def all_models():
models = []
for user_id in Config.ALL_USERS:
path = Model.path_for_user(user_id)
if not os.path.exists(path):
train(user_id)
model = Model.load_for_user(user_id)
models.append(model)
return models
if len(sys.argv) < (n + 2):
raise ArgumentError('Incorrect number of arguments!')
def arg(n):
assert_num_args(n)
return sys.argv[n + 1]
if __name__ == '__main__':
if arg(0) == '--train':
try:
train(arg(1))
except ArgumentError:
for user_id in Config.ALL_USERS:
train(user_id)
elif arg(0) == '--predict':
model = Model.load_for_user(arg(1))
label, confidence, images = model.run_prediction_loop(raise_on_no_face=True)
print model.last_prediction_data
print 'Predicted {label} with confidence of {confidence}!'.format(label=label.name, confidence=confidence)
for image in images:
try:
key = chr(image.show()).upper()
except ValueError:
key = None
if key == 'Y':
print 'Recorded hit!'
elif key == 'N':
print 'Recorded miss!'
elif arg(0) == '--identify':
