数据标注:labelTools数据标注中xml文件转化为txt文件
1 介绍
在利用labelTools对数据进行标注的时候,经常容易忘记选择YOLO选项,导致标注出来的标签文件是xml格式,该格式无法用于目标检测任务的训练,因此,本文主要介绍了一种可以批量读取xml文件并将其转化为txt文件格式的方法。代码如下。
2 代码
import os
import xml.etree.ElementTree as ET
from decimal import Decimal
dirpath = E:\0911-0951最后一个文件夹\20190215-211313 {3D675E7F-B913-41B0-B915-9381A662A919}(SHDT-0916(A))\ZXB_LC01D\xml # 原来存放xml文件的目录
newdir = E:\0911-0951最后一个文件夹\20190215-211313 {3D675E7F-B913-41B0-B915-9381A662A919}(SHDT-0916(A))\ZXB_LC01D\new_label # 修改label后形成的txt目录
if not os.path.exists(newdir):
os.makedirs(newdir)
for fp in os.listdir(dirpath):
root = ET.parse(os.path.join(dirpath, fp)).getroot()
xmin, ymin, xmax, ymax = 0, 0, 0, 0
sz = root.find(size)
width = float(sz[0].text)
height = float(sz[1].text)
filename = root.find(filename).text
print(fp)
with open(os.path.join(newdir, fp.split(.)[0] + .txt), a+) as f:
for child in root.findall(object): # 找到图片中的所有框
sub = child.find(bndbox) # 找到框的标注值并进行读取
sub_label = child.find(name)
xmin = int(sub[0].text)
ymin = int(sub[1].text)
xmax = int(sub[2].text)
ymax = int(sub[3].text)
try: # 转换成yolov3的标签格式,需要归一化到(0-1)的范围内
x_center = Decimal(str(round(float((xmin + xmax) / (2 * width)),6))).quantize(Decimal(0.000000))
y_center = Decimal(str(round(float((ymin + ymax) / (2 * height)),6))).quantize(Decimal(0.000000))
w = Decimal(str(round(float((xmax - xmin) / width),6))).quantize(Decimal(0.000000))
h = Decimal(str(round(float((ymax - ymin) / height),6))).quantize(Decimal(0.000000))
print(str(x_center) + + str(y_center)+ +str(w)+ +str(h))
if sub_label.text == FrontBolt:
f.write( .join([str(0), str(x_center), str(y_center), str(w), str(h) +
]))
if sub_label.text == SideBolt:
f.write( .join([str(1), str(x_center), str(y_center), str(w), str(h) +
]))
if sub_label.text == Part:
f.write( .join([str(2), str(x_center), str(y_center), str(w), str(h) +
]))
except ZeroDivisionError:
print(filename, 的 width有问题)
# with open(os.path.join(newdir, fp.split(.)[0] + .txt), a+) as f:
# f.write( .join([str(2), str(x_center), str(y_center), str(w), str(h) +
]))
3 效果展示
右边为转化之前的xml文件,左边为转化之后的txt文件。
