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Has anyone tested this net? Does it actually work? #4

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Rizhiy opened this issue Oct 13, 2017 · 17 comments
Open

Has anyone tested this net? Does it actually work? #4

Rizhiy opened this issue Oct 13, 2017 · 17 comments

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@Rizhiy
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Rizhiy commented Oct 13, 2017

I have tried to train it, but got just noise as the output. Has anyone managed to train it?

@strongwolf
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What is your mAP? I also have tried to train it but result in a very low accuracy.

@Rizhiy
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Rizhiy commented Nov 7, 2017

mAP is almost zero. I have tried to debug and it appears that bbox regressor doesn't work at all.
I think that PSRoIPooling might not be implemented correctly here.

@noUmbrella
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Hi, I find that this code has a serious bug in rfcn.py at 212 and 213, I think it should be self.rfcn_bbox = Conv2d(1024,778, 1,1, bn=False) self.rfcn_score = Conv2d(1024, 77self.n_classes,1,1,bn=False), do you change here? If you do that, can it work well?

@noUmbrella
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Hi, I find that this code has a serious bug in rfcn.py at 212 and 213, I think it should be self.rfcn_bbox = Conv2d(1024,778, 1,1, bn=False) self.rfcn_score = Conv2d(1024, 77self.n_classes,1,1,bn=False), do you change here? If you do that, can it work well?@Rizhiy

@RichardMrLu
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@noUmbrella after your solved this bug, do you work well? what is your mAP?

@noUmbrella
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I test the mAP is very small, about 0.25. I found that, the classify is right and the regression is not work@RichardMrLu

@Rizhiy
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Rizhiy commented Dec 19, 2017

I have the same experience as @noUmbrella, classification works fine, but bbox regression is very bad.

@noUmbrella
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Hi, do you find the bug? Does the Position Pooling Layer exists problem? @Rizhiy

@noUmbrella
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Hi, do you find the bug? Does the Position Pooling Layer exists problem? @RichardMrLu

@RichardMrLu
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@noUmbrella = = sorry, I didn't run the code.

@jjprincess
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I have changed self.rfcn_bbox and self.rfcn_score ,but when i trained the network,bbox regression can not converge.Does anybody can help?

@Rizhiy
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Rizhiy commented Dec 28, 2017

@jjprincess For me, it also either doesn't converge or converges poorly and I get very low mAP.

@jjprincess
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@Rizhiy There may be some wrong with the code,I has changed the frame “mxnet”,I got right results.
Here is the link"https://github.com/msracver/Deformable-ConvNets"

@Rizhiy
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Rizhiy commented Dec 29, 2017

@jjprincess Yes, I'm already using that version, but I like PyTorch more than MXNet.

@sophieyl
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sophieyl commented Jan 29, 2018

I use VOC2007 so I change the imdb_name='voc_2007_trainval' in train.py in line36.
when i debug, I find that in pascal_voc.py line 49, self._classes had been rewrite, so I comment that line and then change line 212 self.rfcn_score = Conv2d(1024,7721, 1,1, bn=False) in file rfcn.py @noUmbrella

@lxtGH
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lxtGH commented Feb 25, 2018

look at this repo

@princewang1994
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This repo stop updating for more than one year. If someone still interesting in pytorch R-FCN, pls look at another pytorch implement - princewang1994/R-FCN.pytorch, thanks~

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