mmyolo/configs/yolox/yolox_nano_fast_8xb32-300e-rtmdet-hyp_coco.py
Haian Huang(深度眸) 6400fba1af
[Enchance] Optimize and accelerate YOLOX with RTMDet hyps (#542)
* enchance yolox

* update

* update

* fix

* fix

* fix lint
2023-02-17 11:27:03 +08:00

22 lines
660 B
Python

_base_ = './yolox_tiny_fast_8xb32-300e-rtmdet-hyp_coco.py'
# ========================modified parameters======================
deepen_factor = 0.33
widen_factor = 0.25
use_depthwise = True
# =======================Unmodified in most cases==================
# model settings
model = dict(
backbone=dict(
deepen_factor=deepen_factor,
widen_factor=widen_factor,
use_depthwise=use_depthwise),
neck=dict(
deepen_factor=deepen_factor,
widen_factor=widen_factor,
use_depthwise=use_depthwise),
bbox_head=dict(
head_module=dict(
widen_factor=widen_factor, use_depthwise=use_depthwise)))