2020-07-07 20:52:19 +08:00
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# optimizer
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optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)
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2022-06-16 13:24:19 +00:00
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optim_wrapper = dict(type='OptimWrapper', optimizer=optimizer, clip_grad=None)
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2020-07-07 20:52:19 +08:00
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# learning policy
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2022-06-08 09:25:00 +00:00
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param_scheduler = [
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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=0,
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end=160000,
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by_epoch=False)
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]
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2022-06-08 06:28:35 +00:00
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# training schedule for 160k
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train_cfg = dict(
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type='IterBasedTrainLoop', max_iters=160000, val_interval=16000)
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val_cfg = dict(type='ValLoop')
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test_cfg = dict(type='TestLoop')
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default_hooks = dict(
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timer=dict(type='IterTimerHook'),
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2022-08-09 19:16:07 +08:00
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logger=dict(type='LoggerHook', interval=50, log_metric_by_epoch=False),
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2022-06-08 06:28:35 +00:00
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param_scheduler=dict(type='ParamSchedulerHook'),
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checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=16000),
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sampler_seed=dict(type='DistSamplerSeedHook'),
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2022-08-09 23:33:04 +08:00
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visualization=dict(type='SegVisualizationHook'))
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