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Recognize for Nextcloud
Image recognition for Nextcloud
This app goes through your photo collection and adds fitting tags, automatically categorizing your photos. It also recognizes faces from photos set in your contacts. Tagging works via Nextcloud's Collaborative Tags. You can view your tagged photos with the photos app, as seen in the screenshot above.
This app does not send any sensitive data to cloud providers or similar services. All image processing is done on your nextcloud machine, using Tensorflow.js running in Node.js, which comes bundled with this app.
This is the list of recognized things and which categories they are currently mapped to. I'm happy to accept pull requests for this file to fine tune predictions.
Behind the scenes
Recognize uses face-api.js to extract and compare face features.
- php 7.3 and above
- App "collaborative tags" enabled
- x86 64bit
- probably ARMv7 (32bit) (untested)
- System with glibc (usually the norm; Alpine linux is not such a system)
- ~3GB of free RAM (if you're cutting it close, make sure you have some swap available)
Go to "Apps" in your nextcloud, search for "recognize" and click install.
Any configuration is done in Settings/Recognize of your Nextcloud instance.
You can also ignore directories (and their children) by adding a
.nomedia file in them.
cd /path/to/nextcloud/apps/ git clone https://github.com/marcelklehr/recognize.git cd recognize make
If you'd like to support the creation and maintenance of this software, consider donating.
We always welcome contributions. Have an issue or an idea for a feature? Let us know. Additionally, we happily accept pull requests.
In order to make the process run more smoothly, you can make sure of the following things:
- Announce that you're working on a feature/bugfix in the relevant issue
- Make sure the tests are passing
- If you have any questions you can let the maintainers above know privately via email, or simply open an issue on github
Please read the Code of Conduct. This document offers some guidance to ensure Nextcloud participants can cooperate effectively in a positive and inspiring atmosphere, and to explain how together we can strengthen and support each other.
More information on how to contribute: https://nextcloud.com/contribute/
Happy hacking ❤️
This software is licensed under the terms of the AGPL written by the Free Software Foundation and available at COPYING.