qhull
Download : docker pull ghcr.io/autamus/qhull
Compressed Size : 29MB
Description
Qhull computes the convex hull, Delaunay triangulation, Voronoi diagram, halfspace intersection about a point, furt hest-site Delaunay triangulation, and furthest-site Voronoi diagram. The source code runs in 2-d, 3-d, 4-d, and higher dimensions. Qhull implements the Quickhull algorithm for computing the convex hull. It handles roundoff errors from floating point arithmetic. It computes volumes, surface areas, and approximations to the convex hull.
Usage
Pull (Download)
To download the latest version of qhull run,
docker pull ghcr.io/autamus/qhull:latest
or to download a specific version of qhull run,
docker pull ghcr.io/autamus/qhull:2020.1
Run
To run the container as an application run,
docker run --rm ghcr.io/autamus/qhull qhull --version
or to run the container in an interactive session run,
docker run -it --rm ghcr.io/autamus/qhull bash
Mounting volumes between the container and your machine
To access files from your machine within the qhull container you’ll have to mount them using the -v external/path:internal/path
option.
For example,
docker run -v ~/Documents/Data:/Data ghcr.io/autamus/qhull qhull /Data/myData.csv
which will mount the ~/Documents/Data
directory on your computer to the /Data
directory within the container.
HPC
If you’re looking to use this container in an HPC environment we recommend using Singularity-HPC to use the container just as any other module on the cluster. Check out the SHPC qhull container here.