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  • Started. 2020-04-14
  • Drafted. 2020-04-27


NNStreamer: Efficient and flexible stream pipeline framework for complex neural network applications



NNStreamer, a Linux Foundation AI Foundation open source project, is an efficient and flexible stream pipeline framework for complex neural network applications, which was developed and open-sourced by Samsung.


We invite you to visit the GitHub where NNStreamer and its sub projects are developed. Please join our community as a user and contributor. Your contribution is always welcomed!


Get Started

Ubuntu (16.04/18.04)

  • sudo add-apt-repository ppa:nnstreamer/ppa
  • sudo apt-get update
  • sudo apt-get install nnstreamer nnstreamer-caffe2 nnstreamer-tensorflow nnstreamer-tensorflow-lite#

Now, you are ready to use nnstreamer as GStreamer plugins! 

In Tizen 5.5 or higher, use

Use Machine-Learning Inference APIs (Native / .NET) to use NNStreamer in TIzen applications.


Use JCenter repository to use NNStreamer in Android Studio. 


OpenEmbedded's meta-neural-network layer has NNStreamer included.


McOS users may install NNStreamer via Brew taps or build NNStreamer for their own systems.


In general, you may build NNStreamer in any GStreamer-compatible systems.

Usage Examples

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Applications of these screenshots require very short lines of code (click screenshots to look at) and run efficiently in inexpensive embedded devices. They can even be implemented as single-line bash shell scripts with NNStreamer.