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submitted 2 days ago* (last edited 11 hours ago) by petsoi@discuss.tchncs.de to c/linux@lemmy.ml

High performance self-hosted photo and video management solution

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[-] OminousOrange@lemmy.ca 4 points 1 day ago

The first big import will always take time if you have a lot of photos, as will the associated machine learning processing. I'd say you don't need a GPU like that for normal use though.

[-] utopiah@lemmy.ml 1 points 22 hours ago

Does it mean I would do the first import on desktop, including ML, then I could switch the resulting data (via e.g Docker) to a RPi5 if I get <100 new photos per day?

[-] OminousOrange@lemmy.ca 1 points 19 hours ago* (last edited 19 hours ago)

I'm not sure I understand. Whatever machine is hosting the Immich server will be doing all the processing. Uploading to there will go as fast as your internet connection/storage speed can go, and ML processing will be based on the processing power of the server. You can also manage the ML tasks if you want (Administration > Jobs and/or Settings).

[-] utopiah@lemmy.ml 3 points 11 hours ago

Whatever machine is hosting the Immich server will be doing all the processing

By default yes but it's possible to do remote ML, cf https://immich.app/docs/guides/remote-machine-learning so my "ideal" setup would be all on RPi5 BUT initial ML tasks (because it's going to be > 100GB of photos at first) either directly on my PC with GPU or remotely (cf guide).

[-] OminousOrange@lemmy.ca 1 points 4 hours ago

Ah, yes that'd probably be a good idea.

[-] Atemu@lemmy.ml 1 points 20 hours ago

You can also just do the initial import on a NAS. It might take a day perhaps but, honestly, does that matter?

this post was submitted on 08 Jan 2025
140 points (98.6% liked)

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