compare_faces(, unknown_face_encoding)Īll the examples are available here. # Now we can see the two face encodings are of the same person with `compare_faces`! results = face_recognition. Unknown_face_encoding = face_recognition. # my_face_encoding now contains a universal 'encoding' of my facial features that can be compared to any other picture of a face! unknown_picture = face_recognition. Import face_recognition picture_of_me = face_recognition. People and it tells you who is in each image: The folder of known people and the folder (or single image) with unknown Then in you simply run the command face_recognition, passing in Next, you need a second folder with the files you want to identify: There should be one image file for each person with theįiles named according to who is in the picture:
The face_recognition command lets you recognize faces in a photograph orįirst, you need to provide a folder with one picture of each person youĪlready know.
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When you install face_recognition, you get two simple command-line
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While Windows isn't officially supported, helpful users have posted instructions on how to install this library:
Pkg install graphics/py-face_recognition Installing on Windows Then, make sure you have cmake installed:įinally, install this module from pypi using pip3 (or pip2 for Python 2): How to install dlib from source on macOS or Ubuntu.Installation Options: Installing on Mac or Linuxįirst, make sure you have dlib already installed with Python bindings: macOS or Linux (Windows not officially supported, but might work).User-contributed shared Jupyter notebook demo (not officially supported): Installation Requirements You can even use this library with other Python libraries to do real-time face recognition: load_image_file( "unknown.jpg")īiden_encoding = face_recognition. Import face_recognition known_image = face_recognition.
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