mmpretrain/configs/_base_/models/resnet50_cutmix.py

19 lines
538 B
Python

# model settings
model = dict(
type='ImageClassifier',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(3, ),
style='pytorch'),
neck=dict(type='GlobalAveragePooling'),
head=dict(
type='MultiLabelLinearClsHead',
num_classes=1000,
in_channels=2048,
loss=dict(type='CrossEntropyLoss', loss_weight=1.0, use_soft=True)),
train_cfg=dict(
augments=dict(
type='BatchCutMix', alpha=1.0, num_classes=1000, prob=1.0)))