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标题: 一键将数据集划分为：trainval、train、val、test4个 [打印本页]

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作者: 东方耀    时间: 2020-11-17 15:56
标题: 一键将数据集划分为：trainval、train、val、test4个
# 一键将数据集划分为：trainval、train、val、test4个


import os
import random


xmlfilepath = r'./VOCdevkit/VOC2007/Annotations'
saveBasePath = r"./VOCdevkit/VOC2007/ImageSets/Main/"


# 就是分数据集：train val test trainval 4个集合
trainval_percent = 0.9
train_percent = 0.8


temp_xml = os.listdir(xmlfilepath)
total_xml = []
for xml in temp_xml:
    if xml.endswith(".xml"):
        total_xml.append(xml)


num = len(total_xml)
print("一共多少个标注文件：", num)
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("train size", tr)
ftrainval = open(os.path.join(saveBasePath, 'trainval.txt'), 'w')
ftest = open(os.path.join(saveBasePath, 'test.txt'), 'w')
ftrain = open(os.path.join(saveBasePath, 'train.txt'), 'w')
fval = open(os.path.join(saveBasePath, 'val.txt'), 'w')


for i in list:
    name = total_xml[:-4] + '\n'
    if i in trainval:
        # 训练验证集
        ftrainval.write(name)
        if i in train:
            # 训练集
            ftrain.write(name)
        else:
            # 验证集
            fval.write(name)
    else:
        # 测试集
        ftest.write(name)


ftrainval.close()
ftrain.close()
fval.close()
ftest.close()

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作者: leironh    时间: 2020-12-6 09:26

笔记写的挺好的，点个赞

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作者: leironh    时间: 2020-12-6 09:28

笔记写的挺好的，点个赞

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作者: 小别离    时间: 2021-1-12 16:33
dongxihaoduoa

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