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+--- Thread: Deoldify Vapoursynth filter (/thread-3595.html)
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RE: Deoldify Vapoursynth filter - Dan64 - 15.02.2025
I am not totally against changes in the GUI if they are functional and improve the use of the filter, which is very complex to use.
I understand that HAVC 5.0 has introduced a number of significant changes and the GUI has already been totally changed since version 4.8.
I hope that a situation of stability can be achieved with the next release of the GUI.
Dan
RE: Deoldify Vapoursynth filter - Dan64 - 22.02.2025
Released new version v5.0.4
This is a maintenance release.
As usual it can be installed with the command
.\python -m pip install https://github.com/dan64/vs-deoldify/releases/download/v5.0.4/vsdeoldify-5.0.4-py3-none-any.whlThis version has not impact on the GUI.
I released this version because using the new model DeepRemaster I experienced the following problems:
- Flickering
- Inability to apply colors correctly in dark scenes
- Inability to apply colors correctly both in bright and dark scenes
I was really surprised by problem #1, because was unexpected, I attached a sample to show it, fortunately are available filters to fix it, while the problems #2 and #3 were expected.
To fix the problem #2 I used the API function: HAVC_merge, while to fix the problem #3 I had to write a new API function called: HAVC_recover_clip_color.
I updated the user guide, with the following chapters:
- 3.5.2 Using Deep-Exemplar to speed-up the encoding (interesting, worth reading)
- 4.3.1 Fixing DeepRemaster problems (where are described in more details the solutions on the DeepRemaster problems)
P.S.
An example of movie colored using the fix described is the following: Fort Apache (1948)
Dan
RE: Deoldify Vapoursynth filter - Selur - 22.02.2025
thx for the info
Will update the torch add-on tomorrow, mostly afk. today.
Just realized, I got a bit of time => will update torch add-on (should be up in ~1hr)
RE: Deoldify Vapoursynth filter - Dan64 - 16.03.2025
vs-deoldify with CUDA 12.8
I was able to get vs-deoldify working with CUDA 12.8 as explained in post: #11
To get "colormnet" working is necessary to recompile "Pytorch-Correlation-extension".
To get "Pytorch-Correlation-extension" working is necessary to set the following environment variable (where has been added the compute capability of RTX 50 series: 12.0)
TORCH_CUDA_ARCH_LIST=8.0 8.6 9.0 12.0I attached the updated instruction for compiling Pytorch-Correlation-extension with CUDA 12.8 and the working wheel build.
Dan
P.S.
see: matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards
RE: Deoldify Vapoursynth filter - Selur - 25.03.2025
In the other thread you mentioned that you installed:
tensorrt-10.9.0.34
tensorrt_cu12-10.9.0.34
tensorrt_cu12_libs-10.9.0.34
tensorrt_cu12_bindings-10.9.0.34
torch_tensorrt-2.7.0.dev20250316+cu128
torch-2.8.0.dev20250314+cu128
torchaudio-2.6.0.dev20250315+cu128
torchvision-0.22.0.dev20250315+cu128python -m pip install -U packaging setuptools wheel
python -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu128
python -m pip install opencv-contrib-python
python -m pip install --no-deps --pre -U torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu128python -m pip install tensorrt==10.9.0.34steps I did: https://pastebin.com/MgpZtW0F
Cu Selur
RE: Deoldify Vapoursynth filter - Dan64 - 25.03.2025
To install tensorrt I used the following command
.\python -m pip install --pre torch-tensorrt --index-url https://download.pytorch.org/whl/nightly/cu128But the nightly version can change every day. To download a specific version you can use the command
.\python -m pip install https://download.pytorch.org/whl/nightly/cu128/torch_tensorrt-2.7.0.dev20250316%2Bcu128-cp312-cp312-win_amd64.whlEDIT: before updating torch_tensorrt I run also the command
.\python -m pip install --upgrade torch-tensorrtbut I was not happy with the the torch-tensorrt version installed and then I run the command
.\python -m pip install https://download.pytorch.org/whl/nightly/cu128/torch_tensorrt-2.7.0.dev20250316%2Bcu128-cp312-cp312-win_amd64.whlRE: Deoldify Vapoursynth filter - Selur - 26.03.2025
Sadly none of those, works.
