| _base_ = [ | |
| '../_base_/models/ocrnet_hr18.py', '../_base_/datasets/ade20k.py', | |
| '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.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)), | |
| ]) | |