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immich/README.md

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<p align="center">
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<p align="center">
<img src="design/immich-logo.svg" width="200" title="Immich Logo">
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</p>
# 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">
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<img src="design/nsc1.png" width="150" title="Login With Custom URL">
<img src="design/nsc2.png" width="150" title="Backup Setting Info">
<img src="design/nsc3.png" width="150" title="Multiple select">
<img src="design/nsc4.jpeg" width="150" title="Curated Search Info">
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<img src="design/nsc6.png" width="150" title="EXIF Info">
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</p>
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# Note
**!! NOT READY FOR PRODUCTION! DO NOT USE TO STORE YOUR ASSETS !!**
This project is under heavy development, there will be continous functions, features and api changes.
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# Features
- Upload and view assets(videos/images).
- Multi-user supported.
- 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
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- Object detection based on COCO SSD.
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- Search assets based on tags and exif data (lens, make, model, orientation)
- Upload assets from your local computer/server using [immich cli tools](https://www.npmjs.com/package/immich)
- [Optional] Reverse geocoding using Mapbox (Generous free-tier of 100,000 search/month)
- Show asset's location information on map (OpenStreetMap).
- Show curated places on the search page
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- Show curated objects on the search page
# Development
You can use docker compose for development, there are several services that compose Immich
1. NestJs
2. PostgreSQL
3. Redis
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4. Nginx
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5. TensorFlow
## Populate .env file
Navigate to `docker` directory and run
```
cp .env.example .env
```
Then populate the value in there.
Notice that if set `ENABLE_MAPBOX` to `true`, you will have to provide `MAPBOX_KEY` for the server to run.
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
docker-compose -f ./docker/docker-compose.yml up --build -V
```
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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
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## Android
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#### Download latest `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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#### You can also download the app from Google Play Store [here](https://play.google.com/store/apps/details?id=app.alextran.immich)
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*The App version might be lagging behind the latest release due to the review process.*
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<p align="left">
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<img src="design/google-play-qr-code.png" width="200" title="Google Play Store">
<p/>
## iOS
#### You can download the app from Apple AppStore [here](https://apps.apple.com/us/app/immich/id1613945652):
*The App version might be lagging behind the latest release due to the review process.*
<p align="left">
<img src="design/ios-qr-code.png" width="200" title="Apple App Store">
<p/>
# Support
If you like the app, find it helpful, and want to support me to offset the cost of publishing to AppStores, you can sponsor the project with [**Github Sponsore**](https://github.com/sponsors/alextran1502).
This is also a meaningful way to give me motivation and encounragment to continue working on the app.
Cheer! 🎉
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# Known Issue
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.
```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`