public ProcessingWindow(SubjectiveSystem system, ObserverData observerData, ProcessingMethod processingMethod)
{
this.system = system;
this.observerData = observerData;
this.processingMethod = processingMethod;
InitializeComponent();
}
public void Infere(ObserverData observerData)
{
var evaluator = new Evaluator();
IList <EvaluationResult> evaluationResults = evaluator.Evaluate(observerData.TrainingData);
observerData.SetEvaluationResults(evaluationResults);
}
public void AddObserver(string observerName)
{
var observerData = new ObserverData
{
ObserverName = observerName,
TrainingData = PrepareTrainingData()
};
ObserversData.Add(observerData);
observerData.CheckTrainingStatus();
}
public void AddObserver(string observerName)
{
var observerData = new ObserverData
{
ObserverName = observerName,
TrainingData = PrepareTrainingData()
};
ObserversData.Add(observerData);
observerData.CheckTrainingStatus();
}
public void ResetData(ObserverData observerData)
{
foreach (TrainingData data in observerData.TrainingData)
{
data.UserScore = null;
data.SystemScore = null;
}
observerData.EvaluationDone = false;
observerData.CheckTrainingStatus();
observerData.TrainingData = PrepareTrainingData();
}
public Bitmap ProcessImage(Bitmap image, ObserverData observerData, ProcessingMethod processingMethod)
{
if (processingMethod == ProcessingMethod.UseAlgorithmWithHighestScore)
{
string bestAlgorithm =
observerData.EvaluationResults.OrderByDescending(x => x.AlgorithScore).First().AlgorithCustomName;
AlgorithmInfo algorithmInfo = this.Algorithms.Where(x => x.CustomName == bestAlgorithm).Single();
var algorithm = AppFacade.DI.Container.Resolve <IAlgorithm>(algorithmInfo.AlgorithName);
algorithm.SetParameters(algorithmInfo.Parameters);
return(SimpleProcessing(image, algorithm));
}
if (processingMethod == ProcessingMethod.AlgorithmsFusion)
{
return(FusionProcessing(image, this.Algorithms, observerData.EvaluationResults));
}
throw new NotSupportedException();
}
public Bitmap ProcessImage(Bitmap image, ObserverData observerData, ProcessingMethod processingMethod)
{
if (processingMethod == ProcessingMethod.UseAlgorithmWithHighestScore)
{
string bestAlgorithm =
observerData.EvaluationResults.OrderByDescending(x => x.AlgorithScore).First().AlgorithCustomName;
AlgorithmInfo algorithmInfo = this.Algorithms.Where(x => x.CustomName == bestAlgorithm).Single();
var algorithm = AppFacade.DI.Container.Resolve<IAlgorithm>(algorithmInfo.AlgorithName);
algorithm.SetParameters(algorithmInfo.Parameters);
return SimpleProcessing(image, algorithm);
}
if (processingMethod == ProcessingMethod.AlgorithmsFusion)
{
return FusionProcessing(image, this.Algorithms, observerData.EvaluationResults);
}
throw new NotSupportedException();
}
public void Infere(ObserverData observerData)
{
var evaluator = new Evaluator();
IList<EvaluationResult> evaluationResults = evaluator.Evaluate(observerData.TrainingData);
observerData.SetEvaluationResults(evaluationResults);
}
public void ResetData(ObserverData observerData)
{
foreach (TrainingData data in observerData.TrainingData)
{
data.UserScore = null;
data.SystemScore = null;
}
observerData.EvaluationDone = false;
observerData.CheckTrainingStatus();
observerData.TrainingData = PrepareTrainingData();
}
