Metadata-Version: 1.1
Name: dlib
Version: 18.17.100
Summary: A toolkit for making real world machine learning and data analysis applications
Home-page: https://github.com/davisking/dlib
Author: Davis King
Author-email: davis@dlib.net
License: Boost Software License
Description:  
                                      dlib C++ library
        
        This project is a modern C++ library with a focus on portability and program
        correctness. It strives to be easy to use right and hard to use wrong. Thus, it
        comes with extensive documentation and thorough debugging modes. The library
        provides a platform abstraction layer for common tasks such as interfacing with
        network services, handling threads, or creating graphical user interfaces.
        Additionally, the library implements many useful algorithms such as data
        compression routines, linked lists, binary search trees, linear algebra and
        matrix utilities, machine learning algorithms, XML and text parsing, and many
        other general utilities.
        
        Documentation:  
          There should be HTML documentation accompanying this library.  But if there
          isn't you can download it from http://dlib.net
        
        Installation:
          To use this library all you have to do is extract the library somewhere, make
          sure the folder *containing* the dlib folder is in your include path, and
          finally add dlib/all/source.cpp to your project.
        
          An example makefile that uses this library can be found here:
          dlib/test/makefile. It is the makefile used to build the regression test suite
          for this library. There is also a CMake makefile that builds the regression
          test suite at dlib/test/CMakeLists.txt and another CMake makefile that builds
          all the example programs in the examples folder.
        
          For further information see the accompanying HTML documentation or visit
          http://dlib.net
        
        The license for this library can be found in LICENSE.txt.  But the long and
        short of the license is that you can use this code however you like, even in
        closed source commercial software.
        
        Dlib Sponsors:
          This code development was funded by the Office of the Director of National
          Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA),
          via IARPA R&D Contract No. 2014-14071600010
        
        
Keywords: dlib,Computer Vision,Machine Learning
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Microsoft
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: C++
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Software Development
