Python XML转Json之XML2Dict的使用方法

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]:


  VOC2007
  AL_00001.JPG
  
    800
    1160
    3
  
  
    l_faster
    Unspecified
    0
    0
    
      270
      376
      352
      503
    
  
  
    l_faster
    Unspecified
    0
    0
    
      262
      746
      355
      871
    
  
  
    r_faster
    Unspecified
    0
    0
    
      412
      376
      494
      486
    
  
  
    r_faster
    Unspecified
    0
    0
    
      411
      748
      493
      862
    
  

分析下这个文件的格式:

最外一层被包围

往里一层是:,,,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)


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