mirror of
https://github.com/immich-app/immich.git
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026f3c24e9
* Added reserve geocoding, location in search suggestion, and search by location * Added mapbox sdk to app * Added mapbox to image detailed view
120 lines
3.4 KiB
Markdown
120 lines
3.4 KiB
Markdown
<p align="center">
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<img src="design/immich-logo.svg" width="150" title="hover text">
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</p>
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# IMMICH
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Self-hosted photo and video backup solution directly from your mobile phone.
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![](https://media.giphy.com/media/y8ZeaAigGmNvlSoKhU/giphy.gif)
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Loading ~4000 images/videos
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## Screenshots
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<p align="left">
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<img src="design/sc1.PNG" width="150" title="Login With Custom URL">
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<img src="design/sc2.PNG" width="150" title="Backup Setting Info">
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<img src="design/sc4.PNG" width="150" title="Home Page">
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<img src="design/sc3.PNG" width="150" title="Multiple seelct">
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<img src="design/sc5.PNG" width="150" title="Multipe select group">
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</p>
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# Note
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**!! NOT READY FOR PRODUCTION! DO NOT USE TO STORE YOUR ASSETS !!**
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This project is under heavy development, there will be continous functions, features and api changes.
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# Features
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- Upload assets(videos/images).
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- View assets.
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- Quick navigation with drag scroll bar.
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- Auto Backup.
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- Support HEIC/HEIF Backup.
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- Extract and display EXIF info.
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- Real-time render from multi-device upload event.
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- Image Tagging/Classification based on ImageNet dataset
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- Search assets based on tags and exif data (lens, make, model, orientation)
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- Upload assets from your local computer/server using [immich cli tools](https://www.npmjs.com/package/immich)
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- Geocoding to show asset's location information on map (required MapBox registration for their generous free tier)
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# Development
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You can use docker compose for development, there are several services that compose Immich
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1. NestJs
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2. PostgreSQL
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3. Redis
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4. Nginx
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5. TensorFlow and Keras
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## Populate .env file
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Navigate to `docker` directory and run
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```
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cp .env.example .env
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```
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Then populate the value in there.
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Notice that if set `ENABLE_MAPBOX` to `true`, you will have to provide `MAPBOX_KEY` for the server to run.
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Pay attention to the key `UPLOAD_LOCATION`, this directory must exist and is owned by the user that run the `docker-compose` command below.
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To start, run
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```bash
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docker-compose -f ./docker/docker-compose.yml up --build -V
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```
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The server will be running at `http://your-ip:2283` through `Nginx`
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## Register User
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Use the command below on your terminal to create user as we don't have user interface for this function yet.
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```bash
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curl --location --request POST 'http://your-server-ip:2283/auth/signUp' \
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--header 'Content-Type: application/json' \
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--data-raw '{
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"email": "testuser@email.com",
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"password": "password"
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}'
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```
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## Run mobile app
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### Android
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Download `apk` in release tab and run on your phone. You can follow this guide on how to do that
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- [Run APK on Android](https://www.lifewire.com/install-apk-on-android-4177185)
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### iOS
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- Get a MacOS
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- Download and setup Flutter development environment
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- Navigate to `mobile` folder
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- Run with release build command for best performance.
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```bash
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flutter run --release
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```
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# Known Issue
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TensorFlow doesn't run with older CPU architecture, it requires CPU with AVX and AVX2 instruction set. If you encounter the error `illegal instruction core dump` when running the docker-compose command above, check for your CPU flags with the command and make sure you see `AVX` and `AVX2`. Otherwise, switch to a different VM/desktop with different architecture.
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```bash
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more /proc/cpuinfo | grep flags
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```
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If you are running virtualization in Promox, the VM doesn't have the flag enable.
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You need to change the CPU type from `kvm64` to `host` under VMs hardware tab.
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`Hardware > Processors > Edit > Advanced > Type (dropdown menu) > host`
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