How to Install and Uninstall libnanoflann-dev Package on Kali Linux
Last updated: January 11,2025
1. Install "libnanoflann-dev" package
Please follow the step by step instructions below to install libnanoflann-dev on Kali Linux
$
sudo apt update
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$
sudo apt install
libnanoflann-dev
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2. Uninstall "libnanoflann-dev" package
This tutorial shows how to uninstall libnanoflann-dev on Kali Linux:
$
sudo apt remove
libnanoflann-dev
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libnanoflann-dev package on Kali Linux
Package: libnanoflann-dev
Source: nanoflann
Version: 1.5.4+ds-1
Installed-Size: 2107
Maintainer: Debian Science Maintainers
Architecture: all
Size: 200964
SHA256: e728ca95281cc42670f25dc82b3deec0a6d7d995321d2cd44b7ef785cb9abbd5
SHA1: dd368f10e1870b11384a62349610d92f492819fc
MD5sum: 1d15356b6dd5d166655a8a6e14ec1c10
Description: C++11 header-only library for Nearest Neighbor Search with KD-Trees
Nanoflann is a fork of the FLANN library. Originally born as a child project
of the Mobile Robot Programming Toolkit, nanoflann is now available as
stand-alone library.
.
It trades some of the flexibility of FLANN for raw execution speed and is much
more memory efficient, as it avoids unnecessary copies of point cloud data.
Description-md5:
Multi-Arch: foreign
Homepage: https://github.com/jlblancoc/nanoflann
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/n/nanoflann/libnanoflann-dev_1.5.4+ds-1_all.deb
Source: nanoflann
Version: 1.5.4+ds-1
Installed-Size: 2107
Maintainer: Debian Science Maintainers
Architecture: all
Size: 200964
SHA256: e728ca95281cc42670f25dc82b3deec0a6d7d995321d2cd44b7ef785cb9abbd5
SHA1: dd368f10e1870b11384a62349610d92f492819fc
MD5sum: 1d15356b6dd5d166655a8a6e14ec1c10
Description: C++11 header-only library for Nearest Neighbor Search with KD-Trees
Nanoflann is a fork of the FLANN library. Originally born as a child project
of the Mobile Robot Programming Toolkit, nanoflann is now available as
stand-alone library.
.
It trades some of the flexibility of FLANN for raw execution speed and is much
more memory efficient, as it avoids unnecessary copies of point cloud data.
Description-md5:
Multi-Arch: foreign
Homepage: https://github.com/jlblancoc/nanoflann
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/n/nanoflann/libnanoflann-dev_1.5.4+ds-1_all.deb