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Merge branch 'master' of github.com:weecology/DeepForest
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README.md

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# DeepForest
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[![Build Status](https://travis-ci.org/Weecology/DeepForest.svg?branch=master)](https://travis-ci.org/Weecology/DeepForest)
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[![Build Status](https://travis-ci.org/weecology/DeepForest.svg?branch=master)](https://travis-ci.org/weecology/DeepForest)
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[![Documentation Status](https://readthedocs.org/projects/deepforest/badge/?version=latest)](http://deepforest.readthedocs.io/en/latest/?badge=latest)
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DeepForest is a python package for training and predicting individual tree crowns from airborne RGB imagery. DeepForest comes with a prebuilt model trained on data from the National Ecological Observation Network. Users can extend this model by annotating and training custom models starting from the prebuilt model.
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#Show image, matplotlib expects RGB channel order, but keras-retinanet predicts in BGR
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plt.imshow(image[...,::-1])
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```
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![test image](www/image.png)
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## Training

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