vs-nlm-hip
Non-local means denoise filter in HIP, drop-in replacement of the KNLMeansCL for VapourSynth
Usage
Prototype:
core.nlm_hip.NLMeans(clip clip[, int d = 1, int a = 2, int s = 4, float h = 1.2, string channels = "AUTO", int wmode = 0, float wref = 1.0, clip rclip = None, int device_id = 0, int num_streams = 1])
Installation
PyPi package
pip install vapoursynth-nlm-hip
AUR package
yay -S vapoursynth-plugin-nlm-hip-git
Manual Compilation
CMAKE_PREFIX_PATH=/opt/rocm \
CXX=/opt/rocm/llvm/bin/clang++ \
cmake -B build -S . -DCMAKE_BUILD_TYPE=Release
cmake --build build
cmake --install build
1 maintainer
Metadata
1 maintainer
Release files for vapoursynth-nlm-hip 2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vapoursynth_nlm_hip-2-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details |
| vapoursynth_nlm_hip-2-py3-none-manylinux_2_39_x86_64.whl | Python 3 | none | Linux glibc 2.39+ x86-64 | Details |
Total release size: 21.0 MB
Release files / vapoursynth_nlm_hip-2-py3-none-win_amd64.whl
| Download URL | vapoursynth_nlm_hip-2-py3-none-win_amd64.whl |
|---|---|
| Size | 5.9 MB |
| Tags | Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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Transparency logRelease files / vapoursynth_nlm_hip-2-py3-none-manylinux_2_39_x86_64.whl
| Download URL | vapoursynth_nlm_hip-2-py3-none-manylinux_2_39_x86_64.whl |
|---|---|
| Size | 15.1 MB |
| Tags | Linux glibc 2.39+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
733c83446144aad82496c3f5a221ac6865634f10d4edf672b98284725f36ae07
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BLAKE2b-256 checksum How to use checksums |
1e201272e4ea08c49707b56f5cfacd3a8a8003c828472bcbb197c8001a3ddbfc
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 15, 2026.
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