1. Json读写方法
def parseFromFile(self, fname):
"""
Overwritten to read JSON files.
"""
f = open(fname, "r")
return json.load(f)
def serializeToFile(self, fname, annotations):
"""
Overwritten to write JSON files.
"""
f = open(fname, "w")
json.dump(annotations, f, indent=4, separators=(',', ': '), sort_keys=True)
f.write("\n")
2. xml文件的工具包XML2Dict
将xml转换成Python本地字典对象， 访问子元素和字典常用方法类似，略有不同， 使用 “.”
注： 使用xml2dict库，需要在本地项目添加 xml2dict.py, object_dict.py，下载链接
加载xml文件
from xml2dict import XML2Dict
xml = XML2Dict()
r = xml.parse("待处理文件名.xml")
xml示例[voc2007格式]：
<annotation>
<folder>VOC2007</folder>
<filename>AL_00001.JPG</filename>
<size>
<width>800</width>
<height>1160</height>
<depth>3</depth>
</size>
<object>
<name>l_faster</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>270</xmin>
<ymin>376</ymin>
<xmax>352</xmax>
<ymax>503</ymax>
</bndbox>
</object>
<object>
<name>l_faster</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>262</xmin>
<ymin>746</ymin>
<xmax>355</xmax>
<ymax>871</ymax>
</bndbox>
</object>
<object>
<name>r_faster</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>412</xmin>
<ymin>376</ymin>
<xmax>494</xmax>
<ymax>486</ymax>
</bndbox>
</object>
<object>
<name>r_faster</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>411</xmin>
<ymin>748</ymin>
<xmax>493</xmax>
<ymax>862</ymax>
</bndbox>
</object>
</annotation>
分析下这个文件的格式：
最外一层被<annotation></annotation>包围
往里一层是：<file_name></file_name>,<size></size>,<object></object>,其中object是列表，包括name和bndbox，示例访问annotation下级元素
# -*- coding: utf-8 -*-
from xml2dict import XML2Dict
xml = XML2Dict()
r = xml.parse('Annotations/AL_00001.xml')
for item in r.annotation:
print item
print '------------'
for item in r.annotation.object:
print item.name, item.bndbox.xmin, item.bndbox.xmax, item.bndbox.ymin, item.bndbox.ymax
执行结果：
object folder size value filename ------------ l_faster 270 352 376 503 l_faster 262 355 746 871 r_faster 412 494 376 486 r_faster 411 493 748 862
完整代码[xml2json]
# -*- coding: utf-8 -*-
from xml2dict import XML2Dict
import json
import glob
def serializeToFile(fname, annotations):
"""
Overwritten to write JSON files.
"""
f = open(fname, "w")
json.dump(annotations, f, indent=4, separators=(',', ': '), sort_keys=True)
f.write("\n")
def getAnnos(file_name="", prefix=''):
xml = XML2Dict()
root = xml.parse(file_name)
# get a dict object
anno = root.annotation
image_name = anno.filename
item = {'filename': prefix + image_name, 'class': 'image', 'annotations': []}
for obj in anno.object:
cls = {'l_faster': 'C1', 'r_faster': 'C2'}[obj.name]
box = obj.bndbox
x, y, width, height = int(box.xmin), int(box.ymin), int(box.xmax) - int(box.xmin), int(box.ymax) - int(box.ymin)
item['annotations'] += [{
"class": cls,
"height": height,
"width": width,
"x": x,
"y": y
}]
return item
if __name__ == '__main__':
annotations = []
anno_name = 'AR_001-550.json'
files = glob.glob('Annotations/AR_*.xml')
files = sorted(files)
# print files.sort()
for filename in files:
item = getAnnos(filename, prefix='TFS/JPEGImages/')
print item
print '-----------------'
annotations += [item] #"xmls/AL_00001.xml"
serializeToFile(anno_name, annotations)
以上这篇Python XML转Json之XML2Dict的使用方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持亿速云。
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