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__init__.py
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__init__.py
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from torch.utils.data import DataLoader
def create_dataloaders(args):
"""create dataloader"""
if args.dataset == 'AID':
from data.aid import AIDataset
training_set = AIDataset(args, root_dir='G:\datasets\yaogan\dataset\AID-dataset/train',
train=True)
val_set = AIDataset(args, root_dir='G:\datasets\yaogan\dataset\AID-dataset/val',
train=False)
test_set = AIDataset(args, root_dir='G:\datasets\yaogan\dataset/AID-dataset/val',
train=False)
elif args.dataset == 'UCMerced':
from data.ucmerced import UCMercedDataset
training_set = UCMercedDataset(args, root_dir='G:\datasets\yaogan\dataset/UCMerced-dataset/train',
train=True)
val_set = UCMercedDataset(args, root_dir='G:\datasets\yaogan\dataset/UCMerced-dataset/val',
train=False)
test_set = UCMercedDataset(args, root_dir='G:\datasets\yaogan\dataset/UCMerced-dataset/val',
train=False)
elif args.dataset == 'RSCNN7':
from data.rscnn7 import RSCNN7Dataset
training_set = RSCNN7Dataset(args, root_dir='G:\datasets\yaogan\dataset\RSSCN7/train',
train=True)
val_set = RSCNN7Dataset(args, root_dir='G:\datasets\yaogan\dataset\RSSCN7/val',
train=False)
test_set = RSCNN7Dataset(args, root_dir='G:\datasets\yaogan\dataset\RSSCN7/val',
train=False)
elif args.dataset == 'DIV2K':
from data.div2k import DIV2KDataset
training_set = DIV2KDataset(args, root_dir='G:\datasets\yaogan\dataset\DIV2K/train',
train=True)
val_set = DIV2KDataset(args, root_dir='G:\datasets\yaogan\dataset\DIV2K/val',
train=False)
test_set = DIV2KDataset(args, root_dir='G:\datasets\yaogan\dataset/test\Set14',
train=False)
else:
raise NotImplementedError(
'Wrong dataset name %s ' % args.dataset)
dataloaders = {'train': DataLoader(training_set, batch_size=args.batch_size,
shuffle=True, num_workers=0), # args.n_threads
'val': DataLoader(val_set, batch_size=args.batch_size,
shuffle=False, num_workers=0),
'test': DataLoader(test_set, batch_size=1,
shuffle=False, num_workers=0),
} # args.n_threads
return dataloaders