Strom:
67dec11b58
11.0
12.0
12.1
12.2
13.0
13.1
13.37
14.0
14.1
14.2
15.0
bedlam
bedlam-name-fixes
dive
erik
gitignore
libressl-gopher-test
master
misc-fixes
python-renames
rworkman
urchlay
user/aclemons/updates
user/anddt/development/acpica
user/anddt/development/glm
user/anddt/development/gnustep-base
user/anddt/development/gnustep-make
user/anddt/games/assaultcube-reloaded
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user/anddt/ham/chirp
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user/anddt/libraries/libtorrent
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user/anddt/misc/discount
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user/anddt/network/putty
user/anddt/network/rclone
user/anddt/network/rtorrent
user/anddt/network/sshguard
user/anddt/network/strongswan
user/anddt/network/umurmur
user/anddt/network/yt-dlp
user/anddt/network/znc
user/anddt/office/gnumeric
user/anddt/office/sigil
user/anddt/system/FontAwesome
user/anddt/system/conky
user/anddt/system/fakeroot
user/anddt/system/hplip-plugin
user/anddt/system/postgresql
user/anddt/system/testdisk
user/anddt/system/worker
user/anddt/system/xen
user/anddt/system/zzzfm
user/belka/updates
user/chris.willing/updates
user/dslackw/updates
user/elyk/updates
user/kingbeowulf/updates
user/mario/updates
user/ponce/updates
user/pprkut/updates
willysr
wxWidgets-wip
GPG-KEY
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dsomero
d0c108251a
various: Update find command to match template.
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| flann.SlackBuild | d0c108251a various: Update find command to match template. | 11 rokov pred |
| flann.info | 4248415dde Add REQUIRED field to .info files. | 12 rokov pred |
| slack-desc | 610e8461bb various: Fix slack-desc formatting and comment nit picks. | 11 rokov pred |
README
FLANN is a library for performing fast approximate nearest neighbor searches
in high dimensional spaces. It contains a collection of algorithms we found
to work best for nearest neighbor search and a system for automatically
choosing the best algorithm and optimum parameters depending on the dataset.
FLANN is written in C++ and contains bindings for the following languages:
C, MATLAB and Python. The Python bindings will need numpy, and the MATLAB
bindings will need MATLAB installed and with its binaries directory set into
the PATH. If you want to build the MATLAB bindings, set the environment
variable WITH_MATLAB to 1.
in high dimensional spaces. It contains a collection of algorithms we found
to work best for nearest neighbor search and a system for automatically
choosing the best algorithm and optimum parameters depending on the dataset.
FLANN is written in C++ and contains bindings for the following languages:
C, MATLAB and Python. The Python bindings will need numpy, and the MATLAB
bindings will need MATLAB installed and with its binaries directory set into
the PATH. If you want to build the MATLAB bindings, set the environment
variable WITH_MATLAB to 1.