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563 lines
19 KiB
563 lines
19 KiB
#!/usr/bin/env python3
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import argparse
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import math
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import os
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import signal
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import threading
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import time
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from multiprocessing import Process, Queue
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from typing import Any
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import carla # pylint: disable=import-error
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import numpy as np
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import pyopencl as cl
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import pyopencl.array as cl_array
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import cereal.messaging as messaging
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from cereal import log
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from cereal.visionipc import VisionIpcServer, VisionStreamType
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from common.basedir import BASEDIR
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from common.numpy_fast import clip
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from common.params import Params
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from common.realtime import DT_DMON, Ratekeeper
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from selfdrive.car.honda.values import CruiseButtons
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from selfdrive.test.helpers import set_params_enabled
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from tools.sim.lib.can import can_function
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W, H = 1928, 1208
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REPEAT_COUNTER = 5
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PRINT_DECIMATION = 100
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STEER_RATIO = 15.
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pm = messaging.PubMaster(['roadCameraState', 'wideRoadCameraState', 'accelerometer', 'gyroscope', 'can', "gpsLocationExternal"])
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sm = messaging.SubMaster(['carControl', 'controlsState'])
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def parse_args(add_args=None):
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parser = argparse.ArgumentParser(description='Bridge between CARLA and openpilot.')
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parser.add_argument('--joystick', action='store_true')
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parser.add_argument('--high_quality', action='store_true')
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parser.add_argument('--dual_camera', action='store_true')
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parser.add_argument('--town', type=str, default='Town04_Opt')
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parser.add_argument('--spawn_point', dest='num_selected_spawn_point', type=int, default=16)
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return parser.parse_args(add_args)
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class VehicleState:
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def __init__(self):
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self.speed = 0.0
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self.angle = 0.0
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self.bearing_deg = 0.0
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self.vel = carla.Vector3D()
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self.cruise_button = 0
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self.is_engaged = False
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self.ignition = True
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def steer_rate_limit(old, new):
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# Rate limiting to 0.5 degrees per step
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limit = 0.5
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if new > old + limit:
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return old + limit
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elif new < old - limit:
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return old - limit
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else:
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return new
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class Camerad:
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def __init__(self):
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self.frame_road_id = 0
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self.frame_wide_id = 0
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self.vipc_server = VisionIpcServer("camerad")
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self.vipc_server.create_buffers(VisionStreamType.VISION_STREAM_ROAD, 5, False, W, H)
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self.vipc_server.create_buffers(VisionStreamType.VISION_STREAM_WIDE_ROAD, 5, False, W, H)
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self.vipc_server.start_listener()
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# set up for pyopencl rgb to yuv conversion
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self.ctx = cl.create_some_context()
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self.queue = cl.CommandQueue(self.ctx)
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cl_arg = f" -DHEIGHT={H} -DWIDTH={W} -DRGB_STRIDE={W * 3} -DUV_WIDTH={W // 2} -DUV_HEIGHT={H // 2} -DRGB_SIZE={W * H} -DCL_DEBUG "
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# TODO: move rgb_to_yuv.cl to local dir once the frame stream camera is removed
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kernel_fn = os.path.join(BASEDIR, "system", "camerad", "transforms", "rgb_to_yuv.cl")
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with open(kernel_fn) as f:
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prg = cl.Program(self.ctx, f.read()).build(cl_arg)
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self.krnl = prg.rgb_to_yuv
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self.Wdiv4 = W // 4 if (W % 4 == 0) else (W + (4 - W % 4)) // 4
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self.Hdiv4 = H // 4 if (H % 4 == 0) else (H + (4 - H % 4)) // 4
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def cam_callback_road(self, image):
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self._cam_callback(image, self.frame_road_id, 'roadCameraState', VisionStreamType.VISION_STREAM_ROAD)
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self.frame_road_id += 1
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def cam_callback_wide_road(self, image):
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self._cam_callback(image, self.frame_wide_id, 'wideRoadCameraState', VisionStreamType.VISION_STREAM_WIDE_ROAD)
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self.frame_wide_id += 1
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def _cam_callback(self, image, frame_id, pub_type, yuv_type):
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img = np.frombuffer(image.raw_data, dtype=np.dtype("uint8"))
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img = np.reshape(img, (H, W, 4))
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img = img[:, :, [0, 1, 2]].copy()
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# convert RGB frame to YUV
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rgb = np.reshape(img, (H, W * 3))
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rgb_cl = cl_array.to_device(self.queue, rgb)
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yuv_cl = cl_array.empty_like(rgb_cl)
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self.krnl(self.queue, (np.int32(self.Wdiv4), np.int32(self.Hdiv4)), None, rgb_cl.data, yuv_cl.data).wait()
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yuv = np.resize(yuv_cl.get(), rgb.size // 2)
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eof = int(frame_id * 0.05 * 1e9)
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self.vipc_server.send(yuv_type, yuv.data.tobytes(), frame_id, eof, eof)
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dat = messaging.new_message(pub_type)
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msg = {
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"frameId": frame_id,
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"transform": [1.0, 0.0, 0.0,
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0.0, 1.0, 0.0,
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0.0, 0.0, 1.0]
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}
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setattr(dat, pub_type, msg)
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pm.send(pub_type, dat)
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def imu_callback(imu, vehicle_state):
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# send 5x since 'sensor_tick' doesn't seem to work. limited by the world tick?
