xml2yolo脚本
- yolo所对应的格式是.txt,其中包含框的类别索引，中心点坐标，boundingboxs的宽，高。
import xml.etree.ElementTree as ET
import pickle
import os
from os import listdir, getcwd
from os.path import join
import glob
classes = ["crazing", "inclusion", "patches", "pitted_surface", "rolled-in_scale", "scratches"]
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)#中心点，宽，高
def convert_annotation(image_name):
in_file = open('./ANNOTATIONS/'+image_name[:-3]+'xml')#读入每张图片对应的.xml
out_file = open('./LABELS/'+image_name[:-3]+'txt','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'):
cls = obj.find('name').text
if cls not in classes:
print(cls)
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')#把名字和bbx写入到.txt文件
wd = getcwd()
if __name__ == '__main__':
for image_path in glob.glob("./IMAGES/*.jpg"):#读入图像数据名
image_name = image_path.split('\\')[-1]#只取名字后缀
#print(image_path)
convert_annotation(image_name)#转换标签