Updated script that can be controled by Nodejs web app

This commit is contained in:
mac OS
2024-11-25 12:24:18 +07:00
parent c440eda1f4
commit 8b0ab2bd3a
8662 changed files with 1803808 additions and 34 deletions

View File

@ -0,0 +1,201 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright [yyyy] [name of copyright owner]
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.

View File

@ -0,0 +1,277 @@
Metadata-Version: 2.1
Name: pytesseract
Version: 0.3.13
Summary: Python-tesseract is a python wrapper for Google's Tesseract-OCR
Home-page: https://github.com/madmaze/pytesseract
Author: Samuel Hoffstaetter
Author-email: samuel@hoffstaetter.com
Maintainer: Matthias Lee
Maintainer-email: pytesseract@madmaze.net
License: Apache License 2.0
Keywords: python-tesseract OCR Python
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.8
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: packaging>=21.3
Requires-Dist: Pillow>=8.0.0
Python Tesseract
================
.. image:: https://img.shields.io/pypi/pyversions/pytesseract.svg
:target: https://pypi.python.org/pypi/pytesseract
:alt: Python versions
.. image:: https://img.shields.io/github/release/madmaze/pytesseract.svg
:target: https://github.com/madmaze/pytesseract/releases
:alt: Github release
.. image:: https://img.shields.io/pypi/v/pytesseract.svg?color=blue
:target: https://pypi.python.org/pypi/pytesseract
:alt: PyPI release
.. image:: https://img.shields.io/conda/vn/conda-forge/pytesseract.svg?color=blue
:target: https://anaconda.org/conda-forge/pytesseract
:alt: Conda release
.. image:: https://results.pre-commit.ci/badge/github/madmaze/pytesseract/master.svg
:target: https://results.pre-commit.ci/latest/github/madmaze/pytesseract/master
:alt: Pre-commit CI status
.. image:: https://github.com/madmaze/pytesseract/workflows/CI/badge.svg?branch=master
:target: https://github.com/madmaze/pytesseract/actions?query=workflow%3ACI
:alt: CI workflow status
Python-tesseract is an optical character recognition (OCR) tool for python.
That is, it will recognize and "read" the text embedded in images.
Python-tesseract is a wrapper for `Google's Tesseract-OCR Engine <https://github.com/tesseract-ocr/tesseract>`_.
It is also useful as a stand-alone invocation script to tesseract, as it can read all image types
supported by the Pillow and Leptonica imaging libraries, including jpeg, png, gif, bmp, tiff,
and others. Additionally, if used as a script, Python-tesseract will print the recognized
text instead of writing it to a file.
USAGE
-----
**Quickstart**
*Note*: Test images are located in the ``tests/data`` folder of the Git repo.
Library usage:
.. code-block:: python
from PIL import Image
import pytesseract
# If you don't have tesseract executable in your PATH, include the following:
pytesseract.pytesseract.tesseract_cmd = r'<full_path_to_your_tesseract_executable>'
# Example tesseract_cmd = r'C:\Program Files (x86)\Tesseract-OCR\tesseract'
# Simple image to string
print(pytesseract.image_to_string(Image.open('test.png')))
# In order to bypass the image conversions of pytesseract, just use relative or absolute image path
# NOTE: In this case you should provide tesseract supported images or tesseract will return error
print(pytesseract.image_to_string('test.png'))
# List of available languages
print(pytesseract.get_languages(config=''))
# French text image to string
print(pytesseract.image_to_string(Image.open('test-european.jpg'), lang='fra'))
# Batch processing with a single file containing the list of multiple image file paths
print(pytesseract.image_to_string('images.txt'))
# Timeout/terminate the tesseract job after a period of time
try:
print(pytesseract.image_to_string('test.jpg', timeout=2)) # Timeout after 2 seconds
print(pytesseract.image_to_string('test.jpg', timeout=0.5)) # Timeout after half a second
except RuntimeError as timeout_error:
# Tesseract processing is terminated
pass
# Get bounding box estimates
print(pytesseract.image_to_boxes(Image.open('test.png')))
# Get verbose data including boxes, confidences, line and page numbers
print(pytesseract.image_to_data(Image.open('test.png')))
# Get information about orientation and script detection
print(pytesseract.image_to_osd(Image.open('test.png')))
# Get a searchable PDF
pdf = pytesseract.image_to_pdf_or_hocr('test.png', extension='pdf')
with open('test.pdf', 'w+b') as f:
f.write(pdf) # pdf type is bytes by default
# Get HOCR output
hocr = pytesseract.image_to_pdf_or_hocr('test.png', extension='hocr')
# Get ALTO XML output
xml = pytesseract.image_to_alto_xml('test.png')
# getting multiple types of output with one call to save compute time
# currently supports mix and match of the following: txt, pdf, hocr, box, tsv
text, boxes = pytesseract.run_and_get_multiple_output('test.png', extensions=['txt', 'box'])
Support for OpenCV image/NumPy array objects
.. code-block:: python
import cv2
img_cv = cv2.imread(r'/<path_to_image>/digits.png')
# By default OpenCV stores images in BGR format and since pytesseract assumes RGB format,
# we need to convert from BGR to RGB format/mode:
img_rgb = cv2.cvtColor(img_cv, cv2.COLOR_BGR2RGB)
print(pytesseract.image_to_string(img_rgb))
# OR
img_rgb = Image.frombytes('RGB', img_cv.shape[:2], img_cv, 'raw', 'BGR', 0, 0)
print(pytesseract.image_to_string(img_rgb))
If you need custom configuration like `oem`/`psm`, use the **config** keyword.
.. code-block:: python
# Example of adding any additional options
custom_oem_psm_config = r'--oem 3 --psm 6'
pytesseract.image_to_string(image, config=custom_oem_psm_config)
# Example of using pre-defined tesseract config file with options
cfg_filename = 'words'
