mmsegmentation/configs/hrnet/fcn_hr48_480x480_80k_pascal...

11 lines
411 B
Python

_base_ = './fcn_hr18_480x480_80k_pascal_context.py'
model = dict(
pretrained='open-mmlab://msra/hrnetv2_w48',
backbone=dict(
extra=dict(
stage2=dict(num_channels=(48, 96)),
stage3=dict(num_channels=(48, 96, 192)),
stage4=dict(num_channels=(48, 96, 192, 384)))),
decode_head=dict(
in_channels=[48, 96, 192, 384], channels=sum([48, 96, 192, 384])))