A VTK interface for the Open Mining Format package (omf
) providing
Python 3D visualization.
Installation is simply:
pip install omfvtk
All necessary dependencies will be installed alongside omfvtk
. Please
note that this package heavily leverages the vtki package.
Be sure to check out the Example Notebook that demos omfvtk
!
Here's an example using the sample data hosted in the OMF repository.
import vtki
import omfvtk
project = omfvtk.load_project('test_file.omf')
project
Once the data is loaded as a vtki.MultiBlock
dataset from omfvtk
, then
that object can be directly used for interactive 3D visualization from vtki
:
project.plot(notebook=False)
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 vtki
to the volumetric data:
thresher = vtki.Threshold(vol, display_params={'show_edges':False})
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', show_edges=False, opacity=0.5)
p.add_mesh(assay, color='blue', line_width=3)
p.add_mesh(dacite, show_edges=False, color='yellow', opacity=0.6)
# Add the bounds axis
p.add_bounds_axes()
And once you like what the render view displays, you can save a screenshot:
p.screenshot('wolfpass.png')