class Console:
def __init__(self,
recorder=None,
soundplayer=None,
applicationClose=None,
setFileName=None,
getFileName=None):
if recorder == None:
raise Exception("No Recorder, so go home")
self.recorder = recorder
if soundplayer == None:
raise Exception("No Soundplayer, so go home")
self.soundplayer = soundplayer
if applicationClose == None:
raise Exception("No close callback")
self.applicationClose = applicationClose
self.key_bindings = {}
self.bindKeys()
self.inputEvent = Event()
self.recordEvent = Event()
self.threadNum = 0
self.repeatedRecords = 0
self.setFileName = setFileName
self.getFileName = getFileName
self.classificators = {}
self.classificator = None
self.loadUserConfig()
def loadUserConfig(self):
self.userConfig = c.getInstance().getConfig("user")
print("Hello " + self.userConfig['name'])
print("Use command 'h' for usage help!")
self.selectClassifier(["u", self.userConfig['classifier']])
self.sound = not bool(self.userConfig['autostart_sound'])
self.soundFirstTime = True
self.toggleSound("")
def getClassificator(self, name):
if (name == ""):
raise Exception("No classificator specified, see usage 'h'")
elif (name == "lstm"):
if (name not in self.classificators):
from classifier.lstm.lstm import LSTM
lstmConfig = c.getInstance().getConfig("lstm")
cl = LSTM(self.recorder, lstmConfig)
self.classificators[name] = cl
cl = self.classificators[name]
elif (name == "svm"):
if (name not in self.classificators):
from classifier.svm.svm import SVM
svmConfig = c.getInstance().getConfig("svm")
cl = SVM(self.recorder, svmConfig)
self.classificators[name] = cl
cl = self.classificators[name]
elif (name == "trees"):
if (name not in self.classificators):
from classifier.trees.Trees import Trees
treeConfig = c.getInstance().getConfig("trees")
cl = Trees(self.recorder, treeConfig)
self.classificators[name] = cl
cl = self.classificators[name]
elif (name == "hmm"):
if (name not in self.classificators):
from classifier.hmm.gestureApplication import HMM
# hmmConfig = c.getInstance().getConfig("hmm")
cl = HMM(self.recorder)
self.classificators[name] = cl
cl = self.classificators[name]
elif (name == "kmeans"):
if (name not in self.classificators):
from classifier.k_means.kMeans import KMeans
cl = KMeans(self.recorder)
self.classificators[name] = cl
cl = self.classificators[name]
else:
raise Exception("Classificator not existing")
return cl
def recordStart(self, args):
fileName = self.getFileName(args[0])
print("\nRecording now class " + str(args[0]) + " to file " + fileName)
if len(args) > 1:
num = int(args[1])
self.repeatedRecords = num
else:
self.repeatedRecords = 1
print("\t" + str(self.repeatedRecords) + " instances left")
while self.repeatedRecords > 0:
self.repeatedRecords -= 1
print("\tStart recording next instance.\n\t" +
str(self.repeatedRecords) + " instances left")
self.recordEvent.clear()
self.recorder.setRecordClass(args[0], self.callback)
self.recordEvent.wait()
print("finished recording")
self.inputEvent.set()
def callback(self, recClass):
self.recordEvent.set()
def bindKeys(self):
self.key_bindings['e'] = self.exit
self.key_bindings['h'] = self.printHelp
self.key_bindings['g'] = self.view
self.key_bindings['u'] = self.selectClassifier
self.key_bindings['c'] = self.classifyStart
self.key_bindings['t'] = self.trainingStart
self.key_bindings['v'] = self.validateStart
self.key_bindings['l'] = self.load
self.key_bindings['s'] = self.save
self.key_bindings['f'] = self.changeFilename
self.key_bindings['r'] = self.toggleSound
self.key_bindings['p'] = self.printClassifier
self.key_bindings['0'] = self.recordStart
self.key_bindings['1'] = self.recordStart
self.key_bindings['2'] = self.recordStart
self.key_bindings['3'] = self.recordStart
self.key_bindings['4'] = self.recordStart
self.key_bindings['5'] = self.recordStart
self.key_bindings['6'] = self.recordStart
self.key_bindings['7'] = self.recordStart
def startNewThread(self):
self.t = Thread(name="ControlConsole-" + str(self.threadNum),
target=self.start,
args=())
self.t.start()
self.threadNum += 1
return self.t
def is_alive(self):
if self.t is not None:
return self.t.is_alive()
return False
def toggleSound(self, args):
self.sound = not self.sound
if (self.sound):
self.soundplayer.setup()
self.recorder.setup()
self.soundplayer.startNewThread()
self.recorder.startNewThread()
print("Soundplaying and recording started")
self.soundFirstTime = False
else:
if (not self.soundFirstTime):
self.recorder.close()
self.soundplayer.stopPlaying()
self.recorder.thread.join()
self.soundplayer.t.join()
print("Soundplaying and recording stopped")
self.inputEvent.set()
def start(self):
self.alive = True
while self.alive:
try:
txtin = raw_input('> ')
args = txtin.split(" ")
if args[0] not in self.key_bindings:
print("No command for " + args[0])
continue
self.inputEvent.clear()
self.key_bindings[args[0]](args)
self.inputEvent.wait()
except EOFError:
print("End of File Exception")
self.alive = False
except KeyboardInterrupt:
print(
"KeyboardInterrupt. Stopping current task (no guarantees for failures), if possible..."
