forked from huggingface/pytorch-image-models
-
Notifications
You must be signed in to change notification settings - Fork 0
/
setup.py
48 lines (44 loc) · 1.73 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
""" Setup
"""
from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
exec(open('timm/version.py').read())
setup(
name='timm',
version=__version__,
description='(Unofficial) PyTorch Image Models',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/rwightman/pytorch-image-models',
author='Ross Wightman',
author_email='hello@rwightman.com',
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Software Development',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules',
],
# Note that this is a string of words separated by whitespace, not a list.
keywords='pytorch pretrained models efficientnet mobilenetv3 mnasnet',
packages=find_packages(exclude=['convert', 'tests', 'results']),
include_package_data=True,
install_requires=['torch >= 1.4', 'torchvision'],
python_requires='>=3.6',
)