mmpretrain/configs/_base_/models/hrnet/hrnet-w32.py

16 lines
418 B
Python

# model settings
model = dict(
type='ImageClassifier',
backbone=dict(type='HRNet', arch='w32'),
neck=[
dict(type='HRFuseScales', in_channels=(32, 64, 128, 256)),
dict(type='GlobalAveragePooling'),
],
head=dict(
type='LinearClsHead',
in_channels=2048,
num_classes=1000,
loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
topk=(1, 5),
))