File size: 1,061 Bytes
9c06ac7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
_base_ = [
    '../../_base_/default_runtime.py',
    '../../_base_/schedules/schedule_adam_step_20e.py',
    '../../_base_/recog_pipelines/abinet_pipeline.py',
    '../../_base_/recog_models/abinet.py',
    # '../../_base_/recog_datasets/ST_MJ_alphanumeric_train.py',
    '../../_base_/recog_datasets/toy_data.py'
    # '../../_base_/recog_datasets/academic_test.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=192,
    workers_per_gpu=8,
    val_dataloader=dict(samples_per_gpu=1),
    test_dataloader=dict(samples_per_gpu=1),
    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')