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Package Details: vapoursynth-plugin-vsdpir-git 2.3.0.0.gb2dcc4b-1

Package Actions

Git Clone URL:	https://aur.archlinux.org/vapoursynth-plugin-vsdpir-git.git (read-only, click to copy)
Package Base:	vapoursynth-plugin-vsdpir-git
Description:	Plugin for Vapoursynth: vsdpir (GIT version)
Upstream URL:	https://github.com/HolyWu/vs-dpir
Keywords:	vapoursynth
Licenses:	MIT
Conflicts:	vapoursynth-plugin-vsdpir
Provides:	vapoursynth-plugin-vsdpir
Submitter:	sl1pkn07
Maintainer:	sl1pkn07
Last Packager:	sl1pkn07
Votes:	0
Popularity:	0.000000
First Submitted:	2021-10-10 05:21 (UTC)
Last Updated:	2023-02-01 20:38 (UTC)

Dependencies (9)

python-numpy (python-numpy-flame^AUR, python-numpy-mkl-bin^AUR, python-numpy-git^AUR, python-numpy-mkl^AUR)
python-requests
python-tqdm
vapoursynth-plugin-vsutil-git^AUR
git (git-git^AUR) (make)
python-pip (make)
python-onnxruntime (python-onnxruntime-opt, python-onnxruntime-opt-rocm, python-onnxruntime-rocm) (optional) – ONNXRuntime support
python-pytorch (python-pytorch-mkl-git^AUR, python-pytorch-cuda-git^AUR, python-pytorch-mkl-cuda-git^AUR, python-pytorch-cxx11abi^AUR, python-pytorch-cxx11abi-opt^AUR, python-pytorch-cxx11abi-cuda^AUR, python-pytorch-cxx11abi-opt-cuda^AUR, python-pytorch-cxx11abi-rocm^AUR, python-pytorch-cxx11abi-opt-rocm^AUR, python-pytorch-cuda, python-pytorch-opt, python-pytorch-opt-cuda, python-pytorch-opt-rocm, python-pytorch-rocm) (optional) – pytorch CPU with AVX2 optimizations
python-pytorch-cuda (python-pytorch-mkl-cuda-git^AUR, python-pytorch-cxx11abi-opt-cuda^AUR, python-pytorch-opt-cuda) (optional) – pytorch CUDA with CPU with AVX2 optimizations

Required by (0)

Sources (1)

vsdpir

Latest Comments

damian101 commented on 2024-01-24 21:24 (UTC)

This is currently incompatible with tensorrt 9.

damian101 commented on 2024-01-24 18:04 (UTC)

Dependencies python-pytorch-tensorrt python-tensorflow are missing.

dreieck commented on 2023-02-14 19:39 (UTC)

Ahoj,

thanks for this package!

Would it be possible to move the download of the big files, which get downloaded in prepare(), into the source array?

That would allow for resume of interruptions.

==> Starting prepare()...
drunet_color.pth:  70%|█████████████████████████████████████████████████████████████████████▌                              | 86.6M/125M [02:31<00:49, 804kB/s]
[...]

Regards!