File size: 1,746 Bytes
fda3158 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | import pandas as pd
from pathlib import Path
# Configuration parameters used in generation
CONFIG = {
'noise_density': 0.5,
'speckle_size': 1,
'speed': 2,
'direction': 'horizontal',
'fps': 60,
'resolution': '960x540'
}
# Read motion_only metadata
motion_df = pd.read_csv('train/motion_only/metadata.csv')
motion_df['file_name'] = 'motion_only/' + motion_df['filename']
motion_df['category'] = 'motion_only'
# Read text_fg_bg metadata
text_df = pd.read_csv('train/text_fg_bg/metadata.csv')
text_df['file_name'] = 'text_fg_bg/' + text_df['filename']
text_df['category'] = 'text_fg_bg'
# Combine
combined_df = pd.concat([motion_df, text_df], ignore_index=True)
# Add configuration columns
combined_df['noise_density'] = CONFIG['noise_density']
combined_df['speckle_size'] = CONFIG['speckle_size']
combined_df['speed'] = CONFIG['speed']
combined_df['direction'] = CONFIG['direction']
combined_df['fps'] = CONFIG['fps']
combined_df['resolution'] = CONFIG['resolution']
# Reorder columns
column_order = [
'file_name',
'category',
'label',
'text',
'duration',
'num_frames',
'noise_density',
'speckle_size',
'speed',
'direction',
'fps',
'resolution'
]
# Only keep columns that exist
column_order = [col for col in column_order if col in combined_df.columns]
combined_df = combined_df[column_order]
# Save combined metadata
combined_df.to_csv('train/metadata.csv', index=False)
print(f"✓ Combined metadata saved to train/metadata.csv")
print(f" Total samples: {len(combined_df)}")
print(f" Motion-only: {len(motion_df)}")
print(f" Text videos: {len(text_df)}")
print(f"\nColumns: {', '.join(combined_df.columns)}")
print(f"\nFirst few rows:")
print(combined_df.head())
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