Skip to content

Project for the TUM.AI Makeathon 2021: python script for the visualization of the predictions of Microsoft Azure.

Notifications You must be signed in to change notification settings

reb-ddm/redensificaition

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

redensificAItion

Dependencies

You need Python3 and pip.

Install dependencies with:

pip install streamlit
pip install python-dotenv

To install streamlit with windows we suggest to use the anaconda terminal.

more information

How to run the application

First you need to set the environment variables prediction_key and prediction_base_url in the .env file. You can find them on Azure when you publish a Custom Vision model.

Then run streamlit run script.py.

Features

You can choose a file, which gets sent to a published Azure Custom Vision model for labeling. Then the predicted labels are shown in the app. In order to choose the model that will be used by the program, the .env file has to be updated with the right URL and prediction key.

It only shows the labels with a probability greater than 20%.

About

Project for the TUM.AI Makeathon 2021: python script for the visualization of the predictions of Microsoft Azure.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages