OpenCV 3.x with Python By Example - Second Edition

Detecting pupils

We are going to take a different approach here. Pupils are too generic to take the Haar cascade approach. We will also get a sense of how to detect things based on their shape. The following is what the output will look like:

Let's see how to build the pupil detector:

import math  import cv2 eye_cascade = cv2.CascadeClassifier('./cascade_files/haarcascade_eye.xml')if eye_cascade.empty():  raise IOError('Unable to load the eye cascade classifier xml file')cap = cv2.VideoCapture(0)ds_factor = 0.5ret, frame = cap.read()contours = []while True:   ret, frame = cap.read()  frame = cv2.resize(frame, None, fx=ds_factor, fy=ds_factor, ...