A woman like Eve

import vapoursynth as vs
import fvsfunc as fvf
import vsutil
import functools
import adptvgrnMod as adp
import rekt as rk
import kagefunc as kgf
import awsmfunc as awf
core = vs.get_core()

path=r'D:\Sync\A_WOMAN_LIKE_EVE_BD\BDMV\STREAM\00000.m2ts'
video=core.lsmas.LWLibavSource(path)
video=core.std.CropRel(video,left=60,top=0,right=60,bottom=0)
video=core.resize.Spline36(video, width=1200, height=720,dither_type='error_diffusion')
v1=v3=video
video=core.bilateral.Bilateral(video,sigmaS=3.0,sigmaR=0.02,algorithm=0)
video=core.std.ShufflePlanes(video, planes=[0], colorfamily=vs.GRAY)
video=vsutil.depth(video,16)
v2=vsutil.depth(v1,16)
#Fixing dirty lines
cf=core.edgefixer.ContinuityFixer(v2, left=4, top=0, right=6, bottom=0, radius=15)
v2=core.std.Merge(v2,cf,[0,1])
v2=rk.rektlvls(v2,rownum=None, rowval=None, colnum=[3,1195,1196],colval=[-5,2,2], prot_val=20).fb.FillBorders(2,1,2,1,mode="fillmargins")
video=core.bilateral.Bilateral(video,sigmaS=3.0,sigmaR=0.02,algorithm=0)#Getting rid of noise at the same time preserving details because of uneven noise hence chose bilateral before preparing our edgemask.
#5*5 Sobel in horizontal and vertical direction respectively. This is the most accurate approximation of Sobel edgemask. More on here https://stackoverflow.com/questions/9567882/sobel-filter-kernel-of-large-size/41065243#41065243
sobelx=core.std.Convolution(video,[-5,-4,0,4,5,-8,-10,0,10,8,-10,-20,0,20,10,-8,-10,0,10,8,-5,-4,0,4,5])
sobely=core.std.Convolution(video,[-5,-8,-10,-8,-5,-4,-10,-20,-10,-4,0,0,0,0,0,4,10,20,10,4,5,8,10,8,5])
src=core.std.Expr([sobelx,sobely],'x dup * y dup * + sqrt')
ret=core.retinex.MSRCP(video, sigma=[50, 200, 350], upper_thr=0.005)
canny=core.tcanny.TCanny(ret,mode=1,sigma=1).std.Minimum(coordinates=[1, 0, 1, 0, 0, 1, 0, 1])
max_value=(1 << video.format.bits_per_sample) - 1
mask=core.std.Expr([src,canny],f'x y + {max_value} min').std.Expr('x 32767 >= 65535 0 ?')
deband=core.neo_f3kdb.Deband(v2, y=120, cb=32, cr=32, range=31, grainy=32,grainc=0, output_depth=16, keep_tv_range=True)
grain=adp.adptvgrnMod(deband, strength=2.5, size=1.25, sharp=35, static=False,luma_scaling=3, grain_chroma=False)
v2=core.std.MaskedMerge(grain,v2,mask)
v2=vsutil.depth(v2,8,dither_type='error_diffusion')
#0-1330 44365-45192 77587-82046 89196-89865 112289 133569-133738
v1=fvf.rfs(v1,v2,"[0 9949][67752 71379][44365 45192][55492 62573][77587 82046][89196 89865][133569 133738]")
#v1= awf.SelectRangeEvery(v1, every=15000, length=250, offset=[1000, 5000])
v1.set_output()