Metadata-Version: 2.1
Name: gias3
Version: 3.0.0
Summary: Geometry Image-Analysis Statistics version 3 (GIAS3)
License: Mozilla Public License 2.0 (MPL 2.0)
Keywords: musculoskeletal,modelling
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
License-File: LICENSE
Requires-Dist: gias3.fieldwork
Requires-Dist: gias3.registration
Requires-Dist: gias3.image-analysis
Requires-Dist: gias3.learning
Requires-Dist: gias3.mesh
Provides-Extra: apps
Requires-Dist: gias3.applications ; extra == 'apps'
Provides-Extra: examples
Requires-Dist: gias3.examples ; extra == 'examples'
Provides-Extra: io
Requires-Dist: gias3.io ; extra == 'io'
Provides-Extra: mapclient
Requires-Dist: gias3.mapclientpluginutilities ; extra == 'mapclient'
Provides-Extra: musculoskeletal
Requires-Dist: gia3.musculoskeletal ; extra == 'musculoskeletal'
Provides-Extra: tests
Requires-Dist: gias3.testing ; extra == 'tests'
Provides-Extra: vis
Requires-Dist: gias3.visualisation ; extra == 'vis'

GIAS3 (Geometry Image-Analysis Statistics)
==========================================

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.

Installation order
------------------

- gias3.common
- gias3.fieldwork
- gias3.registration
- gias3.learning
- gias3.image-analysis
- gias3.mesh
- gias3.io
- gias3.examples
- gias3.applications
- gias3.mapclientpluginutilities
- gias3.testing
- gias3.musculoskeletal (requires: OpenSIM)

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. Install GIAS 3

   ::

       pip install gias3

Windows
~~~~~~~

1. The most painless way to install the python dependencies required by
   GIAS3 is to install the umbrella package
   `Anaconda <https://www.continuum.io/downloads>`__.
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 GIAS3 can be found in the
gias3/examples/ directory. We are working to add more examples.

Tutorials
---------

-  `Using GIAS3 with MAP Client for lower limb model
   generation <http://map-client-fai-workshop.readthedocs.io/en/latest/>`__
-  `Using GIAS3 for statistical shape
   modelling <http://gias3-shape-modelling-tutorial.readthedocs.io/en/latest/>`__

License
-------

GIAS3 is under the `Mozilla Public license
2.0 <https://www.mozilla.org/en-US/MPL/2.0/>`__.
