class 'cv2.CascadeClassifier' returned a result with an error set

import os.path
import cv2
def faceDetect(src):
    pass
def main():
    if not os.path.isfile('haarcascade_frontalface_default.xml'):
        raise RuntimeError("%s: not found" % 'haarcascade_frontalface_default.xml')

    face_xml = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
    eye_xml = cv2.CascadeClassifier("haarcascade_eye.xml")
    
    img = cv2.imread("image0.jpg", 1)
    
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    
    faces = face_xml.detectMultiScale(gray, 1.3, 5)
    print("faces %d" %(len(faces)))
    
    
    
if __name__ == "__main__":
    main()
    
 编写人脸识别Demo，从github上面下载这两个文件haarcascade_eye.xml， haarcascade_frontalface_default.xml

编译不过，一直倒腾，怀疑是环境问题。后面使用安装Opencv路径下的这两个文件就没有问题了

 

  File "C:/Users/miss.j/Desktop/Python/34.haar+adboost人脸识别/人脸识别.py", line 19, in main
    eye_xml = cv2.CascadeClassifier("haarcascade_eye.xml")

SystemError: returned a result with an error set

使用安装opencv绝对路径下的xml：

    face_xml = cv2.CascadeClassifier('C:\\Users\\miss.j\\AppData\\Local\\Programs\\Python\\Python37-32\\Lib\\site-packages\\cv2\\data\\haarcascade_frontalface_default.xml')
    eye_xml = cv2.CascadeClassifier("C:\\Users\\miss.j\\AppData\\Local\\Programs\\Python\\Python37-32\\Lib\\site-packages\\cv2\\data\\haarcascade_eye.xml")