configs/sem_fpn/fpn_r101_4xb4-160k_ade20k-512x512.py

_base_ = './fpn_r50_4xb4-160k_ade20k-512x512.py'
model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))
crop_size = (512, 512)
data_preprocessor = dict(size=crop_size)
model = dict(data_preprocessor=data_preprocessor)