[Python] i have working eye detection using OpenCV in python but can't manage to save those...

I have tried various eye recognition but so far only this one worked for me. But i need to export those eyes as image (.jpg). I have done similar code with faces but it will just not work with eyes. I have tried rewriting the face code, using global coordinates and even generated code with chat gpt and using its method.

I just need to export those eyes to a jpg like in the code for faces

code for eyes:

import cv2

eye = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_eye.xml')

cap = cv2.VideoCapture(0)

while(cap.isOpened()):

ret, frame = cap.read()

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

eyes = eye.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5,minSize=(30, 30))

for (x, y, w, h) in eyes:
cv2.rectangle(frame, (x,y), (x+w, y+h), (0, 255, 0), 2)

cv2.imshow('Eye Recognition', frame)
if cv2.waitKey(1) == ord('q'):
break

cap.release()
cv2.destroyAllWindows()


code for faces:

import cv2

face_classifier = cv2.CascadeClassifier(
cv2.data.haarcascades + "haarcascade_frontalface_default.xml"
)
video_capture = cv2.VideoCapture(0)

def detect_bounding_box(vid):
gray_image = cv2.cvtColor(vid, cv2.COLOR_BGR2GRAY)
faces = face_classifier.detectMultiScale(gray_image, 1.1, 5, minSize=(40, 40))
for (x, y, w, h) in faces:
cv2.rectangle(vid, (5*x, 5*y), (x + 2*w, y + 2*h),0,0)
return faces

while True:
result, img = video_capture.read() # read frames from the video
if result is False:
break # terminate the loop if the frame is not read successfully

faces = detect_bounding_box(
img
) # apply the function we created to the video frame

for (x,y,w,h) in faces:
face = img[y:y+h, x:x+w] #slice the face from the image
cv2.imwrite('Face.jpg', face) #save the image
print('Image saved')


if cv2.waitKey(100) & 0xFF == ord("q"):
break

video_capture.release()
cv2.destroyAllWindows()

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