3d线扫获取图片

相机链接

SR7LinkFunc.SR7IF_EthernetOpen(LaserCamera3D_ID, ref pEthernetConfig);

设置回调函数

获取数据x方向间距

LaserCamera3D_XInterval = SR7LinkFunc.SR7IF_ProfileData_XPitch(LaserCamera3D_ID, new IntPtr());

获取数据宽度

LaserCamera3D_Width = SR7LinkFunc.SR7IF_ProfileDataWidth(LaserCamera3D_ID, new IntPtr());

获取当前批处理行数

LaserCamera3D_Height = SR7LinkFunc.SR7IF_ProfilePointSetCount(LaserCamera3D_ID, new IntPtr());

通过上面获取的高度和行数初始化高度图和灰度图

internal int\[\]\[\] LaserCamera3D_HeightData = new int2\[\] { null, null }; //高度数据缓存

internal byte\[\]\[\] LaserCamera3D_GrayData = new byte2\[\] { null, null }; //灰度数据缓存

internal int\[\]\[\] LaserCamera3D_EncoderData = new int2\[\] { null, null }; //编码器数据缓存

/// <summary>

/// 初始化m_HeightData,m_GrayData,m_EncoderData

/// </summary>

/// <param name="Height"></param>

/// <param name="Width"></param>

/// <returns></returns>

internal int InitData(int Height, int Width)

{

try

{

for (int index = 0; index < LaserCamera3D_CameraNum; index++)

{

LaserCamera3D_HeightDataindex = new intHeight \* Width;

LaserCamera3D_GrayDataindex = new byteHeight \* Width;

LaserCamera3D_EncoderDataindex = new intHeight;

for (int i = 0; i < LaserCamera3D_HeightDataindex.Length; i++)

{

LaserCamera3D_HeightDataindexi = -1000000000;

}

for (int i = 0; i < LaserCamera3D_GrayDataindex.Length; i++)

{

LaserCamera3D_GrayDataindexi = byte.MinValue;

}

for (int i = 0; i < LaserCamera3D_EncoderDataindex.Length; i++)

{

LaserCamera3D_EncoderDataindexi = int.MinValue;

}

}

return 0;

}

catch (Exception e)

{

return -1;

}

声明回调函数

/// <summary>

/// 一次回调模式获取图像,仅需调用一次

/// </summary>

/// <param name="_DataCallBackMode"></param>

internal int LaserCamera3D_InitOnetimeCallBack()

{//注册取图完成回调函数

Console.WriteLine("SR7IF_SetBatchOneTimeDataHandler => BatchOneTimeCallBack.");

LaserCamera3D_BatchOneTimeCallBack = new SR7IF_BatchOneTimeCallBack(BatchOneTimeCallBack);

return SR7LinkFunc.SR7IF_SetBatchOneTimeDataHandler((int)LaserCamera3D_ID, LaserCamera3D_BatchOneTimeCallBack);

}

回调函数里面写的内容

public struct SR7IF_STR_CALLBACK_INFO

{

public int xPoints; //x方向数据数量

public int BatchPoints; //批处理数量

public int BatchTimes; //批处理次数

public double xPixth; //x方向点间距

public int startEncoder; //批处理开始编码器值

public int HeadNumber; //相机头数量

public int returnStatus; //0:正常批处理

}

/// <summary>

/// 一次回调函数

/// </summary>

/// <param name="info"></param>

/// <param name="data"></param>

internal void BatchOneTimeCallBack(IntPtr info, IntPtr data)

{

Console.WriteLine("BatchOneTimeCallBack Invoked.");

lock (LaserCamera3D_Obj)

{

if (LaserCamera3D_InInspecting)

{

Console.WriteLine("RouteInspect3D is inspecting, return BatchOneTimeCallBack.");

return;

}

}

if (!LaserCamera3D_Connected)

{

lock (LaserCamera3D_Obj)

{

LaserCamera3D_Finished = true;

Console.WriteLine("LaserCamera3D_Finished = true");

}

Console.WriteLine("BatchOneTimeCallBack return because !LaserCamera3D_Connected.");

return;

}

SR7IF_STR_CALLBACK_INFO coninfo = new SR7IF_STR_CALLBACK_INFO();

coninfo = (SR7IF_STR_CALLBACK_INFO)Marshal.PtrToStructure(info, typeof(SR7IF_STR_CALLBACK_INFO));

//if (coninfo.returnStatus != -100 && coninfo.returnStatus < 0)

if (coninfo.returnStatus != 0)

{

lock (LaserCamera3D_Obj)

{

LaserCamera3D_Finished = true;

Console.WriteLine("LaserCamera3D_Finished = true");

}

Console.WriteLine("BatchOneTimeCallBack retrun fasle.");

return;

}

LaserCamera3D_Height = coninfo.BatchPoints;

LaserCamera3D_Width = coninfo.xPoints;

if (LaserCamera3D_CameraNum == 2)

