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All designed to be highly modular, quick to execute, and simple to use via a clean and modern c++ api. This example uses the pretrained dlib_face_recognition_resnet_model_v1 model which is freely available from the dlib web site. If (argc = = 1) {.

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Its design is heavily influenced by ideas from design by contract. Dlib contains a wide range of machine learning algorithms. So you should be able to use cv_image objects.

Dlib's open source licensing allows you to use it in any application, free of charge.

This model has a 99.38% accuracy on the standard lfw face. ### compiling/installing the dlib python interface# you can install dlib using the command:# pip install dlib## alternatively, if you want to compile dlib yourself then go into the. Using this class template you can turn an opencv image into something that looks like a normal dlib style image object. To follow or participate in the development of dlib subscribe to dlib on github.

// dlib comes with example images in the examples/faces folder so give // those as arguments to this program. In visual studio, the easiest way to do this is to add all the libjpeg, libpng, and zlib source files in the dlib/external folder into your project and also define the. We will take these filenames in as command line arguments.

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