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()