一些记录

import glob
import os,sys
import shutil
import numpy as np
import cv2
import matplotlib.pyplot as plt

# fileDir  = ‘F:/project/Breast/InBreast/INBreast/outimgpatch/allcalcification/‘    #源图片文件夹路径
# fileDir1 = ‘F:/project/Breast/InBreast/INBreast/outimgpatch/allcalcificationimglabel/‘
# fileDir2 = ‘F:/project/Breast/InBreast/INBreast/outimgpatch/allnocalcification/‘
# fileDir3 = ‘F:/project/Breast/InBreast/INBreast/outimgpatch/allnocalcificationlabel/‘
# tarDir  =  ‘F:/project/Breast/InBreast/INBreast/outimgpatch/cal1/‘
# tarDir1 =  ‘F:/project/Breast/InBreast/INBreast/outimgpatch/callabel1/‘
# tarDir2 =  ‘F:/project/Breast/InBreast/INBreast/outimgpatch/calno1/‘
# tarDir3 =  ‘F:/project/Breast/InBreast/INBreast/outimgpatch/calnolabel1/‘



import os, random, shutil,cv2

# fileDir = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/test/image/‘
# fileDir1 = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/test/label/‘
# tarDir = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/test/image1/‘
# tarDir1 = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/test/label1/‘
#
# if __name__ == ‘__main__‘:
#     txtLists = os.listdir(fileDir)  # 列出文件夹下所有的目录与文件
#     i = 0
#     for filename in txtLists:
#         name = ‘0_‘+ str(i) + ‘_predict.png‘
#         i = i + 1
#         print(filename)
# #         # source = fileDir + filename
# #         # print(source)
#         shutil.copy(fileDir + filename, tarDir + name)
#         shutil.copy(fileDir1 + filename, tarDir1 + name)
#         # shutil.copy(fileDir2 + filename, tarDir2 + name)
#         # shutil.copy(fileDir3 + filename, tarDir3 + name)

# fileDir = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/yes/train/image/‘
# fileDir1 = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/yes/train/label/‘
# fileDir2 = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/no/train/image/‘
# fileDir22 = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/no/train/label/‘
# tarDir = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreastmix/train/image/‘
# tarDir1 = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreastmix/train/label/‘

# fileDir = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/yes/val/image/‘
# fileDir1 = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/yes/val/label/‘
# fileDir2 = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/no/val/image/‘
# fileDir22 = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/no/val/label/‘
# tarDir = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreastmix/val/image/‘
# tarDir1 = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreastmix/val/label/‘



#
# fileDir = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/yes/test/image/‘
# fileDir1 = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/yes/test/label/‘
# fileDir2 = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/no/test/image/‘
# fileDir22 = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/no/test/label/‘
# fileDir = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreastmix2/test/image/‘
# fileDir = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreast/no/test/label/‘
fileDir = ‘F:/project/Breast/InBreast/INBreast/Unet/data/Inbreastmix2/test/image/‘



if __name__ == ‘__main__‘:
    txtLists = os.listdir(fileDir)  # 列出文件夹下所有的目录与文件
    print(txtLists)
    i = 0
    for filename in txtLists:
        print(filename)
        # name = ‘0_‘+str(i)+‘_predict.png‘
        # i =i + 2
        # print(name)
        # shutil.copy(fileDir + filename, tarDir + name)
        # if filename.startswith(‘yes‘):
        #     filename1 = filename[4:]
        #     print(filename1)
        #     filename2 = os.path.join(tarDir, filename1.split(‘.‘)[0] + ‘_yes.png‘)
        #     print(filename2)
        # elif filename.startswith(‘no‘):
        #     filename1 = filename[3:]
        #     print(filename1)
        #     filename2 = os.path.join(tarDir, filename1.split(‘.‘)[0] + ‘_no.png‘)#filename1 + ‘_no‘
        #     print(filename2)
        #
        # img = cv2.imread(fileDir + filename)
        # image = img[:,:,0]
        # cv2.imwrite(filename2,image)
        # name = ‘yes_‘ + filename#‘yes_0_‘+ str(i) + ‘_predict.png‘
        # name1 = ‘no_‘ + filename#‘yes_0_‘+ str(i) + ‘_predict.png‘
        # i = i + 1
        # print(filename,name)
        # shutil.copy(fileDir + filename, tarDir + name)
        # shutil.copy(fileDir2 + filename, tarDir + name1)
        # shutil.copy(fileDir1 + filename, tarDir1 + name)
        # shutil.copy(fileDir22 + filename, tarDir1 + name1)
        # image1 = cv2.imread(fileDir + filename)
        # label1 = cv2.imread(fileDir1 + filename)
        # image2 = cv2.resize(image1,(448,448))
        # label2 = cv2.resize(label1,(448,448))
        # cv2.imwrite(fileDir + filename, image2)
        # cv2.imwrite(fileDir1 + filename,label2)
#         # source = fileDir + filename
#         # print(source)

        # shutil.copy(fileDir2 + filename, tarDir2 + name)
        # shutil.copy(fileDir3 + filename, tarDir3 + name)