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52 lines
2.0 KiB
52 lines
2.0 KiB
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dlib C++ library
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Dlib is a modern C++ toolkit containing machine learning algorithms and tools
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for creating complex software in C++ to solve real world problems. See
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http://dlib.net for the main project documentation and API reference.
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COMPILING DLIB C++ EXAMPLE PROGRAMS
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Go into the examples folder and type:
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mkdir build; cd build; cmake .. ; cmake --build .
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That will build all the examples. If you have a CPU that supports AVX
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instructions then turn them on like this:
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mkdir build; cd build; cmake .. -DUSE_AVX_INSTRUCTIONS=1; cmake --build .
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Doing so will make some things run faster.
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COMPILING DLIB Python API
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Before you can run the Python example programs you must compile dlib. Type:
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python setup.py install
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or type
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python setup.py install --yes USE_AVX_INSTRUCTIONS
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if you have a CPU that supports AVX instructions, since this makes some
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things run faster.
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RUNNING THE UNIT TEST SUITE
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Type the following to compile and run the dlib unit test suite:
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cd dlib/test
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mkdir build
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cd build
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cmake ..
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cmake --build . --config Release
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./dtest --runall
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Note that on windows your compiler might put the test executable in a
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subfolder called Release. If that's the case then you have to go to that
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folder before running the test.
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This library is licensed under the Boost Software License, which can be found
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in dlib/LICENSE.txt. The long and short of the license is that you can use
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dlib however you like, even in closed source commercial software.
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Dlib Sponsors:
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This research is based in part upon work supported by the Office of the
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Director of National Intelligence (ODNI), Intelligence Advanced Research
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Projects Activity (IARPA) under contract number 2014-14071600010. The
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views and conclusions contained herein are those of the authors and
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should not be interpreted as necessarily representing the official policies
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or endorsements, either expressed or implied, of ODNI, IARPA, or the U.S.
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Government.
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