目标检测数据增强：划分训练集和验证集

将数据划分成训练集和验证集等4个txt文档，完全根据xml的名称进行划分。

import os
import random
 
trainval_percent = 0.5
train_percent = 0.5
xmlfilepath = r'D:\code\data\VOC2007_2\Annotations'
txtsavepath = r'D:\code\data\VOC2007_2\ImageSets\Main'
total_xml = os.listdir(xmlfilepath)
 
num=len(total_xml)
list=range(num)
tv=int(num*trainval_percent)
tr=int(tv*train_percent)
trainval= random.sample(list,tv)
train=random.sample(trainval,tr)
 
ftrainval = open(txtsavepath+'/trainval.txt', 'w')
ftest = open(txtsavepath+'/test.txt', 'w')
ftrain = open(txtsavepath+'/train.txt', 'w')
fval = open(txtsavepath+'/val.txt', 'w')
 
for i  in list:
    name=total_xml[i][:-4]+'\n'
    if i in trainval:
        ftrainval.write(name)
        if i in train:
            ftrain.write(name)
        else:
            fval.write(name)
    else:
        ftest.write(name)
 
ftrainval.close()
ftrain.close()
fval.close()
ftest .close()

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原文链接：https://blog.csdn.net/wty98wzq/article/details/114482194