waifu2x (converter only version)
This is a reimplementation of waifu2x (original) converter function, in C++, using OpenCV.
This is also a reimplementation of waifu2x python version by Hector Martin.
You can use this as command-line tool of image noise reduction or/and scaling.
Prebuilt binary-form release
Please see releases of this repository.
There is only for-windows binary, now. Sorry.
works using waifu2x-converter
- waifu2x_win_koroshell
- waifu2x-converter GUI frontend that is easy to use, and so cute. You need only drag&drop to convert your image. (and also you can set converting mode, noise reduction level, scale ratio, etc..., on GUI)
- Both waifu2x-converter x86 and x64 are included this package, and GUI see your windows architecture(x86, x64) and selects automatically which to use.
- For windows only.
Dependencies
Platform
- Ubuntu
- Mac OS X?
- Windows
(This program probably can be built under MacOSX, because OpenCV and other libraries support OS X)
Libraries
- OpenCV(C++, version 3.0.0 rc1)
This programs also depends on libraries shown below, but these are already included in this repository.
CUDA Support in OpenCV is optional, since not required. (in version 1.0.0, CUDA Support is not used.)
How to build
for Ubuntu
Sorry, under construction...
These are hints for building :
- I recommend to install OpenCV from sources. (build instruction is found here)
- include path :
include/(/path/to/opencv/installed/directory)/include - library path :
(/path/to/opencv/installed/directory)/lib- if you have built and installed OpenCV from source, and have changed install directory(by using
CMAKE_INSTALL_PREFIX), you may need to set environment variableLD_LIBRARY_PATHfor your OpenCV installed directory.
- if you have built and installed OpenCV from source, and have changed install directory(by using
- libraries to link :
opencv_coreopencv_imgprocopencv_imgcodecsopencv_features2d - standard of C++ :
c++11
Usage
Usage of this program can be seen by executing this with --help option.
(My native language is not English, then I'm sorry for my broken English.)