mmsegmentation/configs/sem_fpn/fpn_r101_512x512_160k_ade20...

_base_ = './fpn_r50_512x512_160k_ade20k.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)
Add Semantic FPN (#94) * Add Semantic FPN * remove HRFPN 2020-09-03 19:56:36 +08:00			`_base_ = './fpn_r50_512x512_160k_ade20k.py'`
			`model = dict(pretrained='open-mmlab://resnet101_v1c', backbone=dict(depth=101))`
[Refactor] Refactor decode_head and segmentors and add preprocess_cfg 2022-06-10 22:02:40 +08:00			`crop_size = (512, 512)`
[Refactory] Refactory BaseSegmentor based BaseModel 2022-06-19 14:32:09 +08:00			`data_preprocessor = dict(size=crop_size)`
			`model = dict(data_preprocessor=data_preprocessor)`