Boost.Python: As the name of this library suggests, Boost.Python provides interoperability between the C++ and Python programming language.Boost provides implementations for linear algebra, multithreading, basic image processing, and unit testing, just to name a few. Boost: Boost is a collection of peer-reviewed (i.e., very high quality) C++ libraries that help programmers not get caught up in reinventing the wheel.The dlib library only has four primary prerequisites: Over the next few weeks we’ll be exploring some of these techniques (especially facial landmark detection), so definitely take the time now to get dlib configured and installed on your system. The documentation for dlib is also quite fantastic.įrom a computer vision perspective, dlib has a number of state-of-the-art implementations, including:
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How to install dlibĭeveloped by Davis King, the dlib C++ library is a cross-platform package for threading, networking, numerical operations, machine learning, computer vision, and compression, placing a strong emphasis on extremely high-quality and portable code.
To learn how to install dlib with Python bindings on your system, just keep reading.
Two weeks ago I interviewed Davis King, the creator and chief maintainer of the dlib library. Click here to download the source code to this post
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