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setup.py
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setup.py
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import distutils.spawn
import os
import re
import shlex
import subprocess
import sys
from setuptools import find_packages
from setuptools import setup
def get_version():
filename = "labelme/__init__.py"
with open(filename) as f:
match = re.search(
r"""^__version__ = ['"]([^'"]*)['"]""", f.read(), re.M
)
if not match:
raise RuntimeError("{} doesn't contain __version__".format(filename))
version = match.groups()[0]
return version
def get_install_requires():
install_requires = [
"einops",
"imgviz>=0.11",
"matplotlib",
"natsort>=7.1.0",
"numpy",
"Pillow>=2.8",
"PyYAML",
"qtpy!=1.11.2",
"termcolor",
"docopt == 0.6.2" ,
"opencv_python == 4.5.5.64",
"scikit-image",
"scipy",
"setuptools == 58.0.4",
"tqdm == 4.64.0",
"xmltodict == 0.13.0",
"toml == 0.10.2",
"shapely",
"easydict",
"PyQt5",
"torch",
"timm"
]
# Find python binding for qt with priority:
# PyQt5 -> PySide2
# and PyQt5 is automatically installed on Python3.
QT_BINDING = None
try:
import PyQt5 # NOQA
QT_BINDING = "pyqt5"
except ImportError:
pass
if QT_BINDING is None:
try:
import PySide2 # NOQA
QT_BINDING = "pyside2"
except ImportError:
pass
if QT_BINDING is None:
# PyQt5 can be installed via pip for Python3
# 5.15.3, 5.15.4 won't work with PyInstaller
install_requires.append("PyQt5!=5.15.3,!=5.15.4")
QT_BINDING = "pyqt5"
del QT_BINDING
if os.name == "nt": # Windows
install_requires.append("colorama")
return install_requires
def get_long_description():
with open("README.md") as f:
long_description = f.read()
try:
# when this package is being released
import github2pypi
return github2pypi.replace_url(
slug="worree133/Labelme-for-Auto-Human-Segmentation", content=long_description, branch="main"
)
except ImportError:
# when this package is being installed
return long_description
def main():
version = get_version()
if sys.argv[1] == "release":
try:
import github2pypi # NOQA
except ImportError:
print(
"Please install github2pypi\n\n\tpip install github2pypi\n",
file=sys.stderr,
)
sys.exit(1)
if not distutils.spawn.find_executable("twine"):
print(
"Please install twine:\n\n\tpip install twine\n",
file=sys.stderr,
)
sys.exit(1)
commands = [
"git push origin main",
"git tag v{:s}".format(version),
"git push origin --tags",
"python setup.py sdist",
"twine upload dist/labelme-{:s}.tar.gz".format(version),
]
for cmd in commands:
print("+ {:s}".format(cmd))
subprocess.check_call(shlex.split(cmd))
sys.exit(0)
setup(
name="hs_labelme",
version=version,
packages=find_packages(),
description="Image Polygonal Annotation with Python",
long_description=get_long_description(),
long_description_content_type="text/markdown",
author="Jacky Lee",
author_email="jacky2013517517@gmail.com",
url="https://github.com/worree133/Labelme-for-Auto-Human-Segmentation.git",
install_requires=get_install_requires(),
license="GPLv3",
keywords="Image Annotation, Machine Learning",
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Natural Language :: English",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3 :: Only",
],
package_data={"labelme": ["icons/*", "config/*.yaml"]},
entry_points={
"console_scripts": [
"hs_labelme=labelme.__main__:main",
"hs_labelme_draw_json=labelme.cli.draw_json:main",
"hs_labelme_draw_label_png=labelme.cli.draw_label_png:main",
"hs_labelme_json_to_dataset=labelme.cli.json_to_dataset:main",
"hs_labelme_on_docker=labelme.cli.on_docker:main",
],
},
)
if __name__ == "__main__":
main()