A 3D visualisation tool for simulations
Project description
VIVID3D
We present VIVID3D, an innovative method for research using 3D technology.
Overview
VIVID3D is an all new python package for simple scientific visualization and creation of 3D models. Visualize particle simulations or volumetric scans like never before, with Voronoi Tesselation for realistic volume representation in 3D.
VIVID3D was tested in our cosmology research group by producing models from simulations for researchers, supporting new scientific insights about the evolution of galaxies and structures of the Universe.
Features
- Fast execution - C++ wrapped with pybind11
- Smart Isosurfaces - Using a 3D Voronoi Algorithm implementation by Dr. Elad Steinnberg for visualization of volumetric data
- Support for industry standard file formats - Using the Open Asset Import Library
- Point Clouds
- Vector Fields
- Interactive 3D Viewer
- Scientific Analysis of Meshes
Highlights
View the Model Gallery to see what VIVID3D is capable of.
Documentation
Our Documentation is hosted at Read The Docs. This contains usage guides and examples, our API reference, and a gallery of our favourite models.
Installation and Usage
Installation
VIVID3D can be installed from PyPI using pip on Python >= 3.7
pip install vivid3d
This might take a few minutes, and is only tested on linux as of now.
Usage
Learn the fundamentals and advanced model creation examples with the User Guide.
About
Authors
Project Leads
Special Thanks
License
VIVID3D is provided under a BSD-3 license that can be found in the LICENSE file. By using, distributing, or contributing to this project, you agree to the terms and conditions of this license.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file vivid3d-0.3.7.tar.gz
.
File metadata
- Download URL: vivid3d-0.3.7.tar.gz
- Upload date:
- Size: 8.9 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.7.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8b8ef183e6a44308201b1526c39a0209cee598cd98c80803f2df1d73386b7b0a |
|
MD5 | 1c9c8130405958b98f387a86c1fdabcc |
|
BLAKE2b-256 | 694eeb1b55379971c5428f87c01f5663a262c78b6819c943075dd6cd340b0156 |