Ubuntu
vlfeat package

vlfeat 0.9.21+full-1build1 source package in Ubuntu

Changelog

vlfeat (0.9.21+full-1build1) mantic; urgency=medium

  * No-change rebuild against octave-abi-58

 -- Graham Inggs <email address hidden>  Mon, 14 Aug 2023 17:33:42 +0000

Upload details

Uploaded by:
Graham Inggs
Uploaded to:
Mantic
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Mantic release universe misc

Downloads

File Size SHA-256 Checksum
vlfeat_0.9.21+full.orig.tar.gz 2.9 MiB 221d7fb5103f004cc90201307fd1acb080c0caf5c2c26435ba1d5307c07e8cce
vlfeat_0.9.21+full-1build1.debian.tar.xz 24.3 KiB 463053d4d580328c015e57687105ed55251e66aca292bc8b3c70e942717b25b2
vlfeat_0.9.21+full-1build1.dsc 2.2 KiB 026b594242f78cb41593af1bf9e12a4bc7e5ec841aecea20b87830f75475bc3d

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Binary packages built by this source

libvlfeat-dev: Computer vision library focussing on visual features and clustering

 VLFeat implements popular computer vision algorithms including MSER, k-means,
 hierarchical k-means, agglomerative information bottleneck, and quick shift. It
 is written in C for efficiency and compatibility, with interfaces in GNU octave
 for ease of use, and detailed documentation throughout
 .
 Development files

libvlfeat-doc: Computer vision library focussing on visual features and clustering

 VLFeat implements popular computer vision algorithms including MSER, k-means,
 hierarchical k-means, agglomerative information bottleneck, and quick shift. It
 is written in C for efficiency and compatibility, with interfaces in GNU octave
 for ease of use, and detailed documentation throughout
 .
 Documentation

libvlfeat1: No summary available for libvlfeat1 in ubuntu noble.

No description available for libvlfeat1 in ubuntu noble.

libvlfeat1-dbgsym: debug symbols for libvlfeat1
octave-vlfeat: Computer vision library focussing on visual features and clustering

 VLFeat implements popular computer vision algorithms including MSER, k-means,
 hierarchical k-means, agglomerative information bottleneck, and quick shift. It
 is written in C for efficiency and compatibility, with interfaces in GNU octave
 for ease of use, and detailed documentation throughout. Note that some of the
 upstream library is under patent protection, and those components (SIFT for
 instance) are not included in this package
 .
 GNU Octave interface