Package Details: waifu2x-caffe v1.1.1-6

Git Clone URL: https://aur.archlinux.org/waifu2x-caffe.git (read-only, click to copy)
Package Base: waifu2x-caffe
Description: Image rescaling and noise reduction using the power of convolutional neural networks. Rewritten from the original Waifu2x using Caffe. Compiled with CUDA & cuDNN enabled flags.
Upstream URL: https://github.com/Gin-no-kami/waifu2x-caffe
Licenses: MIT
Conflicts: waifu2x-caffe
Provides: waifu2x-caffe
Submitter: ginnokami
Maintainer: ginnokami
Last Packager: ginnokami
Votes: 3
Popularity: 0.33
First Submitted: 2021-04-18 23:44 (UTC)
Last Updated: 2023-01-29 12:08 (UTC)

Pinned Comments

ginnokami commented on 2021-04-18 23:47 (UTC)

This package provides the cli version of waifu2x-caffe. A readme for all of the flags is located in /usr/share/docs/waifu2x-caffe/README. The models are located at /usr/share/waifu2x-caffe/models.

Latest Comments

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ginnokami commented on 2023-01-29 12:05 (UTC)

@lurkingaround This happens because that library (which is linked against when compiling waifu2x) got updated. When this happens you will need to rebuild waifu2x. I will try to update the package rel when I notice it happening, but if you notice before I do just make a comment like you did and just rebuild for the meantime.

lurkingaround commented on 2023-01-29 06:25 (UTC) (edited on 2023-01-29 06:26 (UTC) by lurkingaround)

Getting this error.

waifu2x-caffe: error while loading shared libraries: libboost_filesystem.so.1.80.0: cannot open shared object file: No such file or directory

ginnokami commented on 2022-07-28 13:55 (UTC)

@lurkingaround I am able to build this in a chroot. So I believe you have somehow configured your path so that CMake can't find CUDA.

ginnokami commented on 2022-07-28 13:54 (UTC)

pkgrel-4 has changes only to the PKGBUILD: @Berunkeo - Git statements now use https. If you use paru you may need to blow away your cache, when I was building during testing I was getting a "not a git clone of" until I did this.

Also updated the make statements to use the user specified MAKEFLAGS instead of nprocs.

lurkingaround commented on 2022-07-23 09:44 (UTC)

Getting this error when I try to install it.

CMake Error at /usr/share/cmake/Modules/CMakeDetermineCUDACompiler.cmake:180 (message):
  Failed to find nvcc.

  Compiler requires the CUDA toolkit.  Please set the CUDAToolkit_ROOT
  variable.
Call Stack (most recent call first):
  caffe/CMakeLists.txt:18 (project)


-- Configuring incomplete, errors occurred!
See also "/home/metabox/.cache/yay/waifu2x-caffe/src/build/CMakeFiles/CMakeOutput.log".
See also "/home/metabox/.cache/yay/waifu2x-caffe/src/build/CMakeFiles/CMakeError.log".
==> ERROR: A failure occurred in prepare().
    Aborting...

Beruneko commented on 2022-03-28 22:32 (UTC)

Because of Safety measures by Github, please set git to use https protocol and overwrite the insecure git:// protocol in the PKGBUILD by running git config --global url."https://".insteadOf git:// or change the PKGBUILD directly.

Waiting for a fix by the maintainer~ ouo

ginnokami commented on 2022-03-01 11:27 (UTC) (edited on 2022-03-03 13:23 (UTC) by ginnokami)

@sommio Feel free to alter the PKGBUILD to have the older versions of cuda and cudnn on your local system. Once you have cloned this repository, make the necessary changes by updating the fields in the depends section to the older versions. Then you can commit that change to your local git repo. What this will do is allow for any changes in the future to be merged with the changes you added and you may not need to make them every time I release an update.

If the older versions work let me know.

sommio commented on 2022-03-01 03:27 (UTC)

Not only is this compatible with older nvidia gpu's, but caffe has higher performance in cudnn7 than cudnn8!