|
_base_ = [ |
|
'../_base_/models/segformer_mit-b0.py', '../_base_/datasets/ade20k.py', |
|
'../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' |
|
] |
|
crop_size = (512, 512) |
|
data_preprocessor = dict(size=crop_size) |
|
checkpoint = 'https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/segformer/mit_b0_20220624-7e0fe6dd.pth' |
|
model = dict( |
|
data_preprocessor=data_preprocessor, |
|
backbone=dict(init_cfg=dict(type='Pretrained', checkpoint=checkpoint)), |
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decode_head=dict(num_classes=150)) |
|
|
|
optim_wrapper = dict( |
|
_delete_=True, |
|
type='OptimWrapper', |
|
optimizer=dict( |
|
type='AdamW', lr=0.00006, betas=(0.9, 0.999), weight_decay=0.01), |
|
paramwise_cfg=dict( |
|
custom_keys={ |
|
'pos_block': dict(decay_mult=0.), |
|
'norm': dict(decay_mult=0.), |
|
'head': dict(lr_mult=10.) |
|
})) |
|
|
|
param_scheduler = [ |
|
dict( |
|
type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1500), |
|
dict( |
|
type='PolyLR', |
|
eta_min=0.0, |
|
power=1.0, |
|
begin=1500, |
|
end=160000, |
|
by_epoch=False, |
|
) |
|
] |
|
train_dataloader = dict(batch_size=2, num_workers=2) |
|
val_dataloader = dict(batch_size=1, num_workers=4) |
|
test_dataloader = val_dataloader |
|
|
