vs-dfft
Collection of Discrete/Fast Fourier Transform VapourSynth functions
How to use
from vsdfft import FFTSpectrum
src = ...
spectrum = FFTSpectrum(src)
You can install CuPy if you have an nvidia GPU to have a 5x speedup.
How to install
Install vsdfft with the following command:
pip install vsdfft
Or if you want the latest git version, install it with this command:
pip install git+https://github.com/Jaded-Encoding-Thaumaturgy/vs-dfft.git
1 maintainer
Metadata
1 maintainer
Release files for vsdfft 1.1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| vsdfft-1.1.2.tar.gz | 5.0 kB | Without provenance | Details for vsdfft-1.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| vsdfft-1.1.2-py3-none-any.whl | Python 3 | none | any | Details for vsdfft-1.1.2-py3-none-any.whl |
Total release size: 10.5 kB
Release files / vsdfft-1.1.2.tar.gz
| Download URL | vsdfft-1.1.2.tar.gz |
|---|---|
| Size | 5.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / vsdfft-1.1.2-py3-none-any.whl
| Download URL | vsdfft-1.1.2-py3-none-any.whl |
|---|---|
| Size | 5.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.9.19
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Security for vsdfft 1.1.2
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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