How to Install and Uninstall python3-scikit-fmm Package on Kali Linux
Last updated: January 11,2025
Deprecated! Installation of this package may no longer be supported.
1. Install "python3-scikit-fmm" package
This guide covers the steps necessary to install python3-scikit-fmm on Kali Linux
$
sudo apt update
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$
sudo apt install
python3-scikit-fmm
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2. Uninstall "python3-scikit-fmm" package
Learn how to uninstall python3-scikit-fmm on Kali Linux:
$
sudo apt remove
python3-scikit-fmm
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-scikit-fmm package on Kali Linux
Package: python3-scikit-fmm
Source: scikit-fmm (2022.08.15-4)
Version: 2022.08.15-4+b1
Installed-Size: 251
Maintainer: Bdale Garbee
Architecture: amd64
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1), python3 (<< 3.13), python3 (>= 3.11~), python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3:any
Size: 47112
SHA256: 13cd84636cb0ade84f489b1a9ebd597432aab464385dda43456aa33e16b0b144
SHA1: b5faaaababb9122b6ed67e58440d895ed954c2bf
MD5sum: e16d6ef0e077aa6128324223ba9d989d
Description: fast marching method extension (Python 3)
This module implements the fast marching method, used to model the
evolution of boundaries and interfaces in a variety of application areas.
More specifically, the fast marching method is a numerical technique for
finding approximate solutions to boundary value problems of the Eikonal
equation:
.
F(x) | grad T(x) | = 1
.
Typically, such a problem describes the evolution of a closed curve as
a function of time T with speed F(x)>0 in the normal direction at a
point x on the curve. The speed function is specified, and the time at
which the contour crosses a point x is obtained by solving the
equation.
.
scikit-fmm provides functions to calculate the signed distance and travel
time to an interface described by the zero contour of the input array phi.
Description-md5:
Homepage: https://github.com/scikit-fmm/scikit-fmm/
Section: python
Priority: optional
Filename: pool/main/s/scikit-fmm/python3-scikit-fmm_2022.08.15-4+b1_amd64.deb
Source: scikit-fmm (2022.08.15-4)
Version: 2022.08.15-4+b1
Installed-Size: 251
Maintainer: Bdale Garbee
Architecture: amd64
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 13.1), python3 (<< 3.13), python3 (>= 3.11~), python3-numpy (>= 1:1.22.0), python3-numpy-abi9, python3:any
Size: 47112
SHA256: 13cd84636cb0ade84f489b1a9ebd597432aab464385dda43456aa33e16b0b144
SHA1: b5faaaababb9122b6ed67e58440d895ed954c2bf
MD5sum: e16d6ef0e077aa6128324223ba9d989d
Description: fast marching method extension (Python 3)
This module implements the fast marching method, used to model the
evolution of boundaries and interfaces in a variety of application areas.
More specifically, the fast marching method is a numerical technique for
finding approximate solutions to boundary value problems of the Eikonal
equation:
.
F(x) | grad T(x) | = 1
.
Typically, such a problem describes the evolution of a closed curve as
a function of time T with speed F(x)>0 in the normal direction at a
point x on the curve. The speed function is specified, and the time at
which the contour crosses a point x is obtained by solving the
equation.
.
scikit-fmm provides functions to calculate the signed distance and travel
time to an interface described by the zero contour of the input array phi.
Description-md5:
Homepage: https://github.com/scikit-fmm/scikit-fmm/
Section: python
Priority: optional
Filename: pool/main/s/scikit-fmm/python3-scikit-fmm_2022.08.15-4+b1_amd64.deb