Datasets:
File size: 2,180 Bytes
9a08eec | 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 72 73 74 75 76 77 78 79 | #!/usr/bin/env python3
"""Download the public Xperience-10M sample from ModelScope.
This is the preferred path for servers inside mainland China. It downloads
only model-training files by default and skips visualization.rrd.
"""
from __future__ import annotations
import argparse
import json
from pathlib import Path
DEFAULT_PATTERNS = [
"README.md",
"annotation.hdf5",
"fisheye_cam0.mp4",
]
ALL_TRAINING_PATTERNS = [
"README.md",
"annotation.hdf5",
"fisheye_cam0.mp4",
"fisheye_cam1.mp4",
"fisheye_cam2.mp4",
"fisheye_cam3.mp4",
"stereo_left.mp4",
"stereo_right.mp4",
]
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="Download Xperience-10M sample data from ModelScope.")
parser.add_argument("--repo-id", default="ropedia-ai/xperience-10m-sample")
parser.add_argument("--output-dir", type=Path, default=Path("data/sample/xperience-10m-sample"))
parser.add_argument(
"--mode",
choices=["minimal", "all-training", "all"],
default="minimal",
help="minimal downloads annotation + one video; all-training adds all MP4s; all also allows visualization.rrd.",
)
parser.add_argument("--max-workers", type=int, default=2)
return parser.parse_args()
def main() -> int:
args = parse_args()
from modelscope.hub.snapshot_download import snapshot_download
if args.mode == "minimal":
allow_patterns = DEFAULT_PATTERNS
elif args.mode == "all-training":
allow_patterns = ALL_TRAINING_PATTERNS
else:
allow_patterns = None
args.output_dir.mkdir(parents=True, exist_ok=True)
path = snapshot_download(
repo_id=args.repo_id,
repo_type="dataset",
local_dir=str(args.output_dir),
allow_patterns=allow_patterns,
max_workers=args.max_workers,
)
summary = {
"repo_id": args.repo_id,
"output_dir": str(args.output_dir),
"mode": args.mode,
"allow_patterns": allow_patterns,
"download_path": path,
}
print(json.dumps(summary, indent=2))
return 0
if __name__ == "__main__":
raise SystemExit(main())
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