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,
 python3,
 python3-setuptools,
 python3-vtk9 (<< 9.1.1) | python3-vtk7,
 python3-numpy,
 python3-deprecated,
 python3-pygments
Standards-Version: 4.6.2
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-vtk9 | python3-vtk7,
 python3-numpy,
 ${python3:Depends}, ${misc:Depends}
Breaks: python3-vtkplotter
Replaces: python3-vtkplotter
Recommends: python3-matplotlib
Suggests: dvipng, texlive-latex-base | texlive,
 python3-scipy,
 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.