Metadata-Version: 2.1
Name: trimeshpy
Version: 0.0.4
Summary: Triangular Mesh Processing in Python
Home-page: https://github.com/StongeEtienne/trimeshpy
Author: Etienne St-Onge
Author-email: Firstname.Lastname@usherbrooke.ca
License: MIT
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy >=1.24.0
Requires-Dist: scipy >=1.10.0
Requires-Dist: h5py >=3.7.0
Requires-Dist: vtk >=9.2.0
Requires-Dist: tqdm >=4.29.0
Requires-Dist: nibabel >=5.2.0

###########################################################
#   TriMeshPy
###     Triangular Mesh Processing in Python
###     with SciPy sparse matrix representation
###########################################################

### README
Simple triangle mesh processing library in python
using scipy sparse matrix and numpy math functions.

Used for the Surface Flow in Surface-enhanced tractography (SET).

### References
```
[StOnge2018]
  Surface-enhanced tractography (SET).
  St-Onge, E., Daducci, A., Girard, G. and Descoteaux, M.
  NeuroImage, 169, pp.524-539. Elsevier, 2018.
```

