import os
import pandas as pd
import numpy as np
df = pd.read_csv('plates/labels.info', sep='\n', names=['filepath'])
label_df = pd.DataFrame({'filepath': df['filepath'].iloc[::2].values,
    'platenum': df['filepath'].iloc[1::2].values})
filename = 'data-path.txt'
label_df.to_csv(path_or_buf='train-path.txt', sep=' ', index=False, header=
    False)

7ed4db515eaf2cf235f5b370b2048851028cc795
<mask token>

<mask token>
label_df.to_csv(path_or_buf='train-path.txt', sep=' ', index=False, header=
    False)

<mask token>
df = pd.read_csv('plates/labels.info', sep='\n', names=['filepath'])
label_df = pd.DataFrame({'filepath': df['filepath'].iloc[::2].values,
    'platenum': df['filepath'].iloc[1::2].values})
filename = 'data-path.txt'
label_df.to_csv(path_or_buf='train-path.txt', sep=' ', index=False, header=
    False)

import os
import pandas as pd
import numpy as np
df = pd.read_csv('plates/labels.info', sep='\n', names=['filepath'])
label_df = pd.DataFrame({'filepath': df['filepath'].iloc[::2].values,
    'platenum': df['filepath'].iloc[1::2].values})
filename = 'data-path.txt'
label_df.to_csv(path_or_buf='train-path.txt', sep=' ', index=False, header=
    False)
