def __init__(self, model, camera_id, cascade_filename, run_local, wait=50):
self.model = model
self.wait = wait
self.detector = CascadedDetector(cascade_fn=cascade_filename,
minNeighbors=5,
scaleFactor=1.1)
if run_local:
self.cam = create_capture(camera_id)
def __init__(self, model, cascade_filename, run_local, wait, rp):
self.rp = rp
self.wait = wait
self.doRun = True
self.model = model
self.restart = False
self.ros_restart_request = False
self.detector = CascadedDetector(cascade_fn=cascade_filename,
minNeighbors=5,
scaleFactor=1.1)
if run_local:
print ">> Error: Run local selected in ROS based Recognizer"
sys.exit(1)
else:
self.bridge = CvBridge()
def signal_handler(signal, frame):
print ">> ROS Exiting"
self.doRun = False
signal.signal(signal.SIGINT, signal_handler)
def __init__(self,
model,
camera_id,
cascade_filename,
run_local,
inscope="/rsbopencv/ipl",
outscope="/ocvfacerec/rsb/people",
wait=50,
notification="/ocvfacerec/rsb/restart/",
show_gui=False):
self.model = model
self.wait = wait
self.notification_scope = notification
self.show_gui = show_gui
self.detector = CascadedDetector(cascade_fn=cascade_filename,
minNeighbors=5,
scaleFactor=1.1)
if run_local:
print ">> Error Run local selected in RSB based Recognizer"
sys.exit(1)
self.doRun = True
self.restart = False
def signal_handler(signal, frame):
print "\n>> RSB Exiting"
self.doRun = False
signal.signal(signal.SIGINT, signal_handler)
# RSB
try:
rsb.converter.registerGlobalConverter(IplimageConverter())
except Exception, e:
# If they are already loaded, the lib throws an exception ...
# print ">> [Error] While loading RST converter: ", e
pass
