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        "author": "William Silversmith (maintainer), Aleks Zlateski (original author)",
        "author_email": "ws9@princeton.edu",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
            "Programming Language :: Python :: 3.9",
            "Topic :: Multimedia :: Graphics :: 3D Modeling",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Visualization",
            "Topic :: Utilities"
        ],
        "description": "## zmesh: Multi-Label Marching Cubes &amp; Mesh Simplification\n[![Tests](https://github.com/seung-lab/zmesh/actions/workflows/test.yml/badge.svg?branch=master)](https://github.com/seung-lab/zmesh/actions/workflows/test.yml) [![PyPI version](https://badge.fury.io/py/zmesh.svg)](https://badge.fury.io/py/zmesh)  \n\n```python\nfrom zmesh import Mesher\n\nlabels = ... # some dense volumetric labeled image\nmesher = Mesher( (4,4,40) ) # anisotropy of image\n\n# initial marching cubes pass\n# close controls whether meshes touching\n# the image boundary are left open or closed\nmesher.mesh(labels, close=False) \n\nmeshes = []\nfor obj_id in mesher.ids():\n  meshes.append(\n    mesher.get_mesh(\n      obj_id, \n      normals=False, # whether to calculate normals or not\n\n      # tries to reduce triangles by this factor\n      # 0 disables simplification\n      simplification_factor=100, \n\n      # Max tolerable error in physical distance\n      max_simplification_error=8,\n      # whether meshes should be centered in the voxel\n      # on (0,0,0) [False] or (0.5,0.5,0.5) [True]\n      voxel_centered=False, \n    )\n  )\n  mesher.erase(obj_id) # delete high res mesh\n\nmesher.clear() # clear memory retained by mesher\n\nmesh = meshes[0]\nmesh = mesher.simplify(\n  mesh, \n  # same as simplification_factor in get_mesh\n  reduction_factor=100, \n  # same as max_simplification_error in get_mesh\n  max_error=40, \n  compute_normals=False, # whether to also compute face normals\n) # apply simplifier to a pre-existing mesh\n\n# compute normals without simplifying\nmesh = mesher.compute_normals(mesh) \n\nmesh.vertices\nmesh.faces \nmesh.normals\nmesh.triangles() # compute triangles from vertices and faces\n\n# Extremely common obj format\nwith open('iconic_doge.obj', 'wb') as f:\n  f.write(mesh.to_obj())\n\n# Common binary format\nwith open('iconic_doge.ply', 'wb') as f:\n  f.write(mesh.to_ply())\n\n# Neuroglancer Precomputed format\nwith open('10001001:0', 'wb') as f:\n  f.write(mesh.to_precomputed())\n```\n\n## Installation \n\nIf binaries are available for your system:\n\n```bash\npip install zmesh\n```\n\n*Requires a C++ compiler and boost*\n\nNote that you may need to set the environment variable `BOOST_ROOT`.\n\n```bash\nsudo apt-get install python3-dev libboost-all-dev\npip install zmesh --no-binary :all:\n```\n\n## Performance Tuning\n\n- The mesher will consume about double memory in 64 bit mode if the size of the \nobject exceeds <1023, 1023, 511> on the x, y, or z axes. This is due to a limitation \nof the 32-bit format. \n- The mesher is ambidextrous, it can handle C or Fortran order arrays.\n- The maximum vertex range supported `.simplify` after converting to voxel space is 2<sup>20</sup> (appx. 1M) due to the packed 64-bit vertex format.\n\n## Related Projects \n\n- [zi_lib](https://github.com/zlateski/zi_lib) - zmesh makes heavy use of Aleks' C++ library.\n- [Igneous](https://github.com/seung-lab/igneous) - Visualization of connectomics data using cloud computing.\n\n## Credits\n\nThanks to Aleks Zlateski for creating and sharing this beautiful mesher.  \n\nLater changes by Will Silversmith, Nico Kemnitz, and Jingpeng Wu. \n\n## References  \n\n1. 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. ([link](https://people.eecs.berkeley.edu/~jrs/meshpapers/LorensenCline.pdf))  \n2. M. Garland and P. Heckbert. \"Surface simplification using quadric error metrics\". SIGGRAPH '97: Proceedings of the 24th annual conference on Computer graphics and interactive techniques. Pages 209\u2013216. August 1997. doi: 10.1145/258734.258849 ([link](https://mgarland.org/files/papers/quadrics.pdf))  \n3. H. Hoppe. \"New Quadric Metric for Simplifying Meshes with Appearance Attributes\". IEEE Visualization 1999 Conference. pp. 59-66. doi: 10.1109/VISUAL.1999.809869 ([link](http://hhoppe.com/newqem.pdf))\n\n\n\n",
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