/// <summary>
/// The SettingsCaffe constructor used during deserialization.
/// </summary>
/// <param name="info">Specifies the serialization information.</param>
/// <param name="context">Specifies the serialization context.</param>
public SettingsCaffe(SerializationInfo info, StreamingContext context)
{
m_bEnableLabelBalancing = getBool(info, "bEnableLabelBalancing", m_bEnableLabelBalancing);
m_bEnableLabelBoosting = getBool(info, "bEnableLabelBoosting", m_bEnableLabelBoosting);
m_bEnableRandomInputSelection = getBool(info, "bEnableRandomInputSelection", m_bEnableRandomInputSelection);
m_bEnablePairInputSelection = getBool(info, "bEnablePairInputSelection", m_bEnablePairInputSelection);
m_bUseTrainingSourceForTesting = getBool(info, "bUseTrainingSourceForTesting", m_bUseTrainingSourceForTesting);
m_dfSuperBoostProbability = getDouble(info, "dfSuperBoostProbability", m_dfSuperBoostProbability);
m_nMaximumIterationOverride = getInt(info, "nMaximumIterationOverride", m_nMaximumIterationOverride);
m_nTestingIterationOverride = getInt(info, "nTestingIterationOverride", m_nTestingIterationOverride);
m_strDefaultModelGroup = info.GetString("strDefaultModelGroup");
m_strGpuIds = getString(info, "strGpuIds", m_strGpuIds);
m_nMaskAllButLastColumns = getInt(info, "nMaskAllButLastColumns", m_nMaskAllButLastColumns);
m_imageDbLoadMethod = (IMAGEDB_LOAD_METHOD)getInt(info, "ImageDbLoadMethod", (int)m_imageDbLoadMethod);
m_nImageDbLoadLimit = getInt(info, "ImageDbLoadLimit", m_nImageDbLoadLimit);
m_snapshotWeightUpdateMethod = (SNAPSHOT_WEIGHT_UPDATE_METHOD)getInt(info, "SnapshotWeightUpdateMethod", (int)m_snapshotWeightUpdateMethod);
m_snapshotLoadMethod = (SNAPSHOT_LOAD_METHOD)getInt(info, "SnapshotLoadMethod", (int)m_snapshotLoadMethod);
}
/// <summary>
/// The SettingsCaffe constructor that copies another SettingsCaffe instance.
/// </summary>
public SettingsCaffe(SettingsCaffe s)
{
m_nMaskAllButLastColumns = s.m_nMaskAllButLastColumns;
m_bEnableLabelBalancing = s.m_bEnableLabelBalancing;
m_bEnableLabelBoosting = s.m_bEnableLabelBoosting;
m_bEnableRandomInputSelection = s.m_bEnableRandomInputSelection;
m_bEnablePairInputSelection = s.m_bEnablePairInputSelection;
m_bUseTrainingSourceForTesting = s.m_bUseTrainingSourceForTesting;
m_dfSuperBoostProbability = s.m_dfSuperBoostProbability;
m_nMaximumIterationOverride = s.m_nMaximumIterationOverride;
m_nTestingIterationOverride = s.m_nTestingIterationOverride;
m_strDefaultModelGroup = s.m_strDefaultModelGroup;
m_strGpuIds = s.m_strGpuIds;
m_imageDbLoadMethod = s.m_imageDbLoadMethod;
m_nImageDbLoadLimit = s.m_nImageDbLoadLimit;
m_snapshotWeightUpdateMethod = s.m_snapshotWeightUpdateMethod;
m_snapshotLoadMethod = s.m_snapshotLoadMethod;
}
/// <summary>
/// The SettingsCaffe constructor used during deserialization.
