| _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]))) | |