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for _ in range(5):
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vehicle_state.bearing_deg = math.degrees(imu.compass)
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dat = messaging.new_message('accelerometer')
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dat.accelerometer.sensor = 4
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dat.accelerometer.type = 0x1
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dat.accelerometer.timestamp = dat.logMonoTime # TODO: use the IMU timestamp
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dat.accelerometer.init('acceleration')
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dat.accelerometer.acceleration.v = [imu.accelerometer.x, imu.accelerometer.y, imu.accelerometer.z]
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pm.send('accelerometer', dat)
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# copied these numbers from locationd
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dat = messaging.new_message('gyroscope')
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dat.gyroscope.sensor = 5
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dat.gyroscope.type = 0x10
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dat.gyroscope.timestamp = dat.logMonoTime # TODO: use the IMU timestamp
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dat.gyroscope.init('gyroUncalibrated')
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dat.gyroscope.gyroUncalibrated.v = [imu.gyroscope.x, imu.gyroscope.y, imu.gyroscope.z]
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pm.send('gyroscope', dat)
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time.sleep(0.01)
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def panda_state_function(vs: VehicleState, exit_event: threading.Event):
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pm = messaging.PubMaster(['pandaStates'])
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while not exit_event.is_set():
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dat = messaging.new_message('pandaStates', 1)
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dat.valid = True
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dat.pandaStates[0] = {
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'ignitionLine': vs.ignition,
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'pandaType': "blackPanda",
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'controlsAllowed': True,
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'safetyModel': 'hondaNidec'
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}
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pm.send('pandaStates', dat)
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time.sleep(0.5)
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def peripheral_state_function(exit_event: threading.Event):
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pm = messaging.PubMaster(['peripheralState'])
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while not exit_event.is_set():
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dat = messaging.new_message('peripheralState')
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dat.valid = True
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# fake peripheral state data
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dat.peripheralState = {
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'pandaType': log.PandaState.PandaType.blackPanda,
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'voltage': 12000,
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'current': 5678,
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'fanSpeedRpm': 1000
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}
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pm.send('peripheralState', dat)
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time.sleep(0.5)
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def gps_callback(gps, vehicle_state):
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dat = messaging.new_message('gpsLocationExternal')
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# transform vel from carla to NED
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# north is -Y in CARLA
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velNED = [
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-vehicle_state.vel.y, # north/south component of NED is negative when moving south
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vehicle_state.vel.x, # positive when moving east, which is x in carla
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vehicle_state.vel.z,
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]
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dat.gpsLocationExternal = {
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"unixTimestampMillis": int(time.time() * 1000),
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"flags": 1, # valid fix
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"accuracy": 1.0,
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"verticalAccuracy": 1.0,
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"speedAccuracy": 0.1,
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"bearingAccuracyDeg": 0.1,
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"vNED": velNED,
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"bearingDeg": vehicle_state.bearing_deg,
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"latitude": gps.latitude,
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"longitude": gps.longitude,
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"altitude": gps.altitude,
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"speed": vehicle_state.speed,
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"source": log.GpsLocationData.SensorSource.ublox,
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}
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pm.send('gpsLocationExternal', dat)
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def fake_driver_monitoring(exit_event: threading.Event):
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pm = messaging.PubMaster(['driverStateV2', 'driverMonitoringState'])
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while not exit_event.is_set():
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# dmonitoringmodeld output
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dat = messaging.new_message('driverStateV2')
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dat.driverStateV2.leftDriverData.faceProb = 1.0
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pm.send('driverStateV2', dat)
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# dmonitoringd output
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dat = messaging.new_message('driverMonitoringState')
