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
• znedi3
• nnedi3_resample

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.

good_resize

clip = soifunc.good_resize(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

Additional Params:

• gpu: Whether to use the OpenCL version of supported dependencies. Defaults to auto-detect.

retinex_deband

clip = soifunc.retinex_deband(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 vsdeband.AddNoise. If you're using AV1 grain synthesis, you do not need to add grain before encoding.

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

MagicDenoise

Clybius's magic denoise function.

Uses dark magic to denoise heavy grain from videos. Zero parameters, only magic.

Params:

• clip: The input video to apply deinterlacing to
• gpu: Whether to use the OpenCL version of supported dependencies.