waifu2x ncnn Vulkan

ncnn implementation of waifu2x converter. Runs fast on Intel / AMD / Nvidia with Vulkan API.

waifu2x-ncnn-vulkan uses ncnn project as the universal neural network inference framework.

Download

Download Windows Executable for Intel/AMD/Nvidia GPU

https://github.com/nihui/waifu2x-ncnn-vulkan/releases

This package includes all the binaries and models required. It is portable, so no CUDA or Caffe runtime environment is needed :)

Usages

Example Command

waifu2x-ncnn-vulkan.exe -i input.jpg -o output.png -n 2 -s 2

Full Usages

Usage: waifu2x-ncnn-vulkan -i infile -o outfile [options]...

  -h                   show this help
  -v                   verbose output
  -i input-path        input image path (jpg/png) or directory
  -o output-path       output image path (png) or directory
  -n noise-level       denoise level (-1/0/1/2/3, default=0)
  -s scale             upscale ratio (1/2, default=2)
  -t tile-size         tile size (>=32, default=400)
  -m model-path        waifu2x model path (default=models-cunet)
  -g gpu-id            gpu device to use (default=0)
  -j load:proc:save    thread count for load/proc/save (default=1:2:2)
  -x                   enable tta mode

input-path and output-path accept either file path or directory path
noise-level = noise level, large value means strong denoise effect, -1=no effect
scale = scale level, 1=no scale, 2=upscale 2x
tile-size = tile size, use smaller value to reduce GPU memory usage, default is 400
load:proc:save = thread count for the three stages (image decoding + waifu2x upscaling + image encoding), use larger value may increase GPU utility and consume more GPU memory. You can tune this configuration as "4:4:4" for many small-size images, and "2:2:2" for large-size images. The default setting usually works fine for most situations. If you find that your GPU is hungry, do increase thread count to achieve faster processing.

If you encounter crash or error, try to upgrade your GPU driver

Intel: https://downloadcenter.intel.com/product/80939/Graphics-Drivers
AMD: https://www.amd.com/en/support
NVIDIA: https://www.nvidia.com/Download/index.aspx

Speed Comparison with waifu2x-caffe-cui

Environment

Windows 10 1809
AMD R7-1700
Nvidia GTX-1070
Nvidia driver 419.67
CUDA 10.1.105
cuDNN 10.1

Measure-Command { waifu2x-ncnn-vulkan.exe -i input.png -o output.png -n 2 -s 2 -t [block size] -m [model dir] }

Measure-Command { waifu2x-caffe-cui.exe -t 0 --gpu 0 -b 1 -c [block size] -p cudnn --model_dir [model dir] -s 2 -n 2 -m noise_scale -i input.png -o output.png }

cunet

	Image Size	Target Size	Block Size	Total Time(s)	GPU Memory(MB)
waifu2x-ncnn-vulkan	200x200	400x400	400/200/100	0.86/0.86/0.82	638/638/197
waifu2x-caffe-cui	200x200	400x400	400/200/100	2.54/2.39/2.36	3017/936/843
waifu2x-ncnn-vulkan	400x400	800x800	400/200/100	1.17/1.04/1.02	2430/638/197
waifu2x-caffe-cui	400x400	800x800	400/200/100	2.91/2.43/2.7	3202/1389/1178
waifu2x-ncnn-vulkan	1000x1000	2000x2000	400/200/100	2.35/2.26/2.46	2430/638/197
waifu2x-caffe-cui	1000x1000	2000x2000	400/200/100	4.04/3.79/4.35	3258/1582/1175
waifu2x-ncnn-vulkan	2000x2000	4000x4000	400/200/100	6.46/6.59/7.49	2430/686/213
waifu2x-caffe-cui	2000x2000	4000x4000	400/200/100	7.01/7.54/10.11	3258/1499/1200
waifu2x-ncnn-vulkan	4000x4000	8000x8000	400/200/100	22.78/23.78/27.61	2448/654/213
waifu2x-caffe-cui	4000x4000	8000x8000	400/200/100	18.45/21.85/31.82	3325/1652/1236

upconv_7_anime_style_art_rgb

	Image Size	Target Size	Block Size	Total Time(s)	GPU Memory(MB)
waifu2x-ncnn-vulkan	200x200	400x400	400/200/100	0.74/0.75/0.72	482/482/142
waifu2x-caffe-cui	200x200	400x400	400/200/100	2.04/1.99/1.99	995/546/459
waifu2x-ncnn-vulkan	400x400	800x800	400/200/100	0.95/0.83/0.81	1762/482/142
waifu2x-caffe-cui	400x400	800x800	400/200/100	2.08/2.12/2.11	995/546/459
waifu2x-ncnn-vulkan	1000x1000	2000x2000	400/200/100	1.52/1.41/1.44	1778/482/142
waifu2x-caffe-cui	1000x1000	2000x2000	400/200/100	2.72/2.60/2.68	1015/570/459
waifu2x-ncnn-vulkan	2000x2000	4000x4000	400/200/100	3.45/3.42/3.63	1778/482/142
waifu2x-caffe-cui	2000x2000	4000x4000	400/200/100	3.90/4.01/4.35	1015/521/462
waifu2x-ncnn-vulkan	4000x4000	8000x8000	400/200/100	11.16/11.29/12.07	1796/498/158
waifu2x-caffe-cui	4000x4000	8000x8000	400/200/100	9.24/9.81/11.16	995/546/436

Sample Images

Original Image

Upscale 2x with ImageMagick

convert origin.jpg -resize 200% output.png

Upscale 2x with ImageMagick Lanczo4 Filter

convert origin.jpg -filter Lanczos -resize 200% output.png

Upscale 2x with waifu2x noise=2 scale=2

waifu2x-ncnn-vulkan.exe -i origin.jpg -o output.png -n 2 -s 2

Original waifu2x Project

ncnn Project (>=20190712)

https://github.com/Tencent/ncnn/tree/8c537069875a28d5380c6bdcbf7964d73803b7b3

Other Open-Source Code Used

https://github.com/nothings/stb for decoding and encoding image on Linux / MacOS
https://github.com/tronkko/dirent for listing files in directory on Windows

sat3ll / waifu2x-ncnn-vulkan Goto Github PK

waifu2x-ncnn-vulkan's Introduction