Datasets:
Download eo_data/__main__.py from dsaaf/HLS-LST-CrossSensor: direct link, hf CLI and curl.
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- Download file 3.05 kB
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https://huggingface.co/datasets/dsaaf/HLS-LST-CrossSensor/resolve/main/eo_data/__main__.py
- Command line
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hf download hf://datasets/dsaaf/HLS-LST-CrossSensor/eo_data/__main__.py
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curl -L -o __main__.py https://huggingface.co/datasets/dsaaf/HLS-LST-CrossSensor/resolve/main/eo_data/__main__.py
3.05 kB
| import argparse | |
| import json | |
| from pathlib import Path | |
| from .core import dataset_name | |
| from .prepare import PROJECT, prepare_dataset | |
| def main(): | |
| parser=argparse.ArgumentParser(description='Unified EO data preparation and reading') | |
| sub=parser.add_subparsers(dest='command',required=True) | |
| p=sub.add_parser('prepare') | |
| p.add_argument('--dataset',default='all') | |
| p.add_argument('--root',type=Path,default=PROJECT) | |
| p.add_argument('--output',type=Path) | |
| p.add_argument('--workers',type=int,default=4) | |
| p.add_argument('--level',type=int,default=3) | |
| p.add_argument('--limit',type=int,help='Development subset only; rejected by the default training loader') | |
| v=sub.add_parser('verify') | |
| v.add_argument('--root',type=Path,default=PROJECT) | |
| v.add_argument('--output',type=Path) | |
| v.add_argument('--dataset',default='all') | |
| v.add_argument('--samples',type=int,default=16) | |
| v.add_argument('--allow-development',action='store_true') | |
| r=sub.add_parser('restore-prithvi') | |
| r.add_argument('--root',type=Path,default=PROJECT) | |
| r.add_argument('--prepared',type=Path) | |
| r.add_argument('--destination',type=Path,required=True) | |
| r.add_argument('--limit',type=int) | |
| a=sub.add_parser('archive-prithvi') | |
| a.add_argument('--root',type=Path,default=PROJECT) | |
| a.add_argument('--prepared',type=Path) | |
| a.add_argument('--destination',type=Path,required=True) | |
| a=sub.add_parser('attach-prithvi') | |
| a.add_argument('archive',type=Path) | |
| a.add_argument('--root',type=Path,default=PROJECT) | |
| a.add_argument('--prepared',type=Path) | |
| args=parser.parse_args() | |
| if args.command=='prepare': | |
| if args.workers<1 or args.workers>32:parser.error('workers must be 1..32') | |
| if args.limit is not None and args.limit<1:parser.error('limit must be positive') | |
| output=args.output or args.root/('processed_data/development' if args.limit else 'processed_data/v1') | |
| names=['prithvi','lstsr_tb'] if args.dataset=='all' else [dataset_name(args.dataset)] | |
| for name in names:prepare_dataset(args.root.resolve(),name,output.resolve(),args.workers,args.level,args.limit) | |
| elif args.command=='verify': | |
| from .verify import verify_all | |
| print(json.dumps(verify_all(args.root,args.output,args.dataset,args.samples,args.allow_development),indent=2)) | |
| elif args.command=='restore-prithvi': | |
| from .verify import restore_prithvi | |
| print(json.dumps(restore_prithvi(args.root,args.prepared,args.destination,args.limit),indent=2)) | |
| elif args.command=='archive-prithvi': | |
| from .archive import create_archive,attach_archive | |
| report=create_archive(args.root,args.destination,args.prepared) | |
| attach_archive(args.root,args.destination,args.prepared,report) | |
| print(json.dumps(report,indent=2)) | |
| else: | |
| from .archive import verify_archive,attach_archive | |
| report=verify_archive(args.archive) | |
| print(json.dumps(attach_archive(args.root,args.archive,args.prepared,report),indent=2)) | |
| if __name__=='__main__':main() | |