Automated Storyboard Synthesis for Digital Advertising

This project aims to streamline the workflow for creating storyboard ads by utilizing a combination of data preprocessing, image analysis, and text analysis.

Installation

1. Clone the repository:

   git clone https://github.com/MelakuAlehegn/semantic-image-text-alignment.git
   cd semantic-image-text-alignment

2. Create and activate a virtual environment:

   python3 -m venv env
   source env/bin/activate   # On Windows use `env\Scripts\activate`

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Explore the data and workflow strategy using the Jupyter notebooks in the notebooks/ directory.
2. Run the source code located in the src/ directory for various tasks such as data preprocessing, image analysis, text analysis, and image composition.
3. Generate reports and figures by executing the scripts and notebooks.

Contributing

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Commit your changes (git commit -am 'Add some feature').
4. Push to the branch (git push origin feature-branch).
5. Create a new Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.