mmselfsup/configs/benchmarks/classification/_base_/models/resnet50.py

16 lines
423 B
Python

model = dict(
type='Classification',
backbone=dict(
type='ResNet',
depth=50,
in_channels=3,
num_stages=4,
strides=(1, 2, 2, 2),
dilations=(1, 1, 1, 1),
out_indices=[4], # 0: conv-1, x: stage-x
norm_cfg=dict(type='BN'),
frozen_stages=-1),
head=dict(
type='ClsHead', with_avg_pool=True, in_channels=2048,
num_classes=1000))