pythonopencvdetectionface-detection

AttributeError: module 'cv2.cv2' has no attribute 'CascadeClassifer' (OpenCV Face Detection)


I have tried running this code for the OpenCV face detection and upon running it I get the error (AttributeError: module 'cv2.cv2' has no attribute 'CascadeClassifer') Is there some sort of new code I need to use?

Error is on line 4 (face_cascade = cv2.CascadeClassifer('haarcascade_frontalface_default.xml')

import cv2
import numpy as np

face_cascade = cv2.CascadeClassifer('haarcascade_frontalface_default.xml')

eye_cascade = cv2.CascadeClassifer('haarcascade_eye.xml')

cap = cv2.VideoCapture(0)

while True:
    ret, img = cap.read()
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    face = face_cascade.detectMultiScale(gray, 1.3, 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]
        eye = 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.destoryAllWindows()

Solution

  • Nevermind, I have fixed the code if anyone is interested.

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