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<h2 id="getting-started-ubuntuppa-install">Getting Started: Ubuntu-PPA Install</h2>
<h3 id="install-via-ppa-repository-ubuntu">Install via PPA repository (Ubuntu)</h3>
<p>The nnstreamer releases are at a PPA repository. In order to install it, use:</p>
<pre><code class="language-bash">$ sudo apt-add-repository ppa:nnstreamer
$ sudo apt install nnstreamer
</code></pre>
<h3 id="additional-plugins-available">Additional plugins available</h3>
<ul>
<li>nnstreamer-caffe2 : Allows to use caffe2 models in a pipeline. (From pytorch 1.3.1 by default)</li>
<li>nnstreamer-cpp : Allows to use C++ classes as filters of a pipeline.</li>
<li>nnstreamer-cpp-dev : Required to build C++ class-filters.</li>
<li>nnstreamer-dev : Required to build C function-filters and to build your own nnstreamer plugins.</li>
<li>nnstreamer-edgetpu : Allows to use edge-TPU in a pipeline.</li>
<li>nnstreamer-flatbuf : Allows to convert-from and decode-to flatbuf streams.</li>
<li>nnstreamer-misc: Provides additional gstreamer plugins for nnstreamer pipelines. Included plugins: join.</li>
<li>nnstreamer-openvino : Allows to use OpenVINO (Intel), enabling Movidius-X.</li>
<li>nnstreamer-protobuf : Allows to convert-from and decode-to protobuf streams.</li>
<li>nnstreamer-python2 : Allows to use python2 classes as filters of a pipeline.</li>
<li>nnstreamer-python3 : Allows to use python3 classes as filters of a pipeline.</li>
<li>nnstreamer-pytorch : Allows to use Pytorch models in a pipeline. (From pytorch 1.3.1 by default)</li>
<li>nnstreamer-tensorflow : Allows to use TensorFlow models in a pipeline. (From tensorflow 1.13.1 by default)</li>
<li>nnstreamer-tensorflow-lite : Allows to use TensorFlow-lite models in a pipeline. (From tensorflow 1.13.1 by default)</li>
</ul>
<p>For a full list of nnstreamer plugins run:</p>
<pre><code class="language-bash">$ apt-cache search nnstreamer
</code></pre>
<h3 id="if-you-want-to-use-different-versions-of-tensorflow-or-pytorch">If you want to use different versions of TensorFlow or PyTorch</h3>
<h4 id="safe-method-need-rebuild">Safe method (need rebuild)</h4>
<p>You need to rebuild nnstreamer's corresponding subplugins (e.g., nnstreamer-tensorflow) with the neural network framework version you want to use.</p>
<ul>
<li>You may configure/update, build with pdebuild/debuild, and install its resulting .deb packages <a href="getting-started-ubuntu-debuild.html">Ubuntu: Pbuilder / Pdebuild</a>.</li>
<li>You may configure/update, build with meson/ninja, and install binaries with ninja <a href="getting-started-meson-build.html">Linux generic: build with meson and ninja</a>: For advanced users with feature customization.</li>
<li>Be careful on install paths and duplicated installation. You need to check the configuration (/etc/nnstreamer.ini and env-vars)</li>
</ul>
<h4 id="unsafe-method-no-need-for-rebuild">Unsafe method (no need for rebuild)</h4>
<p>Try to let prebuilt nnstreamer binaries use another versions of tensorflow/pytorch installed. Theoretically, it should work by simply replacing tensorflow/pytorch with different versions. Unless symbols and their semantics are changed, it should work. (but that happens often with neural network frameworks, which are still not that stable.)</p>
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