I23_MLPin_training/xml_to_csv.py at master · DiamondLightSource/I23_MLPin_training · GitHub

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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()