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AI Demo App
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Overview
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|IOT-YOCTO| has integrated an open-source GStreamer streaming framework for complex neural network applications.

- **NNStreamer**:

    It is an `open-source project <https://nnstreamer.ai/>`_ which was initially developed by Samsung and then transferred to LF AI Foundation as an incubation project.
    It provides a set of `GStreamer plugins <https://nnstreamer.github.io/component-description.html#gstreamer-elements-plugins>`_ that allow 
    GStreamer developers to adopt neural network models easily and efficiently and neural network developers to manage neural network pipelines and their filters easily and 
    efficiently.

    NNStreamer provides the `new GStreamer stream data type and a set of GStreamer elements (plugins) <https://nnstreamer.github.io/component-description.html>`_ to construct media 
    stream pipeline with neural network models. It is well documented through its `online document site <https://nnstreamer.github.io/index.html>`_ and it supports well-known neural 
    network frameworks including Tensorflow, Tensorflow-lite, Caffe2, PyTorch, OpenVINO and ArmNN. 

    |IOT-YOCTO| have provided a new ``tensor_filter`` for Neuron SDK. Users can use ``tensor_filter_neuronsdk`` to create GStreamer media stream pipeline and leverage Genio platform's powerful AI hardware accelerator, 
    such as MDLA. You can find the implementation of the ``tensor_filter_neuronsdk`` in |IOT-YOCTO| NNStreamer source (``$BUILD_DIR/tmp/work/armv8a-poky-linux/nnstreamer/$PV/git/ext/nnstreamer/tensor_filter/tensor_filter_neuronsdk.cc``).

For a detailed introduction and usage guide of the framework, please refer to the:


.. toctree::
    :hidden:

    NNStreamer <nnstreamer>
	
- :doc:`nnstreamer`