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_base_ = [ |
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'../_base_/models/setr_naive.py', |
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'../_base_/datasets/cityscapes_768x768.py', '../_base_/default_runtime.py', |
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'../_base_/schedules/schedule_80k.py' |
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] |
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crop_size = (768, 768) |
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data_preprocessor = dict(size=crop_size) |
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model = dict( |
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data_preprocessor=data_preprocessor, |
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pretrained=None, |
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backbone=dict( |
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drop_rate=0., |
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init_cfg=dict( |
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type='Pretrained', checkpoint='pretrain/vit_large_p16.pth')), |
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test_cfg=dict(mode='slide', crop_size=(768, 768), stride=(512, 512))) |
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|
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optimizer = dict(weight_decay=0.0) |
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optim_wrapper = dict( |
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type='OptimWrapper', |
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optimizer=optimizer, |
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paramwise_cfg=dict(custom_keys={'head': dict(lr_mult=10.)})) |
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train_dataloader = dict(batch_size=1) |
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val_dataloader = dict(batch_size=1) |
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test_dataloader = val_dataloader |
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|