将xml标签文件转成txt标签文件
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import os
import xml.etree.ElementTree as ET
def convert_xml_to_txt(xml_file, txt_file):
tree = ET.parse(xml_file)
root = tree.getroot()
# 获取图像的宽度和高度
size = root.find('size')
image_width = float(size.find('width').text)
image_height = float(size.find('height').text)
with open(txt_file, 'w') as f:
for obj in root.findall('object'):
name = obj.find('name').text
if name == 'person': # 只处理person类别
bndbox = obj.find('bndbox')
xmin = float(bndbox.find('xmin').text)
ymin = float(bndbox.find('ymin').text)
xmax = float(bndbox.find('xmax').text)
ymax = float(bndbox.find('ymax').text)
# 归一化坐标
x_center = (xmin + xmax) / 2.0 / image_width
y_center = (ymin + ymax) / 2.0 / image_height
width = (xmax - xmin) / image_width
height = (ymax - ymin) / image_height
# 写入txt文件,格式为:class x_center y_center width height
f.write(f"0 {x_center:.6f} {y_center:.6f} {width:.6f} {height:.6f}\n")
def process_folder(xml_folder, output_folder):
# 确保输出文件夹存在
if not os.path.exists(output_folder):
os.makedirs(output_folder)
# 遍历文件夹中的所有xml文件
for xml_file in os.listdir(xml_folder):
if xml_file.endswith('.xml'):
xml_path = os.path.join(xml_folder, xml_file)
txt_filename = os.path.splitext(xml_file)[0] + '.txt'
txt_path = os.path.join(output_folder, txt_filename)
convert_xml_to_txt(xml_path, txt_path)
print(f"Processed: {xml_path} -> {txt_path}")
if __name__ == "__main__":
xml_folder = r"C:\Users\DELL\Desktop\VOC2007\Annotations" # 替换为你的XML文件夹路径
output_folder = r"C:\Users\DELL\Desktop\VOC2007\txt" # 替换为你的输出TXT文件夹路径
process_folder(xml_folder, output_folder)
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