WolframRhodium

# Parameters
input = YUV420P16
# matrix = "709"
matrix = mvf.GetMatrix(input, matrix, True)

process_y = True
sigma_y = 2.0
basic_y_args = dict(profile="fast", group_size=8, bm_range=6)

process_uv = False

WolframRhodium

import numpy as np
import scipy as sp
from scipy import misc
import sympy as sym
import math

# Helper functions

# https://en.wikipedia.org/wiki/Norm_(mathematics)
def calculate_error(diff, norm=0):

WolframRhodium

Muonium

章节

1. KNLMeansCL 参数介绍
2. 从Sobel算子到ringmask2()
3. iterLineDarken —— 一种新型迭代式线条加深方法
4. 两种新式图像结构迁移方法
5. MinBlurMod —— 一种新式去点状晕轮方法

WolframRhodium

{
  "nodes": [
    {
      "op": "null", 
      "name": "data", 
      "inputs": []
    }, 
    {
      "op": "_plus_scalar", 
      "name": "_plusscalar0", 

WolframRhodium

Environment:

Intel Core i7-6700HQ @ 2.60GHz, 8 GB DDR4-2133 x2,

Windows 10 1809, VapourSynth R44 64bit, fmtconv r20(CRC: 6EEDD665)

Result:

Input dimensions	Output dimensions	Format	Backend	FPS

WolframRhodium

fmtconv	equivalent	remarks
impulse=[1, 1, 1], fv=-1, fh=-1	std.Convolution([1]*9) or rgvs.RemoveGrain(20)	Radius=1 box filtering. fv and fh are required to force the processing.
scale=1/2, kernel='box'	scale=1/2, kernel='impulse', impulse=[1]*3, kovrspl=3	Box downscaling with a factor of 2
scale=1/4, kernel='box'	scale=1/4, kernel='impulse', impulse=[1]*5, kovrspl=5	Box downscaling with a factor of 4
scale=1/2, kernel='bilinear'	scale=1/2, impulse=[0.5, 1, 0.5], kovrspl=2	Bilinear downscaling with a factor of 2
scale=1/3, kernel='bilinear'	scale=1/3, impulse=[0.5, 1, 0.5], kovrspl=2	Bilinear downscaling with a factor of 3
scale=1/4, kernel='bilinear'	scale=1/4, impulse=[0.5, 1, 0.5], kovrspl=2	Bilinear downscaling with a factor of 4

WolframRhodium

Official implementation based on Chainer (requires CUDA)

from vapoursynth import core
import chainer
# chainer.global_config.cudnn_deterministic = False

from vs_wadiqam_chainer import wadiqam_fr, wadiqam_nr


model_folder_path = "deepIQA-master\models" # path to the folder that contains model's parameter files

WolframRhodium

import vapoursynth as vs
from vapoursynth import core as _vscore

class _Plugin:
    def __init__(self, namespace):
        self.__dict__.update((name, getattr(namespace, name)) for name in dir(namespace)) # func_name : func

class _Core:
    def __init__(self):
        self.__dict__.update((name, get_plugin(name)) for name in dir(_vscore)) # (namespace : (func_name : func)) or (attr_name : attr)