Cyclone Wind Estimation Model Docker Image

This repository contains code and instructions for creating a Docker image based on the Tropical Cyclone Wind Estimation model that can be used to generate predictions from new input data. This model was trained on the Tropical Cyclone Wind Estimation Competition dataset using the Torchgeo package.

This Docker image is available on DockerHub as radiantearth/cyclone-model-torchgeo.

Citation

Caleb Robinson. (2021). Tropical Cyclone Wind Estimation model (2.0). Zenodo. https://doi.org/10.5281/zenodo.5773331.

Create Docker Image

$ docker build -t cyclone-model-torchgeo:1 docker

Run Docker Image

Using docker run:

docker run -it --rm -v $PWD/data/input:/var/data/input -v $PWD/data/output:/var/data/output cyclone-model-torchgeo:1

or using Docker Compose:

export INPUT_DATA=$PWD/data/input;
export OUTPUT_DATA=$PWD/data/output;
docker-compose -f inferencing.yml run inference