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_base_ = [ | |
'_base_mask-rcnn_resnet50_fpn.py', | |
'../_base_/datasets/icdar2015.py', | |
'../_base_/default_runtime.py', | |
'../_base_/schedules/schedule_sgd_base.py', | |
] | |
# optimizer | |
optim_wrapper = dict(optimizer=dict(lr=0.08)) | |
train_cfg = dict(max_epochs=160) | |
# learning policy | |
param_scheduler = [ | |
dict(type='LinearLR', end=500, start_factor=0.001, by_epoch=False), | |
dict(type='MultiStepLR', milestones=[80, 128], end=160), | |
] | |
# 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) | |