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< p align = "center" >
< img src = "design/immich-logo.svg" width = "150" title = "hover text" >
< / 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
< p align = "left" >
< img src = "design/sc1.PNG" width = "150" title = "Login With Custom URL" >
< img src = "design/sc2.PNG" width = "150" title = "Backup Setting Info" >
< img src = "design/sc4.PNG" width = "150" title = "Home Page" >
< img src = "design/sc3.PNG" width = "150" title = "Multiple seelct" >
< img src = "design/sc5.PNG" width = "150" title = "Multipe select group" >
< / p >
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# Note
**!! 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).
- View assets.
- Quick navigation with drag scroll bar.
- Auto Backup.
- Support HEIC/HEIF Backup.
- Extract and display EXIF info.
- Real-time render from multi-device upload event.
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- Image Tagging/Classification based on ImageNet dataset
- 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
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
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
```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`
## Register User
Use the command below on your terminal to create user as we don't have user interface for this function yet.
```bash
curl --location --request POST 'http://your-server-ip:2283/auth/signUp' \
--header 'Content-Type: application/json' \
--data-raw '{
"email": "testuser@email.com",
"password": "password"
}'
```
## Run mobile app
### 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 )
### iOS
- Get a MacOS
- Download and setup Flutter development environment
- Navigate to `mobile` folder
- Run with release build command for best performance.
```bash
flutter run --release
```
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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
more /proc/cpuinfo | grep flags
```
If you are running virtualization in Promox, the VM doesn't have the flag enable.
You need to change the CPU type from `kvm64` to `host` under VMs hardware tab.
`Hardware > Processors > Edit > Advanced > Type (dropdown menu) > host`