本文主要是介绍全网最全的yolo系列转换工具，从txt转xml，再从xml转txt，亲自测试好用，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
在训练yolo的过程中，难免涉及标注的数据格式转化，经过了几次修改和迭代，最终把转化代码跟大家一起分享。
先把xml转txt部分的代码分享一下，py_convert_xml2txt.py：
# -*- coding:utf-8 -*-import os
import shutil
import cv2
import numpy as np
import xml.etree.ElementTree as ETwordname_coco = ['person','bicycle','car','motorbike','aeroplane','bus','train','truck','boat','traffic light','fire hydrant','stop sign','parking meter','bench','bird','cat','dog','horse','sheep','cow','elephant','bear', 'zebra','giraffe','backpack','umbrella','handbag','tie','suitcase','frisbee','skis','snowboard','sports ball','kite','baseball bat','baseball glove','skateboard','surfboard','tennis racket','bottle','wine glass','cup','fork','knife','spoon','bowl','banana','apple','sandwich','orange','broccoli','carrot','hot dog','pizza','donut','cake','chair','sofa','potted plant','bed','dining table','toilet','tv','laptop','mouse','remote','keyboard','cell phone','microwave','oven','toaster','sink','refrigerator','book','clock','vase','scissors','teddy bear','hair drier','toothbrush']wordname_voc = ['aeroplane','bicycle','bird','boat','bottle','bus','car','cat','chair','cow','diningtable','dog','horse','motorbike','person','pottedplant','sheep','sofa','sheep','train','tvmonitor']wordname_zkrc = ['person','car','cat','dog']#person car truck cat dogdef convert(size, box):dw = 1. / (size[0])dh = 1. / (size[1])x = (box[0] + box[1]) / 2.0 - 1y = (box[2] + box[3]) / 2.0 - 1w = box[1] - box[0]h = box[3] - box[2]x = x * dww = w * dwy = y * dhh = h * dhreturn (x, y, w, h)def convert_xml2txt_voc():#text_dir = './data/JPEGImages/'xml_dir = "./data/LR_person_car_dataset/train/"imagedir = "./data/LR_person_car_dataset/train/"out_txt_dir = './InfraredData/txt/'out_temp_txt_dir = './InfraredData/temp_Txt/'out_images_dir = './InfraredData/Images/'title = "20240823_4_"count = 0list = os.listdir(xml_dir) # 列出文件夹下所有的目录与文件for i in range(0, len(list)):name = os.path.splitext(list[i])if name[1] == '.xml':print(list[i])#changeTitle = title + str(i + 1) + "_"xml_path = xml_dir + list[i]jpg_path = imagedir + name[0] + '.jpg'if not os.path.isfile(jpg_path):jpg_path = imagedir + name[0] + '.jpeg'if not os.path.isfile(jpg_path):jpg_path = imagedir + name[0] + '.bmp'if not os.path.isfile(jpg_path):jpg_path = imagedir + name[0] + '.png'image = cv2.imread(jpg_path)if image is None:continue# if not os.path.isfile(jpg_path):# continuecount = count + 1changeTitle = title + str(count) + "_"out_file_name = out_temp_txt_dir + changeTitle + '.txt'out_jpg_name = out_images_dir + changeTitle + '.jpg'out_file = open(out_file_name, 'w')tree = ET.parse(xml_path)root = tree.getroot()size = root.find('size')w = int(size.find('width').text)h = int(size.find('height').text)num = 0for obj in root.iter('object'):cls = obj.find('name').text# print(cls)# num += 1# cls_id = 0#classes.index(cls)#cls_id = wordname_voc.index(cls)cls_id = -1if cls == 'person':cls_id = 0elif cls == 'car':cls_id = 1elif cls == 'cat':cls_id = 2elif cls == 'dog':cls_id = 3else:continuenum += 1xmlbox = 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_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')# left = int(xmlbox.find('xmin').text)# top = int(xmlbox.find('ymin').text)# right = int(xmlbox.find('xmax').text)# bottom = int(xmlbox.find('ymax').text)# font = cv2.FONT_HERSHEY_SIMPLEX# cv2.putText(image, cls, (left, top - 10), font, 1.2, (255, 255, 255), 2)# cv2.rectangle(image, (left, top), (right, bottom), (0, 0, 255), 2)# cv2.imshow("image", image)# cv2.waitKey(0)out_file.close()if num > 0:cv2.imwrite(out_jpg_name, image)shutil.copy(out_file_name, out_txt_dir)# if