mmpretrain/configs/_base_/models/efficientnet_es.py

14 lines
412 B
Python

# model settings
model = dict(
type='ImageClassifier',
# `es` means EfficientNet-EdgeTPU-S arch
backbone=dict(type='EfficientNet', arch='es', act_cfg=dict(type='ReLU')),
neck=dict(type='GlobalAveragePooling'),
head=dict(
type='LinearClsHead',
num_classes=1000,
in_channels=1280,
loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
topk=(1, 5),
))