72 lines
3.3 KiB
Text
72 lines
3.3 KiB
Text
# Running PhotoPrism on ARMv7-based devices (32-bit)
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You have to resort to alternative Docker images to run PhotoPrism and MariaDB on ARMv7-based devices
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and those with a 32-bit operating system:
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PhotoPrism: photoprism/photoprism:armv7
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MariaDB : linuxserver/mariadb:latest
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Darktable is not included in the ARMv7 version because it is not 32-bit compatible.
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Pay close attention to changed directory and environment variable names.
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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.app/getting-started/docker-compose/
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### System Requirements ###
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- Your device should have at least 3 GB of physical memory. While PhotoPrism has been reported to work on devices with
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less memory, we take no responsibility for instability or performance issues. RAW image conversion and TensorFlow are
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disabled on systems with 1 GB or less memory.
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- If less than 4 GB of swap space is configured or a manual memory/swap limit is set, this can cause unexpected restarts,
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for example, when the indexer temporarily needs more 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 or Caddy. 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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https://docs.photoprism.app/getting-started/proxies/traefik/
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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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### Troubleshooting ###
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If your server runs out of memory, the index is frequently locked, or other system resources are running low:
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- Try reducing the number of workers by setting PHOTOPRISM_WORKERS to a reasonably small value in docker-compose.yml,
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depending on the performance of your device or cloud server:
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https://docs.photoprism.app/getting-started/config-options/
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- If you are using SQLite, switch to MariaDB, which is better optimized for high concurrency
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- As a last measure, you can disable the use of TensorFlow for image classification and facial recognition
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Other issues? Our troubleshooting checklists help you quickly diagnose and solve them:
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https://docs.photoprism.app/getting-started/troubleshooting/
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### Getting Updates ###
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If an old version is running on your device and is not updated, you may need to explicitly
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pull the latest image from [Docker Hub](https://hub.docker.com/r/photoprism/photoprism).
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Note that the `:latest` image tag does not cause Docker to automatically download new images.
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### Credits ###
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A big thank you to [Guy Sheffer](https://github.com/guysoft) for helping us [build](https://github.com/photoprism/photoprism/issues/109)
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a Raspberry Pi version!
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