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3D visualization for the Open Mining Format (omf)

Project description

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A VTK interface for the Open Mining Format package (omf) providing Python 3D visualization.


Installation is simply:

pip install omfvista

All necessary dependencies will be installed alongside omfvista. Please note that this package heavily leverages the pyvista package.

Questions & Support

For general use questions, please join @OpenGeoVis on our Slack workspace under the #omfvista channel. To inquire with the creators of omfvista, please email

Example Use

Be sure to check out the Example Notebook that demos omfvista! Here’s an example using the sample data hosted in the OMF repository.

import pyvista
import omfvista

project = omfvista.load_project('test_file.omf')
Table Representation

Once the data is loaded as a pyvista.MultiBlock dataset from omfvista, then that object can be directly used for interactive 3D visualization from pyvista:


Or an interactive scene can be created and manipulated to create a compelling figure directly in a Jupyter notebook. First, grab the elements from the project:

# Grab a few elements of interest and plot em up!
vol = project['Block Model']
assay = project['wolfpass_WP_assay']
topo = project['Topography']
dacite = project['Dacite']

Then apply a filtering tool from pyvista to the volumetric data:

thresher = pyvista.Threshold(vol)
IPython Thresholding Tool

Then you can put it all in one environment!

# Grab the active plotting window
#  from the thresher tool
p = thresher.plotter
# Add our datasets
p.add_mesh(topo, cmap='gist_earth', opacity=0.5)
p.add_mesh(assay, color='blue', line_width=3)
p.add_mesh(dacite, color='yellow', opacity=0.6)
# Add the bounds axis
Interactive Rendering

And once you like what the render view displays, you can save a screenshot:

Wolf Pass Screenshot

Project details

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