Documentation

NAPS documentation can be found at naps.rtfd.io.

Features

• Easy, direct installation across platforms

• Built directly on top of OpenCV and SLEAP with a modular, extensible codebase

• Flexible API that allows drop in of different methods for marker identification

Getting NAPS

conda create -n naps naps-track -c kocherlab -c sleap -c nvidia -c conda-forge

pip install naps-track

References

Manuscript: https://doi.org/10.1101/2022.12.07.518416

If you use NAPS in your research, please cite:

@article{wolf2022naps,
   title={NAPS: Integrating pose estimation and tag-based tracking},
   author={Wolf, Scott W and Ruttenberg, Dee M and Knapp, Daniel Y and Webb, Andrew E and Traniello, Ian M and McKenzie-Smith, Grace C and Leheny, Sophie A and Shaevitz, Joshua W and Kocher, Sarah D},
   journal={bioRxiv},
   year={2022},
   publisher={Cold Spring Harbor Laboratory}
}

Issues

Contributors

• Scott Wolf, Lewis-Sigler Institute for Integrative Genomics, Princeton University

• Dee Ruttenberg, Lewis-Sigler Institute for Integrative Genomics, Princeton University

• Daniel Knapp, Department of Physics, Princeton University

• Andrew Webb, Department of Ecology and Evolutionary Biology and Lewis-Sigler Institute for Integrative Genomics, Princeton University

• Ian Traniello, Lewis-Sigler Institute for Integrative Genomics, Princeton University

• Grace McKenzie-Smith, Department of Physics and Lewis-Sigler Institute for Integrative Genomics, Princeton University

• Sophie Leheny, Department of Molecular Biology, Princeton University

• Joshua Shaevitz, Department of Physics and Lewis-Sigler Institute for Integrative Genomics, Princeton University

• Sarah Kocher, Department of Ecology and Evolutionary Biology and Lewis-Sigler Institute for Integrative Genomics, Princeton University

NAPS was created in the Kocher and Shaevitz labs at Princeton University.

License

NAPS is licensed under the MIT license. See the LICENSE file for details.

Acknowledgements

Much of the structure and content of the README and the documentation is borrowed from the SLEAP repository.