How to Install and Uninstall python3-vedo Package on Kali Linux

Last updated: May 17,2024

1. Install "python3-vedo" package

Please follow the instructions below to install python3-vedo on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-vedo
            
                    
    
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2. Uninstall "python3-vedo" package

This tutorial shows how to uninstall python3-vedo on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-vedo
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-vedo package on Kali Linux

Package: python3-vedo
Source: vedo
Version: 2023.4.6-1
Installed-Size: 4786
Maintainer: Debian Science Maintainers
Architecture: all
Replaces: python3-vtkplotter
Depends: python3-vtk9 | python3-vtk7, python3-numpy, python3-deprecated, python3-pygments, python3:any
Recommends: python3-matplotlib
Suggests: dvipng, texlive-latex-base | texlive, python3-scipy, python3-vedo-examples
Breaks: python3-vtkplotter
Size: 2090040
SHA256: 081071419ba1a2ce066fcba9ff09f8673f3a4e91407d8db8dd868baf6c3ebee5
SHA1: c0206eb495fe026acbb44c21f856dcca714751a9
MD5sum: 6c27a7a605c9e2c9f219fd5f3a6c400b
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.
Description-md5:
Homepage: https://vedo.embl.es/
Section: python
Priority: optional
Filename: pool/main/v/vedo/python3-vedo_2023.4.6-1_all.deb