radiation-tagger/exif_rad.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 tag to DateTime in a csv log
of a GeigerMuellerCounter and writes its value to the UserComment
Exif tag in µS/h"""
from datetime import datetime
import os
import shutil
import csv
import argparse
import pyexiv2
import gpxpy
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# 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.')
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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()
# Inform the user about what is going to happen
if args.outdir == ".":
print('Modifying photos in place (overwrite)')
else:
print('Modifying photos in', str(args.outdir), '(copy)')
# Print table header
print('{:<15} {:<20} {:<22}'.format('filename', 'date / time', 'Exif UserComment'))
for srcphoto in args.photos:
# Get image file name out of path
photo_basename = os.path.basename(srcphoto)
# Decide whether to modify photo in place or to copy it to outdir first
# Then set the destination file as 'photo' to work on
if args.outdir == ".":
photo = srcphoto
else:
# be os aware and use the correct directory delimiter for destfile
dstphoto = os.path.join(args.outdir, photo_basename)
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if args.dry == 'True':
shutil.copy(srcphoto, dstphoto)
photo = dstphoto
else:
photo = srcphoto
# Load Exif data from image
metadata = pyexiv2.ImageMetadata(photo)
metadata.read()
tag = metadata['Exif.Photo.DateTimeOriginal']
# tag.value creates datetime object in pictime
pictime = tag.value
# Import GeigerCounter log
with open(args.csv, "r") as f:
csvreader = csv.reader(filter(lambda row: row[0] != '#', f),
delimiter=',', skipinitialspace=True)
for _, csvrawtime, csvrawcpm, _ in csvreader:
csvtime = datetime.fromisoformat(csvrawtime)
# Process image if its timestamp is found in CSV log (compares 2 datetime objects)
if csvtime == pictime:
rad = round(float(csvrawcpm) * args.sifactor, 2)
# Set key, value for new UserComment
key = 'Exif.Photo.UserComment'
new_comment = 'Radiation ☢ ' + str(rad) + ' µS/h'
metadata[key] = pyexiv2.ExifTag(key, new_comment)
# print found radiation levels
print('{:<15} {:<20} {:<22}'.format(photo_basename, str(pictime), new_comment))
# Write Exif tags to file
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if args.dry == 'True':
metadata.write()
break
else:
print('{:<15} {:<20} {:<22}'.format(photo_basename, str(pictime), 'NOT FOUND!'))
# close CSV file
f.close()
# Import GPX track(s)
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if args.gpx is not None:
gpx_file = open(args.gpx, 'r')
gpxreader = gpxpy.parse(gpx_file)
for waypoint in gpxreader.waypoints:
for track in gpxreader.tracks:
for segment in track.segments:
for point in segment.points:
#if pictime == point.time:
print(type(point.time))
print(type(pictime))
print(pictime, 'vs.', point.time)
# print('Point at ({0},{1}) -> {2}'.format(point.latitude, point.longitude, point.time))
'''<class 'datetime.datetime'>
2018-08-04 17:50:16 vs. 2018-08-04 17:50:03.535000+00:00
<class 'datetime.datetime'>
2018-08-04 17:50:16 vs. 2018-08-04 17:50:23.327000+00:00'''