Added basic howto info - basically from Readme.md.

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# radiation-tagger
radiation-tagger is a tool that reads radiation levels (and optionally geocoordinates) from low-cost radiation-loggers and writes GPS/radiation metadata into Exif tags of image files. It uses CSV-exports from the awesome software [geigerlog](https://sourceforge.net/projects/Geigerlog/) which in turn can import the data from various sources.
radiation-tagger is a tool that reads radiation levels (and optionally geocoordinates) from low-cost radiation-loggers and writes GPS/radiation metadata into Exif tags of image files. It uses CSV-exports from the awesome software [geigerlog](https://sourceforge.net/projects/Geigerlog/) software which in turn can import the data from various sources.
It loosely follows the [unix philosophy](https://en.wikipedia.org/wiki/Unix_philosophy#Origin) - especially to do one specific job well. It is also a command-line utility and written in Python 3, and can easily be installed using pipenv.

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# How to use rad-tag
Depending on your photo-workflow you can tag your photos before or after processing. I described my workflow [here](https://www.commander1024.de/wordpress/2018/02/mein-foto-workflow/) (in German). It works on .jpg files as well as on camera raw files - if exiv2 supports that files.
When you start `rad-tag.py -h` you are prompted the quick help which shows all available mandatory and optional arguments:
```
usage: rad_tag.py [-h] [-si SIFACTOR] [-tz Timezone] [-d] [-g GPX] [-o OUTDIR]
CSV Photo [Photo ...]
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.
positional arguments:
CSV Geiger counter history file in CSV format.
Photo One or multiple photo image files to process.
optional arguments:
-h, --help show this help message and exit
-si SIFACTOR, --sifactor SIFACTOR
Factor to multiply recorded CPM with. (default:
0.0065)
-tz Timezone, --timezone Timezone
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 (default:
utc)
-d, --dry Dry-run, do not actually write anything. (default:
False)
-g GPX, --gpx GPX GPS track in GPX format (default: None)
-o OUTDIR, --outdir OUTDIR
Directory to output processed photos. (default: .)
```
### Examples
Use test.hisdb.his and walk.gpx from testdata and modify (overwrite) all .JPG files in place.
```
./rad_tag.py ./testdata/walk.hisdb.his --gpx .d/testdata/walk.gpx -tz Europe/Berlin ./testdest/*.JPG
Modifying photos in place (overwrite)
filename date / time Matched Data
_MG_3824.JPG 2020-03-15 16:17:54+01:00 ☢: 0.05µS/h Lat.: 51.92611112 Long.: 7.69379252 Alt.: 93.0m
_MG_3825.JPG 2020-03-15 16:18:12+01:00 ☢: 0.08µS/h Lat.: 51.92620192 Long.: 7.69360727 Alt.: 91.7m
_MG_3826.JPG 2020-03-15 16:18:12+01:00 ☢: 0.08µS/h Lat.: 51.92620192 Long.: 7.69360727 Alt.: 91.7m
_MG_3827.JPG 2020-03-15 16:18:12+01:00 ☢: 0.08µS/h Lat.: 51.92620192 Long.: 7.69360727 Alt.: 91.7m
```
Use test.hisdb.his in folder 'testdata', read all files from 'testsource' and write them to 'testdest'.
```
./rad_tag.py ./testdata/walk.hisdb.his -o ./testdest --gpx ./testdata/walk.gpx -tz Europe/Berlin ./testsource/*
Modifying photos in /home/mscholz/testdest (copy)
filename date / time Matched Data
DSC_0226.JPG 2020-03-15 15:02:04+01:00 ☢: N/A Lat.: N/A, Long.: N/A Alt.: N/A
DSC_0227.JPG 2020-03-15 15:11:43+01:00 ☢: N/A Lat.: N/A, Long.: N/A Alt.: N/A
_MG_3804.JPG 2020-03-15 15:59:11+01:00 ☢: 0.06µS/h Lat.: 51.92582544 Long.: 7.68739496 Alt.: 95.4m
_MG_3805.CR2 2020-03-15 16:01:49+01:00 ☢: 0.05µS/h Lat.: 51.92314108 Long.: 7.69078156 Alt.: 104.2m
_MG_3805.JPG 2020-03-15 16:01:49+01:00 ☢: 0.05µS/h Lat.: 51.92314108 Long.: 7.69078156 Alt.: 104.2m
_MG_3807.CR2 2020-03-15 16:07:02+01:00 ☢: 0.08µS/h Lat.: 51.9235013 Long.: 7.69250565 Alt.: 101.3m
_MG_3807.JPG 2020-03-15 16:07:02+01:00 ☢: 0.08µS/h Lat.: 51.9235013 Long.: 7.69250565 Alt.: 101.3m
```