)
self.interrupt()
return
def exit(self, txtin):
self.alive = False
self.inputEvent.set()
self.applicationClose()
def view(self, command):
if (self.classificator != None):
try:
self.classificator.startGui(self.recorder, self.viewCallback)
except NotImplementedError:
print(self.classificator.getName() +
" has no GUI, use default one")
self.defaultView()
else:
print("No classifcator selected, use default GUI")
self.defaultView()
def defaultView(self):
self.view = View(self.recorder, self.viewCallback)
self.view.startNewThread()
def viewCallback(self, code):
print("View closed with code " + str(code))
self.inputEvent.set()
def classifyStart(self, key):
if self.classificator is None:
print("No classifier specified")
self.inputEvent.set()
return
self.recorder.classifyStart(self.classificator)
# no input event set because this done in recorder in another thread
def classifyCallback(self):
# only for checking for new Interrupts
pass
def selectClassifier(self, args):
try:
self.classificator = self.getClassificator(args[1])
print("Using now classificator " + self.classificator.getName())
except Exception as e:
print("" + args[1] + " " + str(e))
# raise e
self.inputEvent.set()
def trainingStart(self, args):
if self.classificator is None:
print("No classifier specified")
self.inputEvent.set()
return
self.classificator.startTraining(args)
self.inputEvent.set()
def validateStart(self, args):
if self.classificator is None:
print("No classifier specified")
self.inputEvent.set()
return
self.classificator.startValidation()
self.inputEvent.set()
def load(self, args):
if self.classificator is None:
print("No classifier specified")
self.inputEvent.set()
return
filename = ""
if len(args) > 2:
filename = args[2]
if args[1] == "ds":
self.classificator.loadData(filename)
else:
self.classificator.load(filename)
elif len(args) > 1:
filename = args[1]
self.classificator.load(filename)
self.inputEvent.set()
def save(self, args):
if self.classificator is None:
print("No classifier specified")
self.inputEvent.set()
return
filename = ""
if len(args) > 2:
filename = args[2]
if args[1] == "ds":
self.classificator.saveData(filename)
else:
self.classificator.save(filename)
elif len(args) > 1:
filename = args[1]
self.classificator.save(filename)
self.inputEvent.set()
def printClassifier(self, args):
if self.classificator is None:
print("No classifier specified")
self.inputEvent.set()
return
self.classificator.printClassifier()
self.inputEvent.set()
def printHelp(self, args=None):
printHelp(args)
self.inputEvent.set()
def changeFilename(self, args):
newName = ""
if len(args) > 1:
newName = args[1]
else:
newName = str(time.time())[:-3]
self.setFileName(newName)
self.inputEvent.set()
def interrupt(self):
self.recorder.classifyStop()
self.inputEvent.set()
def defaultView(self):
self.view = View(self.recorder, self.viewCallback)
self.view.startNewThread()
def defaultView(self):
self.view = View(self.recorder, self.viewCallback)
self.view.startNewThread()
class Console:
def __init__(self, recorder=None, soundplayer=None, applicationClose=None, setFileName=None, getFileName=None):
if recorder == None:
raise Exception("No Recorder, so go home")
self.recorder = recorder
if soundplayer == None:
raise Exception("No Soundplayer, so go home")
self.soundplayer = soundplayer
if applicationClose == None:
raise Exception("No close callback")
self.applicationClose = applicationClose
self.key_bindings = {}
self.bindKeys()
self.inputEvent = Event()
self.recordEvent = Event()
self.threadNum = 0
self.repeatedRecords = 0
self.setFileName = setFileName
self.getFileName = getFileName
self.classificators = {}
self.classificator = None
self.loadUserConfig()
def loadUserConfig(self):
self.userConfig = c.getInstance().getConfig("user")
print("Hello " + self.userConfig['name'])
print("Use command 'h' for usage help!")
