A Python and C++ library for the detection and recognition of persons.
Continuous before learning model in the process of recognition.
The video is available to the top of the portfolio in the resume section!
https://www.youtube.com/watch?v=P45HTL08IaM
Face detection 0.04 ~ 0.1 sec/frame
Learning features of each face ~0.2 sec/face on avr CPU
Face Recognition:
High accuracy more then 97.5%, Sensitivity ~ 75%
Very fast searching in faces database (500k faces per second)
Live learning during the recognition process
Continuous before learning model in the process of recognition.
The video is available to the top of the portfolio in the resume section!
https://www.youtube.com/watch?v=P45HTL08IaM
Face detection 0.04 ~ 0.1 sec/frame
Learning features of each face ~0.2 sec/face on avr CPU
Face Recognition:
High accuracy more then 97.5%, Sensitivity ~ 75%
Very fast searching in faces database (500k faces per second)
Live learning during the recognition process