weecology/DeepForest-pytorch

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 Observatory Network. Users can extend this model by annotating and training custom models starting from the prebuilt model. The machine learning community is moving more towards pytorch, where many new models can be found. Tree detection is a central task in forest ecology and remote sensing.