def train():
repsCount.configure(state=DISABLED)
setButtsDisabled()
progTrainLabel["text"] = 'Filtrujem signál...'
trainProgress["value"] = 0
global pr,trainedData
trainLetter = []
trainWords = open(trainLetters).readlines()
#nacitanie trenovacich a cielovych znakov do pola
for i in range(len(trainWords)):
tmp = map(int, trainWords[i].rstrip().split(','))
trainLetter.append(tmp)
trainProgress["maximum"] = len(sum(trainLetter[:len(trainDataFiles)],[])) - 1
pr = Processor(trainDataFiles,chanNum)
# postupne spracuj trenovaciu cast datasetu
pr.trainClassifier(trainLetter,trainProgress,progTrainLabel,int(repsCount.get()))
progTrainLabel["text"] = 'Trénovanie dokončené.'
repsCount.configure(state=NORMAL)
setButtsNormal()
trainedData = 1
print "Training completed"
def train():
global pr
trainLetter = []
trainWords = open(trainLetters).readlines()
#nacitanie trenovacich a cielovych znakov do pola
for i in range(len(trainWords)):
tmp = map(int, trainWords[i].rstrip().split(','))
trainLetter.append(tmp)
pr = Processor(trainDataFiles,chanNum)
# postupne spracuj trenovaciu cast datasetu
pr.trainClassifier(trainLetter,repsCount)
trainedData = 1
print "Training completed"
