30 lines
786 B
Python
30 lines
786 B
Python
# Model settings
|
|
model = dict(
|
|
type='ImageClassifier',
|
|
backbone=dict(
|
|
type='ConvNeXt',
|
|
arch='base',
|
|
out_indices=(3, ),
|
|
drop_path_rate=0.5,
|
|
gap_before_final_norm=True,
|
|
init_cfg=[
|
|
dict(
|
|
type='TruncNormal',
|
|
layer=['Conv2d', 'Linear'],
|
|
std=.02,
|
|
bias=0.),
|
|
dict(type='Constant', layer=['LayerNorm'], val=1., bias=0.),
|
|
]),
|
|
head=dict(
|
|
type='LinearClsHead',
|
|
num_classes=1000,
|
|
in_channels=1024,
|
|
loss=dict(
|
|
type='LabelSmoothLoss', label_smooth_val=0.1, mode='original'),
|
|
),
|
|
train_cfg=dict(augments=[
|
|
dict(type='Mixup', alpha=0.8),
|
|
dict(type='CutMix', alpha=1.0),
|
|
]),
|
|
)
|