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Hybrid Edge AI Face Alignment

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20 Jul 2021CPOL5 min read 8.6K   287   2  
In this article I’ll explain how to perform the alignment based on the face landmarks the detector has found.
Here we'll give brief instructions on how to install MTCNN, TensorFlow and Keras on Raspberry Pi. Then we launch face detection on a video file to test the performance, followed by a short explanation on how to run the detection in real-time mode. Finally, we look at how we can speed up the detection using a motion detector.

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This article is part of the series 'Hybrid Edge AI for Facial Recognition View All

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
Team Leader VIPAKS
Russian Federation Russian Federation
EDUCATION:

Master’s degree in Mechanics.

PhD degree in Mathematics and Physics.



PROFESSIONAL EXPERIENCE:

15 years’ experience in developing scientific programs
(C#, C++, Delphi, Java, Fortran).



SCIENTIFIC INTERESTS:

Mathematical modeling, symbolic computer algebra, numerical methods, 3D geometry modeling, artificial intelligence, differential equations, boundary value problems.

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