Build Your Own Face Eyes Detection App in 6 Minutes | OpenCV

In this tutorial I have touched you, how to create Face Eye Detection App in only 6 Minutes. Its computer vision Artificial Intelligence project and I used OpenCV Python Library and Cascade Classifier.

Face Eye Detection App Code

import cv2

#path = 'C:\\Users\\kashz\\.conda\\envs\\tensorflow_gpu\\Library\\etc\\haarcascades\\haarcascade_eye.xml'

# Load trained cascade classifier
face_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

# Read the given image
color_image = cv2.imread('priya_prakash.jpg')

# Convert color image into grayscale
gray_image = cv2.cvtColor(color_image, cv2.COLOR_BGR2GRAY)

# Detect faces ROI
#Syntax: Classifier.detectMultiScale(input image, Scale Factor , Min Neighbors)
faces = face_cascade.detectMultiScale(gray_image, 1.3, 4) 

# Draw rectangle around the faces
for (x, y, w, h) in faces:
    cv2.rectangle(color_image, (x, y), (x + w, y + h), (0, 0, 255), 4)
    
# Show image
cv2.imshow('Image', color_image)

#wait to close window
cv2.waitKey()

#close all windows
cv2.destroyAllWindows()