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1
Introduction
2
Importing Demo Images
3
Activating the Virtual Environment
4
Installing Libraries
5
Setting Up the Virtual Environment
6
Array Shapes
7
Color Space
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Find a Face
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Known encodings
10
Bookkeeping
11
Unknown Face
12
Face Encoding
13
Face Location
14
Face Rectangle
15
Unknown Encoding
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Snazzier
17
Label
18
Change Text
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn face recognition techniques using OpenCV in this comprehensive tutorial. Discover how to train a model with specific faces and detect them in other images. Follow step-by-step instructions to set up a virtual environment, install necessary libraries, and understand key concepts such as array shapes and color spaces. Master the process of finding faces, creating known encodings, and handling unknown faces. Explore face encoding, location, and rectangle drawing techniques. Enhance your skills by implementing snazzier labels and text changes for improved visual output.

AI for Everyone - Face Recognition with OpenCV

Paul McWhorter
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