An easy to use vapoursynth plugin to compute SSIMU2 (SSIMULACRA2) from libjxl or Butteraugli from libjxl on GPU with the exception that it uses a real gaussian blur and not a recursive gaussian blur.
Butteraugli Source Code : https://github.com/libjxl/libjxl/tree/main/lib/jxl/butteraugli Ssimulacra2 Source Code : https://github.com/cloudinary/ssimulacra2
To retrieve ssimu2 score between two video Nodes
result = clip1.vship.SSIMULACRA2(clip2)
res = [fr.props["_SSIMULACRA2"] for fr in result.frames()]
To retrieve Butteraugli score
result = clip1.vship.BUTTERAUGLI(clip2)
res = [[fr.props["_BUTTERAUGLI_2Norm"], fr.props["_BUTTERAUGLI_3Norm"], fr.props["_BUTTERAUGLI_INFNorm"]] for fr in result.frames()]
you can check "simpleExample.vpy" inside VshipUsageScript to get more details about how to use Vship
If you encounter VRAM issue, set a lower vs.core.num_threads (4 is usually the good compromise for speed)
the exact vram formula per active vsthread is: ssimu2: 24 (plane buffer) * 4 (size of float) * width * height * 4/3
butteraugli: 34 (plane buffer) * 4 (size of float) * width * height
Warning: it is compiled for the specific gpu used to compile by default
(same for windows and linux) you need
- make
- hipcc or nvcc
- vapoursynth
for nvidia cards:
make buildcuda
for amd cards:
make build
to install: either use the dll or:
make install
