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
If you would like to use in-built visualisation modules, first install Mayavi for you distribution, else you can skip this step.
Install VTK and VTK python bindings (e.g. through your package manager). VTK 5.10 is the most stable in my experience with Mayavi.
Install mayavi through your package manager (e.g. sudo apt-get install mayavi2) or pip (e.g. pip install –user mayavi)
Download the wheel and
pip install --user [path/to/wheel]
Windows
The most painless way to install the python dependencies required by GIAS2 is to install the umbrella package Anaconda.
If you would like to use in-built visualisation modules, install Mayavi. In you installed Anaconda, from the Anaconda commandline,
conda install mayavi
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.
Metadata
Release files for gias2 0.7.14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gias2-0.7.14-py3-none-any.whl | Python 3 | none | any | Details |
Release files / gias2-0.7.14-py3-none-any.whl
| Download URL | gias2-0.7.14-py3-none-any.whl |
|---|---|
| Size | 7.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c02db804f05f6bcd79c7dea3cc80c7315b4754657b836881e42686bd1a0be622
|
|
BLAKE2b-256 checksum How to use checksums |
75983f4a010db5e69ed3c4ec7f6177056930f25c088ff8d63a0345ffaa567b6b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10
|
Security for gias2 0.7.14
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.