Imaging Shiny App

Implementation of Scikit Counting Coins onto a R/Shiny App

As per the Subject Matter Expert's (Lachie) recommendation, we have implemented the Image Segementation example from Scikit as a base for the Shiny app

• This is because we want a simple example to see how feasible it is for an implementation, also because we know what the intended output is

R/Shiny UI Setup Guide

Prerequisites

• Ensure access to Milton HPC and OnDemand.
• If you lack access, follow the provided setup instructions.

Initial Setup

1. Log into OnDemand.
2. Navigate to CLUSTERS -> SLURM SHELL ACCESS.
3. Enter your password (note that it won't be displayed on the screen).
4. Clone the repository: (https://github.com/JadenLing/imaging_shiny.git).

Launching OnDemand Shiny App

1. Navigate to Shiny App setup.

2. Configure your session:

   • Partition: interactive
   • R Version: 4.2.3
   • CPUs: 4
   • Memory: 8GB
   • Additional Modules: R shiny
     • Note that if you have the library shiny installed in R already, please leave the additional modules blank

3. Specify the Shiny App directory: /home/users/allstaff/<username>/imaging_shiny (use a directory, not a file name).

   • For a basic app, name the file app.R.
   • For an app with both UI and server files, name them ui.R and server.R respectively.

4. If there are issues, consult the session log and output log.

5. Click Launch -> Connect to Shiny App to start your application.