choices=['copter', 'drone'],
default="copter")
parser.add_argument('--drone',
help='drone type',
choices=['ar_drone', 'mock_drone'],
default="mock_drone")
parser.add_argument('--guard',
help='guard type',
choices=['copter', 'drone'])
args = parser.parse_args()
predictor = CopterSpeedPredictor(predictor_config)
if args.world == "copter":
world = CopterWorld(world_config)
else:
if args.drone == "ar_drone":
drone = ARDrone()
else:
drone = MockDrone()
world = DroneWorld(world_config, drone=drone)
if args.controller == "CLA":
controller = CopterCLAController(None)
elif args.controller == "CopterPID":
controller = CopterPIDController(None)
elif args.controller == "DronePID":
controller = DronePIDController(None)
elif args.controller == "unsupervised":
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Process some integers.')
parser.add_argument('init_y', type=int, help='starting y position')
parser.add_argument('target_y', type=int, help='target y position')
parser.add_argument('--log', help='path to log file')
parser.add_argument('--learn', action='store_const', const=True,
help='enable learning')
parser.add_argument('--controller',
help='controller type',
choices=['PID', 'CLA'],
default="PID")
args = parser.parse_args()
world = CopterWorld()
predictor = CopterSpeedPredictor(predictor_config)
if args.controller == "CLA":
controller = CopterCLAController(None)
else:
controller = CopterPIDController(None)
runner = Runner(runner_config,
world, predictor, controller,
learning_enabled=args.learn,
target_y=args.target_y)
runner.addLogger(ConsoleLogger(logger_config))
if args.log:
runner.addLogger(CsvLogger(logger_config, args.log))
parser = argparse.ArgumentParser(description='Process some integers.')
parser.add_argument('init_y', type=int, help='starting y position')
parser.add_argument('target_y', type=int, help='target y position')
parser.add_argument('--log', help='path to log file')
parser.add_argument('--learn',
action='store_const',
const=True,
help='enable learning')
parser.add_argument('--controller',
help='controller type',
choices=['PID', 'CLA'],
default="PID")
args = parser.parse_args()
world = CopterWorld()
predictor = CopterSpeedPredictor(predictor_config)
if args.controller == "CLA":
controller = CopterCLAController(None)
else:
controller = CopterPIDController(None)
runner = Runner(runner_config,
world,
predictor,
controller,
learning_enabled=args.learn,
target_y=args.target_y)
runner.addLogger(ConsoleLogger(logger_config))
choices=['copter', 'drone'],
default="copter")
parser.add_argument('--drone',
help='drone type',
choices=['ar_drone', 'mock_drone'],
default="mock_drone")
parser.add_argument('--guard',
help='guard type',
choices=['copter', 'drone'])
args = parser.parse_args()
predictor = CopterSpeedPredictor(predictor_config)
if args.world == "copter":
world = CopterWorld(world_config)
else:
if args.drone == "ar_drone":
drone = ARDrone()
else:
drone = MockDrone()
world = DroneWorld(world_config, drone=drone)
if args.controller == "CLA":
controller = CopterCLAController(None)
elif args.controller == "CopterPID":
controller = CopterPIDController(None)
elif args.controller == "DronePID":
controller = DronePIDController(None)
elif args.controller == "unsupervised":
