04.过滤掉朋友圈头像中不含人脸的图片（选作）

pip install opencv

# -*-coding:utf8-*-
import os
import cv2
import shutil
def getAllPath(dirpath):
    PathArray = []
    for filename in os.listdir(dirpath):
        if filename.endswith('jpg') or filename.endswith('png'):
            PathArray.append(os.path.join(dirpath, filename))
    return PathArray
# 从源路径中读取所有图片放入一个list，然后逐一进行检查，把其中的脸扣下来，存储到目标路径中
def readPicSaveFace(sourcePath,invalidPath):
    try:
        ImagePaths = getAllPath(sourcePath)
        # 对list中图片逐一进行检查,找出其中的人脸然后写到目标文件夹下
        # haarcascade_frontalface_alt.xml为库训练好的分类器文件，下载opencv，安装目录中可找到
        face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')
        for imagePath in ImagePaths:
            img = cv2.imread(imagePath)
            if type(img) != str:
                faces = face_cascade.detectMultiScale(img, 1.1, 5)
                if len(faces):
                    print(imagePath + " have face")
                else:
                    shutil.move(imagePath, invalidPath)
    except IOError:
        print("Error")
if __name__ == '__main__':
    invalidPath = './user_no_face'
    sourcePath = 'user'
    readPicSaveFace(sourcePath,invalidPath)