January 2018
Intermediate to advanced
268 pages
6h 20m
English
Content preview from OpenCV 3.x with Python By Example - Second Edition
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We need a classifier model that can be used to detect faces in an image. OpenCV provides an XML file that can be used for this purpose. We use the function CascadeClassifier to load the XML file. Once we start capturing the input frames from the webcam and use the detectMultiScale function to get the bounding boxes for all the faces in the current image, in case frames are not passed in grayscale, this is going to run internally at the method, as grayscaled frames are required to process the detection. The second argument in this function specifies the jump in the scaling factor, as in, if we don't find an image in the current scale, the next size to check will be, in our case, 1.3 times bigger than the current size. ...
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