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- '''
- 2020/6/15,标注文件转换xml转txt(vol to yolo)转完后需添加labels文件,即数字序号对应的标签名。
- '''
-
- import xml.etree.ElementTree as ET
- import numpy as np
- import pickle
- import os
- import cv2
- from os import listdir, getcwd
- from os.path import join
-
- classes = ['Boeing737', 'Boeing747', 'Boeing777', 'Boeing787', 'C919', 'A220', 'A321', 'A330', 'A350', 'ARJ21',
- 'other-airplane', 'Passenger Ship', 'Motorboat', 'Fishing Boat', 'Tugboat', 'Engineering Ship',
- 'Liquid Cargo Ship', 'Dry Cargo Ship', 'Warship', 'other-ship', 'Small Car', 'Bus', 'Cargo Truck',
- 'Dump Truck', 'Van', 'Trailer', 'Tractor', 'Excavator', 'Truck Tractor', 'other-vehicle', 'Basketball Court',
- 'Tennis Court', 'Football Field', 'Baseball Field', 'Intersection', 'Roundabout', 'Bridge']
-
-
- 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
- w = w * dw
- y = y * dh
- h = h * dh
- if w >= 1:
- w = 0.99
- if h >= 1:
- h = 0.99
- return (x, y, w, h)
-
-
- def convert_annotation(rootpath, xmlpath, xmlname):
- xmlfile = os.path.join(xmlpath, xmlname)
- with open(xmlfile, "r", encoding='UTF-8') as in_file:
- txtname = xmlname[:-4] + '.txt'
- txtpath = rootpath + '/labelTxt' # 生成的.txt文件会被保存在labelTxt目录下
- if not os.path.exists(txtpath):
- os.makedirs(txtpath)
- txtfile = os.path.join(txtpath, txtname)
- with open(txtfile, "w+", encoding='UTF-8') as out_file:
- tree = ET.parse(in_file)
- root = tree.getroot()
- size = root.find('size')
- w = int(size.find('width').text) # 图片的宽
- h = int(size.find('height').text)
- # print(w, h)
- out_file.truncate()
- for obj in root.iter('object'):
- possibleresult = obj.find('possibleresult')
- cls_name = possibleresult.find('name').text
- if cls_name not in classes:
- print("Appear not clear class name!!!!")
- exit()
- cls_name = cls_name.replace(" ", "-")
- points = obj.find('points')
- data = ""
- for i in range(0, len(points) - 1): # 只遍历前四个点
- point = points[i]
- xy = point.text.split(",")
- x = int(float(xy[0]))
- y = int(float(xy[1]))
- data = data + str(x) + " "
- data = data + str(y) + " "
- data = data + cls_name + " " + str(0)
- print(data)
- out_file.write(data + '\n')
-
-
- if __name__ == "__main__":
- rootpath = 'train'
- xmlpath = rootpath + '/labelXml' # 标签文件所在的路径
- list = os.listdir(xmlpath)
- for i in range(0, len(list)):
- path = os.path.join(xmlpath, list[i])
- if ('.xml' in path) or ('.XML' in path):
- convert_annotation(rootpath, xmlpath, list[i])
- print('---------------done--------------', i, '----------------------------------------')
- else:
- print('not xml file', i)
-
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