47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
_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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