snnetv2-semantic-segmentation / configs /swin /swin-large-patch4-window12-in22k-384x384-pre_upernet_8xb2-160k_ade20k-512x512.py
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_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))