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Image Analytics powered by AWS Rekognition

R 85.01% Python 14.99%
aws shiny shiny-apps boto3 ai awsrekognition imagerecognition celebrity-recognition facial-expression-recognition label-detection

aws-image-analytics's Introduction

Shiny AWS Image Analytics

Demo

Hosted in

App

Summary

This repo contains an R Shiny app that employs AWS Rekognition features. Using this tool requires some familiarity with R and Shiny.

Files

  • The 'app.R' file integrates 'server.R' and 'ui.R', files that contain the server and UI logic for the app respectively.
  • The *.py files are Python functions that invoke the AWS Rekognition functionalities.
  • The 'www/images' folder is requiredwhen deploying the Shiny app for temporary processing.
  • 'AWSImageAnalytics.Rproj' is the R project file for the Shiny app

Usage

  1. Put apps.R in a new folder.
  2. Add *.py files in the same folder.
  3. Create an empty sub-folder path /www/images/
  4. Register the AWS credentials in .Renviron file
  5. Run locally (remove Python virtual environment creation) or deploy to ShinyApps.

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