Michael Mayer
parent
3d9cb51641
commit
6fb0eb2abe
13 changed files with 133 additions and 105 deletions
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@ -1,4 +1,4 @@
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FROM photoprism/develop:220301-bullseye
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FROM photoprism/develop:220302-bullseye
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## alternative base images
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# FROM photoprism/develop:buster # Debian 10, Codename "Buster"
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@ -107,8 +107,8 @@ services:
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PHOTOPRISM_OIDC_ISSUER_URL: "https://keycloak.localssl.dev/auth/realms/master"
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PHOTOPRISM_OIDC_CLIENT_ID: "photoprism-develop"
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PHOTOPRISM_OIDC_CLIENT_SECRET: "9d8351a0-ca01-4556-9c37-85eb634869b9"
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## Run/install on first startup (options: update, gpu, tensorflow, davfs, clean):
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# PHOTOPRISM_INIT: "update gpu tensorflow clean"
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## Run/install on first startup (options: update, gpu, tensorflow, davfs, nano, clean):
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# PHOTOPRISM_INIT: "gpu tensorflow"
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## Hardware video transcoding config (optional):
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# PHOTOPRISM_FFMPEG_BUFFERS: "64" # FFmpeg capture buffers (default: 32)
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# PHOTOPRISM_FFMPEG_BITRATE: "32" # FFmpeg encoding bitrate limit in Mbit/s (default: 50)
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@ -1,33 +1,40 @@
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# Running PhotoPrism on ARM64-based devices (64-bit)
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>> Running PhotoPrism on ARM64-based devices (64-bit) <<
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Our stable version and development preview have been built into a single multi-arch Docker image for 64-bit AMD, Intel,
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and ARM processors:
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Our stable version and development preview have been built into a single multi-arch Docker
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image for 64-bit AMD, Intel, and ARM processors (Apple Silicon, Raspberry Pi 4):
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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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Stable Release : photoprism/photoprism:latest
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Development Preview: photoprism/photoprism:preview
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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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In case the default multi-arch images cause problems, you can also use the following
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single-arch ARM64 images (updated and tested less frequently):
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Stable Release : photoprism/photoprism:arm64
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Development Preview: photoprism/photoprism:preview-arm64
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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
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as for regular Linux servers apply:
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https://docs.photoprism.app/getting-started/docker-compose/
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Existing users are advised to check their "docker-compose.yml" against our examples at dl.photoprism.app/docker from
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time to time in case there are new configuration options or other improvements. Update instructions can be found at
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the bottom of this README file.
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Existing users are advised to check their "docker-compose.yml" against our examples at
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<dl.photoprism.app/docker> from time to time in case there are new configuration options
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or other improvements. Update instructions can be found at the bottom of this README file.
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Note that Raspberry Pi OS (Raspbian) is a 32-bit user-space Linux with a 64-bit kernel to remain compatible with older
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Raspberry software. This requires special configuration to run modern 64-bit applications and Docker images (see below).
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Note that Raspberry Pi OS (Raspbian) is a 32-bit user-space Linux with a 64-bit kernel to
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remain compatible with older Raspberry software. This requires special configuration to run
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modern 64-bit applications and Docker images (see below).
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If you do not have legacy software, we recommend choosing a standard 64-bit Linux distribution as it requires less
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experience:
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If you do not have legacy software, we recommend choosing a standard 64-bit Linux distribution
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as it requires less experience:
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- Raspberry Pi Debian: https://raspi.debian.net/
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- Ubuntu for Raspberry Pi: https://ubuntu.com/raspberry-pi
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- UbuntuDockerPi: https://github.com/guysoft/UbuntuDockerPi (64-bit Ubuntu Server with Docker pre-configured)
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- UbuntuDockerPi: https://github.com/guysoft/UbuntuDockerPi (Ubuntu incl. Docker pre-configured)
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Other distributions that target the same use case as Raspbian, such as CoreELEC, may have the same problems and
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should also not be used to run modern server applications.
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Other distributions that target the same use case as Raspbian, such as CoreELEC, may have
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the same problems and should also not be used to run modern server applications.
