像pascal voc2012這樣提供的valid.txt或者其他valid.csv，現(xiàn)在根據(jù)csv把數(shù)據(jù)集抽離出來，

#-*- coding : utf-8-*-
import os, sys
import shutil
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import roc_curve, auc
import pandas as pd                      #導(dǎo)入pandas庫

# coding:unicode_escape
excel_file = r'C:/Users/Desktop/valid.csv'    #導(dǎo)入csv數(shù)據(jù)
x = pd.read_csv(excel_file, encoding="gbk")
x = x.iloc[0:,0]  #x的類型為"pandas.core.series.Series"
num1 = x.size
print(x)
print(type(x))
a = []
b = []
tar_path = "/data2/liguanhua/Datasets/valid"
for i in range(num1):
    img_name = x[i].split('/')[-1]
    tar_imgpath = tar_path + "/" + img_name
    shutil.copy(x[i], tar_imgpath)