片
复制上面的所有文件,然后拷贝到C:\Windows\SysWOW64这个文件夹下
QT5.13.1--opencv3.4.2--配置海康摄像头--Windows_第4张图片
然后创建QT工程,QT工程自己创建一个。然后找到工程文件,添加环境配置。
QT5.13.1--opencv3.4.2--配置海康摄像头--Windows_第5张图片
QT5.13.1--opencv3.4.2--配置海康摄像头--Windows_第6张图片
对着下面改,改成自己的对应的文件路径

win32: LIBS += -L’C:/Program Files(x86)/MVS/Development/Libraries/win64/’ -lMvCameraControl

INCLUDEPATH += ‘C:/Program Files (x86)/MVS/Development/Includes’

DEPENDPATH += ‘C:/Program Files (x86)/MVS/Development/Includes’

INCLUDEPATH+=D:/OpencvWorkspace/opencv_3.4.2_windows/build/include \ D:/OpencvWorkspace/opencv_3.4.2_windows/build/include/opencv \ D:/OpencvWorkspace/opencv_3.4.2_windows/build/include/opencv2

LIBS+=D:/OpencvWorkspace/opencv_3.4.2_windows/build/x64/vc15/lib/opencv_world342.lib \ D:/OpencvWorkspace/opencv_3.4.2_windows/build/x64/vc15/lib/opencv_world342d.lib

然后就可以使用海康摄像头了。

我这边对海康摄像头的代码进行了二次封装,可以通过一个函数即可获取到Mat对象。

QT5.13.1--opencv3.4.2--配置海康摄像头--Windows_第7张图片
上面的getImage_Mat就可以获取到当前摄像头拍摄的画面。
代码如下:

Camera.h

#include "MvCameraControl.h"
#include 
#include 
#include 
#include 
#include 
#include "string.h"


using namespace cv;

enum CONVERT_TYPE
{
	OpenCV_Mat = 0,    // Most of the time, we use 'Mat' format to store image data after OpenCV V2.1
	OpenCV_IplImage = 1,   //we may also use 'IplImage' format to store image data, usually before OpenCV V2.1
};

class Camera
{
public:
	Camera(unsigned int nFormat, unsigned int nIndex);
	~Camera();
	bool setnIndex(unsigned int nIndex);
	bool setnFormat(unsigned int nFormat);
	void Stop();
	Mat getImage_Mat();

protected:
	void Start();
	void openDevice(void);
	void creatHandle(void);
	void enumDevice(void);
	void WaitForKeyPress(void);
	bool PrintDeviceInfo(MV_CC_DEVICE_INFO* pstMVDevInfo);
	int RGB2BGR(unsigned char* pRgbData, unsigned int nWidth, unsigned int nHeight);
	bool Convert2Mat(MV_FRAME_OUT_INFO_EX* pstImageInfo, unsigned char* pData, Mat& img);


private:
	unsigned int g_nPayloadSize;
	int nRet;
	void* handle;
	unsigned char* pData;
	unsigned int nFormat;
	unsigned int nIndex;
	MV_CC_DEVICE_INFO_LIST stDeviceList;  //驱动设备结构体
	MV_FRAME_OUT_INFO_EX stImageInfo;
};

Camera.cpp

#include "Camera.h"
#include 

using namespace std;

/// 
/// 
/// <构造函数>
/// <图像生成的类型 0-OpenCV_Mat  1-OpenCV_IplImage>
/// <设备连接选择>
Camera::Camera(unsigned int nFormat, unsigned int nIndex)
{
	// chose the format to convert
	this->nFormat = nFormat;
	if (nFormat >= 2)
	{
		printf("Input error!\n");
		exit(-1);
	}
	this->nIndex = nIndex;

	this->g_nPayloadSize = 0;
	this->nRet = MV_OK;
    this->handle = nullptr;
    this->pData = nullptr;
	memset(&stDeviceList, 0, sizeof(MV_CC_DEVICE_INFO_LIST));
	memset(&stImageInfo, 0, sizeof(MV_FRAME_OUT_INFO_EX));
	this->Start();
}
Camera::~Camera()
{
	this->Stop();
	return;
}
/// 
/// 
/// <选择驱动的摄像头>
/// <设备号>
///  bool-true设置成功
bool Camera::setnIndex(unsigned int nIndex)
{
	this->nIndex = nIndex;
	if (this->nIndex >= stDeviceList.nDeviceNum)
	{
		printf("Input error!\n");
		exit(-1);
	}
	this->Start();
	return true;
}
/// 
/// 设置图像读取的类型
/// 
///   0-OpenCV_Mat  1-OpenCV_IplImage
/// bool  是否成功
bool Camera::setnFormat(unsigned int nFormat)
{
	this->nFormat = nFormat;
	if (this->nFormat >= 2)
	{
		printf("Input error!\n");
		exit(-1);
	}
	this->Start();
	return true;
}
/// 
/// 
/// <获取opencv2.0版本以上的Mat对象>
/// 
Mat Camera::getImage_Mat()
{
	Mat img;
	// get one frame from camera with timeout=1000ms
	//memset(pData, 0, );
	nRet = MV_CC_GetOneFrameTimeout(handle, pData, g_nPayloadSize, &stImageInfo, 1000);
	if (nRet == MV_OK)
	{
		printf("Get One Frame: Width[%d], Height[%d], nFrameNum[%d]\n",
			stImageInfo.nWidth, stImageInfo.nHeight, stImageInfo.nFrameNum);
	}
	else
	{
		printf("No data[0x%x]\n", nRet);
		free(pData);
		pData = NULL;
		exit(-1);
	}

