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()
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()