mmsegmentation/configs/upernet/upernet_r50_512x512_160k_ad...

11 lines
350 B
Python

_base_ = [
'../_base_/models/upernet_r50.py', '../_base_/datasets/ade20k.py',
'../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py'
]
crop_size = (512, 512)
preprocess_cfg = dict(size=crop_size)
model = dict(
preprocess_cfg=preprocess_cfg,
decode_head=dict(num_classes=150),
auxiliary_head=dict(num_classes=150))