独自のデータを入れる

前提・実現したいこと

yolov3に独自のデータを入れることを行っています。今回は独自にbottleのクラスで自分たちで名前を付けて画像判別を行います。下記の参考文献で行ています。

発生している問題・エラーメッセージ

C:\Users\std09>C:/Users/std09/AppData/Local/Programs/Python/Python39/python.exe c:/Users/std09/Desktop/file/keras-yolo3-master/voc_annotation.py
Traceback (most recent call last):
  File "c:\Users\std09\Desktop\file\keras-yolo3-master\voc_annotation.py", line 27, in <module>
    image_ids = open('VOCdevkit/VOC%s/imageset/Main/%s.txt'%(year, image_set)).read().strip().split()
FileNotFoundError: [Errno 2] No such file or directory: 'VOCdevkit/VOC2007/imageset/Main/train.txt'

import xml.etree.ElementTree as ET
from os import getcwd

sets=[('2007', 'train'), ('2007', 'val'), ('2007', 'test')]

classes = ["aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"]


def _annotation(year, image_id, list_file):
    in_file = open('VOCdevkit/VOC%s/Annotations/%s.txt'%(year, image_id))
    tree=ET.parse(in_file)
    root = tree.getroot()

    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 = (int(xmlbox.find('xmin').text), int(xmlbox.find('ymin').text), int(xmlbox.find('xmax').text), int(xmlbox.find('ymax').text))
        list_file.write(" " + ",".join([str(a) for a in b]) + ',' + str(cls_id))

wd = getcwd()

for year, image_set in sets:
    image_ids = open('VOCdevkit/VOC%s/imageset/Main/%s.txt'%(year, image_set)).read().strip().split()
    list_file = open('%s_%s.txt'%(year, image_set), 'w')
    for image_id in image_ids:
        list_file.write('%s/VOCdevkit/VOC%s/JPEGImages/%s.jpg'%(wd, year, image_id))
        _annotation(year, image_id, list_file)
        list_file.write('\n')
    list_file.close()