Update readme

openPupil · Jun 20, 2021 · 4bd6f23 · 4bd6f23
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diff --git a/PupilEXT/README.md b/PupilEXT/README.md
@@ -28,7 +28,7 @@ For debugging porpuses, the Pylon SDK supports emulating camera devices that are
 
 # License
 
-PupilEXT is available under the GPL License (see [LICENSE](LICENSE)). Note that third-party libraries used in this project may be distributed under other open source licenses.
+The software PupilEXT is licensed under [GNU General Public License v.3.0.](https://github.com/openPupil/Open-PupilEXT/blob/main/PupilEXT/LICENSE), Copyright (c) 2021 Technical University of Darmstadt. PupilEXT is for academic and non-commercial use only. Note that third-party libraries used in PupilEXT may be distributed under other open-source licenses.
 
 [**QT**](https://www.qt.io/) is an open-source widget toolkit for creating graphical user interfaces as well as cross-platform applications that run on various software and hardware platforms such as Linux, Windows, macOS, Android or embedded systems. (License: GPL2.0/3.0 & LGPL 3.0)
 
@@ -44,10 +44,10 @@ PupilEXT is available under the GPL License (see [LICENSE](LICENSE)). Note that
 
 **[PuReST:](https://github.com/tcsantini/EyeRecToo/blob/master/EyeRecToo/src/pupil-tracking/PuReST.h)** Thiago Santini, Wolfgang Fuhl, Enkelejda Kasneci. PuReST: Robust pupil tracking for real-time pervasive eye tracking. *Symposium on Eye Tracking Research and Applications (ETRA)*. **2018**. https://doi.org/10.1145/3204493.3204578. Part of the [EyeRecToo](https://github.com/tcsantini/EyeRecToo) software. Copyright (c) 2018, Thiago Santini, University of Tübingen. **License:** For non-commercial purposes ([Link](https://github.com/tcsantini/EyeRecToo/blob/master/EyeRecToo/src/pupil-tracking/PuReST.h)).
 
-**[ElSe:](https://dl.acm.org/doi/10.1145/3204493.3204578)** Wolfgang Fuhl, Thiago Santini, Thomas Kübler, Enkelejda Kasneci. ElSe: Ellipse Selection for Robust Pupil Detection in Real-World Environments. *ETRA 2016 : Eye Tracking Research and Application.* **2016.** Part of the [EyeRecToo](https://github.com/tcsantini/EyeRecToo) software. Copyright (c) 2018, Thiago Santini, University of Tübingen. **License:** For non-comercial use only ([Link](https://github.com/tcsantini/EyeRecToo/blob/master/EyeRecToo/src/pupil-detection/ElSe.h)).
+**[ElSe:](https://dl.acm.org/doi/10.1145/3204493.3204578)** Wolfgang Fuhl, Thiago Santini, Thomas Kübler, Enkelejda Kasneci. ElSe: Ellipse Selection for Robust Pupil Detection in Real-World Environments. *ETRA 2016 : Eye Tracking Research and Application.* **2016.** Part of the [EyeRecToo](https://github.com/tcsantini/EyeRecToo) software. Copyright (c) 2018, Thiago Santini, University of Tübingen. **License:** For non-comercial use only ([Link](https://github.com/tcsantini/EyeRecToo/blob/master/EyeRecToo/src/pupil-detection/ElSe.h)).
 
-**[ExCuSe:](https://link.springer.com/chapter/10.1007/978-3-319-23192-1_4)** Wolfgang Fuhl, Thomas Kübler, Katrin Simpel, Wolfgang Rosenstiel, Enkelejda Kasneci. ExCuSe: Robust Pupil Detection in Real-World Scenarios. *CAIP 2015 : Computer Analysis of Images and Patterns*. **2015**. Part of the [EyeRecToo](https://github.com/tcsantini/EyeRecToo) software. Copyright (c) 2018, Thiago Santini, University of Tübingen. **License:** For non-comercial use only ([Link](https://github.com/tcsantini/EyeRecToo/blob/master/EyeRecToo/src/pupil-detection/ExCuSe.h)).
+**[ExCuSe:](https://link.springer.com/chapter/10.1007/978-3-319-23192-1_4)** Wolfgang Fuhl, Thomas Kübler, Katrin Simpel, Wolfgang Rosenstiel, Enkelejda Kasneci. ExCuSe: Robust Pupil Detection in Real-World Scenarios. *CAIP 2015 : Computer Analysis of Images and Patterns*. **2015**. Part of the [EyeRecToo](https://github.com/tcsantini/EyeRecToo) software. Copyright (c) 2018, Thiago Santini, University of Tübingen. **License:** For non-comercial use only ([Link](https://github.com/tcsantini/EyeRecToo/blob/master/EyeRecToo/src/pupil-detection/ExCuSe.h)).
 
 **[Starbust:](https://ieeexplore.ieee.org/document/1565386)** Dongheng Li, Winfield, D., Parkhurst, D. J. Starburst: A hybrid algorithm for video-based eye tracking combining feature-based and model-based approaches. in *2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) - Workshops* vol. 3 79–79 (IEEE, 2005). https://doi.org/10.1109/CVPR.2005.531. Based on the [cvEyeTracker](https://github.com/thirtysixthspan/cvEyeTracker) Version 1.2.5 implementation. **License:** GNU General Public License ([Link](https://github.com/thirtysixthspan/cvEyeTracker/blob/master/ransac_ellipse.cpp))
 
-**[Swirski2D:](https://dl.acm.org/doi/10.1145/2168556.2168585)** Lech Swirski, Andreas Bulling, Neil Dodgson. Robust real-time pupil tracking in highly off-axis images. *ETRA 2012: Proceedings of the Symposium on Eye Tracking Research and Applications*. **2012**. https://doi.org/10.1145/2168556.2168585.  **License:** MIT License, Copyright (c) 2014 Lech Swirski ([Link](https://github.com/LeszekSwirski/pupiltracker/blob/master/LICENSE.md))
+**[Swirski2D:](https://dl.acm.org/doi/10.1145/2168556.2168585)** Lech Swirski, Andreas Bulling, Neil Dodgson. Robust real-time pupil tracking in highly off-axis images. *ETRA 2012: Proceedings of the Symposium on Eye Tracking Research and Applications*. **2012**. https://doi.org/10.1145/2168556.2168585.  **License:** MIT License, Copyright (c) 2014 Lech Swirski ([Link](https://github.com/LeszekSwirski/pupiltracker/blob/master/LICENSE.md))