VOC格式标签与yolo格式标签互相转换代码

1.yolo格式转换为voc格式

import os
import glob
from PIL import Image

# 将yolo格式(txt)转换为voc格式(xml)

img_path = 'JPEGImages'
yolo_txt = 'labels'
voc_annotations = 'Annotations'

# 目标类别
labels = ['Pinhole', 'Scratch', 'Dirty', 'Fold']
# labels = ['zhen_kong', 'ca_shang', 'zang_wu', 'zhe_zhou']
# 图像存储位置
src_img_dir = img_path  # 添加你的路径
# 图像的txt文件存放位置
src_txt_dir = yolo_txt
src_xml_dir = voc_annotations

img_Lists = glob.glob(src_img_dir + '/*.jpg')

img_basenames = []
for item in img_Lists:
    img_basenames.append(os.path.basename(item))

img_names = []
for item in img_basenames:
    temp1, temp2 = os.path.splitext(item)
    img_names.append(temp1)

for img in img_names:
    im = Image.open((src_img_dir + '/' + img + '.jpg'))
    width, height = im.size

    # 打开txt文件
    gt = open(src_txt_dir + '/' + img + '.txt').read().splitlines()
    print(gt)
    if gt:
        # 将主干部分写入xml文件中
        xml_file = open((src_xml_dir + '/' + img + '.xml'), 'w')
        xml_file.write('\n')
        xml_file.write('    VOC2007\n')
        xml_file.write('    ' + str(img) + '.jpg' + '\n')
        xml_file.write('    \n')
        xml_file.write('        ' + str(width) + '\n')
        xml_file.write('        ' + str(height) + '\n')
        xml_file.write('        3\n')
        xml_file.write('    \n')
        xml_file.write('\n')
        xml_file.write('    Unknown\n')
        xml_file.write('\n')
        xml_file.write('0\n')
        # write the region of image on xml file
        for img_each_label in gt:
            spt = img_each_label.split(' ')  # 这里如果txt里面是以逗号‘，’隔开的，那么就改为spt = img_each_label.split(',')。
            print(f'spt:{spt}')
            xml_file.write('    \n')

        xml_file.write('')

2.voc格式转换为yolo格式

import xml.etree.ElementTree as ET
import os

# voc格式转换为yolo格式

def convert(size, box):

    x_center = (box[0] + box[1]) / 2.0
    y_center = (box[2] + box[3]) / 2.0
    x = x_center / size[0]
    y = y_center / size[1]

    w = (box[1] - box[0]) / size[0]
    h = (box[3] - box[2]) / size[1]

    # print(x, y, w, h)
    return (x, y, w, h)


def convert_annotation(xml_files_path, save_txt_files_path, classes):
    xml_files = os.listdir(xml_files_path)
    # print(xml_files)
    for xml_name in xml_files:
        # print(xml_name)
        xml_file = os.path.join(xml_files_path, xml_name)
        out_txt_path = os.path.join(save_txt_files_path, xml_name.split('.')[0] + '.txt')
        out_txt_f = open(out_txt_path, 'w')
        tree = ET.parse(xml_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))
            # b=(xmin, xmax, ymin, ymax)
            # print(w, h, b)
            bb = convert((w, h), b)
            out_txt_f.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')


if __name__ == "__main__":
    # 把voc的xml标签文件转化为yolo的txt标签文件
    # 1、需要转化的类别
    classes = ['pinhole', 'scratch', 'dirty', 'fold']  # 注意：这里根据自己的类别名称及种类自行更改
    # 2、voc格式的xml标签文件路径
    xml_files1 = r'Annotations'
    # 3、转化为yolo格式的txt标签文件存储路径
    save_txt_files1 = r'test'

    convert_annotation(xml_files1, save_txt_files1, classes)

参考：VOC格式xml标签与YOLO格式txt标签相互转换_ID茉莉的博客-CSDN博客_voc xml格式