这是将名为test的子文件夹转换为名为xml的父文件夹的python脚本,并转换为csv文件 使用tensorflow api进行物体检测以标记卫星图像
import os
import glob
import pandas as pd
import xml.etree.ElementTree as ET
def xml_to_csv(path):
xml_list = []
for xml_file in glob.glob(path + '/*.xml'):
tree = ET.parse(xml_file)
root = tree.getroot()
for member in root.findall('object'):
value = (root.find('filename').text,
int(root.find('size')[0].text),
int(root.find('size')[1].text),
member[0].text,
int(member[4][0].text),
int(member[4][1].text),
int(member[4][2].text),
int(member[4][3].text)
)
xml_list.append(value)
column_name = ['filename', 'width', 'height', 'class', 'xmin', 'ymin', 'xmax', 'ymax']
xml_df = pd.DataFrame(xml_list, columns=column_name)
return xml_df
def main():
for folder in ['train','test']:
image_path = os.path.join(os.getcwd(), ('images/' + folder))
xml_df = xml_to_csv(image_path)
xml_df.to_csv(('images/' + folder + '_labels.csv'), index=None)
print('Successfully converted xml to csv.')
main()
并收到此错误
File "xml_to_csv.py", line 37, in <module>
main()
File "xml_to_csv.py", line 31, in main
xml_df = xml_to_csv(image_path)
File "xml_to_csv.py", line 10, in xml_to_csv
tree = ET.parse(xml_file)
File "C:\Users\asus\Anaconda3\envs\tensorflow1\lib\xml\etree\ElementTree.py", line 1196, in parse
tree.parse(source, parser)
File "C:\Users\asus\Anaconda3\envs\tensorflow1\lib\xml\etree\ElementTree.py", line 597, in parse
self._root = parser._parse_whole(source)
xml.etree.ElementTree.ParseError: not well-formed (invalid token): line 2, column 5
我尝试查看编码是否没有问题,但似乎对产生错误没有任何影响。 这是由于标记卫星图像而生成的xml代码(共500个)。
<annotation>
<folder>train</folder>
<filename>windmill8.jpg</filename>
<path>C:/tensorflow1/models/research/object_detection/images/train/windmill8.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>1538</width>
<height>820</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>windmill</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>270</xmin>
<ymin>713</ymin>
<xmax>337</xmax>
<ymax>766</ymax>
</bndbox>
</object>
请告诉我们如何解决此问题?