snnetv2-semantic-segmentation / configs /deeplabv3plus /deeplabv3plus_r18b-d8_4xb2-80k_cityscapes-769x769.py
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_base_ = './deeplabv3plus_r50-d8_4xb2-40k_cityscapes-769x769.py'
model = dict(
pretrained='torchvision://resnet18',
backbone=dict(type='ResNet', depth=18),
decode_head=dict(
c1_in_channels=64,
c1_channels=12,
in_channels=512,
channels=128,
),
auxiliary_head=dict(in_channels=256, channels=64))