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add py-immich example
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‎testapps/py-immich/.env

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# You can find documentation for all the supported env variables at https://immich.app/docs/install/environment-variables
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# The location where your uploaded files are stored
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UPLOAD_LOCATION=./library
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# The location where your database files are stored
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DB_DATA_LOCATION=./postgres
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# To set a timezone, uncomment the next line and change Etc/UTC to a TZ identifier from this list: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List
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# TZ=Etc/UTC
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# The Immich version to use. You can pin this to a specific version like "v1.71.0"
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IMMICH_VERSION=release
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# Connection secret for postgres. You should change it to a random password
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# Please use only the characters `A-Za-z0-9`, without special characters or spaces
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DB_PASSWORD=postgres
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# The values below this line do not need to be changed
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###################################################################################
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DB_USERNAME=postgres
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DB_DATABASE_NAME=immich

‎testapps/py-immich/.gitignore

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library/
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postgres

‎testapps/py-immich/docker-compose.yml

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#
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# WARNING: Make sure to use the docker-compose.yml of the current release:
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#
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# https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
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#
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# The compose file on main may not be compatible with the latest release.
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#
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name: immich
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services:
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immich-server:
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container_name: immich_server
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image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
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# extends:
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# file: hwaccel.transcoding.yml
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# service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
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volumes:
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# Do not edit the next line. If you want to change the media storage location on your system, edit the value of UPLOAD_LOCATION in the .env file
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- ${UPLOAD_LOCATION}:/usr/src/app/upload
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- /etc/localtime:/etc/localtime:ro
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env_file:
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- .env
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ports:
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- '2283:2283'
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depends_on:
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- redis
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- database
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restart: always
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healthcheck:
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disable: false
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immich-machine-learning:
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container_name: immich_machine_learning
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# For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
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# Example tag: ${IMMICH_VERSION:-release}-cuda
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# image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
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build:
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dockerfile: immich_machine_learning.dockerfile
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context: .
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# extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
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# file: hwaccel.ml.yml
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# service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
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volumes:
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- model-cache:/cache
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env_file:
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- .env
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restart: always
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healthcheck:
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disable: false
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redis:
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container_name: immich_redis
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image: docker.io/redis:6.2-alpine@sha256:2ba50e1ac3a0ea17b736ce9db2b0a9f6f8b85d4c27d5f5accc6a416d8f42c6d5
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healthcheck:
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test: redis-cli ping || exit 1
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restart: always
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database:
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container_name: immich_postgres
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image: docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
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environment:
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POSTGRES_PASSWORD: ${DB_PASSWORD}
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POSTGRES_USER: ${DB_USERNAME}
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POSTGRES_DB: ${DB_DATABASE_NAME}
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POSTGRES_INITDB_ARGS: '--data-checksums'
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volumes:
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# Do not edit the next line. If you want to change the database storage location on your system, edit the value of DB_DATA_LOCATION in the .env file
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- ${DB_DATA_LOCATION}:/var/lib/postgresql/data
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healthcheck:
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test: pg_isready --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' || exit 1; Chksum="$$(psql --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' --tuples-only --no-align --command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')"; echo "checksum failure count is $$Chksum"; [ "$$Chksum" = '0' ] || exit 1
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interval: 5m
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start_interval: 30s
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start_period: 5m
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command: [ 'postgres', '-c', 'shared_preload_libraries=vectors.so', '-c', 'search_path="$$user", public, vectors', '-c', 'logging_collector=on', '-c', 'max_wal_size=2GB', '-c', 'shared_buffers=512MB', '-c', 'wal_compression=on' ]
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restart: always
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# add pinpoint-collector-agent
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dev-collector:
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restart: always
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image: ghcr.io/pinpoint-apm/pinpoint-c-agent/collector-agent:0.7
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environment:
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- PP_COLLECTOR_AGENT_SPAN_IP=dev-pinpoint
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- PP_COLLECTOR_AGENT_SPAN_PORT=9993
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- PP_COLLECTOR_AGENT_AGENT_IP=dev-pinpoint
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- PP_COLLECTOR_AGENT_AGENT_PORT=9991
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- PP_COLLECTOR_AGENT_STAT_IP=dev-pinpoint
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- PP_COLLECTOR_AGENT_STAT_PORT=9992
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- PP_COLLECTOR_AGENT_ISDOCKER=true
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- PP_Log_Level=DEBUG
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- PP_ADDRESS=0.0.0.0@10000
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volumes:
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- /etc/hosts:/etc/hosts
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volumes:
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model-cache:

