rjrj3636/cw-geodata

CosmiQ Works Geospatial Processing Toolkit for Machine Learning

This repository is no longer being updated. Future development of code tools for geospatial machine learning analysis will be done at https://github.com/cosmiq/solaris.

CosmiQ Works Geospatial Data Processing Tools for ML

This package is currently under active development. Check back soon for a mature version.

• Installation Instructions
• API Documentation
• Dependencies
• License

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This package is built to:

• Enable management and interconversion of geospatial data files without requiring understanding of coordinate reference systems, geospatial transforms, etc.
• Enable creation of training targets for segmentation and object detection from geospatial vector data (i.e. geojsons of labels) without requiring understanding of ML training target formats.

Installation Instructions

Several packages require binaries to be installed before pip installing the other packages. We recommend creating a conda environment and installing dependencies there from environment.yml, then using pip to install this package.

First, clone this repo to your computer and navigate into the folder:

git clone https://github.com/cosmiq/cw-geodata.git
cd cw-geodata

Next, create a conda environment with dependencies installed as defined in the environment.yml file.

conda env create -f environment.yml
source activate cw-geodata

Finally, use pip to install this package.

pip install .

For bleeding-edge versions (use at your own risk), pip install from the dev branch of this repository:

pip install --upgrade git+https://github.com/CosmiQ/cw-geodata.git@dev

API Documentation

API documentation can be found here

Dependencies

All dependencies can be found in environment.yml

License

See LICENSE.