You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Failed to evaluate the script:
Python exception: vsmlrt.RIFEMerge: tile size must be divisible by 64 (192, 160)
Traceback (most recent call last):
File "src\\cython\\vapoursynth.pyx", line 3365, in vapoursynth._vpy_evaluate
File "src\\cython\\vapoursynth.pyx", line 3366, in vapoursynth._vpy_evaluate
File "C:\Users\admin\AppData\Local\Temp\tempPreviewVapoursynthFile11_44_02_151.vpy", line 63, in
clip = vsmlrt.RIFE(clip, multi=Fraction(2), model=426, backend=Backend.ORT_DML(fp16=False,device_id=0)) # new fps: 28.96
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:/Program Files/Hybrid/64bit/vs-mlrt/vsmlrt.py", line 1215, in RIFE
output0 = RIFEMerge(
^^^^^^^^^^
File "C:/Program Files/Hybrid/64bit/vs-mlrt/vsmlrt.py", line 1049, in RIFEMerge
raise ValueError(
ValueError: vsmlrt.RIFEMerge: tile size must be divisible by 64 (192, 160)
Latest Hybrid dev and vsmlrt addon. doe snot matter if I use Directml or TensorRT
Input file dimensions are realy small
Width : 176 pixels
Height : 144 pixels
rife 4.25 and lower doesnt have this problem with such small input dimensions.
The text was updated successfully, but these errors were encountered:
@zelenooki87
In order to temporarily fix the following error:
"Failed to evaluate the script:
Python exception: vsmlrt.RIFEMerge: tile size must be divisible by 64"
on the "v1" variants until the SVP developer updates their code, you can open
C:\Program Files (x86)\SVP 4\script\generate.js
and replace this:
var pw = Math.floor((media.dst_w-1)/32+1)*32 - media.dst_w;
var ph = Math.floor((media.dst_h-1)/32+1)*32 - media.dst_h;
with this:
var pw = Math.floor((media.dst_w-1)/64+1)*64 - media.dst_w;
var ph = Math.floor((media.dst_h-1)/64+1)*64 - media.dst_h;
Latest Hybrid dev and vsmlrt addon. doe snot matter if I use Directml or TensorRT
Input file dimensions are realy small
Width : 176 pixels
Height : 144 pixels
rife 4.25 and lower doesnt have this problem with such small input dimensions.
The text was updated successfully, but these errors were encountered: