yolo2xml.py convierte etiquetas txt en formato yolo a etiquetas xml
from xml.dom.minidom import Document
import os
import cv2
# def makexml(txtPath, xmlPath, picPath): # txt所在文件夹路径，xml文件保存路径，图片所在文件夹路径
def makexml(picPath, txtPath, xmlPath): # txt所在文件夹路径，xml文件保存路径，图片所在文件夹路径
"""此函数用于将yolo格式txt标注文件转换为voc格式xml标注文件
在自己的标注图片文件夹下建三个子文件夹，分别命名为picture、txt、xml
"""
dic = {
'0': "ball1",
'1': "ball2",
'2': "0degree", # 创建字典用来对类型进行转换
'3': "6degree", # 此处的字典要与自己的classes.txt文件中的类对应，且顺序要一致
'4': "12degree",'5': "18degree",'6': "24degree",'7': "30degree",'8': "36degree",'9': "42degree",'10': "48degree",'11': "54degree",'12': "60degree",'13': "66degree",'14': "72degree",'15': "78degree",'16': "84degree",'17': "90degree",'18': "96degree",'19': "102degree",'20': "108degree",'21': "114degree",'22': "120degree",'23': "126degree",'24': "132degree",
'25': "138degree",'26': "144degree",'27': "150degree",'28': "156degree",'29': "162degree",'30': "168degree",'31': "174degree",'32': "180degree",
}
files = os.listdir(txtPath)
for i, name in enumerate(files):
xmlBuilder = Document()
annotation = xmlBuilder.createElement("annotation") # 创建annotation标签
xmlBuilder.appendChild(annotation)
txtFile = open(txtPath +'\\'+ name)
txtList = txtFile.readlines()
for root,dirs,filename in os.walk(picPath):
img = cv2.imread(root+ '\\'+filename[i])
Pheight, Pwidth, Pdepth = img.shape
folder = xmlBuilder.createElement("folder") # folder标签
foldercontent = xmlBuilder.createTextNode("driving_annotation_dataset")
folder.appendChild(foldercontent)
annotation.appendChild(folder) # folder标签结束
filename = xmlBuilder.createElement("filename") # filename标签
filenamecontent = xmlBuilder.createTextNode(name[0:-4] + ".jpg")
filename.appendChild(filenamecontent)
annotation.appendChild(filename) # filename标签结束
size = xmlBuilder.createElement("size") # size标签
width = xmlBuilder.createElement("width") # size子标签width
widthcontent = xmlBuilder.createTextNode(str(Pwidth))
width.appendChild(widthcontent)
size.appendChild(width) # size子标签width结束
height = xmlBuilder.createElement("height") # size子标签height
heightcontent = xmlBuilder.createTextNode(str(Pheight))
height.appendChild(heightcontent)
size.appendChild(height) # size子标签height结束
depth = xmlBuilder.createElement("depth") # size子标签depth
depthcontent = xmlBuilder.createTextNode(str(Pdepth))
depth.appendChild(depthcontent)
size.appendChild(depth) # size子标签depth结束
annotation.appendChild(size) # size标签结束
for j in txtList:
oneline = j.strip().split(" ")
object = xmlBuilder.createElement("object") # object 标签
picname = xmlBuilder.createElement("name") # name标签
namecontent = xmlBuilder.createTextNode(dic[oneline[0]])
picname.appendChild(namecontent)
object.appendChild(picname) # name标签结束
pose = xmlBuilder.createElement("pose") # pose标签
posecontent = xmlBuilder.createTextNode("Unspecified")
pose.appendChild(posecontent)
object.appendChild(pose) # pose标签结束
truncated = xmlBuilder.createElement("truncated") # truncated标签
truncatedContent = xmlBuilder.createTextNode("0")
truncated.appendChild(truncatedContent)
object.appendChild(truncated) # truncated标签结束
difficult = xmlBuilder.createElement("difficult") # difficult标签
difficultcontent = xmlBuilder.createTextNode("0")
difficult.appendChild(difficultcontent)
object.appendChild(difficult) # difficult标签结束
bndbox = xmlBuilder.createElement("bndbox") # bndbox标签
xmin = xmlBuilder.createElement("xmin") # xmin标签
mathData = int(((float(oneline[1])) * Pwidth + 1) - (float(oneline[3])) * 0.5 * Pwidth)
xminContent = xmlBuilder.createTextNode(str(mathData))
xmin.appendChild(xminContent)
bndbox.appendChild(xmin) # xmin标签结束
ymin = xmlBuilder.createElement("ymin") # ymin标签
mathData = int(((float(oneline[2])) * Pheight + 1) - (float(oneline[4])) * 0.5 * Pheight)
yminContent = xmlBuilder.createTextNode(str(mathData))
ymin.appendChild(yminContent)
bndbox.appendChild(ymin) # ymin标签结束
xmax = xmlBuilder.createElement("xmax") # xmax标签
mathData = int(((float(oneline[1])) * Pwidth + 1) + (float(oneline[3])) * 0.5 * Pwidth)
xmaxContent = xmlBuilder.createTextNode(str(mathData))
xmax.appendChild(xmaxContent)
bndbox.appendChild(xmax) # xmax标签结束
ymax = xmlBuilder.createElement("ymax") # ymax标签
mathData = int(((float(oneline[2])) * Pheight + 1) + (float(oneline[4])) * 0.5 * Pheight)
ymaxContent = xmlBuilder.createTextNode(str(mathData))
ymax.appendChild(ymaxContent)
bndbox.appendChild(ymax) # ymax标签结束
object.appendChild(bndbox) # bndbox标签结束
annotation.appendChild(object) # object标签结束
f = open(xmlPath +'\\'+ name[0:-4] + ".xml", 'w')
xmlBuilder.writexml(f, indent='\t', newl='\n', addindent='\t', encoding='utf-8')
f.close()
if __name__ == "__main__":
picPath = r"G:\make_1.2M_6D_VOCdevkit\VOC2007\JPEGImages" # 图片所在文件夹路径，后面的/一定要带上
txtPath = r"G:\make_1.2M_6D_VOCdevkit\VOC2007\YOLOTXT" # yolo txt所在文件夹路径，后面的/一定要带上
xmlPath = r"G:\make_1.2M_6D_VOCdevkit\VOC2007\Annotations" # xml文件保存路径，后面的/一定要带上
makexml(picPath, txtPath, xmlPath)
bath_txt.py genera etiquetas txt en lotes.
#批量生成txt标签
#一个文件夹里有一个txt文档和608张JPG图像，复制608个txt，将txt文档里的内容分别写入608个txt,txt文档name为对应的JPG的name
import glob
import os
import shutil
Path=r"G:\1.2M_6D_data"
for root,dirs,filename in os.walk(Path):
for i in range(len(filename)):
if filename[i].endswith('.mat'):
os.remove(root+"\\"+filename[i])
with open(root+"\\"+filename[1],'r') as f:
content=f.read()
print(content)
if filename[i].endswith('jpg'):
name = filename[i].split('.')[0]
print(name)
new_txt=root+"\\"+name+'.txt' #创建txt文件
with open(new_txt,'w') as ff:
ff.write(content)
class2list.py se usa para imprimir los nombres de las clases en classes.txt en un formato de lista.
result = []
with open(r'C:\Users\YUXIAOYANG\Desktop\1.2M_6D_data\classes.txt' ,'r') as f:
for line in f:
result.append(line.strip().split(',')[0]) #a.append(b)：是将b原封不动的追加到a的末尾上，会改变a的值
#strip()用于移除字符串头尾指定的字符（默认为空格或者换行符）或字符序列
print(result)
print(result[0])
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El formato del conjunto de datos es se muestra en la siguiente figura.
Anotaciones: etiqueta xml
Conjuntos de imágenes: cuatro documentos de texto
Imágenes JPEG:
etiqueta de imagen: etiqueta txt en formato yolo
makeTxt.py es el siguiente. Documento de texto utilizado para generar ImageSets.
import os
import random
trainval_percent = 0.1
train_percent = 0.9
xmlfilepath = 'VOC2007/Annotations'
txtsavepath = 'VOC2007/ImageSets'
total_xml = os.listdir(xmlfilepath)
num = len(total_xml)
list = range(num)
tv = int(num * trainval_percent)
tr = int(tv * train_percent)
trainval = random.sample(list, tv)
train = random.sample(trainval, tr)
ftrainval = open('VOC2007/ImageSets/trainval.txt', 'w')
ftest = open('VOC2007/ImageSets/test.txt', 'w')
ftrain = open('VOC2007/ImageSets/train.txt', 'w')
fval = open('VOC2007/ImageSets/val.txt', 'w')
for i in list:
name = total_xml[i][:-4] + '\n'
if i in trainval:
ftrainval.write(name)
if i in train:
ftest.write(name)
else:
fval.write(name)
else:
ftrain.write(name)
ftrainval.close()
ftrain.close()
fval.close()
ftest.close()
voc_label.py es el siguiente. Se utiliza para generar tres archivos de texto en el mismo directorio que voc2007.
import xml.etree.ElementTree as ET
import pickle
import os
from os import listdir, getcwd
from os.path import join
sets = ['train', 'test', 'val']
classes = ['ball1', 'ball2', '0degree', '6degree', '12degree', '18degree', '24degree', '30degree', '36degree', '42degree', '48degree', '54degree', '60degree', '66degree', '72degree', '78degree', '84degree', '90degree', '96degree', '102degree', '108degree', '114degree', '120degree', '126degree', '132degree', '138degree', '144degree', '150degree', '156degree', '162degree', '168degree', '174degree', '180degree'] #改成自己的类别
def convert(size, box):
dw = 1. / size[0]
dh = 1. / size[1]
x = (box[0] + box[1]) / 2.0
y = (box[2] + box[3]) / 2.0
w = box[1] - box[0]
h = box[3] - box[2]
x = x * dw
w = w * dw
y = y * dh
h = h * dh
return (x, y, w, h)
def convert_annotation(image_id):
in_file = open('VOC2007/Annotations/%s.xml' % (image_id))
out_file = open('VOC2007/labels/%s.txt' % (image_id), 'w')
tree = ET.parse(in_file)
root = tree.getroot()
size = root.find('size')
w = int(size.find('width').text)
h = int(size.find('height').text)
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_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')
wd = getcwd()
print(wd)
for image_set in sets:
if not os.path.exists('VOC2007/labels/'):
os.makedirs('VOC2007/labels/')
image_ids = open('VOC2007/ImageSets/%s.txt' % (image_set)).read().strip().split()
list_file = open('VOC2007/%s.txt' % (image_set), 'w')
for image_id in image_ids:
list_file.write('VOC2007/JPEGImages/%s.jpg\n' % (image_id))
convert_annotation(image_id)
list_file.close()