34 lines
1.0 KiB
Python
34 lines
1.0 KiB
Python
_base_ = [
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'../_base_/models/pspnet_r50-d8.py', '../_base_/datasets/cityscapes.py',
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'../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py'
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]
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crop_size = (512, 1024)
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data_preprocessor = dict(size=crop_size)
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checkpoint = 'https://download.openmmlab.com/mmclassification/v0/resnet/resnet50_8xb256-rsb-a1-600e_in1k_20211228-20e21305.pth' # noqa
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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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type='ResNet',
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init_cfg=dict(
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type='Pretrained', prefix='backbone.', checkpoint=checkpoint)))
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optim_wrapper = dict(
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_delete_=True,
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type='OptimWrapper',
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optimizer=dict(type='AdamW', lr=0.0005, weight_decay=0.05),
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clip_grad=dict(max_norm=1, norm_type=2))
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# learning policy
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param_scheduler = [
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dict(
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type='LinearLR', start_factor=0.001, by_epoch=False, begin=0,
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end=1000),
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dict(
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type='MultiStepLR',
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begin=1000,
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end=80000,
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by_epoch=False,
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milestones=[60000, 72000],
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)
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]
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