| """Rebuild the NeRF-Synthetic and captured objects of the task set from their public sources. |
| |
| uv run python scripts/prepare_datasets.py # all nine |
| uv run python scripts/prepare_datasets.py --names nerf_lego # one object |
| |
| Sources: NeRF-Synthetic (lego, chair, hotdog, ficus, mic, drums) from a Hugging Face mirror, Tanks and Temples |
| (Ignatius, Caterpillar) from the NSVF release, BlendedMVS (jade) from a Hugging Face mirror. Downloads go to |
| data/raw/. Each object is normalized to +Z up inside [-0.9, 0.9]^3 with 8 reference and 8 held-out views at 256 px. |
| """ |
| import argparse |
| import sys |
| import traceback |
|
|
| from splatbench.datasets import load_bmvs, load_nerf_synthetic, load_nsvf_tt |
| from splatbench.prep import prepare_scene |
|
|
| LOADERS = { |
| "nerf_lego": lambda: load_nerf_synthetic("lego"), |
| "nerf_chair": lambda: load_nerf_synthetic("chair"), |
| "nerf_hotdog": lambda: load_nerf_synthetic("hotdog"), |
| "nerf_ficus": lambda: load_nerf_synthetic("ficus"), |
| "nerf_mic": lambda: load_nerf_synthetic("mic"), |
| "nerf_drums": lambda: load_nerf_synthetic("drums"), |
| "tt_ignatius": lambda: load_nsvf_tt("Ignatius"), |
| "tt_caterpillar": lambda: load_nsvf_tt("Caterpillar", select="mask"), |
| "bmvs_jade": lambda: load_bmvs("jade"), |
| } |
|
|
| ap = argparse.ArgumentParser() |
| ap.add_argument("--out", default="data/bench") |
| ap.add_argument("--names", nargs="*", default=list(LOADERS)) |
| ap.add_argument("--iters", type=int, default=2000) |
| ap.add_argument("--device", default="cuda") |
| a = ap.parse_args() |
|
|
| failed = [] |
| for name in a.names: |
| try: |
| sc = LOADERS[name]() |
| assert sc.name == name, (sc.name, name) |
| prepare_scene(sc, a.out, iters=a.iters, device=a.device, log=lambda s: print(s, flush=True)) |
| except Exception as e: |
| failed.append(name) |
| print(f"[{name}] FAILED: {type(e).__name__}: {e}", flush=True) |
| traceback.print_exc() |
| print("done; failed:", failed, file=sys.stderr) |
|
|
