open_illumination.py

import json
from urllib.request import urlopen
import huggingface_hub

import argparse

parser = argparse.ArgumentParser()
parser.add_argument("--local_dir", default="/home/linghao/Datasets/lightstage_dataset_download")
parser.add_argument("--light", required=True, choices=['lighting_patterns', 'OLAT'])
parser.add_argument("--obj_id", default=1, type=int)
parser.add_argument("--with_raw", default=False, action='store_true')

args = parser.parse_args()


def main():
    data_json = json.loads(urlopen("https://annonymous2023neuripsdataset.github.io/data.json").read())
    data_olat = json.loads(urlopen("https://annonymous2023neuripsdataset.github.io/data_olat.json").read())
    repo_id = "fsky097/OpenIllumination"
    data = data_json if args.light == 'lighting_patterns' else data_olat
    obj = data['obj_list'][args.obj_id - 1]

    allow_patterns = [f"*{args.light}/{obj['data_name']}/Lights/*/raw_undistorted/*",
                      f"*{args.light}/{obj['data_name']}/output/*"
                      ]
    if args.light != "lighting_patterns" and args.with_raw:
        allow_patterns.append(f"OLAT/{obj['data_name']}/RAW/*")
    huggingface_hub.snapshot_download(repo_id,
                                      repo_type="dataset",
                                      allow_patterns=allow_patterns,
                                      local_dir=args.local_dir)


if __name__ == '__main__':
    main()