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_base_ = [ |
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'../_base_/models/pointrend_r50.py', '../_base_/datasets/ade20k.py', |
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'../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py' |
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] |
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crop_size = (512, 512) |
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data_preprocessor = dict(size=crop_size) |
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norm_cfg = dict(type='SyncBN', requires_grad=True) |
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model = dict( |
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data_preprocessor=data_preprocessor, |
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decode_head=[ |
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dict( |
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type='FPNHead', |
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in_channels=[256, 256, 256, 256], |
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in_index=[0, 1, 2, 3], |
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feature_strides=[4, 8, 16, 32], |
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channels=128, |
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dropout_ratio=-1, |
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num_classes=150, |
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norm_cfg=norm_cfg, |
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align_corners=False, |
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loss_decode=dict( |
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type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), |
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dict( |
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type='PointHead', |
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in_channels=[256], |
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in_index=[0], |
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channels=256, |
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num_fcs=3, |
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coarse_pred_each_layer=True, |
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dropout_ratio=-1, |
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num_classes=150, |
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align_corners=False, |
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loss_decode=dict( |
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type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)) |
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]) |
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param_scheduler = [ |
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dict(type='LinearLR', by_epoch=False, start_factor=0.1, begin=0, end=200), |
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dict( |
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type='PolyLR', |
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eta_min=1e-4, |
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power=0.9, |
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begin=200, |
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end=160000, |
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by_epoch=False, |
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) |
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] |
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