/// <summary>
/// Using supplied 'Raster' data it will call each currently active model and return there predictions.
/// </summary>
/// <param name="raster">Raster of image to predict. .</param>
/// <param name="instrumentData">Instrument data that was recorded with the 'raster' .</param>
/// <param name="imageFileName">Name of the image file.</param>
/// <param name="model1Predictions">The model1 predictions.</param>
/// <param name="model2Predictions">The model2 predictions.</param>
/// <param name="runLog">The run log.</param>
public static void MakePredictions(PicesRaster raster,
InstrumentData instrumentData,
String imageFileName,
ref PicesPredictionList model1Predictions,
ref PicesPredictionList model2Predictions,
PicesRunLog runLog
)
{
model1Predictions = null;
model2Predictions = null;
if (!ModelsAreAvailable())
{
return;
}
ParsedImageFileName pifn = PicesFeatureVector.ParseImageFileName(imageFileName);
String sipperFileName = pifn.sipperFileName;
uint scanLineNum = pifn.scanLineNum;
PicesFeatureVector fv = new PicesFeatureVector(raster, imageFileName, null, runLog);
if (instrumentData != null)
{
fv.AddInstrumentData(instrumentData.Depth(),
instrumentData.Salinity(),
instrumentData.Oxygen(),
instrumentData.Fluorescence()
);
}
else
{
PicesDataBase dbConn = PicesDataBase.GetGlobalDatabaseManagerNewInstance(runLog);
PicesInstrumentData pid = dbConn.InstrumentDataGetByScanLine(sipperFileName, scanLineNum);
if (pid != null)
{
fv.AddInstrumentData(pid);
}
pid = null;
dbConn.Close();
dbConn = null;
}
if (model1 != null)
{
model1Predictions = model1.PredictProbabilities(fv);
}
if (model2 != null)
{
model2Predictions = model2.PredictProbabilities(fv);
}
fv = null;
return;
} /* MakePredictions */
} /* MakePredictions */
public static void MakePredictions(PicesRaster raster,
ref PicesPrediction model1Prediction1,
ref PicesPrediction model1Prediction2,
ref PicesPrediction model2Prediction1,
ref PicesPrediction model2Prediction2,
PicesRunLog runLog
)
{
String imageFileName = raster.FileName;
ParsedImageFileName pifn = PicesFeatureVector.ParseImageFileName(imageFileName);
String sipperFileName = pifn.sipperFileName;
uint scanLineNum = pifn.scanLineNum;
PicesFeatureVector fv = new PicesFeatureVector(raster, imageFileName, null, runLog);
{
PicesDataBase dbConn = PicesDataBase.GetGlobalDatabaseManagerNewInstance(runLog);
PicesInstrumentData pid = dbConn.InstrumentDataGetByScanLine(sipperFileName, scanLineNum);
if (pid != null)
{
fv.AddInstrumentData(pid);
}
pid = null;
dbConn.Close();
dbConn = null;
}
MakePredictions(fv,
ref model1Prediction1,
ref model1Prediction2,
ref model2Prediction1,
ref model2Prediction2,
runLog
);
fv = null;
}
