mmpretrain/configs/_base_/models/repmlp-base_224.py

19 lines
460 B
Python

# model settings
model = dict(
type='ImageClassifier',
backbone=dict(
type='RepMLPNet',
arch='B',
img_size=224,
out_indices=(3, ),
reparam_conv_kernels=(1, 3),
deploy=False),
neck=dict(type='GlobalAveragePooling'),
head=dict(
type='LinearClsHead',
num_classes=1000,
in_channels=768,
loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
topk=(1, 5),
))