Dlib is a modern C++ toolkit containing machine learning algorithms and
tools for creating complex software in C++ to solve real world
problems. It is used in both industry and academia in a wide range of
domains including robotics, embedded devices, mobile phones, and large
high performance computing environments. Dlib's open source licensing
allows you to use it in any application, free of charge.
Auto detected optional dependencies:
- Blas: An implementation of Blas such as blas and atlas
- Lapack: An implementation of Lapack such as lapack
- cblas
- cudatoolkit
Maintained by: Andre Barboza
Keywords: machine,learning,data,analysis,c++,Numerical,Graphical,
ChangeLog: dlib
Homepage:
http://dlib.net/
Download SlackBuild:
dlib.tar.gz
dlib.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
Individual Files: |
README |
dlib.SlackBuild |
dlib.info |
slack-desc |
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