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setup.py
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setup.py
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from setuptools import setup, find_packages
with open('README_PyPI.md', 'r', encoding='utf-8') as f:
long_description = f.read()
setup(
name='beliefppg',
version='0.3.1',
packages=find_packages(),
package_data={'beliefppg': ['inference/inference_model_architecture.json', 'inference/inference_model_weights.npz',
'inference/inference_model_notimebackbone_architecture.json', 'inference/inference_model_notimebackbone_weights.npz']},
install_requires=[
'numpy',
'pandas',
'scikit-learn',
'tensorflow>=2.14.0',
'tf-keras',
'tensorflow-probability~=0.22.1',
'wandb'
],
python_requires='>=3.9',
author='Paul Streli',
author_email='[email protected]',
description='Taking multi-channel PPG and Accelerometer signals as input, BeliefPPG predicts the instantaneous heart rate and provides an uncertainty estimate for the prediction.',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/eth-siplab/BeliefPPG',
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
'Programming Language :: Python :: 3.12',
'Topic :: Software Development :: Libraries'
],
keywords='PPG, heart rate, signal processing, uncertainty estimation, biomedical signals',
)