16 lines
625 B
Python
16 lines
625 B
Python
_base_ = [
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'swin-tiny-patch4-window7-in1k-pre_upernet_8xb2-160k_'
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'ade20k-512x512.py'
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]
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checkpoint_file = 'https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/swin/swin_large_patch4_window7_224_22k_20220412-aeecf2aa.pth' # noqa
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model = dict(
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backbone=dict(
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init_cfg=dict(type='Pretrained', checkpoint=checkpoint_file),
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pretrain_img_size=224,
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embed_dims=192,
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depths=[2, 2, 18, 2],
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num_heads=[6, 12, 24, 48],
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window_size=7),
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decode_head=dict(in_channels=[192, 384, 768, 1536], num_classes=150),
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auxiliary_head=dict(in_channels=768, num_classes=150))
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