PCL_CLUSTER_EXTRACTION(1)

💖 PCL_CLUSTER_EXTRACTION 💖

okay bestie, welcome to the pcl_cluster_extraction page — section 1, User Commands, and yes it's giving "tiny tool, big point-cloud energy" ✨

🌸 NAME 🌸

pcl_cluster_extraction — literally just pcl_cluster_extraction. that's it. that's the name. iconic behaviour honestly 🎀

🦋 DESCRIPTION 🦋

so the syntax is, no cap, exactly this:

pcl_cluster_extraction input.pcd output.pcd <options>

it extracts point clusters using pcl::EuclideanClusterExtraction 💅 if you want more info on it (and bestie, you do), just run:

pcl_cluster_extraction -h

and the options you can pass are, in their own words:

• -min X — use a minimum of X points peer cluster (default: 100)
• -max X — use a maximum of X points peer cluster (default: 25000)
• -tolerance X — the spacial distance between clusters (default: 0.020000)

that's the whole menu, three little flags, and every single one of them matters 🫶

👑 AUTHOR 👑

pcl_cluster_extraction is part of the Point Cloud Library (PCL) — www.pointclouds.org 🌈

and fr fr, the Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. main character library energy, honestly 💜

this manual page was written by Leopold Palomo-Avellaneda <leo@alaxarxa.net> with the help of the help2man tool and some handmade arrangement for the Debian project (and may be used by others). shoutout Leopold, we love a documented tool 🎀

aaaand that's the whole page, bestie 💖 this is pcl_cluster_extraction version 1.7.1, dated May 2014 — oldie but a goodie, and it still slays. byeee ✨🦋🌸