private void SegmentTrainSetStrokes() {
SystemSettings.CurrentRecognizierOperation = this.RECGONIZE_OPERATION_TRAIN;
CaptureStrokes = true;
ExmapleType = EXAMPLE_POS;
if (TrainSetStrokes != null) {
Interactive = false;
int count = 0;
int catCount = 0;
for (Iterator iterator = TrainSetStrokes.types(); iterator.hasNext(); ) {
String type = (String) iterator.next();
logger.info(" segmeting the type " + type);
CurrentCategory = type;
CurrentCat = getCategoryide(type);
ArrayList<ArrayList<Stroke>> catArray = TrainSetStrokes.getExamples(CurrentCategory);
count = 0;
catCount = 0;
for (int i = 0; i < catArray.size(); i++) {
Stroke stroke = null;
// catCount++;
// if (catCount>20){
// break;
// }
//
if (count % 50 == 0) {
logger.info(" Example number " + count);
logger.info(" example count in strokes trains set is " + trainSet.getExamplesCount());
}
count++;
ArrayList<Stroke> strokeArray = catArray.get(i);
for (int j = 0; j < strokeArray.size(); j++) {
stroke = strokeArray.get(j);
// for strokes do
NewStrokeEvent newStroke = new NewStrokeEvent(this);
newStroke.setEventStroke(stroke);
newStroke.setFlagConsumed(false);
HandleNewStroke(newStroke);
} //
/// after stroke do the follwoing
createClusterFromStrokes();
}
}
}
}
public void ReadTrainingSetXML(String filename) {
logger.info("Reading the xml data ");
xmlRead = true;
TrainSetStrokes.readXML(filename);
Categories = new Hashtable<Integer, String>();
Iterator<String> iterator = TrainSetStrokes.types();
int i = 0;
for (; iterator.hasNext(); ) {
String cat = iterator.next();
Categories.put(i, cat);
i++;
}
// Categories.put(i, )
}
