Files
picar/persontracking/lidar_cache.py

63 lines
2.0 KiB
Python

import rplidar
from rplidar import RPLidar
from threading import Thread
from persontracking import algorithms
import persontracking.lidar_tracker_pb2 as tracker_pb
import zmq
class LidarCache():
'''
A class that retrieves scans from the lidar,
runs grouping algorithms between scans and
keeps a copy of the group data.
'''
run = True
tracking_group_number = -1
currentGroups = None
groupsChanged = []
port = None
def __init__(self, measurements=100):
self.lidar = RPLidar('/dev/ttyUSB0')
self.measurements = measurements
print('Info: ' + self.lidar.get_info())
print('Health: ' + self.lidar.get_health())
def start_cache(self):
if self.port is None:
print('ERROR: Port has not been set!')
return
self.thread = Thread(target=self.do_scanning)
self.thread.start()
def do_scanning(self):
'''
Performs a scan for the given number of iterations.
'''
# Create the 0MQ socket first. This should not be passed between threads.
self._socket = self._create_socket()
self._socket.bind("tcp://*:" + str(self.port))
for i, scan in enumerate(self.lidar.iter_scans(min_len=self.measurements)):
print('%d: Got %d measurments' % (i, len(scan)))
if(not self.run):
break
# Now process the groups.
if self.currentGroups is not None:
self.currentGroups = algorithms.assign_groups(
self.currentGroups, algorithms.calc_groups(scan))
else:
self.currentGroups = algorithms.calc_groups(scan)
def fireGroupsChanged(self):
# Send the updated groups to 0MQ socket.
self._socket.send_multipart(["lidar_map", tracker_pb.PointScan(points=[]).SerializeToString()])
def stop_scanning(self):
self.run = False
def _create_socket(self):
return zmq.Context.instance().socket(zmq.PUB)