A tool that writes radiation levels (and optionally geocoordinates) to image files and extracts the infos from external sources.
.gitignore | ||
exif_rad.py | ||
Readme.md |
radiation tagger
exif_rad.py is a simple unix-style cross-platform Python 3 tool which can write certain tags to an image file.
It can scan a couple of images, extract their Exif-tags, and compare the DateTimeOriginal
with other sources.
By now it can parse a .his (CSV) file from a GeigerLog file export and calculate the radiation in µS/h using the factor in SIFACTOR
.
It then creates a UserComment
Exif tag with the actual measured radiation at the time the photo has been taken.
Dependencies
Right now it depends on the following Python 3 libraries:
- PIL (core library)
- datetime (core library)
- Image (core library)
- piexif
- gpxpy
Requirements
- GeigerCounter log file in csv format as it is being exported by the software GeigerLog. Such files look like this:
149654, 2020-02-27 05:12:42, 13.0, 0.0
- A bunch of images (jpg, cr2, etc.) with its time of creation stored in
DateTimeOriginal
- A gpx track
All sources are matched by their timestamp, so all sources have to be recorded during the same time.
Usage
to-do
future possibilities
- In the future it should also be able to do the same with a gpx-file to extract geolocations and to write them into the appropiate Exif-fields.
- It might get interactive help and command line argument processing.
- It might get a setup.py if I want to waste my time on it.
- I might want to get rid of the requirement to use a bloated GUI application to download the history data off the geigercounter. There must be a neat working command line tool.