mmsegmentation/configs/upernet/upernet_r50_4xb4-20k_voc12a...

12 lines
370 B
Python

_base_ = [
'../_base_/models/upernet_r50.py',
'../_base_/datasets/pascal_voc12_aug.py', '../_base_/default_runtime.py',
'../_base_/schedules/schedule_20k.py'
]
crop_size = (512, 512)
data_preprocessor = dict(size=crop_size)
model = dict(
data_preprocessor=data_preprocessor,
decode_head=dict(num_classes=21),
auxiliary_head=dict(num_classes=21))