66 lines
2.7 KiB
Python
66 lines
2.7 KiB
Python
#标签xml转txt
|
|
import xml.etree.ElementTree as ET
|
|
import os
|
|
from os import getcwd
|
|
|
|
sets = ['train', 'val', 'test']
|
|
classes = ["6925303773908", "6924743915848", "6920152471616", "6920005772716", "6902227018162",
|
|
"6920459905012", "6972194461407", "6935284412918", "6921489033706", "6904012526494",
|
|
"6923644272159", "6924882486100", "6956511907458"]
|
|
abs_path = os.getcwd()
|
|
print(abs_path)
|
|
|
|
def convert(size, box):
|
|
dw = 1. / (size[0])
|
|
dh = 1. / (size[1])
|
|
x = (box[0] + box[1]) / 2.0 - 1
|
|
y = (box[2] + box[3]) / 2.0 - 1
|
|
w = box[1] - box[0]
|
|
h = box[3] - box[2]
|
|
x = x * dw
|
|
y = y * dh
|
|
w = w * dw
|
|
h = h * dh
|
|
return x, y, w, h
|
|
|
|
def convert_annotation(image_id):
|
|
in_file = open(r'/home/nxy/nxy_project/python_project/Data/paper_data/Annotations/%s.xml' % (image_id), encoding='UTF-8')
|
|
out_file = open(r'/home/nxy/nxy_project/python_project/Data/paper_data/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
|
|
# 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))
|
|
b1, b2, b3, b4 = b
|
|
# 标注越界修正
|
|
if b2 > w:
|
|
b2 = w
|
|
if b4 > h:
|
|
b4 = h
|
|
b = (b1, b2, b3, b4)
|
|
bb = convert((w, h), b)
|
|
out_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')
|
|
|
|
wd = getcwd()
|
|
for image_set in sets:
|
|
if not os.path.exists(r'/home/nxy/nxy_project/python_project/Data/paper_data/labels'):
|
|
os.makedirs(r'/home/nxy/nxy_project/python_project/Data/paper_data/labels')
|
|
image_ids = open(r'/home/nxy/nxy_project/python_project/Data/paper_data/ImageSets/Main/%s.txt' % (image_set)).read().strip().split()
|
|
list_file = open('/home/nxy/nxy_project/python_project/Data/paper_data/%s.txt' % (image_set), 'w')
|
|
for image_id in image_ids:
|
|
list_file.write(abs_path + '/paper_data/images/%s.jpg\n' % (image_id))
|
|
convert_annotation(image_id)
|
|
print("Converting...")
|
|
list_file.close()
|
|
|
|
#(yv5_1) pfc@ps:/home/nxy/nxy_project/python_project/Data/paper_data/labels$ mv ./* /home/nxy/nxy_project/python_project/Data/zhanting_add/labels/train/ |