private void Classify()
{
if (this.classifier == null || this.classifier.HasUpdates /* update flag */)
{
this.classifier = new GestureClassifier();
this.classifier.ProblemFile = this.featureFilePath;
this.classifier.ModelFile = this.modelFilePath;
this.classifier.CategoryDetected += classifier_CategoryDetected;
GestureStudio.DisplayLoadingWindow("Loading Image Classifier...");
this.classifier.BeginInitialize(() =>
{
GestureStudio.HideLoadingWindow();
});
}
if (this.classifier.Initialized)
{
this.UpdateStatus("Classifying");
this.classifier.ClassifyImage(this.croppedFrame);
}
else
{
this.UpdateStatus("Loading Classifier...");
}
}
private void Train()
{
if (this.trainer == null)
{
this.trainer = new GestureLearner();
this.trainer.ProblemFile = this.featureFilePath;
this.trainer.ImageCollectionFinished += trainer_ImageCollectionFinished;
this.trainer.NewModelReady += trainer_NewModelReady;
GestureStudio.DisplayLoadingWindow("Loading Gesture Trainer...");
this.trainer.BeginInitialize(() =>
{
GestureStudio.HideLoadingWindow();
});
}
else if (this.trainer.CurrentSampleCount == 0)
{
}
if (this.trainer.Initialized)
{
if (!this.trainer.GestureDataReady)
{
this.UpdateStatus("Collecting Gesture " + this.trainer.CurrentSampleCount + " of 30");
this.trainer.LearnGesture(this.croppedFrame);
}
else if (!this.trainer.ModelBuildStarted)
{
this.UpdateStatus("Building Prediction Model...");
GestureStudio.DisplayLoadingWindow("Building Prediction Model...");
this.trainer.BuildModel(() =>
{
GestureStudio.HideLoadingWindow();
});
}
else
{
// training finished
this.Stop();
}
}
else
{
// waiting for init, do nothing
}
}
public void BeginInitialize()
{
this.floodFill = new FloodFill();
this.mode = ProgramMode.Idle;
this.classifier = null;
this.trainer = null;
this.featureFilePath = null;
this.modelFilePath = null;
GestureStudio.DisplayLoadingWindow("Loading Kinect Sensor...");
ThreadPool.QueueUserWorkItem((state) =>
{
// init kinect
this.StartKinectSensor();
GestureStudio.HideLoadingWindow();
this.UpdateStatus("Ready");
});
}
void InternalInitialize(Action initializeCallback)
{
modelBuilder = new SvmModelBuilder();
this.featureVector = new List <double[]>();
// init omp
this.imgFeature = new ImageFeature(GestureStudio.GestureLib_DictionartyPath);
// update GestureInfo.data
if (this.problemFile == null || this.problemFile.Equals(GestureStudio.FeatureFileEmpty))
{
Gestures.loadData(GestureStudio.GesturesDataPathEmpty);
}
else if (this.problemFile.Equals(GestureStudio.FeatureFileNew))
{
Gestures.loadData(GestureStudio.GesturesDataPathNew);
}
else // demo version, this will take a long time. So avoid this in the demo.
{
Gestures.loadData(GestureStudio.GesturesDataPathDemo);
}
// done initialization
if (initializeCallback != null)
{
initializeCallback();
}
// display trainer form
SynchronizationContext ctx = SynchronizationContext.Current;
GestureStudio.DisplayTrainerForm(() =>
{
// count down finished, begin
this.initialized = true;
});
}
