setup.py

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import os
import subprocess
import setuptools
from distutils.core import setup, Extension

import numpy as np

_VERSION = '0.1.1'

cwd = os.path.dirname(os.path.abspath(__file__))
subprocess.check_output(["bash", "models/graph/cmu/download.sh"], cwd=cwd)

POSE_DIR = os.path.realpath(os.path.dirname(__file__))

REQUIRED_PACKAGES = [
    'argparse>=1.1',
    'dill==0.2.7.1',
    'fire >= 0.1.3',
    'matplotlib >= 2.2.2',
    'psutil >= 5.4.5',
    'requests >= 2.18.4',
    'scikit-image >= 0.13.1',
    'scipy >= 1.1.0',
    'slidingwindow >= 0.0.13',
    'tqdm >= 4.23.4',
    'tensorpack >= 0.8.5',
]

DEPENDENCY_LINKS = [
    'git+https://github.com/tensorpack/tensorpack#egg=tensorpack'
]

EXT = Extension('_pafprocess',
                sources=[
                    'tf_pose/pafprocess/pafprocess_wrap.cpp',
                    'tf_pose/pafprocess/pafprocess.cpp',
                ],
                swig_opts=['-c++'],
                include_dirs=[np.get_include()])

setuptools.setup(
    name='tf-pose',
    version=_VERSION,
    description=
    'Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.',
    install_requires=REQUIRED_PACKAGES,
    dependency_links=DEPENDENCY_LINKS,
    url='https://github.com/human-motion-detection/tf-pose-estimation',
    author='Ildoo Kim',
    author_email='ildoo@ildoo.net',
    license='Apache License 2.0',
    package_dir={'tf_pose_data': 'models'},
    packages=['tf_pose_data'] +
             [pkg_name for pkg_name in setuptools.find_packages()  # main package
              if 'tf_pose' in pkg_name],
    ext_modules=[EXT],
    package_data={'tf_pose_data': ['graph/cmu/graph_opt.pb',
                                   'graph/mobilenet_thin/graph_opt.pb']},
    py_modules=[
        "pafprocess"
    ],
    zip_safe=False)