This is a python implementation of Neural Networks for Microcontrollers (nn4mc) (originally implemented in C++) that allows for the translation of trained neural network models to C code for use in embedded systems.

Please note that nn4mc_py is still in development and may have many bugs. We are working hard on getting everything operating seamlessly, and feel free to reach out with any questions.

Simply use the Python package manager pip and run the following command.

pip install nn4mc

You will most likely only need to import the translator module

import nn4mc.translator as nnTr

Then you can translate a file with the following command

nnTr.translate("path/to/file", 'hdf5', "output/path")

We currently develop instructionals on converting packages from multiple sources to Keras.

Please direct your technical questions to Stack Overflow using the nn4mc tag or e-mail Sarah.AguasvivasManzano@colorado.edu. Also feel free to initiate a new issue in our github repository.

• For bug report or feature requests please submit a GitHub issue.
• For contributions please submit a pull request

We encourage to use the following citation references for academic use of nn4mc.

BibTeX citation:

@misc{nn4mc,
        title={Embedded Neural Networks for Robot Autonomy},
        author={Sarah {Aguasvivas Manzano} and Dana Hughes and Cooper Simpson and Radhen Patel and Nikolaus Correll},
        year={2019},
	note={International Symposium of Robotics Research (ISRR 2019)},
        eprint={1911.03848},
        archivePrefix={arXiv},
        primaryClass={cs.RO}
    }

APA Format:

Manzano, S. A., Hughes, D., Simpson, C., Patel, R., & Correll, N. (2019). Embedded Neural Networks for Robot Autonomy. 
International Symposium of Robotics Research (ISRR 2019). arXiv preprint arXiv:1911.03848. 

nn4mc is supported by the Correll Lab at the University of Colorado Boulder. We also receive support from the Airforce Office of Scientific Research (AFOSR), we are very grateful for this support.