feat: add some C++ vs plugins

[Tohrusky]

Summary by Sourcery

Build:

• Add libtbb-dev to the apt install list.

[sourcery-ai]

Reviewer's Guide by Sourcery

This pull request adds several new VapourSynth C++ plugins to the Dockerfile, including those from HomeOfAviSynthPlusEvolution, Irrational-Encoding-Wizardry, dubhater, and TensoRaws. It also updates the list of installed plugins in the README.md file.

Class diagram showing plugin organization

classDiagram
    class VapourSynth {
        +load_plugin()
    }

    class HomeOfAviSynthPlusEvolution {
        +neo_FFT3D
        +neo_DFTTest
        +neo_f3kdb
    }

    class IrrationalEncodingWizardry {
        +RemapFrames
    }

    class Dubhater {
        +flux
        +nnedi3
        +tedgemask
        +sangnom
    }

    class TensoRaws {
        +descale
        +hqdn3d
        +d2vsource
        +znedi3
        +placebo
    }

    VapourSynth <|-- HomeOfAviSynthPlusEvolution
    VapourSynth <|-- IrrationalEncodingWizardry
    VapourSynth <|-- Dubhater
    VapourSynth <|-- TensoRaws

    note for VapourSynth "Core system that loads plugins"
    note for HomeOfAviSynthPlusEvolution "Frequency domain filters"
    note for TensoRaws "Video processing plugins"

Loading

File-Level Changes

Change	Details	Files
Added several new VapourSynth C++ plugins.	Added vs-removegrain plugin. Added neo_FFT3D, neo_DFTTest, and neo_f3kdb plugins. Added RemapFrames plugin. Added flux, nnedi3, tedgemask, and sangnom plugins. Added descale, hqdn3d, d2vsource, znedi3, and vs-placebo plugins. Added nlm_cuda plugin.	vs-pytorch.dockerfile vs-pytorch-rocm.dockerfile
Updated the README.md file to include the newly added plugins.	Added a list of VapourSynth Python plugins. Added the newly added C++ plugins to the VapourSynth C++ Plugin List.	README.md

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[sourcery-ai]

Hey @Tohrusky - I've reviewed your changes and they look great!

Here's what I looked at during the review

• 🟡 General issues: 1 issue found
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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[sourcery-ai]

suggestion: Make CUDA architectures configurable via build arg

Consider using a Docker build argument to allow customization of target CUDA architectures without modifying the Dockerfile.

Suggested implementation:

# Define build argument for CUDA architectures with a default value
ARG CUDA_ARCHITECTURES="50;52-real;60;61-real;70;75-real;80;86-real;89-real;90-real"

# nlm_cuda
RUN git clone https://github.com/AmusementClub/vs-nlm-cuda && cd vs-nlm-cuda && \

    -D CMAKE_CUDA_ARCHITECTURES="${CUDA_ARCHITECTURES}" && \