File size: 2,322 Bytes
c7df94c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | """Download helper for the React dataset — depth is optional.
Examples
--------
# Core only (RGB + tactile + poses), no depth (~4.4 GB)
python examples/download.py --no-depth
# Everything including depth (~37 GB)
python examples/download.py
# One task, no depth
python examples/download.py --task motherboard --no-depth
# Depth too, only the middle camera depth
python examples/download.py --depth-cams middle
# Choose where to put it
python examples/download.py --no-depth --local-dir ./react
"""
from __future__ import annotations
import argparse
from huggingface_hub import snapshot_download
REPO = "yxma/React"
def main():
ap = argparse.ArgumentParser(description=__doc__.split("\n")[0])
ap.add_argument("--task", default=None,
help="Limit to one task (e.g. motherboard, pushT). Default: all.")
ap.add_argument("--no-depth", action="store_true",
help="Skip the ~33 GB depth tree (RGB + tactile + poses only).")
ap.add_argument("--depth-cams", nargs="*", default=None,
choices=["left", "middle", "right"],
help="If downloading depth, restrict to these cameras "
"(e.g. --depth-cams middle). Default: all 3.")
ap.add_argument("--local-dir", default=None,
help="Target directory (default: HF cache).")
args = ap.parse_args()
allow = None
ignore = []
if args.task:
allow = [f"data/{args.task}/*", "README.md", "tasks.json", "examples/*"]
if args.no_depth:
ignore.append("*/depth/*")
elif args.depth_cams:
# keep only requested depth cams: ignore the others
for cam in ("left", "middle", "right"):
if cam not in args.depth_cams:
ignore.append(f"*/depth/*/depth_{cam}.mkv")
print(f"Downloading {REPO}"
f"{' task='+args.task if args.task else ''}"
f"{' (no depth)' if args.no_depth else ''}"
f"{' depth_cams='+','.join(args.depth_cams) if args.depth_cams else ''} ...")
path = snapshot_download(
REPO, repo_type="dataset",
allow_patterns=allow, ignore_patterns=ignore or None,
local_dir=args.local_dir,
)
print(f"Done -> {path}")
if __name__ == "__main__":
main()
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