mirror of
https://github.com/PaddlePaddle/PaddleOCR.git
synced 2025-11-03 19:29:18 +00:00
52 lines
2.2 KiB
Python
52 lines
2.2 KiB
Python
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from setuptools import setup
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from io import open
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with open('requirements.txt', encoding="utf-8-sig") as f:
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requirements = f.readlines()
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requirements.append('tqdm')
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def readme():
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with open('README.md', encoding="utf-8-sig") as f:
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README = f.read()
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return README
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setup(
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name='PPOCRLabel',
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packages=['PPOCRLabel'],
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package_data = {'PPOCRLabel': ['libs/*','resources/strings/*','resources/icons/*']},
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package_dir={'PPOCRLabel': ''},
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include_package_data=True,
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entry_points={"console_scripts": ["PPOCRLabel= PPOCRLabel.PPOCRLabel:main"]},
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version='1.0.2',
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install_requires=requirements,
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license='Apache License 2.0',
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description='PPOCRLabel is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PPOCR model to automatically detect and re-recognize data. It is written in python3 and pyqt5, supporting rectangular box annotation and four-point annotation modes. Annotations can be directly used for the training of PPOCR detection and recognition models',
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long_description=readme(),
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long_description_content_type='text/markdown',
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url='https://github.com/PaddlePaddle/PaddleOCR',
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download_url='https://github.com/PaddlePaddle/PaddleOCR.git',
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keywords=[
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'ocr textdetection textrecognition paddleocr crnn east star-net rosetta ocrlite db chineseocr chinesetextdetection chinesetextrecognition'
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],
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classifiers=[
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'Intended Audience :: Developers', 'Operating System :: OS Independent',
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'Natural Language :: English',
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'Programming Language :: Python :: 3.6',
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'Programming Language :: Python :: 3.7', 'Topic :: Utilities'
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], ) |