xml_to_csv.py

import os
import glob
import pandas as pd
import xml.etree.ElementTree as ET


def xml_to_csv(path):
    xml_list = []
    for xml_file in glob.glob(path + '/*.xml'):
        tree = ET.parse(xml_file)
        root = tree.getroot()
        for member in root.findall('object'):
            value = (root.find('filename').text,
                     int(root.find('size')[0].text),
                     int(root.find('size')[1].text),
                     member[0].text,
                     int(member[4][0].text),
                     int(member[4][1].text),
                     int(member[4][2].text),
                     int(member[4][3].text)
                     )
            xml_list.append(value)
    column_name = ['filename', 'width', 'height', 'class', 'xmin', 'ymin', 'xmax', 'ymax']
    xml_df = pd.DataFrame(xml_list, columns=column_name)
    return xml_df


def main():
	'''
    for directory in ['train','testing']:
        image_path = os.path.join(os.getcwd(), 'images/{}'.format(directory).format(directory))
        xml_df = xml_to_csv(image_path)
        xml_df.to_csv('data/{}_labels.csv'.format(directory), index=None)
        print('Successfully converted xml to csv.')
	''' 
	image_path = os.path.join(os.getcwd(), 'images/train')
	xml_df = xml_to_csv(image_path)
	xml_df.to_csv('data/train_labels.csv', index=None)

	image_path = os.path.join(os.getcwd(), 'images/test')
	xml_df = xml_to_csv(image_path)
	xml_df.to_csv('data/test_labels.csv',index=None)

main()

so we have to create 2 folder named as train and test and put some images in both. and then run this code. right??

i dont know why we label test images. They are already for test and we shouldn't label them.