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| """Frame extraction and video writing utilities.""" | |
| import cv2 | |
| import numpy as np | |
| from typing import List | |
| __all__ = [ | |
| "extract_frames_from_video", | |
| "save_frames_to_video", | |
| ] | |
| def extract_frames_from_video(video_path: str, target_fps: int = 30) -> List[np.ndarray]: | |
| cap = cv2.VideoCapture(video_path) | |
| if not cap.isOpened(): | |
| raise IOError(f"Cannot open video: {video_path}") | |
| original_fps = cap.get(cv2.CAP_PROP_FPS) or target_fps | |
| frame_interval = max(1, round(original_fps / target_fps)) | |
| frames, count = [], 0 | |
| while True: | |
| ret, frame = cap.read() | |
| if not ret: | |
| break | |
| if count % frame_interval == 0: | |
| frames.append(frame) | |
| count += 1 | |
| cap.release() | |
| return frames | |
| def save_frames_to_video(frames: List[np.ndarray], output_path: str, fps: int = 30): | |
| if not frames: | |
| raise ValueError("No frames to save") | |
| height, width = frames[0].shape[:2] | |
| fourcc = cv2.VideoWriter_fourcc(*"mp4v") | |
| writer = cv2.VideoWriter(output_path, fourcc, fps, (width, height)) | |
| for frm in frames: | |
| writer.write(frm) | |
| writer.release() |