Unexpectedly I had a few minutes time and I did the following:
which showed:
so far so good.
Then I called:
which should onyl remove fastai, but keep the dependencies.
That worked as expected.
I then extracted the contents of vsdeoldify-1.0.0.zip to
and the models to:
(Okay, I see why you didn't include those models.)
To test it, I did the following.
cd f:\Hybrid\64bit\Vapoursynth\
python -m pip install fastai==1.0.6Collecting fastai==1.0.60
Downloading fastai-1.0.60-py3-none-any.whl (237 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 237.3/237.3 kB 7.3 MB/s eta 0:00:00
Collecting bottleneck (from fastai==1.0.60)
Downloading Bottleneck-1.3.8-cp311-cp311-win_amd64.whl.metadata (8.1 kB)
Collecting fastprogress>=0.2.1 (from fastai==1.0.60)
Downloading fastprogress-1.0.3-py3-none-any.whl.metadata (5.6 kB)
Collecting beautifulsoup4 (from fastai==1.0.60)
Downloading beautifulsoup4-4.12.3-py3-none-any.whl.metadata (3.8 kB)
Requirement already satisfied: matplotlib in f:\hybrid\64bit\vapoursynth\lib\site-packages (from fastai==1.0.60) (3.7.1)Collecting numexpr (from fastai==1.0.60)
Downloading numexpr-2.9.0-cp311-cp311-win_amd64.whl.metadata (8.1 kB)
Requirement already satisfied: numpy>=1.15 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from fastai==1.0.60) (1.26.2)
Collecting nvidia-ml-py3 (from fastai==1.0.60)
Downloading nvidia-ml-py3-7.352.0.tar.gz (19 kB)
Preparing metadata (setup.py) ... done
Requirement already satisfied: pandas in f:\hybrid\64bit\vapoursynth\lib\site-packages (from fastai==1.0.60) (2.0.1)
Requirement already satisfied: packaging in f:\hybrid\64bit\vapoursynth\lib\site-packages (from fastai==1.0.60) (23.2)
Requirement already satisfied: Pillow in f:\hybrid\64bit\vapoursynth\lib\site-packages (from fastai==1.0.60) (9.5.0)
Requirement already satisfied: pyyaml in f:\hybrid\64bit\vapoursynth\lib\site-packages (from fastai==1.0.60) (6.0)
Requirement already satisfied: requests in f:\hybrid\64bit\vapoursynth\lib\site-packages (from fastai==1.0.60) (2.31.0)
Collecting scipy (from fastai==1.0.60)
Downloading scipy-1.12.0-cp311-cp311-win_amd64.whl.metadata (60 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 60.4/60.4 kB ? eta 0:00:00
Requirement already satisfied: torch>=1.0.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from fastai==1.0.60) (2.1.1+cu121)
Collecting spacy>=2.0.18 (from fastai==1.0.60)
Downloading spacy-3.7.4-cp311-cp311-win_amd64.whl.metadata (27 kB)
Requirement already satisfied: torchvision in f:\hybrid\64bit\vapoursynth\lib\site-packages (from fastai==1.0.60) (0.16.1)
Collecting spacy-legacy<3.1.0,>=3.0.11 (from spacy>=2.0.18->fastai==1.0.60)
Downloading spacy_legacy-3.0.12-py2.py3-none-any.whl.metadata (2.8 kB)
Collecting spacy-loggers<2.0.0,>=1.0.0 (from spacy>=2.0.18->fastai==1.0.60)
Downloading spacy_loggers-1.0.5-py3-none-any.whl.metadata (23 kB)
Collecting murmurhash<1.1.0,>=0.28.0 (from spacy>=2.0.18->fastai==1.0.60)
Downloading murmurhash-1.0.10-cp311-cp311-win_amd64.whl.metadata (2.0 kB)
Collecting cymem<2.1.0,>=2.0.2 (from spacy>=2.0.18->fastai==1.0.60)
Downloading cymem-2.0.8-cp311-cp311-win_amd64.whl.metadata (8.6 kB)
Collecting preshed<3.1.0,>=3.0.2 (from spacy>=2.0.18->fastai==1.0.60)
Downloading preshed-3.0.9-cp311-cp311-win_amd64.whl.metadata (2.2 kB)
Collecting thinc<8.3.0,>=8.2.2 (from spacy>=2.0.18->fastai==1.0.60)
Downloading thinc-8.2.3-cp311-cp311-win_amd64.whl.metadata (15 kB)
Collecting wasabi<1.2.0,>=0.9.1 (from spacy>=2.0.18->fastai==1.0.60)
Downloading wasabi-1.1.2-py3-none-any.whl.metadata (28 kB)
Collecting srsly<3.0.0,>=2.4.3 (from spacy>=2.0.18->fastai==1.0.60)
