<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Getting started on Lluvia</title><link>https://lluvia.ai/docs/gettingstarted/</link><description>Recent content in Getting started on Lluvia</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 17 Jun 2026 08:19:25 -0500</lastBuildDate><atom:link href="https://lluvia.ai/docs/gettingstarted/index.xml" rel="self" type="application/rss+xml"/><item><title>Mediapipe integration</title><link>https://lluvia.ai/docs/gettingstarted/mediapipe_integration/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://lluvia.ai/docs/gettingstarted/mediapipe_integration/</guid><description>&lt;p&gt;&lt;a href="https://mediapipe.dev/"&gt;Mediapipe&lt;/a&gt; is a cross-platform framework for creating complex Computer Vision and Deep Learning pipelines both for offline and streaming applications. It includes support to OpenCV and TensorFlow. By integrating Lluvia in mediapipe, it is possible to leverage its runtime capabilities as well as the interfacing with other popular frameworks.&lt;/p&gt;
&lt;h2 id="setup"&gt;Setup&lt;a class="td-heading-self-link" href="#setup" aria-label="Heading self-link"&gt;&lt;/a&gt;&lt;/h2&gt;


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&lt;h4 class="alert-heading"&gt;Platform&lt;/h4&gt;

 The following instructions are written for an Ubuntu host system.

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&lt;p&gt;Follow &lt;a href="https://lluvia.ai/docs/gettingstarted/installation/linux/"&gt;the linux instructions&lt;/a&gt; to install the basic dependencies to build lluvia in your host machine.&lt;/p&gt;</description></item></channel></rss>