def __init__(self, img_q, response_q):
threading.Thread.__init__(self)
Logger.__init__(self, "YOLO")
self.log("Intialized.")
self.image_queue = img_q
self.response_queue = response_q
self.image = None
def __init__(self):
"""
Underlying channel name is given based on its classname (e.g. NPLogger)
and an individual, unique instance name, assigned at runtime. This
instance channel is a subchannel of the class channel, so all messages
are routed through both channels.
"""
class_name = self.__class__.__name__
instance_name = id(self)
full_name = "%s.%s" % (class_name, instance_name)
Logger.__init__(self, full_name)
def __init__(self, img_q, trig_q, stream):
threading.Thread.__init__(self)
Logger.__init__(self, "ROBOT_TRACKER")
self.log("Initializing.")
self.image_queue = img_q
self.trigger_queue = trig_q
self.detector = apriltag.Detector()
self.video_stream = stream
self.window_name = "robot_win"
self.stop_ = False
self.target_id = 0
self.ready = False
self.was_ready = 0
def __init__(self, obj_q, trig_q, img_q):
threading.Thread.__init__(self)
Logger.__init__(self, "SMART_ENV")
self.response_queue = obj_q
self.trigger_queue = trig_q
self.image_queue = img_q
rospy.init_node('smart_environment', anonymous=True)
#self.rate = rospy.Rate(10) # 10hz
self.ros_listener = rospy.Subscriber("/smart_environment/request",
String, self.listen_callback)
self.ros_sender = rospy.Publisher("/smart_environment/response",
String,
queue_size=10)
def __init__(self, learner):
Logger.__init__(self, "ColourLogger")
self.learner = learner
self.full_name = learner.agent_name
# on new point
self.data_logger.info("lang.name,r,g,b,word,x,y,z")
# probe point & mean point
self.probe_logger = Logger("colour.sample")
self.mean_logger = Logger("colour.mean")
# output header CSV
self.probe_logger.info("lang.name,word")
self.mean_logger.info("lang.name,word,r,g,b")
def __init__(self, log_path, console=True):
Logger.__init__(self, __name__, log_path, console)
self.current_datetime = datetime.datetime.now()