/// </summary>
/// <param name="info">Specifies the serialization information.</param>
/// <param name="context">Specifies the serialization context.</param>
public SettingsCaffe(SerializationInfo info, StreamingContext context)
{
m_imgDbVersion = (IMGDB_VERSION)getInt(info, "ImageDbVersion", (int)m_imgDbVersion);
m_bEnableLabelBalancing = getBool(info, "bEnableLabelBalancing", m_bEnableLabelBalancing);
m_bEnableLabelBoosting = getBool(info, "bEnableLabelBoosting", m_bEnableLabelBoosting);
m_bEnableRandomInputSelection = getBool(info, "bEnableRandomInputSelection", m_bEnableRandomInputSelection);
m_bEnablePairInputSelection = getBool(info, "bEnablePairInputSelection", m_bEnablePairInputSelection);
m_bUseTrainingSourceForTesting = getBool(info, "bUseTrainingSourceForTesting", m_bUseTrainingSourceForTesting);
m_dfSuperBoostProbability = getDouble(info, "dfSuperBoostProbability", m_dfSuperBoostProbability);
m_nMaximumIterationOverride = getInt(info, "nMaximumIterationOverride", m_nMaximumIterationOverride);
m_nTestingIterationOverride = getInt(info, "nTestingIterationOverride", m_nTestingIterationOverride);
m_strDefaultModelGroup = info.GetString("strDefaultModelGroup");
m_strGpuIds = getString(info, "strGpuIds", m_strGpuIds);
m_imageDbLoadMethod = (IMAGEDB_LOAD_METHOD)getInt(info, "ImageDbLoadMethod", (int)m_imageDbLoadMethod);
m_nImageDbLoadLimit = getInt(info, "ImageDbLoadLimit", m_nImageDbLoadLimit);
m_nAutoRefreshScheduledUpdateInMs = getInt(info, "ImageDbAutoRefreshScheduledUpdateInMs", m_nAutoRefreshScheduledUpdateInMs);
m_dfAutoRefreshScheduledReplacementPct = getDouble(info, "ImageDbAutoRefreshReplacementPct", m_dfAutoRefreshScheduledReplacementPct);
m_bImageDbLoadDataCriteria = getBool(info, "ImageDbLoadDataCriteria", m_bImageDbLoadDataCriteria);
m_bImageDbLoadDebugData = getBool(info, "ImageDbLoadDebugData", m_bImageDbLoadDebugData);
m_snapshotWeightUpdateMethod = (SNAPSHOT_WEIGHT_UPDATE_METHOD)getInt(info, "SnapshotWeightUpdateMethod", (int)m_snapshotWeightUpdateMethod);
m_snapshotLoadMethod = (SNAPSHOT_LOAD_METHOD)getInt(info, "SnapshotLoadMethod", (int)m_snapshotLoadMethod);
m_bSkipMeanCheck = getBool(info, "SkipMeanCheck", m_bSkipMeanCheck);
}
/// <summary>
/// The SettingsCaffe constructor that copies another SettingsCaffe instance.
/// </summary>
public SettingsCaffe(SettingsCaffe s)
{
m_imgDbVersion = s.m_imgDbVersion;
m_bEnableLabelBalancing = s.m_bEnableLabelBalancing;
m_bEnableLabelBoosting = s.m_bEnableLabelBoosting;
m_bEnableRandomInputSelection = s.m_bEnableRandomInputSelection;
m_bEnablePairInputSelection = s.m_bEnablePairInputSelection;
m_bUseTrainingSourceForTesting = s.m_bUseTrainingSourceForTesting;
m_dfSuperBoostProbability = s.m_dfSuperBoostProbability;
m_nMaximumIterationOverride = s.m_nMaximumIterationOverride;
m_nTestingIterationOverride = s.m_nTestingIterationOverride;
m_strDefaultModelGroup = s.m_strDefaultModelGroup;
m_strGpuIds = s.m_strGpuIds;
m_imageDbLoadMethod = s.m_imageDbLoadMethod;
m_nImageDbLoadLimit = s.m_nImageDbLoadLimit;
m_nAutoRefreshScheduledUpdateInMs = s.m_nAutoRefreshScheduledUpdateInMs;
m_dfAutoRefreshScheduledReplacementPct = s.m_dfAutoRefreshScheduledReplacementPct;
m_bImageDbLoadDataCriteria = s.m_bImageDbLoadDataCriteria;
m_bImageDbLoadDebugData = s.m_bImageDbLoadDebugData;
m_snapshotWeightUpdateMethod = s.m_snapshotWeightUpdateMethod;
m_snapshotLoadMethod = s.m_snapshotLoadMethod;
m_bSkipMeanCheck = s.m_bSkipMeanCheck;
}
