60 lines
3.1 KiB
Text
60 lines
3.1 KiB
Text
# Running PhotoPrism on Modern ARM64-based Devices (64-bit)
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Our stable version and development preview now come as a single multi-arch image for AMD64 and ARM64 (64-bit).
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Stable Release : photoprism/photoprism:latest
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Development Preview: photoprism/photoprism:preview
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MariaDB : arm64v8/mariadb:10.6
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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: https://docs.photoprism.org/getting-started/docker-compose/
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To ensure compatibility with 64-bit Docker images, your Raspberry Pi 3 / 4 must boot with the "arm_64bit=1"
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flag in its config.txt file (https://www.raspberrypi.org/documentation/installation/installing-images/README.md).
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An "exec format error" will occur otherwise.
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Alternatively, you can run your device with [UbuntuDockerPi](https://github.com/guysoft/UbuntuDockerPi).
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It's a 64-bit Ubuntu Server with Docker pre-configured.
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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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### Getting Updates ###
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If an old version is running on your device and doesn't update, you need to [explicitly pull](updates.md)
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the latest image from [Docker Hub](https://hub.docker.com/r/photoprism/photoprism). Assuming that `:latest`
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means new versions are automatically downloaded is a common mistake for users new to Docker.
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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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