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from pyulog import ULog
import argparse
import pandas as pd
import csv
import convertULogToSensorData as util
path = "/home/kamil/Documents/QGroundControl/Logs/iris_vision.ulg"
output_path = "/home/kamil/Documents/QGroundControl/Logs/sensor_data_iris_vision.csv"
def get_arguments():
"""
parses the command line arguments
:return:
"""
parser = argparse.ArgumentParser(
description='Create a csv file with sensor data values in chronological order from a single'
'ulog file.')
parser.add_argument('input_file', metavar='file.ulg', help='ULog input file path')
parser.add_argument('output_file', metavar='file.ulg', help='csv output file path')
return parser.parse_args()
def main() -> None:
"""
main entry point
:return:
"""
args = get_arguments()
table = pd.DataFrame()
try:
ulog = ULog(args.input_file)
except:
print("Could not find ulog file")
exit(-1)
try:
imu = util.getImuData(ulog)
print("IMU data detected")
table = pd.concat([table, imu], ignore_index=True, sort=False)
except:
print("IMU data not detected")
try:
mag = util.getMagnetometerData(ulog)
print("Mag data detected")
table = pd.concat([table, mag], ignore_index=True, sort=False)
except:
print("Mag data not detected")
try:
baro = util.getBarometerData(ulog)
print("Baro data detected")
table = pd.concat([table, baro], ignore_index=True, sort=False)
except:
print("Baro data not detected")
try:
gps = util.getGpsData(ulog)
print("GPS data detected")
table = pd.concat([table, gps], ignore_index=True, sort=False)
except:
print("GPS data not detected")
try:
airspeed = util.getAirspeedData(ulog)
print("Airspeed data detected")
table = pd.concat([table, airspeed], ignore_index=True, sort=False)
except:
print("Airspeed data not detected")
try:
flow = util.getOpticalFlowData(ulog)
print("Flow data detected")
table = pd.concat([table, flow], ignore_index=True, sort=False)
except:
print("Flow data not detected")
try:
range = util.getRangeFinderData(ulog)
print("Range data detected")
table = pd.concat([table, range], ignore_index=True, sort=False)
except:
print("Range data not detected")
try:
vio = util.getVioData(ulog)
print("VIO data detected")
table = pd.concat([table, vio], ignore_index=True, sort=False)
except:
print("VIO data not detected")
try:
land = util.getVehicleLandingStatus(ulog)
print("Landing data detected")
table = pd.concat([table, land], ignore_index=True, sort=False)
except:
print("Landing data not detected")
table = table.sort_values('timestamp', axis=0, ascending=True)
table['timestamp'] = table['timestamp'] - table['timestamp'].iloc[0]
# remove the first 0.5 seconds of data to be robust against faulty initialized data
table = table[table.timestamp > 500000]
table.timestamp = table.timestamp - 500000
try:
table.to_csv(args.output_file, index=None, header=None)
# post processing remove empty cells from csv
result = []
with open(args.output_file, "r") as in_file:
reader = csv.reader(in_file)
result = [[item for item in row if item != ''] for row in reader]
with open(args.output_file, "w") as out_file:
csv_writer = csv.writer(out_file)
csv_writer.writerows(result)
except:
print("Could not write to specified output file")
if __name__ == '__main__':
main()