pyvista.examples.downloads.download_black_vase#
- download_black_vase(load=True, *, high_resolution=False)[source]#
Download a black vase scan created by Ivan Nikolov.
The dataset was downloaded from GGG-BenchmarkSfM: Dataset for Benchmarking Close-range SfM Software Performance under Varying Capturing Conditions
Original datasets are under the CC BY 4.0 license.
For more details, see Ivan Nikolov Datasets
Changed in version 0.45: A decimated version of this dataset with 31 thousand cells is now returned. Previously, a high-resolution version with 3.1 million cells was returned. Use
high_resolution=True
for the high-resolution version.- Parameters:
- loadbool, default:
True
Load the dataset after downloading it when
True
. Set this toFalse
and only the filename will be returned.- high_resolutionbool, default:
False
Set this to
True
to return a high-resolution version of this dataset. By default, adecimated
version is returned with 99% reduction.Added in version 0.45.
- loadbool, default:
- Returns:
pyvista.PolyData
|str
DataSet or filename depending on
load
.
Examples
Download and plot the dataset.
>>> from pyvista import examples >>> mesh = examples.download_black_vase() >>> mesh.plot()
Return the statistics of the dataset.
>>> mesh PolyData (...) N Cells: 31366 N Points: 17337 N Strips: 0 X Bounds: -1.091e+02, 1.533e+02 Y Bounds: -1.200e+02, 1.416e+02 Z Bounds: 1.667e+01, 4.078e+02 N Arrays: 0
See also
- Black Vase Dataset
See this dataset in the Dataset Gallery for more info.