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Fashion Lens is an android app which detects clothes on given image/video and enables finding visually similar clothes to the found ones.

JavaScript 20.11% Starlark 2.46% Java 70.10% Ruby 1.57% Objective-C 5.76%
object-detection neural-networks mobile-app

fashionlens's Introduction

FashionLens

Fashion Lens is an android app ๐Ÿ“ฑ which detects clothes ๐Ÿ‘• on given image/video and enables finding ๐Ÿ” visually similar clothes to the found ones.

Build ๐Ÿ”จ and run ๐Ÿš˜

  1. App depends on external microservice which is responsible for detecting clothes on given image hence it is required to do one of the following things:
  • Pull docker image ๐Ÿณ from dockerhub repo by executing docker pull pbeza/clothes-detector
  • Build docker image ๐Ÿณ on your own by following these instructions
  1. Run docker container locally with docker run pbe/clothes-detector:latest or deploy it to the cloud โ˜๏ธ
  2. In the root directory of cloned project create .env file with:
  • API_URL - url to your microservice concatenated with "/detect" string
  • API_KEY - token used when using Bearer Authentication ๐Ÿ”‘ (it's not required if your API is publically accessible f.e. if running locally).

You can find examplary .env file below:

API_URL=http://192.168.1.55:8080/detect  
API_KEY=key
  1. Install app dependencies with npm install
  2. Run app ๐Ÿ“ฑ on physical device or on emulator with Android with react-native run-android --variant=release

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