semvec/pypi-packages huggingface dataset:
wavefront_reader 0.2.2
A parser for wavefront .obj and .mtl files
License: MIT license
Keywords: wavefront_reader

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wavefront_reader
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A parser for wavefront .obj and .mtl files


* Free software: MIT license
* Documentation: https://wavefront-reader.readthedocs.io.


Features
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Reads out wavefront objects to dictionaries with their attributes, including their materials::

    from wavefront_reader import read_wavefront, read_objfile, read_mtlfile
    geoms = read_wavefront('myObjects.obj')
    cube = geoms['Cube']
    cube_vertices = cube['v']
    cube_diffuse_material = cube['material']['Kd']

The module has a lot of tests, and handles face indexing by re-indexing the vertex, normal, and texcoord arrays
simply by reindexing them into same-length, sequential arrays.  While this reduces the memory benefits of the .obj
format, it makes it much easier to load the data into OpenGL or reindex the data yourself.

Credits
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This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage



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History
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0.1.0 (2017-01-18)
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* First release on PyPI.