gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_detector.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
cv2.rectangle(gray, (x, y), (x + w, y + h), (255, 0, 0), 2)
count += 1
dir1 = os.path.join(dir, face_id)
if not os.path.exists(dir1):
os.makedirs(dir1)
# Save the captured image into the datasets folder
cv2.imwrite(dir1 + "/" + str(count) + ".jpg", gray[y:y + h,
x:x + w])
cv2.imshow('frame', gray)
if count >= 10:
print("10 face sample and stop dataset")
break
else:
break
capt.release()
cv2.destroyAllWindows()
encode_faces.encoding()
print("encoded images")
def custom_action():
capture_encode_faces()
watch1 = Watcher(watch_file, custom_action) # also call custom action function
watch1.watch() # start the watch going
watch1.look()
from logging import getLogger, INFO, basicConfig
logger = getLogger(__name__)
format_ = "[%(asctime)s]:%(filename)s:%(lineno)s:%(message)s"
basicConfig(format=format_, level=INFO, filename="c4N4Re.log", filemode='w')
if __name__ == "__main__":
config = ConfigParser()
config.read("config.ini")
if (not config.has_section("login")
or not config.has_option("login", "email")
or not config.has_option("login", "app_pass")):
login = Login(config=config)
try:
login.env_login()
except:
logger.critical(
"Unable to retrieve email or app password values from config file."
)
try:
watcher = Watcher(config=config)
watcher.watch()
except KeyboardInterrupt:
logger.info("Captured KeyboardInterrupt exception. Exiting program")
exit(1)
except Exception as e:
logger.critical(f"Exception -> {e}")
exit(1)
def main():
args = parse()
settings = load_settings(args.settings)
w = Watcher(settings)
w.watch()
