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_base_ = [
'_base_fcenet_resnet50_fpn.py',
'../_base_/datasets/icdar2015.py',
'../_base_/default_runtime.py',
'../_base_/schedules/schedule_sgd_base.py',
]
optim_wrapper = dict(optimizer=dict(lr=1e-3, weight_decay=5e-4))
train_cfg = dict(max_epochs=1500)
# learning policy
param_scheduler = [
dict(type='PolyLR', power=0.9, eta_min=1e-7, end=1500),
]
# dataset settings
icdar2015_textdet_train = _base_.icdar2015_textdet_train
icdar2015_textdet_test = _base_.icdar2015_textdet_test
icdar2015_textdet_train.pipeline = _base_.train_pipeline
icdar2015_textdet_test.pipeline = _base_.test_pipeline
train_dataloader = dict(
batch_size=8,
num_workers=4,
persistent_workers=True,
sampler=dict(type='DefaultSampler', shuffle=True),
dataset=icdar2015_textdet_train)
val_dataloader = dict(
batch_size=1,
num_workers=1,
persistent_workers=True,
sampler=dict(type='DefaultSampler', shuffle=False),
dataset=icdar2015_textdet_test)
test_dataloader = val_dataloader
auto_scale_lr = dict(base_batch_size=8)
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