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setup.py
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setup.py
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# -*- encoding: utf-8 -*-
# @Author: SWHL
# @Contact: [email protected]
import sys
from pathlib import Path
import setuptools
from get_pypi_latest_version import GetPyPiLatestVersion
def get_readme():
root_dir = Path(__file__).resolve().parent
readme_path = str(root_dir / "docs" / "doc_whl_rapid_table.md")
with open(readme_path, "r", encoding="utf-8") as f:
readme = f.read()
return readme
MODULE_NAME = "rapid_table"
obtainer = GetPyPiLatestVersion()
latest_version = obtainer(MODULE_NAME)
VERSION_NUM = obtainer.version_add_one(latest_version)
if len(sys.argv) > 2:
match_str = " ".join(sys.argv[2:])
matched_versions = obtainer.extract_version(match_str)
if matched_versions:
VERSION_NUM = matched_versions
sys.argv = sys.argv[:2]
setuptools.setup(
name=MODULE_NAME,
version=VERSION_NUM,
platforms="Any",
long_description=get_readme(),
long_description_content_type="text/markdown",
description="Tools for parsing table structures based ONNXRuntime.",
author="SWHL",
author_email="[email protected]",
url="https://github.com/RapidAI/RapidStructure",
license="Apache-2.0",
include_package_data=True,
install_requires=[
"onnxruntime>=1.7.0",
"PyYAML>=6.0",
"opencv_python>=4.5.1.48",
"numpy>=1.21.6",
"Pillow",
],
packages=[
MODULE_NAME,
f"{MODULE_NAME}.models",
f"{MODULE_NAME}.table_matcher",
f"{MODULE_NAME}.table_structure",
],
package_data={"": ["slanet-plus.onnx"]},
keywords=["ppstructure,table,rapidocr,rapid_table"],
classifiers=[
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
],
python_requires=">=3.6,<3.13",
entry_points={"console_scripts": [f"{MODULE_NAME}={MODULE_NAME}.main:main"]},
)