json转化为xml

   public static string JsonToXml(string strJson)
   {
      string Xml = "";
      XmlDictionaryReader reader = JsonReaderWriterFactory.CreateJsonReader(Encoding.UTF8.GetBytes(strJson), XmlDictionaryReaderQuotas.Max);
      XmlDocument doc = new XmlDocument();
      doc.Load(reader);
      Xml = doc.InnerXml;
      return Xml;
   }
### 将JSON格式数据转换为YOLO格式的XML标注文件 为了实现从JSON到适用于YOLO的目标检测XML标注文件的转换,可以遵循以下方法: #### 数据准备 首先确认JSON文件中的字段定义以及这些字段与YOLO所需信息之间的映射关系。通常情况下,JSON文件会包含图像名称、尺寸(宽度和高度)、对象列表及其边界框坐标等信息。 #### 编写Python脚本进行转换 编写一段Python代码来解析输入的JSON文件并生成对应的XML文件。此过程涉及读取JSON内容,提取必要的参数,并按照Pascal VOC XML标准构建新的文档结构[^1]。 ```python import json from lxml import etree as ET def create_xml(image_info, output_file): annotation = ET.Element('annotation') folder = ET.SubElement(annotation, 'folder').text = image_info.get('folder', '') filename = ET.SubElement(annotation, 'filename').text = image_info['file_name'] path = ET.SubElement(annotation, 'path').text = image_info.get('path', '') source = ET.SubElement(annotation, 'source') database = ET.SubElement(source, 'database').text = 'Unknown' size = ET.SubElement(annotation, 'size') width = ET.SubElement(size, 'width').text = str(image_info['image_width']) height = ET.SubElement(size, 'height').text = str(image_info['image_height']) depth = ET.SubElement(size, 'depth').text = '3' # Assuming RGB images segmented = ET.SubElement(annotation, 'segmented').text = '0' objects = image_info['objects'] # List of object dictionaries for obj in objects: obj_elem = ET.SubElement(annotation, 'object') name = ET.SubElement(obj_elem, 'name').text = obj['class_name'] pose = ET.SubElement(obj_elem, 'pose').text = 'Unspecified' truncated = ET.SubElement(obj_elem, 'truncated').text = str(int(obj.get('truncated', False))) difficult = ET.SubElement(obj_elem, 'difficult').text = str(int(obj.get('difficult', False))) bndbox = ET.SubElement(obj_elem, 'bndbox') xmin = ET.SubElement(bndbox, 'xmin').text = str(round(float(obj['bbox'][0]))) ymin = ET.SubElement(bndbox, 'ymin').text = str(round(float(obj['bbox'][1]))) xmax = ET.SubElement(bndbox, 'xmax').text = str(round(float(obj['bbox'][2]) + float(obj['bbox'][0]))) ymax = ET.SubElement(bndbox, 'ymax').text = str(round(float(obj['bbox'][3]) + float(obj['bbox'][1]))) tree = ET.ElementTree(annotation) with open(output_file, "wb") as f: tree.write(f, pretty_print=True) if __name__ == "__main__": input_json = './data.json' # Path to your JSON file output_dir = './output/' # Directory where you want the XML files saved if not os.path.exists(output_dir): os.makedirs(output_dir) with open(input_json) as f: data = json.load(f) for item in data: xml_filename = os.path.splitext(item["file_name"])[0]+'.xml' full_output_path = os.path.join(output_dir, xml_filename) create_xml(item, full_output_path) ``` 上述代码片段展示了如何基于给定的JSON数据创建符合Pascal VOC格式的XML文件。注意这里的`create_xml()`函数假设传入的是单张图片的信息字典;如果JSON中有多个条目,则需遍历整个列表分别处理每一条记录[^4]。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值