albumentations-demo / README.md
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albumentations-demo

This service is created to demonstrate abilities of the Albumentations - a library for efficient image augmentations.

Easy start

You can play with this service right now https://albumentations-demo.herokuapp.com/ (It is deployed on free service with very limited computing power and can be quite unstable)

If you would like to run it locally follow the installation instruction.

Installation

git clone https://github.com/IliaLarchenko/albumentations-demo
cd albumentations-demo
pip install -r requirements.txt
streamlit run src/app.py

In your terminal you will see the link to the running local service similar to :

  You can now view your Streamlit app in your browser.

  Network URL: http://YOUR_LOCAL_IP:8501
  External URL: http://YOUR_GLOBAL_IP:8501

Just follow the local link to use the service.

How to use

The interface is very simple and intuitive:

  1. On the left you have a control sidebar. You can choose the image and the transformation.
  2. After that you will see the control elements for the every parameter this transformation has.
  3. Every time you change any parameter you will see the augmented version of the image on the right side of your screen.
  4. Below the images you can find a code for calling of the augmentation with selected parameters.
  5. You can also find there the original docstring for this transformation. screenshot

Links