我得到模块"cv2.cv2"没有属性"旧版"错误。我该如何解决它？

Question

这是我的代码：将numpy导入为np进口cv2进口泡菜

face_cascade = cv2.CascadeClassifier('cascades/data/haarcascade_frontalface_alt2.xml')
eye_cascade = cv2.CascadeClassifier('cascades/data/haarcascade_eye.xml')
smile_cascade = cv2.CascadeClassifier('cascades/data/haarcascade_smile.xml')
[enter image description here][1]
recognizer = cv2.face.LBPHFaceRecognizer_create() 

我得到#module"cv2.cv2"没有属性"legacy"错误。我该怎么修？我使用的是windows 10和opencv 4.5.1版本。我尝试安装pip-install opencv_contrib_python，但没有成功。

recognizer.read("./recognizers/face-trainner.yml")
labels = {"person_name": 1}
with open("pickles/face-labels.pickle", 'rb') as f:
og_labels = pickle.load(f)
labels = {v:k for k,v in og_labels.items()}
cap = cv2.VideoCapture(0)
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
gray  = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.5, minNeighbors=5)
for (x, y, w, h) in faces:
#print(x,y,w,h)
roi_gray = gray[y:y+h, x:x+w] #(ycord_start, ycord_end)
roi_color = frame[y:y+h, x:x+w]
# recognize? deep learned model predict keras tensorflow pytorch scikit learn
id_, conf = recognizer.predict(roi_gray)
if conf>=4 and conf <= 85:
#print(5: #id_)
#print(labels[id_])
font = cv2.FONT_HERSHEY_SIMPLEX
name = labels[id_]
color = (255, 255, 255)
stroke = 2
cv2.putText(frame, name, (x,y), font, 1, color, stroke, cv2.LINE_AA)
img_item = "7.png"
cv2.imwrite(img_item, roi_color)
color = (255, 0, 0) #BGR 0-255 
stroke = 2
end_cord_x = x + w
end_cord_y = y + h
cv2.rectangle(frame, (x, y), (end_cord_x, end_cord_y), color, stroke)
#subitems = smile_cascade.detectMultiScale(roi_gray)
#for (ex,ey,ew,eh) in subitems:
#   cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
# Display the resulting frame
cv2.imshow('frame',frame)
if cv2.waitKey(20) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()

Answer 1

我记得不久前收到这个错误。

在CMD提示符下运行这三个命令，然后再次尝试运行程序。

pip3 install opencv-python==4.4.0.46
pip3 install opencv-contrib-python==4.4.0.46
pip3 install opencv-contrib-python-headless==4.4.0.46

版本细节可能没有必要，但这是我最后的工作。