In this Folder I have provided Deep_Image_Prior_Writeup.ipynb to perform experiments for the paper:
Deep Image Prior
CVPR 2018
Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky
Here is the list of libraries you need to install to execute the code:
- python = 3.6
- pytorch = 0.4
- numpy
- scipy
- matplotlib
- scikit-image
- jupyter
- opencv
- pillow = 6.2.2
All of them can be installed via conda (anaconda), e.g.
conda install jupyter
or create an conda env with all dependencies via environment file
conda env create -f environment.yml
Note: To quickly run the notebook, and visualise the results I have added a flag only_visualize. When set to True, the notebook will use the saved results/images and visualize them. To train the models from scratch, please set this flag as False.
If this flag is set to False, few cells where the best images are handpicked and plotted may not display the best images anymore.