This is but a minimalist version of rife-ncnn-vulkan with updated models for my script. it will contain the latest models + rife4.6 for speedy inference, head to releases to download the wheels. Windows only cuz I cba to figure out why Mac and Linux won't build.
Credit to the creators and maintainers
Install through pypi
pip install rife-ncnn-vulkan-python-TAS
Introduction
rife-ncnn-vulkan is nihui's ncnn implementation of Real-Time Intermediate Flow Estimation for Video Frame Interpolation.
rife-ncnn-vulkan-python wraps rife-ncnn-vulkan project by SWIG to make it easier to integrate rife-ncnn-vulkan with existing python projects.
Original RIFE Project
Other Open-Source Code Used
- https://github.com/Tencent/ncnn for fast neural network inference on ALL PLATFORMS
- https://github.com/webmproject/libwebp for encoding and decoding Webp images on ALL PLATFORMS
- https://github.com/nothings/stb for decoding and encoding image on Linux / MacOS
- https://github.com/tronkko/dirent for listing files in directory on Windows
- https://github.com/nihui/rife-ncnn-vulkan the original rife-ncnn-vulkan project
1 maintainer
Metadata
1 maintainer
Release files for rife-ncnn-vulkan-python-TAS 2.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| rife-ncnn-vulkan-python-TAS-2.0.6.tar.gz | 23.6 MB | Without provenance | Details |
Release files / rife-ncnn-vulkan-python-TAS-2.0.6.tar.gz
| Download URL | rife-ncnn-vulkan-python-TAS-2.0.6.tar.gz |
|---|---|
| Size | 23.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
bb9f16cdcc23d19234735174fea1a62e47e5b409a783a7807db3f448840e571f
|
|
BLAKE2b-256 checksum How to use checksums |
428ac20992007b265816374cf696ef2700c5ff960655c0f1f30480d8d3e80cc6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.7
|
Security for rife-ncnn-vulkan-python-TAS 2.0.6
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
