制作PASCAL VOC格式的检测数据集，生成trainval.txt, train.txt, val.txt, test.txt文件

import os
import random 
 
xmlfilepath=r'C:\Users\Yeh Chih-En\Desktop\VOC\Annotations'
saveBasePath=r"C:\Users\Yeh Chih-En\Desktop\VOC"
 
trainval_percent=0.8
train_percent=0.7
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)  
 
print("train and val size",tv)
print("traub suze",tr)
ftrainval = open(os.path.join(saveBasePath,'ImageSets/Main/trainval.txt'), 'w')  
ftest = open(os.path.join(saveBasePath,'ImageSets/Main/test.txt'), 'w')  
ftrain = open(os.path.join(saveBasePath,'ImageSets/Main/train.txt'), 'w')  
fval = open(os.path.join(saveBasePath,'ImageSets/Main/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()