radiation-tagger/rad_tag.py

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
''' Iterates over a bunch of .jpg or .cr2 files and matches
DateTimeOriginal from Exif tags to DateTime in a csv log
of a GeigerMuellerCounter and writes its value to Exif/ITPC/XMP tags in µS/h '''
import csv
import argparse
import pytz
import gpxpy
from functions import Radiation, Photo, Match, Exif, Output
# 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/ITPC/XMP 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 all radiation / gps values
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)
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# Import only relevant values, that's timestamp and CP/M
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)print
if args.gpx:
gpx_file = open(args.gpx, 'r')
gpx_reader = gpxpy.parse(gpx_file)
for track in gpx_reader.tracks:
for segment in track.segments:
for point in segment.points:
point_aware_time = point.time.astimezone(local_timezone)
position = (point_aware_time, point.latitude, point.longitude,
point.elevation)
position_list.append(position)
# Inform the user about what is going to happen
if args.dry:
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)')
# Print table header
print('{:<15} {:<25} {:<22}'.format('filename', 'date / time', 'Matched Data'))
for src_photo in args.photos:
# Instantiate photo, copy it to destdir if needed and receive filename to work on
photo = Photo(src_photo, local_timezone, args.outdir, args.dry)
# Here the matching magic takes place
match = Match(photo.get_date, radiation_list, position_list)
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# Formatted output:
data = Output(match.radiation_value, match.position_latitude,
match.position_longitude, match.position_altitude)
print('{:<15} {:<25} {:<22}'.format(photo.get_photo_basename, str(photo.get_date), str(data)))
# Write exif data
Exif(photo.get_photo_filename, args.dry, match.radiation_value,
match.position_latitude, match.position_longitude, match.position_altitude)