55 lines
2.8 KiB
Plaintext
55 lines
2.8 KiB
Plaintext
# Running PhotoPrism on an older Raspberry Pi or other ARMv7-based devices (32-bit)
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If your device meets the system requirements, mostly the same installation instructions as for regular Linux
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servers apply:
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https://docs.photoprism.org/getting-started/docker-compose/
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Pull from `photoprism/photoprism:armv7` for the stable release and `photoprism/photoprism:armv7-preview` for testing
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preview builds. Make sure to explicitly pull the most recent image from Docker Hub. Existing users are advised to
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update their `docker-compose.yml` config based on our example:
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https://dl.photoprism.org/docker/armv7/docker-compose.yml
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You also have to revert to an alternative image if they want to use MariaDB, for example:
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https://hub.docker.com/r/linuxserver/mariadb
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The [official image](https://hub.docker.com/_/mariadb) is available for AMD64 and ARM64 only.
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Pay close attention to changed directory and environment variable names.
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### System Requirements ###
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- Your device should have at least 4 GB of memory. Running PhotoPrism on a server with less than 4 GB of swap space
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or setting a memory/swap limit can cause unexpected restarts, especially when the indexer temporarily needs more
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memory to process large files.
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- If you see Docker errors related to "cgroups", it may help to add the following to `/boot/firmware/cmdline.txt`:
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```
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cgroup_enable=cpuset cgroup_enable=memory cgroup_memory=1
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```
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- We recommend disabling Linux kernel security in your `docker-compose.yml`, especially if you do not have experience
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with the configuration:
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```yaml
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photoprism:
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security_opt:
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- seccomp:unconfined
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- apparmor:unconfined
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```
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- If you install PhotoPrism on a public server outside your home network, please always run it behind a secure
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HTTPS reverse proxy such as Traefik, Caddy, or NGINX. Your files and passwords will otherwise be transmitted in
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clear text and can be intercepted by anyone, including your provider, hackers, and governments.
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!!! Note
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Indexing large photo and video collections significantly benefits from fast, local SSD storage,
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and plenty of memory for caching. Especially the conversion of RAW images and the transcoding of
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videos are very demanding.
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!!! Reducing System Load
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If you're running out of memory - or other system resources - while indexing, try reducing the
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[number of workers](https://docs.photoprism.org/getting-started/config-options/) by setting
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`PHOTOPRISM_WORKERS` to a reasonably small value in `docker-compose.yml` (depending on the performance of the server).
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As a measure of last resort, you may disable using TensorFlow for image classification and facial recognition.
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Big thank you to [Guy Sheffer](https://github.com/guysoft)
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for [building](https://github.com/photoprism/photoprism/issues/109) this!
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