pyvista.examples.downloads.download_owl#
- download_owl(load=True, *, high_resolution=False)[source]#
Download a scan of an owl statue 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 24 thousand cells is now returned. Previously, a high-resolution version with 2.4 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_owl() >>> cpos = [ ... (-315.18, -402.21, 230.71), ... (6.06, -1.74, 101.48), ... (0.108, 0.226, 0.968), ... ] >>> mesh.plot(cpos=cpos)
Return the statistics of the dataset.
>>> mesh PolyData (...) N Cells: 24407 N Points: 12442 N Strips: 0 X Bounds: -5.834e+01, 7.048e+01 Y Bounds: -7.005e+01, 6.657e+01 Z Bounds: 1.814e+00, 2.013e+02 N Arrays: 0
See also
- Owl Dataset
See this dataset in the Dataset Gallery for more info.