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  • Created over 12 years ago
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Repository Details

Scientific computing library for optics, computer graphics and visual perception

DOI License: MPL 2.0

Odak

Odak (pronounced "O-dac") is the fundamental library for scientific computing in optical sciences, computer graphics, and visual perception. Odak is also the toolkit for the research conducted in Computational Light Laboratory. To learn more about what Odak can do to help your design, experimentation, and development, consult our documentation!

Getting Started

Installing

For the most recent guidance on installing Odak, please consult to installation documentation. Odak can be installed using pip:

pip3 install odak

or you can follow this, but remember that it will install the latest version in the repository this way:

pip3 install git+https://github.com/kaanaksit/odak --upgrade

or this:

git clone [email protected]:kaanaksit/odak.git
cd odak
pip3 install -r requirements.txt
pip3 install -e .

Usage

You can import Odak and start designing your next in Optics, Computer Graphics, or Perception! We prepared a documentation on usage and much more.

Sample Projects that uses Odak

Here are some sample projects that uses odak:

How to cite

For adding the link of this repository in your publication, please use Zenodo's citation. If you have used odak in your research project, please consider citing any of the following works:

@inproceedings{akcsit2023flexible,
  title={Flexible modeling of next-generation displays using a differentiable toolkit},
  author={Ak{\c{s}}it, Kaan and Kavakl{\i}, Koray},
  booktitle={Practical Holography XXXVII: Displays, Materials, and Applications},
  volume={12445},
  pages={131--132},
  year={2023},
  organization={SPIE}
}
@inproceedings{kavakli2022introduction,
  title={Introduction to Odak: a Differentiable Toolkit for Optical Sciences, Vision Sciences and Computer Graphics},
  author={Kavakl{\i}, Koray and Ak{\c{s}}it, Kaan},
  booktitle={Frontiers in Optics},
  pages={FTu1A--1},
  year={2022},
  organization={Optica Publishing Group}
}
@incollection{kavakli2022optimizing,
  title={Optimizing vision and visuals: lectures on cameras, displays and perception},
  author={Kavakli, Koray and Walton, David Robert and Antipa, Nick and Mantiuk, Rafa{\l} and Lanman, Douglas and Ak{\c{s}}it, Kaan},
  booktitle={ACM SIGGRAPH 2022 Courses},
  pages={1--66},
  year={2022}
}