Metadata-Version: 1.1
Name: wavefront_reader
Version: 0.2.1
Summary: A parser for wavefront .obj and .mtl files
Home-page: https://github.com/neuroneuro15/wavefront_reader
Author: Nicholas A. Del Grosso
Author-email: delgrosso@bio.lmu.de
License: MIT license
Description: ===============================
        wavefront_reader
        ===============================
        
        
        .. image:: https://img.shields.io/pypi/v/wavefront_reader.svg
                :target: https://pypi.python.org/pypi/wavefront_reader
        
        .. image:: https://travis-ci.org/neuroneuro15/wavefront_reader.svg?branch=master
                :target: https://travis-ci.org/neuroneuro15/wavefront_reader
        
        .. image:: https://readthedocs.org/projects/wavefront-reader/badge/?version=latest
                :target: https://wavefront-reader.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        .. image:: https://pyup.io/repos/github/neuroneuro15/wavefront_reader/shield.svg
             :target: https://pyup.io/repos/github/neuroneuro15/wavefront_reader/
             :alt: Updates
        
        A parser for wavefront .obj and .mtl files
        
        
        * Free software: MIT license
        * Documentation: https://wavefront-reader.readthedocs.io.
        
        
        Features
        --------
        
        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
        ---------
        
        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
        
        
        
        =======
        History
        =======
        
        0.1.0 (2017-01-18)
        ------------------
        
        * First release on PyPI.
        
Keywords: wavefront_reader
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