Downloading srsly-2.4.8-cp311-cp311-win_amd64.whl.metadata (20 kB)
Collecting catalogue<2.1.0,>=2.0.6 (from spacy>=2.0.18->fastai==1.0.60)
Downloading catalogue-2.0.10-py3-none-any.whl.metadata (14 kB)
Collecting weasel<0.4.0,>=0.1.0 (from spacy>=2.0.18->fastai==1.0.60)
Downloading weasel-0.3.4-py3-none-any.whl.metadata (4.7 kB)
Collecting typer<0.10.0,>=0.3.0 (from spacy>=2.0.18->fastai==1.0.60)
Downloading typer-0.9.0-py3-none-any.whl.metadata (14 kB)
Collecting smart-open<7.0.0,>=5.2.1 (from spacy>=2.0.18->fastai==1.0.60)
Downloading smart_open-6.4.0-py3-none-any.whl.metadata (21 kB)
Requirement already satisfied: tqdm<5.0.0,>=4.38.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from spacy>=2.0.18->fastai==1.0.60) (4.66.1)
Collecting pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4 (from spacy>=2.0.18->fastai==1.0.60)
Downloading pydantic-2.6.2-py3-none-any.whl.metadata (83 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 84.0/84.0 kB ? eta 0:00:00
Requirement already satisfied: jinja2 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from spacy>=2.0.18->fastai==1.0.60) (3.1.2)
Requirement already satisfied: setuptools in f:\hybrid\64bit\vapoursynth\lib\site-packages (from spacy>=2.0.18->fastai==1.0.60) (67.7.2)
Collecting langcodes<4.0.0,>=3.2.0 (from spacy>=2.0.18->fastai==1.0.60)
Downloading langcodes-3.3.0-py3-none-any.whl.metadata (29 kB)
Requirement already satisfied: charset-normalizer<4,>=2 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from requests->fastai==1.0.60) (3.1.0)
Requirement already satisfied: idna<4,>=2.5 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from requests->fastai==1.0.60) (3.4)
Requirement already satisfied: urllib3<3,>=1.21.1 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from requests->fastai==1.0.60) (2.0.2)
Requirement already satisfied: certifi>=2017.4.17 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from requests->fastai==1.0.60) (2023.5.7)
Requirement already satisfied: filelock in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch>=1.0.0->fastai==1.0.60) (3.12.0)
Requirement already satisfied: typing-extensions in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch>=1.0.0->fastai==1.0.60) (4.5.0)
Requirement already satisfied: sympy in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch>=1.0.0->fastai==1.0.60) (1.12)
Requirement already satisfied: networkx in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch>=1.0.0->fastai==1.0.60) (3.1)
Requirement already satisfied: fsspec in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch>=1.0.0->fastai==1.0.60) (2023.5.0)
Collecting soupsieve>1.2 (from beautifulsoup4->fastai==1.0.60)
Downloading soupsieve-2.5-py3-none-any.whl.metadata (4.7 kB)
Requirement already satisfied: contourpy>=1.0.1 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from matplotlib->fastai==1.0.60) (1.0.7)
Requirement already satisfied: cycler>=0.10 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from matplotlib->fastai==1.0.60) (0.11.0)
Requirement already satisfied: fonttools>=4.22.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from matplotlib->fastai==1.0.60) (4.39.4)
Requirement already satisfied: kiwisolver>=1.0.1 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from matplotlib->fastai==1.0.60) (1.4.4)
Requirement already satisfied: pyparsing>=2.3.1 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from matplotlib->fastai==1.0.60) (3.0.9)
Requirement already satisfied: python-dateutil>=2.7 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from matplotlib->fastai==1.0.60) (2.8.2)
