目标检测标签文件txt转成xml
作者:快盘下载 人气:最近在用ppyolo训练好的模型对新采集的数据进行标记;再人工微调;减少从头打标签的时间;但是推理保存的结果都是txt格式的;想要在labelimg中可视化;那就需要将txt转换成xml。
以下代码即可完成这一功能。
# -*- coding:UTF-8 -*-
import os
import cv2
def txt_to_xml(classname_path, txt_path, img_path, xml_path):
# 1.读取txt文件中的标签类别
with open(classname_path, ;r;) as f:
classes = f.readlines() # list, 每个类别末尾都有;
;
classes = [cls.strip(;
;) for cls in classes]
# 2.找到txt标签文件夹
files = os.listdir(txt_path)
# 用于存储 ;老图;
pre_img_name = ;;
# 3.遍历文件夹
for i, name in enumerate(files):
# mac系统中文件夹里有该文件;默认的也删不掉;那就直接pass
if name == ;.DS_Store;:
continue
print(name)
# 4.打开txt
txtFile = open(txt_path ; name)
# 读取所有内容
txtList = txtFile.readlines()
# 读取图片名称
img_name = name.split(;.;)[0]
pic = cv2.imread(img_path ; img_name ; ;.jpg;)
# 获取图像大小信息
Pheight, Pwidth, Pdepth = pic.shape
# 5.遍历txt文件中每行内容
for row in txtList:
# 按; ;分割txt的一行的内容
oneline = row.strip().split(; ;)
# 遇到的是一张新图片
if img_name != pre_img_name:
# 6.新建xml文件
xml_file = open((xml_path ; img_name ; ;.xml;), ;w;)
xml_file.write(;<annotation>
;)
xml_file.write(; <folder>billiards</folder>
;)
xml_file.write(; <filename>; ; img_name ; ;.jpg; ; ;</filename>
;)
xml_file.write(; <path>E:/Images</path>
;)
xml_file.write(; <source>
;)
xml_file.write(; <database>orgaquant</database>
;)
xml_file.write(; </source>
;)
xml_file.write(; <size>
;)
xml_file.write(; <width>; ; str(Pwidth) ; ;</width>
;)
xml_file.write(; <height>; ; str(Pheight) ; ;</height>
;)
xml_file.write(; <depth>; ; str(Pdepth) ; ;</depth>
;)
xml_file.write(; </size>
;)
xml_file.write(; <object>
;)
xml_file.write(; <name>; ; classes[int(oneline[0])] ; ;</name>
;)
xml_file.write(; <difficult>; ; str(0) ; ;</difficult>
;)
xml_file.write(; <bndbox>
;)
xml_file.write(; <xmin>; ; str(
int(((float(oneline[1])) * Pwidth ; 1) - (float(oneline[3])) * 0.5 * Pwidth)) ; ;</xmin>
;)
xml_file.write(; <ymin>; ; str(
int(((float(oneline[2])) * Pheight ; 1) - (float(oneline[4])) * 0.5 * Pheight)) ; ;</ymin>
;)
xml_file.write(; <xmax>; ; str(
int(((float(oneline[1])) * Pwidth ; 1) ; (float(oneline[3])) * 0.5 * Pwidth)) ; ;</xmax>
;)
xml_file.write(; <ymax>; ; str(
int(((float(oneline[2])) * Pheight ; 1) ; (float(oneline[4])) * 0.5 * Pheight)) ; ;</ymax>
;)
xml_file.write(; </bndbox>
;)
xml_file.write(; </object>
;)
xml_file.close()
pre_img_name = img_name # 将其设为;老;图
else: # 不是新图而是;老图;
# 7.同一张图片;只需要追加写入object
xml_file = open((xml_path ; img_name ; ;.xml;), ;a;)
xml_file.write(; <object>
;)
xml_file.write(; <name>; ; classes[int(oneline[0])] ; ;</name>
;)
xml_file.write(; <difficult>; ; str(0) ; ;</difficult>
;)
;;; 按需添加这里和上面
xml_file.write(; <pose>Unspecified</pose>
;)
xml_file.write(; <truncated>0</truncated>
;)
xml_file.write(; <difficult>0</difficult>
;)
;;;
xml_file.write(; <bndbox>
;)
xml_file.write(; <xmin>; ; str(
int(((float(oneline[1])) * Pwidth ; 1) - (float(oneline[3])) * 0.5 * Pwidth)) ; ;</xmin>
;)
xml_file.write(; <ymin>; ; str(
int(((float(oneline[2])) * Pheight ; 1) - (float(oneline[4])) * 0.5 * Pheight)) ; ;</ymin>
;)
xml_file.write(; <xmax>; ; str(
int(((float(oneline[1])) * Pwidth ; 1) ; (float(oneline[3])) * 0.5 * Pwidth)) ; ;</xmax>
;)
xml_file.write(; <ymax>; ; str(
int(((float(oneline[2])) * Pheight ; 1) ; (float(oneline[4])) * 0.5 * Pheight)) ; ;</ymax>
;)
xml_file.write(; </bndbox>
;)
xml_file.write(; </object>
;)
xml_file.close()
# 8.读完txt文件最后写入</annotation>
xml_file1 = open((xml_path ; pre_img_name ; ;.xml;), ;a;)
xml_file1.write(;</annotation>;)
xml_file1.close()
print(;Done !;)
if __name__== ;__main__;:
classname_path = ;/Users/h1y/Documents/mac2server/billiards/billiards_classes.txt; # names文件的路径
# 修改成自己的文件夹 注意文件夹最后要加上/
txt_path = ;/Users/h1y/Documents/mac2server/billiards/txt2xml/labels/;
img_path = ;/Users/h1y/Documents/mac2server/billiards/txt2xml/images/;
xml_path = ;/Users/h1y/Documents/mac2server/billiards/txt2xml/;
txt_to_xml(classname_path, txt_path, img_path, xml_path)
其中;代码中第一步提到的类别标签txt文件内容格式如下;每一行为一个类别
转换后的xml文件和labelimg生成的格式一样;如下所示
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