Vapoursynth smooth resize

# Imports
import os
import sys
import vapoursynth as vs
# getting Vapoursynth core
core = vs.core
# Import scripts folder
scriptPath = 'I:/Hybrid/64bit/vsscripts'
sys.path.append(os.path.abspath(scriptPath))
# Loading Plugins
core.std.LoadPlugin(path="I:/Hybrid/64bit/vsfilters/ResizeFilter/nnedi3/NNEDI3CL.dll")
core.std.LoadPlugin(path="I:/Hybrid/64bit/vsfilters/Support/fmtconv.dll")
core.std.LoadPlugin(path="I:/Hybrid/64bit/vsfilters/SharpenFilter/CAS/CAS.dll")
core.std.LoadPlugin(path="I:/Hybrid/64bit/vsfilters/DeinterlaceFilter/TIVTC/libtivtc.dll")
core.std.LoadPlugin(path="I:/Hybrid/64bit/vsfilters/SourceFilter/DGDecNV/DGDecodeNV.dll")
# Import scripts
import edi_rpow2
# source: 'C:\Users\Selur\Desktop\SFE-Complete.demuxed.m2v'
# current color space: YUV420P8, bit depth: 8, resolution: 720x480, fps: 29.97, color matrix: 470bg, yuv luminance scale: limited, scanorder: telecine (soft)
# Loading C:\Users\Selur\Desktop\SFE-Complete.demuxed.m2v using DGSource
clip = core.dgdecodenv.DGSource("E:/Temp/m2v_640d95887baddb54af12f6963f913c88_853323747.dgi",fieldop=2)
# making sure input color matrix is set as 470bg
clip = core.resize.Point(clip, matrix_in_s="470bg",range_s="limited")
# making sure frame rate is set to 29.97
clip = core.std.AssumeFPS(clip=clip, fpsnum=30000, fpsden=1001)
# Setting color range to TV (limited) range.
clip = core.std.SetFrameProp(clip=clip, prop="_ColorRange", intval=1)
clip2clip = clip
# Deinterlacing using TIVTC
clip = core.tivtc.TFM(clip=clip, slow=2, clip2=clip2clip)

org = clip

# adjusting color space from YUV420P8 to RGBS for DPIR
clip = core.resize.Bicubic(clip=clip, format=vs.RGBS, matrix_in_s="470bg", range_s="limited")
from vsdpir import DPIR
# def DPIR(clip: vs.VideoNode, strength: float=None, task: str='denoise', device_type: str='cuda', device_index: int=0) -> vs.VideoNode:
#  DPIR: Deep Plug-and-Play Image Restoration
#  Parameters:
#   clip: Clip to process. Only planar format with float sample type of 32 bit depth is supported.
#   strength: Strength for deblocking or denoising. Must be greater than 0. Defaults to 50.0 for 'deblock' task, 5.0 for 'denoise' task.
#   task: Task to perform. Must be 'deblock' or 'denoise'.
#   device_type: Device type on which the tensor is allocated. Must be 'cuda' or 'cpu'.
#   device_index: Device ordinal for the device type.
clip = DPIR(clip=clip,task='denoise',strength=2)
clip = DPIR(clip=clip,task='deblock',strength=25)

# contrast sharpening using CAS
clip = core.cas.CAS(clip=clip, sharpness=0.8)

# resizing using NNEDI3CL
clip = edi_rpow2.nnedi3cl_rpow2(clip=clip, rfactor=4, nns=4, qual=1)
clip = core.fmtc.resample(clip=clip, w=1440, h=1080, kernel="lanczos", interlaced=False, interlacedd=False)

org = core.fmtc.resample(clip=org, w=1440, h=1080, kernel="lanczos", interlaced=False, interlacedd=False)

# adjusting output color from: RGBS to YUV420P10 for x265Model (i420@10)
clip = core.resize.Bicubic(clip=clip, format=vs.YUV420P10, matrix_s="470bg", range_s="limited")
org = core.resize.Bicubic(clip=org, format=vs.YUV420P10)

clip = core.sub.Subtitle(clip=clip, text='filtered')
org = core.sub.Subtitle(clip=org, text='original')

clip = core.std.StackHorizontal([org,clip])
# Output
clip.set_output()