@kekonyan okay, well, all I can say is that "it works on my machine". can you repro in a chroot? paru --chroot?
About exiftool, you can also configure that using PHOTOPRISM_EXIFTOOL_BIN (alternatively in options.yml).
| Git Clone URL: | https://aur.archlinux.org/photoprism.git (read-only, click to copy) |
|---|---|
| Package Base: | photoprism |
| Description: | AI-Powered Photos App for the Decentralized Web |
| Upstream URL: | https://github.com/photoprism/photoprism |
| Keywords: | ai cloud golang photography |
| Licenses: | AGPL-3.0-or-later |
| Submitter: | evine |
| Maintainer: | shtrophic |
| Last Packager: | shtrophic |
| Votes: | 3 |
| Popularity: | 0.000989 |
| First Submitted: | 2024-06-18 05:57 (UTC) |
| Last Updated: | 2026-07-29 16:46 (UTC) |
@kekonyan okay, well, all I can say is that "it works on my machine". can you repro in a chroot? paru --chroot?
About exiftool, you can also configure that using PHOTOPRISM_EXIFTOOL_BIN (alternatively in options.yml).
also photoprism by default cant find exiftool, because it's not on unit PATH, so I had to sudo ln -s /usr/bin/vendor_perl/exiftool /usr/local/bin/exiftool
or more likely i fucked up my installation trying to solve css styling issue
i think i'm going insane, but for whatever reason package started to produce incomplete css and i'm out of ideas how to fix it. node 26/22, complete nuking of all files, rebuilding clean million times - some styles still missing. public demo serves ~900kb css, my build serves ~700kb
upd: fixed by removing --prefix=frontend from pkgbuild
@sthropic seems like I was too slow and you solved it already! Your solution worked fine for me. Great job! For the sake of completeness: I used "photoprism faces reset --engine=pigo" or the environment variable "PHOTOPRISM_FACE_ENGINE=pigo".
Hi fellow photo-selfhosting enjoyers, were back with split packages for tensorflow (and now, also onnxruntime), since photoprism won't work with updated libraries from extra.
To upgrade to 260305-3:
Now everything should be in place for facedetection with onnx to run properly.
@aqua_rium care to share what you changed to make it work with pigo? I have had the issue with face detection as well but have not found the time to investigate...
@shtrophic Face Recognition does not work out of the box with your build as PHOTOPRISM_FACE_ENGINE=auto defaults to onnx instead of pigo. Setting it to the latter works, but the needed resources for onnx (=auto) are missing. I found no clue how to add them, do you have an idea?
@shtrophic Thank you! I didn't realize I needed to manually replace the config. It all works after removing the diff, specifically: 1a2
ModelsPath: /usr/share/photoprism 5a7 VisionYaml: /var/lib/photoprism/config/vision.yml
@deepsea22 please diff /etc/photoprism/defaults.yml{,.pacnew}
After updating to latest, photoprism throws this error on startup: ERRO[2025-12-03T15:20:05+01:00] config: invalid models path, check configuration and permissions What am I doing wrong? I have not customized anything but the storage path, which worked fine previously.
Pinned Comments
shtrophic commented on 2026-04-12 18:40 (UTC) (edited on 2026-04-12 18:42 (UTC) by shtrophic)
Hi fellow photo-selfhosting enjoyers, were back with split packages for tensorflow (and now, also onnxruntime), since photoprism won't work with updated libraries from extra.
To upgrade to 260305-3:
Now everything should be in place for facedetection with onnx to run properly.
evine commented on 2024-09-04 01:58 (UTC) (edited on 2024-09-24 04:22 (UTC) by evine)
Do not use nodejs 22.7.0/22.8.0 to make.