| _base_ = [ | |
| '../../_base_/default_runtime.py', '../../_base_/recog_models/sar.py', | |
| '../../_base_/schedules/schedule_adam_step_5e.py', | |
| '../../_base_/recog_pipelines/sar_pipeline.py', | |
| '../../_base_/recog_datasets/ST_SA_MJ_real_train.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=64, | |
| workers_per_gpu=2, | |
| 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') | |