=> so 5000x users will have to figure this out on their own.
maybe modifying the existing setup and not creating a new one works
no,
python -m pip install --upgrade torch-tensorrt
Requirement already satisfied: torch-tensorrt in f:\hybrid\64bit\vapoursynth\lib\site-packages (2.7.0.dev20250325+cu128)
Requirement already satisfied: torch<2.9.0,>=2.8.0.dev in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch-tensorrt) (2.8.0.dev20250323+cu128)
Requirement already satisfied: tensorrt<10.10.0,>=10.9.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch-tensorrt) (10.9.0.34)
Collecting tensorrt-cu12<10.10.0,>=10.9.0 (from torch-tensorrt)
Using cached tensorrt_cu12-10.9.0.34.tar.gz (18 kB)
Preparing metadata (setup.py) ... done
Collecting tensorrt-cu12-bindings<10.10.0,>=10.9.0 (from torch-tensorrt)
Downloading tensorrt_cu12_bindings-10.9.0.34-cp312-none-win_amd64.whl.metadata (606 bytes)
Collecting tensorrt-cu12-libs<10.10.0,>=10.9.0 (from torch-tensorrt)
Using cached tensorrt_cu12_libs-10.9.0.34.tar.gz (704 bytes)
Installing build dependencies ... done
Getting requirements to build wheel ... done
Collecting tensorrt-cu12-libs<10.10.0,>=10.9.0 (from torch-tensorrt)
Using cached tensorrt_cu12_libs-10.9.0.34.tar.gz (704 bytes)
Installing build dependencies ... done
Getting requirements to build wheel ... done
ERROR: Exception:
Traceback (most recent call last):
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\cli\base_command.py", line 106, in _run_wrapper
status = _inner_run()
^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\cli\base_command.py", line 97, in _inner_run
return self.run(options, args)
^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\cli\req_command.py", line 67, in wrapper
return func(self, options, args)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\commands\install.py", line 386, in run
requirement_set = resolver.resolve(
^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\resolution\resolvelib\resolver.py", line 95, in resolve
result = self._result = resolver.resolve(
^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 546, in resolve
state = resolution.resolve(requirements, max_rounds=max_rounds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 427, in resolve
failure_causes = self._attempt_to_pin_criterion(name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 239, in _attempt_to_pin_criterion
criteria = self._get_updated_criteria(candidate)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 230, in _get_updated_criteria
self._add_to_criteria(criteria, requirement, parent=candidate)
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_vendor\resolvelib\resolvers.py", line 173, in _add_to_criteria
if not criterion.candidates:
^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_vendor\resolvelib\structs.py", line 156, in __bool__
return bool(self._sequence)
^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 174, in __bool__
return any(self)
^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 162, in <genexpr>
return (c for c in iterator if id(c) not in self._incompatible_ids)
^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\resolution\resolvelib\found_candidates.py", line 53, in _iter_built
candidate = func()
^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\resolution\resolvelib\factory.py", line 187, in _make_candidate_from_link
base: Optional[BaseCandidate] = self._make_base_candidate_from_link(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\resolution\resolvelib\factory.py", line 233, in _make_base_candidate_from_link
self._link_candidate_cache[link] = LinkCandidate(
^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 304, in __init__
super().__init__(
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 159, in __init__
self.dist = self._prepare()
^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 236, in _prepare
dist = self._prepare_distribution()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\resolution\resolvelib\candidates.py", line 315, in _prepare_distribution
return preparer.prepare_linked_requirement(self._ireq, parallel_builds=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\operations\prepare.py", line 527, in prepare_linked_requirement
return self._prepare_linked_requirement(req, parallel_builds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\operations\prepare.py", line 642, in _prepare_linked_requirement
dist = _get_prepared_distribution(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\operations\prepare.py", line 72, in _get_prepared_distribution
abstract_dist.prepare_distribution_metadata(
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\distributions\sdist.py", line 56, in prepare_distribution_metadata
self._install_build_reqs(finder)
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\distributions\sdist.py", line 126, in _install_build_reqs
build_reqs = self._get_build_requires_wheel()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\distributions\sdist.py", line 103, in _get_build_requires_wheel
return backend.get_requires_for_build_wheel()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_internal\utils\misc.py", line 702, in get_requires_for_build_wheel
return super().get_requires_for_build_wheel(config_settings=cs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_vendor\pyproject_hooks\_impl.py", line 196, in get_requires_for_build_wheel
return self._call_hook(
^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\pip\_vendor\pyproject_hooks\_impl.py", line 402, in _call_hook
raise BackendUnavailable(
pip._vendor.pyproject_hooks._impl.BackendUnavailable: Cannot import 'wheel_stub.buildapi'Might have got it working with:
python -m pip install tensorrt==10.9.0.34 tensorrt-cu12_bindings==10.9.0.34 tensorrt-cu12_libs==10.9.0.34 --extra-index-url https://pypi.nvidia.comRE: Deoldify Vapoursynth filter - Dan64 - 26.03.2025
In my case the build was successful.
