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setup.py
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setup.py
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from setuptools import setup, find_packages
import os
current_folder = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(current_folder, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='img2vec_pytorch',
version='1.0.1',
description='Use pre-trained models in PyTorch to extract vector embeddings for any image',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/christiansafka/img2vec',
author='Christian Safka',
author_email='[email protected]',
license='MIT',
install_requires=[
'torch',
'torchvision',
'numpy'],
classifiers=[
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.6'
],
keywords='img2vec image vector classification pytorch convert',
packages=find_packages(),
python_requires='>=3.6'
)