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I do some astrophotography, and it's a field where technique is very important.
However, I can never seem to remember all the settings...
So, I created this tool, EXIF_gallery, that allows me to store, analyze, and compare the data from my photos.
Built in PyQt5, I was able to explore SQL and HTML, as well as some more mathematical libraries.
Special thanks to Manon Seve for the logo and to Gabriel Akpo-Allavo, the best of spiritual guides.
It's not shown in the demo, but there are user-specific features such as inputting their own data or adding comments.
The goal in the future is to adapt EXIF_gallery for other types of photography.
Each photo can store more data than a conventional image:
- EXIFs
- comments
- processing versions
- location of the shot
- number of shots + exposure times
- total exposure time calculated automatically
- Bortle level
ID | Image | Subject | Description | Author | Camera | Focal length | Mount | Aperture | ISO | NB lights | Exposure time | Total time | Place | Sky darkness | Moon Illumination | Processed with | Brut | Versions | Date | Comment |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | - | M31 | some test | me | Canon70D | 135mm | SA2i | 2.8 | 1600 | 50 | 120 | - | here | 2 | 35% | Siril/Photoshop | - | - | 24/12/23 |
The script is written in Python 3.
From a console, run :
pip3 install PyQt5 pillow mysql-connector-python scipy cartopy geopy matplotlib
Run EXIF_gallery.exe
or main.py
.
# create database
db = Database()
# add image
data = {
"id" : 012345678
"name" : "image_name"
"path" : "path/file.png"
}
db.add(data)
# update image
db.update("name", 012345678, "new_name_value")
# get images
db.get_rows()