mmpretrain/configs/_base_/models/resnext101_32x4d.py

20 lines
472 B
Python

# model settings
model = dict(
type='ImageClassifier',
backbone=dict(
type='ResNeXt',
depth=101,
num_stages=4,
out_indices=(3, ),
groups=32,
width_per_group=4,
style='pytorch'),
neck=dict(type='GlobalAveragePooling'),
head=dict(
type='LinearClsHead',
num_classes=1000,
in_channels=2048,
loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
topk=(1, 5),
))