Deep Transient

This repository contains the model files, solver definitions, and learned weights for the networks described in the following publication:

A Fast Method for Estimating Transient Scene Attributes (Ryan Baltenberger, Menghua Zhai, Connor Greenwell, Scott Workman, Nathan Jacobs), In IEEE Winter Conference on Applications of Computer Vision (WACV), 2016. pdf

@article{baltenberger16transient,
  title = {{A Fast Method for Estimating Transient Scene Attributes}}, 
  author = {Baltenberger, Ryan and Zhai, Menghua and Greenwell, Connor and Workman, Scott and Jacobs, Nathan}, 
  journal = {{IEEE Winter Conference on Applications of Computer Vision (WACV)}}, 
  year = {2016}, 
  volume = {2016}, 
  number = {1}, 
  pages = {8}
}

Getting Started

Download the model weights:

./download_models.sh

Run the example:

python example.py

To suppress Caffe output while running:

python example.py 2>/dev/null

License

This software is released under a creative commons license which allows for personal and research use only. For a commercial license please contact the authors. You can view a license summary here: http://creativecommons.org/licenses/by-nc/4.0/

Contact

Ryan Baltenberger
University of Kentucky
http://cs.uky.edu/~rbalten/