from setuptools import setup, find_packages

from codecs import open

from os import path

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

with open(path.join(here, 'README.md'), encoding='utf-8') as f:

long_description = f.read()

setup(name='swiss_army_keras',

version='0.10.0',

description='A collection of models and utilities for the development of edge deployable Keras models',

long_description=long_description,

keywords=['keras', 'segmentation', 'classification', 'finetuning', 'edge',

'quantization', 'augmentation'],

classifiers=[

'Development Status :: 3 - Alpha',

'License :: OSI Approved :: MIT License',

'Intended Audience :: Developers',

'Intended Audience :: Science/Research',

'Programming Language :: Python :: 3.6',

'Topic :: Multimedia :: Graphics'],

url='http://github.com/desmoteo/swiss-army-keras',

author='Matteo Ferrabone',

author_email='[email protected]',

license='MIT',

packages=find_packages(),

include_package_data=True,

package_data={

# If any package contains *.txt files, include them:

"": ["*.ttf"],

},

install_requires=[

'numpy',

#'tensorflow>=2.4.0',

'efficientnet-lite-keras @ git https://github.com/waterviewsrl/efficientnet-lite-keras.git',

'irondomo',

'pillow',

'typeguard',

'tensorflow_model_optimization'

],

zip_safe=False)