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A software for the recognition of handwritten numbers.

Project description

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Number Recognizer
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.. 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
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* 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
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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



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History
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0.1.0 (2016-08-12)
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* First release on PyPI.


0.1.1 (2016-08-12)
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* Import fix.
* Font changes.


0.1.2 and 0.1.3 (2016-08-12)
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* Model location fix.


0.1.4 and 0.1.5 (2016-08-13)
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* MANIFEST fix
* Absolut path to model

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number-recognizer-0.1.5.tar.gz (12.8 MB view hashes)

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