The goal for this right now is to develop a workflow for developing training data from ERI using open street map or other publicly available building footprints.
Then use those images to train models using the Segmentation gym workflow.
(another example of a basic unet with INRIA data is here: https://github.com/ebgoldstein/BuildingUNET)
conda create -n ENV python=3.10
conda activate ENV
conda install -c conda-forge rasterio geopandas pandas numpy scikit-learn scikit-image matplotlib notebook tqdm -y
Note that an environment.yml
is also included in the repository.