"""DeeplabV3 with ResNet-101-d8."""

_base_ = "./deeplabv3_r50-d8_512x1024_80k_sem_seg_bdd100k.py"
model = dict(pretrained="open-mmlab://resnet101_v1c", backbone=dict(depth=101))
load_from = "https://dl.cv.ethz.ch/bdd100k/sem_seg/models/deeplabv3_r101-d8_512x1024_80k_sem_seg_bdd100k.pth"

962e32a813bfa04688a694a093af3b55c091c35d
<mask token>

<mask token>
_base_ = './deeplabv3_r50-d8_512x1024_80k_sem_seg_bdd100k.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
load_from = (
    'https://dl.cv.ethz.ch/bdd100k/sem_seg/models/deeplabv3_r101-d8_512x1024_80k_sem_seg_bdd100k.pth'
    )

"""DeeplabV3 with ResNet-101-d8."""

_base_ = "./deeplabv3_r50-d8_512x1024_80k_sem_seg_bdd100k.py"
model = dict(pretrained="open-mmlab://resnet101_v1c", backbone=dict(depth=101))
load_from = "https://dl.cv.ethz.ch/bdd100k/sem_seg/models/deeplabv3_r101-d8_512x1024_80k_sem_seg_bdd100k.pth"
