soifunc 0.1.0

Soichiro's VapourSynth Functions Collection

soifunc

Vapoursynth scripts that might be useful to someone

Installation

Arch Linux

Install from AUR

Other

First install the required plugins which are not available in pip:

• neo_f3kdb
• kagefunc
• muvsfunc
• mvsfunc
• znedi3
• nnedi3_resample
• BM3DCUDA

Install from pip:

pip install soifunc

Or the latest git version:

pip install git+https://github.com/shssoichiro/soifunc.git

Usage

Any of the functions will require an import soifunc prior to where they are used.

GoodResize

clip = soifunc.GoodResize(clip, 1920, 1080)

Resizes a clip to the specified dimensions using a high quality method.

For upscaling, luma is resized using nnedi3_resample.

For downscaling, luma is resized using SSIM_downsample.

Chroma is always resized using Spline36.

If this filter causes your video to produce a blank output, see this issue: https://github.com/HomeOfVapourSynthEvolution/VapourSynth-TCanny/issues/14

RetinexDeband

clip = soifunc.RetinexDeband(clip, threshold = 16 [, showmask = False])

High quality debanding using a retinex mask, designed to preserve details in both light and dark areas.

threshold controls debanding strength. 16 is a reasonable starting point. Increase as needed until satisfied.

showmask is an optional debugging parameter, setting this to True will output the mask that will be used to preserve edges.

Note that this debander does not automatically add grain. If you need to add grain before encoding, use kagefunc.adaptive_grain. If you're using AV1 grain synthesis, you do not need to add grain before encoding.

ClipLimited

clip = soifunc.ClipLimited(clip)

Compression introduces rounding errors and whatnot that can lead to some pixels in your source being outside the range of valid Limited range values. These are clamped to the valid range by the player on playback, but that means we can save a small amount of bitrate if we clamp them at encode time. This function does that.

Recommended to use at the very end of your filter chain, in the final encode bit depth.

BM3DCUDA Wrappers

See BM3DCUDA for list of args.

clip = soifunc.BM3DCPU(clip, ...args)

clip = soifunc.BM3DCuda(clip, ...args)

clip = soifunc.BM3DCuda_RTC(clip, ...args)

Provides wrappers around the accelerated BM3D functions in BM3DCUDA, similar to the wrapper provided for the base BM3D plugin in mvsfunc. These functions perform all necessary colorspace conversion, so they are considerably simpler to use than manually calling BM3DCuda.

MCDenoise

Applies motion compensation to a denoised clip to improve detail preservation. Credit to Clybius for creating this code.

Example usage:

import soifunc
import dfttest2
import functools    # functools is built in to python
denoiser = functools.partial(dfttest2.DFTTest, sigma=1.5, backend=dfttest2.Backend.CPU)
clip = soifunc.MCDenoise(clip, denoiser)

Params:

• denoiser: A function defining how to denoise the motion-compensated frames. Denoiser params can be added using functools.partial.
• prefilter: An optional prefiltered input clip to enable better searching for motion vectors