mirror of https://github.com/open-mmlab/mmocr.git
43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
_base_ = [
|
|
'../_base_/datasets/toy_data.py',
|
|
'../_base_/default_runtime.py',
|
|
'../_base_/schedules/schedule_adam_base.py',
|
|
'_base_nrtr_modality-transform.py',
|
|
]
|
|
|
|
# optimizer settings
|
|
train_cfg = dict(max_epochs=6)
|
|
# learning policy
|
|
param_scheduler = [
|
|
dict(type='MultiStepLR', milestones=[3, 4], end=6),
|
|
]
|
|
|
|
# dataset settings
|
|
train_list = [_base_.toy_rec_train]
|
|
test_list = [_base_.toy_rec_test]
|
|
|
|
train_dataset = dict(
|
|
type='ConcatDataset', datasets=train_list, pipeline=_base_.train_pipeline)
|
|
test_dataset = dict(
|
|
type='ConcatDataset', datasets=test_list, pipeline=_base_.test_pipeline)
|
|
|
|
train_dataloader = dict(
|
|
batch_size=8,
|
|
num_workers=4,
|
|
persistent_workers=True,
|
|
sampler=dict(type='DefaultSampler', shuffle=True),
|
|
dataset=train_dataset)
|
|
|
|
val_dataloader = dict(
|
|
batch_size=1,
|
|
num_workers=4,
|
|
persistent_workers=True,
|
|
drop_last=False,
|
|
sampler=dict(type='DefaultSampler', shuffle=False),
|
|
dataset=test_dataset)
|
|
|
|
test_dataloader = val_dataloader
|
|
|
|
val_evaluator = dict(dataset_prefixes=['Toy'])
|
|
test_evaluator = val_evaluator
|