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voc2yolo.py
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import xml.etree.ElementTree as ET
import pickle
import os
from os import listdir, getcwd
from os.path import join
def convert(size, box):
# size=(width, height) b=(xmin, xmax, ymin, ymax)
# x_center = (xmax+xmin)/2 y_center = (ymax+ymin)/2
# x = x_center / width y = y_center / height
# w = (xmax-xmin) / width h = (ymax-ymin) / height
x_center = (box[0] + box[1]) / 2.0
y_center = (box[2] + box[3]) / 2.0
x = x_center / size[0]
y = y_center / size[1]
w = (box[1] - box[0]) / size[0]
h = (box[3] - box[2]) / size[1]
# print(x, y, w, h)
return (x, y, w, h)
def convert_annotation(xml_files_path, save_txt_files_path, classes):
xml_files = os.listdir(xml_files_path)
print(xml_files)
for xml_name in xml_files:
print(xml_name)
xml_file = os.path.join(xml_files_path, xml_name)
out_txt_path = os.path.join(save_txt_files_path, xml_name.split('.')[0] + '.txt')
out_txt_f = open(out_txt_path, 'w')
tree = ET.parse(xml_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))
# b=(xmin, xmax, ymin, ymax)
print(w, h, b)
bb = convert((w, h), b)
out_txt_f.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')
if __name__ == "__main__":
# 测试程序
# classes = ['hard_hat', 'other', 'regular', 'long_hair', 'braid', 'bald', 'beard']
# xml_files = r'D:\ZF\1_ZF_proj\3_脚本程序\2_voc格式转yolo格式\voc_labels'
# save_txt_files = r'D:\ZF\1_ZF_proj\3_脚本程序\2_voc格式转yolo格式\yolo_labels'
# convert_annotation(xml_files, save_txt_files, classes)
# ====================================================================================================
# 把帽子头发胡子的voc的xml标签文件转化为yolo的txt标签文件
# 1、帽子头发胡子的类别
classes1 = ['aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', 'dog',
'horse', 'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor']
# 2、voc格式的xml标签文件路径
xml_files1 = r'G:\Fundamental\VOCdevkit\VOC2012\Annotations'
# 3、转化为yolo格式的txt标签文件存储路径
save_txt_files1 = r'G:\Fundamental\VOCdevkit\VOC2012\labels'
convert_annotation(xml_files1, save_txt_files1, classes1)