Commit fb4be79d authored by Jerome Flesch's avatar Jerome Flesch

README/setup.py: Update Repository URIs

Signed-off-by: Jerome Flesch's avatarJerome Flesch <jflesch@openpaper.work>
parent a73d2b58
......@@ -40,7 +40,7 @@ sudo pip3 install pyocr # Python 3.X
or the manual way:
```sh
mkdir -p ~/git ; cd git
git clone https://github.com/jflesch/pyocr.git
git clone https://github.com/openpaperwork/pyocr.git
cd pyocr
sudo python ./setup.py install
```
......@@ -292,23 +292,23 @@ To run the tesseract tests, you will need the following lang data files:
If you want to run OCR on natural scenes (photos, etc), you will have to filter
the image first. There are many algorithms possible to do that. One of those
who gives the best results is
[Stroke Width Transform](https://github.com/jflesch/libpillowfight#stroke-width-transformation).
[Stroke Width Transform](https://github.com/openpaperwork/libpillowfight#stroke-width-transformation).
## Contact
* [Mailing-list](https://github.com/jflesch/paperwork/wiki/Contact#mailing-list)
* [Bug tracker](https://github.com/jflesch/pyocr/issues/)
* [Mailing-list](https://github.com/openpaperwork/paperwork/wiki/Contact#mailing-list)
* [Bug tracker](https://github.com/openpaperwork/pyocr/issues/)
## Applications that use PyOCR
* [Mayan EDMS](http://mayan-edms.com/)
* [Paperless](https://github.com/danielquinn/paperless#readme)
* [Paperwork](https://github.com/jflesch/paperwork#readme)
* [Paperwork](https://github.com/openpaperwork/paperwork#readme)
If you know of any other applications that use Pyocr, please
[tell us](https://github.com/jflesch/paperwork/wiki/Contact#mailing-list) :-)
[tell us](https://github.com/openpaperwork/paperwork/wiki/Contact#mailing-list) :-)
## Copyright
......@@ -317,4 +317,4 @@ Copyright belongs to the authors of each piece of code
(see the file AUTHORS for the contributors list, and
```git blame``` to know which lines belong to which author).
https://github.com/jflesch/pyocr
https://github.com/openpaperwork/pyocr
......@@ -15,8 +15,8 @@ setup(
description=("A Python wrapper for OCR engines (Tesseract, Cuneiform,"
" etc)"),
keywords="tesseract cuneiform ocr",
url="https://github.com/jflesch/pyocr",
download_url="https://github.com/jflesch/pyocr/archive/0.4.7.zip",
url="https://github.com/openpaperwork/pyocr",
download_url="https://github.com/openpaperwork/pyocr/archive/0.4.7.zip",
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
......
......@@ -12,7 +12,7 @@ COPYRIGHT:
PyOCR is released under the GPL v3.
Copyright (c) Samuel Hoffstaetter, 2009
Copyright (c) Jerome Flesch, 2011-2016
https://github.com/jflesch/python-tesseract#readme
https://github.com/openpaperwork/pyocr#readme
'''
import codecs
......
......@@ -12,7 +12,7 @@ USAGE:
COPYRIGHT:
PyOCR is released under the GPL v3.
Copyright (c) Jerome Flesch, 2011-2016
https://github.com/jflesch/pyocr#readme
https://github.com/openpaperwork/pyocr#readme
'''
from os import devnull
from .. import builders
......
......@@ -42,7 +42,7 @@ Copyright (c) Jerome Flesch, 2011-2016
Tesseract module: Copyright (c) Samuel Hoffstaetter, 2009
WEBSITE:
https://github.com/jflesch/python-tesseract#readme
https://github.com/openpaperwork/pyocr#readme
"""
from . import cuneiform
......
......@@ -13,7 +13,7 @@ COPYRIGHT:
PyOCR is released under the GPL v3.
Copyright (c) Samuel Hoffstaetter, 2009
Copyright (c) Jerome Flesch, 2011-2016
https://github.com/jflesch/python-tesseract#readme
https://github.com/openpaperwork/pyocr#readme
'''
import codecs
......
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