[ImageA1.png]

[ImageA2.png]

[ImageB1.png]

[ImageB2.png]

For the above four images, I have written the following Python code to detect and count the eyes in each image. For the images ImageA1.png and ImageA2.png the count of eyes are perfect i.e. "2". However, the count of eyes for ImageB1.png and ImageB2.png are "1" and "0" respectively. Kindly identify the issue and how to resolve this.

import cv2 import numpy as np img1 = cv2.imread('ImageA1.png') img2 = cv2.imread('ImageA2.png') img3 = cv2.imread('ImageB1.png') img4 = cv2.imread('ImageB2.png') eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml') eyes1 = eye_cascade.detectMultiScale(img1, scaleFactor=1.1, minNeighbors=5, minSize=(10, 10),flags=cv2.CASCADE_SCALE_IMAGE) print('Number of detected Eyes in Face1:', len(eyes1)) eyes2 = eye_cascade.detectMultiScale(img2, scaleFactor=1.1, minNeighbors=5, minSize=(10, 10),flags=cv2.CASCADE_SCALE_IMAGE) print('Number of detected Eyes in Face2:', len(eyes2)) eyes3 = eye_cascade.detectMultiScale(img3, scaleFactor=1.1, minNeighbors=5, minSize=(10, 10),flags=cv2.CASCADE_SCALE_IMAGE) print('Number of detected Eyes in Face3:', len(eyes3)) eyes4 = eye_cascade.detectMultiScale(img4, scaleFactor=1.1, minNeighbors=5, minSize=(10, 10),flags=cv2.CASCADE_SCALE_IMAGE) print('Number of detected Eyes in Face4:', len(eyes4))