nnstreamer registerer Copyright (C) 2018 Myung\+Joo Ham \href{mailto:myungjoo.ham@samsung.com}{\texttt{ myungjoo.\+ham@samsung.\+com}}

This library is free software; you can redistribute it and/or modify it under the terms of the G\+NU Library General Public License as published by the Free Software Foundation; version 2.\+1 of the License.

This library is distributed in the hope that it will be useful, but W\+I\+T\+H\+O\+UT A\+NY W\+A\+R\+R\+A\+N\+TY; without even the implied warranty of M\+E\+R\+C\+H\+A\+N\+T\+A\+B\+I\+L\+I\+TY or F\+I\+T\+N\+E\+SS F\+OR A P\+A\+R\+T\+I\+C\+U\+L\+AR P\+U\+R\+P\+O\+SE. See the G\+NU Library General Public License for more details.\hypertarget{index_intro}{}\doxysection{Introduction}\label{index_intro}

\begin{DoxyItemize}
\item Introduction \+: Neural Network Streamer for AI Projects 
\end{DoxyItemize}\hypertarget{index_Program}{}\doxysection{Program Name}\label{index_Program}

\begin{DoxyItemize}
\item Program Name \+: nnstreamer
\item Program Details \+: It provides a neural network framework connectivities (e.\+g., tensorflow, caffe) for gstreamer streams. Efficient Streaming for AI Projects\+: Neural network models wanted to use efficient and flexible streaming management as well. Intelligent Media Filters!\+: Use a neural network model as a media filter / converter. Composite Models!\+: Allow to use multiple neural network models in a single stream instance. Multi Model Intelligence!\+: Allow to use multiple sources for neural network models. 
\end{DoxyItemize}\hypertarget{index_INOUTPUT}{}\doxysection{Input/output data}\label{index_INOUTPUT}

\begin{DoxyItemize}
\item I\+N\+P\+UT \+: None
\item O\+U\+T\+P\+UT \+: None 
\end{DoxyItemize}\hypertarget{index_CREATEINFO}{}\doxysection{Code information}\label{index_CREATEINFO}

\begin{DoxyItemize}
\item Initial date \+: 2018/06/14
\item Version \+: 0.\+1 
\end{DoxyItemize}