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Source: vedo
Section: python
Priority: optional
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Drew Parsons <dparsons@debian.org>
Build-Depends: debhelper-compat (= 13),
dh-python,
pybuild-plugin-pyproject,
python3,
python3-setuptools,
python3-vtk9,
python3-numpy,
python3-deprecated,
python3-pygments,
python3-scipy,
python3-typing-extensions
Standards-Version: 4.7.0
Homepage: https://vedo.embl.es/
Vcs-Browser: https://salsa.debian.org/science-team/vedo
Vcs-Git: https://salsa.debian.org/science-team/vedo.git
Package: python3-vedo
Architecture: all
Depends: ${python3:Depends}, ${misc:Depends}
Breaks: python3-vtkplotter
Replaces: python3-vtkplotter
Recommends: python3-scipy, python3-matplotlib
Suggests: dvipng, texlive-latex-base | texlive,
python3-vedo-examples
Description: Python module for 3D scientific visualization with VTK
A Python module for scientific visualization, analysis and animation
of 3D objects and point clouds based on VTK and numpy.
.
Intuitive and straightforward API which can be combined with VTK
seamlessly in a program, whilst maintaining access to the full range
of VTK native classes.
.
It includes a large set of working examples for the all following
functionalities:
.
* Import meshes from VTK format, STL, Wavefront OBJ, 3DS, XML,
Neutral, GMSH, OFF, PCD (PointCloud), volumetric TIFF stacks, SLC,
MHD, 2D images PNG, JPEG.
* Export meshes as ASCII or binary to VTK, STL, OBJ, PLY formats.
* Mesh analysis through the built-in methods of VTK package.
Additional analysis tools like Moving Least Squares, mesh
morphing.
* Tools to visualize and edit meshes (cutting a mesh with another
mesh, slicing, normalizing, moving vertex positions, etc..).
Interactive cutter widget.
* Split mesh based on surface connectivity. Extract the largest
connected area.
* Calculate mass properties, like area, volume, center of mass,
average size etc.
* Calculate vertex and face normals, curvatures, feature edges.
Fill mesh holes.
* Subdivide faces of a mesh, increasing the number of vertex
points. Mesh simplification.
* Coloring and thresholding of meshes based on associated scalar
or vectorial data.
* Point-surface operations: find nearest points, determine if a
point lies inside or outside a mesh.
* Create primitive objects like: spheres, arrows, cubes, torus,
ellipsoids...
* Generate glyphs (associating a mesh to each vertex of a source
mesh).
* Create animations easily by just defining the position of the
displayed objects in the 3D scene. Add trailing lines to moving
objects automatically.
* Straightforward support for multiple sync-ed or independent
renderers in the same window.
* Registration (alignment) of meshes with different techniques.
* Mesh smoothing with Laplacian and WindowedSinc algorithms.
* Delaunay triangulation in 2D and 3D.
* Generate meshes by joining nearby lines in space.
* Find the closest path from one point to another, travelling
along the edges of a mesh.
* Find the intersection of a mesh with a line (or with another
mesh).
* Analysis of Point Clouds:
- Moving Least Squares smoothing of 2D, 3D and 4D clouds
- Fit lines, planes and spheres in space
- Perform PCA (Principal Component Analysis) on point
coordinates
- Identify outliers in a distribution of points
- Decimate a cloud to a uniform distribution.
* Basic histogramming and function plotting in 1D and 2D.
* Interpolate scalar and vectorial fields with Radial Basis
Functions and Thin Plate Splines.
* Analysis of volumetric datasets:
- Isosurfacing of volumes
- Direct maximum projection rendering
- Generate volumetric signed-distance data from an input
surface mesh
- Probe a volume with lines and planes.
* Add sliders and buttons to interact with the scene and the
individual objects.
* Examples using SHTools package for spherical harmonics
expansion of a mesh shape.
* Integration with the Qt5 framework.
* Support for FEniCS/dolfin package.
.
vedo is published in M. Musy et al. "vedo, a Python
module for scientific visualization and analysis of 3D objects and
point clouds based on VTK (Visualization Toolkit)", Zenodo, 10
February 2019, doi:10.5281/zenodo.2561401.
Formerly known as vtkplotter.
.
This package installs the library for Python 3.
It also include vedo and vtkconvert executables.
Package: python3-vedo-examples
Architecture: all
Multi-Arch: foreign
Depends: ${python3:Depends}, ${misc:Depends}
Breaks: python3-vtkplotter-examples
Replaces: python3-vtkplotter-examples
Recommends: python3-vedo
Description: 3D scientific visualization with VTK (examples)
vedo is a Python module for scientific visualization, analysis
and animation of 3D objects and point clouds based on VTK and numpy.
.
Intuitive and straightforward API which can be combined with VTK
seamlessly in a program, whilst maintaining access to the full range
of VTK native classes.
.
vedo is published in M. Musy et al. "vedo, a Python
module for scientific visualization and analysis of 3D objects and
point clouds based on VTK (Visualization Toolkit)", Zenodo, 10
February 2019, doi:10.5281/zenodo.2561401.
Formerly known as vtkplotter.
.
This package installs example scripts.
|
