AttributeError:模块“ cv2.cv2”没有属性“ CascadeClassifer”(OpenCV人脸检测)

时间:2019-12-13 21:09:25

标签: python opencv detection face

我尝试运行此代码进行OpenCV人脸检测,运行它时出现错误(AttributeError:模块'cv2.cv2'没有属性'CascadeClassifer')我是否需要某种新代码使用?

错误位于第4行(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()

2 个答案:

答案 0 :(得分:0)

假设您要从文件中加载分类器。 使用正确的拼写

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

不是

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

答案 1 :(得分:0)

没关系,如果有人感兴趣,我已经修复了代码。

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()