Training the Face Recognition Program to Recognize People

Learn how to train a face recognition program to identify individuals using the Jetson Xavier NX. Automate the training process for large datasets using the face recognition library, dlib, and pickle to store training data. Explore techniques for encoding facial features, saving the trained model, and efficiently loading results for real-time recognition. Follow along to set up the necessary hardware, including cameras and servo systems, and implement a practical face recognition system on the NVIDIA Jetson platform.

Intro
Coffee
Shoutout
Lesson 14 Recap
Joining Files
Running the Program
Encoding
Pickle
Load
Results