	// 数据去转换
	bool bConvertRet = false;
	if (0 == nFormat)
	{
		bConvertRet = Convert2Mat(&stImageInfo, pData, img);
        cout<<"img size = "<<img.cols<<"  "<<img.rows<<endl;
	}
	else
	{
		cout << "error: 数据格式有问题" << endl;
		return Mat();
	}
	// print result
	if (bConvertRet)
	{
		printf("OpenCV format convert success.\n");
	}
	else
	{
		printf("OpenCV format convert failed.\n");
		free(pData);
		pData = NULL;
		exit(-1);
	}
	return img;
}
/// 
/// 
/// <打开驱动>
/// 
void Camera::openDevice(void)
{
	nRet = MV_CC_OpenDevice(handle);
	if (MV_OK != nRet)
	{
		printf("Open Device fail! nRet [0x%x]\n", nRet);
		exit(-1);
	}
}
/// 
/// 
/// <创建文件头部信息>
/// 
void Camera::creatHandle(void)
{
	nRet = MV_CC_CreateHandle(&handle, stDeviceList.pDeviceInfo[nIndex]);
	if (MV_OK != nRet)
	{
		printf("Create Handle fail! nRet [0x%x]\n", nRet);
		exit(-1);
	}
}
/// 
/// 
/// <获取驱动设备>
/// 
void Camera::enumDevice(void)
{
	nRet = MV_CC_EnumDevices(MV_GIGE_DEVICE | MV_USB_DEVICE, &stDeviceList);
	if (MV_OK != nRet)
	{
		printf("Enum Devices fail! nRet [0x%x]\n", nRet);
		exit(-1);
	}

	if (stDeviceList.nDeviceNum > 0)
	{
		for (unsigned int i = 0; i < stDeviceList.nDeviceNum; i++)
		{
			printf("[device %d]:\n", i);
			MV_CC_DEVICE_INFO* pDeviceInfo = stDeviceList.pDeviceInfo[i];
			if (NULL == pDeviceInfo)
			{
				break;
			}
			PrintDeviceInfo(pDeviceInfo);
		}
	}
	else
	{
		printf("Find No Devices!\n");
		exit(-1);
	}
}
// Wait for key pres
void Camera::WaitForKeyPress(void)
{
	while (!_kbhit())
	{
		Sleep(10);
	}
	_getch();
}
// print the discovered devices information to user
bool Camera::PrintDeviceInfo(MV_CC_DEVICE_INFO* pstMVDevInfo)
{
	if (NULL == pstMVDevInfo)
	{
		printf("The Pointer of pstMVDevInfo is NULL!\n");
		return false;
	}
	if (pstMVDevInfo->nTLayerType == MV_GIGE_DEVICE)
	{
		int nIp1 = ((pstMVDevInfo->SpecialInfo.stGigEInfo.nCurrentIp & 0xff000000) >> 24);
		int nIp2 = ((pstMVDevInfo->SpecialInfo.stGigEInfo.nCurrentIp & 0x00ff0000) >> 16);
		int nIp3 = ((pstMVDevInfo->SpecialInfo.stGigEInfo.nCurrentIp & 0x0000ff00) >> 8);
		int nIp4 = (pstMVDevInfo->SpecialInfo.stGigEInfo.nCurrentIp & 0x000000ff);

