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PhotoPrism
==========
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[![Powered By ](https://img.shields.io/badge/powered%20by-Go,%20TensorFlow%20%26%20Vuetify-blue.svg )][powered by]
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[![MIT License ](https://img.shields.io/badge/license-MIT-blue.svg )][license]
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[![Code Quality ](https://goreportcard.com/badge/github.com/photoprism/photoprism )][code quality]
[![GitHub issues ](https://img.shields.io/github/issues/photoprism/photoprism.svg )][issues]
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[![Build Status ](https://travis-ci.org/photoprism/photoprism.png?branch=master )][ci]
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[powered by]: https://www.tensorflow.org/install/install_go
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[license]: https://github.com/photoprism/photoprism/blob/master/LICENSE
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[code quality]: https://goreportcard.com/report/github.com/photoprism/photoprism
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[issues]: https://github.com/photoprism/photoprism/issues
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[ci]: https://travis-ci.org/photoprism/photoprism
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PhotoPrism is a server-based application for automatically tagging, searching and organizing large amounts of JPEG and RAW files.
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It is functionally similar to popular cloud services such as [Flickr ](https://www.flickr.com/ ) or [Google Photos ](https://photos.google.com/ ).
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Originals are stored in the file system in a structured way for easy backup and reliable long-term accessibility.
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*Note: This software is still alpha and under active development. You're welcome to ask if you have any questions or would like to support the project.*
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Our goal is to provide the following features (tested as a proof-of-concept):
- High-performance command line tool
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- [Web frontend ](docs/img/screenshot.jpg )
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- No proprietary or binary data formats
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- Automatic RAW to JPEG conversion
- Duplicate detection (JPEG and RAW can be used simultaneously)
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- Automated tagging using [Google TensorFlow ](https://www.tensorflow.org/install/install_go )
- [Reverse geocoding ](https://wiki.openstreetmap.org/wiki/Nominatim#Reverse_Geocoding ) based on latitude and longitude
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- Image search with powerful filters
- Easy backup and export
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Web Frontend
------------
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Open a terminal an type `photoprism start` to start the built-in server. It will listen on port 80 by default.
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The UI is based on [Vuetify ](https://vuetifyjs.com/en/ ), a [Material Design ](https://material.io/ ) component framework for Vue.js 2.
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![](docs/img/screenshot.jpg)
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Setup
-----
Before you start, make sure you got Git and Docker installed on your system.
Instead of using Docker, you can also setup your own runtime environment
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based on the existing Docker configuration (not recommended).
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**Step 1:** Run [Git ](https://getcomposer.org/ ) to clone this project:
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```
git clone git@github.com:photoprism/photoprism.git
```
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**Step 2:** Start [Docker ](https://www.docker.com/ ) containers:
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```
cd photoprism
docker-compose up
```
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*Note: This docker-compose configuration is for testing and development purposes only.*
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**Step 3:** Open a terminal to run tests and commands:
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```
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docker-compose exec photoprism bash
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make
make test
make install
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go run cmd/photoprism/photoprism.go start
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```
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See [Quick and easy guide for migrating to Go 1.11 modules ](https://blog.liquidbytes.net/2018/09/quick-and-easy-guide-for-migrating-to-go-1-11-modules/ ) for an introduction to Go Modules and Makefiles.
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Concept
-------
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![](docs/img/concept.jpg)