Requirement already satisfied: pytz>=2020.1 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from pandas->fastai==1.0.60) (2023.3)
Requirement already satisfied: tzdata>=2022.1 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from pandas->fastai==1.0.60) (2023.3)
Collecting annotated-types>=0.4.0 (from pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4->spacy>=2.0.18->fastai==1.0.60)
Downloading annotated_types-0.6.0-py3-none-any.whl.metadata (12 kB)
Collecting pydantic-core==2.16.3 (from pydantic!=1.8,!=1.8.1,<3.0.0,>=1.7.4->spacy>=2.0.18->fastai==1.0.60)
Downloading pydantic_core-2.16.3-cp311-none-win_amd64.whl.metadata (6.6 kB)
Collecting typing-extensions (from torch>=1.0.0->fastai==1.0.60)
Downloading typing_extensions-4.10.0-py3-none-any.whl.metadata (3.0 kB)
Requirement already satisfied: six>=1.5 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from python-dateutil>=2.7->matplotlib->fastai==1.0.60) (1.16.0)
Collecting blis<0.8.0,>=0.7.8 (from thinc<8.3.0,>=8.2.2->spacy>=2.0.18->fastai==1.0.60)
Downloading blis-0.7.11-cp311-cp311-win_amd64.whl.metadata (7.6 kB)
Collecting confection<1.0.0,>=0.0.1 (from thinc<8.3.0,>=8.2.2->spacy>=2.0.18->fastai==1.0.60)
Downloading confection-0.1.4-py3-none-any.whl.metadata (19 kB)
Requirement already satisfied: colorama in f:\hybrid\64bit\vapoursynth\lib\site-packages (from tqdm<5.0.0,>=4.38.0->spacy>=2.0.18->fastai==1.0.60) (0.4.6)
Requirement already satisfied: click<9.0.0,>=7.1.1 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from typer<0.10.0,>=0.3.0->spacy>=2.0.18->fastai==1.0.60) (8.1.3)
Collecting cloudpathlib<0.17.0,>=0.7.0 (from weasel<0.4.0,>=0.1.0->spacy>=2.0.18->fastai==1.0.60)
Downloading cloudpathlib-0.16.0-py3-none-any.whl.metadata (14 kB)
Requirement already satisfied: MarkupSafe>=2.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from jinja2->spacy>=2.0.18->fastai==1.0.60) (2.1.2)
Requirement already satisfied: mpmath>=0.19 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from sympy->torch>=1.0.0->fastai==1.0.60) (1.3.0)
Downloading fastprogress-1.0.3-py3-none-any.whl (12 kB)
Downloading spacy-3.7.4-cp311-cp311-win_amd64.whl (12.1 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.1/12.1 MB 12.8 MB/s eta 0:00:00
Downloading beautifulsoup4-4.12.3-py3-none-any.whl (147 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 147.9/147.9 kB 9.2 MB/s eta 0:00:00
Downloading Bottleneck-1.3.8-cp311-cp311-win_amd64.whl (110 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 110.1/110.1 kB 6.2 MB/s eta 0:00:00
Downloading numexpr-2.9.0-cp311-cp311-win_amd64.whl (96 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 96.6/96.6 kB ? eta 0:00:00
Downloading scipy-1.12.0-cp311-cp311-win_amd64.whl (46.2 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 46.2/46.2 MB 12.6 MB/s eta 0:00:00
Downloading catalogue-2.0.10-py3-none-any.whl (17 kB) MB 13.4 MB/s eta 0:00:01
Downloading cymem-2.0.8-cp311-cp311-win_amd64.whl (39 kB)
Downloading langcodes-3.3.0-py3-none-any.whl (181 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 181.6/181.6 kB 10.7 MB/s eta 0:00:00
Downloading murmurhash-1.0.10-cp311-cp311-win_amd64.whl (25 kB)
Downloading preshed-3.0.9-cp311-cp311-win_amd64.whl (122 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 122.3/122.3 kB 7.5 MB/s eta 0:00:00
Downloading pydantic-2.6.2-py3-none-any.whl (394 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 394.9/394.9 kB 12.4 MB/s eta 0:00:00
Downloading pydantic_core-2.16.3-cp311-none-win_amd64.whl (1.9 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.9/1.9 MB 13.3 MB/s eta 0:00:00
