Metadata-Version: 2.1
Name: deepforest
Version: 1.2.1
Summary: Tree crown prediction using deep learning retinanets
Home-page: https://github.com/Weecology/DeepForest
Author: Ben Weinstein
License: MIT
Platform: UNKNOWN
Requires-Python: >3.5
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS.rst
Requires-Dist: torch
Requires-Dist: torchvision (>0.9.0)
Requires-Dist: matplotlib
Requires-Dist: Pillow (>6.2.0)
Requires-Dist: pandas
Requires-Dist: progressbar2
Requires-Dist: six
Requires-Dist: scipy (>1.5)
Requires-Dist: slidingwindow
Requires-Dist: geopandas
Requires-Dist: rasterio
Requires-Dist: rtree
Requires-Dist: pytorch-lightning
Requires-Dist: tqdm
Requires-Dist: xmltodict
Requires-Dist: numpy
Requires-Dist: imagecodecs
Requires-Dist: albumentations


# 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
If you use this software in your research please cite it as:

Geographic Generalization in Airborne RGB Deep Learning Tree Detection
Ben. G. Weinstein, Sergio Marconi, Stephanie A. Bohlman, Alina Zare, Ethan P. White
bioRxiv 790071; doi: https://doi.org/10.1101/790071


## 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.