# model settings | |
norm_cfg = dict(type='SyncBN', eps=0.001, requires_grad=True) | |
model = dict( | |
type='EncoderDecoder', | |
backbone=dict( | |
type='MobileNetV3', | |
arch='large', | |
out_indices=(1, 3, 16), | |
norm_cfg=norm_cfg), | |
decode_head=dict( | |
type='LRASPPHead', | |
in_channels=(16, 24, 960), | |
in_index=(0, 1, 2), | |
channels=128, | |
input_transform='multiple_select', | |
dropout_ratio=0.1, | |
num_classes=19, | |
norm_cfg=norm_cfg, | |
act_cfg=dict(type='ReLU'), | |
align_corners=False, | |
loss_decode=dict( | |
type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), | |
# model training and testing settings | |
train_cfg=dict(), | |
test_cfg=dict(mode='whole')) | |