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open-mmlab / mmsegmentation Public

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mmsegmentation
configs
mask2former

/

mask2former_swin-b-in22k-384x384-pre_8xb2-160k_ade20k-640x640.py

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5 lines (4 loc) · 314 Bytes

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mmsegmentation
configs
mask2former

/

mask2former_swin-b-in22k-384x384-pre_8xb2-160k_ade20k-640x640.py

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5 lines (4 loc) · 314 Bytes

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_base_ = ['./mask2former_swin-b-in1k-384x384-pre_8xb2-160k_ade20k-640x640.py']

pretrained = 'https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/swin/swin_base_patch4_window12_384_22k_20220317-e5c09f74.pth' # noqa

model = dict(

backbone=dict(init_cfg=dict(type='Pretrained', checkpoint=pretrained)))

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