From 6ba50f5706c37a57adf4ec16a4b7ee9c9dceeb7d Mon Sep 17 00:00:00 2001 From: Ben Weinstein Date: Wed, 27 Nov 2019 14:39:16 -0800 Subject: [PATCH 1/4] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 9ce6fa5b..9d5fc844 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,6 @@ # DeepForest +[![Build Status](https://travis-ci.org/weecology/DeepForest.svg?branch=master)](https://travis-ci.org/weecology/DeepForest) [![Build Status](https://travis-ci.org/Weecology/DeepForest.svg?branch=master)](https://travis-ci.org/Weecology/DeepForest) [![Documentation Status](https://readthedocs.org/projects/deepforest/badge/?version=latest)](http://deepforest.readthedocs.io/en/latest/?badge=latest) From e13fbdaf60ed0454f04d30796ff135d5c2e0ec02 Mon Sep 17 00:00:00 2001 From: Ben Weinstein Date: Wed, 27 Nov 2019 14:39:30 -0800 Subject: [PATCH 2/4] Update README.md --- README.md | 1 - 1 file changed, 1 deletion(-) diff --git a/README.md b/README.md index 9d5fc844..cf509e29 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,6 @@ # DeepForest [![Build Status](https://travis-ci.org/weecology/DeepForest.svg?branch=master)](https://travis-ci.org/weecology/DeepForest) -[![Build Status](https://travis-ci.org/Weecology/DeepForest.svg?branch=master)](https://travis-ci.org/Weecology/DeepForest) [![Documentation Status](https://readthedocs.org/projects/deepforest/badge/?version=latest)](http://deepforest.readthedocs.io/en/latest/?badge=latest) 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. From 1ce0477114f865f865fd587d97b6d01cc2e8d2b2 Mon Sep 17 00:00:00 2001 From: Ben Weinstein Date: Wed, 27 Nov 2019 14:41:08 -0800 Subject: [PATCH 3/4] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index cf509e29..56e693e7 100644 --- a/README.md +++ b/README.md @@ -5,6 +5,8 @@ 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. +![test image](www/image.png) + ## Installation DeepForest can be installed from source using the github repository. @@ -62,8 +64,6 @@ image = test_model.predict_image(image_path = image_path) plt.imshow(image[...,::-1]) ``` -![test image](www/image.png) - ## Training DeepForest allows training through a keras-retinanet CSV generator. Input files must be formatted, without a header, in the following format: From 3e3b5430d3bd6bd7ef441a1e5b7ad7c7016ed1bb Mon Sep 17 00:00:00 2001 From: Ben Weinstein Date: Wed, 27 Nov 2019 14:41:35 -0800 Subject: [PATCH 4/4] Update README.md --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index 56e693e7..56049c35 100644 --- a/README.md +++ b/README.md @@ -5,8 +5,6 @@ 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. -![test image](www/image.png) - ## Installation DeepForest can be installed from source using the github repository. @@ -63,6 +61,7 @@ image = test_model.predict_image(image_path = image_path) #Show image, matplotlib expects RGB channel order, but keras-retinanet predicts in BGR plt.imshow(image[...,::-1]) ``` +![test image](www/image.png) ## Training