一个采图工具，所以界面做的很简单。
private SapAcquisition m_Acquisition;
private SapBuffer m_Buffers;
private SapAcqToBuf m_Xfer;
private SapView m_View;
private SapColorConversion m_ColorConv;
private SapProcessing m_Pro;
private SapLocation m_ServerLocation;
private String m_ConfigFileName;
private String m_Executetime;
private bool m_IsSignalDetected;
private bool m_online;
public bool CreateNewObjects()
{
m_ServerLocation = new SapLocation("Xtium-CL_MX4_1", 2);//第一位是显卡名称，第二位是选择模式的第几项
m_ConfigFileName = "22N_No_Name_Default_Default.ccf";//配置文件路径
m_Acquisition = new SapAcquisition(m_ServerLocation, m_ConfigFileName);
if (SapBuffer.IsBufferTypeSupported(m_ServerLocation, SapBuffer.MemoryType.ScatterGather))
m_Buffers = new SapBufferWithTrash(2, m_Acquisition, SapBuffer.MemoryType.ScatterGather);
else
m_Buffers = new SapBufferWithTrash(2, m_Acquisition, SapBuffer.MemoryType.ScatterGatherPhysical);
m_Xfer = new SapAcqToBuf(m_Acquisition, m_Buffers);
m_ColorConv = new SapColorConversion(m_Acquisition, m_Buffers);
m_Xfer.Pairs[0].EventType = SapXferPair.XferEventType.EndOfFrame;
m_Xfer.XferNotify += new SapXferNotifyHandler(xfer_XferNotify);
m_Xfer.XferNotifyContext = this;
m_Pro = new SapMyProcessing(m_Buffers, m_ColorConv, new SapProcessingDoneHandler(ProCallback), this);
if (!CreateObjects())
{
DestroyObjects();
DisposeObjects();
return false;
}
EnableSignalStatus();
return true;
}
//这项函数官方demo是用来显示帧率的，但是我这里不需要所以就没写成果，但是要加这个函数，否则持续收罗的时候就只会拍两张照片。
static void ProCallback(object sender, SapProcessingDoneEventArgs pInfo)
{
Form1 demo = pInfo.Context as Form1;
}
private bool CreateObjects()
{
// Create acquisition object
if (m_Acquisition != null && !m_Acquisition.Initialized)
{
if (m_Acquisition.Create() == false)
{
DestroyObjects();
return false;
}
}
// Create buffer object
if (m_Buffers != null && !m_Buffers.Initialized)
{
if (m_Buffers.Create() == false)
{
DestroyObjects();
return false;
}
m_Buffers.Clear();
}
// Create color conversion object
if (m_ColorConv != null && !m_ColorConv.Initialized)
{
if (m_ColorConv.Create() == false)
{
DestroyObjects();
return false;
}
}
// Create view object
if (m_View != null && !m_View.Initialized)
{
if (m_ColorConv != null && m_ColorConv.Initialized)
{
// Set buffer to be viewed
// When using hardware color decoder, view the acquired RGB buffer,
// otherwise, for software color conversion, view the converted RGB buffer.
SapBuffer convBuffer = m_ColorConv.OutputBuffer;
if (convBuffer != null && convBuffer.Initialized)
m_View.Buffer = convBuffer;
else
m_View.Buffer = m_Buffers;
}
if (m_View.Create() == false)
{
DestroyObjects();
return false;
}
}
// Create Xfer object
if (m_Xfer != null && !m_Xfer.Initialized)
{
if (m_Xfer.Create() == false)
{
DestroyObjects();
return false;
}
m_Xfer.AutoEmpty = false;
}
// Create processing object
if (m_Pro != null && !m_Pro.Initialized)
{
if (!m_Pro.Create())
{
DestroyObjects();
return false;
}
m_Pro.AutoEmpty = true;
}
return true;
}
private void DestroyObjects()
{
if (m_Xfer != null && m_Xfer.Initialized)
m_Xfer.Destroy();
if (m_Pro != null && m_Pro.Initialized)
m_Pro.Destroy();
if (m_View != null && m_View.Initialized)
m_View.Destroy();
if (m_ColorConv != null && m_ColorConv.Initialized)
m_ColorConv.Destroy();
if (m_Buffers != null && m_Buffers.Initialized)
m_Buffers.Destroy();
if (m_Acquisition != null && m_Acquisition.Initialized)
m_Acquisition.Destroy();
}
private void DisposeObjects()
{
if (m_Xfer != null)
{ m_Xfer.Dispose(); m_Xfer = null; }
if (m_Pro != null)
{ m_Pro.Dispose(); m_Pro = null; }
if (m_View != null)
{ m_View.Dispose(); m_View = null; }
if (m_ColorConv != null)
{ m_ColorConv.Dispose(); m_ColorConv = null; }
if (m_Buffers != null)
{ m_Buffers.Dispose(); m_Buffers = null; }
if (m_Acquisition != null)
{ m_Acquisition.Dispose(); m_Acquisition = null; }
}
private void EnableSignalStatus()
{
if (m_Acquisition != null)
{
m_IsSignalDetected = (m_Acquisition.SignalStatus != SapAcquisition.AcqSignalStatus.None);
// if (m_IsSignalDetected == false)
// StatusLabelInfo.Text = "Online... No camera signal detected";
// else
// StatusLabelInfo.Text = "Online... Camera signal detected";
m_Acquisition.SignalNotifyEnable = true;
}
}
static void xfer_XferNotify(object sender, SapXferNotifyEventArgs argsNotify)
{
Form1 demo = argsNotify.Context as Form1;
// If grabbing in trash buffer, do not display the image, update the
// appropriate number of frames on the status bar instead
if (argsNotify.Trash)
return;
// Refresh view
else
{
demo.TakeImage();
demo.m_Pro.ExecuteNext();
}
}
private void button1_Click(object sender, EventArgs e)
{
m_Xfer.Grab();
}
private void button2_Click(object sender, EventArgs e)
{
m_Xfer.Freeze();
}
private void TakeImage()
{
try
{
SapBuffer m_pBuffer;
int m_StartFrame;
// SapBuffer.FileFormat[] m_StandardTypes;
m_pBuffer = m_Buffers;
m_StartFrame = m_pBuffer.Index; string m_Option = "-format jpeg -quality 30";
m_Buffers.Save(textBox2.Text, m_Option, m_StartFrame,0);
}
catch (Exception ex)
{
MessageBox.Show(ex.Message.ToString());
}
}
关于采图，上面用的是官方的SDK方法，因为我收罗的图片像素是8K*8K，原图BMP格局有256MB，压缩成30%质量的JPG也还有2.3MB摆布。
还有一种方法是用Bitmap来获取图片地点，，但是需要注意的一点。