AI-READI Watermark Pipeline

Description

The repository contains a Python pipeline for applying watermark to the AI-READI dataset based on the file type. It depends on the AI-READI watermark-library.

AI-READI Watermarking Pipeline [Publication Version]

A publication copy of the AI-READI Watermarking Pipeline.

Getting started

Requirements

• Python >= 3.13
• Azure Command Line Interface
• AzCopy >= V10
• Login to the appropriate Azure tenent

Setup & Execution

1. Copy the env.sample to .env

2. Update the .env with the appropriate values

3. Add the watermarking library configuration: ai-readi_watermarking-lib_config.json

4. Initialize the virtualenv module

   python -m venv .venv
   /bin/bash .venv/bin/activate

5. Install the dependencies

   python -m pip install -e .

6. Run the batch.py script

   python batch.py

Issues and Feedback

To report any issues with the software, suggest improvements, or request a new feature, please open a new issue via the Issues tab. Provide adequate information (operating system, steps leading to error, screenshots) so we can help you efficiently.

License

This work is licensed under MIT. See LICENSE for more information.