Downloading smart_open-6.4.0-py3-none-any.whl (57 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 57.0/57.0 kB ? eta 0:00:00
Downloading soupsieve-2.5-py3-none-any.whl (36 kB)
Downloading spacy_legacy-3.0.12-py2.py3-none-any.whl (29 kB)
Downloading spacy_loggers-1.0.5-py3-none-any.whl (22 kB)
Downloading srsly-2.4.8-cp311-cp311-win_amd64.whl (479 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 479.7/479.7 kB 10.0 MB/s eta 0:00:00
Downloading thinc-8.2.3-cp311-cp311-win_amd64.whl (1.5 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.5/1.5 MB 13.4 MB/s eta 0:00:00
Downloading typer-0.9.0-py3-none-any.whl (45 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 45.9/45.9 kB 2.2 MB/s eta 0:00:00
Downloading typing_extensions-4.10.0-py3-none-any.whl (33 kB)
Downloading wasabi-1.1.2-py3-none-any.whl (27 kB)
Downloading weasel-0.3.4-py3-none-any.whl (50 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.1/50.1 kB ? eta 0:00:00
Downloading blis-0.7.11-cp311-cp311-win_amd64.whl (6.6 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.6/6.6 MB 13.2 MB/s eta 0:00:00
Downloading cloudpathlib-0.16.0-py3-none-any.whl (45 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 45.0/45.0 kB ? eta 0:00:00
Downloading confection-0.1.4-py3-none-any.whl (35 kB)
Building wheels for collected packages: nvidia-ml-py3
Building wheel for nvidia-ml-py3 (setup.py) ... done
Created wheel for nvidia-ml-py3: filename=nvidia_ml_py3-7.352.0-py3-none-any.whl size=19182 sha256=9c0934880d851ead2bb487650b7f4bbcac8ef648cee672b45055e31f280d8488
Stored in directory: c:\users\selur\appdata\local\pip\cache\wheels\47\50\9e\29dc79037d74c3c1bb4a8661fb608e8674b7e4260d6a3f8f51
Successfully built nvidia-ml-py3
Installing collected packages: nvidia-ml-py3, cymem, wasabi, typing-extensions, spacy-loggers, spacy-legacy, soupsieve, smart-open, scipy, numexpr, murmurhash, langcodes, fastprogress, cloudpathlib, catalogue, bottleneck, blis, annotated-types, typer, srsly, pydantic-core, preshed, beautifulsoup4, pydantic, confection, weasel, thinc, spacy, fastai
Attempting uninstall: typing-extensions
Found existing installation: typing_extensions 4.5.0
Uninstalling typing_extensions-4.5.0:
Successfully uninstalled typing_extensions-4.5.0
WARNING: The script weasel.exe is installed in 'F:\Hybrid\64bit\Vapoursynth\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
WARNING: The script spacy.exe is installed in 'F:\Hybrid\64bit\Vapoursynth\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
Successfully installed annotated-types-0.6.0 beautifulsoup4-4.12.3 blis-0.7.11 bottleneck-1.3.8 catalogue-2.0.10 cloudpathlib-0.16.0 confection-0.1.4 cymem-2.0.8 fastai-1.0.60 fastprogress-1.0.3 langcodes-3.3.0 murmurhash-1.0.10 numexpr-2.9.0 nvidia-ml-py3-7.352.0 preshed-3.0.9 pydantic-2.6.2 pydantic-core-2.16.3 scipy-1.12.0 smart-open-6.4.0 soupsieve-2.5 spacy-3.7.4 spacy-legacy-3.0.12 spacy-loggers-1.0.5 srsly-2.4.8 thinc-8.2.3 typer-0.9.0 typing-extensions-4.10.0 wasabi-1.1.2 weasel-0.3.4Then I called:
python -m pip uninstall fastai==1.0.6Found existing installation: fastai 1.0.60
Uninstalling fastai-1.0.60:
Would remove:
f:\hybrid\64bit\vapoursynth\lib\site-packages\fastai-1.0.60.dist-info\*
f:\hybrid\64bit\vapoursynth\lib\site-packages\fastai\*
Proceed (Y/n)? Y
Successfully uninstalled fastai-1.0.60I then extracted the contents of vsdeoldify-1.0.0.zip to
f:\hybrid\64bit\vapoursynth\lib\site-packagesf:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\modelsTo test it, I did the following.
- start Hybrid
- load a source
- enabled 'Filtering->Vapoursynth->Color->Basic->Tweak' and set 'Saturation' to 0.
