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a3a144a361
* rename ann configs * update ann yml * update * update * update * update * update * update ann readme * update * update deeplabv3 * update readme * fix yml * fix beit
30 lines
975 B
Python
30 lines
975 B
Python
_base_ = [
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'../_base_/models/bisenetv1_r18-d32.py',
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'../_base_/datasets/cityscapes_1024x1024.py',
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'../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py'
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]
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crop_size = (1024, 1024)
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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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backbone=dict(
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backbone_cfg=dict(
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init_cfg=dict(
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type='Pretrained', checkpoint='open-mmlab://resnet18_v1c'))))
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param_scheduler = [
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dict(type='LinearLR', by_epoch=False, start_factor=0.1, begin=0, end=1000),
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dict(
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type='PolyLR',
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eta_min=1e-4,
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power=0.9,
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begin=1000,
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end=160000,
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by_epoch=False,
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)
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]
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optimizer = dict(type='SGD', lr=0.025, momentum=0.9, weight_decay=0.0005)
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optim_wrapper = dict(type='OptimWrapper', optimizer=optimizer)
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train_dataloader = dict(batch_size=4, num_workers=4)
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val_dataloader = dict(batch_size=1, num_workers=4)
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test_dataloader = val_dataloader
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