txt2xml：

import os
import cv2
from pathlib import Path

class_name = ["veg", "hot-spot", "crack", "soil"]


def txt2xml(txt_path, xml_path, img_path):
    if not os.path.exists(xml_path):
        os.makedirs(xml_path)
    txt_files = os.listdir(txt_path)
    for txt_file in txt_files:
        name = Path(txt_file).stem
        xml_file = xml_path + name + ".xml"
        img = img_path + name + ".jpg"
        txt = txt_path + txt_file
        print(img_path)
        print(txt_file)
        img = cv2.imread(img)
        H, W, C = img.shape
        txt = open(txt)
        txt_lists = txt.readlines()
        for txt_list in txt_lists:
            infors = txt_list.strip().split(" ")
            xml = open((xml_file), 'w')
            xml.write('<annotation>\n')
            xml.write('    <folder>yolov5_img</folder>\n')
            xml.write('    <filename>' + name + '.jpg' + '</filename>\n')
            xml.write('    <path>' + str(img_path) + '</path>\n')
            xml.write('    <source>\n')
            xml.write('         <database>Peaunt</database>\n')
            xml.write('    </source>\n')
            xml.write('    <size>\n')
            xml.write('        <width>' + str(W) + '</width>\n')
            xml.write('        <height>' + str(H) + '</height>\n')
            xml.write('        <depth>' + str(C) + '</depth>\n')
            xml.write('    </size>\n')
            xml.write('    <segmented>0</segmented>\n')
            xml.write('    <object>\n')
            xml.write('         <name>' + class_name[int(infors[0])] + '</name>\n')
            xml.write('         <pose>Unspecified</pose>\n')
            xml.write('         <truncated>0</truncated>\n')
            xml.write('         <difficult>0</difficult>\n')
            xml.write('         <bndbox>\n')
            xml.write('            <xmin>' + str(
                int(((float(infors[1])) * W) - (float(infors[3])) * 0.5 * W)) + '</xmin>\n')
            xml.write('            <ymin>' + str(
                int(((float(infors[2])) * H) - (float(infors[4])) * 0.5 * H)) + '</ymin>\n')
            xml.write('            <xmax>' + str(
                int(((float(infors[1])) * W) + (float(infors[3])) * 0.5 * W)) + '</xmax>\n')
            xml.write('            <ymax>' + str(
                int(((float(infors[2])) * H) + (float(infors[4])) * 0.5 * H)) + '</ymax>\n')
            xml.write('          </bndbox>\n')
            xml.write('    </object>\n')
            xml.close()
        xml = open((xml_file), 'a')
        xml.write('</annotation>')
        xml.close()


if __name__ == '__main__':
    txt_path = "E:/xy/VOC2007/labels/"
    xml_path = "E:/xy/VOC2007/annotations/"
    img_path = "E:/xy/VOC2007/JPEGImages/"
    txt2xml(txt_path, xml_path, img_path)

xml2txt;

# -*- coding: utf-8 -*-

import xml.etree.ElementTree as ET
import os
from os import getcwd

sets = ['train', 'val', 'test']
classes =["crack"]
abs_path = os.getcwd()


def convert(size, box):
    dw = 1. / (size[0])
    dh = 1. / (size[1])
    x = (box[0] + box[1]) / 2.0 - 1
    y = (box[2] + box[3]) / 2.0 - 1
    w = box[1] - box[0]
    h = box[3] - box[2]
    x = x * dw
    w = w * dw
    y = y * dh
    h = h * dh
    return x, y, w, h


def convert_annotation(image_id):
    in_file = open('Annotations/%s.xml' % (image_id),encoding='utf-8')
    out_file = open('labels/%s.txt' % (image_id), 'w',encoding='utf-8')
    tree = ET.parse(in_file)
    root = tree.getroot()
    size = root.find('size')
    w = int(size.find('width').text)
    h = int(size.find('height').text)
    for obj in root.iter('object'):
        difficult = obj.find('difficult').text
        cls = obj.find('name').text
        if cls not in classes or int(difficult) == 1:
            continue
        cls_id = classes.index(cls)
        xmlbox = obj.find('bndbox')
        b = (float(xmlbox.find('xmin').text), float(xmlbox.find('xmax').text), float(xmlbox.find('ymin').text),
             float(xmlbox.find('ymax').text))
        b1, b2, b3, b4 = b
        # 标注越界修正
        if b2 > w:
            b2 = w
        if b4 > h:
            b4 = h
        b = (b1, b2, b3, b4)
        bb = convert((w, h), b)
        out_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')


wd = getcwd()
for image_set in sets:
    if not os.path.exists('labels/'):
        os.makedirs('labels/')
    image_ids = open('hf_txt/%s.txt' % (image_set)).read().strip().split()
    list_file = open('%s.txt' % (image_set), 'w')
    for image_id in image_ids:
        list_file.write(abs_path + '/images/%s.jpg\n' % (image_id))
        convert_annotation(image_id)
    list_file.close()