pytesseract.run_and_get_output(image, extension='txt', config=cfg_filename)
Add the following config, if you have tessdata error like: "Error opening data file..."
.. code-block:: python
# Example config: r'--tessdata-dir "C:\Program Files (x86)\Tesseract-OCR\tessdata"'
# It's important to add double quotes around the dir path.
tessdata_dir_config = r'--tessdata-dir "<replace_with_your_tessdata_dir_path>"'
pytesseract.image_to_string(image, lang='chi_sim', config=tessdata_dir_config)
**Functions**
* **get_languages** Returns all currently supported languages by Tesseract OCR.
* **get_tesseract_version** Returns the Tesseract version installed in the system.
* **image_to_string** Returns unmodified output as string from Tesseract OCR processing
* **image_to_boxes** Returns result containing recognized characters and their box boundaries
* **image_to_data** Returns result containing box boundaries, confidences, and other information. Requires Tesseract 3.05+. For more information, please check the `Tesseract TSV documentation <https://tesseract-ocr.github.io/tessdoc/Command-Line-Usage.html>`_
* **image_to_osd** Returns result containing information about orientation and script detection.
* **image_to_alto_xml** Returns result in the form of Tesseract's ALTO XML format.
* **run_and_get_output** Returns the raw output from Tesseract OCR. Gives a bit more control over the parameters that are sent to tesseract.
* **run_and_get_multiple_output** Returns like `run_and_get_output` but can handle multiple extensions. This function replaces the `extension: str` kwarg with `extension: List[str]` kwarg where a list of extensions can be specified and the corresponding data is returned after only one `tesseract` call. This function reduces the number of calls to `tesseract` when multiple output formats, like both text and bounding boxes, are needed.
**Parameters**
``image_to_data(image, lang=None, config='', nice=0, output_type=Output.STRING, timeout=0, pandas_config=None)``
* **image** Object or String - either PIL Image, NumPy array or file path of the image to be processed by Tesseract. If you pass object instead of file path, pytesseract will implicitly convert the image to `RGB mode <https://pillow.readthedocs.io/en/stable/handbook/concepts.html#modes>`_.
* **lang** String - Tesseract language code string. Defaults to ``eng`` if not specified! Example for multiple languages: ``lang='eng+fra'``
* **config** String - Any **additional custom configuration flags** that are not available via the pytesseract function. For example: ``config='--psm 6'``
* **nice** Integer - modifies the processor priority for the Tesseract run. Not supported on Windows. Nice adjusts the niceness of unix-like processes.
* **output_type** Class attribute - specifies the type of the output, defaults to ``string``. For the full list of all supported types, please check the definition of `pytesseract.Output <https://github.com/madmaze/pytesseract/blob/master/pytesseract/pytesseract.py>`_ class.
* **timeout** Integer or Float - duration in seconds for the OCR processing, after which, pytesseract will terminate and raise RuntimeError.
* **pandas_config** Dict - only for the **Output.DATAFRAME** type. Dictionary with custom arguments for `pandas.read_csv <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html#pandas-read-csv>`_. Allows you to customize the output of **image_to_data**.
CLI usage:
.. code-block:: bash
pytesseract [-l lang] image_file
INSTALLATION
------------
Prerequisites:
- Python-tesseract requires Python 3.6+
- You will need the Python Imaging Library (PIL) (or the `Pillow <https://pypi.org/project/Pillow/>`_ fork).
Please check the `Pillow documentation <https://pillow.readthedocs.io/en/stable/installation.html#basic-installation>`_ to know the basic Pillow installation.
- Install `Google Tesseract OCR <https://github.com/tesseract-ocr/tesseract>`_
(additional info how to install the engine on Linux, Mac OSX and Windows).
You must be able to invoke the tesseract command as *tesseract*. If this
isn't the case, for example because tesseract isn't in your PATH, you will
have to change the "tesseract_cmd" variable ``pytesseract.pytesseract.tesseract_cmd``.
Under Debian/Ubuntu you can use the package **tesseract-ocr**.
For Mac OS users. please install homebrew package **tesseract**.
*Note:* In some rare cases, you might need to additionally install ``tessconfigs`` and ``configs`` from `tesseract-ocr/tessconfigs <https://github.com/tesseract-ocr/tessconfigs>`_ if the OS specific package doesn't include them.
| Installing via pip:
Check the `pytesseract package page <https://pypi.python.org/pypi/pytesseract>`_ for more information.
.. code-block:: bash
pip install pytesseract
| Or if you have git installed:
.. code-block:: bash
pip install -U git+https://github.com/madmaze/pytesseract.git
| Installing from source:
.. code-block:: bash
git clone https://github.com/madmaze/pytesseract.git
cd pytesseract && pip install -U .
| Install with conda (via `conda-forge <https://anaconda.org/conda-forge/pytesseract>`_):
.. code-block:: bash
conda install -c conda-forge pytesseract
TESTING
-------
To run this project's test suite, install and run ``tox``. Ensure that you have ``tesseract``
installed and in your PATH.
.. code-block:: bash
pip install tox
tox
LICENSE
-------
Check the LICENSE file included in the Python-tesseract repository/distribution.
As of Python-tesseract 0.3.1 the license is Apache License Version 2.0
CONTRIBUTORS
------------
- Originally written by `Samuel Hoffstaetter <https://github.com/h>`_
- `Full list of contributors <https://github.com/madmaze/pytesseract/graphs/contributors>`_

