mmocr/configs/textdet/fcenet/_base_fcenet_resnet50-dcnv2...

17 lines
512 B
Python

_base_ = [
'_base_fcenet_resnet50_fpn.py',
]
model = dict(
backbone=dict(
norm_eval=True,
style='pytorch',
dcn=dict(type='DCNv2', deform_groups=2, fallback_on_stride=False),
stage_with_dcn=(False, True, True, True)),
det_head=dict(
module_loss=dict(
type='FCEModuleLoss',
num_sample=50,
level_proportion_range=((0, 0.25), (0.2, 0.65), (0.55, 1.0))),
postprocessor=dict(text_repr_type='poly', alpha=1.0, beta=2.0)))