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How to set the parameters of the pre-training model

Open Damon2019 opened this issue 6 years ago • 5 comments

i want to use pre-training model

TRAINABLE_SCOPE: 'base,norm,extras,loc,conf' RESUME_SCOPE: 'base,norm,extras,loc,conf' TRAINABLE_SCOPE and RESUME_SCOPE , How should I modify or Which parameters should I remove?
thanks

Damon2019 avatar Sep 17 '19 14:09 Damon2019

if you want to train for a new dataset, you can freeze the base,norm,extras first and then fine-tuning the whole parameter. If you want to train the network from the imageNet pretrain model, only freeze the base part.

foreverYoungGitHub avatar Sep 18 '19 23:09 foreverYoungGitHub

i want to train for a new dataset 。Is my parameter setting like this?As follows:

TRAINABLE_SCOPE: 'base,norm,extras,loc,conf' RESUME_SCOPE: 'base,norm,extras' I am a newbie,I hope that you can give me detailed advice.

Damon2019 avatar Sep 18 '19 23:09 Damon2019

where can i get the mobilenet_v2_rfb_lite_voc_73.4.pth' and other **.pth files

2017TJM avatar Oct 08 '19 03:10 2017TJM

在哪里可以获取mobilenet_v2_rfb_lite_voc_73.4.pth'和其他**。pth文件

have you got it ?

gengpengs avatar Apr 20 '20 06:04 gengpengs

Would you mind attaching the whole config file?

The relative pretrained weights in the master branch are stored in the google drive. You can find the relative links at here https://github.com/ShuangXieIrene/ssds.pytorch#performance.

foreverYoungGitHub avatar Jul 13 '20 19:07 foreverYoungGitHub