Build Your Own Face Recognition Tool With Python – Real Python

Abstraction: End-to-end Python face recognition app using face_recognition library

Key points:

• Uses the face_recognition library (backed by dlib) with HOG (CPU) or CNN (GPU) model for face location
• Training encodes known faces as 128-dimensional numeric vectors saved to encodings.pkl via pickle, enabling reuse without re-computation
• Recognition uses compare_faces() + Counter voting: each known encoding casts a vote, most votes wins; unmatched faces labeled "Unknown"
• Bounding boxes and name labels drawn on output images using Pillow's ImageDraw
• CLI built with argparse supports --train, --validate, and --test -f <image> subcommands
• Validation loop runs recognize_faces() over all images in validation/ directory to assess model accuracy

Connections: Dlib · Face Recognition · Face Detection · Transfer Learning

Source: https://realpython.com/face-recognition-with-python/