mirror of https://github.com/NVlabs/SegFormer.git
37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
_base_ = [
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'../_base_/models/ocrnet_hr18.py',
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'../_base_/datasets/pascal_voc12_aug.py', '../_base_/default_runtime.py',
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'../_base_/schedules/schedule_20k.py'
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]
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norm_cfg = dict(type='SyncBN', requires_grad=True)
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model = dict(decode_head=[
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dict(
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type='FCNHead',
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in_channels=[18, 36, 72, 144],
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channels=sum([18, 36, 72, 144]),
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in_index=(0, 1, 2, 3),
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input_transform='resize_concat',
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kernel_size=1,
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num_convs=1,
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concat_input=False,
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dropout_ratio=-1,
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num_classes=21,
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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=0.4)),
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dict(
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type='OCRHead',
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in_channels=[18, 36, 72, 144],
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in_index=(0, 1, 2, 3),
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input_transform='resize_concat',
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channels=512,
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ocr_channels=256,
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dropout_ratio=-1,
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num_classes=21,
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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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])
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