AttributeError: module 'cv2.face' has no attribute 'LBPHFaceRecognizer_create'的解决方案是什么？

Question

import cv2
from tkinter import *
from PIL import Image, ImageTk
import mysql.connector

class Face_Recognition:
    def __init__(self, root):
        self.root = root
        self.root.geometry("1366x768+0+0")
        self.root.title("Face Recognition")

        self.img = Image.open("photos/pagebg.png")
        self.photoimg = ImageTk.PhotoImage(self.img)
        self.label = Label(self.root, image=self.photoimg)
        self.label.pack(fill=BOTH, expand=YES)
        self.label.bind("<Configure>", self.resize_image)

    def resize_image(self, event):
        new_width = event.width
        new_height = event.height
        self.img = self.img.resize((new_width, new_height))
        self.photoimg = ImageTk.PhotoImage(self.img)
        self.label.config(image=self.photoimg)

        self.button_frame = Frame(self.label, bg='white')
        self.button_frame.place(x=560, y=180, width=180, height=180)

        img02 = Image.open(r"E:\new project\photos\attandance.jpg")
        img02 = img02.resize((180, 180))
        self.photoimg02 = ImageTk.PhotoImage(img02)

        b1 = Button(self.button_frame, image=self.photoimg02, border=0, cursor="hand2", command=self.face_function)
        b1.pack(fill=BOTH, expand=YES)

        self.button_frame = Frame(self.label, bg='black')
        self.button_frame.place(x=560, y=320, width=180, height=40)

        b1_1 = Button(self.button_frame, text="Attendance", border=0, command=self.face_function, cursor="hand2",
                      font=("Roca Two", 15, "bold"), bg="#D3D3D3", fg="black")
        b1_1.pack(fill=BOTH, expand=YES)

    def face_function(self) :
        def draw_boundary(img , classifier , scalefactor , minNeighbors , color , text , clf) :
            gray_image = cv2.cvtColor(img , cv2.COLOR_BGR2GRAY)
            features = classifier.detectMultiScale(gray_image , scalefactor , minNeighbors)

            for (x , y , w , h) in features :
                cv2.rectangle(img , (x , y) , (x + w , y + h) , (0 , 255 , 0) , 3)
                id , predict = clf.predict(gray_image [ y :y + h , x :x + w ])
                confidence = int((100 * (1 - predict / 300)))

                if confidence > 77 :
                    try :
                        conn = mysql.connector.connect(host="localhost" , user="root" , password="shihir09876" ,
                                                       database="student_info")
                        my_cursor = conn.cursor()
                        my_cursor.execute("SELECT `StudentName` FROM `student` WHERE `Student ID` = %s" , (id,))

                        result = my_cursor.fetchone()
                        if result :
                            StudentName , department = result
                            cv2.putText(img , f"Name: {StudentName}" , (x , y - 55) , cv2.FONT_HERSHEY_COMPLEX , 1 ,
                                        (255 , 255 , 255) , 3)
                            cv2.putText(img , f"ID: {id}" , (x , y - 40) , cv2.FONT_HERSHEY_COMPLEX , 1 ,
                                        (255 , 255 , 255) , 3)
                            cv2.putText(img , f"Department: {department}" , (x , y - 25) , cv2.FONT_HERSHEY_COMPLEX ,
                                        1 , (255 , 255 , 255) , 3)
                    except mysql.connector.Error as e :
                        print("Error while fetching data from MySQL" , e)
                    finally :
                        if conn.is_connected() :
                            my_cursor.close()
                            conn.close()
                else :
                    cv2.rectangle(img , (x , y) , (x + w , y + h) , (0 , 0 , 255) , 3)
                    cv2.putText(img , "Unknown" , (x , y - 25) , cv2.FONT_HERSHEY_COMPLEX , 1 , (255 , 255 , 255) , 3)

        def recognize(img , clf , face_cascade) :
            draw_boundary(img , face_cascade , 1.1 , 10 , (255 , 25 , 255) , "face" , clf)
            return img

        face_cascade = cv2.CascadeClassifier("data/haarcascade_frontalface_default.xml")
        clf =cv2.face.LBPHFaceRecognizer_create()
        clf.read("train_data.xml")

        video_cap = cv2.VideoCapture(0)

        while True :
            ret , img = video_cap.read()
            img = recognize(img , clf , face_cascade)
            cv2.imshow("Welcome To Face Recognition" , img)

            if cv2.waitKey(1) == 13 :
                break

        video_cap.release()
        cv2.destroyAllWindows()


if __name__ == "__main__":
    root = Tk()
    obj = Face_Recognition(root)
    root.mainloop()

`

这是我的代码...我认为这是100%正确的...但错误表明

AttributeError：模块“cv2.face”没有属性“LBPHFaceRecognizer_create”

我已经尝试了 Google、YouTube、StackOverflow 等多种方法。但没有解决该错误。

我更改了Python版本

pip 安装 opencv-python

还有

pip 安装 opencv-contrib-python

我已经这样做了很多次了，但没有解决办法

Answer 1

该错误意味着您使用了错误的方法在 OpenCV 中创建 LBPH 人脸识别器。

对于 OpenCV 4.x 或更高版本：

cv2.face.LBPHFaceRecognizer_create()

对于 OpenCV 3.x 或更早版本：

cv2.createLBPHFaceRecognizer()

使用

cv2.__version__

检查您的 OpenCV 版本，并相应地使用正确的方法。