Image Segmentation
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PyTorch
upernet
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test2 / configs /deeplabv3plus /deeplabv3plus_r101-d16-mg124_512x1024_80k_cityscapes.py
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_base_ = './deeplabv3plus_r50-d8_512x1024_80k_cityscapes.py'
model = dict(
pretrained='open-mmlab://resnet101_v1c',
backbone=dict(
depth=101,
dilations=(1, 1, 1, 2),
strides=(1, 2, 2, 1),
multi_grid=(1, 2, 4)),
decode_head=dict(
dilations=(1, 6, 12, 18),
sampler=dict(type='OHEMPixelSampler', min_kept=100000)))