ArtistGAN

Project Summary

This Repository is a Generative Modelling Project.
Author of this Project: Rahul Golder

Project Created as part of the Kaggle Competetion: I'm Something of a Painter Myself.

About the Project: The model ArtistGAN will convert a real-domain image to a monet style painting domain image through a domain transfer feature mapping.

Motivation of Modelling Architecture: CycleGAN Model for Domain Features Transfer.

Getting Started

Getting Started with the Project:

1. Run the following code for to import os module and also create a content directory.
   import os
os.chdir("/content")
2. Run the code to clear the ArtistGAN directory if it exists.
   !rm -r /content/ArtistGAN
3. Run the code for cloning the Project Repository.
   !git clone https://github.com/Goldenprince8420/ArtistGAN.git
4. Set Artist Directory as the current directory.
5. Run the following script kaggle.sh for Kaggle Setup and Data downloads.
   !bash kaggle.sh
6. Unzip the Training Weights.
   ! unzip cyclegan-training-weights.zip -d weights
7. Run the script file run.sh for running the model.
   !bash run.sh
   The Programme will run with default setup of the model running parameters. It may take 5 to 10 minutes.