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How does this compare to other toolkits?

Although there is a Python frontend, Dlib is really a C++-first toolkit that can be easily integrated in to other C++ applications.

The examples are thoroughly documented, and the code itself has been a great pedagogical tool for me and others I work with. Basically, it's simple and well written.

Last time I used it, the Python package isn't shipped as a wheel, so you have to compile dlib from source using CMake on install. Makes it harder to use for Python devs.

That is correct. When one runs `pip install dlib`, only a .tar.gz file is retrieved. Then the building process takes a long while!

> Collecting dlib

> Downloading dlib-19.22.0.tar.gz (7.4 MB)

> || 7.4 MB 14.7 MB/s

> Building wheels for collected packages: dlib

I had not noticed before because I have only used dlib on Google Colaboratory, where it is thankfully pre-installed.

Nice to know there's a python wrapper, might make it easier to mock up / do initial validation before heading into the long grass.

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