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import argparse
import requests
from pathlib import Path
classlist = ["Blends", "Ceramic", "Concrete", "Fabric", "Leather", "Marble", "Metal", "Misc", "Plaster", "Plastic", "Stone", "Terracotta", "Wood"]
def download_stream(url, dest_file):
with requests.get(url, stream=True) as r:
r.raise_for_status()
with open(dest_file, "wb") as f:
for chunk in r.iter_content(chunk_size=8192):
f.write(chunk)
def download_dataset(base_dir, class_names=None):
dset_url = "https://huggingface.co/datasets/gvecchio/MatSynth/resolve/main/maps"
classes = class_names.split(",") if class_names else classlist
if classes:
for split in ["train", "test"]:
dest_dir = base_dir/split
dest_dir.mkdir(parents=True, exist_ok=True)
for class_name in classes:
req = f"{dset_url}/{split}/{class_name}.zip"
download_stream(req, dest_dir/(class_name + ".zip"))
if class_name in ["Ground", "Wood"] and split == "train":
req = f"{dset_url}/{split}/{class_name}.z01"
download_stream(req, dest_dir/(class_name + ".z01"))
if __name__ == "__main__":
# Create argument parser
parser = argparse.ArgumentParser(description="Download dataset categories.")
parser.add_argument("--base_dir", required=True, help="Base directory to save the downloaded files.")
parser.add_argument("--class_names", help="Specify the class name to download a specific category.")
args = parser.parse_args()
# Call the download_dataset function with command-line arguments
download_dataset(Path(args.base_dir), args.class_names)
# python script.py --base_dir /path/to/save --class_name Leather |