mmpretrain/configs/_base_/models/repvgg-B3_lbs-mixup_in1k.py
2022-07-18 11:11:13 +08:00

23 lines
569 B
Python

model = dict(
type='ImageClassifier',
backbone=dict(
type='RepVGG',
arch='B3',
out_indices=(3, ),
),
neck=dict(type='GlobalAveragePooling'),
head=dict(
type='LinearClsHead',
num_classes=1000,
in_channels=2560,
loss=dict(
type='LabelSmoothLoss',
loss_weight=1.0,
label_smooth_val=0.1,
mode='classy_vision',
num_classes=1000),
topk=(1, 5),
),
train_cfg=dict(augments=dict(type='Mixup', alpha=0.2, num_classes=1000)),
)