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dat.driverMonitoringState = {
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"faceDetected": True,
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"isDistracted": False,
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"awarenessStatus": 1.,
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}
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pm.send('driverMonitoringState', dat)
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time.sleep(DT_DMON)
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def can_function_runner(vs: VehicleState, exit_event: threading.Event):
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i = 0
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while not exit_event.is_set():
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can_function(pm, vs.speed, vs.angle, i, vs.cruise_button, vs.is_engaged)
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time.sleep(0.01)
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i += 1
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def connect_carla_client():
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client = carla.Client("127.0.0.1", 2000)
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client.set_timeout(5)
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return client
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class CarlaBridge:
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def __init__(self, arguments):
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set_params_enabled()
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self.params = Params()
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msg = messaging.new_message('liveCalibration')
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msg.liveCalibration.validBlocks = 20
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msg.liveCalibration.rpyCalib = [0.0, 0.0, 0.0]
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self.params.put("CalibrationParams", msg.to_bytes())
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self.params.put_bool("WideCameraOnly", not arguments.dual_camera)
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self._args = arguments
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self._carla_objects = []
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self._camerad = None
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self._exit_event = threading.Event()
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self._threads = []
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self._keep_alive = True
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self.started = False
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signal.signal(signal.SIGTERM, self._on_shutdown)
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self._exit = threading.Event()
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def _on_shutdown(self, signal, frame):
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self._keep_alive = False
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def bridge_keep_alive(self, q: Queue, retries: int):
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try:
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while self._keep_alive:
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try:
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self._run(q)
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break
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except RuntimeError as e:
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self.close()
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if retries == 0:
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raise
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# Reset for another try
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self._carla_objects = []
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self._threads = []
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self._exit_event = threading.Event()
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retries -= 1
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if retries <= -1:
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print(f"Restarting bridge. Error: {e} ")
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else:
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print(f"Restarting bridge. Retries left {retries}. Error: {e} ")
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finally:
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# Clean up resources in the opposite order they were created.
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self.close()
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def _run(self, q: Queue):
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client = connect_carla_client()
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world = client.load_world(self._args.town)
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settings = world.get_settings()
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settings.synchronous_mode = True # Enables synchronous mode
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settings.fixed_delta_seconds = 0.05
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world.apply_settings(settings)
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world.set_weather(carla.WeatherParameters.ClearSunset)
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if not self._args.high_quality:
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world.unload_map_layer(carla.MapLayer.Foliage)
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world.unload_map_layer(carla.MapLayer.Buildings)
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world.unload_map_layer(carla.MapLayer.ParkedVehicles)
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world.unload_map_layer(carla.MapLayer.Props)
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world.unload_map_layer(carla.MapLayer.StreetLights)
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world.unload_map_layer(carla.MapLayer.Particles)
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blueprint_library = world.get_blueprint_library()
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world_map = world.get_map()
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vehicle_bp = blueprint_library.filter('vehicle.tesla.*')[1]
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vehicle_bp.set_attribute('role_name', 'hero')
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spawn_points = world_map.get_spawn_points()
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assert len(spawn_points) > self._args.num_selected_spawn_point, f'''No spawn point {self._args.num_selected_spawn_point}, try a value between 0 and
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{len(spawn_points)} for this town.'''
