#!/usr/bin/python ############################################################################### # Copyright 2017 The Apollo Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. ############################################################################### # Software License Agreement (BSD License) # # Copyright (C) 2012, Austin Robot Technology # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following # disclaimer in the documentation and/or other materials provided # with the distribution. # * Neither the name of Austin Robot Technology, Inc. nor the names # of its contributors may be used to endorse or promote products # derived from this software without specific prior written # permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS # FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE # COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, # BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN # ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. # # Revision $Id$ """ Generate YAML calibration file from Velodyne db.xml. The input data provided by the manufacturer are in degrees and centimeters. The YAML file uses radians and meters, following ROS standards [REP-0103]. """ from __future__ import print_function import math import optparse import os import sys from xml.etree import ElementTree import yaml # parse the command line usage = """usage: %prog infile.xml [outfile.yaml] Default output file is input file with .yaml suffix.""" parser = optparse.OptionParser(usage=usage) options, args = parser.parse_args() if len(args) < 1: parser.error('XML file name missing') sys.exit(9) xmlFile = args[0] if len(args) >= 2: yamlFile = args[1] else: yamlFile, ext = os.path.splitext(xmlFile) yamlFile += '.yaml' print('converting "' + xmlFile + '" to "' + yamlFile + '"') calibrationGood = True def xmlError(msg): 'handle XML calibration error' global calibrationGood calibrationGood = False print('gen_calibration.py: ' + msg) db = None try: db = ElementTree.parse(xmlFile) except IOError: xmlError('unable to read ' + xmlFile) except ElementTree.ParseError: xmlError('XML parse failed for ' + xmlFile) if not calibrationGood: sys.exit(2) # create a dictionary to hold all relevant calibration values calibration = {'num_lasers': 0, 'lasers': []} cm2meters = 0.01 # convert centimeters to meters def addLaserCalibration(laser_num, key, val): 'Define key and corresponding value for laser_num' global calibration if laser_num < len(calibration['lasers']): calibration['lasers'][laser_num][key] = val else: calibration['lasers'].append({key: val}) # add enabled flags num_enabled = 0 enabled_lasers = [] enabled = db.find('DB/enabled_') if enabled == None: print('no enabled tags found: assuming all 64 enabled') num_enabled = 64 enabled_lasers = [True for i in xrange(num_enabled)] else: index = 0 for el in enabled: if el.tag == 'item': this_enabled = int(el.text) != 0 enabled_lasers.append(this_enabled) index += 1 if this_enabled: num_enabled += 1 calibration['num_lasers'] = num_enabled print(str(num_enabled) + ' lasers') # add minimum laser intensities minIntensities = db.find('DB/minIntensity_') if minIntensities != None: index = 0 for el in minIntensities: if el.tag == 'item': if enabled_lasers[index]: value = int(el.text) if value != 256: addLaserCalibration(index, 'min_intensity', value) index += 1 # add maximum laser intensities maxIntensities = db.find('DB/maxIntensity_') if maxIntensities != None: index = 0 for el in maxIntensities: if el.tag == 'item': if enabled_lasers[index]: value = int(el.text) if value != 256: addLaserCalibration(index, 'max_intensity', value) index += 1 # add calibration information for each laser for el in db.find('DB/points_'): if el.tag == 'item': for px in el: for field in px: if field.tag == 'id_': index = int(field.text) if not enabled_lasers[index]: break # skip this laser, it is not enabled addLaserCalibration(index, 'laser_id', index) if field.tag == 'rotCorrection_': addLaserCalibration(index, 'rot_correction', math.radians(float(field.text))) elif field.tag == 'vertCorrection_': addLaserCalibration(index, 'vert_correction', math.radians(float(field.text))) elif field.tag == 'distCorrection_': addLaserCalibration(index, 'dist_correction', float(field.text) * cm2meters) elif field.tag == 'distCorrectionX_': addLaserCalibration(index, 'dist_correction_x', float(field.text) * cm2meters) elif field.tag == 'distCorrectionY_': addLaserCalibration(index, 'dist_correction_y', float(field.text) * cm2meters) elif field.tag == 'vertOffsetCorrection_': addLaserCalibration(index, 'vert_offset_correction', float(field.text) * cm2meters) elif field.tag == 'horizOffsetCorrection_': addLaserCalibration(index, 'horiz_offset_correction', float(field.text) * cm2meters) elif field.tag == 'focalDistance_': addLaserCalibration(index, 'focal_distance', float(field.text) * cm2meters) elif field.tag == 'focalSlope_': addLaserCalibration(index, 'focal_slope', float(field.text)) # validate input data if calibration['num_lasers'] <= 0: xmlError('no lasers defined') elif calibration['num_lasers'] != num_enabled: xmlError('inconsistent number of lasers defined') # TODO: make sure all required fields are present. # (Which ones are required?) if calibrationGood: # write calibration data to YAML file f = open(yamlFile, 'w') try: yaml.dump(calibration, f) finally: f.close()