def __init__(self, args):
# Imaging device - must be a connected camera (not an ip camera or mjpeg
# stream)
serial = args.serial
baud = args.baud
self.send_serial = False
self.send_udp = False
if serial:
self.send_serial = True
if not baud:
baud = 9600
else:
baud = int(baud)
self.serial = Serial(port=serial, baudrate=baud)
udp = args.udp
if udp:
self.send_udp = True
if ":" not in udp:
ip = udp
port = 5005
else:
ip, port = udp.split(":")
port = int(port)
self.udp = (ip, port)
self.sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) # Internet # UDP
self.cameras = []
self.selected_cam = 0
for i in xrange(3):
camera = Camera(camera=i) # first camera by default
if camera.valid or not len(self.cameras):
self.cameras.append(camera)
else:
break
self.w, self.h = 0, 0
self.pressed = 0
# Containerized analysis of recieved image frames (an openMDAO assembly)
# is defined next.
# This assembly is designed to handle all image & signal analysis,
# such as face detection, forehead isolation, time series collection,
# heart-beat detection, etc.
# Basically, everything that isn't communication
# to the camera device or part of the GUI
self.processor = findFaceGetPulse(bpm_limits=[50, 160], data_spike_limit=2500.0, face_detector_smoothness=10.0)
# Init parameters for the cardiac data plot
self.bpm_plot = False
self.plot_title = "Data display - raw signal (top) and PSD (bottom)"
# Maps keystrokes to specified methods
# (A GUI window must have focus for these to work)
self.key_controls = {
"s": self.toggle_search,
"d": self.toggle_display_plot,
"c": self.toggle_cam,
"f": self.write_csv,
}
def __init__(self):
self.bpm_detector = findFaceGetPulse(
bpm_limits=[50, 160],
data_spike_limit=2500.,
face_detector_smoothness=10.,
cascade_path=self._face_cascade)
self.bpm_attempts = 0
self.last_bpm = 61.2
self.face_detector = self.make_face_detector()
self.smile_detector = Detector('smile')
self.heartbeat_deque = deque()
self.likeness = 0
