在做目标检测时,标注数据集往往使用labelimg,但一般情况下生成的是xml格式的文件。xml转txt
import os
import os.path
import xml.etree.ElementTree as ET
import glob
class_names = ['good','bad'] # 类别名,依次写下来
dirpath = r'./data' # 原来存放xml文件的目录
newdir = r'./output' # 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
for child in root.findall('object'): # 找到图片中的所有框
name = child.find('name').text # 找到类别名
class_num = class_names.index(name) #
sub = child.find('bndbox') # 找到框的标注值并进行读取
xmin = float(sub[0].text)
ymin = float(sub[1].text)
xmax = float(sub[2].text)
ymax = float(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 = (xmin + xmax) / (2 * width)
y_center = (ymin + ymax) / (2 * height)
w = (xmax - xmin) / width
h = (ymax - ymin) / height
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(class_num), str(x_center), str(y_center), str(w), str(h) + '\n']))