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Removed readme since the top level one is a better place to put this information.

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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