18 lines
524 B
Python
18 lines
524 B
Python
# model settings
|
|
model = dict(
|
|
type='ImageClassifier',
|
|
backbone=dict(
|
|
type='ResNet_CIFAR',
|
|
depth=50,
|
|
num_stages=4,
|
|
out_indices=(3, ),
|
|
style='pytorch'),
|
|
neck=dict(type='GlobalAveragePooling'),
|
|
head=dict(
|
|
type='MultiLabelLinearClsHead',
|
|
num_classes=10,
|
|
in_channels=2048,
|
|
loss=dict(type='CrossEntropyLoss', loss_weight=1.0, use_soft=True)),
|
|
train_cfg=dict(
|
|
augments=dict(type='BatchMixup', alpha=1., num_classes=10, prob=1.)))
|