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2.1. Detect Face. We will use the DNN Face Detector for face detection. The model is only 2.7MB and is pretty fast even on the CPU. More details about the face detector can be found in our blog on Face Detection. The face detection is done using the function getFaceBox as shown below. The Python file is face_extractor.py Face detection and extraction First, let’s perform the common steps for the two parts, i.e. importing libraries, loading the face detection model, creating output directory, reading images and detecting faces. Project Import libraries I import os to access various files in the directory.

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