self.selectClassifier(["u", self.userConfig['classifier']])
self.sound = not bool(self.userConfig['autostart_sound'])
self.soundFirstTime = True
self.toggleSound("")
def getClassificator(self, name):
if(name == ""):
raise Exception("No classificator specified, see usage 'h'")
elif(name == "lstm"):
if(name not in self.classificators):
from classifier.lstm.lstm import LSTM
lstmConfig = c.getInstance().getConfig("lstm")
cl = LSTM(self.recorder, lstmConfig)
self.classificators[name] = cl
cl = self.classificators[name]
elif(name == "svm"):
if(name not in self.classificators):
from classifier.svm.svm import SVM
svmConfig = c.getInstance().getConfig("svm")
cl = SVM(self.recorder, svmConfig)
self.classificators[name] = cl
cl = self.classificators[name]
elif(name == "trees"):
if(name not in self.classificators):
from classifier.trees.Trees import Trees
treeConfig = c.getInstance().getConfig("trees")
cl = Trees(self.recorder, treeConfig)
self.classificators[name] = cl
cl = self.classificators[name]
elif(name == "hmm"):
if(name not in self.classificators):
from classifier.hmm.gestureApplication import HMM
# hmmConfig = c.getInstance().getConfig("hmm")
cl = HMM(self.recorder)
self.classificators[name] = cl
cl = self.classificators[name]
elif(name == "kmeans"):
if(name not in self.classificators):
from classifier.k_means.kMeans import KMeans
cl = KMeans(self.recorder)
self.classificators[name] = cl
cl = self.classificators[name]
else:
raise Exception("Classificator not existing")
return cl
def recordStart(self, args):
fileName = self.getFileName(args[0])
print("\nRecording now class " + str(args[0]) + " to file " + fileName)
if len(args) > 1:
num = int(args[1])
self.repeatedRecords = num
else:
self.repeatedRecords = 1
print("\t" + str(self.repeatedRecords) + " instances left")
while self.repeatedRecords > 0:
self.repeatedRecords -= 1
print("\tStart recording next instance.\n\t" + str(self.repeatedRecords) + " instances left")
self.recordEvent.clear()
self.recorder.setRecordClass(args[0], self.callback)
self.recordEvent.wait()
print("finished recording")
self.inputEvent.set()
def callback(self, recClass):
self.recordEvent.set()
def bindKeys(self):
self.key_bindings['e'] = self.exit
self.key_bindings['h'] = self.printHelp
self.key_bindings['g'] = self.view
self.key_bindings['u'] = self.selectClassifier
self.key_bindings['c'] = self.classifyStart
self.key_bindings['t'] = self.trainingStart
self.key_bindings['v'] = self.validateStart
self.key_bindings['l'] = self.load
self.key_bindings['s'] = self.save
self.key_bindings['f'] = self.changeFilename
self.key_bindings['r'] = self.toggleSound
self.key_bindings['p'] = self.printClassifier
self.key_bindings['0'] = self.recordStart
self.key_bindings['1'] = self.recordStart
self.key_bindings['2'] = self.recordStart
self.key_bindings['3'] = self.recordStart
self.key_bindings['4'] = self.recordStart
self.key_bindings['5'] = self.recordStart
self.key_bindings['6'] = self.recordStart
self.key_bindings['7'] = self.recordStart
def startNewThread(self):
self.t = Thread(name="ControlConsole-" + str(self.threadNum), target=self.start, args=())
self.t.start()
self.threadNum += 1
return self.t
def is_alive(self):
if self.t is not None:
return self.t.is_alive()
return False
def toggleSound(self, args):
self.sound = not self.sound
if(self.sound):
self.soundplayer.setup()
self.recorder.setup()
self.soundplayer.startNewThread()
self.recorder.startNewThread()
print("Soundplaying and recording started")
self.soundFirstTime = False
else:
if(not self.soundFirstTime):
self.recorder.close()
self.soundplayer.stopPlaying()
self.recorder.thread.join()
self.soundplayer.t.join()
print("Soundplaying and recording stopped")
self.inputEvent.set()
def start(self):
self.alive = True
while self.alive:
try:
txtin = raw_input('> ')
args = txtin.split(" ")
if args[0] not in self.key_bindings:
print("No command for " + args[0])
continue
self.inputEvent.clear()
self.key_bindings[args[0]](args)
self.inputEvent.wait()
except EOFError:
print("End of File Exception")
self.alive = False
except KeyboardInterrupt:
print("KeyboardInterrupt. Stopping current task (no guarantees for failures), if possible...")
