Image Segmentation
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PyTorch
upernet
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test2 / configs /deeplabv3plus /deeplabv3plus_r18b-d8_769x769_80k_cityscapes.py
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_base_ = './deeplabv3plus_r50-d8_769x769_80k_cityscapes.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))