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<center><h1>Using dlib from Python</h1></center>
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<center><h1>Using dlib from Python</h1></center>
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<p>
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<p>
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Go to the base folder of the dlib repository and run <tt>python setup.py install</tt>.
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Either run <tt>pip install dlib --verbose</tt> or grab the latest sources
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Once that command finishes running
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from github, go to the base folder of the dlib repository,
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you are ready to use dlib from Python. Note that you need to
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and run <tt>python setup.py install</tt>. Once either of these commands
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have CMake and a working C++ compiler installed for this to
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finishes running you are ready to use dlib from Python. Note
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work. </p>
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that you need to have CMake and a working C++ compiler
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installed for this to work.
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</p>
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<p>Also note that various optional features like GUI support (e.g.
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<p>
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dlib.image_window) and CUDA acceleration will be automatically enabled or
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Also note that various optional features like GUI support (e.g.
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disabled based on what is available on your computer. When you run
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dlib.image_window) and CUDA acceleration will be automatically
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the install command it will print messages telling you what it is
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enabled or disabled based on what is available on your computer.
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using. Read those messages and take appropriate action if you
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When you run the install command it will print messages telling
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don't like the results. For example, Linux and OSX users may have
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you what it is using. Read those messages and take appropriate
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to install libX11 to use the GUI tools. If you care about this
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action if you don't like the results. For example, Linux and
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then read the messages since they tell you how to get these
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OSX users may have to install libX11 to use the GUI tools. If
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optional features installed.
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you care about this then read the messages since they tell you
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how to get these optional features installed.
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</p>
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</p>
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<p>
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<p>
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Alternatively, if you want to add more python bindings to dlib's
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Alternatively, if you want to add more python bindings to dlib's
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