save_decof_frames.py

"""Save the exact 8 frames DeCoF uses for key Veo videos for visual inspection."""
import os
import sys
import cv2
import numpy as np
from pathlib import Path

project_root = Path(__file__).parent
sys.path.insert(0, str(project_root))
sys.path.insert(0, str(project_root / 'sdk'))

import importlib.util
spec = importlib.util.spec_from_file_location(
    'decof_detector', project_root / 'models' / 'video' / 'DeCoF' / 'detector.py'
)
module = importlib.util.module_from_spec(spec)
sys.modules['decof_detector'] = module
spec.loader.exec_module(module)

# Videos to inspect: sunflower (FAKE), jellyfish, northern_lights, cowboy
videos = {
    'sunflower': 'D:/veo/veo/veo_example_041_sunflower.mp4',
    'jellyfish': 'D:/veo/veo/veo_example_014_jellyfish.mp4',
    'northern_lights': 'D:/veo/veo/veo_example_006_northern_lights.mp4',
    'cowboy': 'D:/veo/veo/veo_cowboy_sun_1.mp4',
}

out_dir = project_root / 'decof_frames'
out_dir.mkdir(exist_ok=True)

detector = module.DeCoFDetector()

print("=" * 70)
print("Saving DeCoF frames for visual inspection")
print("=" * 70)

for name, path in videos.items():
    print(f"\n[{name}] {os.path.basename(path)}")
    frames = detector._extract_decof_frames(path)
    print(f"  Extracted {len(frames)} frames")
    
    # Save each frame
    for i, frame in enumerate(frames):
        # frame is RGB numpy array
        bgr = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
        fname = f"{name}_frame{i:02d}.jpg"
        fpath = out_dir / fname
        cv2.imwrite(str(fpath), bgr)
    
    print(f"  Saved {len(frames)} frames to {out_dir}")

print(f"\nAll frames saved to: {out_dir}")
print("\nFrame indices (DeCoF protocol): 0, 4, 8, 13, 17, 22, 26, 31")