Download 4dcodebench/resim/unpack_world.py from AIGeeksGroup/PhysicalWM: direct link, hf CLI and curl.
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4.49 kB
| #!/usr/bin/env python | |
| """Unpack a 4DCodeBench synthetic world h5 into a plain directory + spec.json. | |
| Usage: | |
| python unpack_world.py <case.h5> <outdir> | |
| Output (our own simplified layout, plain numpy npz): | |
| <outdir>/camera.json verbatim from the h5 (intrinsics K 3x3 px, extrinsic E 4x4 cam-to-world) | |
| <outdir>/render.mp4 verbatim from the h5 (the reference render) | |
| <outdir>/mesh/<id>.npz vertices (F,V,3) f32, faces (F,T,3) i32, nverts/nfaces per frame | |
| <outdir>/dyn/<name>.npz pos (F,N,3) f32, ids (M,) u16, faces (T,3) i32 | |
| <outdir>/spec.json F, video specs, per-object summary, static/dynamic split | |
| """ | |
| import argparse | |
| import json | |
| from pathlib import Path | |
| import numpy as np | |
| import h5py | |
| import hdf5plugin # noqa: F401 (registers the Zstd filter) | |
| def read_series(group): | |
| """Per-frame series stored as (frames + stack) or (frames + flat + lengths).""" | |
| frames = group["frames"][()] | |
| if "stack" in group: | |
| parts = list(group["stack"][()]) | |
| else: | |
| flat = group["flat"][()] | |
| lengths = group["lengths"][()] | |
| edges = np.concatenate([[0], np.cumsum(lengths)]) | |
| parts = [flat[edges[i]:edges[i + 1]] for i in range(len(frames))] | |
| return frames, parts | |
| def probe_video(path): | |
| try: | |
| import cv2 | |
| cap = cv2.VideoCapture(str(path)) | |
| fps = cap.get(cv2.CAP_PROP_FPS) | |
| w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) | |
| h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) | |
| n = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) | |
| cap.release() | |
| if fps and fps > 0 and w > 0: | |
| return {"fps": round(float(fps), 6), "width": w, "height": h, "frames": n} | |
| except Exception: | |
| pass | |
| return None | |
| def main(): | |
| ap = argparse.ArgumentParser() | |
| ap.add_argument("h5") | |
| ap.add_argument("out") | |
| args = ap.parse_args() | |
| out = Path(args.out) | |
| (out / "mesh").mkdir(parents=True, exist_ok=True) | |
| (out / "dyn").mkdir(parents=True, exist_ok=True) | |
| spec = {"source": str(args.h5)} | |
| with h5py.File(args.h5, "r") as h: | |
| (out / "camera.json").write_bytes(bytes(h["camera.json"][()])) | |
| (out / "render.mp4").write_bytes(bytes(h["render.mp4"][()])) | |
| vid = probe_video(out / "render.mp4") or {"fps": 24.0, "width": 1280, "height": 720, "frames": None} | |
| spec["video"] = vid | |
| F = int(h[f"dynamics/{next(iter(h['dynamics']))}/pos"].shape[0]) if len(h["dynamics"]) \ | |
| else int(h[f"meshes/{next(iter(h['meshes']))}/vertices/frames"].shape[0]) | |
| spec["F"] = F | |
| dyn = {} | |
| for name in h["dynamics"]: | |
| g = h[f"dynamics/{name}"] | |
| np.savez_compressed(out / "dyn" / f"{name}.npz", | |
| pos=g["pos"][()].astype(np.float32), | |
| ids=g["ids"][()].astype(np.uint16), | |
| faces=g["faces"][()].astype(np.int32)) | |
| dyn[name] = {"ids": [int(i) for i in g["ids"][()]], "N": int(g["pos"].shape[1])} | |
| spec["dynamics"] = dyn | |
| dyn_ids = {i for v in dyn.values() for i in v["ids"]} | |
| meshes = {} | |
| for mid in h["meshes"]: | |
| vf, vp = read_series(h[f"meshes/{mid}/vertices"]) | |
| ff, fp = read_series(h[f"meshes/{mid}/faces"]) | |
| V = max(len(p) for p in vp) | |
| T = max(len(p) for p in fp) | |
| vert = np.zeros((len(vp), V, 3), np.float32) | |
| face = np.zeros((len(fp), T, 3), np.int32) | |
| for i, (pv, pf) in enumerate(zip(vp, fp)): | |
| vert[i, :len(pv)] = pv | |
| face[i, :len(pf)] = pf | |
| np.savez_compressed(out / "mesh" / f"{int(mid)}.npz", vertices=vert, faces=face, | |
| frames=np.asarray(vf, np.int32), | |
| nverts=np.array([len(p) for p in vp], np.int32), | |
| nfaces=np.array([len(p) for p in fp], np.int32)) | |
| meshes[int(mid)] = {"nverts": int(len(vp[0])), "nfaces": int(len(fp[0])), | |
| "static": int(mid) not in dyn_ids} | |
| spec["meshes"] = {str(k): v for k, v in sorted(meshes.items())} | |
| cam = json.loads((out / "camera.json").read_text()) | |
| K = np.array(cam["intrinsics"], float) | |
| spec["camera"] = {"K": K.tolist(), "E": np.array(cam["extrinsic"], float).tolist()} | |
| (out / "spec.json").write_text(json.dumps(spec, indent=1)) | |
| print(f"unpacked to {out} | F={spec['F']} | video={vid}") | |
| if __name__ == "__main__": | |
| main() | |