<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/bfde72eb2d57485b9d3b2512853c907e&quot; frameborder=&quot;0&quot; width=&quot;1720&quot; height=&quot;1290&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1290</height><width>1720</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1290</thumbnail_height><thumbnail_width>1720</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/bfde72eb2d57485b9d3b2512853c907e-32b78480a1a7684f.gif</thumbnail_url><duration>295.655</duration><title>Point Cloud Classification Visualization in Nova Render</title><description>In this video, I demonstrate how to add point cloud classification visualization in Nova Render using a dataset that already has categories assigned. I explain two methods for adding classes: manually entering them through the interface and importing them from a CSV file. I walk you through the process of creating a CSV file with class codes, labels, and color codes, and show how to import it into Nova Render. After importing, I highlight how to visualize different classes, such as buildings and low vegetation. Please follow along and apply these steps to enhance your point cloud visualization.</description></oembed>