CSPDarkNet
CSPDarkNet backbone based on YOLOX: Exceeding YOLO Series in 2021 .
CSPDarkNet is a modified model from Darknet53 by adopting the strategy of CSPNet. Therefore, the structure of the model is fixed, and neither the number of stages nor type of blocks can be changed. The size of the model is determined by two values, which define the feature dimensions within the model and the repetition of CSPLayers.
Field list
Field
Description
name
(str) Name must be "cspdarknet" to use CSPDarkNet
backbone.
params.depthwise
(bool) Whether to enable depthwise convolution for the CSPDarkNet
backbone.
params.dep_mul
(float) Multiplying factor determining the repetition count of CSPLayer
in the backbone.
params.wid_mul
(float) Multiplying factor adjusting the input/output dimensions of convolutional layers throughout the backbone.
params.act_type
(str) Type of activation function for the model. Supporting activation functions are described in [here] .
Model configuration examples
CSPDarkNet-nano
model :
architecture :
backbone :
name : cspdarknet
params :
depthwise : True
dep_mul : &dep_mul 0.33
wid_mul : 0.25
act_type : &act_type "silu"
stage_params : ~
CSPDarkNet-tiny
model :
architecture :
backbone :
name : cspdarknet
params :
depthwise : False
dep_mul : &dep_mul 0.33
wid_mul : 0.375
act_type : &act_type "silu"
stage_params : ~
CSPDarkNet-s
model :
architecture :
backbone :
name : cspdarknet
params :
depthwise : False
dep_mul : &dep_mul 0.33
wid_mul : 0.5
act_type : &act_type "silu"
stage_params : ~
CSPDarkNet-m
model :
architecture :
backbone :
name : cspdarknet
params :
depthwise : False
dep_mul : &dep_mul 0.67
wid_mul : 0.75
act_type : &act_type "silu"
stage_params : ~
CSPDarkNet-l
model :
architecture :
backbone :
name : cspdarknet
params :
depthwise : False
dep_mul : &dep_mul 1.0
wid_mul : 1.0
act_type : &act_type "silu"
stage_params : ~
CSPDarkNet-x
model :
architecture :
backbone :
name : cspdarknet
params :
depthwise : False
dep_mul : &dep_mul 1.33
wid_mul : 1.25
act_type : &act_type "silu"
stage_params : ~