Installation
Setting up a software environment is a painful experience. GeoDLKit provides several methods to get the environment ready.
The installation process will take roughly 5-10 minutes and may vary depends on the network condition and computer resource.
Via Conda
conda env create -f https://raw.githubusercontent.com/jldz9/geodlkit/refs/heads/master/environment.yml
pip install geodlkit
Via Container
Don't know how to install Docker?
Check Docker install guide
Warning
If you want to activate GPU processing while using docker, using NVIDIA GPUs with CUDA support is necessary.
Additionally, you will need to install NVIDIA Container Toolkit
> Use dockerfile
wget https://raw.githubusercontent.com/jldz9/geodlkit/refs/heads/master/.devcontainer/Dockerfile
docker build -t geodlkit:1.0.0.dev25 .
or in command line:
user:~$ docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
geodlkit 1.0.0.dev25 ba968b128eda About an hour ago 20.5GB
> Use image from Docker Hub
> Use apptainer
Don't know how to install Apptainer?
Check Apptainer install guide
Apptainer is a docker alternative in order to run images on HPC environment, normally you don't need to install it locally.
You can load apptainer by using module load apptainer under HPC environment that runs SLURM workload manager
To pull image from docker hub using apptainer:
Via Source code
If you would like to contribute to this project, thanks in advance!
You can pull the source code from GitHub by:
and then set up the environment by: we also provide devcontainer.json for vscode under .devcontainer directory