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spawn_point = spawn_points[self._args.num_selected_spawn_point]
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vehicle = world.spawn_actor(vehicle_bp, spawn_point)
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self._carla_objects.append(vehicle)
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max_steer_angle = vehicle.get_physics_control().wheels[0].max_steer_angle
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# make tires less slippery
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# wheel_control = carla.WheelPhysicsControl(tire_friction=5)
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physics_control = vehicle.get_physics_control()
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physics_control.mass = 2326
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# physics_control.wheels = [wheel_control]*4
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physics_control.torque_curve = [[20.0, 500.0], [5000.0, 500.0]]
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physics_control.gear_switch_time = 0.0
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vehicle.apply_physics_control(physics_control)
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transform = carla.Transform(carla.Location(x=0.8, z=1.13))
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def create_camera(fov, callback):
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blueprint = blueprint_library.find('sensor.camera.rgb')
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blueprint.set_attribute('image_size_x', str(W))
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blueprint.set_attribute('image_size_y', str(H))
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blueprint.set_attribute('fov', str(fov))
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if not self._args.high_quality:
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blueprint.set_attribute('enable_postprocess_effects', 'False')
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camera = world.spawn_actor(blueprint, transform, attach_to=vehicle)
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camera.listen(callback)
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return camera
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self._camerad = Camerad()
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if self._args.dual_camera:
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road_camera = create_camera(fov=40, callback=self._camerad.cam_callback_road)
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self._carla_objects.append(road_camera)
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road_wide_camera = create_camera(fov=120, callback=self._camerad.cam_callback_wide_road) # fov bigger than 120 shows unwanted artifacts
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self._carla_objects.append(road_wide_camera)
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vehicle_state = VehicleState()
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# re-enable IMU
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imu_bp = blueprint_library.find('sensor.other.imu')
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imu_bp.set_attribute('sensor_tick', '0.01')
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imu = world.spawn_actor(imu_bp, transform, attach_to=vehicle)
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imu.listen(lambda imu: imu_callback(imu, vehicle_state))
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gps_bp = blueprint_library.find('sensor.other.gnss')
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gps = world.spawn_actor(gps_bp, transform, attach_to=vehicle)
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gps.listen(lambda gps: gps_callback(gps, vehicle_state))
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self.params.put_bool("UbloxAvailable", True)
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self._carla_objects.extend([imu, gps])
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# launch fake car threads
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self._threads.append(threading.Thread(target=panda_state_function, args=(vehicle_state, self._exit_event,)))
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self._threads.append(threading.Thread(target=peripheral_state_function, args=(self._exit_event,)))
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self._threads.append(threading.Thread(target=fake_driver_monitoring, args=(self._exit_event,)))
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self._threads.append(threading.Thread(target=can_function_runner, args=(vehicle_state, self._exit_event,)))
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for t in self._threads:
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t.start()
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# init
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throttle_ease_out_counter = REPEAT_COUNTER
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brake_ease_out_counter = REPEAT_COUNTER
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steer_ease_out_counter = REPEAT_COUNTER
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vc = carla.VehicleControl(throttle=0, steer=0, brake=0, reverse=False)
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is_openpilot_engaged = False
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throttle_out = steer_out = brake_out = 0.
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throttle_op = steer_op = brake_op = 0.
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throttle_manual = steer_manual = brake_manual = 0.
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old_steer = old_brake = old_throttle = 0.
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throttle_manual_multiplier = 0.7 # keyboard signal is always 1
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brake_manual_multiplier = 0.7 # keyboard signal is always 1
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steer_manual_multiplier = 45 * STEER_RATIO # keyboard signal is always 1
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# Simulation tends to be slow in the initial steps. This prevents lagging later
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for _ in range(20):
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world.tick()
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# loop
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rk = Ratekeeper(100, print_delay_threshold=0.05)
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while self._keep_alive:
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# 1. Read the throttle, steer and brake from op or manual controls
