mirrors
/
mmsegmentation
mirror of https://github.com/open-mmlab/mmsegmentation.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity

Update config.md (#678) 

Fixed some typos.
pull/1801/head
keke1u 2021-07-07 16:19:45 +08:00 committed by GitHub
parent fef381845d
commit b785c95583
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
docs/tutorials/config.md
View File

@ -238,12 +238,12 @@ lr_config = dict(
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.
power=0.9, # The power of polynomial decay.
min_lr=0.0001, # The minimum learning rate to stable the training.
by_epoch=False) # Whethe count by epoch or not.
by_epoch=False) # Whether count by epoch or not.
runner = dict(
type='IterBasedRunner', # Type of runner to use (i.e. IterBasedRunner or EpochBasedRunner)
max_iters=40000) # Total number of iterations. For EpochBasedRunner use `max_epochs`
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.
by_epoch=False, # Whethe count by epoch or not.
by_epoch=False, # Whether count by epoch or not.
interval=4000) # The save interval.
evaluation = dict( # The config to build the evaluation hook. Please refer to mmseg/core/evaulation/eval_hook.py for details.
interval=4000, # The interval of evaluation.
@ -321,7 +321,7 @@ model = dict(
auxiliary_head=dict(...))
```
The `_delete_=True` would replace all old keys in `backbone` field with new keys new keys.
The `_delete_=True` would replace all old keys in `backbone` field with new keys.
### Use intermediate variables in configs