voc_annotation.py

import xml.etree.ElementTree as ET

sets=[('carplate_train'), ('carplate_test')]
classes = ['car', 'plate']


def convert_annotation(image_id, list_file):
    in_file = open('CarPlate_dataset/annotations/%s.xml'%(image_id))
    tree=ET.parse(in_file)
    root = tree.getroot()

    for obj in root.iter('object'):
        difficult = obj.find('difficult').text
        cls = obj.find('name').text
        if cls not in classes or int(difficult)==1:
            continue
        cls_id = classes.index(cls)
        xmlbox = obj.find('bndbox')
        b = (int(xmlbox.find('xmin').text), int(xmlbox.find('ymin').text), int(xmlbox.find('xmax').text), int(xmlbox.find('ymax').text))
        list_file.write(" " + ",".join([str(a) for a in b]) + ',' + str(cls_id))


for image_set in sets:
    image_ids = open('CarPlate_dataset/%s.txt'%(image_set)).read().strip().split()
    list_file = open('CarPlate_dataset/%s_data.txt'%(image_set), 'w')
    for image_id in image_ids:
        list_file.write('CarPlate_dataset/images/%s'%(image_id))
        convert_annotation(image_id.split('.')[0], list_file)
        list_file.write('\n')
    list_file.close()