33 lines
1014 B
Python
33 lines
1014 B
Python
_base_ = [
|
|
'../_base_/models/pointrend_r50.py', '../_base_/datasets/ade20k.py',
|
|
'../_base_/default_runtime.py', '../_base_/schedules/schedule_160k.py'
|
|
]
|
|
norm_cfg = dict(type='SyncBN', requires_grad=True)
|
|
model = dict(decode_head=[
|
|
dict(
|
|
type='FPNHead',
|
|
in_channels=[256, 256, 256, 256],
|
|
in_index=[0, 1, 2, 3],
|
|
feature_strides=[4, 8, 16, 32],
|
|
channels=128,
|
|
dropout_ratio=-1,
|
|
num_classes=150,
|
|
norm_cfg=norm_cfg,
|
|
align_corners=False,
|
|
loss_decode=dict(
|
|
type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),
|
|
dict(
|
|
type='PointHead',
|
|
in_channels=[256],
|
|
in_index=[0],
|
|
channels=256,
|
|
num_fcs=3,
|
|
coarse_pred_each_layer=True,
|
|
dropout_ratio=-1,
|
|
num_classes=150,
|
|
align_corners=False,
|
|
loss_decode=dict(
|
|
type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0))
|
|
])
|
|
lr_config = dict(warmup='linear', warmup_iters=200)
|