March 2018
Beginner to intermediate
306 pages
9h 54m
English
The object detector is an algorithm that is able to find objects in the image, it computes the parameters of the bounding box inside of which there is an object, and also determines to which category (or class) the object belongs. In this recipe, we're working with detectors for only one category, upright frontal face.
Detectors can be based on various technologies, and usually involve machine learning. This recipe tells you how to use cascade-based detectors. One of the main advantages of this type of detector is its working time, it handles images even faster than real time on modern hardware, and that's why it's still popular.
OpenCV contains a lot of pre-trained detectors for different purposes, you can find bounding boxes ...