public void InitilizeDeepLearningNetwork(int gpu = 0)
{
if (m_NetConf == null)
{
m_NetConf = new NetConfigaration();
}
InitializeNetInGpu(m_NetConf.ConfigFile, m_NetConf.Weightfile);
DetectionHardware = DetectionHardwares.GPU;
var lines = File.ReadAllLines(m_NetConf.NamesFile);
for (var i = 0; i < lines.Length; i++)
{
m_ObjectType.Add(i, lines[i]);
}
}
public void InitilizeDeepLearningNetwork(int gpu = 0)
{
if (m_NetConf == null)
{
m_NetConf = new NetConfigaration();
}
HardwareReport = new HardwareReports();
DetectionHardware = DetectionHardwares.CPU;
if (HardwareReport.IsCudaExists && HardwareReport.IsCudnnExists)
{
DetectionHardware = DetectionHardwares.GPU;
}
switch (DetectionHardware)
{
case DetectionHardwares.CPU:
InitializeNetInCpu(m_NetConf.ConfigFile, m_NetConf.Weightfile, 0);
break;
case DetectionHardwares.GPU:
var deviceCount = GetDeviceCount();
if (gpu > (deviceCount - 1))
{
throw new IndexOutOfRangeException("Graphic device index is out of range");
}
var deviceName = new StringBuilder();
GetDeviceName(gpu, deviceName);
HardwareReport.GraphicDeviceName = deviceName.ToString();
InitializeNetInGpu(m_NetConf.ConfigFile, m_NetConf.Weightfile, gpu);
break;
default:
break;
}
var lines = File.ReadAllLines(m_NetConf.NamesFile);
for (var i = 0; i < lines.Length; i++)
{
m_ObjectType.Add(i, lines[i]);
}
}
