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Source: vlfeat
Section: science
Priority: optional
Build-Depends: dpkg-dev (>= 1.22.5), debhelper (>= 11), dh-exec, octave-dev, dh-octave,
transfig, ghostscript, librsvg2-bin, texlive-latex-base, imagemagick,
python3, python3-pygments, doxygen, rsync, groff, debhelper-compat (= 13)
Build-Conflicts: graphicsmagick-imagemagick-compat
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Dima Kogan <dkogan@debian.org>
Standards-Version: 4.7.2
Homepage: https://www.vlfeat.org
Vcs-Git: https://salsa.debian.org/science-team/vlfeat.git
Vcs-Browser: https://salsa.debian.org/science-team/vlfeat
Package: libvlfeat1t64
Provides: ${t64:Provides}
Replaces: libvlfeat1
Breaks: libvlfeat1 (<< ${source:Version})
Section: libs
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: 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
Package: libvlfeat-dev
Section: libdevel
Architecture: any
Multi-Arch: same
Pre-Depends: ${misc:Pre-Depends}
Depends: ${misc:Depends}, libvlfeat1t64 (= ${binary:Version})
Recommends: libvlfeat-doc
Description: development files for VLFeat
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
Package: libvlfeat-doc
Section: doc
Architecture: all
Depends: ${misc:Depends}, libjs-mathjax
Replaces: libvlfeat-dev (<< 0.9.21+dfsg0-1)
Breaks: libvlfeat-dev (<< 0.9.21+dfsg0-1)
Description: documentation for VLFeat
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
Package: octave-vlfeat
Section: libs
Architecture: any
Pre-Depends: ${misc:Pre-Depends}
Multi-Arch: same
Depends: ${shlibs:Depends}, ${misc:Depends}, libvlfeat1t64 (>= ${binary:Version}),
${octave:Depends}
Recommends: libvlfeat-doc
Description: GNU Octave binding for VLFeat
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
|
