Face Detection
Explore how to detect faces in images using OpenCV's pre-trained cascade classifiers. Learn to convert images to grayscale, detect multiple faces with the detectMultiScale function, and draw rectangles around detected faces. This lesson helps you understand the practical application of cascade classifiers for face detection in Python, preparing you to implement facial recognition features in your projects.
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In this lesson, we’l learn to detect faces. This technique can be used widely in attendance, surveys, and many other fields. In OpenCV, we use cascade classifiers to detect faces. Cascade classifiers are created through cascade classifier training.
What is cascade classifier training?
Cascade classifier training is a machine learning approach in which a cascade function is trained with lots of positive and negative images to create a cascade file that will be used to detect other images. For example, if we want to detect faces, we collect images with faces and images without faces. Then, we train them in OpenCV and ...