/// <summary>
/// The pipeline for recognizing on the fly
/// </summary>
/// <returns></returns>
public static RecognitionPipeline GetOnFlyPipeline()
{
Recognizer recognizer = createDefaultRecognizer();
RecognitionPipeline result = new RecognitionPipeline();
result.addStep(createDefaultClassifier());
result.addStep(createDefaultGrouper());
result.addStep(recognizer);
return(result);
}
/// <summary>
/// Create a default recognition pipeline with the following steps:
/// 1: Classify Single Strokes
/// 2: Group Strokes into Shapes
/// 3: Recognize Shapes
/// 4: Connect Shapes
/// 5: Refine Recognition
/// </summary>
public static RecognitionPipeline createDefaultPipeline(Dictionary <string, string> settings)
{
RecognitionPipeline result = new RecognitionPipeline();
result.addStep(new WaitForFeatureSketch());
result.addStep(createDefaultClassifier());
result.addStep(createDefaultGrouper());
result.addStep(createDefaultRecognizer());
result.addStep(createDefaultConnector());
result.append(createDefaultRefiner());
return(result);
}
/// <summary>
/// Create a default recognition pipeline with the following steps:
/// 1: Classify Single Strokes
/// 2: Group Strokes into Shapes
/// 3: Recognize Shapes
/// 4: Connect Shapes
/// 5: Refine Recognition
/// </summary>
public static RecognitionPipeline createDefaultPipeline(Dictionary <string, string> settings)
{
Recognizer recognizer = createDefaultRecognizer();
Connector connector = createDefaultConnector();
RecognitionPipeline result = new RecognitionPipeline();
result.addStep(createDefaultClassifier());
result.addStep(createDefaultGrouper());
result.addStep(recognizer);
result.addStep(connector);
result.addStep(createDefaultRefiner(connector, recognizer));
return(result);
}