Skip to content
using facenet algorithm
Branch: master
Clone or download
bearsprogrammer Fixed list index out of range errors
Fixed 'list index out of range for multi-faces' error by advice of @rouyunpan
Latest commit 5f20f3d Sep 18, 2017


Real-time face recognition program using Google's facenet.



Pre-trained models

Face alignment using MTCNN

How to use

  • First, we need align face data. So, if you run '' first, the face data that is aligned in the 'output_dir' folder will be saved.
  • Second, we need to create our own classifier with the face data we created.
    (In the case of me, I had a high recognition rate when I made 30 pictures for each person.)
    Your own classifier is a ~.pkl file that loads the previously mentioned pre-trained model ('20170511-185253.pb') and embeds the face for each person.
    All of these can be obtained by running ''.
  • Finally, we load our own 'my_classifier.pkl' obtained above and then open the sensor and start recognition.
    (Note that, look carefully at the paths of files and folders in all .py)


You can’t perform that action at this time.