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A study of SOTA models and their ability to detect AI-generated imagery when faced with common transformations like cropping and resizing.

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Reveal-AI

A study of SOTA models and their ability to detect AI-generated imagery when faced with common transformations like cropping and resizing.

Setup Instructions

Using UV Package Manager

  1. Install uv by running the following command in your terminal:

    curl -LsSf https://astral.sh/uv/install.sh | sh

Read more about installing uv here.

  1. Create a virtual environment named .venv in the project root by running:

    uv venv .venv --python 3.12

    This will also install the specified Python version if it's not already available on your system.

    Activate the virtual environment by running the command provided upon successful creation.

  2. If a 'pyproject.toml' file already exists in the project root, run:

    uv sync

    This will install the main dependencies of the project. To install all optional dependency groups (like dev, test, docs), run:

    uv sync --all-extras --all-groups
  3. To install additional libraries:

    uv add <package-name>

    For a specific version:

    uv add '<package-name>==1.2.3'

    To add to a specific dependency group:

    uv add <package-name> --group <group-name>
  4. To uninstall libraries:

    uv remove <package-name>
  5. Run familiar pip commands using uv:

    uv pip install <package-name>
    uv pip uninstall <package-name>
    uv pip list

    NOTE: These commands will operate within the .venv virtual environment, but will not update the pyproject.toml file. Use uv add and uv remove to manage dependencies in the project configuration.

About

A study of SOTA models and their ability to detect AI-generated imagery when faced with common transformations like cropping and resizing.

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