public boolean train() {
if (personCount == personLimit) {
recogniser.train(trainingImages, labels);
trained = true;
}
return trained;
}
public String recognise(IplImage aImage) {
String name = null;
if (trained) {
int result = recogniser.predict((CvArr) aImage);
if (names.containsKey(Integer.valueOf(result))) {
name = (String) names.get(Integer.valueOf(result));
}
}
return name;
}
public void saveTrainingData(String aPath) {
recogniser.save(aPath + TR_DATA_FILE);
try {
ObjectOutputStream os = new ObjectOutputStream(new FileOutputStream(aPath + TR_NAMES_FILE));
os.writeObject(names);
os.close();
os.flush();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
@SuppressWarnings("unchecked")
public void loadTrainingDate(String aPath) {
recogniser.load(aPath + TR_DATA_FILE);
try {
ObjectInputStream is = new ObjectInputStream(new FileInputStream(aPath + TR_NAMES_FILE));
names = (Map<Integer, String>) is.readObject();
is.close();
} catch (FileNotFoundException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (ClassNotFoundException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
trained = true;
}
