Python: 批量拷贝缺失同名文件

功能：从别的文件夹批量拷贝缺失同名文件

参考链接：https://www.computationalimaging.cn/2020/01/python-batch-copy-missing-files-with.html

# _*_ encoding:utf-8 _*_
import os
import sys
from shutil import copyfile

origin_A_train_path = './animeFaces/A/train/'
origin_A_test_path = './animeFaces/A/test/'

################################转移训练集#####################################
mode = 'train'
target_B_train_path = './data_superpixel_specifiedColor/B/'+mode+'/'
C_train_path = './data_superpixel_specifiedColor/C/'+mode+'/'
B_trainfile_name = os.listdir(target_B_train_path)
for image_index in range(len(B_trainfile_name)):
    image_name = B_trainfile_name[image_index]
    origin_image_file = origin_A_train_path + image_name
    if not os.path.exists(origin_image_file):
        print('test')
        origin_image_file = origin_A_test_path + image_name
    C_image_file = C_train_path + image_name
    copyfile(origin_image_file,C_image_file)

################################转移测试集#####################################
# mode = 'test'
# target_B_train_path = './data_superpixel_specifiedColor/B/'+mode+'/'
# C_train_path = './data_superpixel_specifiedColor/C/'+mode+'/'
# B_trainfile_name = os.listdir(target_B_train_path)
# for image_index in range(len(B_trainfile_name)):
#     image_name = B_trainfile_name[image_index]
#     origin_image_file = origin_A_train_path + image_name
#     if not os.path.exists(origin_image_file):
#         print('test')
#         origin_image_file = origin_A_test_path + image_name
#     C_image_file = C_train_path + image_name
#     copyfile(origin_image_file,C_image_file)