Skip to content
Sections
>> Trisquel >> Paket >> etiona >> doc >> libvlfeat-doc
etiona  ] [  aramo  ]
[ Källkod: vlfeat  ]

Paket: libvlfeat-doc (0.9.20+dfsg0-2)

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

Hämta libvlfeat-doc

Hämtningar för alla tillgängliga arkitekturer
Arkitektur Paketstorlek Installerad storlek Filer
all 1.467,2 kbyte6184 kbyte [filförteckning]