99 lines
3.8 KiB
Plaintext
99 lines
3.8 KiB
Plaintext
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>> Running PhotoPrism on ARMv7-based devices (32-bit) <<
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You may use the following 32-bit Docker images to run PhotoPrism and MariaDB
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on ARMv7-based devices:
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Stable Release : photoprism/photoprism:armv7
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Development Preview: photoprism/photoprism:preview-armv7
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MariaDB : linuxserver/mariadb:latest
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Docker Hub URL:
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https://hub.docker.com/r/photoprism/photoprism/tags?page=1&name=armv7
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Note that Darktable is not included in the ARMv7 image because it is not 32-bit
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compatible. Always choose the regular 64-bit version if your device supports it.
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If your device meets the system requirements, mostly the same installation
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instructions as for regular Linux servers apply:
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https://docs.photoprism.app/getting-started/docker-compose/
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Please pay close attention to changed directory and environment variable names!
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Existing users are advised to check their "docker-compose.yml" against our examples
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at <dl.photoprism.app/docker> from time to time in case there are new configuration
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options or other improvements. Update instructions can be found at the bottom of
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this README file.
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### System Requirements ###
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- Your device should have at least 3 GB of physical memory and a 64-bit operating
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system (always use our ARM64 image if possible)
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- While PhotoPrism has been reported to work on devices with less memory, we take
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no responsibility for instability or performance problems
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- RAW image conversion and TensorFlow are disabled on systems with 1 GB or
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less memory
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- Indexing large photo and video collections significantly benefits from local SSD
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storage and plenty of memory for caching, especially the conversion of RAW
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images and the transcoding of videos are very demanding
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- If less than 4 GB of swap space is configured or a manual memory/swap limit is
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set, this can cause unexpected restarts, for example, when the indexer
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temporarily needs more memory to process large files
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- High-resolution panoramic images may require additional swap space and/or
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physical memory above the recommended minimum
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- We recommend disabling kernel security in your docker-compose.yml, especially
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if you do not have experience with the configuration:
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```
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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, always
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run it behind a secure HTTPS reverse proxy such as Traefik or Caddy:
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https://docs.photoprism.app/getting-started/proxies/traefik/
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### Troubleshooting ###
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If your server runs out of memory, the index is frequently locked, or other
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system resources are running low:
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- Try reducing the number of workers by setting PHOTOPRISM_WORKERS to a reasonably
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small value in docker-compose.yml, depending on the performance of your device
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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
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high concurrency
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- As a last measure, you can disable the use of TensorFlow for image
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classification and facial recognition
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Other issues? Our troubleshooting checklists help you quickly diagnose and
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solve them:
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https://docs.photoprism.app/getting-started/troubleshooting/
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### Getting Updates ###
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Open a terminal and change to the folder where the "docker-compose.yml" file
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was saved. Now run the following commands to download the most recent image
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from Docker Hub and restart your instance in the background:
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docker-compose pull --platform=arm photoprism
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docker-compose stop photoprism
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docker-compose up -d photoprism
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Pulling a new version can take several minutes, depending on your internet
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connection speed.
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Note that running an image with ":latest" tag does not cause Docker to
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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
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build a Raspberry Pi version! |