ncnn implementation of SRMD super resolution.
srmd-ncnn-vulkan uses ncnn project as the universal neural network inference framework.
Download Windows/Linux/MacOS Executable for Intel/AMD/Nvidia GPU
https://github.com/nihui/srmd-ncnn-vulkan/releases
This package includes all the binaries and models required. It is portable, so no CUDA or Caffe runtime environment is needed :)
srmd-ncnn-vulkan.exe -i input.jpg -o output.png -n 3 -s 2
Usage: srmd-ncnn-vulkan -i infile -o outfile [options]...
-h show this help
-v verbose output
-i input-path input image path (jpg/png/webp) or directory
-o output-path output image path (jpg/png/webp) or directory
-n noise-level denoise level (-1/0/1/2/3/4/5/6/7/8/9/10, default=3)
-s scale upscale ratio (2/3/4, default=2)
-t tile-size tile size (>=32/0=auto, default=0) can be 0,0,0 for multi-gpu
-m model-path srmd model path (default=models-srmd)
-g gpu-id gpu device to use (default=0) can be 0,1,2 for multi-gpu
-j load:proc:save thread count for load/proc/save (default=1:2:2) can be 1:2,2,2:2 for multi-gpu
-x enable tta mode
-f format output image format (jpg/png/webp, default=ext/png)
input-path
andoutput-path
accept either file path or directory pathnoise-level
= noise level, large value means strong denoise effect, -1 = no effectscale
= scale level, 2 = upscale 2x, 3 = upscale 3x, 4 = upscale 4xtile-size
= tile size, use smaller value to reduce GPU memory usage, default selects automaticallyload:proc:save
= thread count for the three stages (image decoding waifu2x upscaling image encoding), using larger values may increase GPU usage and consume more GPU memory. You can tune this configuration with "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, try increasing thread count to achieve faster processing.format
= the format of the image to be output, png is better supported, however webp generally yields smaller file sizes, both are losslessly encoded
If you encounter a crash or error, try upgrading 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
convert origin.jpg -resize 400% output.png
waifu2x-ncnn-vulkan.exe -i origin.jpg -o 2x.png -s 2 -m models-upconv_7_photo
waifu2x-ncnn-vulkan.exe -i 2x.png -o 4x.png -s 2 -m models-upconv_7_photo
srmd-ncnn-vulkan.exe -i origin.jpg -o output.png -n 3 -s 4
- https://github.com/Tencent/ncnn for fast neural network inference on ALL PLATFORMS
- https://github.com/webmproject/libwebp for encoding and decoding Webp images on ALL PLATFORMS
- 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