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# dataset settings
dataset_type = 'LEVIRCDDataset'
data_root = r'data/LEVIRCD'
albu_train_transforms = [
dict(type='RandomBrightnessContrast', p=0.2),
dict(type='HorizontalFlip', p=0.5),
dict(type='VerticalFlip', p=0.5)
]
train_pipeline = [
dict(type='LoadMultipleRSImageFromFile'),
dict(type='LoadAnnotations'),
dict(type='Albu', transforms=albu_train_transforms),
dict(type='ConcatCDInput'),
dict(type='PackSegInputs')
]
test_pipeline = [
dict(type='LoadMultipleRSImageFromFile'),
dict(type='LoadAnnotations'),
dict(type='ConcatCDInput'),
dict(type='PackSegInputs')
]
tta_pipeline = [
dict(type='LoadMultipleRSImageFromFile'),
dict(
type='TestTimeAug',
transforms=[[dict(type='LoadAnnotations')],
[dict(type='ConcatCDInput')],
[dict(type='PackSegInputs')]])
]
train_dataloader = dict(
batch_size=4,
num_workers=4,
persistent_workers=True,
sampler=dict(type='InfiniteSampler', shuffle=True),
dataset=dict(
type=dataset_type,
data_root=data_root,
data_prefix=dict(
img_path='train/A',
img_path2='train/B',
seg_map_path='train/label'),
pipeline=train_pipeline))
val_dataloader = dict(
batch_size=1,
num_workers=4,
persistent_workers=True,
sampler=dict(type='DefaultSampler', shuffle=False),
dataset=dict(
type=dataset_type,
data_root=data_root,
data_prefix=dict(
img_path='test/A', img_path2='test/B', seg_map_path='test/label'),
pipeline=test_pipeline))
test_dataloader = val_dataloader
val_evaluator = dict(type='IoUMetric', iou_metrics=['mIoU'])
test_evaluator = val_evaluator
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