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# based on https://github.com/datitran/raccoon_dataset/blob/master/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 folder in ['train', 'test']: | |
image_path = os.path.join(os.getcwd(), ('images/' + folder)) | |
xml_df = xml_to_csv(image_path) | |
xml_df.to_csv(('images/'+folder+'_labels.csv'), index=None) | |
print('Successfully converted xml to csv.') | |
main() |