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adarevd's Introduction

Academic Pages

pages-build-deployment

Academic Pages is a Github Pages template for academic websites.

Getting Started

  1. Register a GitHub account if you don't have one and confirm your e-mail (required!)
  2. Click the "Use this template" button in the top right.
  3. On the "New repository" page, enter your repository name as "[your GitHub username].github.io", which will also be your website's URL.
  4. Set site-wide configuration and add your content.
  5. Upload any files (like PDFs, .zip files, etc.) to the files/ directory. They will appear at https://[your GitHub username].github.io/files/example.pdf.
  6. Check status by going to the repository settings, in the "GitHub pages" section
  7. (Optional) Use the Jupyter notebooks or python scripts in the markdown_generator folder to generate markdown files for publications and talks from a TSV file.

See more info at https://academicpages.github.io/

Running Locally

When you are initially working your website, it is very useful to be able to preview the changes locally before pushing them to GitHub. To work locally you will need to:

  1. Clone the repository and made updates as detailed above.

  2. Make sure you have ruby-dev, bundler, and nodejs installed

    On most Linux distribution and Windows Subsystem Linux the command is:

    sudo apt install ruby-dev ruby-bundler nodejs

    On MacOS the commands are:

    brew install ruby
    brew install node
    gem install bundler
  3. Run bundle install to install ruby dependencies. If you get errors, delete Gemfile.lock and try again.

  4. Run jekyll serve -l -H localhost to generate the HTML and serve it from localhost:4000 the local server will automatically rebuild and refresh the pages on change.

If you are running on Linux it may be necessary to install some additional dependencies prior to being able to run locally: sudo apt install build-essential gcc make

Maintenance

Bug reports and feature requests to the template should be submitted via GitHub. For questions concerning how to style the template, please feel free to start a new discussion on GitHub.

This repository was forked (then detached) by Stuart Geiger from the Minimal Mistakes Jekyll Theme, which is © 2016 Michael Rose and released under the MIT License (see LICENSE.md). It is currently being maintained by Robert Zupko and additional maintainers would be welcomed.

Bugfixes and enhancements

If you have bugfixes and enhancements that you would like to submit as a pull request, you will need to fork this repository as opposed to using it as a template. This will also allow you to synchronize your copy of template to your fork as well.

Unfortunately, one logistical issue with a template theme like Academic Pages that makes it a little tricky to get bug fixes and updates to the core theme. If you use this template and customize it, you will probably get merge conflicts if you attempt to synchronize. If you want to save your various .yml configuration files and markdown files, you can delete the repository and fork it again. Or you can manually patch.

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adarevd's Issues

分类器

您好,您的论文写的非常棒。我有一点困惑。您的分类器需要与清晰图片的patch计算PSNR,计算出从哪个解码器中退出。但是如果这个模型训练好之后,我随便拿一张模糊的图像进行去模糊的操作,我没有对应的清晰图像,这个如何做测试呢?如果您的代码中有写相关的部分,可以指出来吗?期待您的回答,谢谢谢谢。

inf

I am very grateful for such a good defuzzing framework for open source,

I would like to ask if there is a time-consuming indicator for the inference of the model? Is there an indicator of how fast I can reason on a generic video or image? Also, is there a script for reasoning general scenarios and daily scenes?

I would like to ask you if the model can be converted to onnx/trt inference? Used for deployment?

pretrain

您好,拜读了您的论文,感觉是非常好的工作。请问模型文件可以放到Google云盘上吗,百度网盘不太方便下载

Results.

Can u also upload HIDE dataset Results for Motion Deblurring trained on GoPro Dataset. on Google Drive

关于Adaptive Classifier

  1. 在 README 中,您提到两个训练命令,一个是训练AdaRevD的主体,一个是训练classfier,请问如果我使用“训练AdaRevD的主体”的命令,如何才能在训练中完全不使用 Adaptive Classifier 这个模块呢?
  2. 在测试中,如何才能完全不使用 Adaptive Classifier 这个模块呢?
    很期待您的解答!

环境问题

basicsr/models/archs/UFPNet_code_uncertainty_arch.py,作者,您好!你这个文件是不是放错文件夹了,我直接默认运行会报错ModuleNotFoundErrorModuleNotFoundError: : No module named 'basicsr.models.archs.UFPNet_code_uncertainty_arch'No module named 'basicsr.models.archs.UFPNet_code_uncertainty_arch'

Results

Can you please provide your result images Gdrive link, i am unable to access the Baidu link you have provided in the repo, i need the Motion Deblurring (GoPro) trained on Gopro dataset and RealBlur J results trained on RealBlur J datasets

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