		// print current ip and user defined name
		printf("CurrentIp: %d.%d.%d.%d\n", nIp1, nIp2, nIp3, nIp4);
		printf("UserDefinedName: %s\n\n", pstMVDevInfo->SpecialInfo.stGigEInfo.chUserDefinedName);
	}
	else if (pstMVDevInfo->nTLayerType == MV_USB_DEVICE)
	{
		printf("UserDefinedName: %s\n", pstMVDevInfo->SpecialInfo.stUsb3VInfo.chUserDefinedName);
		printf("Serial Number: %s\n", pstMVDevInfo->SpecialInfo.stUsb3VInfo.chSerialNumber);
		printf("Device Number: %d\n\n", pstMVDevInfo->SpecialInfo.stUsb3VInfo.nDeviceNumber);
	}
	else
	{
		printf("Not support.\n");
	}

	return true;
}

int Camera::RGB2BGR(unsigned char* pRgbData, unsigned int nWidth, unsigned int nHeight)
{
	if (NULL == pRgbData)
	{
		return MV_E_PARAMETER;
	}

	for (unsigned int j = 0; j < nHeight; j++)
	{
		for (unsigned int i = 0; i < nWidth; i++)
		{
			unsigned char red = pRgbData[j * (nWidth * 3) + i * 3];
			pRgbData[j * (nWidth * 3) + i * 3] = pRgbData[j * (nWidth * 3) + i * 3 + 2];
			pRgbData[j * (nWidth * 3) + i * 3 + 2] = red;
		}
	}

	return MV_OK;
}
// convert data stream in Mat format
bool Camera::Convert2Mat(MV_FRAME_OUT_INFO_EX* pstImageInfo, unsigned char* pData, Mat& img)
{
	if (pstImageInfo->enPixelType == PixelType_Gvsp_Mono8)
	{
		img = Mat(pstImageInfo->nHeight, pstImageInfo->nWidth, CV_8UC1, pData);
	}
	else if (pstImageInfo->enPixelType == PixelType_Gvsp_RGB8_Packed)
	{
		RGB2BGR(pData, pstImageInfo->nWidth, pstImageInfo->nHeight);
		img = Mat(pstImageInfo->nHeight, pstImageInfo->nWidth, CV_8UC3, pData);
	}
	else
	{
		printf("unsupported pixel format\n");
		return false;
	}

	if (NULL == img.data)
	{
		return false;
	}

	return true;
}
/// 
/// 
/// <停止>
void Camera::Stop()
{
	// Stop grab image
	nRet = MV_CC_StopGrabbing(handle);
	if (MV_OK != nRet)
	{
		printf("Stop Grabbing fail! nRet [0x%x]\n", nRet);
		exit(-1);
	}

	// Close device
	nRet = MV_CC_CloseDevice(handle);
	if (MV_OK != nRet)
	{
		printf("ClosDevice fail! nRet [0x%x]\n", nRet);
		exit(-1);
	}

	// Destroy handle
	nRet = MV_CC_DestroyHandle(handle);
	if (MV_OK != nRet)
	{
		printf("Destroy Handle fail! nRet [0x%x]\n", nRet);
		exit(-1);
	}
}
/// 
/// 
/// <启动,每次重新数据都要启动>
void Camera::Start()
{
	// Enum device
	this->enumDevice();
	// Select device and create handle
	this->creatHandle();
	// open device
	this->openDevice();
	// Detection network optimal package size(It only works for the GigE camera)
	if (stDeviceList.pDeviceInfo[nIndex]->nTLayerType == MV_GIGE_DEVICE)
	{
		int nPacketSize = MV_CC_GetOptimalPacketSize(handle);
		if (nPacketSize > 0)
		{
			nRet = MV_CC_SetIntValue(handle, "GevSCPSPacketSize", nPacketSize);
			if (nRet != MV_OK)
			{
				printf("Warning: Set Packet Size fail nRet [0x%x]!", nRet);
			}
		}
		else
		{
			printf("Warning: Get Packet Size fail nRet [0x%x]!", nPacketSize);
		}
	}

	// Set trigger mode as off
	nRet = MV_CC_SetEnumValue(handle, "TriggerMode", 0);
	if (MV_OK != nRet)
	{
		printf("Set Trigger Mode fail! nRet [0x%x]\n", nRet);
		exit(-1);
	}

	// Get payload size
	MVCC_INTVALUE stParam;
	memset(&stParam, 0, sizeof(MVCC_INTVALUE));
	nRet = MV_CC_GetIntValue(handle, "PayloadSize", &stParam);
	if (MV_OK != nRet)
	{
		printf("Get PayloadSize fail! nRet [0x%x]\n", nRet);
		exit(-1);
	}
	g_nPayloadSize = stParam.nCurValue;

	// Start grab image
	nRet = MV_CC_StartGrabbing(handle);
	if (MV_OK != nRet)
	{
		printf("Start Grabbing fail! nRet [0x%x]\n", nRet);
		exit(-1);
	}

	this->pData = (unsigned char*)malloc(sizeof(unsigned char) * (g_nPayloadSize));
	if (this->pData == NULL)
	{
		printf("Allocate memory failed.\n");
		exit(-1);
	}

}

连接海康摄像头可以采用下面的默认配置

//连接海康摄像头
this->HK = new Camera(OpenCV_Mat, 0);

最后的效果:
QT5.13.1--opencv3.4.2--配置海康摄像头--Windows_第8张图片

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