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import cv2 import numpy as np face_cascade = cv2.CascadeClassifier('Desktop\haarcascade_frontalface_default.xml') eye_cascade = cv2.CascadeClassifier('Desktop\haarcascade_eye.xml')

cap = cv2.VideoCapture(0)

while 1: ret, img = cap.read() gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectmultiScale(gray, 1.3, 5); #scalefactor = 1.3, minNeighbors = 5? for(x, y, w, h) in faces: cv2.rectangle(img, (x, y), (x + w,y + h), (255, 0, 0), 2) roi_gray = gray[y:y+h, x:x+w] roi_color = img[y:y+h, x:x+w] eyes = eye_cascade.detectMultiScale(roi_gray) for (ex, ey, ew, eh) in eyes: cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (0, 255, 0), 2) cv2.imshow('img', img) k = cv2.waitKey(30) & 0xff if k == 27: break cap.release() cv2.destroyAllWindows()

This error shows up: AttributeError: 'cv2.CascadeClassifier' object has no attribute 'detectmultiScale'

import cv2 import numpy as np .

face_cascade = cv2.CascadeClassifier('Desktop\haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('Desktop\haarcascade_eye.xml')
 
cv2.CascadeClassifier('Desktop\haarcascade_eye.xml')


cap = cv2.VideoCapture(0)
 
cv2.VideoCapture(0)

while 1:
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectmultiScale(gray, 1.3, 5);  #scalefactor = 1.3, minNeighbors = 5?
    for(x, y, w, h) in faces:
        cv2.rectangle(img, (x, y),  (x + w,y + h), (255, 0, 0), 2)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = img[y:y+h, x:x+w]
        eyes = eye_cascade.detectMultiScale(roi_gray)
        for (ex, ey, ew, eh) in eyes:
            cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (0, 255, 0), 2)
    cv2.imshow('img', img)
    k = cv2.waitKey(30) & 0xff
    if k == 27:
        break
cap.release()
cv2.destroyAllWindows()cv2.destroyAllWindows()

This error shows up: AttributeError: 'cv2.CascadeClassifier' object has no attribute 'detectmultiScale'

import cv2 import numpy as np .

face_cascade = cv2.CascadeClassifier('Desktop\haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('Desktop\haarcascade_eye.xml')


cap = cv2.VideoCapture(0)

while 1:
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectmultiScale(gray, 1.3, 5);  #scalefactor = 1.3, minNeighbors = 5?
    for(x, y, w, h) in faces:
        cv2.rectangle(img, (x, y),  (x + w,y + h), (255, 0, 0), 2)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = img[y:y+h, x:x+w]
        eyes = eye_cascade.detectMultiScale(roi_gray)
        for (ex, ey, ew, eh) in eyes:
            cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (0, 255, 0), 2)
    cv2.imshow('img', img)
    k = cv2.waitKey(30) & 0xff
    if k == 27:
        break
cap.release()
cv2.destroyAllWindows()

This error shows up:

 AttributeError: 'cv2.CascadeClassifier' object has no attribute 'detectmultiScale'
'detectmultiScale'

import cv2 import numpy as np .

face_cascade = cv2.CascadeClassifier('Desktop\haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('Desktop\haarcascade_eye.xml')


cap = cv2.VideoCapture(0)

while 1:
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectmultiScale(gray, 1.3, 5);  #scalefactor = 1.3, minNeighbors = 5?
    for(x, y, w, h) in faces:
        cv2.rectangle(img, (x, y),  (x + w,y + h), (255, 0, 0), 2)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = img[y:y+h, x:x+w]
        eyes = eye_cascade.detectMultiScale(roi_gray)
        for (ex, ey, ew, eh) in eyes:
            cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (0, 255, 0), 2)
    cv2.imshow('img', img)
    k = cv2.waitKey(30) & 0xff
    if k == 27:
        break
cap.release()
cv2.destroyAllWindows()

This error shows up:

 AttributeError: 'cv2.CascadeClassifier' object has no attribute 'detectmultiScale'