PhotoPrism VS facerecognition

I have been using https://www.photoprism.app for a couple of years, and it works better than expected, with the latest updates it's actually quite fast and the face tagging works reasonably well.

For self-hosting, there's Photoprism[1] as well.

Ente's strength lies in end-to-end encryption[2] and its cloud[3] offering so you don't have to worry about reliability.

So if self-hosting is what you're after, Immich, Photoprism and Damselfly (TIL!) are perhaps better designed to serve your needs.

[1]: https://github.com/photoprism/photoprism

[2]: https://ente.io/architecture

[3]: https://ente.io/reliability

For quite a while I'm also in search for a solution which allows me to share galleries with my family, without having to ask them to jump through hoops in order to access them.

After some searching I'm now testing photoprism [1] which is a fantastic application, especially for self-hosting of photos. There's no mobile app for it (yet) and user-management is just starting to get implemented, but it shows alot of promise. Unfortunately not yet enough for putting it on the tablet of my granny but one can hope (and donate!)

Either way, I'm afraid that building a good mobile gallery app is an equally large task, after all the best solution would be to replace the users' native gallery-app with an equivalent that also supports custom Online-Galleries...

[1]: https://www.photoprism.app/

out of curiosity, why no sort-of-established pkg and internal dirs? What do you think of https://github.com/photoprism/photoprism structure?

Thank you!

Ente was first a piece of hardware, then a self-host-able project, but we had a hard time monetizing both, which lead to the E2EE pivot.

TIL about TagSpaces, thanks!

Our server can be open-sourced, but we're unsure of the value E2EE will provide, with services like Photoprism[1] and Immich[2] already doing a good job of serving customers who prefer to self host. In this context E2EE might become a constraint, rather than a feature.

[1]: https://github.com/photoprism/photoprism

[2]: https://github.com/immich-app/immich

Ive seen github issues like this one https://github.com/photoprism/photoprism/issues/907 in which it is implied that this is very very difficult.

Hi. I want to implement an image server similar to Photoprism using ImageAI to tag images based on objects and context. However I don't want to spend to much time working on the frontend, at first I were thinking about using Danbooru and use Flexbooru or the web interface on my phone. But it doesn't have any encryption or password protection (since the purpose of it is to be used as a public image board).

https://www.photoprism.app in Docker.

PhotoPrism[0] and some ugly plumbing[1] to semantically tag all images in the gallery.

0: https://github.com/photoprism/photoprism

Face Recognition Is much more accurate for me. You can see some results of comperresion: https://github.com/matiasdelellis/facerecognition/wiki/Face-Recognition-vs-Recognize

occ face:background_job 1/10 - Executing task CheckRequirementsTask (Check all requirements) Seems that still don't configured the image area used for temporary files. Please read the documentation about this: https://github.com/matiasdelellis/facerecognition/wiki/Settings#temporary-files and then configure it in the admin panel to continue Fill an issue here if that doesn't help: https://github.com/matiasdelellis/facerecognition/issues Task CheckRequirementsTask signalled we should not continue, bailing out

I am aware of a basic face recognition app (https://github.com/matiasdelellis/facerecognition)

I added a cron so it runs every 15 minutes, just like the docs says - https://github.com/matiasdelellis/facerecognition#test-the-application - https://github.com/matiasdelellis/facerecognition/wiki/Schedule-Background-Task

"Nextcloud app that implement a basic facial recognition system" This nextcloud app might do what you want. I didn't try it out yet, so I don't know how well it works.

It seems the only reason they don't suggest a Pi is because it doesn't have a dedicated GPU, and low memory. https://github.com/matiasdelellis/facerecognition/wiki/Requirements-and-Limitations. This page was last updated in February of 2019, before the Pi 4 was released. Other than that, I don't really see anything that would require an x86 processor.