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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.