Deoldify Vapoursynth filter

[Selur]

Calling:

clip = HAVC_main(clip=clip, EnableDeepEx=True, DeepExMethod=0, DeepExRefMerge=0, ScFrameDir=None, DeepExModel=0, DeepExEncMode=0, DeepExMaxMemFrames=0)

I get:

2024-10-03 08:04:35.046
F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\kornia\feature\lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
@torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)

F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\kornia\feature\lightglue.py:44: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead.
@torch.cuda.amp.custom_fwd(cast_inputs=torch.float32)

F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\deepex\models\vgg19_gray.py:130: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
model.load_state_dict(torch.load(vgg19_gray_path))

F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\deepex\models\vgg19_gray.py:130: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
model.load_state_dict(torch.load(vgg19_gray_path))

2024-10-03 08:04:48.902
Qt warning: QPixmap::scaled: Pixmap is a null pixmap
2024-10-03 08:04:53.714
Error on frame 0 request:

Traceback (most recent call last):
File "src\\cython\\vapoursynth.pyx", line 3216, in vapoursynth.publicFunction
File "src\\cython\\vapoursynth.pyx", line 3218, in vapoursynth.publicFunction
File "src\\cython\\vapoursynth.pyx", line 834, in vapoursynth.FuncData.__call__
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\__init__.py", line 234, in colormnet_client_color
img_color = colorizer.colorize_frame(ti=n, frame_i=img_orig)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\colormnet_client.py", line 62, in colorize_frame
return byte_array_to_image(frame_bytes)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\colormnet_utils.py", line 38, in byte_array_to_image
img = Image.open(stream).convert('RGB')
^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\PIL\Image.py", line 3305, in open
raise UnidentifiedImageError(msg)
PIL.UnidentifiedImageError: cannot identify image file

I suspect something might be missing in my setup.
Not sure what.

DOH, installed an older version of DeOlfidy.