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Using Docker for Facial Identification

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29 Jul 2021CPOL4 min read 10.5K   11  
In this article we create a Docker container for this system.
Here we give a short introduction to Docker Containers, then explain why it would be useful for our face recognition system. Then we show how to install Tensorflow image and additional software (Keras, MTCNN). Next we modify the Python code of face identification for launching on the Docker container and demonstrate the recognition on a video.

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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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