Fast waifu2x converter with GPU optimization. Using OpenCL.
- Linux with OpenCL
- macOS with OpenCL
- Windows with OpenCL
- You can download this program from here.
$ make$ make- Installing OpenCL
- nVidia: https://developer.nvidia.com/cuda-downloads
- AMD: http://developer.amd.com/tools/hc/AMDAPPSDK/downloads/Pages/default.aspx
- Intel: Intel SDK for OpenCL
- Including OpenCL in the Project
- In the ‘Additional Include Directories’ field in ‘VC++ Directories’ add the following information depending on your graphics card.
- nVidia: - “$(CUDA_INC_PATH)”
- AMD: - “$(AMDAPPSDKROOT)\include”
- Intel: - “C:\Intel\OpenCL\sdk\include”
- Linking OpenCL
- Choose ‘Linker-> General’.
- In the ‘Additional Dependencies’ field enter the following, again this is based on your card vendor.
- nVidia: - “$(CUDA_LIB_PATH)”
- AMD: - “$(AMDAPPSDKROOT)\lib\x86” (for 64 bit users you may need to change the x86 to x86_64)
- Intel: - “C:\Intel\OpenCL\sdk\lib\x86” (for 64 bit users you may need to change the x86 to x64)
- Still in the ‘Linker’ submenu, select ‘Input’.
- In the ‘Additional Dependencies’ field click on the arrow that appears at the end of the field and choose Edit…
- In the dialog that appears enter “OpenCL.lib”
$ ./waifu2x_ocl -h
Usage: ./waifu2x_ocl [options] file
Options:
-h Print this message
-m <model name> waifu2x model name [noise2_model.json...]
-s <scale> Magnification [1.0, 1.6, 2.0...]
-o <output name> output file name [*.png, *.jpg]
$ ./waifu2x_ocl -s 1.0 nyanko.jpg
$ ./waifu2x_ocl -m vgg_7/art_y/noise3_model.json nyanko.jpg
$ ./waifu2x_ocl 001_200x.jpg
001_200x.jpg 200x199 3
wsize:287136
AMD Radeon HD 7800 Series (TAHITI / DRM 3.23.0 / 4.16.11-berry, LLVM 6.0.0) (platform 0, device 0)
Maximum memory allocation size is 2254046412 bytes
200 199 -> 416 414 *2.000000
0 0
159 0
0 157
159 157
- ./waifu2x_ocl -s 2.0 -m noise3_model.json waifu_s.jpg -o waifu_d.png
