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Pochii07 avatar Pochii07 commented on August 16, 2024

im having the same issue did you find the solution?

from tensorflow-lite-object-detection-on-android-and-raspberry-pi.

Pochii07 avatar Pochii07 commented on August 16, 2024

i have found the solution:

change the code of create_csv.py to this:

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'):
            try:
                filename = root.find('filename').text
                width = int(root.find('size')[0].text)
                height = int(root.find('size')[1].text)
                class_name = member[0].text
                bbox = member.find('bndbox')
                
                if bbox is not None:
                    xmin = int(bbox.find('xmin').text)
                    ymin = int(bbox.find('ymin').text)
                    xmax = int(bbox.find('xmax').text)
                    ymax = int(bbox.find('ymax').text)
                    
                    value = (filename, width, height, class_name, xmin, ymin, xmax, ymax)
                    xml_list.append(value)
                else:
                    print(f"No bounding box found in file: {xml_file}")
            except IndexError as e:
                print(f"IndexError: {e} in file: {xml_file}")
            except AttributeError as e:
                print(f"AttributeError: {e} in file: {xml_file}")

    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', 'validation']:
        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()

from tensorflow-lite-object-detection-on-android-and-raspberry-pi.

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