Here, we begin with import cv2 and numpy, then we load in our face and eye cascades. import numpy as npįace_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')Įye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml') I am assuming you have downloaded the haarcascade_eye.xml and haarcascade_frontalface_default.xml from the links above, and have these files in your project's directory. Note the license for using/distributing these Haar Cascades. You can find a few more at the root directory of Haar cascades. We will use a Face cascade and Eye cascade. You shouldn't have too much trouble finding the aforementioned types. You can use Google to find various Haar Cascades of things you may want to detect. Detecting things like faces, cars, smiles, eyes, and license plates for example are all pretty prevalent.įirst, I will show you how to use these cascade files, then I will show you how to embark on creating your very own cascades, so that you can detect any object you want, which is pretty darn cool! For the extremely popular tasks, these already exist. In order to do object recognition/detection with cascade files, you first need cascade files. We'll do face and eye detection to start. In this OpenCV with Python tutorial, we're going to discuss object detection with Haar Cascades.
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