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Description: # zmesh
Multi-Label Marching Cubes & Simplification

```python
from zmesh import Mesher

labels = ... # some dense volumetric labeled image
mesher = Mesher( (4,4,40) ) # anisotropy of image
mesher.mesh(labels) # initial marching cubes pass

meshes = []
for obj_id in mesher.ids():
meshes.append(
mesher.get_mesh(
obj_id,
normals=False, # whether to calculate normals or not

# tries to reduce triangles by this factor
# 0 disables simplification
simplification_factor=100,

# Max tolerable error in physical distance
max_simplification_error=8
)
)
mesher.erase(obj_id) # delete high res mesh

mesher.clear() # clear memory retained by mesher
```

## Installation

```bash
pip install zmesh
```

## Performance Tuning

- The mesher will consume about double memory in 64 bit mode if the size of the
object exceeds <511, 1023, 511> on the x, y, or z axes. This is due to a limitation
of the 32-bit format. It might be possible to get x to 1023 as well.


## Credits

Thanks to Aleks Zlateski for creating and sharing this beautiful mesher.

Later changes by Will Silversmith and Nico Kemnitz.

## References

1. W. Lorensen and H. Cline. "Marching Cubes: A High Resolution 3D Surface Construction Algorithm". pp 163-169. Computer Graphics, Volume 21, Number 4, July 1987.
2. TK Quadratic Edge Collapse Paper


Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Utilities
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Multimedia :: Graphics :: 3D Modeling

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