private static IRecognitionStep getStep(string name)
{
Console.WriteLine("Loading stage: " + name);
switch (name)
{
case "cls": return(RecognitionPipeline.createDefaultClassifier());
case "grp": return(RecognitionPipeline.createDefaultGrouper());
case "rec": return(RecognitionPipeline.createDefaultRecognizer());
case "con": return(RecognitionPipeline.createDefaultConnector());
case "ref": return(RecognitionPipeline.createDefaultRefiner());
case "ref_ctx": return(new ContextRefiner(ContextDomain.CircuitDomain.GetInstance(), RecognitionPipeline.createDefaultRecognizer()));
case "ref_cctx": return(new CarefulContextRefiner(ContextDomain.CircuitDomain.GetInstance(), RecognitionPipeline.createDefaultRecognizer()));
case "ref_steal": return(new StrokeStealRefiner(RecognitionPipeline.createDefaultRecognizer(), RecognitionPipeline.createDefaultConnector()));
case "ref_shed": return(new StrokeShedRefiner(RecognitionPipeline.createDefaultRecognizer(), RecognitionPipeline.createDefaultConnector()));
case "ref_search":
var producer = new CircuitSketchModificationProducer(
RecognitionPipeline.createDefaultClassifier(),
RecognitionPipeline.createDefaultGateRecognizer(),
RecognitionPipeline.createDefaultConnector());
return(new SearchRefiner(producer));
}
TestRig.ExitWithError("No step exists called '" + name + "'! Valid steps are: cls, grp, rec, con, ref, ref_ctx, ref_cctx, ref_steal, ref_shed, ref_search");
return(null);
}
/// <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");
}
}
private static IRecognitionStep getStep(string name)
{
Console.WriteLine("Loading stage: " + name);
switch (name)
{
case "cls": return(RecognitionPipeline.createDefaultClassifier());
case "grp": return(RecognitionPipeline.createDefaultGrouper());
case "rec": return(RecognitionPipeline.createDefaultRecognizer());
case "con": return(RecognitionPipeline.createDefaultConnector());
case "ref": return(RecognitionPipeline.createDefaultRefiner(RecognitionPipeline.createDefaultConnector(), RecognitionPipeline.createDefaultRecognizer()));
case "ref_ctx": return(new ContextRefiner(ContextDomain.CircuitDomain.GetInstance(), RecognitionPipeline.createDefaultRecognizer()));
case "ref_cctx": return(new CarefulContextRefiner(ContextDomain.CircuitDomain.GetInstance(), RecognitionPipeline.createDefaultRecognizer()));
case "ref_search": return(new SearchRefiner(ContextDomain.CircuitDomain.GetInstance()));
}
return(null);
}