mmsegmentation/configs/vit/upernet_deit-s16_512x512_80...

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348 B
Python

_base_ = './upernet_vit-b16_mln_512x512_80k_ade20k.py'
model = dict(
pretrained='pretrain/deit_small_patch16_224-cd65a155.pth',
backbone=dict(num_heads=6, embed_dims=384, drop_path_rate=0.1),
decode_head=dict(num_classes=150, in_channels=[384, 384, 384, 384]),
neck=None,
auxiliary_head=dict(num_classes=150, in_channels=384))