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_base_ = [ | |
'../_base_/datasets/icdar2015.py', | |
'../_base_/default_runtime.py', | |
'../_base_/schedules/schedule_adam_600e.py', | |
'_base_panet_resnet18_fpem-ffm.py', | |
] | |
default_hooks = dict(checkpoint=dict(type='CheckpointHook', interval=20), ) | |
# dataset settings | |
icdar2015_textdet_train = _base_.icdar2015_textdet_train | |
icdar2015_textdet_test = _base_.icdar2015_textdet_test | |
# pipeline settings | |
icdar2015_textdet_train.pipeline = _base_.train_pipeline | |
icdar2015_textdet_test.pipeline = _base_.test_pipeline | |
train_dataloader = dict( | |
batch_size=64, | |
num_workers=8, | |
persistent_workers=True, | |
sampler=dict(type='DefaultSampler', shuffle=True), | |
dataset=icdar2015_textdet_train) | |
val_dataloader = dict( | |
batch_size=1, | |
num_workers=4, | |
persistent_workers=True, | |
sampler=dict(type='DefaultSampler', shuffle=False), | |
dataset=icdar2015_textdet_test) | |
test_dataloader = val_dataloader | |
val_evaluator = dict( | |
type='HmeanIOUMetric', pred_score_thrs=dict(start=0.3, stop=1, step=0.05)) | |
test_evaluator = val_evaluator | |
auto_scale_lr = dict(base_batch_size=64) | |