radiation-tagger/rad_tag.py
Commander1024 693412316e Added write_exif function, calculates location in degree / minutes.
Assembles metadata info and writes them to the target_image.
2020-03-12 23:25:18 +01:00

102 lines
3.8 KiB
Python
Executable File

#!/usr/bin/env python
# -*- coding: utf-8 -*-
''' Iterates over a bunch of .jpg or .cr2 files and matches
DateTimeOriginal from Exif tag to DateTime in a csv log
of a GeigerMuellerCounter and writes its value to the UserComment
Exif tag in µS/h '''
import csv
import argparse
import pytz
import gpxpy
from functions import Radiation, Photo, Exif
# SIFACTOR for GQ Geiger counters
# 300 series: 0.0065 µSv/h / CPM
# 320 series: 0.0065 µSv/h / CPM
# 500 series: 0.0065 µSv/h / CPM
# 500+ series: 0.0065 µSv/h / CPM for the first tube
# 600 series: 0.0065 µSv/h / CPM
# 600+ series: 0.002637 µSv/h / CPM
# Configure argument parser for cli options
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter,
description='''A unix-tyle tool that
extracts GPS and/or radiation data from GPX/CSV files and writes
them into the Exif tags of given photos.''')
parser.add_argument('-si', '--sifactor', type=float, default=0.0065,
help='Factor to multiply recorded CPM with.')
parser.add_argument('-tz', '--timezone', type=str, metavar='Timezone', default='utc',
help='''Manually set timezone of CSV / and Photo timestamp,
defaults to UTC if omitted. This is useful, if the GPS-Logger
saves the time incl. timezone''')
parser.add_argument('-d', '--dry', action='store_true',
help='Dry-run, do not actually write anything.')
parser.add_argument('csv', metavar='CSV', type=str,
help='Geiger counter history file in CSV format.')
parser.add_argument('-g', '--gpx', metavar='GPX', type=str,
help='GPS track in GPX format')
parser.add_argument('photos', metavar='Photo', type=str, nargs='+',
help='One or multiple photo image files to process.')
parser.add_argument('-o', '--outdir', type=str, default='.',
help='Directory to output processed photos.')
args = parser.parse_args()
# Create timezone datetime object
local_timezone = pytz.timezone(args.timezone)
# Initialize two empty lists for comparison
radiation_list = []
position_list = []
# Import GeigerCounter log
with open(args.csv, "r") as f:
csv = csv.reader(filter(lambda row: row[0] != '#', f),
delimiter=',', skipinitialspace=True)
for _, csv_raw_time, csv_raw_cpm, _ in csv:
radiation = Radiation(csv_raw_time, csv_raw_cpm, local_timezone, args.sifactor)
radiation_list.append(radiation)
# close CSV file
f.close()
# Import GPX track(s)
if args.gpx is not None:
gpx_file = open(args.gpx, 'r')
gpx_reader = gpxpy.parse(gpx_file)
for waypoint in gpx_reader.waypoints:
for track in gpx_reader.tracks:
for segment in track.segments:
for point in segment.points:
position = [point.time, point.latitude, point.longitude, point.elevation]
position_list.append(position)
# Inform the user about what is going to happen
if args.dry is True:
print('Not modifying anything. Just print what would happen without --dry')
else:
if args.outdir == ".":
print('Modifying photos in place (overwrite)')
else:
print('Modifying photos in', str(args.outdir), '(copy)')
for src_photo in args.photos:
photo = Photo(src_photo, local_timezone, args.outdir, args.dry)
print(photo.get_target_photo, photo.get_date)
# Here the matching magic has to happen
latitude = 51.0234024
longitude = 7.248347
radiation = 9001.15
elevation = 56.079345703125
# Write exif data
exif_tags = Exif(photo.get_target_photo, radiation, latitude, longitude, elevation, args.dry)
# Print table header
print('{:<15} {:<25} {:<22}'.format('filename', 'date / time', 'Exif UserComment'))