>> Running PhotoPrism on ARM64-based devices (64-bit) << Our stable version and development preview have been built into a single multi-arch Docker image for 64-bit AMD, Intel, and ARM processors (Apple Silicon, Raspberry Pi 4): Stable Release : photoprism/photoprism:latest Development Preview: photoprism/photoprism:preview In case the default multi-arch images cause problems, you can also use the following single-arch ARM64 images (updated and tested less frequently): Stable Release : photoprism/photoprism:arm64 Development Preview: photoprism/photoprism:preview-arm64 MariaDB : arm64v8/mariadb:10.11 If your device meets the system requirements, mostly the same installation instructions as for regular Linux servers apply: https://docs.photoprism.app/getting-started/docker-compose/ Existing users are advised to check their "docker-compose.yml" against our examples at from time to time in case there are new configuration options or other improvements. Update instructions can be found at the bottom of this README file. Note that Raspberry Pi OS (Raspbian) is a 32-bit user-space Linux with a 64-bit kernel to remain compatible with older Raspberry software. This requires special configuration to run modern 64-bit applications and Docker images (see below). If you do not have legacy software, we recommend choosing a standard 64-bit Linux distribution as it requires less experience: > Raspberry Pi Debian: https://raspi.debian.net/ > Ubuntu for Raspberry Pi: https://ubuntu.com/raspberry-pi > UbuntuDockerPi: https://github.com/guysoft/UbuntuDockerPi (Ubuntu incl. Docker pre-configured) Other distributions that target the same use case as Raspbian, such as CoreELEC, may have the same problems and should also not be used to run modern server applications. ### Raspberry Pi OS ### To ensure compatibility with 64-bit Docker images, your Raspberry Pi must boot with the "arm_64bit=1" flag in its "config.txt" file: https://www.raspberrypi.org/documentation/installation/installing-images/README.md An "exec format" error will occur otherwise. Try explicitly pulling the ARM64 version if you've booted your device with the "arm_64bit=1" flag and you see the "no matching manifest" error on Raspberry Pi OS (Raspbian): docker pull --platform=arm64 photoprism/photoprism:latest It may also help to set the DOCKER_DEFAULT_PLATFORM environment variable to "linux/arm64". ### System Requirements ### - Your device should have at least 3 GB of physical memory and a 64-bit operating system - While PhotoPrism has been reported to work on devices with less memory, we take no responsibility for instability or performance problems - RAW image conversion and TensorFlow are disabled on systems with 1 GB or less memory - Indexing large photo and video collections significantly benefits from local SSD storage and plenty of memory for caching, especially the conversion of RAW images and the transcoding of videos are very demanding - If less than 4 GB of swap space is configured or a manual memory/swap limit is set, this can cause unexpected restarts, for example, when the indexer temporarily needs more memory to process large files - High-resolution panoramic images may require additional swap space and/or physical memory above the recommended minimum - We recommend disabling kernel security in your docker-compose.yml, especially if you do not have experience with the configuration: ``` photoprism: security_opt: - seccomp:unconfined - apparmor:unconfined ``` - If you install PhotoPrism on a public server outside your home network, always run it behind a secure HTTPS reverse proxy such as Traefik or Caddy: https://docs.photoprism.app/getting-started/proxies/traefik/ ### Troubleshooting ### If your server runs out of memory, the index is frequently locked, or other system resources are running low: - Try reducing the number of workers by setting PHOTOPRISM_WORKERS to a reasonably small value in docker-compose.yml, depending on the performance of your device or cloud server: https://docs.photoprism.app/getting-started/config-options/ - If you are using SQLite, switch to MariaDB, which is better optimized for high concurrency - As a last measure, you can disable the use of TensorFlow for image classification and face recognition Other issues? Our troubleshooting checklists help you quickly diagnose and solve them: https://docs.photoprism.app/getting-started/troubleshooting/ ### Is a Raspberry Pi fast enough? ### This largely depends on your expectations and the number of files you have. Most users report that PhotoPrism runs smoothly on their Raspberry Pi 4. However, initial indexing typically takes much longer than on standard desktop computers. Also keep in mind that the hardware has limited video transcoding capabilities, so the conversion of video file formats is not well-supported and software transcoding is generally slow. ### Getting Updates ### Open a terminal and change to the folder where the "docker-compose.yml" file was saved. Now run the following commands to download the most recent image from Docker Hub and restart your instance in the background: docker compose pull --platform=arm64 photoprism docker compose stop photoprism docker compose up -d photoprism Pulling a new version can take several minutes, depending on your internet connection speed. Even when you use an image with the ":latest" tag, Docker does not automatically download new images for you. You can either manually upgrade as shown above, or set up a service like Watchtower to get automatic updates: https://docs.photoprism.app/getting-started/updates/#watchtower ### Credits ### A big thank you to Guy Sheffer (https://github.com/guysoft) for helping us build a Raspberry Pi version!