- I then set 'Filtering->Vapoursynth->Custim->Insert before' to 'Grayworld', enabled the edit section and for quick test entered:
when pressing the preview, this triggered, my firewall to popup,...clip = core.resize.Bicubic(clip=clip, format=vs.RGB24, matrix_in_s="470bg", range_s="limited")
from vsdeoldify import ddeoldify
clip = ddeoldify(clip, model=0, render_factor=21)
clip = core.resize.Bicubic(clip=clip, format=vs.YUV420P8, matrix_s="470bg", range_s="limited")
Allowing the download gave:
Downloading: "https://download.pytorch.org/models/resnet101-63fe2227.pth" to C:\Users\Selur/.cache\torch\hub\checkpoints\resnet101-63fe2227.pth
Downloading: "https://download.pytorch.org/models/resnet101-63fe2227.pth" to C:\Users\Selur/.cache\torch\hub\checkpoints\resnet101-63fe2227.pth
0%| | 0.00/171M [00:00
1%| | 1.20M/171M [00:00
1%|▏ | 2.48M/171M [00:00
2%|▏ | 3.73M/171M [00:00
3%|▎ | 5.00M/171M [00:00
4%|▎ | 6.25M/171M [00:00
4%|▍ | 7.52M/171M [00:00
5%|▌ | 8.78M/171M [00:00
6%|▌ | 10.0M/171M [00:00
7%|▋ | 11.3M/171M [00:00
7%|▋ | 12.6M/171M [00:01
8%|▊ | 13.8M/171M [00:01
9%|▉ | 15.1M/171M [00:01
10%|▉ | 16.3M/171M [00:01
10%|█ | 17.6M/171M [00:01
11%|█ | 18.9M/171M [00:01
12%|█▏ | 20.1M/171M [00:01
13%|█▎ | 21.4M/171M [00:01
13%|█▎ | 22.7M/171M [00:01
14%|█▍ | 23.9M/171M [00:01
15%|█▍ | 25.2M/171M [00:02
16%|█▌ | 26.5M/171M [00:02
16%|█▋ | 27.7M/171M [00:02
17%|█▋ | 29.0M/171M [00:02
18%|█▊ | 30.3M/171M [00:02
18%|█▊ | 31.5M/171M [00:02
19%|█▉ | 32.8M/171M [00:02
20%|█▉ | 34.1M/171M [00:02
21%|██ | 35.4M/171M [00:02
21%|██▏ | 36.6M/171M [00:02
22%|██▏ | 37.9M/171M [00:03
23%|██▎ | 39.1M/171M [00:03
24%|██▎ | 40.4M/171M [00:03
24%|██▍ | 41.7M/171M [00:03
25%|██▌ | 42.9M/171M [00:03
26%|██▌ | 44.2M/171M [00:03
27%|██▋ | 45.5M/171M [00:03
27%|██▋ | 46.7M/171M [00:03
28%|██▊ | 48.0M/171M [00:03
29%|██▉ | 49.3M/171M [00:03
30%|██▉ | 50.5M/171M [00:04
30%|███ | 51.8M/171M [00:04
31%|███ | 53.1M/171M [00:04
32%|███▏ | 54.3M/171M [00:04
33%|███▎ | 55.6M/171M [00:04
33%|███▎ | 56.9M/171M [00:04
34%|███▍ | 58.1M/171M [00:04
35%|███▍ | 59.4M/171M [00:04
36%|███▌ | 60.7M/171M [00:04
36%|███▋ | 61.9M/171M [00:04
37%|███▋ | 63.2M/171M [00:05
38%|███▊ | 64.4M/171M [00:05
39%|███▊ | 65.7M/171M [00:05
39%|███▉ | 67.0M/171M [00:05
40%|████ | 68.2M/171M [00:05
41%|████ | 69.5M/171M [00:05
42%|████▏ | 70.8M/171M [00:05
42%|████▏ | 72.0M/171M [00:05
43%|████▎ | 73.3M/171M [00:05
44%|████▎ | 74.6M/171M [00:05
44%|████▍ | 75.8M/171M [00:06
45%|████▌ | 77.1M/171M [00:06
46%|████▌ | 78.4M/171M [00:06
47%|████▋ | 79.6M/171M [00:06
47%|████▋ | 80.9M/171M [00:06
48%|████▊ | 82.2M/171M [00:06
49%|████▉ | 83.4M/171M [00:06
50%|████▉ | 84.7M/171M [00:06
50%|█████ | 86.0M/171M [00:06
51%|█████ | 87.2M/171M [00:06
52%|█████▏ | 88.5M/171M [00:07
53%|█████▎ | 89.8M/171M [00:07
53%|█████▎ | 91.0M/171M [00:07