View File

@ -0,0 +1,13 @@
../../../bin/pytesseract,sha256=6lxIjioMYwsE_ERLt0ng3m0wghPrOynEtsiz4CezKoo,292
pytesseract-0.3.13.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
pytesseract-0.3.13.dist-info/LICENSE,sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ,11357
pytesseract-0.3.13.dist-info/METADATA,sha256=UP0_mVTrsNzb3U-Mqh29PZsKJA80ahok0B_Pixe5WFA,11906
pytesseract-0.3.13.dist-info/RECORD,,
pytesseract-0.3.13.dist-info/REQUESTED,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pytesseract-0.3.13.dist-info/WHEEL,sha256=HiCZjzuy6Dw0hdX5R3LCFPDmFS4BWl8H-8W39XfmgX4,91
pytesseract-0.3.13.dist-info/entry_points.txt,sha256=uMiruEBjRRUkGndY5OdElrYtdp9ufqjNLEVmgefS6qU,61
pytesseract-0.3.13.dist-info/top_level.txt,sha256=gpESxTOekDTDI9qyVTVO3XAuTLQIKqJd7UyZs5X5BWY,12
pytesseract/__init__.py,sha256=JT3gRmMvGe-0y-cwX3k6WbTJ2NxBgJMyRHYyGG00Wno,679
pytesseract/__pycache__/__init__.cpython-313.pyc,,
pytesseract/__pycache__/pytesseract.cpython-313.pyc,,
pytesseract/pytesseract.py,sha256=V6xIDuDvU64IjLwjK1YoIz8YpQZg7ehJGjwj22k-pAg,16392

View File

@ -0,0 +1,5 @@
Wheel-Version: 1.0
Generator: setuptools (72.2.0)
Root-Is-Purelib: true
Tag: py3-none-any

View File

@ -0,0 +1,2 @@
[console_scripts]
pytesseract = pytesseract.pytesseract:main

View File

@ -0,0 +1 @@
pytesseract