vlfeat 0.9.21+full-2 source package in Ubuntu

Changelog

vlfeat (0.9.21+full-2) unstable; urgency=medium

  * Build requires the full imagemagick (Closes: #1037988). Thanks to
    Rafael Laboissière <email address hidden>
  * More thorough build cleanup (Closes: #1046145)

 -- Dima Kogan <email address hidden>  Sat, 27 Jan 2024 14:26:12 -0800

Upload details

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

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Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
vlfeat_0.9.21+full-2.dsc 2.3 KiB addee5c0f846c3c698300c9432f9066ddd75c586eb11ce480d86fc1cc9ba4468
vlfeat_0.9.21+full.orig.tar.gz 2.9 MiB 221d7fb5103f004cc90201307fd1acb080c0caf5c2c26435ba1d5307c07e8cce
vlfeat_0.9.21+full-2.debian.tar.xz 24.4 KiB 6ea5ae650f26794c1dd1d3952dba88c8c5e0d7996f0349ab1d91622de95b5542

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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: No summary available for libvlfeat1-dbgsym in ubuntu noble.

No description available for libvlfeat1-dbgsym in ubuntu noble.

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