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()