mmclassification/configs/_base_/models/convnext/convnext-large.py

20 lines
564 B
Python

# Model settings
model = dict(
type='ImageClassifier',
backbone=dict(type='ConvNeXt', arch='large', drop_path_rate=0.5),
head=dict(
type='LinearClsHead',
num_classes=1000,
in_channels=1536,
loss=dict(
type='LabelSmoothLoss', label_smooth_val=0.1, mode='original'),
init_cfg=None,
),
init_cfg=dict(
type='TruncNormal', layer=['Conv2d', 'Linear'], std=.02, bias=0.),
train_cfg=dict(augments=[
dict(type='Mixup', alpha=0.8),
dict(type='CutMix', alpha=1.0),
]),
)