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# 2. Set instructions in Carla
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# 3. Send current carstate to op via can
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cruise_button = 0
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throttle_out = steer_out = brake_out = 0.0
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throttle_op = steer_op = brake_op = 0.0
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throttle_manual = steer_manual = brake_manual = 0.0
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# --------------Step 1-------------------------------
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if not q.empty():
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message = q.get()
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m = message.split('_')
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if m[0] == "steer":
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steer_manual = float(m[1])
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is_openpilot_engaged = False
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elif m[0] == "throttle":
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throttle_manual = float(m[1])
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is_openpilot_engaged = False
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elif m[0] == "brake":
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brake_manual = float(m[1])
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is_openpilot_engaged = False
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elif m[0] == "reverse":
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cruise_button = CruiseButtons.CANCEL
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is_openpilot_engaged = False
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elif m[0] == "cruise":
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if m[1] == "down":
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cruise_button = CruiseButtons.DECEL_SET
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is_openpilot_engaged = True
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elif m[1] == "up":
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cruise_button = CruiseButtons.RES_ACCEL
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is_openpilot_engaged = True
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elif m[1] == "cancel":
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cruise_button = CruiseButtons.CANCEL
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is_openpilot_engaged = False
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elif m[0] == "ignition":
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vehicle_state.ignition = not vehicle_state.ignition
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elif m[0] == "quit":
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break
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throttle_out = throttle_manual * throttle_manual_multiplier
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steer_out = steer_manual * steer_manual_multiplier
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brake_out = brake_manual * brake_manual_multiplier
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old_steer = steer_out
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old_throttle = throttle_out
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old_brake = brake_out
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if is_openpilot_engaged:
|
|
sm.update(0)
|
|
|
|
# TODO gas and brake is deprecated
|
|
throttle_op = clip(sm['carControl'].actuators.accel / 1.6, 0.0, 1.0)
|
|
brake_op = clip(-sm['carControl'].actuators.accel / 4.0, 0.0, 1.0)
|
|
steer_op = sm['carControl'].actuators.steeringAngleDeg
|
|
|
|
throttle_out = throttle_op
|
|
steer_out = steer_op
|
|
brake_out = brake_op
|
|
|
|
steer_out = steer_rate_limit(old_steer, steer_out)
|
|
old_steer = steer_out
|
|
|
|
else:
|
|
if throttle_out == 0 and old_throttle > 0:
|
|
if throttle_ease_out_counter > 0:
|
|
throttle_out = old_throttle
|
|
throttle_ease_out_counter += -1
|
|
else:
|
|
throttle_ease_out_counter = REPEAT_COUNTER
|
|
old_throttle = 0
|
|
|
|
if brake_out == 0 and old_brake > 0:
|
|
if brake_ease_out_counter > 0:
|
|
brake_out = old_brake
|
|
brake_ease_out_counter += -1
|
|
else:
|
|
brake_ease_out_counter = REPEAT_COUNTER
|
|
old_brake = 0
|
|
|
|
if steer_out == 0 and old_steer != 0:
|
|
if steer_ease_out_counter > 0:
|
|
steer_out = old_steer
|
|
steer_ease_out_counter += -1
|
|
else:
|
|
steer_ease_out_counter = REPEAT_COUNTER
|
|
old_steer = 0
|
|
|
|
# --------------Step 2-------------------------------
|
|
steer_carla = steer_out / (max_steer_angle * STEER_RATIO * -1)
|
|
|
|
steer_carla = np.clip(steer_carla, -1, 1)
|
|
steer_out = steer_carla * (max_steer_angle * STEER_RATIO * -1)
|
|
old_steer = steer_carla * (max_steer_angle * STEER_RATIO * -1)
|
|
|
|
vc.throttle = throttle_out / 0.6
|
|
vc.steer = steer_carla
|
|
vc.brake = brake_out
|
|
vehicle.apply_control(vc)
|
|
|
|
# --------------Step 3-------------------------------
|
|
vel = vehicle.get_velocity()
|
|
speed = math.sqrt(vel.x ** 2 + vel.y ** 2 + vel.z ** 2) # in m/s
|
|
vehicle_state.speed = speed
|
|
vehicle_state.vel = vel
|
|
vehicle_state.angle = steer_out
|
|
vehicle_state.cruise_button = cruise_button
|
|
vehicle_state.is_engaged = is_openpilot_engaged
|
|
|
|
if rk.frame % PRINT_DECIMATION == 0:
|
|
print("frame: ", "engaged:", is_openpilot_engaged, "; throttle: ", round(vc.throttle, 3), "; steer(c/deg): ",
|
|
round(vc.steer, 3), round(steer_out, 3), "; brake: ", round(vc.brake, 3))
|
|
|
|
if rk.frame % 5 == 0:
|
|
world.tick()
|
|
rk.keep_time()
|
|
self.started = True
|
|
|
|
def close(self):
|
|
self.started = False
|
|
self._exit_event.set()
|
|
|
|
for s in self._carla_objects:
|
|
try:
|
|
s.destroy()
|
|
except Exception as e:
|
|
print("Failed to destroy carla object", e)
|
|
for t in reversed(self._threads):
|
|
t.join()
|
|
|
|
def run(self, queue, retries=-1):
|
|
bridge_p = Process(target=self.bridge_keep_alive, args=(queue, retries), daemon=True)
|
|
bridge_p.start()
|
|
return bridge_p
|
|
|
|
|
|
if __name__ == "__main__":
|
|
q: Any = Queue()
|
|
args = parse_args()
|
|
|
|
try:
|
|
carla_bridge = CarlaBridge(args)
|
|
p = carla_bridge.run(q)
|
|
|
|
if args.joystick:
|
|
# start input poll for joystick
|
|
from tools.sim.lib.manual_ctrl import wheel_poll_thread
|
|
|
|
wheel_poll_thread(q)
|
|
else:
|
|
# start input poll for keyboard
|
|
from tools.sim.lib.keyboard_ctrl import keyboard_poll_thread
|
|
|
|
keyboard_poll_thread(q)
|
|
p.join()
|
|
|
|
finally:
|
|
# Try cleaning up the wide camera param
|
|
# in case users want to use replay after
|
|
Params().remove("WideCameraOnly")
|
|
|