labelimg中.txt转xml

可以使用以下步骤将LabelImg中的.txt文件转换为.xml文件：

1. 打开LabelImg软件并加载已经标注好的图像。
2. 点击“Save”按钮，将标注结果保存为一个.txt文件。
3. 使用Python中的脚本将.txt文件转换为.xml文件。以下是一个示例脚本：

import os
import glob
import pandas as pd
import xml.etree.ElementTree as ET

def txt_to_xml(txt_file, output_path):
    # 获取txt文件中的数据
    with open(txt_file, 'r') as f:
        data = f.readlines()

    # 解析txt数据并创建xml文件
    root = ET.Element("annotation")
    ET.SubElement(root, "folder").text = "images"
    ET.SubElement(root, "filename").text = os.path.basename(txt_file).replace(".txt", ".jpg")
    size = ET.SubElement(root, "size")
    ET.SubElement(size, "width").text = "1920"
    ET.SubElement(size, "height").text = "1080"
    ET.SubElement(size, "depth").text = "3"
    ET.SubElement(root, "segmented").text = "0"

    for line in data:
        line = line.strip().split(' ')
        class_name = line[0]
        x_min = line[1]
        y_min = line[2]
        x_max = line[3]
        y_max = line[4]

        obj = ET.SubElement(root, "object")
        ET.SubElement(obj, "name").text = class_name
        ET.SubElement(obj, "pose").text = "Unspecified"
        ET.SubElement(obj, "truncated").text = "0"
        ET.SubElement(obj, "difficult").text = "0"
        bndbox = ET.SubElement(obj, "bndbox")
        ET.SubElement(bndbox, "xmin").text = x_min
        ET.SubElement(bndbox, "ymin").text = y_min
        ET.SubElement(bndbox, "xmax").text = x_max
        ET.SubElement(bndbox, "ymax").text = y_max

    # 保存xml文件
    xml_file = os.path.join(output_path, os.path.basename(txt_file).replace(".txt", ".xml"))
    tree = ET.ElementTree(root)
    tree.write(xml_file)

if __name__ == '__main__':
    # 获取所有的txt文件
    txt_files = glob.glob("/path/to/labelimg/*.txt")

    # 创建输出目录
    output_path = "/path/to/xml"
    os.makedirs(output_path, exist_ok=True)

    # 转换每个txt文件为xml文件
    for txt_file in txt_files:
        txt_to_xml(txt_file, output_path)

4. 运行脚本并将.txt文件转换为.xml文件。将脚本中的路径替换为您自己的路径。
5. 检查生成的.xml文件是否正确，并将其用于您的目标检测模型训练。