September 2015
Intermediate to advanced
266 pages
5h 38m
English
Content preview from Learning OpenCV 3 Computer Vision with Python (Update)Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Getting Haar cascade data
Once you have a copy of the source code of OpenCV 3, you will find a folder, data/haarcascades.
This folder contains all the XML files used by the OpenCV face detection engine to detect faces in still images, videos, and camera feeds.
Once you find haarcascades, create a directory for your project; in this folder, create a subfolder called cascades, and copy the following files from haarcascades into cascades:
haarcascade_profileface.xml haarcascade_righteye_2splits.xml haarcascade_russian_plate_number.xml haarcascade_smile.xml haarcascade_upperbody.xml
As their names suggest, these cascades are for tracking faces, eyes, noses, and mouths. They require a frontal, upright view of the subject. We will use them later when building ...
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