大恒水晶相机_opencv打开大恒水晶相机教程
opencv打开图像的方式和自带程序打开方式不同，因此需要调用相机的封装程序。依赖文件：
1.驱动----需要安装相机软件
2.头文件-----一般在Samples里面
3.lib库------也在Samples里面VC SDK/lib
步骤一： 按步骤安装相机驱动(测试安装后能够打开)
步骤二：
2.1 新建VS项目，将驱动按装文件里面的 VC SDK/inc 拷贝到工程目录下，并配置 vs属性管理器(添加头文件)
$(SolutionDir)include
#include "GxIAPI.h"
#include "DxImageProc.h"
2.2 将相应的lib 添加到 工程目录下(一般新建lib文件)， vs属性管理器配置，添加库目录($(SolutionDir)lib\x64)
2.3 链接器/输入
DxImageProc.lib
GxIAPI.lib
3. 代码打开(读取内存)
// test.cpp : 定义控制台应用程序的入口点。
//
#include "stdafx.h"
#include "GxIAPI.h"
#include "DxImageProc.h"
#include #include #include #include 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 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;
}
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