# Immich Self-hosted photo and video backup solution directly from your mobile phone. ![](https://media.giphy.com/media/y8ZeaAigGmNvlSoKhU/giphy.gif) Loading ~4000 images/videos ## Screenshots
# 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. # Features - Upload and view assets (videos/images). - Download asset to local device. - 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. - Image Tagging/Classification based on ImageNet dataset - Object detection based on COCO SSD. - Search assets based on tags and exif data (lens, make, model, orientation) - [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 - Show curated objects on the search page - Shared album with users on the same server # Development You can use docker compose for development, there are several services that compose Immich 1. NestJs 2. PostgreSQL 3. Redis 4. Nginx 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. To start, run ```bash docker-compose -f ./docker/docker-compose.yml up --build -V ``` 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 ## F-Droid You can get the app on F-droid by cliking the image below. [](https://f-droid.org/packages/app.alextran.immich) ## Android #### Download latest `apk` in release tab and run on your phone. You can follow this guide on how to do that - [Run APK on Android](https://www.lifewire.com/install-apk-on-android-4177185) #### You can also download the app from Google Play Store [here](https://play.google.com/store/apps/details?id=app.alextran.immich) *The App version might be lagging behind the latest release due to the review process.*
## 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.*
# 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! 🎉 # Known Issue ## TensorFlow Build Issue *This is a known issue on RaspberryPi 4 arm64-v7 and incorrect Promox setup* 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`: ```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` Otherwise you can: - edit `docker-compose.yml` file and comment the whole `immich_microservices` service **which will disable machine learning features like object detection and image classification** - switch to a different VM/desktop with different architecture.