/// <summary>
///
/// </summary>
/// <param name="tomatoSets">
/// The tomato set divided into training and validation.
/// In the training set, the classificator learns the svm params.
/// The classifier predicts label on the validation set.
/// </param>
public Controller(
IDictionary <SetType, List <Tomato> > tomatoSets)
{
this.images = new List <VisualEvent>();
imageExtractor = new LBPExtractor(true);
imageExtractor.VisualEventManager += OnImageComputed;
classifier = new TomatoClassifier(new LBPExtractor(false), SVMClassifier.Linear(0.43f));
this.tomatoSets = tomatoSets;
}
static TomatoClassifier standardClassifier()
{
var extractor = new LBPExtractor(false);
return(new TomatoClassifier(extractor, SVMClassifier.Linear(0.43f))); //best performance with 0.43
}
