| _base_ = [ | |
| '../_base_/models/pointrend_r50.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='FPNHead', | |
| in_channels=[256, 256, 256, 256], | |
| in_index=[0, 1, 2, 3], | |
| feature_strides=[4, 8, 16, 32], | |
| channels=128, | |
| 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)), | |
| dict( | |
| type='PointHead', | |
| in_channels=[256], | |
| in_index=[0], | |
| channels=256, | |
| num_fcs=3, | |
| coarse_pred_each_layer=True, | |
| dropout_ratio=-1, | |
| num_classes=150, | |
| align_corners=False, | |
| loss_decode=dict( | |
| type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)) | |
| ]) | |
| lr_config = dict(warmup='linear', warmup_iters=200) | |