Image board engine, Danbooru-style.
efe217344d
- [overview] add camera attribute to posts. parsing is done in
`func/metadata.py` and takes any of the available tags corresponding
to "make" and "model" properties and concatenates them into a string
- [server] improved `func/metadata.py`:
- added camera resolve functions for photos and videos
- moved ffmpeg subprocess and exif image opening to separate function
- optionally reuse existing collection of extracted tags in any of the
functions
- iterative approach to checking for tags' existence as opposed to
imperative
- (somewhat) better error handling
- [server] created alembic migration in `adb2acef2492_add_camera.py`
- not only adds columns, but also scans files and updates their camera
string
- [server] added camera attribute functionality and improved error
handling in `func/posts.py`
- [server] add camera attribute to `model/post.py`
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|---|---|---|
| .github/workflows | ||
| client | ||
| doc | ||
| server | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| docker-compose.yml | ||
| LICENSE.md | ||
| README.md | ||
szurubooru
Szurubooru is an image board engine inspired by services such as Danbooru, Gelbooru and Moebooru dedicated for small and medium communities. Its name has its roots in Polish language and has onomatopeic meaning of scraping or scrubbing. It is pronounced as shoorubooru.
Features
- Post content: images (JPG, PNG, GIF, animated GIF), videos (MP4, WEBM), Flash animations
- Ability to retrieve web video content using youtube-dl
- Post comments
- Post notes / annotations, including arbitrary polygons
- Rich JSON REST API (see documentation)
- Token based authentication for clients
- Rich search system
- Rich privilege system
- Autocomplete in search and while editing tags
- Tag categories
- Tag suggestions
- Tag implications (adding a tag automatically adds another)
- Tag aliases
- Pools and pool categories
- Duplicate detection
- Post rating and favoriting; comment rating
- Polished UI
- Browser configurable endless paging
- Browser configurable backdrop grid for transparent images
Installation
It is recommended that you use Docker for deployment. See installation instructions.
More installation resources, as well as related projects can be found on the GitHub project Wiki
Screenshots
Post list:
Post view:
