<annotation>
        <folder>images</folder>
        <filename>elon_musk.jpeg</filename>
        <path><Path_to>/elon_musk.jpeg</path>
        <source>
                <database>Unknown</database>
        </source>
        <size>
                <width>225</width>
                <height>225</height>
                <depth>3</depth>
        </size>
        <segmented>0</segmented>
        <object>
                <name>elon_musk</name>
                <pose>Unspecified</pose>
                <truncated>0</truncated>
                <difficult>0</difficult>
                <bndbox>
                        <xmin>42</xmin>
                        <ymin>12</ymin>
                        <xmax>199</xmax>
                        <ymax>171</ymax>
                </bndbox>
        </object>
</annotation>

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','test']:
        image_path = os.path.join(os.getcwd(), 'images/{}'.format(directory))
        xml_df = xml_to_csv(image_path)
        #Storing the csv file into the data directory.
        xml_df.to_csv('data/{}.csv'.format(directory), index=None)
        print('Successfully converted xml to csv.')

main()