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### Raspberry Pi OS ###
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@ -48,68 +55,79 @@ It may also help to set the DOCKER_DEFAULT_PLATFORM environment variable to "lin
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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 system
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- While PhotoPrism has been reported to work on devices with less memory, we take no responsibility for instability or
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performance problems
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- While PhotoPrism has been reported to work on devices with less memory, we take no
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responsibility for instability or performance problems
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- RAW image conversion and TensorFlow are disabled on systems with 1 GB or less memory
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- Indexing large photo and video collections significantly benefits from local SSD storage and plenty of memory for
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caching, especially the conversion of RAW 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 set, this can cause unexpected
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restarts, for example, when the indexer temporarily needs more memory to process large files
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- High-resolution panoramic images may require additional swap space and/or physical memory above the recommended
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minimum
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- We recommend disabling kernel security in your docker-compose.yml, especially if you do not have experience with the
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configuration:
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- Indexing large photo and video collections significantly benefits from local SSD storage
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and plenty of memory for caching, especially the conversion of RAW images and the transcoding
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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 set, this can
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cause unexpected restarts, for example, when the indexer temporarily needs more memory to
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process large files
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- High-resolution panoramic images may require additional swap space and/or physical memory
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above the recommended minimum
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- We recommend disabling kernel security in your docker-compose.yml, especially if you do not
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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 run it behind a secure HTTPS reverse
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proxy such as Traefik or Caddy https://docs.photoprism.app/getting-started/proxies/traefik/
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- If you install PhotoPrism on a public server outside your home network,
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always 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 system resources are running low:
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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 small value in docker-compose.yml,
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depending on the performance of your device or cloud server:
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- Try reducing the number of workers by setting PHOTOPRISM_WORKERS to a
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reasonably small value in docker-compose.yml, depending on the performance
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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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- If you are using SQLite, switch to MariaDB, which is better optimized
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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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- 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 solve them:
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Other issues? Our troubleshooting checklists help you quickly diagnose
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and solve them:
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https://docs.photoprism.app/getting-started/troubleshooting/
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### Is a Raspberry Pi fast enough? ###
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This largely depends on your expectations and the number of files you have. Most users report that
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PhotoPrism runs smoothly on their Raspberry Pi 4. However, initial indexing typically takes much longer
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than on standard desktop computers.
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This largely depends on your expectations and the number of files you have.
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Most users report that PhotoPrism runs smoothly on their Raspberry Pi 4.
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However, initial indexing typically takes much longer than on standard
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desktop computers.
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Also keep in mind that the hardware has limited video transcoding capabilities, so the conversion of video
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file formats is not well-supported and software transcoding is generally slow.
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Also keep in mind that the hardware has limited video transcoding capabilities,
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so the conversion of video file formats is not well-supported and software
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transcoding is generally slow.
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### Getting Updates ###
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Open a terminal and change to the folder where the "docker-compose.yml" file was saved. Now run the
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following commands to download the most recent image from Docker Hub and restart your instance
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in the background:
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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=arm64 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 connection speed.
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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 automatically download
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new images.
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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 [build](https://github.com/photoprism/photoprism/issues/109)
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a Raspberry Pi version!
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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!
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|
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@ -46,9 +46,8 @@ version: '3.5'
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services:
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photoprism:
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## photoprism/photoprism-arm64 has been replaced by a single multi-arch image for AMD64 and ARM64 (64-bit).
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## Use photoprism/photoprism:preview for testing preview builds or :latest for the stable release:
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image: photoprism/photoprism:latest
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## Use photoprism/photoprism:preview-arm64 for testing preview builds:
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image: photoprism/photoprism:arm64
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depends_on:
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- mariadb
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## Don't enable automatic restarts until PhotoPrism has been properly configured and tested!
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@ -1,6 +1,7 @@
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# Running PhotoPrism on ARMv7-based devices (32-bit)
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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 on ARMv7-based devices:
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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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@ -10,56 +11,65 @@ 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 compatible.
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Always choose the regular 64-bit version if your device supports it.
