From exiftool we can find the artist name gives us a clue and how the flag is hidden.
`Artist : 2+(10*n) for all n>=10`

```python=
import cv2
import os

def extract_frames(video_path):
cap = cv2.VideoCapture(video_path)
if not cap.isOpened():
print("[!] Error: Could not open video file")
return

frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
print(f"[*] Total frames in video: {frame_count}")

saved_count = 0
frame_number = 0

while True:
ret, frame = cap.read()
if not ret:
break

# Check if this frame should be saved based on the formula: 2+(10*n) for n>=10
# Which means frames that are 2 more than multiples of 10, starting from frame 102
if frame_number >= 102 and (frame_number - 2) % 10 == 0:
output_filename = f'output_{saved_count+1:04d}.png'
cv2.imwrite(output_filename, frame)
print(f"[+] Saved frame {frame_number} as {output_filename}")
saved_count += 1

frame_number += 1

cap.release()
print(f"\n[*] Extraction complete. Saved {saved_count} frames.")

video_path = 'driving.mp4'
if not os.path.exists(video_path):
print(f"[!] Error: Video file '{video_path}' not found")
else:
extract_frames(video_path)
```

Now checking the corners of each frame clockwise gives us the flag.