ssds.pytorch
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How to set the parameters of the pre-training model
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
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.
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.
where can i get the mobilenet_v2_rfb_lite_voc_73.4.pth' and other **.pth files
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 ?
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.