BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
Ported from https://github.com/xinntao/BasicSR
torchvision and torchaudio are not required and hence can be omitted from the command.pip install --upgrade vsbasicvsr
from vsbasicvsr import BasicVSR
ret = BasicVSR(clip)
See __init__.py for the description of the parameters.
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# Imports
import vapoursynth as vs
# getting Vapoursynth core
core = vs.core
# Loading Plugins
core.std.LoadPlugin(path="I:/Hybrid/64bit/vsfilters/Support/fmtconv.dll")
core.std.LoadPlugin(path="I:/Hybrid/64bit/vsfilters/SourceFilter/vsrawsource/vsrawsource.dll")
# source: 'C:\Users\Selur\Desktop\stefan_sif.y4m'
# current color space: YUV420P8, bit depth: 8, resolution: 352x240, fps: 29.97, color matrix: 470bg, yuv luminance scale: full, scanorder: progressive
# Loading C:\Users\Selur\Desktop\stefan_sif.y4m using RawsSource
clip = core.raws.Source("C:/Users/Selur/Desktop/stefan_sif.y4m")
# making sure input color matrix is set as 470bg
clip = core.resize.Bicubic(clip, matrix_in_s="470bg",range_s="full")
# making sure frame rate is set to 29.970
clip = core.std.AssumeFPS(clip=clip, fpsnum=30000, fpsden=1001)
# Setting color range to PC (full) range.
clip = core.std.SetFrameProp(clip=clip, prop="_ColorRange", intval=0)
# adjusting color space from YUV420P8 to RGBS for vsBasicVSR
clip = core.resize.Bicubic(clip=clip, format=vs.RGBS, matrix_in_s="470bg", range_s="full")
# resizing using BasicVSR
from vsbasicvsr import BasicVSR
clip = BasicVSR(clip=clip, radius=15, device_type="cuda", tile=2)
# adjusting resizing to hit target resolution
clip = core.fmtc.resample(clip=clip, w=1280, h=874, kernel="lanczos", interlaced=False, interlacedd=False)
# adjusting output color from: RGB48 to YUV420P10 for x265Model
clip = core.resize.Bicubic(clip=clip, format=vs.YUV420P10, matrix_s="470bg", range_s="full")
# set output frame rate to 29.970fps
clip = core.std.AssumeFPS(clip=clip, fpsnum=30000, fpsden=1001)
# Output
clip.set_output()
gives me
Input and output sizes should be greater than 0, but got input (H: 0, W: 0) output (H: 0, W: 0)
without the tile=2, it works.
fp16 parameter.tile parameter to tile_x and tile_y.👏 Pre- requisites to Machine Learning
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