#!/usr/bin/env python3 """Locate and optionally load one synchronized Real4D frame.""" from __future__ import annotations import argparse import json from pathlib import Path def frame_paths(root: Path, subset: str, scene: str, trajectory: str, index: int): if not 0 <= index < 300: raise ValueError("frame index must be in [0, 299]") scene_dir = root / subset / scene number = index + 1 stem = f"{trajectory}_{number:06d}" rgb = scene_dir / "images" / trajectory / f"{stem}.jpg" depth = scene_dir / "depths" / trajectory / f"{stem}.jpg.geometric.png" camera_json = scene_dir / "camera_params" / f"{trajectory}.json" with camera_json.open("r", encoding="utf-8") as handle: camera = json.load(handle)[index] return rgb, depth, camera def main() -> None: parser = argparse.ArgumentParser(description=__doc__) parser.add_argument("root", type=Path, help="Real4D dataset root") parser.add_argument("subset", choices=("dynerf", "meetroom")) parser.add_argument("scene") parser.add_argument("trajectory", help="for example cam00_01") parser.add_argument("index", type=int, help="zero-based frame index [0, 299]") parser.add_argument( "--inspect-depth", action="store_true", help="print depth range; requires Pillow and NumPy", ) args = parser.parse_args() rgb, depth, camera = frame_paths( args.root.resolve(), args.subset, args.scene, args.trajectory, args.index ) for path in (rgb, depth): if not path.is_file(): raise FileNotFoundError(path) print(f"RGB: {rgb}") print(f"Depth: {depth}") print("Camera:") print(json.dumps(camera, indent=2)) if args.inspect_depth: import numpy as np from PIL import Image depth_mm = np.asarray(Image.open(depth), dtype=np.uint16) valid = depth_mm > 0 if valid.any(): values_m = depth_mm[valid].astype(np.float32) / 1000.0 print( f"Valid depth: {valid.mean():.2%}; " f"range: [{values_m.min():.3f}, {values_m.max():.3f}] m" ) else: print("Valid depth: 0%") if __name__ == "__main__": main()