xml转txt

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先操作一波

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path = "images/"

for filenames in os.walk(pathh):
    filenames = list(filenames)
    filenames = filenames[2]
    for filename in filenames:
        print(filename)
        with open ("class_train1.txt",'a') as f:
            f.write(path+filename+'\n')

再操作一波

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# -*- coding: utf-8 -*-

import xml.etree.ElementTree as ET
import pickle
import os
from os import listdir, getcwd
from os.path import join

sets = []
classes = ["dog", "person", "cat"]


# 原样保留。size为图片大小
# 将ROI的坐标转换为yolo需要的坐标
# size是图片的w和h
# box里保存的是ROI的坐标（x，y的最大值和最小值）
# 返回值为ROI中心点相对于图片大小的比例坐标，和ROI的w、h相对于图片大小的比例
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
    return (x, y, w, h)


def convert_annotation(image_add):
    # image_add进来的是带地址的.jpg
    image_add = os.path.split(image_add)[1]  # 截取文件名带后缀
    image_add = image_add[0:image_add.find('.', 1)]  # 删除后缀，现在只有文件名没有后缀
    print(image_add)
    # 现在传进来的只有图片名没有后缀

    in_file = open('xml/' + image_add + '.xml',encoding='utf-8')

    out_file = open('hebing2/labels/%s.txt' % (image_add), '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)

    # 在一个XML中每个Object的迭代
    for obj in root.iter('object'):
        # iter()方法可以递归遍历元素/树的所有子元素


        # 找到所有的椅子
        cls = obj.find('name').text
        # 如果训练标签中的品种不在程序预定品种，或者difficult = 1，跳过此object

        # cls_id 只等于1
        cls_id = 0
        xmlbox = obj.find('bndbox')
        # b是每个Object中，一个bndbox上下左右像素的元组
        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')


if not os.path.exists('hebing2/labels/'):
    os.makedirs('hebing2/labels/')
image_adds = open("class_train1.txt")
for image_add in image_adds:
    # print(image_add)
    image_add = image_add.strip()
    # print (image_add)
    convert_annotation(image_add)

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