def __init__(self):
self.api_endpoint_base = Knob(env_name="AZURE_API_ENDPOINT",
default="www.google.com",
description="C# API endpoint")
self.api_access_key = Knob(env_name="AZURE_API_HOST_KEY",
default="12345678",
description="C# API host key")
def test_registry():
Knob.clear_registry()
assert Knob.get_knob_defaults() == ''
k1 = Knob('K1', 'First knob', description='Omi')
k2 = Knob('K2', 'Second knob', description='Padre')
k1 = Knob('K3', 'Third knob', description='Magnifici')
print(Knob.get_knob_defaults())
print(repr(Knob.get_knob_defaults()))
envout = '# Omi\n# K1=First knob\n\n# Padre\n# K2=Second knob\n\n# Magnifici\n# K3=Third knob\n'
assert Knob.get_knob_defaults() == envout
def test_set():
setknob = Knob('KNOB_NAME', 'KNOB_VAL')
assert setknob.get_type() == str
assert setknob.get() == 'KNOB_VAL'
setknob.set('XX123')
assert setknob.get() == 'XX123'
def cli(
shape_predictor,
blink_ratio,
trigger,
set_alarm,
alarm_sound,
alert_msg,
webcam,
frame_width,
print_knobs,
):
""" Dedrowse drowsines detector """
if print_knobs:
print(Knob.get_knob_defaults())
sys.exit(1)
alarmer = AlarmDetector(blink_ratio, trigger=trigger, alert_message=alert_msg)
# initialize dlib's face detector (HOG-based) and then create
# the facial landmark predictor
click.echo('Loading facial landmark predictor...')
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(shape_predictor)
# grab the indexes of the facial landmarks for the left and
# right eye, respectively
l_start, l_end = face_utils.FACIAL_LANDMARKS_IDXS['left_eye']
r_start, r_end = face_utils.FACIAL_LANDMARKS_IDXS['right_eye']
# start the video stream thread
click.echo('Starting video stream thread')
vs = VideoStream(webcam).start()
# loop over frames from the video stream
while True:
# grab the frame from the threaded video file stream, resize
# it, and convert it to grayscale
# channels)
frame = vs.read()
if frame is None:
click.echo('No frame')
time.sleep(1)
continue
frame = imutils.resize(frame, width=frame_width)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# detect faces in the grayscale frame
faces = detector(gray, 0)
# loop over the face detections
for face in faces:
# determine the facial landmarks for the face region, then
# convert the facial landmark (x, y)-coordinates to a NumPy
# array
shape = predictor(gray, face)
shape = face_utils.shape_to_np(shape)
# extract the left and right eye coordinates, then use the
# coordinates to compute the eye aspect ratio for both eyes
left_eye = shape[l_start:l_end]
right_eye = shape[r_start:r_end]
left_ear = eye_aspect_ratio(left_eye)
right_ear = eye_aspect_ratio(right_eye)
# average the eye aspect ratio together for both eyes
ear = (left_ear + right_ear) / 2.0
alarmer.check(ear, frame)
draw_eyes(ear, frame, left_eye, right_eye)
# show the frame
cv2.imshow('Dedrowser is looking out for you', frame)
key = cv2.waitKey(1) & 0xFF
# if the `q` key was pressed, break from the loop
if key == ord("q"):
break
# do a bit of cleanup
cv2.destroyAllWindows()
vs.stop()
from knobs import Knob
VALIDATION_FAILED_SQS = Knob(
env_name="VALIDATION_FAILED_SQS",
default="",
description="SQS queue name for data that fails validation")
UNKNOWN_ERROR_SQS = Knob(env_name="UNKNOWN_ERROR_SQS",
default="",
description="All other SQS errors")
SQS_REGION = Knob(env_name="SQS_REGION",
default="us-east-1",
description="Region where SQS is.")
