// Update the species detected against the threshold in both the database and the file table
private void UpdateSpeciesDetected(double threshold)
{
FileTable fileTable = this.fileDatabase.FileTable;
// We now have an unselected temporary data table
// Get the original value of each, and update each date by the corrected amount if possible
List <ImageRow> filesToAdjust = new List <ImageRow>();
List <ColumnTuplesWithWhere> filesToUpdate = new List <ColumnTuplesWithWhere>();
for (int row = 0; row < fileTable.RowCount; row++)
{
ImageRow imageRow = this.fileDatabase.FileTable[row];
bool? newSpeciesDetectedValue = null;
bool forceUpdate = false;
// Get the current SpeciesDetected value
if (bool.TryParse(imageRow.GetValueDisplayString(Constant.Recognition.SpeciesDetectedDataLabel), out bool currentSpeciesDetectedValue) == false)
{
forceUpdate = true;
}
if (double.TryParse(imageRow.GetValueDisplayString(Constant.Recognition.DataLabelMaxConfidence), out double maxConfidence) == false)
{
// If there is no confidence level, then the detector is likely not working so we always set the new Species detected value to false
forceUpdate = true;
newSpeciesDetectedValue = false;
}
else
{
newSpeciesDetectedValue = (maxConfidence >= threshold) ? true : false;
}
if (forceUpdate == true || newSpeciesDetectedValue != currentSpeciesDetectedValue)
{
// System.Diagnostics.Debug.Print(newSpeciesDetectedValue.ToString());
string newSpeciesDetectedValueAsString = (newSpeciesDetectedValue == true)
? Constant.BooleanValue.True
: Constant.BooleanValue.False;
imageRow.SetValueFromDatabaseString(Constant.Recognition.SpeciesDetectedDataLabel, newSpeciesDetectedValueAsString);
filesToAdjust.Add(imageRow);
filesToUpdate.Add(new ColumnTuplesWithWhere(new List <ColumnTuple>
{
new ColumnTuple(Constant.Recognition.SpeciesDetectedDataLabel, newSpeciesDetectedValueAsString)
}, imageRow.ID));
}
}
// update the database with the new values
this.fileDatabase.UpdateFiles(filesToUpdate);
}