Datasets:
File size: 3,046 Bytes
4878bd3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | 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()
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