Skip to main content

A library of musculoskeletal modelling tools.

Project description

A Python library for tools used in musculoskeletal modelling. Includes tools for parametric meshing, registration, image analysis, statistical shape modelling, and 3-D visualisation using Mayavi.

Optional dependencies

  • VTK and VTK Python bindings (for mesh processing)

  • Mayavi (for 3-D visualisation, requires Numpy, VTK, wxPython, configobj)

  • PyCSG (for generating constructive solids)

  • pydicom (for reading DICOM images)

  • Cython (speeds up active shape model and random forest segmentation)

  • matplotlib for some inbuilt plotting functions

Installation

Linux

  1. If you would like to use in-built visualisation modules, first install Mayavi for you distribution, else you can skip this step.

    1. Install VTK and VTK python bindings (e.g. through your package manager). VTK 5.10 is the most stable in my experience with Mayavi.

    2. Install mayavi through your package manager (e.g. sudo apt-get install mayavi2) or pip (e.g. pip install –user mayavi)

  2. Download the wheel and

    pip install --user [path/to/wheel]

Windows

  1. The most painless way to install the python dependencies required by GIAS2 is to install the umbrella package Anaconda.

  2. If you would like to use in-built visualisation modules, install Mayavi. In you installed Anaconda, from the Anaconda commandline,

    conda install mayavi
  3. Download the wheel and from the Anaconda commandline

    pip install --user [path/to/wheel]

Examples

Example of some the capabilities of GIAS2 can be found in the gias2/examples/ directory. We are working to add more examples.

Tutorials

License

GIAS2 is under the Mozilla Public license 2.0.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

gias2-0.7.13-py3-none-any.whl (7.5 MB view details)

Uploaded Python 3

File details

Details for the file gias2-0.7.13-py3-none-any.whl.

File metadata

  • Download URL: gias2-0.7.13-py3-none-any.whl
  • Upload date:
  • Size: 7.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for gias2-0.7.13-py3-none-any.whl
Algorithm Hash digest
SHA256 d8d0ec595e059aba7cccd8ff2d18524c2d3004a950b9d49f2d256233eb08541b
MD5 9eabb9e49061b891235bf6c2dc08c9de
BLAKE2b-256 7cb0c2ec40ca0d3c5871337007f97098d2da67f3a1f73b240cc161b19dd9f4d2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page