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<h1 id="installing-nnstreamer-on-macos">Installing NNStreamer on macOS</h1>
<p><strong>DISCLAIMER</strong>: This manual is work-in-progress and needs to be updated.
Specifically, only PyTorch support is covered for now.</p>
<h2 id="prerequisites">Prerequisites</h2>
<p>The following dependencies are needed for installing and building:</p>
<ul>
<li>Apple's Clang >= 10.0.0</li>
<li>
<a href="https://brew.sh/">Homebrew</a> for installing dependencies</li>
</ul>
<h2 id="installing-via-homebrew">Installing via Homebrew</h2>
<p>The simplest way to install NNStreamer on macOS is through our third-party
Homebrew repository:</p>
<pre><code class="language-bash">$ brew tap nnstreamer/neural-network
$ brew install nnstreamer
</code></pre>
<h2 id="building-from-source">Building from source</h2>
<p>Note that most frameworks will be disabled during the configuration, if you
manage to make NNStreamer work on this platform with your preferred framework,
please provide a pull request with an update of this doc!</p>
<p>Install the necessary dependencies:</p>
<pre><code class="language-bash">$ brew install meson ninja pkg-config cmake libffi glib \
gstreamer gst-plugins-base gst-plugins-good numpy
</code></pre>
<p>If you need to run PyTorch models:</p>
<pre><code class="language-bash">$ brew install libtorch
</code></pre>
<p>Clone NNStreamer's repository:</p>
<pre><code class="language-bash">$ git clone https://github.com/nnstreamer/nnstreamer.git
$ cd nnstreamer
</code></pre>
<p>Optionally checkout a recent version more stable than the main branch, for
instance:</p>
<pre><code class="language-bash">$ git checkout v2.1.1
</code></pre>
<p>Configure the build with <a href="https://mesonbuild.com">meson</a>:</p>
<pre><code class="language-bash">$ meson build \
--prefix=/usr/local \
-Dwerror=false -Denable-test=false
</code></pre>
<p>The target files will be installed in <code>/usr/local/lib/gstreamer-1.0</code>,
<code>/usr/local/lib/nnstreamer</code>, <code>/usr/local/include/nnstreamer</code> and
<code>/usr/local/etc/</code>.</p>
<p>Finally build and install using <a href="https://ninja-build.org/">ninja</a>:</p>
<pre><code class="language-bash">$ ninja -C build install
</code></pre>
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