Metadata-Version: 2.1
Name: mexican-sign-language-toolkit
Version: 1.0.7
Summary: Manage visual language with msl
Home-page: https://github.com/sanchezcarlosjr/mexican_sign_language_toolkit/
Author: sanchezcarlosjr
Author-email: 24639141+sanchezcarlosjr@users.noreply.github.com
License: MIT
Project-URL: Documentation, https://github.com/sanchezcarlosjr/mexican_sign_language_toolkit/
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Description-Content-Type: text/x-rst; charset=UTF-8
License-File: LICENSE.txt
Requires-Dist: importlib-metadata; python_version < "3.8"
Requires-Dist: opencv-python
Requires-Dist: mediapipe
Requires-Dist: regex
Requires-Dist: scipy
Requires-Dist: gradio
Requires-Dist: uuid7
Provides-Extra: testing
Requires-Dist: setuptools; extra == "testing"
Requires-Dist: pytest; extra == "testing"
Requires-Dist: pytest-cov; extra == "testing"

.. image:: https://img.shields.io/badge/-PyScaffold-005CA0?logo=pyscaffold
    :alt: Project generated with PyScaffold
    :target: https://pyscaffold.org/


.. image:: https://img.shields.io/pypi/v/mexican_sign_language_toolkit.svg
        :alt: PyPI-Server
        :target: https://pypi.org/project/mexican_sign_language_toolkit/



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=============================
Mexican sign language toolkit
=============================


    Scientific computing toolkit designed to support visual languages such as mexican sign detection and analysis.


Installation from pypi
======================

.. code-block:: bash

   pip install mexican_sign_language_toolkit


CLI
============


Detect segment in image
+++++++++++++++++++++++

.. code-block:: bash

   msl -lv [file_path]


Launch web server
+++++++++++++++++++++++

.. code-block:: bash

   msl -s


Create language space
+++++++++++++++++++++++

.. code-block:: bash

   msl -cs

Python
==========

Consult our notebooks to learn more. We recommend you starting with Getting started.



.. _pyscaffold-notes:

Note
====

This project has been set up using PyScaffold 4.4. For details and usage
information on PyScaffold see https://pyscaffold.org/.
