{ "info": { "author": "Yuk-Hoi Yiu et al.", "author_email": "h.yiu@campus.lmu.de", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: GNU General Public License v3 (GPLv3)", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7" ], "description": "# DeepVOG\n\nDeepVOG is a framework for pupil segmentation and gaze estimation based on a fully convolutional neural network. \n\n## Getting Started\n\nThese instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.\n\n### Prerequisites\n\nTo run DeepVOG, you need to have a Python distribution (we recommend [Anaconda](https://www.anaconda.com/)) and the following Python packages:\n\n```\nscikit-image\nTensorflow\netc.\n```\n\n### Installing\n\nA step by step series of examples that tell you how to get DeepVOG running.\n\n## Publication and Citation\n\nIf you plan to use this work in your research or product, please cite this repository and our publication pre-print on [arXiv](https://arxiv.org/). \n\n## Authors\n\n* **Yiu Yuk Hoi** - *Implementation and validation*\n* **Seyed-Ahmad Ahmadi** - *Research study concept*\n* **Moustafa Aboulatta** - *Initial work*\n\n## License\n\nThis project is licensed under the GNU General Public License v3.0 (GNU GPLv3) License - see the [LICENSE](LICENSE) file for details\n\n## Acknowledgments\n\nWe thank our fellow researchers at the German Center for Vertigo and Balance Disorders for help in acquiring data for training and validation of pupil segmentation and gaze estimation. 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