multi_step_cov_estimator.py File Reference

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Namespaces
namespace	pr2_calibration_estimation::multi_step_cov_estimator
Functions
def	pr2_calibration_estimation::multi_step_cov_estimator::build_sensor_defs
def	pr2_calibration_estimation::multi_step_cov_estimator::check_file_permissions
def	pr2_calibration_estimation::multi_step_cov_estimator::load_calibration_steps
def	pr2_calibration_estimation::multi_step_cov_estimator::load_requested_sensors
def	pr2_calibration_estimation::multi_step_cov_estimator::usage
Variables
tuple	pr2_calibration_estimation::multi_step_cov_estimator::all_sensor_types = list(set([x['sensor_type'] for x in all_sensors_dict.values()]))
tuple	pr2_calibration_estimation::multi_step_cov_estimator::all_sensors_dict = build_sensor_defs(sensors_dump)
tuple	pr2_calibration_estimation::multi_step_cov_estimator::bag = rosbag.Bag(bag_filename)
tuple	pr2_calibration_estimation::multi_step_cov_estimator::bag_filename = rospy.myargv()
tuple	pr2_calibration_estimation::multi_step_cov_estimator::config = rospy.get_param(config_param_name)
string	pr2_calibration_estimation::multi_step_cov_estimator::config_param_name = "calibration_config"
tuple	pr2_calibration_estimation::multi_step_cov_estimator::count = sum(counts)
list	pr2_calibration_estimation::multi_step_cov_estimator::counts = [ len([s for s in ms.sensors if s.sensor_id == cur_sensor_id]) for ms in multisensors]
tuple	pr2_calibration_estimation::multi_step_cov_estimator::cov_x = matrix(J)
list	pr2_calibration_estimation::multi_step_cov_estimator::cur_sensor_ids = [cur_sensor['sensor_id'] for cur_sensor in cur_sensor_list]
tuple	pr2_calibration_estimation::multi_step_cov_estimator::cur_sensors = load_requested_sensors(all_sensors_dict, cur_step['sensors'])
tuple	pr2_calibration_estimation::multi_step_cov_estimator::free_dict = yaml.load(cur_step["free_params"])
tuple	pr2_calibration_estimation::multi_step_cov_estimator::ms = MultiSensor(cur_sensors)
int	pr2_calibration_estimation::multi_step_cov_estimator::msg_count = 0
list	pr2_calibration_estimation::multi_step_cov_estimator::multisensors = []
tuple	pr2_calibration_estimation::multi_step_cov_estimator::out_f = open(output_dir + "/" + cur_step["output_filename"] + ".yaml", 'w')
	pr2_calibration_estimation::multi_step_cov_estimator::output_dict = previous_system
string	pr2_calibration_estimation::multi_step_cov_estimator::output_dir = "."
list	pr2_calibration_estimation::multi_step_cov_estimator::output_filenames = []
	pr2_calibration_estimation::multi_step_cov_estimator::output_poses = previous_pose_guesses
tuple	pr2_calibration_estimation::multi_step_cov_estimator::permissions_valid = all(valid_list)
tuple	pr2_calibration_estimation::multi_step_cov_estimator::previous_pose_guesses = numpy.array(yaml.load(config['initial_poses']))
tuple	pr2_calibration_estimation::multi_step_cov_estimator::previous_system = yaml.load(config["initial_system"])
list	pr2_calibration_estimation::multi_step_cov_estimator::sensors_dump = [yaml.load(x) for x in config[sensors_name].values()]
string	pr2_calibration_estimation::multi_step_cov_estimator::sensors_name = "sensors"
tuple	pr2_calibration_estimation::multi_step_cov_estimator::step_list = load_calibration_steps(config["cal_steps"])
list	pr2_calibration_estimation::multi_step_cov_estimator::use_cov = cur_step['use_cov']
list	pr2_calibration_estimation::multi_step_cov_estimator::valid_list = [check_file_permissions(curfile) for curfile in output_filenames]