Mirrors/photoprism
1
0
Fork 0
mirror of https://github.com/photoprism/photoprism.git synced 2026-01-23 02:24:24 +00:00
Code Issues Projects Releases Wiki Activity

Update README.md

Browse source
This commit is contained in:
Michael Mayer 2018-09-08 10:13:49 +02:00 • committed by GitHub
parent 7773859775
commit c01b78d0d6
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
1 changed files with 5 additions and 5 deletions
Download patch file Download diff file Expand all files Collapse all files

10
README.md
View file

@ -1,6 +1,6 @@
![PhotoPrism](docs/img/logo.png)
[![Powered By](https://img.shields.io/badge/powered%20by-Go,%20Google%20TensorFlow%20%26%20Vuetify-blue.svg)][powered by]
[![Powered By](https://img.shields.io/badge/powered%20by-Go,%20TensorFlow%20%26%20Vuetify-blue.svg)][powered by]
[![MIT License](https://img.shields.io/badge/license-MIT-blue.svg)][license]
[![Code Quality](https://goreportcard.com/badge/github.com/photoprism/photoprism)][code quality]
[![GitHub issues](https://img.shields.io/github/issues/photoprism/photoprism.svg)][issues]
@ -20,17 +20,17 @@ Originals are stored in the file system in a structured way for easy backup and
Our goal is to provide the following features (tested as a proof-of-concept):
- High-performance command line tool
- Web frontend
- [Web frontend](docs/img/search.png)
- No proprietary or binary data formats
- Duplicate detection
- Automated tagging using Google TensorFlow
- Reverse geocoding based on latitude and longitude
- 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
- Image search with powerful filters
- Easy backup and export
Web Frontend
------------
Open a terminal an type `photoprism start` to start the built-in server. It will listen on localhost port 80 by default.
Open a terminal an type `photoprism start` to start the built-in server. It will listen on port 80 by default.
The UI is based on [Vuetify](https://vuetifyjs.com/en/), a [Material Design](https://material.io/) component framework for Vue.js 2.
![](docs/img/search.png "Advanced Search")