Building your own dystopic surveillance state with Python
summary
Step-by-step demo of face detection and recognition in Python using the face_recognition library (author calls it mediocre) plus OpenCV models: detect faces with face_locations, extract 68 facial landmarks via raw_face_landmarks, align faces with affine transforms to create thumbnails, compute 128-dimensional encodings, cluster encodings with agglomerative clustering using a ~0.5 threshold, identify the most photographed person in a 1500‑photo corpus, run a gender/age classifier, and a live webcam demo that mostly works but fails on glasses.
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chapters (7)
- 0:00Introduction to surveillance tech
- 2:37Python face recognition demo
- 10:45Group photo analysis
- 12:08Encoding and clustering faces
- 15:40Gender classification results
- 17:06Live facial recognition demo
- 20:17Q&A on classifiers
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