Selur's Little Message Board

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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

Released new version v5.0.4

This is a maintenance release.

As usual it can be installed with the command

Code:
.\python -m pip install https://github.com/dan64/vs-deoldify/releases/download/v5.0.4/vsdeoldify-5.0.4-py3-none-any.whl

This 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

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)

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)

Code:
TORCH_CUDA_ARCH_LIST=8.0 8.6 9.0 12.0

I 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

In the other thread you mentioned that you installed:

Code:
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+cu128

How? Using:

Code:
python -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/cu128

works fine, but:

Code:
python -m pip install tensorrt==10.9.0.34

fails here.
steps I did: https://pastebin.com/MgpZtW0F
Cu Selur

To install tensorrt I used the following command

Code:
.\python -m pip install --pre torch-tensorrt --index-url https://download.pytorch.org/whl/nightly/cu128

But the nightly version can change every day. To download a specific version you can use the command

Code:
.\python -m pip install https://download.pytorch.org/whl/nightly/cu128/torch_tensorrt-2.7.0.dev20250316%2Bcu128-cp312-cp312-win_amd64.whl

EDIT: before updating torch_tensorrt I run also the command

Code:
.\python -m pip install --upgrade torch-tensorrt

but I was not happy with the the torch-tensorrt version installed and then I run the command

Code:
.\python -m pip install https://download.pytorch.org/whl/nightly/cu128/torch_tensorrt-2.7.0.dev20250316%2Bcu128-cp312-cp312-win_amd64.whl

Dan

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,

Code:
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:

Code:
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.com

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

Code:
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+cu128

What is the list on your side ?

Dan

'pip list' returns

Code:
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                        0.43.0

Cu Selur

Ps.: I created a thread where I listed the calls I instructions to build the VapoursynthR70_torch_2025.03.26 add-on.

Could you build and share a spatial_correlation_sampler-0.5.0 for :

Code:
Package                  Version
------------------------ ------------
addict                   2.4.0
annotated-types          0.7.0
antlr4-python3-runtime   4.9.3
beautifulsoup4           4.13.4
blis                     1.3.0
Bottleneck               1.5.0
catalogue                2.0.10
certifi                  2025.4.26
charset-normalizer       3.4.2
click                    8.2.1
cloudpathlib             0.21.1
colorama                 0.4.6
confection               0.1.5
contourpy                1.3.2
cycler                   0.12.1
cymem                    2.0.11
dlib                     20.0.0
einops                   0.8.1
fastai                   1.0.60
fastprogress             1.0.3
filelock                 3.13.1
fonttools                4.58.1
fsspec                   2024.6.1
huggingface-hub          0.32.4
idna                     3.10
imageio                  2.37.0
Jinja2                   3.1.4
kiwisolver               1.4.8
kornia                   0.8.1
kornia_rs                0.1.9
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               3.10.3
mdurl                    0.1.2
mmengine                 0.10.7
mpmath                   1.3.0
murmurhash               1.0.13
networkx                 3.3
numba                    0.61.2
numexpr                  2.10.2
numpy                    2.2.6
nvidia-cuda-runtime-cu12 12.9.79
nvidia-ml-py3            7.352.0
omegaconf                2.3.0
opencv-python            4.11.0.86
packaging                25.0
pandas                   2.3.0
pillow                   11.0.0
pip                      25.1.1
platformdirs             4.3.8
preshed                  3.0.10
pydantic                 2.11.5
pydantic_core            2.33.2
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                     14.0.0
safetensors              0.5.3
scikit-image             0.25.2
scipy                    1.15.3
setuptools               80.9.0
shellingham              1.5.4
six                      1.17.0
smart-open               7.1.0
soupsieve                2.7
spacy                    3.8.7
spacy-legacy             3.0.12
spacy-loggers            1.0.5
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                3.1.0
thinc                    8.3.6
tifffile                 2025.6.1
timm                     1.0.15
torch                    2.7.1+cu126
torch_tensorrt           2.7.0+cu126
torchvision              0.22.1+cu126
tqdm                     4.67.1
typer                    0.16.0
typing_extensions        4.12.2
typing-inspection        0.4.1
tzdata                   2025.2
urllib3                  2.4.0
VapourSynth              72
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                     0.43.0

Cu Selur

Dan64

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