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is accomplished using an Inception-based neural network trained in TensorFlow on the FER2013 dataset. Face detection is accomplished using OpenCV's Haar cascade.\n\nPlay\n====\n\nVisit https://partypi.net with Desktop Chrome or Firefox.\n\nAwards, Press, Demos\n====================\n\n- `Featured \u003chttps://software.intel.com/en-us/blogs/2017/08/23/intel-developer-mesh-editor-s-picks-august-2017\u003e`_ in the Intel Developer Mesh Editor's Picks (August 2017)\n- Awarded the 2017 Intel Hack Challenge prize\n- The technology was demonstrated at Intel's AI booth at NIPS 2017\n- Party Pi was demoed for students and faculty at the 2016 and 2017 Osnabrück University Institute of Cognitive Science Christmas parties\n- Received the 2018 Open Source Software Prize from Intevation GmbH\n\nAuthor\n======\n\n`Justin Shenk`_ (`@JustinShenk`_) created Party Pi.\n\n.. _Justin Shenk: https://linkedin.com/in/JustinShenk/\n.. _@JustinShenk: https://github.com/JustinShenk/\n\nLicense\n=======\n\n`MIT \u003chttps://github.com/JustinShenk/party-pi/blob/master/LICENSE\u003e`_\n\n.. |license| image:: https://img.shields.io/badge/license-MIT-blue.svg\n.. |PyPi| image:: https://badge.fury.io/py/partypi.svg\n    :target: https://badge.fury.io/py/partypi\n    :alt: PyPi Badge\n.. |nbsp| unicode:: 0xA0\n   :trim:\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjustinshenk%2Fparty-pi","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjustinshenk%2Fparty-pi","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjustinshenk%2Fparty-pi/lists"}