<reponame>DeltaRule/FeatureSelector<filename>setup.py
from setuptools import setup, find_packages
import codecs
import os

here = os.path.abspath(os.path.dirname(__file__))

with codecs.open(os.path.join(here, "README.md"), encoding="utf-8") as fh:
    long_description = "\n" + fh.read()

VERSION = '0.0.1'
DESCRIPTION = 'A Feature Selector backward wrapper, based on Squeeze and Excition Dense block'
LONG_DESCRIPTION = 'A package that allows to build simple streams of video, audio and camera data.'

# Setting up
setup(
    name="FeatureSelector",
    version=VERSION,
    author="DeltaRule (<NAME>)",
    author_email="<<EMAIL>>",
    description=DESCRIPTION,
    long_description_content_type="text/markdown",
    long_description=long_description,
    packages=find_packages(),
    install_requires=['torch', 'torchvision', 'torchaudio', 'numpy', 'tqdm'],
    keywords=['python', 'feature-selector', 'feature selector', 'neural network', 'feature', 'wrapper'],
    classifiers=[
        "Development Status :: 1 - Planning",
        "Intended Audience :: Developers",
        "Programming Language :: Python :: 3",
        "Operating System :: Unix",
        "Operating System :: MacOS :: MacOS X",
        "Operating System :: Microsoft :: Windows",
    ]
)
from setuptools import setup, find_packages
import codecs
import os

here = os.path.abspath(os.path.dirname(__file__))

with codecs.open(os.path.join(here, "README.md"), encoding="utf-8") as fh:
    long_description = "\n" + fh.read()

VERSION = '0.0.1'
DESCRIPTION = 'A Feature Selector backward wrapper, based on Squeeze and Excition Dense block'
LONG_DESCRIPTION = 'A package that allows to build simple streams of video, audio and camera data.'

# Setting up
setup(
    name="FeatureSelector",
    version=VERSION,
    author="DeltaRule (<NAME>)",
    author_email="<<EMAIL>>",
    description=DESCRIPTION,
    long_description_content_type="text/markdown",
    long_description=long_description,
    packages=find_packages(),
    install_requires=['torch', 'torchvision', 'torchaudio', 'numpy', 'tqdm'],
    keywords=['python', 'feature-selector', 'feature selector', 'neural network', 'feature', 'wrapper'],
    classifiers=[
        "Development Status :: 1 - Planning",
        "Intended Audience :: Developers",
        "Programming Language :: Python :: 3",
        "Operating System :: Unix",
        "Operating System :: MacOS :: MacOS X",
        "Operating System :: Microsoft :: Windows",
    ]
)
# Setting up