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Note that Darktable is not included in the ARMv7 image because it is not
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32-bit compatible. Always choose the regular 64-bit version if your device
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supports it.
|
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|
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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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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 at dl.photoprism.app/docker from
|
||||
time to time in case there are new configuration options or other improvements. Update instructions can be found at
|
||||
Existing users are advised to check their "docker-compose.yml" against our
|
||||
examples at <dl.photoprism.app/docker> 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.
|
||||
|
||||
### System Requirements ###
|
||||
|
||||
- Your device should have at least 3 GB of physical memory and a 64-bit operating system (always use our ARM64 image
|
||||
if possible)
|
||||
- While PhotoPrism has been reported to work on devices with less memory, we take no responsibility for instability or
|
||||
performance problems
|
||||
- Your device should have at least 3 GB of physical memory and a 64-bit operating
|
||||
system (always use our ARM64 image if possible)
|
||||
- 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:
|
||||
- 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/
|
||||
- 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:
|
||||
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:
|
||||
- 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
|
||||
- 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 facial recognition
|
||||
- As a last measure, you can disable the use of TensorFlow for image classification
|
||||
and facial recognition
|
||||
|
||||
Other issues? Our troubleshooting checklists help you quickly diagnose and solve them:
|
||||
|
||||
|
|
@ -67,20 +77,21 @@ Other issues? Our troubleshooting checklists help you quickly diagnose and solve
|
|||
|
||||
### 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:
|
||||
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=arm photoprism
|
||||
docker-compose stop photoprism
|
||||
docker-compose up -d photoprism
|
||||
|
||||
Pulling a new version can take several minutes, depending on your internet connection speed.
|
||||
Pulling a new version can take several minutes, depending on your internet
|
||||
connection speed.
|
||||
|
||||
Note that running an image with ":latest" tag does not cause Docker to automatically download
|
||||
new images.
|
||||
Note that running an image with ":latest" tag does not cause Docker to automatically
|
||||
download new images.
|
||||
|
||||
### Credits ###
|
||||
|
||||
A big thank you to [Guy Sheffer](https://github.com/guysoft) for helping us [build](https://github.com/photoprism/photoprism/issues/109)
|
||||
a Raspberry Pi version!
|
||||
A big thank you to Guy Sheffer (https://github.com/guysoft) for helping us
|
||||
build a Raspberry Pi version!
|
||||
|
|
@ -41,7 +41,7 @@ version: '3.5'
|
|||
|
||||
services:
|
||||
photoprism:
|
||||
## Special Docker image for running PhotoPrism on ARMv7-based devices and those with a 32-bit operating system:
|
||||
## Use photoprism/photoprism:preview-armv7 for testing preview builds:
|
||||
image: photoprism/photoprism:armv7
|
||||
depends_on:
|
||||
- mariadb
|
||||
|
|
|
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|
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@ -79,8 +79,8 @@ services:
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PHOTOPRISM_SITE_CAPTION: "AI-Powered Photos App"
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PHOTOPRISM_SITE_DESCRIPTION: ""
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PHOTOPRISM_SITE_AUTHOR: ""
|
||||
## Run/install on first startup (options: update, gpu, tensorflow, davfs, clean):
|
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# PHOTOPRISM_INIT: "update gpu tensorflow clean"
|
||||
## Run/install on first startup (options: update, gpu, tensorflow, davfs, nano, clean):
|
||||
# PHOTOPRISM_INIT: "gpu tensorflow"
|
||||
## Hardware video transcoding config (optional)
|
||||
# PHOTOPRISM_FFMPEG_BUFFERS: "64" # FFmpeg capture buffers (default: 32)
|
||||
