Created
December 1, 2020 05:54
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# XML TO CSV | |
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+".jpg", | |
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 convert(): | |
for directory in ['train', 'test']: | |
image_path = f'Tensorflow/workspace/images/{directory}' | |
xml_df = xml_to_csv(image_path) | |
xml_df.to_csv( | |
'Tensorflow/workspace/annotations/{}labels.csv'.format(directory), index=None) | |
print('Successfully converted xml to csv.') |
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