Visdrone数据集.txt标签文件转换为yolov5所需.txt文件
处理办法：
1.将.txt 转为 .xml
2.将.xml 转为 yolov5 所需 .xml
因此需要准备两个转换函数
txt2xml.py
"""
该脚本用于visdrone数据处理；
将annatations文件夹中的txt标签文件转换为XML文件；
txt标签内容为：
,,,,,,,
类别：
ignored regions(0), pedestrian(1),
people(2), bicycle(3), car(4), van(5),
truck(6), tricycle(7), awning-tricycle(8),
bus(9), motor(10), others(11)
"""
import os
import cv2
import time
from xml.dom import minidom
name_dict = {'0': 'ignored regions', '1': 'pedestrian', '2': 'people',
'3': 'bicycle', '4': 'car', '5': 'van', '6': 'truck',
'7': 'tricycle', '8': 'awning-tricycle', '9': 'bus',
'10': 'motor', '11': 'others'}
def transfer_to_xml(pic, txt, file_name):
xml_save_path = 'xml' # 生成的xml文件存储的文件夹
if not os.path.exists(xml_save_path):
os.mkdir(xml_save_path)
img = cv2.imread(pic)
img_w = img.shape[1]
img_h = img.shape[0]
img_d = img.shape[2]
doc = minidom.Document()
annotation = doc.createElement("annotation")
doc.appendChild(annotation)
folder = doc.createElement('folder')
folder.appendChild(doc.createTextNode('visdrone'))
annotation.appendChild(folder)
filename = doc.createElement('filename')
filename.appendChild(doc.createTextNode(file_name))
annotation.appendChild(filename)
source = doc.createElement('source')
database = doc.createElement('database')
database.appendChild(doc.createTextNode("Unknown"))
source.appendChild(database)
annotation.appendChild(source)
size = doc.createElement('size')
width = doc.createElement('width')
width.appendChild(doc.createTextNode(str(img_w)))
size.appendChild(width)
height = doc.createElement('height')
height.appendChild(doc.createTextNode(str(img_h)))
size.appendChild(height)
depth = doc.createElement('depth')
depth.appendChild(doc.createTextNode(str(img_d)))
size.appendChild(depth)
annotation.appendChild(size)
segmented = doc.createElement('segmented')
segmented.appendChild(doc.createTextNode("0"))
annotation.appendChild(segmented)
with open(txt, 'r') as f:
lines = [f.readlines()]
for line in lines:
for boxes in line:
box = boxes.strip('\n')
box = box.split(',')
x_min = box[0]
y_min = box[1]
x_max = int(box[0]) + int(box[2])
y_max = int(box[1]) + int(box[3])
object_name = name_dict[box[5]]
# if object_name is 'ignored regions' or 'others':
# continue
object = doc.createElement('object')
nm = doc.createElement('name')
nm.appendChild(doc.createTextNode(object_name))
object.appendChild(nm)
pose = doc.createElement('pose')
pose.appendChild(doc.createTextNode("Unspecified"))
object.appendChild(pose)
truncated = doc.createElement('truncated')
truncated.appendChild(doc.createTextNode("1"))
object.appendChild(truncated)
difficult = doc.createElement('difficult')
difficult.appendChild(doc.createTextNode("0"))
object.appendChild(difficult)
bndbox = doc.createElement('bndbox')
xmin = doc.createElement('xmin')
xmin.appendChild(doc.createTextNode(x_min))
bndbox.appendChild(xmin)
ymin = doc.createElement('ymin')
ymin.appendChild(doc.createTextNode(y_min))
bndbox.appendChild(ymin)
xmax = doc.createElement('xmax')
xmax.appendChild(doc.createTextNode(str(x_max)))
bndbox.appendChild(xmax)
ymax = doc.createElement('ymax')
ymax.appendChild(doc.createTextNode(str(y_max)))
bndbox.appendChild(ymax)
object.appendChild(bndbox)
annotation.appendChild(object)
with open(os.path.join(xml_save_path, file_name + '.xml'), 'w') as x:
x.write(doc.toprettyxml())
x.close()
f.close()
if __name__ == '__main__':
t = time.time()
print('Transfer .txt to .xml...ing....')
txt_folder = 'D:\project\project-use\yolov5-6.0\VisDrone2018-DET-train\\annotations' # visdrone txt标签文件夹
txt_file = os.listdir(txt_folder)
img_folder = 'D:\project\project-use\yolov5-6.0\VisDrone2018-DET-train\\images' # visdrone 照片所在文件夹
count = 0
for txt in txt_file:
txt_full_path = os.path.join(txt_folder, txt)
img_full_path = os.path.join(img_folder, txt.split('.')[0] + '.jpg')
count = count + 1
print('txt to xml succeed:{}', count)
try:
transfer_to_xml(img_full_path, txt_full_path, txt.split('.')[0])
except Exception as e:
print(e)
print("Transfer .txt to .XML sucessed. costed: {:.3f}s...".format(time.time() - t))
xml2yolov5.py
import xml.etree.ElementTree as ET
from os import listdir, getcwd
import glob
classes = ['ignored regions', 'pedestrian', 'people',
'bicycle', 'car', 'van', 'truck',
'tricycle', 'awning-tricycle', 'bus',
'motor', 'others']
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_name): # 转换这一张图片的坐标表示方式（格式）,即读取xml文件的内容，计算后存放在txt文件中。
in_file = open('D:/project/project-use/yolov5-6.0/VisDrone2018-DET-val/xml/' + image_name[:-3] + 'xml') #xml文件夹目录
out_file = open('D:/project/project-use/yolov5-6.0/VisDrone2018-DET-val/labels/' + image_name[:-3] + 'txt', 'w') #生产txt的目录
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')
wd = getcwd()
if __name__ == '__main__':
for image_path in glob.glob(r'D:\project\project-use\yolov5-6.0\VisDrone2018-DET-val\images\*.jpg'):
image_name = image_path.split("\\")[-1]
convert_annotation(image_name)