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@ -238,12 +238,12 @@ lr_config = dict(
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policy='poly', # The policy of scheduler, also support Step, CosineAnnealing, Cyclic, etc. Refer to details of supported LrUpdater from https://github.com/open-mmlab/mmcv/blob/master/mmcv/runner/hooks/lr_updater.py#L9.
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policy='poly', # The policy of scheduler, also support Step, CosineAnnealing, Cyclic, etc. Refer to details of supported LrUpdater from https://github.com/open-mmlab/mmcv/blob/master/mmcv/runner/hooks/lr_updater.py#L9.
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power=0.9, # The power of polynomial decay.
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power=0.9, # The power of polynomial decay.
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min_lr=0.0001, # The minimum learning rate to stable the training.
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min_lr=0.0001, # The minimum learning rate to stable the training.
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by_epoch=False) # Whethe count by epoch or not.
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by_epoch=False) # Whether count by epoch or not.
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runner = dict(
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runner = dict(
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type='IterBasedRunner', # Type of runner to use (i.e. IterBasedRunner or EpochBasedRunner)
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type='IterBasedRunner', # Type of runner to use (i.e. IterBasedRunner or EpochBasedRunner)
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max_iters=40000) # Total number of iterations. For EpochBasedRunner use `max_epochs`
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max_iters=40000) # Total number of iterations. For EpochBasedRunner use `max_epochs`
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checkpoint_config = dict( # Config to set the checkpoint hook, Refer to https://github.com/open-mmlab/mmcv/blob/master/mmcv/runner/hooks/checkpoint.py for implementation.
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checkpoint_config = dict( # Config to set the checkpoint hook, Refer to https://github.com/open-mmlab/mmcv/blob/master/mmcv/runner/hooks/checkpoint.py for implementation.
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by_epoch=False, # Whethe count by epoch or not.
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by_epoch=False, # Whether count by epoch or not.
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interval=4000) # The save interval.
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interval=4000) # The save interval.
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evaluation = dict( # The config to build the evaluation hook. Please refer to mmseg/core/evaulation/eval_hook.py for details.
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evaluation = dict( # The config to build the evaluation hook. Please refer to mmseg/core/evaulation/eval_hook.py for details.
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interval=4000, # The interval of evaluation.
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interval=4000, # The interval of evaluation.
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@ -321,7 +321,7 @@ model = dict(
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auxiliary_head=dict(...))
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auxiliary_head=dict(...))
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```
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```
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The `_delete_=True` would replace all old keys in `backbone` field with new keys new keys.
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The `_delete_=True` would replace all old keys in `backbone` field with new keys.
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### Use intermediate variables in configs
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### Use intermediate variables in configs
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