snnetv2-semantic-segmentation / configs /mobilenet_v2 /mobilenet-v2-d8_deeplabv3plus_4xb2-80k_cityscapes-512x1024.py
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_base_ = [
'../deeplabv3plus/deeplabv3plus_r101-d8_4xb2-80k_cityscapes-512x1024.py'
]
model = dict(
pretrained='mmcls://mobilenet_v2',
backbone=dict(
_delete_=True,
type='MobileNetV2',
widen_factor=1.,
strides=(1, 2, 2, 1, 1, 1, 1),
dilations=(1, 1, 1, 2, 2, 4, 4),
out_indices=(1, 2, 4, 6),
norm_cfg=dict(type='SyncBN', requires_grad=True)),
decode_head=dict(in_channels=320, c1_in_channels=24),
auxiliary_head=dict(in_channels=96))