"""Batch strand -> surface over every frame of a dataset version. Runs ``run_strand2surface.generate_strand_surface`` on each ``.npz`` in a version folder and writes ``output//.obj``, using N parallel worker processes. Usage: python run_batch_strand2surface.py --dataset v0 --config conf_strand2surface.toml --parallel 6 python run_batch_strand2surface.py --dataset 3 --config conf_strand2surface.toml --parallel 4 --overwrite python run_batch_strand2surface.py --dataset 0 --config conf_strand2surface.toml --parallel 2 --limit 20 * ``--dataset`` accepts ``v0`` or ``0``. * Frames are read from ``/v{n}/`` (dataset_root = the parent of this project folder); output goes to ``output/v{n}/.obj``. * Existing ``.obj`` files are skipped unless ``--overwrite`` (so the batch is resumable). * Each frame uses the GPU SDF path when ``[strand_surface].gpu = true``, with automatic CPU fallback -- GPU-memory contention degrades to CPU, it never fails the frame. """ from __future__ import annotations import argparse import contextlib import io import re import time from concurrent.futures import ProcessPoolExecutor, as_completed from pathlib import Path import toml try: from tqdm import tqdm except ImportError: # progress bar is optional tqdm = None def _frame_key(p: Path): m = re.search(r"(\d+)", p.stem) return (0, int(m.group(1))) if m else (1, 0) def _normalize_version(raw: str) -> str: """'v0' / '0' / 'V3' -> 'v0' / 'v0' / 'v3'. Raises ValueError on garbage.""" s = str(raw).strip().lower() if s.startswith("v"): s = s[1:] return f"v{int(s)}" def process_frame(task): """Worker: one npz -> one obj. Returns a picklable result tuple. Stdout/stderr of the (chatty) surface pipeline are captured so the parent process can print one clean line per frame; on failure the tail is returned. """ npz_path, obj_path, kwargs, do_resample, target_edge = task import run_strand2surface as R t0 = time.time() buf = io.StringIO() try: with contextlib.redirect_stdout(buf), contextlib.redirect_stderr(buf): strands = R.load_strands(npz_path) if do_resample: strands = [ R.resample_strand_by_arc(s, target_edge) for s in strands ] mesh = R.generate_strand_surface(strands, **kwargs) R.save_mesh_obj(mesh, obj_path) n_faces = len(mesh.triangles) return (npz_path, obj_path, True, n_faces, time.time() - t0, "") except Exception as exc: # noqa: BLE001 - report, never kill the batch return (npz_path, obj_path, False, 0, time.time() - t0, f"{exc!r}\n{buf.getvalue()[-400:]}") def main() -> int: ap = argparse.ArgumentParser( description="Batch strand -> surface over a dataset version.", ) ap.add_argument("--dataset", required=True, help="dataset/version: 'v0' or '0'") ap.add_argument("--config", required=True, help="config .toml") ap.add_argument("--parallel", type=int, default=1, help="number of worker processes (default 1)") ap.add_argument("--overwrite", action="store_true", help="re-generate frames whose .obj already exists") ap.add_argument("--limit", type=int, default=0, help="process only the first N frames (0 = all)") args = ap.parse_args() script_dir = Path(__file__).resolve().parent dataset_root = script_dir.parent try: version = _normalize_version(args.dataset) except ValueError: print(f"Invalid --dataset {args.dataset!r}; use e.g. 'v0' or '0'.") return 2 cfg_path = Path(args.config) if not cfg_path.is_absolute(): cfg_path = script_dir / cfg_path cfg = toml.load(cfg_path) surf_cfg = cfg.get("strand_surface", {}) output_cfg = cfg.get("output", {}) in_dir = dataset_root / version if not in_dir.is_dir(): print(f"Dataset folder not found: {in_dir}") return 2 frames = sorted(in_dir.glob("*.npz"), key=_frame_key) if args.limit > 0: frames = frames[:args.limit] if not frames: print(f"No .npz frames in {in_dir}") return 1 out_base = Path(output_cfg.get("base_path", "output")) if not out_base.is_absolute(): out_base = script_dir / out_base out_dir = out_base / version out_dir.mkdir(parents=True, exist_ok=True) import run_strand2surface as R kwargs = R.build_surface_kwargs(surf_cfg) do_resample = bool(surf_cfg.get("resample", False)) target_edge = float( surf_cfg.get("target_edge_length", kwargs["radius"] * 0.5) ) tasks, skipped = [], 0 for f in frames: obj = out_dir / f"{f.stem}.obj" if not args.overwrite and obj.exists(): skipped += 1 continue tasks.append((str(f), str(obj), kwargs, do_resample, target_edge)) workers = max(1, args.parallel) print(f"Dataset {version}: {len(frames)} frame(s) in {in_dir}") print(f" output -> {out_dir}") print(f" gpu={kwargs['use_gpu']} parallel={workers} " f"radius={kwargs['radius']} remesh={kwargs['remesh']}") print(f" to process: {len(tasks)} skipped existing: {skipped}") if not tasks: print("Nothing to do.") return 0 if kwargs["use_gpu"] and workers > 5: print(f" NOTE: gpu=true with {workers} workers may exhaust GPU memory " f"at fine radius; OOM frames fall back to CPU automatically.") t_total = time.time() ok = fail = 0 failures: list[tuple[str, str]] = [] n = len(tasks) bar = tqdm(total=n, unit="frame", dynamic_ncols=True, desc=version) \ if tqdm is not None else None with ProcessPoolExecutor(max_workers=workers) as ex: futs = [ex.submit(process_frame, t) for t in tasks] for i, fut in enumerate(as_completed(futs), 1): npz, obj, success, n_faces, elapsed, msg = fut.result() name = Path(npz).name if success: ok += 1 line = (f"[{i}/{n}] ok {name} -> {Path(obj).name} " f"{n_faces:,} faces {elapsed:.1f}s") else: fail += 1 failures.append((name, msg)) line = (f"[{i}/{n}] FAIL {name}: " f"{msg.splitlines()[0] if msg else '?'}") if bar is not None: bar.update(1) bar.set_postfix(ok=ok, fail=fail, last=f"{name} {elapsed:.0f}s", refresh=False) if not success: bar.write(line) # keep failures visible above the bar else: print(line) if bar is not None: bar.close() dt = time.time() - t_total print(f"\nDone: {ok} ok, {fail} failed in {dt:.1f}s " f"(wall {dt / n:.1f}s/frame across {workers} workers)") if failures: print("Failures:") for name, msg in failures[:10]: print(f" {name}: {msg.splitlines()[0] if msg else '?'}") return 0 if fail == 0 else 1 if __name__ == "__main__": raise SystemExit(main())