/// <summary>
/// Construct a new SymbolStage
/// </summary>
public SymbolStage()
{
name = "Symbol Recognition";
shortname = "sym";
inputFiletype = ".xml";
outputFiletype = ".csv"; // comma-separated values; readable by Excel
_typesSeen = new HashSet <ShapeType>();
_confusionMatrix = new Dictionary <ShapeType, Dictionary <ShapeType, int> >();
_results = new List <int[]>();
_pipeline = new RecognitionPipeline();
_useRefinement = false;
_isPure = true;
_useLearning = false;
_args = null;
_recognizer = RecognitionPipeline.createDefaultRecognizer();
}
/// <summary>
/// Initializes the pipeline after arguments have been processed.
/// </summary>
public override void start()
{
//_recognizer = Recognizers.AdaptiveImageRecognizer.Load("SubRecognizers\\ImageRecognizer\\AdaptiveImage.air");
_recognizer = RecognitionPipeline.createDefaultRecognizer();
if (_isPure)
{
Console.WriteLine("Symbol recognition test will be pure");
}
else
{
Console.WriteLine("Symbol recognition test will be impure");
_pipeline.addStep(RecognitionPipeline.createDefaultClassifier());
_pipeline.addStep(RecognitionPipeline.createDefaultGrouper());
}
_pipeline.addStep(_recognizer);
if (_useRefinement)
{
Console.WriteLine("Symbol recognition test will use the refiner");
Connector connector = RecognitionPipeline.createDefaultConnector();
RecognitionInterfaces.IRecognitionStep refiner = RecognitionPipeline.createDefaultRefiner(connector, _recognizer);
_pipeline.addStep(connector);
_pipeline.addStep(refiner);
}
else
{
Console.WriteLine("Symbol recognition test will NOT use the refiner");
}
if (_useLearning)
{
Console.WriteLine("Symbol recognition test will train the recognizer as it runs");
}
else
{
Console.WriteLine("Symbol recognition test will NOT train the recognizer as it runs");
}
}
