majewm/vedo

vedo is a lightweight and powerful python module for scientific analysis and visualization of 3d objects.

✨ Philosophy

Inspired by the vpython manifesto "3D programming for ordinary mortals", vedo makes it easy to work with three-dimensional meshes and volumes, creating displays and animations in just a few lines of code, even for less experienced programmers.

vedo is based on numpy and VTK, with no other dependencies.

💾 Installation

pip install vedo

additional installation details (click to expand)

As some of the features work better and faster on the older VTK version 8 you can install it via:
pip install vtk==8.1.2
To get the latest dev version of vedo use instead:
pip install -U git+https://github.com/marcomusy/vedo.git
Or install it from the conda-forge channel via:
conda install -c conda-forge vedo

📌 Done? Run any of the built-in examples. In a terminal, type e.g.:

vedo -r covid19

Visualize a file from web URL (or your dropbox!), type:

vedo https://vedo.embl.es/examples/data/panther.stl.gz

📙 Documentation

The webpage of the library with documentation is available here.

📌 Need help? Have any question, or wish to ask for a missing feature? Do not hesitate to open a issue (or send an email).

🎨 Features

The vedo library includes a large set of working examples for a wide range of functionalities:

working with polygonal meshes and point clouds (click to expand)

Import meshes from VTK format, STL, Wavefront OBJ, 3DS, Dolfin-XML, Neutral, GMSH, OFF, PCD (PointCloud),

Export meshes as ASCII or binary to VTK, STL, OBJ, PLY ... formats.

Analysis tools like Moving Least Squares, mesh morphing and more..

Tools to visualize and edit meshes (cutting a mesh with another mesh, slicing, normalizing, moving vertex positions, etc..).

Split mesh based on surface connectivity. Extract the largest connected area.

Calculate areas, volumes, center of mass, average sizes 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 of a mesh.

Create primitive shapes: spheres, arrows, cubes, torus, ellipsoids...

Generate glyphs (associate a mesh to every vertex of a source mesh).

Create animations easily by just setting the position of the displayed objects in the 3D scene. Add trailing lines and shadows to moving objects is supported.

Straightforward support for multiple sync-ed or independent renderers in the same window.

Registration (alignment) of meshes with different techniques.

Mesh smoothing.

Delaunay triangulation in 2D and 3D.

Generate meshes by joining nearby lines in space.

Find the closest path from one point to another, traveling along the edges of a mesh.

Find the intersection of a mesh with lines, planes or other meshes.

Interpolate scalar and vectorial fields with Radial Basis Functions and Thin Plate Splines.

Add sliders and buttons to interact with the scene and the individual objects.

Visualization of tensors.

Analysis of Point Clouds:

Moving Least Squares smoothing of 2D, 3D and 4D clouds

Fit lines, planes, spheres and ellipsoids in space

Identify outliers in a distribution of points

Decimate a cloud to a uniform distribution.

working with volumetric data and tetrahedral meshes

Import data from VTK format volumetric TIFF stacks, DICOM, SLC, MHD and more

Import 2D images as PNG, JPEG, BMP

Isosurfacing of volumes

Composite and maximum projection volumetric rendering

Generate volumetric signed-distance data from an input surface mesh

Probe volumes with lines and planes

Generate stream-lines and stream-tubes from vectorial fields

Slice and crop volumes

Support for other volumetric structures (structured and grid data)

plotting and histogramming in 2D and 3D

Polygonal 3D text rendering with Latex-like syntax and unicode characters, with 14 different fonts.

Fully customizable axis styles

donut plots and pie charts

Scatter plots in 2D and 3D

Surface function plotting

1D customizable histograms

2D hexagonal histograms

Polar plots, spherical plots and histogramming

Draw latex-formatted formulas in the rendering window.

Quiver, violin, whisker and stream-line plots

Graphical markers analogous to matplotlib

integration with other libraries

Integration with the Qt5 framework.

Support for FEniCS/Dolfin platform for visualization of PDE/FEM solutions.

Interoperability with the trimesh and pyvista libraries.

Export 3D scenes and embed them into a web page.

Embed 3D scenes in jupyter notebooks with K3D (can export an interactive 3D-snapshot page here).

⌨ Command Line Interface

Visualize a polygonal mesh from a terminal window simply with e.g.:

vedo my_mesh.obj

Volumetric files (mhd, vti, slc, tiff, DICOM etc..) can be visualized in different modes:

Volume 3D slicing `vedo --slicer embryo.slc`	Ray-casting `vedo -g`	2D slicing `vedo --slicer2d`	Colorize voxels `vedo --lego`

Type vedo -h for the complete list of options.

🐾 Examples

vedo currently includes 300+ working examples and notebooks.



Easily work with volumes, tetrahedral and polygonal meshes.	Turing system of reaction-diffusion between two molecules.	Quantum-tunnelling of a particle in a box hitting a sinusoidal potential.

Interoperability with external libraries like trimesh.	Support for the FEniCS/Dolfin library for PDE and finite element solutions.	Advanced 2D/3D histogramming and plotting capablities.

Galleries

Check out the example galleries organized by subject here:

📜 References

Scientific publications leveraging vedo (formerly known as vtkplotter):

X. Diego et al.: "Key features of Turing systems are determined purely by network topology", Physical Review X, 20 June 2018.
M. Musy, K. Flaherty et al.: "A Quantitative Method for Staging Mouse Limb Embryos based on Limb Morphometry", Development, 5 April 2018, doi: 10.1242/dev.154856.
G. Dalmasso et al., "Evolution in space and time of 3D volumetric images", in preparation.
F. Claudi, A. L. Tyson, T. Branco, "Brainrender. A python based software for visualisation of neuroanatomical and morphological data.", DOI.
J. S. Bennett, D. Sijacki, "Resolving shocks and filaments in galaxy formation simulations: effects on gas properties and star formation in the circumgalactic medium", Monthly Notices of the Royal Astronomical Society, Vol. 499, Issue 1, Nov. 2020, DOI.
J.D.P. Deshapriya et al., "Spectral analysis of craters on (101955) Bennu". (DOI: 10.1016/j.icarus.2020.114252)

Have you found this software useful for your research? Star ✨ the project and cite it as:

M. Musy et al., "vedo, a python module for scientific analysis and visualization of 3D objects and point clouds", Zenodo, 2021, doi: 10.5281/zenodo.4287635.

majewm / vedo