54%|█████▍ | 92.3M/171M [00:07
55%|█████▍ | 93.6M/171M [00:07
56%|█████▌ | 94.8M/171M [00:07
56%|█████▋ | 96.1M/171M [00:07
57%|█████▋ | 97.4M/171M [00:07
58%|█████▊ | 98.6M/171M [00:07
59%|█████▊ | 99.9M/171M [00:07
59%|█████▉ | 101M/171M [00:08
60%|██████ | 102M/171M [00:08
61%|██████ | 104M/171M [00:08
62%|██████▏ | 105M/171M [00:08
62%|██████▏ | 106M/171M [00:08
63%|██████▎ | 107M/171M [00:08
64%|██████▍ | 109M/171M [00:08
65%|██████▍ | 110M/171M [00:08
65%|██████▌ | 111M/171M [00:08
66%|██████▌ | 113M/171M [00:08
67%|██████▋ | 114M/171M [00:09
67%|██████▋ | 115M/171M [00:09
68%|██████▊ | 116M/171M [00:09
69%|██████▉ | 118M/171M [00:09
70%|██████▉ | 119M/171M [00:09
70%|███████ | 120M/171M [00:09
71%|███████ | 121M/171M [00:09
72%|███████▏ | 123M/171M [00:09
73%|███████▎ | 124M/171M [00:09
73%|███████▎ | 125M/171M [00:09
74%|███████▍ | 126M/171M [00:10
75%|███████▍ | 128M/171M [00:10
76%|███████▌ | 129M/171M [00:10
76%|███████▋ | 130M/171M [00:10
77%|███████▋ | 132M/171M [00:10
78%|███████▊ | 133M/171M [00:10
79%|███████▊ | 134M/171M [00:10
79%|███████▉ | 135M/171M [00:10
80%|████████ | 137M/171M [00:11
81%|████████ | 138M/171M [00:11
82%|████████▏ | 139M/171M [00:11
82%|████████▏ | 140M/171M [00:11
83%|████████▎ | 142M/171M [00:11
84%|████████▍ | 143M/171M [00:11
85%|████████▍ | 144M/171M [00:11
85%|████████▌ | 145M/171M [00:11
86%|████████▌ | 147M/171M [00:11
87%|████████▋ | 148M/171M [00:11
88%|████████▊ | 149M/171M [00:12
88%|████████▊ | 150M/171M [00:12
89%|████████▉ | 152M/171M [00:12
90%|████████▉ | 153M/171M [00:12
90%|█████████ | 154M/171M [00:12
91%|█████████ | 156M/171M [00:12
92%|█████████▏| 157M/171M [00:12
93%|█████████▎| 158M/171M [00:12
93%|█████████▎| 159M/171M [00:12
94%|█████████▍| 161M/171M [00:12
95%|█████████▍| 162M/171M [00:13
96%|█████████▌| 163M/171M [00:13
96%|█████████▋| 164M/171M [00:13
97%|█████████▋| 166M/171M [00:13
98%|█████████▊| 167M/171M [00:13
99%|█████████▊| 168M/171M [00:13
99%|█████████▉| 169M/171M [00:13
100%|██████████| 171M/171M [00:13![[Image: grafik.png]](https://i.ibb.co/P91QLsc/grafik.png)
=> seems to work (~5.4GB VRAM used)
Increasing the render_factor to 40 roughly doubled the VRAM usage.
Using a 4k source didn't really increase the VRAM usage, a lot. (maybe 20-25%)
![[Image: grafik.png]](https://i.ibb.co/Wx2961Z/grafik.png)
(yes, deoldify isn't good with nature.
)
I then threw some 1080p content at it
![[Image: grafik.png]](https://i.ibb.co/P5QR9pQ/grafik.png)
(again, not suited for natur content)
![[Image: grafik.png]](https://i.ibb.co/5FgCxNv/grafik.png)
on the last I also used ddColor for comparison:
![[Image: grafik.png]](https://i.ibb.co/87zhpvQ/grafik.png)
So conclusion: It's slow, but working.
Also found a bug in my code regarding handling of custom sections.
Cu Selur
----
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.