| _base_ = [ |
| '../_base_/models/ocrnet_hr18.py', '../_base_/datasets/ade20k.py', |
| '../_base_/default_runtime.py', '../_base_/schedules/schedule_80k.py' |
| ] |
| norm_cfg = dict(type='SyncBN', requires_grad=True) |
| model = dict(decode_head=[ |
| dict( |
| type='FCNHead', |
| in_channels=[18, 36, 72, 144], |
| channels=sum([18, 36, 72, 144]), |
| in_index=(0, 1, 2, 3), |
| input_transform='resize_concat', |
| kernel_size=1, |
| num_convs=1, |
| concat_input=False, |
| dropout_ratio=-1, |
| num_classes=150, |
| norm_cfg=norm_cfg, |
| align_corners=False, |
| loss_decode=dict( |
| type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)), |
| dict( |
| type='OCRHead', |
| in_channels=[18, 36, 72, 144], |
| in_index=(0, 1, 2, 3), |
| input_transform='resize_concat', |
| channels=512, |
| ocr_channels=256, |
| dropout_ratio=-1, |
| num_classes=150, |
| norm_cfg=norm_cfg, |
| align_corners=False, |
| loss_decode=dict( |
| type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), |
| ]) |
|
|
