} /* InitiateClass */
public void Increment(PicesClass mlClass,
float areaMM
)
{
if (mlClass == null)
{
mlClass = PicesClassList.GetUnKnownClassStatic();
}
ClassTotals2 classTotals = totals.LookUp(mlClass.Name);
if (classTotals == null)
{
classTotals = new ClassTotals2(mlClass.Name,
sizeInitial,
sizeGrowthFactor,
sizeEndRange,
bucketCount,
sizeBucketStart,
sizeBucketEnd
);
totals.Add(classTotals);
}
classTotals.Increment(areaMM);
} /* Increment */
private PicesPredictionList PredictClasses(PicesFeatureVector fv,
PicesPrediction pred1,
PicesPrediction pred2,
String imageFileName,
String imageFileRootName
)
{
PicesFeatureVector fvToUse = fv;
PicesPredictionList probPredList = null;
if (fvToUse.FeatureDataMissing)
{
fvToUse = null;
// Feature data is missing. we need to compute from original image.
PicesDataBaseImage pdbi = DbConn().ImageLoad(imageFileRootName);
if (pdbi != null)
{
PicesRaster pr = DbConn().ImageFullSizeFind(imageFileRootName);
if (pr == null)
{
ErrorMsgsAdd("Failed to Load FullSize image [" + imageFileRootName + "]");
}
else
{
fvToUse = new PicesFeatureVector(pr, imageFileName, null, runLog);
// Since we had to compute the FeatureDatya from the raster image we now need to
// get the instrument data that matches it.
PicesInstrumentData id = DbConn().InstrumentDataGetByScanLine(pdbi.SipperFileName, pdbi.TopLeftRow);
if (id != null)
{
fvToUse.AddInstrumentData(id);
}
DbConn().FeatureDataInsertRow(pdbi.SipperFileName, fvToUse);
pr.Dispose();
}
pr = null;
}
}
if (fvToUse != null)
{
classifier.PredictClass(fvToUse, pred1, pred2);
probPredList = classifier.PredictProbabilities(fvToUse);
}
else
{
pred1.MLClass = PicesClassList.GetUnKnownClassStatic(); pred1.Probability = 1.0f;
pred2.MLClass = PicesClassList.GetUnKnownClassStatic(); pred2.Probability = 0.0f;
}
return(probPredList);
} /* PredictClasses */
} /* SizeDistribution */
/// <summary>
/// Method used to guarantee that the specified class is included; even if none occur.
/// </summary>
/// <param name="mlClass">Class to add </param>
public void InitiateClass(PicesClass mlClass)
{
if (mlClass == null)
{
mlClass = PicesClassList.GetUnKnownClassStatic();
}
ClassTotals classTotals = totals.LookUp(mlClass.Name);
if (classTotals == null)
{
classTotals = new ClassTotals(mlClass.Name, bucketCount, bucketSize);
totals.Add(classTotals);
}
return;
} /* InitiateClass */
} /* InitiateClass */
public void Increment(PicesClass mlClass,
int size
)
{
if (mlClass == null)
{
mlClass = PicesClassList.GetUnKnownClassStatic();
}
ClassTotals classTotals = totals.LookUp(mlClass.Name);
if (classTotals == null)
{
classTotals = new ClassTotals(mlClass.Name, bucketCount, bucketSize);
totals.Add(classTotals);
}
classTotals.Increment(size);
} /* Increment */
} /* SizeDistribution2 */
/// <summary>
/// Method used to guarantee that the specified class is included; even if none occur.
/// </summary>
/// <param name="mlClass">Class to add </param>
public void InitiateClass(PicesClass mlClass)
{
if (mlClass == null)
{
mlClass = PicesClassList.GetUnKnownClassStatic();
}
ClassTotals2 classTotals = totals.LookUp(mlClass.Name);
if (classTotals == null)
{
classTotals = new ClassTotals2(mlClass.Name,
sizeInitial,
sizeGrowthFactor,
sizeEndRange,
bucketCount,
sizeBucketStart,
sizeBucketEnd
);
totals.Add(classTotals);
}
return;
} /* InitiateClass */