class Application:
def __init__(self, **kwargs):
self.verbose = kwargs.get('verbose', DEFAULT_VERBOSE)
self.webcam = Webcam(**kwargs)
self.gpio = GPIO(inputs = INPUT_PINS, outputs = OUTPUT_PINS)
def main_loop(self):
i = 0
try:
self.gpio.export()
while True:
button_state = self.gpio[SNAP_BUTTON_PIN]
self.gpio[SNAP_LED_PIN] = button_state
if button_state:
dt = datetime.datetime.now()
filename_prefix = dt.strftime("%Y-%m-%d_%H_%M_%S")
filename_suffix = "_img%03d" % i
self.webcam.take_photo(filename_prefix = filename_prefix,
filename_suffix = filename_suffix,
blocking = True,
)
self.gpio[SNAP_LED_PIN] = button_state
time.sleep(SLEEP_TIME)
except KeyboardInterrupt:
if self.verbose:
print "user aborted capture...goodbye"
finally:
self.gpio.unexport()
def emotion_recognition():
client = docker.from_env()
t = time.time()
isOpen = Webcam.open()
if not isOpen:
print("ERROR: cannot open webcam")
return None
Webcam.take_photo(path_volume + "face.jpg")
Webcam.close()
if not watch(path_volume + "face.jpg", t):
print("ERROR: cannot take photo")
return None
t = time.time()
client.containers.run('app_emotion_recognition',
command='volume/face.jpg volume/emotion.txt',
volumes=volumes,
auto_remove=True)
os.remove(path_volume + "face.jpg")
if not watch(path_volume + "emotion.txt", t):
print("ERROR: emotion_recognition cannot detect face or emotion")
return None
f = open(path_volume + "emotion.txt", "r")
res = f.readline()
f.close()
if not res.isdigit():
print("ERROR: emotion is not int")
return None
os.remove(path_volume + "emotion.txt")
emotion_index = int(res)
if emotion_index < 0:
return None
else:
return EMOTIONS[emotion_index]
def face_recognizer(face_path=None, face_bib="faces.json"):
if not face_path:
face_path = "face.jpg"
t = time.time()
isOpen = Webcam.open()
if not isOpen:
print("ERROR: cannot open webcam")
return None
Webcam.take_photo(path_volume + face_path)
Webcam.close()
if not watch(path_volume + face_path, t):
print("ERROR: cannot take photo")
return None
client = docker.from_env()
t = time.time()
face_path = "face.jpg"
client.containers.run('app_face_recognizer',
command='volume/' + face_path + ' volume/' +
face_bib + ' volume/face_reco.txt volume',
volumes=volumes,
auto_remove=True)
os.remove(path_volume + face_path)
if not watch(path_volume + "face_reco.txt", t):
print("ERROR: face_recognizer cannot detect any face")
return None
f = open(path_volume + "face_reco.txt", "r")
name = f.readline()
f.close()
os.remove(path_volume + "face_reco.txt")
return name