Logging tweaks
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parent
27565d919e
commit
9b39d7cd9b
3 changed files with 14 additions and 15 deletions
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@ -13,13 +13,18 @@ logger = logging.getLogger("trap.plumbing")
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def start():
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args = parser.parse_args()
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loglevel = logging.NOTSET if args.verbose > 1 else logging.DEBUG if args.verbose > 0 else logging.INFO
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logging.basicConfig(
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level=loglevel,
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)
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# set per handler, so we can set it lower for the root logger if remote logging is enabled
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root_logger = logging.getLogger()
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[h.setLevel(loglevel) for h in root_logger.handlers]
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if args.remote_log_addr:
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logging.captureWarnings(True)
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root_logger = logging.getLogger()
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root_logger.setLevel(logging.NOTSET) # to send all records to cutelog
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socket_handler = SocketHandler(args.remote_log_addr, args.remote_log_port)
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root_logger.addHandler(socket_handler)
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@ -301,7 +301,7 @@ class InferenceServer:
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robot_present_and_future=robot_present_and_future,
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full_dist=True)
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end = time.time()
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logger.info("t=%d: took %.2f s (= %.2f Hz) w/ %d nodes and %d edges" % (timestep, end - start,
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logger.debug("took %.2f s (= %.2f Hz) w/ %d nodes and %d edges" % (end - start,
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1. / (end - start), len(trajectron.nodes),
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trajectron.scene_graph.get_num_edges()))
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@ -348,7 +348,7 @@ class InferenceServer:
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}
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data = json.dumps(response)
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logger.info(f"Frame delay = {time.time()-frame.time}s")
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logger.info(f"Total frame delay = {time.time()-frame.time}s ({len(trajectron.nodes)} nodes & {trajectron.scene_graph.get_num_edges()} edges. Trajectron: {end - start}s)")
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self.prediction_socket.send_string(data)
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@ -56,16 +56,9 @@ class Tracker:
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def track(self):
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while True:
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msg = self.frame_sock.recv()
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# after block, exhaust the queue: (superfluous now that CONFLATE is before the connect)
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# i = 1
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# while True:
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# try:
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# msg = self.frame_sock.recv(zmq.NOBLOCK)
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# i+=1
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# except Exception as e:
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# break
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frame: Frame = pickle.loads(msg)
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logger.info(f"Frame delivery delay = {time.time()-frame.time}s")
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frame: Frame = pickle.loads(msg) # frame delivery in current setup: 0.012-0.03s
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# logger.info(f"Frame delivery delay = {time.time()-frame.time}s")
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start_time = time.time()
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detections = self.detect_persons(frame.img)
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tracks: [Track] = self.mot_tracker.update_tracks(detections, frame=frame.img)
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@ -84,10 +77,11 @@ class Tracker:
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"id": tid,
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"history": [{"x":c[0], "y":c[1]} for c in coords] # already doubles nested, fine for test
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}
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logger.debug(f"{trajectories}")
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# logger.debug(f"{trajectories}")
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frame.trajectories = trajectories
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logger.info(f"trajectory delay = {time.time()-frame.time}s")
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current_time = time.time()
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logger.debug(f"Trajectories: {len(trajectories)}. Current frame delay = {current_time-frame.time}s (trajectories: {current_time - start_time}s)")
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self.trajectory_socket.send(pickle.dumps(frame))
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# self.trajectory_socket.send_string(json.dumps(trajectories))
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# provide a {ID: {id: ID, history: [[x,y],[x,y],...]}}
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