mmpretrain/configs/_base_/models/hrnet/hrnet-w48.py

16 lines
418 B
Python

# model settings
model = dict(
type='ImageClassifier',
backbone=dict(type='HRNet', arch='w48'),
neck=[
dict(type='HRFuseScales', in_channels=(48, 96, 192, 384)),
dict(type='GlobalAveragePooling'),
],
head=dict(
type='LinearClsHead',
in_channels=2048,
num_classes=1000,
loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
topk=(1, 5),
))