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setup.py
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setup.py
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# Copyright 2021 The Layout Parser team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from setuptools import setup, find_packages
import os
# A trick from https://github.com/jina-ai/jina/blob/79b302c93b01689e82cf4b52f46522eb7497c404/setup.py#L20
pkg_name = 'layoutparser'
libinfo_py = os.path.join('src', pkg_name, '__init__.py')
libinfo_content = open(libinfo_py, 'r', encoding='utf8').readlines()
version_line = [l.strip() for l in libinfo_content if l.startswith('__version__')][0]
exec(version_line) # gives __version__
setup(name = "layoutparser",
version = __version__,
author = "Zejiang Shen, Ruochen Zhang, and Layout Parser Model Contributors",
author_email = "[email protected]",
license = "Apache-2.0",
url = "https://github.com/Layout-Parser/layout-parser",
package_dir = {"": "src"},
packages = find_packages("src"),
description = "A unified toolkit for Deep Learning Based Document Image Analysis",
long_description=open("README.md", "r", encoding="utf-8").read(),
long_description_content_type="text/markdown",
python_requires='>=3.6',
install_requires=[
"numpy",
"opencv-python",
"scipy",
"pandas",
"pillow",
"pyyaml>=5.1",
"iopath",
"pdfplumber",
"pdf2image",
],
extras_require={
"ocr": [
'google-cloud-vision==1',
'pytesseract'
],
"gcv": [
'google-cloud-vision==1',
],
"tesseract": [
'pytesseract'
],
"layoutmodels": [
"torch",
"torchvision",
"effdet"
],
"effdet": [
"torch",
"torchvision",
"effdet"
],
"paddledetection": [
"paddlepaddle==2.1.0"
],
},
include_package_data=True
)