/litd

Own implementation of the "Learning in the dark" Paper

Primary LanguageJupyter NotebookMIT LicenseMIT

Introduction

Converting night time images to day time images.

Run

To run this app on a local streamlit app:

 pip install -r requirements.txt
 streamlit run init.py

We've deployed the app on streamlit which is trained on learning to see in dark paper with resnet 34 as architecture.

 Currently this project is under development will take quite more time to get it to bring us good results

code

The code for replicating this experiment can be found in notebooks folder

Dataset used

Sony camera raw dataset this dataset is converted to jpg images and then trained with the backbone of resnet34 architecture

Original paper link

arXiv:1805.01934 [cs.CV]

Special thanks to the authors of the paper.