forked from frgfm/torch-cam
-
Notifications
You must be signed in to change notification settings - Fork 0
/
setup.py
150 lines (127 loc) · 3.75 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
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
# Copyright (C) 2020-2021, François-Guillaume Fernandez.
# This program is licensed under the Apache License version 2.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0.txt> for full license details.
"""
Package installation setup
"""
import os
import re
import subprocess
from pathlib import Path
from setuptools import find_packages, setup
version = '0.3.2.dev0'
sha = 'Unknown'
package_name = 'torchcam'
cwd = Path(__file__).parent.absolute()
if os.getenv('BUILD_VERSION'):
version = os.getenv('BUILD_VERSION')
else:
try:
sha = subprocess.check_output(['git', 'rev-parse', 'HEAD'], cwd=cwd).decode('ascii').strip()
except Exception:
pass
if sha != 'Unknown':
version += '+' + sha[:7]
print(f"Building wheel {package_name}-{version}")
with open(cwd.joinpath('torchcam', 'version.py'), 'w') as f:
f.write(f"__version__ = '{version}'\n")
with open('README.md', 'r') as f:
readme = f.read()
_deps = [
"torch>=1.5.1",
"numpy>=1.14.0",
"Pillow>=8.3.2", # cf. https://github.com/advisories/GHSA-98vv-pw6r-q6q4
"matplotlib>=3.0.0",
# Testing
"pytest>=5.3.2",
"coverage>=4.5.4",
"requests>=2.20.0",
"torchvision>=0.4.0",
"requirements-parser==0.2.0",
# Quality
"flake8>=3.9.0",
"isort>=5.7.0",
"mypy>=0.812",
# Docs
"sphinx<=3.4.3",
"sphinx-rtd-theme==0.4.3",
"sphinxemoji>=0.1.8",
"sphinx-copybutton>=0.3.1",
"docutils<0.18",
"recommonmark>=0.7.1",
"sphinx-markdown-tables>=0.0.15",
]
# Borrowed from https://github.com/huggingface/transformers/blob/master/setup.py
deps = {b: a for a, b in (re.findall(r"^(([^!=<>]+)(?:[!=<>].*)?$)", x)[0] for x in _deps)}
def deps_list(*pkgs):
return [deps[pkg] for pkg in pkgs]
install_requires = [
deps["torch"],
deps["numpy"],
deps["Pillow"],
deps["matplotlib"],
]
extras = {}
extras["testing"] = deps_list(
"pytest",
"coverage",
"requests",
"torchvision",
"requirements-parser",
)
extras["quality"] = deps_list(
"flake8",
"isort",
"mypy"
)
extras["docs"] = deps_list(
"sphinx",
"sphinx-rtd-theme",
"sphinxemoji",
"sphinx-copybutton",
"docutils",
"recommonmark",
"sphinx-markdown-tables"
)
extras["dev"] = (
extras["testing"]
+ extras["quality"]
+ extras["docs"]
)
setup(
# Metadata
name=package_name,
version=version,
author='François-Guillaume Fernandez',
author_email='[email protected]',
description='Class activation maps for your PyTorch CNN models',
long_description=readme,
long_description_content_type="text/markdown",
url='https://github.com/frgfm/torch-cam',
download_url='https://github.com/frgfm/torch-cam/tags',
license='Apache',
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Natural Language :: English',
'Operating System :: OS Independent',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
keywords=['pytorch', 'deep learning', 'class activation map', 'cnn', 'convolution', 'activation', 'gradcam'],
# Package info
packages=find_packages(exclude=('tests',)),
zip_safe=True,
python_requires='>=3.6.0',
include_package_data=True,
install_requires=install_requires,
extras_require=extras,
package_data={'': ['LICENSE']}
)