Metadata-Version: 2.1
Name: deepforest
Version: 1.4.0.dev0
Summary: Tree crown prediction using deep learning retinanets
Home-page: https://github.com/Weecology/DeepForest
Author: Ben Weinstein
License: MIT
Requires-Python: >3.5
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License-File: LICENSE
License-File: AUTHORS.rst
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# Deepforest

## Full documentation
[http://deepforest.readthedocs.io/en/latest/](http://deepforest.readthedocs.io/en/latest/)

## Installation

Compiled wheels have been made for linux, osx and windows

```
#Install DeepForest
pip install deepforest
```

## Get in touch
See the [GitHub Repo](https://github.com/Weecology/DeepForest) to see the
source code or submit issues and feature requests.

## Citation

Most usage of DeepForest should cite two papers.

The first is the DeepForest paper, which describes the package:

[Weinstein, B.G., Marconi, S., Aubry‐Kientz, M., Vincent, G., Senyondo, H. and White, E.P., 2020. DeepForest: A Python package for RGB deep learning tree crown delineation. Methods in Ecology and Evolution, 11(12), pp.1743-1751. https://doi.org/10.1111/2041-210X.13472](https://doi.org/10.1111/2041-210X.13472)

The second is the paper describing the model.

For the tree detection model cite:

[Weinstein, B.G.; Marconi, S.; Bohlman, S.; Zare, A.; White, E.P., 2019. Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks. Remote Sensing 11, 1309 https://doi.org/10.3390/rs11111309](https://doi.org/10.3390/rs11111309)

For the bird detection model cite:

[Weinstein, B.G., L. Garner, V.R. Saccomanno, A. Steinkraus, A. Ortega, K. Brush, G.M. Yenni, A.E. McKellar, R. Converse, C.D. Lippitt, A. Wegmann, N.D. Holmes, A.J. Edney, T. Hart, M.J. Jessopp, R.H. Clarke, D. Marchowski, H. Senyondo, R. Dotson, E.P. White, P. Frederick, S.K.M. Ernest. 2022. A general deep learning model for bird detection in high‐resolution airborne imagery. Ecological Applications: e2694 https://doi.org/10.1002/eap.2694](https://doi.org/10.1002/eap.2694)


## Acknowledgments
Development of this software was funded by
[the Gordon and Betty Moore Foundation's Data-Driven Discovery Initiative](http://www.moore.org/programs/science/data-driven-discovery) through
[Grant GBMF4563](http://www.moore.org/grants/list/GBMF4563) to Ethan P. White.
