-
Notifications
You must be signed in to change notification settings - Fork 0
/
setup.py
64 lines (47 loc) · 1.81 KB
/
setup.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='AutoMark',
# Semantic Versioning 2.0.0 https://semver.org/
version='0.1.0',
description='Automaticly grade handwritten student responses on \"Grade-it\" math worksheets.',
# long_description=long_description,
url='https://github.com/tutordelphia/AutoMark',
author='Adam Levin',
# This should be a valid email address corresponding to the author listed
# above.
author_email='AdamLevin@tutordelphia.com',
# Classifiers help users find your project by categorizing it.
#
# For a list of valid classifiers, see
# https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[ # Optional
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'Topic :: Software Development :: Build Tools',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.6',
],
keywords='computer-vision digit-recognition teaching-tool worksheets grading', # Optional
packages=find_packages(),
install_requires=['numpy>=1', 'tensorflow', 'six', 'pillow', 'Keras>=2', 'opencv-python>=3.4'],
package_data={ # Optional
'data': ['cnn_mnist.h5'],
},
)