mirror of
https://github.com/open-mmlab/mmocr.git
synced 2025-06-03 21:54:47 +08:00
33 lines
923 B
Python
33 lines
923 B
Python
|
_base_ = [
|
||
|
|
'../../_base_/default_runtime.py',
|
||
|
|
'../../_base_/recog_models/nrtr_modality_transform.py',
|
||
|
|
'../../_base_/schedules/schedule_adam_step_6e.py',
|
||
|
|
'../../_base_/recog_datasets/ST_MJ_train.py',
|
||
|
|
'../../_base_/recog_datasets/academic_test.py',
|
||
|
|
'../../_base_/recog_pipelines/nrtr_pipeline.py'
|
||
|
|
]
|
||
|
|
|
||
|
|
train_list = {{_base_.train_list}}
|
||
|
|
test_list = {{_base_.test_list}}
|
||
|
|
|
||
|
|
train_pipeline = {{_base_.train_pipeline}}
|
||
|
|
test_pipeline = {{_base_.test_pipeline}}
|
||
|
|
|
||
|
|
data = dict(
|
||
|
|
samples_per_gpu=128,
|
||
|
|
workers_per_gpu=4,
|
||
|
|
train=dict(
|
||
|
|
type='UniformConcatDataset',
|
||
|
|
datasets=train_list,
|
||
|
|
pipeline=train_pipeline),
|
||
|
|
val=dict(
|
||
|
|
type='UniformConcatDataset',
|
||
|
|
datasets=test_list,
|
||
|
|
pipeline=test_pipeline),
|
||
|
|
test=dict(
|
||
|
|
type='UniformConcatDataset',
|
||
|
|
datasets=test_list,
|
||
|
|
pipeline=test_pipeline))
|
||
|
|
|
||
|
|
evaluation = dict(interval=1, metric='acc')
|