# PHOTOPRISM_FFMPEG_BITRATE: "32" # FFmpeg encoding bitrate limit in Mbit/s (default: 50)
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|
|
|
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|
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@ -75,8 +75,8 @@ services:
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PHOTOPRISM_SITE_CAPTION: "AI-Powered Photos App"
|
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PHOTOPRISM_SITE_DESCRIPTION: ""
|
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PHOTOPRISM_SITE_AUTHOR: ""
|
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## Run/install on first startup (options: update, gpu, tensorflow, davfs, clean):
|
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# PHOTOPRISM_INIT: "update gpu tensorflow clean"
|
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## Run/install on first startup (options: update, gpu, tensorflow, davfs, nano, clean):
|
||||
# PHOTOPRISM_INIT: "gpu tensorflow"
|
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## Storage Folders: "~" is a shortcut for your home directory, "." for the current directory
|
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volumes:
|
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# "/host/folder:/photoprism/folder" # example
|
||||
|
|
|
|||
|
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@ -81,8 +81,8 @@ services:
|
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PHOTOPRISM_SITE_CAPTION: "AI-Powered Photos App"
|
||||
PHOTOPRISM_SITE_DESCRIPTION: ""
|
||||
PHOTOPRISM_SITE_AUTHOR: ""
|
||||
## Run/install on first startup (options: update, gpu, tensorflow, davfs, clean):
|
||||
# PHOTOPRISM_INIT: "update gpu tensorflow clean"
|
||||
## Run/install on first startup (options: update, gpu, tensorflow, davfs, nano, clean):
|
||||
# PHOTOPRISM_INIT: "gpu tensorflow"
|
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## Run as a specific user, group, or with a custom umask (does not work together with "user:")
|
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# PHOTOPRISM_UID: 1000
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# PHOTOPRISM_GID: 1000
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|
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|
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|
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@ -74,8 +74,8 @@ services:
|
|||
PHOTOPRISM_SITE_CAPTION: "AI-Powered Photos App"
|
||||
PHOTOPRISM_SITE_DESCRIPTION: ""
|
||||
PHOTOPRISM_SITE_AUTHOR: ""
|
||||
## Run/install on first startup (options: update, gpu, tensorflow, davfs, clean):
|
||||
# PHOTOPRISM_INIT: "update gpu tensorflow clean"
|
||||
## Run/install on first startup (options: update, gpu, tensorflow, davfs, nano, clean):
|
||||
# PHOTOPRISM_INIT: "gpu tensorflow"
|
||||
## Run as a specific user, group, or with a custom umask (does not work together with "user:")
|
||||
# PHOTOPRISM_UID: 1000
|
||||
# PHOTOPRISM_GID: 1000
|
||||
|
|
|
|||
|
|
@ -31,7 +31,7 @@ fi
|
|||
|
||||
# build binary
|
||||
echo "=> compiling \"$BUILD_NAME\" with \"${GO_VER^}\""
|
||||
echo "=> command: ${BUILD_CMD[*]}"
|
||||
echo "=> ${BUILD_CMD[*]}"
|
||||
"${BUILD_CMD[@]}"
|
||||
|
||||
# show size
|
||||
|
|
|
|||
8
scripts/dist/Makefile
vendored
8
scripts/dist/Makefile
vendored
|
|
@ -16,16 +16,16 @@ clean:
|
|||
apt-get -y autoremove
|
||||
apt-get -y autoclean
|
||||
rm -rf /var/lib/apt/lists/*
|
||||
nano:
|
||||
apt-get update
|
||||
apt-get -qq install nano
|
||||
gpu:
|
||||
./install-gpu.sh
|
||||
tensorflow:
|
||||
./install-tensorflow.sh auto
|
||||
davfs:
|
||||
./install-davfs.sh
|
||||
nano:
|
||||
apt-get update
|
||||
apt-get -qq install nano
|
||||
|
||||
.PHONY: update apt-upgrade clean apt-cleanup nano gpu tensorflow davfs \
|
||||
.PHONY: update apt-upgrade clean apt-cleanup gpu tensorflow davfs nano \
|
||||
tensorflow-amd64-cpu tensorflow-amd64-avx tensorflow-amd64-avx2 \
|
||||
intel-graphics install-intel-graphics install-davfs;
|
||||
|
|
|
|||
2
scripts/dist/install-gpu.sh
vendored
2
scripts/dist/install-gpu.sh
vendored
|
|
@ -33,7 +33,7 @@ for t in ${GPU_DETECTED[@]}; do
|
|||
;;
|
||||
|
||||
nvidia)
|
||||
apt-get -qq install nvidia-vdpau-driver nvidia-driver-libs nvidia-kernel-dkms libva2 vainfo libva-wayland2
|
||||
apt-get -qq install nvidia-opencl-icd nvidia-vdpau-driver nvidia-driver-libs nvidia-kernel-dkms libva2 vainfo libva-wayland2
|
||||
;;
|
||||
|
||||
*)
|
||||
|
|
|
|||
Loading…
Reference in a new issue