This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln La
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protopnet's Introduction
# ProtoPNet (Fork)
This is a fork of the [ProtoPNet](https://github.com/cfchen-duke/ProtoPNet) project, which implements the prototypical part network described in the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (NeurIPS 2019) by Chaofan Chen, Oscar Li, Chaofan Tao, Alina Jade Barnett, Jonathan Su, and Cynthia Rudin.
The original code package was developed by the authors at Duke University and licensed under the MIT License.
## Purpose of this Fork
The purpose of this fork is to reproduce the same augmentation process as in the original paper.
## Original README
https://github.com/cfchen-duke/ProtoPNet/blob/master/README.txt
## License
This project is licensed under the MIT License - see the [LICENSE](https://github.com/cfchen-duke/ProtoPNet/blob/master/LICENSE) file for details.
## Acknowledgments
- Thanks to Chaofan Chen, Oscar Li, Chaofan Tao, Alina Jade Barnett, Jonathan Su, and Cynthia Rudin for their valuable work and for creating the original project.