setup.py

# -*- coding: utf-8 -*-
#
# Copyright (C) 2021 Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (MPG),
# acting on behalf of its Max Planck Institute for Intelligent Systems and the
# Max Planck Institute for Biological Cybernetics. All rights reserved.
#
# Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (MPG) is holder of all proprietary rights
# on this computer program. You can only use this computer program if you have closed a license agreement
# with MPG or you get the right to use the computer program from someone who is authorized to grant you that right.
# Any use of the computer program without a valid license is prohibited and liable to prosecution.
# Contact: ps-license@tuebingen.mpg.de
#
# If you use this code in a research publication please cite the following:
#
# @conference{AMASS:ICCV:2019,
#   title = {{AMASS}: Archive of Motion Capture as Surface Shapes},
#   author = {Mahmood, Naureen and Ghorbani, Nima and Troje, Nikolaus F. and Pons-Moll, Gerard and Black, Michael J.},
#   booktitle = {International Conference on Computer Vision},
#   pages = {5442--5451},
#   month = oct,
#   year = {2019},
#   month_numeric = {10}
# }
#
# You can find complementary content at the project website: https://amass.is.tue.mpg.de/
#
# Code Developed by:
# Nima Ghorbani <https://nghorbani.github.io/>
# Naureen Mahmood <https://ps.is.tuebingen.mpg.de/person/nmahmood>
# Matthew Loper <https://ps.is.mpg.de/~mloper>
# While at Max-Planck Institute for Intelligent Systems, Tübingen, Germany
#
# 2021.06.18

from setuptools import setup, find_packages
from glob import glob

setup(name='moshpp',
      version='3.0',
      packages=find_packages('src'),
      package_dir={'': 'src'},
      include_package_data=True,
      data_files=[('moshpp/support_data', glob('support_data/*.*')),
                  ('moshpp/support_data/conf', glob('support_data/conf/*.*')),
                  ('moshpp/scan2mesh/mesh_distance', glob('src/moshpp/scan2mesh/mesh_distance/*.so')),

                  ],

      author=['Nima Ghorbani', ],
      author_email=['nghorbani@tue.mpg.de'],
      maintainer='Nima Ghorbani',
      maintainer_email='nghorbani@tue.mpg.de',
      url='https://github.com/nghorbani/moshpp',
      description='Solving optical marker-based mocap with millimeter accuracy.',
      license='See LICENSE',
      long_description=open("README.md").read(),
      long_description_content_type="text/markdown",
      install_requires=['numpy', ],
      dependency_links=[
      ],
      classifiers=[
          "Intended Audience :: Research",
          "Natural Language :: English",
          "Operating System :: POSIX",
          "Operating System :: POSIX :: BSD",
          "Operating System :: POSIX :: Linux",
          "Programming Language :: Python",
          "Programming Language :: Python :: 3",
          "Programming Language :: Python :: 3.7", ],
      )