A software for the recognition of handwritten numbers.
Project description
===============================
Number Recognizer
===============================
.. image:: https://badge.fury.io/py/number-recognizer.svg
:target: https://pypi.python.org/pypi/number-recognizer
.. image:: https://readthedocs.org/projects/number-recognizer/badge/?version=latest
:target: https://number-recognizer.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
A software for the recognition of handwritten numbers.
* Free software: BSD license
* Documentation: http://number-recognizer.readthedocs.io/en/latest/
Requirements
------------
* OpenCV
* TensorFlow
* Numpy
* Pandas
* Click
Installation
------------
Install OpenCV_ and TensorFlow_ then and run::
$ pip install number-recognizer
.. _OpenCV: https://github.com/milq/scripts-ubuntu-debian/blob/master/install-opencv.sh
.. _TensorFlow: https://www.tensorflow.org/versions/r0.10/get_started/os_setup.html#pip-installation
Usage
-----
Run::
$ recognizer
Write a number on a clean peace of paper. Position it inside the green box in a way that the number is focused. Press **r** to recognize the number. Press **q** to quit the program.
Credits
---------
Tools used in rendering this package:
* Cookiecutter_
* `cookiecutter-pypackage`_
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`cookiecutter-pypackage`: https://github.com/condereis/cookiecutter-pypackage
=======
History
=======
0.1.0 (2016-08-12)
------------------
* First release on PyPI.
0.1.1 (2016-08-12)
------------------
* Import fix.
* Font changes.
0.1.2 and 0.1.3 (2016-08-12)
-------------------------
* Model location fix.
0.1.4 and 0.1.5 (2016-08-13)
------------------
* MANIFEST fix
* Absolut path to model
Number Recognizer
===============================
.. image:: https://badge.fury.io/py/number-recognizer.svg
:target: https://pypi.python.org/pypi/number-recognizer
.. image:: https://readthedocs.org/projects/number-recognizer/badge/?version=latest
:target: https://number-recognizer.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
A software for the recognition of handwritten numbers.
* Free software: BSD license
* Documentation: http://number-recognizer.readthedocs.io/en/latest/
Requirements
------------
* OpenCV
* TensorFlow
* Numpy
* Pandas
* Click
Installation
------------
Install OpenCV_ and TensorFlow_ then and run::
$ pip install number-recognizer
.. _OpenCV: https://github.com/milq/scripts-ubuntu-debian/blob/master/install-opencv.sh
.. _TensorFlow: https://www.tensorflow.org/versions/r0.10/get_started/os_setup.html#pip-installation
Usage
-----
Run::
$ recognizer
Write a number on a clean peace of paper. Position it inside the green box in a way that the number is focused. Press **r** to recognize the number. Press **q** to quit the program.
Credits
---------
Tools used in rendering this package:
* Cookiecutter_
* `cookiecutter-pypackage`_
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`cookiecutter-pypackage`: https://github.com/condereis/cookiecutter-pypackage
=======
History
=======
0.1.0 (2016-08-12)
------------------
* First release on PyPI.
0.1.1 (2016-08-12)
------------------
* Import fix.
* Font changes.
0.1.2 and 0.1.3 (2016-08-12)
-------------------------
* Model location fix.
0.1.4 and 0.1.5 (2016-08-13)
------------------
* MANIFEST fix
* Absolut path to model
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
number-recognizer-0.1.5.tar.gz
(12.8 MB
view details)
File details
Details for the file number-recognizer-0.1.5.tar.gz
.
File metadata
- Download URL: number-recognizer-0.1.5.tar.gz
- Upload date:
- Size: 12.8 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0d28a410f17f2310351fa2045f1a875ef241dee82293a344bde9a5999dc67906 |
|
MD5 | 3f5058c100183afc37051cc3533ce22b |
|
BLAKE2b-256 | 434895d0761885c06000962528381b9fb217747faf38cd17e12836288d6792c9 |