num > 1:# shutil.copy(jpg_path, out_images_dir)def check_txt_ok():test_dir = './InfraredData/test/'image_dir = "./InfraredData/Images/"txt_dir = './InfraredData/txt/'list = os.listdir(image_dir) # 列出文件夹下所有的目录与文件for i in range(0, len(list)):name = os.path.splitext(list[i])#print(name)#if name[1] == '.jpg':#print(name[1])count = 0if name[1] == '.jpg':jpg_path = image_dir + list[i]image = cv2.imread(jpg_path)shape = image.shapeprint(shape)# cv2.imshow("image",imaga)# cv2.waitKey(0)#print(name[1])filename = txt_dir + name[0] + '.txt'if os.path.isfile(filename):with open(filename, 'r') as file_to_read:while True:lines = file_to_read.readline() # 整行读取数据if not lines:breakpasscurLine = lines.split(" ")#floatLine = map(float, lines)# for i in len(lines):# print(lines[i])#print(curLine[0],curLine[1],curLine[2],curLine[3],curLine[4])numbers = [float(x) for x in curLine]numbers[0] = numbers[0]numbers[1] = numbers[1]*shape[1]numbers[2] = numbers[2] * shape[0]numbers[3] = numbers[3]*shape[1]/2numbers[4]= numbers[4] * shape[0]/2rect_info = [int(x) for x in numbers]#print(rect_info[0],rect_info[1], rect_info[2], rect_info[3], rect_info[4])font = cv2.FONT_HERSHEY_SIMPLEXcv2.putText(image, wordname_zkrc[rect_info[0]], (rect_info[1] - rect_info[3],rect_info[2] - rect_info[4] - 10), font, 1.2, (255, 255, 255), 2)cv2.rectangle(image,(rect_info[1] - rect_info[3],rect_info[2] - rect_info[4]),(rect_info[1] + rect_info[3],rect_info[2] + rect_info[4]), (0, 0, 255), 2)# saveFile = out_path + '/' + name[0] + '.jpg'#cv2.imwrite(saveFile,image)# count = count + 1# if count == 1:# returnsaveFile = test_dir + name[0] + '.jpg'cv2.imwrite(saveFile,image)# cv2.imshow("image", image)# cv2.waitKey(0)if __name__ == "__main__":#convert_xml2txt_coco()#convert_xml2txt_voc()check_txt_ok()再把txt转xml部分的代码分享一下，py_convert_txt2xml.py：
import os
import shutil
import xml.etree.ElementTree as ET
from xml.etree.ElementTree import Element, SubElement
from PIL import Image
import cv2
wordname_zkrc = ['person','car','cat','dog']
#wordname_zkrc = ['person','vehicle','animal','object']class Xml_make(object):def __init__(self):super().__init__()def __indent(self, elem, level=0):i = "\n" + level * "\t"if len(elem):if not elem.text or not elem.text.strip():elem.text = i + "\t"if not elem.tail or not elem.tail.strip():elem.tail = ifor elem in elem:self.__indent(elem, level + 1)if not elem.tail or not elem.tail.strip():elem.tail = ielse:if level and (not elem.tail or not elem.tail.strip()):elem.tail = idef _imageinfo(self, list_top):annotation_root = ET.Element('annotation')annotation_root.set('verified', 'no')tree = ET.ElementTree(annotation_root)'''0:xml_savepath 1:folder,2:filename,3:path4:checked,5:width,6:height,7:depth'''folder_element = ET.Element('folder')folder_element.text = list_top[1]annotation_root.append(folder_element)filename_element = ET.Element('filename')filename_element.text = list_top[2]annotation_root.append(filename_element)path_element = ET.Element('path')path_element.text = list_top[3]annotation_root.append(path_element)# checked_element = ET.Element('checked')# checked_element.text = list_top[4]# annotation_root.append(checked_element)source_element = ET.Element('source')database_element = SubElement(source_element, 'database')database_element.text = 'Unknown'annotation_root.append(source_element)size_element = ET.Element('size')width_element = SubElement(size_element, 'width')width_element.text = str(list_top[5])height_element = SubElement(size_element, 'height')height_element.text = str(list_top[6])depth_element = SubElement(size_element, 'depth')depth_element.text = str(list_top[7])annotation_root.append(size_element)segmented_person_element = ET.Element('segmented')segmented_person_element.text = '0'annotation_root.append(segmented_person_element)return tree, annotation_rootdef _bndbox(self, annotation_root, list_bndbox):for i in range(0, len(list_bndbox), 9):object_element = ET.Element('object')name_element = SubElement(object_element, 'name')name_element.text = list_bndbox[i]# flag_element = SubElement(object_element, 'flag')# flag_element.text = list_bndbox[i + 1]pose_element = SubElement(object_element, 'pose')pose_element.text = list_bndbox[i + 2]truncated_element = SubElement(object_element, 'truncated')truncated_element.text = list_bndbox[i + 3]difficult_element = SubElement(object_element, 'difficult')difficult_element.text = list_bndbox[i + 4]bndbox_element = SubElement(object_element, 'bndbox')xmin_element = SubElement(bndbox_element, 'xmin')xmin_element.text = str(list_bndbox[i + 5])ymin_element = SubElement(bndbox_element, 'ymin')ymin_element.text = str(list_bndbox[i + 6])xmax_element = SubElement(bndbox_element, 'xmax')xmax_element.text = str(list_bndbox[i + 7])ymax_element = SubElement(bndbox_element, 'ymax')ymax_element.text = str(list_bndbox[i + 8])annotation_root.append(object_element)return annotation_rootdef txt_to_xml(self, list_top, list_bndbox):tree, annotation_root = self._imageinfo(list_top)annotation_root = self._bndbox(annotation_root, list_bndbox)self.__indent(annotation_root)tree.write(list_top[0], encoding='utf-8', xml_declaration=True)def txt_2_xml(source_path, xml_save_dir, jpg_save_dir,txt_dir):COUNT = 0for folder_path_tuple, folder_name_list, file_name_list in os.walk(source_path):for file_name in file_name_list:file_suffix = os.path.splitext(file_name)[-1]if file_suffix != '.jpg':continuelist_top = []list_bndbox = []path = os.path.join(folder_path_tuple, file_name)xml_save_path = os.path.join(xml_save_dir, file_name.replace(file_suffix, '.xml'))txt_path = os.path.join(txt_dir, file_name.replace(file_suffix, '.txt'))filename = file_name#os.path.splitext(file_name)[0]checked = 'NO'#print(file_name)im = Image.open(path)im_w = im.size[0]im_h = im.size[1]#shutil.copy(path, jpg_save_dir)width = str(im_w)height = str(im_h)depth = '3'flag = 'rectangle'pose = 'Unspecified'truncated = '0'difficult = '0'list_top.extend([xml_save_path, folder_path_tuple, filename, path, checked, width, height, depth])for line in open(txt_path, 'r'):line = line.strip()info = line.split(' ')if 0 == int(info[0]):name = wordname_zkrc[0]elif 1 == int(info[0]):name = wordname_zkrc[1]elif 2 == int(info[0]):name = wordname_zkrc[2]elif 3 == int(info[0]):name = wordname_zkrc[3]else:name = wordname_zkrc[4]x_cen = float(info[1]) * im_wy_cen = float(info[2]) * im_hw = float(info[3]) * im_wh = float(info[4]) * im_hxmin = int(x_cen - w / 2)ymin = int(y_cen - h / 2)xmax = int(x_cen + w / 2)ymax = int(y_cen + h / 2)if xmin < 0:xmin = 0if ymin < 0:ymin = 0if xmax > im_w - 1:xmax = im_w - 1if ymax > im_h - 1:ymax = im_h - 1if w > 4 and h > 4:list_bndbox.extend([name, flag, pose, truncated, difficult,str(xmin), str(ymin), str(xmax), str(ymax)])if xmin < 0 or xmax > im_w - 1 or ymin < 0 or ymax > im_h - 1:print(xml_save_path)Xml_make().txt_to_xml(list_top, list_bndbox)COUNT += 1#print(COUNT, xml_save_path)if __name__ == "__main__":out_xml_path = "./4_classData/" # .xml输出文件存放地址out_jpg_path = "./4_classData/" # .jpg输出文件存放地址txt_path = "./images_all/" # yolov3标注.txt和图片文件夹images_path = "./images_all/" # image文件存放地址txt_2_xml(images_path, out_xml_path, out_jpg_path, txt_path)这篇关于全网最全的yolo系列转换工具，从txt转xml，再从xml转txt，亲自测试好用的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！
