Building Computer Vision Projects with OpenCV 4 and C++
by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
What happened in the code?
The first thing to note is that this code takes two input arguments—the face cascade XML file and the mask image. You can use the haarcascade_frontalface_alt.xml and facemask.jpg files that are provided under the resources folder. We need a classifier model that can be used to detect faces in an image and OpenCV provides a prebuilt XML file that can be used for this purpose. We use the faceCascade.load() function to load the XML file and also check whether the file is loaded correctly. We initiate the video-capture object to capture the input frames from the webcam. We then convert it to grayscale to run the detector. The detectMultiScale function is used to extract the boundaries of all the faces in the input image. ...
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