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.

• http://int.main.jp/files/waifu2x-converter_x64_1130.zip
• http://int.main.jp/files/waifu2x-converter_x86_1130.zip

• 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.

• Ubuntu
• Mac OS X?
• Windows

(This program probably can be built under MacOSX, because OpenCV and other libraries support OS X)

• 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.)

• picojson
• TCLAP(Templatized C++ Command Line Parser Library)

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 variable LD_LIBRARY_PATH for your OpenCV installed directory.
• libraries to link : opencv_core opencv_imgproc opencv_imgcodecs opencv_features2d
• standard of C++ : c++11

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.)

• Added CUDA, OpenCL(AMD GPU), x86 FMA, x86 AVX Support (That is selected automatically at runtime)
• OpenCL(AMD GPU) version achieves 40% of peak performance (291GFLOPS @ A10-7850K)
• Added CMakeLists.txt
• You can build it by cmake ($ cmake -D OPENCV_PREFIX=<OpenCV include/lib dir>)
• DLL interface
• You can use waifu2x as library. include w2xconv.h & link w2xc.lib.