W I L L K O M M E N
Universität Freiburg - Institut für Informatik
Lehrstuhl für Mustererkennung und Bildverarbeitung (LMB)
[-]LMB
   [+]People
   [+]Research
   [+]Studien-, Diplom- und Bachelor... ()
   [-]Lectures
    |  |-Lehrveranstaltunge WS ()
    |  |-Specialisation block
    |  | Multimedia Courses:
    |  |-Kursvorlesung Mustererkennung
    |  | Courses:
    |  |-Dig. Bildverarbeitung I ()
    |  |-Dig. Bildverarbeitung II ()
    |  |-Computer Vision ()
    |  |-Computer Vision II ()
    |  |-3D Image Analysis
    |  |-Dig. Sig. u. Bildver. in APL ()
    |  | Seminars:
    |  |-Image Processing Toolbox WS09/10 ()
    |  |-Bildsegmentierung
    |  |-Image Processing Toolbox ()
    |  |-Laserscanner, 3D Rekons...  ()
    |  |-Biometrie, Fingerabdruck, ... ()
    |  |-Inhaltsbasierte Bildsuche ()
    |  |-Tomographie ()
    |  |-Mustererkennung mit SVM ()
    |  |-Oberseminar Bildver., ... ()
    |  | Lab sessions:
    | [+]Lab Course I
    | [+]Lab Course II
    |-Events
    |-Publications
   [+]Awards
   [+]Jobs/Vacancies
    |-TILDA
   [-]Software
    |  |-Presto-Box
    |  |-liblmbcam
    | [-]LIBSVMTL
    |  |  |-Licence
    |  |  |-Download & Installation
    |  |  |-Library Overview
    |  | [+]Applications
    |  |  `-Comparison to LIBSVM
    | [+]imagej_plugins
    |  `-xuvtools
   [+]Interna ()


 Printer optimized version of this page

[keine Deutsche Seite verfügbar]

Command Line Applications

libsvmTL also provides some commandline applications:

  • svmtl: for Dense Feature Vectors
  • svmtl_sparse: for Sparse Feature vectors
  • svmtl_nc: Dense Feature Vectors stored in NetCDF files
  • sparse_to_plain: convert a file with sparse feature vectors to a file with dense feature fectors
  • sparse_to_nc: convert a file with sparse feature vectors to NetCDF files (one file per feature vector)

Examples

Example usage of command line applications

  • ... will follow soon ...