vlfeat 0.9.17+dfsg0-4 source package in Ubuntu
Changelog
vlfeat (0.9.17+dfsg0-4) unstable; urgency=low * Build fixes to work on a wider array of machines: - No longer using SSE or AVX, since the target may not have those - No longer building x86-specific code on non-x86 boxes -- Dima Kogan <email address hidden> Mon, 23 Dec 2013 13:35:09 -0800
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
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vlfeat_0.9.17+dfsg0-4.dsc | 1.9 KiB | 294e3faad35135d14356e1c2b4e0d5f63dde12634b9dd292a00796f32a94a9a0 |
vlfeat_0.9.17+dfsg0.orig.tar.gz | 2.6 MiB | 735542d15bd737058de78b3741cfb6bd284e3cbc7dfbd4af75309b72c0e40c03 |
vlfeat_0.9.17+dfsg0-4.debian.tar.gz | 10.1 KiB | 7aefa517e4f00c8cd5680dc08b88d612536317efaffe67a170ddebafed3e9441 |
Available diffs
No changes file available.
Binary packages built by this source
- libvlfeat-dev: Computer vision library focussing on visual features and clustering
VLFeat implements popular computer vision algorithms including SIFT, 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 SIFT, 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
- libvlfeat0: Computer vision library focussing on visual features and clustering
VLFeat implements popular computer vision algorithms including SIFT, 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
- libvlfeat0-dbg: Computer vision library focussing on visual features and clustering
VLFeat implements popular computer vision algorithms including SIFT, 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
.
Debug symbols
- octave-vlfeat: Computer vision library focussing on visual features and clustering
VLFeat implements popular computer vision algorithms including SIFT, 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
.
GNU Octave interface