from knobs import Knob
import pkg_resources
__version__ = '0.1.0'
ALARM_SOUND = Knob('DEDROWSE_ALARM_SOUND_PATH',
pkg_resources.resource_filename('dedrowse',
'data/alarm.wav'),
description='Alarm sound file')
ALERT_MESSAGE = Knob('DEDROWSE_ALERT_MESSAGE',
'DROWSINESS DETECTED',
description='Alert message')
SHAPE_PREDICTOR = Knob('DEBROWSE_SHAPE_PREDICTOR',
pkg_resources.resource_filename('dedrowse',
'data/face.dat'),
description='Path to facial landmark predictor')
WEBCAM = Knob('DEBROWSE_WEBCAM', 0, description='Webcam number')
ALARM = Knob('DEBROWSE_ALARM', True, description='Sound the Alarm')
BLINK_ASPECT_RATIO = Knob(
'DEBROWSE_BLINK_ASPECT_RATIO',
0.3,
description='Eye aspect ratio indicating blink',
)
EYE_AR_CONSEC_FRAMES = Knob(
'DEBROWSE_AR_CONSEC_FRAMES',
def test_cast_to_string():
rope = Knob('ROPE_TO_HANG_BY', 'A stiff rope for yer nek, mate')
assert rope.get_type() == str
def test_serialize():
knob = Knob('WUNDER', 'BAR', description='Foo Bar')
assert repr(
knob
) == "Knob('WUNDER', 'BAR', unit='', description='Foo Bar', validator=None)"
def test_repr():
pirate_count = Knob('JOLLY_ROGER_PIRATES', 124, description='Yar')
assert repr(
pirate_count
) == "Knob('JOLLY_ROGER_PIRATES', 124, unit='', description='Yar', validator=None)"
def test_typle_from_env():
os.environ['TUPLE'] = 'DEAD BEEF COFFEE'
assert type(os.environ['TUPLE']) == str
knob = Knob('LIST', ('LOVE', 'THEY', 'NEIGHBOUR'))
assert knob.get_type() == tuple
assert knob() == ('DEAD', 'BEEF', 'COFFEE')
def test_list_from_env():
os.environ['LIST'] = 'DEAD BEEF COFFEE'
assert type(os.environ['LIST']) == str
knob = Knob('LIST', ['LOVE', 'THEY', 'NEIGHBOUR'])
assert knob.get_type() == list
assert knob() == ['DEAD', 'BEEF', 'COFFEE']
def test_tuple():
knob = Knob('LIST', ('LOVE', 'THEY', 'NEIGHBOUR'))
assert knob() == ('LOVE', 'THEY', 'NEIGHBOUR')
def test_knob_cast_str_auto_corrected_to_int():
knob = Knob('WUNDER', 22)
assert knob.get() == 22
def test_knob():
knob = Knob('WUNDER', 'BAR', description='Foo Bar')
assert knob() == 'BAR'
assert knob.get() == 'BAR'
assert knob.description == 'Foo Bar'
knob.rm()
from knobs import Knob
from socket import gethostname
CAMERA_NUMBER = Knob(
env_name="CAMERA_NUMBER",
default=0,
description="Raspberry Pi camera number according to "
"https://picamera.readthedocs.io/en/release-1.13/api_camera.html#picamera")
INVERT_CAMERA = Knob(env_name="CAMERA_INVERT",
default=True,
description="Vertical invert camera")
GPS_SERIAL_PORT = Knob(env_name="GPS_SERIAL_PORT",
default="/dev/ttyUSB0",
description="Serial port for GPS")
GPS_BAUD_RATE = Knob(env_name="GPS_BAUD_RATE",
default=9600,
description="Baud rate on GPS")
MODEL_PATH = Knob(env_name="MODEL_PATH",
default='/home/pi/thirdstep.model',
description="Pytorch Model Location")
BASE_URL = Knob(env_name="BASE_URL",
default='https://foo.execute-api.us-east-1.amazonaws.com',
description="Base URL to send HTTP post to")
DEVICE_NAME = Knob(env_name="DEVICE_NAME",
default=gethostname(),
from knobs import Knob
from socket import gethostname
# Knobs are basically wrappers for os.getenvs that have some niceties
CAMERA_NUMBER = Knob(
env_name="CAMERA_NUMBER",
default=0,
description="Raspberry Pi camera number according to "
"https://picamera.readthedocs.io/en/release-1.13/api_camera.html#picamera")
INVERT_CAMERA = Knob(env_name="CAMERA_INVERT",
default=True,
description="Vertical invert camera")
DEVICE_NAME = Knob(env_name="DEVICE_NAME",
default=gethostname(),
description="Device Name")
AWS_REGION = Knob(env_name="AWS_REGION",
default='us-east=1',
description="AWS region that your resources live in")
MODEL_ENDPOINT_NAME = Knob(
env_name="AWS_MODEL_ENDPOINT_NAME",
default=False,
description="AWS Model endpoint for CVEDIA Human Detector")
AWS_API_GATEWAY = Knob(
env_name="AWS_API_GATEWAY",
default="https://m5k4jhx1ka.execute-api.us-east-1.amazonaws.com/dev/",
description="AWS API Gateway Endpoint")
def test_cast_to_int():
pirate_count = Knob('JOLLY_ROGER_PIRATES', 124, description='Yar')
assert pirate_count.get() == 124
assert pirate_count.description == 'Yar'