我有一个opencv 3的python函数.它在没有虚拟环境的情况下工作.我还在venvv上安装了opencv：pyimagesearch.我试图在venv上运行该python函数,然后它给出一个错误：

AttributeError: 'module' object has no attribute 'createLBPHFaceRecognizer'

没有在终端的venv：

gkhan@Gkan ~/Masaüstü/face_recognizer $python face_recognizer.py
Yol :./sinif/114.jpg.
114 Yuz Tanindi 12

与终端的venv：

gkhan@Gkan ~/Masaüstü/face_recognizer $workon cv
(cv)gkhan@Gkan ~/Masaüstü/face_recognizer $python face_recognizer.py
Traceback (most recent call last):
  File "face_recognizer.py", line 15, in <module>
    recognizer = cv2.createLBPHFaceRecognizer()
AttributeError: 'module' object has no attribute 'createLBPHFaceRecognizer'

我的python代码：

#!/usr/bin/python
# -*- coding: utf-8 -*-

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

# For Test
if 0==0:

    cascadePath = "haarcascade_frontalface_default.xml"
    faceCascade = cv2.CascadeClassifier(cascadePath)

    recognizer = cv2.createLBPHFaceRecognizer()
...

我在Linux Mint 64 Bit上使用python 2.7运行Opencv3

解决方法:

从OpenCV 3开始,您必须获得并构建opencv_contrib回购.然后你可以使用子模块“face”.

cv2中模块cv2.face的帮助：

NAME
    cv2.face

FILE
    (built-in)

FUNCTIONS
    createEigenFaceRecognizer(...)
        createEigenFaceRecognizer([, num_components[, threshold]]) -> retval

    createFisherFaceRecognizer(...)
        createFisherFaceRecognizer([, num_components[, threshold]]) -> retval

    createLBPHFaceRecognizer(...)
        createLBPHFaceRecognizer([, radius[, neighbors[, grid_x[, grid_y[, threshold]]]]]) -> retval

瞧〜你现在可以使用cv2.face.createLBPHFaceRecognizer()