text-image-deblur

This repository contains a convolutional neural network (CNN) model specifically trained to deblur images of text. It is designed to evaluate and compare its performance against the general-purpose image deblurring model, DeblurGAN

Getting Started

1. Clone the Repository:

   git clone https://github.com/slymachenko/text-image-deblur.git
   cd text-image-deblur

2. Install Dependencies:
   Ensure you have Python and the required libraries installed. You can use conda enviornment provided in requirements.txt:

   conda create --name text-image-deblur --file requirements.txt
   conda activate text-image-deblur

3. Run the Model:
   Use the provided Jupyter Notebook main.ipynb to train or evaluate the model.

License

This project is licensed under the MIT License. See the LICENSE file for more details.