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How to Run

This project is an implementation of the Illustration2Vec model, which is a deep neural network for tagging and predicting attributes of illustrations. Here are the steps to run the project: With ACGANS

  1. Poetry init / poetry install
  2. cd src/create_data/ and run python generate_data_images.py
  3. cd illustrationtovec and run get_models.sh
  4. run python get_tags.py Note: This step may take several hours, depending on the size of your dataset.
  5. Now cd .. and run python create_csv.py

Now that you have the data and the images preproc, you May now run the main file or you May wish to run the other possible options in train / test directly.