How to Install and Uninstall cloudcompare Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 17,2024

1. Install "cloudcompare" package

Please follow the step by step instructions below to install cloudcompare on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install cloudcompare

2. Uninstall "cloudcompare" package

Please follow the guidelines below to uninstall cloudcompare on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove cloudcompare $ sudo apt autoclean && sudo apt autoremove

3. Information about the cloudcompare package on Ubuntu 20.10 (Groovy Gorilla)

Package: cloudcompare
Architecture: amd64
Version: 2.10.3-4build2
Priority: optional
Section: universe/graphics
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Gürkan Myczko
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 40339
Depends: libavcodec58 (>= 7:4.2), libavformat58 (>= 7:4.2), libavutil56 (>= 7:4.0), libc6 (>= 2.29), libgcc-s1 (>= 3.0), libgl1, libglu1-mesa | libglu1, libgomp1 (>= 4.9), libpdal-base10 (>= 1.9.1+ds-1~exp2), libpdal-util10 (>= 1.9.1+ds-1~exp2), libqt5concurrent5 (>= 5.6.0~rc), libqt5core5a (>= 5.12.2), libqt5gui5 (>= 5.1.0), libqt5gui5 (>= 5.7.0) | libqt5gui5-gles (>= 5.7.0), libqt5opengl5 (>= 5.0.2), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.11.0~rc1), libstdc++6 (>= 9), libswscale5 (>= 7:4.0)
Filename: pool/universe/c/cloudcompare/cloudcompare_2.10.3-4build2_amd64.deb
Size: 29005268
MD5sum: 0eb4a6894359d0e91d29ecd88e944ba6
SHA1: 786468262857a9c59ec2caf4d7158e6abc6cb286
SHA256: 775b08bc1c0c232c39424ee67e4c64a7a9040456ce401bee910a7051300f3fb9
SHA512: c3030e6b35e613b7ceb327b5080c02f8137670dd485e67fb90b09e191ab35fafa905fcb5532fc11c18f3b016ec24604c7b658d83dcb6d173981226d79dab5dc0
Homepage: http://www.danielgm.net/cc/
Description-en: 3D point cloud and mesh processing software
This is a 3D point cloud (and triangular mesh) processing software. It has
been originally designed to perform comparison between two 3D points clouds
(such as the ones obtained with a laser scanner) or between a point cloud
and a triangular mesh.
.
It relies on a specific octree structure that enables great performances in
this particular function. It was also meant to deal with huge point clouds
(typically more than 10 millions points, and up to 120 millions with 2 GB
of memory)
Description-md5: e3b2889b460a3d2cdf91469d80a45500