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-> keep_inds = torch.cat([fg_inds, bg_inds], 0) (Pdb) #155

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qujiangang opened this issue Oct 18, 2019 · 8 comments
Open

-> keep_inds = torch.cat([fg_inds, bg_inds], 0) (Pdb) #155

qujiangang opened this issue Oct 18, 2019 · 8 comments

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@qujiangang
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-> keep_inds = torch.cat([fg_inds, bg_inds], 0)
(Pdb)

@ChrisHJC
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ChrisHJC commented Nov 4, 2019

Do you want to insert some conv layers?Maybe you forget give weight at net/network.py line478.

@zhilaAI
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zhilaAI commented Nov 5, 2019

how to fix it?

@happybored
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Either voc2007 or my own data has the same question!!

@ChrisHJC
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I got this question because I want to insert another convolution layers,so I fix it by giving these layers weights.
image

@happybored
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happybored commented Nov 11, 2019 via email

@zhilaAI
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zhilaAI commented Nov 11, 2019

where we should Add these lines? I added them to network.py but does not work again.
in faster rcnn we do not have query and ... and also i checked that lines we have the same parameter for normal_init.

@jc56968
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jc56968 commented Nov 21, 2019

I have the same question,because i use the res50.pth which is downloaded from other website,I fix it by downloading the res50.pth from google driver the author gived.it may help you.

@zhilaAI
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zhilaAI commented Nov 22, 2019

You mean we should use specific type of res net for the model? If I want to test the model on VGG16, it doesn't work.

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5 participants