FallKLTN / scripts /download_urfd.py
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Upload fall detection code, trained models, and repeated experiments
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#!/usr/bin/env python3
from __future__ import annotations
import argparse
from pathlib import Path
from urllib.request import urlretrieve
from tqdm import tqdm
BASE_URL = "https://fenix.ur.edu.pl/~mkepski/ds/data"
def download(url: str, destination: Path) -> None:
destination.parent.mkdir(parents=True, exist_ok=True)
if destination.exists() and destination.stat().st_size > 0:
return
temporary = destination.with_suffix(destination.suffix + ".part")
urlretrieve(url, temporary)
temporary.replace(destination)
def main() -> None:
parser = argparse.ArgumentParser(description="Download official URFD RGB videos")
parser.add_argument("--output", type=Path, default=Path("data/videos"))
args = parser.parse_args()
items: list[tuple[str, Path]] = []
for index in range(1, 31):
name = f"fall-{index:02d}-cam0.mp4"
items.append((f"{BASE_URL}/{name}", args.output / "fall" / f"fall-{index:02d}" / name))
for index in range(1, 41):
name = f"adl-{index:02d}-cam0.mp4"
items.append((f"{BASE_URL}/{name}", args.output / "normal" / f"adl-{index:02d}" / name))
items.extend(
[
(
f"{BASE_URL}/urfall-cam0-falls.csv",
args.output / "annotations" / "urfall-cam0-falls.csv",
),
(
f"{BASE_URL}/urfall-cam0-adls.csv",
args.output / "annotations" / "urfall-cam0-adls.csv",
),
]
)
for url, destination in tqdm(items, desc="Downloading URFD"):
download(url, destination)
print(f"Downloaded/verified {len(items)} files in {args.output}")
print("License: CC BY-NC-SA 4.0, academic non-commercial use.")
if __name__ == "__main__":
main()