大佬帮忙看看这个报错怎么改

orangeppff

import os
import cv2
from PIL import Image
import numpy as np

def getImageAndLabels(path):
    #储存人脸数据
    facesSamples=[]
    #储存姓名数据
    ids=[]
    #储存图片信息
    imagePaths=[os.path.join(path,f)for f in os.listdir(path)]
    #加载分类器
    face_detector = cv2.CascadeClassifier('D:/OPENCV/opencv/sources/data/haarcascade/haarcascade_frontalface_alt2.xml')

    #遍历列表中的图片
    for imagePath in imagePaths:
        #打开图片，灰度化 PIL有九种不同模式：1，L,P,RGB,RGBA,CMYK,YCbCR,I,F.
        PIL_img=Image.open(imagePath).convert('L')
        #将图像转换为数组，以黑白深浅
        img_numpy=np.array(PIL_img,'uint8')
        #获取图片人脸特征
       [u] face = face_detector.detectMultiScale(img_numpy)[/u]              //报错原因Traceback (most recent call last):File "C:\Users\程\Desktop\opencv\9训练数据.py", line 39, in <module>faces,ids=getImageAndLabels(path)
        #获取每张图片的id和姓名
        id = int(os.path.split(imagePath)[1].split('.')[0])
        #预防无面容照片
        for x,y,w,h in faces:
            ids.append(id)
            facesSamples.append(img_numpy[y:y+h,x:x+w])
        #打印脸部特征和id
    print('id:',id)
    print('fs:',facesSamples)
    return facesSamples,ids

if __name__ == '__main__':
    #图片路径
    path='D:/OPENCV/opencv/data/jm/'
    #获取图像数组和ID标签数组和姓名
   [u] faces,ids=getImageAndLabels(path)[/u]                                     //报错原因File "C:\Users\程\Desktop\opencv\9训练数据.py", line 23, in getImageAndLabels face = face_detector.detectMultiScale(img_numpy) cv2.error: OpenCV(4.5.5) D:\a\opencv-python\opencv-python\opencv\modules\objdetect\src\cascadedetect.cpp:1689: error: (-215:Assertion failed) !empty() in function 'cv::CascadeClassifier::detectMultiScale'
    #加载识别器
    recognizer=cv2.face.LBPHFfaceRecoginizer_create()
    #训练
    recognizer.train(faces,np.array(ids))
    #保存
    recognizer.write('D:/OPENCV/opencv/data/trainer/trainer.yml')

orangeppff

pycharm因为这两个bug无法正常运行，大神帮帮看看，跪谢