-
Notifications
You must be signed in to change notification settings - Fork 9
/
setup.py
executable file
·97 lines (83 loc) · 3.98 KB
/
setup.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
#!/usr/bin/env python
# encoding: utf-8
# The MIT License
# Copyright (c) 2019 Ina (David Doukhan - http://www.ina.fr/)
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
import os
from setuptools import setup #, find_packages
import versioneer
KEYWORDS = '''
gender-equality
gender-classification'''.strip().split('\n')
CLASSIFIERS=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Operating System :: OS Independent',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3 :: Only',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
# 'Programming Language :: Python :: 3.10', # dependency onnxruntime-gpu does not support Python 3.10 yet
'Topic :: Multimedia :: Video',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Image Processing',
'Topic :: Scientific/Engineering :: Image Recognition',
'Topic :: Sociology',
'Topic :: Software Development',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules',
'Topic :: Sociology',
]
DESCRIPTION='inaFaceAnalyzer is a Python toolbox for large-scale face-based \
analysis of image and video streams. It provides fast API and command line programs allowing to perform \
face detection, face tracking, gender and age prediction, and export to CSV or rich ASS subtitles'
# read the contents of your README file
with open('README.md', 'r') as fid:
long_description = fid.read()
setup(
name = "inaFaceAnalyzer",
version = versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
author = "David Doukhan, Zohra Rezgui, Thomas Petit",
author_email = "david.doukhan@gmail.com, zohra.rzg@gmail.com, tpetit@ina.fr",
test_suite="test_inaFaceAnalyzer.py",
description = DESCRIPTION,
license = "MIT",
install_requires=['opencv-contrib-python', 'dlib', 'pandas', 'scikit-learn',
'h5py', 'matplotlib', 'onnxruntime-gpu', 'cheetah3',
'av', 'tensorflow>=2.6', 'pyro4', 'xlsxwriter'],
extras_require={'doc': ['sphinx-toolbox']},
url = "https://github.com/ina-foss/inaFaceAnalyzer",
packages=['inaFaceAnalyzer'],
keywords = KEYWORDS,
#packages = find_packages(),
include_package_data = True,
data_files = ['LICENSE'], #'inaFaceAnalyzer/template.ass'],
long_description = long_description,
long_description_content_type='text/markdown',
scripts=[os.path.join('scripts', script) for script in \
['ina_face_analyzer.py', 'ina_face_analyzer_webcam_demo.py',
'ina_face_analyzer_distributed_server.py',
'ina_face_analyzer_distributed_worker.py']],
classifiers=CLASSIFIERS,
python_requires='>=3.7',
)