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How to set the parameters of the pre-training model #65

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Damon2019 opened this issue Sep 17, 2019 · 5 comments
Open

How to set the parameters of the pre-training model #65

Damon2019 opened this issue Sep 17, 2019 · 5 comments

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@Damon2019
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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

@foreverYoungGitHub
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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.

@Damon2019
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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.

@2017TJM
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2017TJM commented Oct 8, 2019

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

@gengpengs
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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 ?

@foreverYoungGitHub
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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.

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