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snnetv2-semantic-segmentation
/
configs
/swin
/swin-large-patch4-window12-in22k-384x384-pre_upernet_8xb2-160k_ade20k-512x512.py
_base_ = [ | |
'swin-large-patch4-window7-in22k-pre_upernet_' | |
'8xb2-160k_ade20k-512x512.py' | |
] | |
checkpoint_file = 'https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/swin/swin_large_patch4_window12_384_22k_20220412-6580f57d.pth' # noqa | |
model = dict( | |
backbone=dict( | |
init_cfg=dict(type='Pretrained', checkpoint=checkpoint_file), | |
pretrain_img_size=384, | |
window_size=12)) | |