def __init__(self):
#Imaging device - must be a connected camera (not an ip camera or mjpeg
#stream)
self.camera = Camera(camera=0) #first camera by default
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.,
face_detector_smoothness=10.)
#Init parameters for the cardiac data plot
self.bpm_plot = False
self.plot_title = "Cardiac info - raw signal, filtered signal, and PSD"
#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,
"f": self.write_csv
}
def __init__(self, args):
# assumes connected camera uses cam0 by default
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, # Internet
socket.SOCK_DGRAM) # UDP
self.cameras = []
self.selected_cam = 0
for i in range(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.,
face_detector_smoothness=10.)
# 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, 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, # Internet
socket.SOCK_DGRAM) # UDP
self.cameras = []
self.selected_cam = 0
for i in range(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
self.processor = findFaceGetPulse(bpm_limits=[50, 160],
data_spike_limit=2500.,
face_detector_smoothness=10.)
# 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, args):
#tried to use droidcam from playstore,this won't work like that
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, # Internet
socket.SOCK_DGRAM) # UDP
self.cameras = []
self.selected_cam = 0
for i in range(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
self.processor = findFaceGetPulse(bpm_limits=[50, 160],
data_spike_limit=2500.,
face_detector_smoothness=10.)
self.bpm_plot = False
self.plot_title = "Data display - raw signal (top) and PSD (bottom)"
self.key_controls = {
"s": self.toggle_search,
"d": self.toggle_display_plot,
"c": self.toggle_cam,
"f": self.write_csv
}
def __init__(self, args):
self.COUNTER = 0
self.cameras = []
self.selected_cam = 0
for i in range(3):
camera = Camera(camera=i) # first camera by default
if camera.valid or not len(self.cameras):
self.cameras.append(camera)
else:
break
self.processor = findFaceGetPulse(bpm_limits=[50, 160],
data_spike_limit=2500.,
face_detector_smoothness=10.)
self.plot_title = "Real-Time Heart Rate"
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)
self.cameras = []
self.selected_cam = 0
for i in range(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.,
face_detector_smoothness=10.)
# 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
}
def __init__(self):
#Imaging device - must be a connected camera (not an ip camera or mjpeg
#stream)
self.camera = Camera(camera=0) #first camera by default
self.w,self.h = 0,0
self.pressed = 0
self.current_centroid = [0.0,0.0]
self.centroid_1 = [0.0,0.0]
self.centroid_2 = [0.0,0.0]
self.centroid_1_active = False
self.centroid_2_active = False
#Maps keystrokes to specified methods
#(A GUI window must have focus for these to work)
self.key_controls = {"1" : self.set_centroid_1,
"2" : self.set_centroid_2}
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
if serial:
self.send_serial = True
if not baud:
baud = 9600
else:
baud = int(baud)
self.serial = Serial(port=serial, baudrate=baud)
self.cameras = []
self.selected_cam = 0
for i in range(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.,
face_detector_smoothness=10.)
self.key_controls = {}
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
self.video_flag = 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, # Internet
socket.SOCK_DGRAM) # UDP
self.cameras = []
self.selected_cam = 0
for i in range(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 received 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.,
face_detector_smoothness=10.)
# 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,
"v": self.toggle_video
}
self.video = cv2.VideoCapture('video1.avi')
#self.video.set(cv2.CAP_PROP_FPS, 16)
self.csvn = "Webcam-pulse"
fps = self.video.get(cv2.CAP_PROP_FPS)
print "Frames per second using video.get(cv2.CAP_PROP_FPS) : {0}".format(
fps)
#Creates a blank image of 200x200 size to initialise self.irframe
blank_image = np.zeros((400, 400, 3), np.uint8)
self.irframe = blank_image
#self.irframe = None
self.callbackFlag = False
def __init__(self, args):
# Imaging device - must be a connected camera (not an ip camera or mjpeg
# stream)
serial = args.serial
baud = args.baud
video = args.video
self.Tx = False
self.environment = []
self.ser = None
self.kill = False
self.vidname = ""
self.send_serial = False
self.send_udp = False
self.question_number = "-1"
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, # Internet
socket.SOCK_DGRAM) # UDP
if video:
self.vidname = video
self.cameras = []
self.selected_cam = 0
if args.url is not None:
camera = Camera(camera=args.url)
self.cameras.append(camera)
elif args.video_dir is None:
# Real-time for camera=0, read from one video
# first camera by default
camera = Camera(camera=0, vid=self.vidname)
if camera.valid or not len(self.cameras):
self.cameras.append(camera)
else:
print('Error: No camera was found')
else:
# read all videos from a directory in a sequence
self.video_names = glob.glob(args.video_dir + '/*.mp4')
self.video_names.sort()
for i in range(len(self.video_names)):
# start from the first video
camera = Video(vid=self.video_names[i])
if camera.valid or not len(self.cameras):
self.cameras.append(camera)
self.w, self.h = 0, 0
# self.record = False
self.sz = (int(self.cameras[self.selected_cam].cam.get(
cv2.CAP_PROP_FRAME_WIDTH)),
int(self.cameras[self.selected_cam].cam.get(
cv2.CAP_PROP_FRAME_HEIGHT)))
self.fourcc = cv2.VideoWriter_fourcc(*'MP4V')
self.fps = 25
self.q = 0
# self.out = None
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.,
face_detector_smoothness=10.)
self.processor.init_temp = args.init_temp
# 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,
# "g": self.start_record,
# "f": self.stop_record
}
