vlfeat/vlfeat

Versione 1.1.0.0 (3,09 MB) da Andrea Vedaldi
An open library of computer vision algorithms
2.3
(8)
4,7K download
Aggiornato 25 ago 2022
Visualizza la licenza su GitHub

Please refer to the project homepage (http://www.vlfeat.org) for software releases, binary packages, documentation, examples, and tutorials.
VLFeat is a popular library of computer vision algorithms with a focus on local features (SIFT, LIOP, Harris Affine, MSER, etc) and image understanding (HOG, Fisher Vectors, VLAD, large scale discriminative learning).

VLFeat is used in research for fast prototyping, as well as in education as the basis of several computer vision laboratories. It is fully integrated in MATLAB, but provides a C API as well.

VLFeat has been under development since 2007 and has been cited in more than 950 scientific publications.

VLFeat is authored by a team of computer vision researchers at Oxford, UCLA, and several other institutions as well as individual contributors. It is released under the BSD license.

Cita come

Andrea Vedaldi (2024). vlfeat/vlfeat (https://github.com/vlfeat/vlfeat), GitHub. Recuperato .

Compatibilità della release di MATLAB
Creato con R2011a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
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Ispirato: electroCUDA

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apps

apps/recognition

toolbox

toolbox/aib

toolbox/demo

toolbox/fisher

toolbox/geometry

toolbox/gmm

toolbox/imop

toolbox/kmeans

toolbox/misc

toolbox/mser

toolbox/plotop

toolbox/quickshift

toolbox/sift

toolbox/slic

toolbox/special

toolbox/vlad

toolbox/xtest

Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione Pubblicato Note della release
1.1.0.0

Updates the description.
1.0.0.0

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.