But I think that is necessary to have a proper development environment, like the one necessary to build "Pytorch-Correlation-extension".
Respect to my packages list below
tensorrt-10.9.0.34
tensorrt_cu12-10.9.0.34
tensorrt_cu12_libs-10.9.0.34
tensorrt_cu12_bindings-10.9.0.34
torch_tensorrt-2.7.0.dev20250316+cu128
torch-2.8.0.dev20250314+cu128
torchaudio-2.6.0.dev20250315+cu128
torchvision-0.22.0.dev20250315+cu128What is the list on your side ?
Dan
RE: Deoldify Vapoursynth filter - Selur - 26.03.2025
'pip list' returns
Package Version
--------------------------- ------------------------
addict 2.4.0
annotated-types 0.7.0
antlr4-python3-runtime 4.9.3
beautifulsoup4 4.13.3
blis 1.2.0
Bottleneck 1.4.2
catalogue 2.0.10
certifi 2025.1.31
charset-normalizer 3.4.1
click 8.1.8
cloudpathlib 0.21.0
colorama 0.4.6
confection 0.1.5
contourpy 1.3.1
cycler 0.12.1
cymem 2.0.11
dlib 19.24.6
einops 0.8.1
fastai 1.0.60
fastprogress 1.0.3
filelock 3.16.1
fonttools 4.56.0
fsspec 2024.10.0
huggingface-hub 0.29.3
idna 3.10
imageio 2.37.0
Jinja2 3.1.4
kiwisolver 1.4.8
kornia 0.8.0
kornia_rs 0.1.8
langcodes 3.5.0
language_data 1.3.0
lazy_loader 0.4
llvmlite 0.44.0
marisa-trie 1.2.1
markdown-it-py 3.0.0
MarkupSafe 2.1.5
matplotlib 3.10.1
mdurl 0.1.2
mmengine 0.10.7
mpmath 1.3.0
murmurhash 1.0.12
networkx 3.4.2
numba 0.61.0
numexpr 2.10.2
numpy 1.26.4
nvidia-cuda-runtime-cu12 12.8.90
nvidia-ml-py3 7.352.0
omegaconf 2.3.0
opencv-contrib-python 4.11.0.86
opencv-python 4.11.0.86
packaging 24.2
pandas 2.2.3
pillow 11.0.0
pip 25.0.1
platformdirs 4.3.7
positional-encodings 6.0.4
preshed 3.0.9
pydantic 2.10.6
pydantic_core 2.27.2
Pygments 2.19.1
pyparsing 3.2.3
python-dateutil 2.9.0.post0
pytz 2025.2
PyYAML 6.0.2
regex 2024.11.6
requests 2.32.3
rich 13.9.4
safetensors 0.5.3
scikit-image 0.25.2
scipy 1.15.2
setuptools 78.1.0
shellingham 1.5.4
six 1.17.0
smart-open 7.1.0
soupsieve 2.6
spacy 3.8.4
spacy-legacy 3.0.12
spacy-loggers 1.0.5
spatial_correlation_sampler 0.5.0
srsly 2.5.1
stgpytools 1.2.2
sympy 1.13.3
tensorrt 10.9.0.34
tensorrt_cu12 10.9.0.34
tensorrt_cu12_bindings 10.9.0.34
tensorrt_cu12_libs 10.9.0.34
termcolor 2.5.0
thinc 8.3.4
tifffile 2025.3.13
timm 1.0.15
torch 2.8.0.dev20250323+cu128
torch_tensorrt 2.7.0.dev20250325+cu128
torchvision 0.22.0.dev20250325+cu128
tqdm 4.67.1
typer 0.15.2
typing_extensions 4.12.2
tzdata 2025.2
urllib3 2.3.0
VapourSynth 70
vsanimesr 2.0.0
vsbasicvsrpp 3.0.0
vscodeformer 1.0.1
vsddcolor 1.0.1
vsdeoldify 5.0.4
vsdpir 4.3.0
vsfemasr 2.0.0
vsgan 1.6.4
vsgrlir 1.1.1
vshinet 1.0.0
vsmfdin 1.0.0
vspropainter 1.2.1
vsrealesrgan 5.2.1
vsrife 5.6.0
vsscunet 2.0.0
vsswinir 2.0.0
vstools 3.4.4
vsutil 0.8.0
wasabi 1.1.3
weasel 0.4.1
wheel 0.45.1
wrapt 1.17.2
yapf 0.43.0Cu Selur
Ps.: I created a thread where I listed the calls I instructions to build the VapoursynthR70_torch_2025.03.26 add-on.