self.interrupt()
return
def exit(self, txtin):
self.alive = False
self.inputEvent.set()
self.applicationClose()
def view(self, command):
if(self.classificator != None):
try:
self.classificator.startGui(self.recorder, self.viewCallback)
except NotImplementedError:
print(self.classificator.getName() + " has no GUI, use default one")
self.defaultView()
else:
print("No classifcator selected, use default GUI")
self.defaultView()
def defaultView(self):
self.view = View(self.recorder, self.viewCallback)
self.view.startNewThread()
def viewCallback(self, code):
print("View closed with code " + str(code))
self.inputEvent.set()
def classifyStart(self, key):
if self.classificator is None:
print("No classifier specified")
self.inputEvent.set()
return
self.recorder.classifyStart(self.classificator)
# no input event set because this done in recorder in another thread
def classifyCallback(self):
# only for checking for new Interrupts
pass
def selectClassifier(self, args):
try:
self.classificator = self.getClassificator(args[1])
print("Using now classificator " + self.classificator.getName())
except Exception as e:
print("" + args[1] + " " + str(e))
# raise e
self.inputEvent.set()
def trainingStart(self, args):
if self.classificator is None:
print("No classifier specified")
self.inputEvent.set()
return
self.classificator.startTraining(args)
self.inputEvent.set()
def validateStart(self, args):
if self.classificator is None:
print("No classifier specified")
self.inputEvent.set()
return
self.classificator.startValidation()
self.inputEvent.set()
def load(self, args):
if self.classificator is None:
print("No classifier specified")
self.inputEvent.set()
return
filename = ""
if len(args) > 2:
filename = args[2]
if args[1] == "ds":
self.classificator.loadData(filename)
else:
self.classificator.load(filename)
elif len(args) > 1:
filename = args[1]
self.classificator.load(filename)
self.inputEvent.set()
def save(self, args):
if self.classificator is None:
print("No classifier specified")
self.inputEvent.set()
return
filename = ""
if len(args) > 2:
filename = args[2]
if args[1] == "ds":
self.classificator.saveData(filename)
else:
self.classificator.save(filename)
elif len(args) > 1:
filename = args[1]
self.classificator.save(filename)
self.inputEvent.set()
def printClassifier(self, args):
if self.classificator is None:
print("No classifier specified")
self.inputEvent.set()
return
self.classificator.printClassifier()
self.inputEvent.set()
def printHelp(self, args=None):
printHelp(args)
self.inputEvent.set()
def changeFilename(self, args):
newName = ""
if len(args) > 1:
newName = args[1]
else:
newName = str(time.time())[:-3]
self.setFileName(newName)
self.inputEvent.set()
def interrupt(self):
self.recorder.classifyStop()
self.inputEvent.set()
# Start knights tour
try:
path = []
# If closed loop solution create list for final check
if closed_loop:
end_positions = gen_possible_moves(initial_pos)
tour(1, path, initial_pos)
except PathFound:
if closed_loop:
printl("Readjust starting point back to original position")
start = path.index(start_pos)
path_from_start = path[start:]
for x in path[0:start]:
path_from_start.append(x)
path = path_from_start
return path
size = 10
tour = KnightsTour(size, (2, 0), True)
print(tour)
speed = 0.05
square_size = 50
if GUI_ON:
pygame.init()
dimensions = (square_size * size, square_size * size)
model = Model(size, size, tour, square_size)
view = View(model, dimensions, speed)
view.animate_path()