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            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Natural Language :: English",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Education",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "\nIntelligent Tracker  |build-status| |docs|\n=========================================================\n\nOverview\n========\n\nThis package provides an API and user interface for tracking objects using haarcascades, keypoints and\nother methods that will be integrated in the future.\n\nThe purpose is to create a software to create smart cameras that can detect and follow people\nin a close environment composed of scenes and entries on them like doors or imaginary areas\nwhere people or objects can be counted or statistics can be obtained.\n\nFor now the project is its early stages and the development until the objectives can be reach can take time.\nBut for now it offers a demo in the main.py script which hopefully can convey the intend of the project and be useful to someone.\nThat said, this code does not intent to compete against commercial software but rather complement them for integration\nwith a CCTV system and to not obscure users of what information is being processed from them hence the GPL licence.\n\nLatest:\n\n    - Documentation: http://intelligent-tracker.readthedocs.io/\n    - Project Homepage: https://github.com/davtoh/intelligent-tracker\n\nLicence:\n\n    GPL v3 Licence_\n\nDocumentation\n=============\n\nFor API documentation, usage and examples see files in the \"documentation\"\ndirectory.  The \".rst\" files can be read in any text editor or being converted to\nHTML or PDF using Sphinx_. A HTML version will be available soon.\n\nInstallation\n============\n``pip install intelligent-tracker`` should work for most users.\n\nThe usual setup.py for Python_ libraries are used for the source distribution.\nBut OpenCV must be installed separately usually compiled from source.\n\nTo install OpenCV on windows without much hassle I recommend installing the binaries from\nthe `Unofficial Windows Binaries for Python`_ and for Debian distributions I\nprovide the bash `OpenCV linux installation`_ so that the user can compile\nopenCV (it can take some time). Bear in mind that for Linux it downloads the\nlatest 3.x version.\n\nOnce successfully installed you can import it in python as:\n\n    >>>> import intelligent_tracker as itt\n\nReleases\n========\n\nAll releases follow semantic rules proposed in https://www.python.org/dev/peps/pep-0440/\nand http://semver.org/\n\nTesting and application\n=======================\n\nThis project provides unittest tests under the tests/ folder. As an example we can see the tracker in action:\n\n.. figure:: https://github.com/davtoh/intelligent-tracker/blob/master/documentation/_static/Scene1_f1.png\n    :align: center\n    :scale: 5%\n.. figure:: https://github.com/davtoh/intelligent-tracker/blob/master/documentation/_static/Scene1_f2.png\n    :align: center\n    :scale: 5%\n.. figure:: https://github.com/davtoh/intelligent-tracker/blob/master/documentation/_static/Scene1_f3.png\n    :align: center\n    :scale: 5%\n.. figure:: https://github.com/davtoh/intelligent-tracker/blob/master/documentation/_static/Scene1_f4.png\n    :align: center\n    :scale: 5%\n.. figure:: https://github.com/davtoh/intelligent-tracker/blob/master/documentation/_static/Scene1_f5.png\n    :align: center\n    :scale: 5%\n\nUsage\n=====\n\nOpen your console and type ``python main.py``\n\n\n- Contributions and bug reports are appreciated.\n- author: David Toro\n- e-mail: davsamirtor@gmail.com\n- project: https://github.com/davtoh/intelligent-tracker\n\n.. _Licence: https://github.com/davtoh/intelligent-tracker/LICENSE.rst\n.. _Python: http://python.org/\n.. _Sphinx: http://sphinx-doc.org/\n.. _pyinstaller: http://www.pyinstaller.org/\n.. |build-status| image:: https://travis-ci.org/pyserial/pyserial.svg?branch=master\n   :target: https://github.com/davtoh/intelligent-tracker/releases\n   :alt: Build status\n.. |docs| image:: https://readthedocs.org/projects/pyserial/badge/?version=latest\n   :target: http://intelligent-tracker.readthedocs.io/\n   :alt: Documentation\n.. _`Unofficial Windows Binaries for Python`: http://www.lfd.uci.edu/~gohlke/pythonlibs/\n.. _`OpenCV linux installation`: https://github.com/davtoh/intelligent-tracker/blob/master/install_opencv.sh\n\n\n\nIntelligent Tracker  |build-status| |docs|\n=========================================================\n\nOverview\n========\n\nThis package provides an API and user interface for tracking objects using haarcascades, keypoints and\nother methods that will be integrated in the future.