{

LaserCamera3D_Width = 2 * coninfo.xPoints;

}

if (coninfo.BatchPoints * coninfo.xPoints != LaserCamera3D_HeightData0.Length)

{

InitData(coninfo.BatchPoints, coninfo.xPoints);

}

IntPtr\[\] mTmpData = new IntPtr2;

IntPtr\[\] mTmpGraydata = new IntPtr2;

IntPtr\[\] mTmpEncoderdata = new IntPtr2;

bool bReceivedData = false;

for (int index = 0; index < coninfo.HeadNumber; index++)

{

Console.WriteLine("coninfo.HeadNumber > 0");

批处理轮廓获取(批处理一次回调一次)

mTmpDataindex = SR7LinkFunc.SR7IF_GetBatchProfilePoint(data, index);

批处理编码器获取(批处理一次回调一次)

mTmpEncoderdataindex = SR7LinkFunc.SR7IF_GetBatchEncoderPoint(data, index);

if (mTmpDataindex != IntPtr.Zero)

{

Marshal.Copy(mTmpDataindex, LaserCamera3D_HeightDataindex, 0, LaserCamera3D_Height * coninfo.xPoints);

}

if (LaserCamera3D_ImageType == 0)

{

批处理亮度获取(批处理一次回调一次)

mTmpGraydataindex = SR7LinkFunc.SR7IF_GetBatchIntensityPoint(data, index);

if (mTmpGraydataindex != IntPtr.Zero)

{

{

bReceivedData = true;

Console.WriteLine("copy new data........");

Marshal.Copy(mTmpGraydataindex, LaserCamera3D_GrayDataindex, 0, LaserCamera3D_Height * coninfo.xPoints);

}

}

else

{

Console.WriteLine("mTmpGraydataindex == IntPtr.Zero");

}

}

else

{

Console.WriteLine("LaserCamera3D_ImageType != 0");

}

if (mTmpEncoderdataindex != IntPtr.Zero)

{

Marshal.Copy(mTmpEncoderdataindex, LaserCamera3D_EncoderDataindex, 0, LaserCamera3D_Height);

}

}

lock (LaserCamera3D_Obj)

{

if (bReceivedData)

{

LaserCamera3D_Finished = true;

Console.WriteLine("LaserCamera3D_Finished = true");

}

}

GC.Collect();

Console.WriteLine("BatchOneTimeCallBack End.");

}

//批处理点数

int nBatchNum = 5000;

LaserCamera3D_SetParam(0, -1, 0x000A, nBatchNum);

Console.WriteLine("重置扫描行数:" + nBatchNum.ToString());

//细化点数

int nRefining_points = 0;

LaserCamera3D_GetParam(0, -1, 0x0009, out nRefining_points);

Console.WriteLine("获取细化点数:" + nRefining_points.ToString());

//批处理点数

int nBatchNum2 = 0;

LaserCamera3D_GetParam(0, -1, 0x000A, out nBatchNum2);

Console.WriteLine("获取重置扫描行数:" + nBatchNum2.ToString());

//采样周期

int nSampled_cycle = 0;

LaserCamera3D_GetParam(0, -1, 0x0002, out nSampled_cycle);

Console.WriteLine("相机接收频率:" + nSampled_cycle.ToString());

相关推荐
lizhihai_992 小时前
股市学习心得-AI 产业链核心标的梳理清单
大数据·服务器·人工智能·科技·学习
云计算磊哥@2 小时前
运维开发宝典026-MySQL02数据库表操作
运维·数据库·运维开发
黄同学real2 小时前
解决 Visual Studio Web Deploy 远程发布报 401 未授权 (ERROR\_USER\_UNAUTHORIZED)
服务器
天天进步20153 小时前
Tunnelto 源码解析 #9:控制服务器设计:Warp、WebSocket、Ping/Pong 与连接保活
运维·服务器·websocket
极客先躯3 小时前
高级java每日一道面试题-2026年02月01日-实战篇[Docker]-Docker Volume 的生命周期管理是怎样的?
java·运维·docker·容器·持久化·架构图·容器卷
Java面试题总结4 小时前
Linux-Ubantu-贴士-apt的地盘
linux·运维·服务器
●VON4 小时前
AtomGit Flutter鸿蒙客户端:数据模型
android·服务器·安全·flutter·harmonyos·鸿蒙
志栋智能4 小时前
超自动化巡检:提升MTTR,缩短业务影响时间
运维·自动化
酉鬼女又兒4 小时前
零基础入门计算机网络:网络层核心任务、三大关键问题、两种服务类型与 TCP/IP 网际层协议体系全解析
服务器·网络·网络协议·tcp/ip·计算机网络·php·求职招聘
kong@react4 小时前
Rocky Linux 10.2 全面解析:企业级 CentOS 替代方案及保姆级docker安装
java·linux·运维·docker