> -----原始邮件-----
> 发件人: "Pedro Arthur" <bygran...@gmail.com>
> 发送时间: 2019-04-11 00:12:09 (星期四)
> 收件人: "FFmpeg development discussions and patches" <ffmpeg-devel@ffmpeg.org>
> 抄送:
> 主题: Re: [FFmpeg-devel] [PATCH] libavfilter: Add derain filter init
> version--GSoC Qualification Task.
>
> Hi,
> Em ter, 9 de abr de 2019 às 22:42, <xwm...@pku.edu.cn> escreveu:
> >
> > Yes, I use the espcn model for deraining as the initial version as it's a
> > easier way to implement the filter, although the paper proposes it for
> > super-resolution. And the model does have some effect on deraining project.
> > While, it is just the first version. I will use more suitable and more
> > powerful model for derain filter according to the latest models proposed in
> > derain task, and I will upload the new model soon.
> >
>
> There is no problem in using the espcn infrastructure to start
> learning, but I still can't see how using the espcn model fits your
> purpose.
> The espcn model should output an image bigger than the input, why
> would a derain filter do that?
>
> Also you did not provide any data regarding the results you might have
> obtained neither the model file and appropriate input/reference so we
> can test it.
> What are the results you get so far (psnr before/after applying the filter)?
> _______________________________________________
We made some modifications on the original ESPCN model, such as change the
input image from one channel(Y) to three channels(RGB) and remove the
up-sampling procedure. The model file has been uploaded in
https://github.com/XueweiMeng/derain_filter and you can download the
training/testing dataset from
http://www.icst.pku.edu.cn/struct/Projects/joint_rain_removal.html. I didn't
save the PSNR/SSIM score during the training and evaluating process. So the
data will be uploaded later.
Xuewei
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