‎testapps/py-immich/hwaccel.ml.yml

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# Configurations for hardware-accelerated machine learning
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# If using Unraid or another platform that doesn't allow multiple Compose files,
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# you can inline the config for a backend by copying its contents
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# into the immich-machine-learning service in the docker-compose.yml file.
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# See https://immich.app/docs/features/ml-hardware-acceleration for info on usage.
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services:
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armnn:
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devices:
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- /dev/mali0:/dev/mali0
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volumes:
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- /lib/firmware/mali_csffw.bin:/lib/firmware/mali_csffw.bin:ro # Mali firmware for your chipset (not always required depending on the driver)
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- /usr/lib/libmali.so:/usr/lib/libmali.so:ro # Mali driver for your chipset (always required)
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cpu: {}
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cuda:
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities:
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- gpu
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openvino:
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device_cgroup_rules:
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- 'c 189:* rmw'
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devices:
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- /dev/dri:/dev/dri
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volumes:
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- /dev/bus/usb:/dev/bus/usb
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openvino-wsl:
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devices:
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- /dev/dri:/dev/dri
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- /dev/dxg:/dev/dxg
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volumes:
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- /dev/bus/usb:/dev/bus/usb
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- /usr/lib/wsl:/usr/lib/wsl

‎testapps/py-immich/hwaccel.transcoding.yml

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# Configurations for hardware-accelerated transcoding
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# If using Unraid or another platform that doesn't allow multiple Compose files,
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# you can inline the config for a backend by copying its contents
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# into the immich-microservices service in the docker-compose.yml file.
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# See https://immich.app/docs/features/hardware-transcoding for more info on using hardware transcoding.
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services:
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cpu: {}
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nvenc:
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities:
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- gpu
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- compute
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- video
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quicksync:
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devices:
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- /dev/dri:/dev/dri
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rkmpp:
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security_opt: # enables full access to /sys and /proc, still far better than privileged: true
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- systempaths=unconfined
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- apparmor=unconfined
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group_add:
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- video
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devices:
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- /dev/rga:/dev/rga
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- /dev/dri:/dev/dri
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- /dev/dma_heap:/dev/dma_heap
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- /dev/mpp_service:/dev/mpp_service
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#- /dev/mali0:/dev/mali0 # only required to enable OpenCL-accelerated HDR -> SDR tonemapping
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volumes:
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#- /etc/OpenCL:/etc/OpenCL:ro # only required to enable OpenCL-accelerated HDR -> SDR tonemapping
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#- /usr/lib/aarch64-linux-gnu/libmali.so.1:/usr/lib/aarch64-linux-gnu/libmali.so.1:ro # only required to enable OpenCL-accelerated HDR -> SDR tonemapping
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vaapi:
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devices:
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- /dev/dri:/dev/dri
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vaapi-wsl: # use this for VAAPI if you're running Immich in WSL2
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devices:
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- /dev/dri:/dev/dri
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volumes:
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- /usr/lib/wsl:/usr/lib/wsl
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environment:
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- LIBVA_DRIVER_NAME=d3d12

‎testapps/py-immich/image.png

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‎testapps/py-immich/immich_machine_learning.dockerfile

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FROM ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
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# RUN apt update && apt install -y gcc g++
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# COPY pinpointpy-1.4.0.tar.gz /usr/src/app/pinpointpy-1.4.0.tar.gz
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# RUN pip install /usr/src/app/pinpointpy-1.4.0.tar.gz
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RUN pip install starlette-context && pip install starlette
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RUN pip install -i https://test.pypi.org/simple/ pinpointPy==1.4.0
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COPY main.py /usr/src/app/main.py

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