| import pandas as pd |
| from pathlib import Path |
|
|
| |
| CONFIG = { |
| 'noise_density': 0.5, |
| 'speckle_size': 1, |
| 'speed': 2, |
| 'direction': 'horizontal', |
| 'fps': 60, |
| 'resolution': '960x540' |
| } |
|
|
| |
| motion_df = pd.read_csv('train/motion_only/metadata.csv') |
| motion_df['file_name'] = 'motion_only/' + motion_df['filename'] |
| motion_df['category'] = 'motion_only' |
|
|
| |
| 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' |
|
|
| |
| combined_df = pd.concat([motion_df, text_df], ignore_index=True) |
|
|
| |
| 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'] |
|
|
| |
| column_order = [ |
| 'file_name', |
| 'category', |
| 'label', |
| 'text', |
| 'duration', |
| 'num_frames', |
| 'noise_density', |
| 'speckle_size', |
| 'speed', |
| 'direction', |
| 'fps', |
| 'resolution' |
| ] |
|
|
| |
| column_order = [col for col in column_order if col in combined_df.columns] |
| combined_df = combined_df[column_order] |
|
|
| |
| 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()) |
|
|
