immich终于1.0了，在nas上部署了，没什么大的问题就不动，尽量也不要升级。

目录结构

DXP4800只支持使用compose部署项目，所以需要用到ssh连接终端来部署基本的目录结构。

immich
├── docker-compose.yaml #compose文件
├── .env #配置环境变量
├── geodata #反向地理编码汉化
├── hwaccel.ml.yml #硬件
├── hwaccel.transcoding.yml #硬件
├── i18n-iso-countries #反向地理编码汉化
├── library #相册文件
├── model-cache #机器学习模型文件
└── postgres #数据库

DXP4800部署

配置 .env

基本上没有什么配置的，如有需要改一下数据库密码什么的。

# You can find documentation for all the supported env variables at https://docs.immich.app/install/environment-variables

# The location where your uploaded files are stored
UPLOAD_LOCATION=./library

# The location where your database files are stored. Network shares are not supported for the database
DB_DATA_LOCATION=./postgres

# 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
# TZ=Etc/UTC
TZ=Asia/Shanghai
# The Immich version to use. You can pin this to a specific version like "v1.71.0"
IMMICH_VERSION=release

# Connection secret for postgres. You should change it to a random password
# Please use only the characters `A-Za-z0-9`, without special characters or spaces
# 这里可以随机一下密码加强一下安全性，可以用`openssl rand -hex 32`生成
DB_PASSWORD=postgres

# The values below this line do not need to be changed
###################################################################################
DB_USERNAME=postgres
DB_DATABASE_NAME=immich

N100硬解

下载2个文件

wget https://raw.githubusercontent.com/immich-app/immich/main/docker/hwaccel.transcoding.yml
wget https://raw.githubusercontent.com/immich-app/immich/main/docker/hwaccel.ml.yml

机器学习

大模型比较大，一般都是几个g的，官方的托管中抱脸，默认可以不需要提前下载，前提是你的网络能访问到抱脸。如果不能，可以利用git lfs提前下载。

1. 安装git-lfs
   apt install git-lfs
2. 克隆到模型目录

cd ./model-cache/clip #大模型目录，最好是挂载出来。
git clone https://huggingface.co/immich-app/XLM-Roberta-Large-Vit-B-16Plus

我们使用官方提供的 XLM-Roberta-Large-Vit-B-16Plus可以比较好的识别中文，也有其他更好的方案，但是太麻烦了，我自己适用了一下，这个模型就可以基本的识别到了。

反向地理编码汉化

默认的情况下城市都是英文的，有大佬做了修改，感谢大佬。
ZingLix/immich-geodata-cn: 为 Immich 提供中文反向地理编码支持，将照片拍摄地点转换为熟悉的中文名称，并支持通过中文地名搜索照片

1. 在releases中下载 geodata.zip和 i18n-iso-countries.zip
2. 分别解压到项目目录下的 geodata和 i18n-iso-countries文件夹

docker-compose.yaml 文件

汇总了上面的功能

#
# WARNING: To install Immich, follow our guide: https://docs.immich.app/install/docker-compose
#
# Make sure to use the docker-compose.yml of the current release:
#
# https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
#
# The compose file on main may not be compatible with the latest release.

name: immich

services:
  immich-server:
    container_name: immich_server
    image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
    # extends:
    #   file: hwaccel.transcoding.yml
    #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
    volumes:
      # 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
      - ${UPLOAD_LOCATION}:/data
      - /etc/localtime:/etc/localtime:ro
      - /volume2/dockerfiles/immich/pictures:/pictures #外部存储挂载卷
      - ./geodata:/build/geodata  #地理反向编码挂载卷
      - ./i18n-iso-countries:/usr/src/app/node_modules/i18n-iso-countries #地理反向编码挂载卷
    env_file:
      - .env
    extends:
      file: hwaccel.transcoding.yml
      service: quicksync
    ports:
      - '2283:2283'
    depends_on:
      - redis
      - database
    restart: always
    healthcheck:
      disable: false

  immich-machine-learning:
    container_name: immich_machine_learning
    # For hardware acceleration, add one of -[armnn, cuda, rocm, openvino, rknn] to the image tag.
    # Example tag: ${IMMICH_VERSION:-release}-cuda
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}-openvino
    extends: # uncomment this section for hardware acceleration - see https://docs.immich.app/features/ml-hardware-acceleration
      file: hwaccel.ml.yml
      service: openvino # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` version for WSL2 where applicable
    volumes:
      - ./model-cache:/cache #大模型挂载卷
    env_file:
      - .env
    restart: always
    healthcheck:
      disable: false

  redis:
    container_name: immich_redis
    image: docker.io/valkey/valkey:8-bookworm@sha256:fea8b3e67b15729d4bb70589eb03367bab9ad1ee89c876f54327fc7c6e618571
    healthcheck:
      test: redis-cli ping || exit 1
    restart: always

  database:
    container_name: immich_postgres
    image: ghcr.io/immich-app/postgres:14-vectorchord0.4.3-pgvectors0.2.0@sha256:41eacbe83eca995561fe43814fd4891e16e39632806253848efaf04d3c8a8b84
    environment:
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_DB: ${DB_DATABASE_NAME}
      POSTGRES_INITDB_ARGS: '--data-checksums'
      # Uncomment the DB_STORAGE_TYPE: 'HDD' var if your database isn't stored on SSDs
      # DB_STORAGE_TYPE: 'HDD'
    volumes:
      # 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
      - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
    shm_size: 128mb
    restart: always

# volumes:
#   model-cache:

Immich 使用

配置机器学习

1. 打开web端，点击头像，系统设置
2. 修改CLIP模型为 XLM-Roberta-Large-Vit-B-16Plus
3. 任务，智能搜索-全部
   

配置外部存储

1. 点击头像，系统管理，外部图库
2. 创建图库，选择所有者，输入路径
   

Enjoy

玩的开心~