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_base_ = [
'../_base_/models/bisenetv1_r18-d32.py',
'../_base_/datasets/cityscapes_1024x1024.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py'
]
norm_cfg = dict(type='SyncBN', requires_grad=True)
crop_size = (1024, 1024)
data_preprocessor = dict(size=crop_size)
model = dict(
type='EncoderDecoder',
data_preprocessor=data_preprocessor,
backbone=dict(
type='BiSeNetV1',
context_channels=(512, 1024, 2048),
spatial_channels=(256, 256, 256, 512),
out_channels=1024,
backbone_cfg=dict(type='ResNet', depth=50)),
decode_head=dict(
type='FCNHead', in_channels=1024, in_index=0, channels=1024),
auxiliary_head=[
dict(
type='FCNHead',
in_channels=512,
channels=256,
num_convs=1,
num_classes=19,
in_index=1,
norm_cfg=norm_cfg,
concat_input=False),
dict(
type='FCNHead',
in_channels=512,
channels=256,
num_convs=1,
num_classes=19,
in_index=2,
norm_cfg=norm_cfg,
concat_input=False),
])
param_scheduler = [
dict(type='LinearLR', by_epoch=False, start_factor=0.1, begin=0, end=1000),
dict(
type='PolyLR',
eta_min=1e-4,
power=0.9,
begin=1000,
end=160000,
by_epoch=False,
)
]
optimizer = dict(type='SGD', lr=0.05, momentum=0.9, weight_decay=0.0005)
optim_wrapper = dict(type='OptimWrapper', optimizer=optimizer)
train_dataloader = dict(batch_size=4, num_workers=4)
val_dataloader = dict(batch_size=1, num_workers=4)
test_dataloader = val_dataloader
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