#!/usr/bin/env python3 """Extract representative frames from MP4 demonstrations for manual inspection.""" import argparse import json import os from pathlib import Path from typing import List, Optional import mediapy as media import numpy as np def parse_fractions(fractions): values = [] for f in fractions: value = float(f) if not 0.0 <= value <= 1.0: raise ValueError(f"Fraction {value} must be in [0, 1].") values.append(value) return values def extract_frames(video_path: Path, fractions, output_dir: Path, video_root: Optional[Path]): frames = media.read_video(video_path) if len(frames) == 0: print(f"[WARN] {video_path}: empty video") return 0 frame_indices = sorted(set(int(round(frac * (len(frames) - 1))) for frac in fractions)) base = video_path.stem if video_root is not None: try: rel_dir = video_path.parent.relative_to(video_root) except ValueError: rel_dir = Path() else: rel_dir = Path() save_dir = output_dir / rel_dir / base save_dir.mkdir(parents=True, exist_ok=True) saved = 0 for idx in frame_indices: frame = frames[idx] out_path = save_dir / f"frame_{idx:04d}.png" media.write_image(out_path, frame) saved += 1 return saved def iter_videos_from_preview(preview_path: Path) -> List[Path]: videos: List[Path] = [] with preview_path.open("r", encoding="utf-8") as fh: for line in fh: if not line.strip(): continue record = json.loads(line) if record.get("instruction") is not None: continue h5_path = Path(record["path"]) video_name = h5_path.name.replace("data_", "demo_").replace(".hdf5", ".mp4") video_path = h5_path.with_name(video_name) videos.append(video_path) return videos def main(): parser = argparse.ArgumentParser(description="Sample frames from MP4 videos.") parser.add_argument("--video-dir", help="Directory containing demo_*.mp4 files.") parser.add_argument( "--pattern", default="demo_*.mp4", help="Glob relative to --video-dir for selecting videos (default: demo_*.mp4).", ) parser.add_argument( "--frames", nargs="+", default=["0.1", "0.5", "0.9"], help="Normalized positions (0-1) from which to sample frames.", ) parser.add_argument("--output", required=True, help="Directory to store extracted frame images.") parser.add_argument("--max-videos", type=int, help="Optional cap on number of videos to process.") parser.add_argument( "--preview-json", type=Path, help="JSONL preview file (from update_instructions script). Only videos with null instruction will be processed.", ) parser.add_argument( "--dataset-root", help="Root directory containing the dataset (used to preserve relative structure when --preview-json is set).", ) args = parser.parse_args() output_dir = Path(args.output).expanduser().resolve() output_dir.mkdir(parents=True, exist_ok=True) fractions = parse_fractions(args.frames) videos: List[Path] video_root: Optional[Path] if args.preview_json: preview_path = Path(args.preview_json).expanduser().resolve() videos = iter_videos_from_preview(preview_path) if args.dataset_root: video_root = Path(args.dataset_root).expanduser().resolve() else: # try to guess common ancestor parents = {vp.parent for vp in videos} parent_paths = [str(p) for p in parents] video_root = Path(os.path.commonpath(parent_paths)) if parent_paths else None else: if not args.video_dir: raise ValueError("--video-dir is required when --preview-json is not provided.") video_root = Path(args.video_dir).expanduser().resolve() videos = sorted(video_root.glob(args.pattern)) if args.max_videos is not None: videos = videos[: args.max_videos] print(f"Found {len(videos)} videos to process.") total_frames = 0 for vp in videos: if not vp.exists(): print(f"[WARN] Missing video {vp}") continue total_frames += extract_frames(vp, fractions, output_dir, video_root) print(f"Saved {total_frames} frames into {output_dir}.") if __name__ == "__main__": main()