A Python FFI of nihui/rife-ncnn-vulkan achieved with SWIG
Project description
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
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