Datasets:
Tasks:
Other
Languages:
English
Size Categories:
100K<n<1M
Annotations Creators:
expert-generated
DOI:
License:
| 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://oppo-us-research.github.io/OpenIllumination/data.json").read()) | |
| data_olat = json.loads(urlopen("https://oppo-us-research.github.io/OpenIllumination/data_olat.json").read()) | |
| repo_id = "OpenIllumination/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() | |