recognize
cloud-services-backup-cli
recognize | cloud-services-backup-cli | |
---|---|---|
14 | 1 | |
496 | 6 | |
2.2% | - | |
9.5 | 10.0 | |
7 days ago | almost 3 years ago | |
PHP | Shell | |
GNU Affero General Public License v3.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
recognize
-
I'm using AIO and can't get face recognition to work. Should I try another docker image?
If ARM, see if this is the same issue: https://github.com/nextcloud/recognize/issues/688
-
Need advice about running a photo server for family
Yes, you need to install the Recognize app (https://apps.nextcloud.com/apps/recognize)
- You are not permitted to delete this file
-
Nextcloud (in docker) cron issues with apps like Recognize
When you upload new photos, recognize should automatically schedule jobs to process them. You can check the ocjobs table in your database for recognize related entries and check oc_recognize*queue tables for files that have been queued for processing. Hope that helps. For more questions, feel free to create a discussion on the github repo: https://github.com/nextcloud/recognize
-
Tensorflow.js real world examples
I think this Nextcloud-App is using it: Recognize
-
How do I properly install Tensorflow on Ubuntu 22.04 with a Quadro P400 (Pascal)?
For context Im wanting to set it up to use with Recognize in Nextcloud.
-
Desktop app for facial recognition
I already use recognize in my home NAS. It works fine but it's a NextCloud app (it uses tensorflow through face-api.js). I want something portable and easy to use similar to Google Picasa.
-
Looking for a self hosted photo / video gallery with facial recognition
I haven't used them but there are a couple of plugins for NextCloud that do just that. Eg: https://apps.nextcloud.com/apps/recognize
-
Introducing a better photos experience on Android
No because doing that on your phone for each and every photo is a bit too much to me, but you should definitely try the server side Recognize app and/or the Face Recognition app! Face Recognition is supported natively in the app and Recognize is supported indirectly via tags.
-
Dad Took Photos of His Naked Toddler for Doctor Google Flagged Him as a Criminal
Sort of...not well. There is an app for NextCloud called Recognize [1].
It has gotten significantly better in the last year or so, but it's still pretty bad and pretty slow.
[1] https://apps.nextcloud.com/apps/recognize
cloud-services-backup-cli
-
Dad Took Photos of His Naked Toddler for Doctor Google Flagged Him as a Criminal
I'd be interested in automated backups/sync as well. Sounds like something like https://github.com/rtomac/cloud-services-backup-cli would do the trick...
What are some alternatives?
facerecognition - Nextcloud app that implement a basic facial recognition system.
recognize - 👁 👂 Smart media tagging for Nextcloud: recognizes faces, objects, landscapes, music genres [Moved to: https://github.com/nextcloud/recognize]
PhotoPrism - AI-Powered Photos App for the Decentralized Web 🌈💎✨
Piwigo - Manage your photos with Piwigo, a full featured open source photo gallery application for the web. Star us on Github! More than 200 plugins and themes available. Join us and contribute!
nc-photos
Nextcloud - ☁️ Nextcloud server, a safe home for all your data
face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
OSX-KVM - Run macOS on QEMU/KVM. With OpenCore + Monterey + Ventura + Sonoma support now! Only commercial (paid) support is available now to avoid spammy issues. No Mac system is required.
mediadc-docker-example - Nextcloud MediaDC docker configuration example
Lychee - A great looking and easy-to-use photo-management-system you can run on your server, to manage and share photos.