| _base_ = [ | |
| '../_base_/models/pointrend_r50.py', '../_base_/datasets/ade20k.py', | |
| '../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' | |
| ] | |
| crop_size = (512, 512) | |
| data_preprocessor = dict(size=crop_size) | |
| norm_cfg = dict(type='SyncBN', requires_grad=True) | |
| model = dict( | |
| data_preprocessor=data_preprocessor, | |
| 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)) | |
| ]) | |
| param_scheduler = [ | |
| dict(type='LinearLR', by_epoch=False, start_factor=0.1, begin=0, end=200), | |
| dict( | |
| type='PolyLR', | |
| eta_min=1e-4, | |
| power=0.9, | |
| begin=200, | |
| end=160000, | |
| by_epoch=False, | |
| ) | |
| ] | |