snnetv2-semantic-segmentation / configs /segformer /segformer_mit-b3_8xb2-160k_ade20k-512x512.py
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_base_ = ['./segformer_mit-b0_8xb2-160k_ade20k-512x512.py']
checkpoint = 'https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/segformer/mit_b3_20220624-13b1141c.pth' # noqa
# model settings
model = dict(
backbone=dict(
init_cfg=dict(type='Pretrained', checkpoint=checkpoint),
embed_dims=64,
num_heads=[1, 2, 5, 8],
num_layers=[3, 4, 18, 3]),
decode_head=dict(in_channels=[64, 128, 320, 512]))