vlfeat/vlfeat

Version 1.1.0.0 (3,09 Mo) par Andrea Vedaldi
An open library of computer vision algorithms
2.3
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4,5K téléchargements
Mise à jour 25 août 2022
Afficher la licence sur 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.

Citation pour cette source

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

Compatibilité avec les versions de MATLAB
Créé avec R2011a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Remerciements

A inspiré : 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

Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées

Version Publié le Notes de version
1.1.0.0

Updates the description.
1.0.0.0

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.