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import xml.etree.ElementTree as ET import os 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] 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 found:", xml_files) for xml_name in xml_files: 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') # 确保输出目录存在 os.makedirs(os.path.dirname(out_txt_path), exist_ok=True) try: tree = ET.parse(xml_file) root = tree.getroot() size = root.find('size') w = int(size.find('width').text) h = int(size.find('height').text) with open(out_txt_path, 'w') as out_txt_f: 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)) bb = convert((w, h), b) out_txt_f.write(f"{cls_id} " + " ".join([str(a) for a in bb]) + '\n') print(f"Converted {xml_name} to {out_txt_path}") except ET.ParseError as e: print(f"Could not parse {xml_name}: {e}") except Exception as e: print(f"Error processing {xml_name}: {e}") if __name__ == "__main__": # 需要转换的类别,需要一一对应 classes1 = ['crazing', 'inclusion', 'patches', 'pitted_surface', 'rolled-in_scale', 'scratches'] # VOC格式的XML标签文件路径 xml_files1 = r'D:\Academic\Deep Learning\yolov10-main\data\NEU\NEU-DET (1)\ANNOTATIONS' # 转化为YOLO格式的TXT标签文件存储路径 save_txt_files1 = r'D:\Academic\Deep Learning\yolov10-main\data\NEU\NEU-DET (1)\labels' # 创建保存目录(如果不存在) if not os.path.exists(save_txt_files1): os.makedirs(save_txt_files1) convert_annotation(xml_files1, save_txt_files1, classes1)
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