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)

        xml_df.to_csv('data/Sag_1-491_Jun22_{}_labels.csv'.format(directory), index=None)

        print('Successfully converted xml to csv.')

main()