\n\nThe purpose is to create a software to create smart cameras that can detect and follow people\nin a close environment composed of scenes and entries on them like doors or imaginary areas\nwhere people or objects can be counted or statistics can be obtained.\n\nFor now the project is its early stages and the development until the objectives can be reach can take time.\nBut for now it offers a demo in the main.py script which hopefully can convey the intend of the project and be useful to someone.\nThat said, this code does not intent to compete against commercial software but rather complement them for integration\nwith a CCTV system and to not obscure users of what information is being processed from them hence the GPL licence.\n\nLatest:\n\n    - Documentation: http://intelligent-tracker.readthedocs.io/\n    - Project Homepage: https://github.com/davtoh/intelligent-tracker\n\nLicence:\n\n    GPL v3 Licence_\n\nDocumentation\n=============\n\nFor API documentation, usage and examples see files in the \"documentation\"\ndirectory.  The \".rst\" files can be read in any text editor or being converted to\nHTML or PDF using Sphinx_. A HTML version will be available soon.\n\nInstallation\n============\n``pip install intelligent-tracker`` should work for most users.\n\nThe usual setup.py for Python_ libraries are used for the source distribution.\nBut OpenCV must be installed separately usually compiled from source.\n\nTo install OpenCV on windows without much hassle I recommend installing the binaries from\nthe `Unofficial Windows Binaries for Python`_ and for Debian distributions I\nprovide the bash `OpenCV linux installation`_ so that the user can compile\nopenCV (it can take some time). Bear in mind that for Linux it downloads the\nlatest 3.x version.\n\nOnce successfully installed you can import it in python as:\n\n    >>>> import intelligent_tracker as itt\n\nReleases\n========\n\nAll releases follow semantic rules proposed in https://www.python.org/dev/peps/pep-0440/\nand http://semver.org/\n\nTesting and application\n=======================\n\nThis project provides unittest tests under the tests/ folder. As an example we can see the tracker in action:\n\n.. figure:: https://github.com/davtoh/intelligent-tracker/blob/master/documentation/_static/Scene1_f1.png\n    :align: center\n    :scale: 5%\n.. figure:: https://github.com/davtoh/intelligent-tracker/blob/master/documentation/_static/Scene1_f2.png\n    :align: center\n    :scale: 5%\n.. figure:: https://github.com/davtoh/intelligent-tracker/blob/master/documentation/_static/Scene1_f3.png\n    :align: center\n    :scale: 5%\n.. figure:: https://github.com/davtoh/intelligent-tracker/blob/master/documentation/_static/Scene1_f4.png\n    :align: center\n    :scale: 5%\n.. figure:: https://github.com/davtoh/intelligent-tracker/blob/master/documentation/_static/Scene1_f5.png\n    :align: center\n    :scale: 5%\n\nUsage\n=====\n\nOpen your console and type ``python main.py``\n\n\n- Contributions and bug reports are appreciated.\n- author: David Toro\n- e-mail: davsamirtor@gmail.com\n- project: https://github.com/davtoh/intelligent-tracker\n\n.. _Licence: https://github.com/davtoh/intelligent-tracker/LICENSE.rst\n.. _Python: http://python.org/\n.. _Sphinx: http://sphinx-doc.org/\n.. _pyinstaller: http://www.pyinstaller.org/\n.. |build-status| image:: https://travis-ci.org/pyserial/pyserial.svg?branch=master\n   :target: https://github.com/davtoh/intelligent-tracker/releases\n   :alt: Build status\n.. |docs| image:: https://readthedocs.org/projects/pyserial/badge/?version=latest\n   :target: http://intelligent-tracker.readthedocs.io/\n   :alt: Documentation\n.. _`Unofficial Windows Binaries for Python`: http://www.lfd.uci.edu/~gohlke/pythonlibs/\n.. _`OpenCV linux installation`: https://github.com/davtoh/intelligent-tracker/blob/master/install_opencv.sh\n\n\n",
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