Eye detection works very similarly to face detection. Instead of using a face cascade file, we will use an eye cascade file. Create a new python file and import the following packages:

import cv2 
import numpy as np 

Load the Haar cascade files corresponding to face and eye detection:

# Load the Haar cascade files for face and eye 
face_cascade = cv2.CascadeClassifier('haar_cascade_files/haarcascade_frontalface_default.xml') 
eye_cascade = cv2.CascadeClassifier('haar_cascade_files/haarcascade_eye.xml') 
 
# Check if the face cascade file has been loaded correctly 
if face_cascade.empty(): 
   raise IOError('Unable to load the face cascade classifier xml file') 
 
# Check if the eye cascade file has been loaded correctly 
if eye_cascade.empty(): 
   raise IOError('Unable to load the eye cascade classifier xml file') 

Initialize the video capture object and define the scaling factor:

# Initialize the video...