RIFE function for VapourSynth
Project description
RIFE
Real-Time Intermediate Flow Estimation for Video Frame Interpolation, based on https://github.com/hzwer/Practical-RIFE.
Dependencies
- PyTorch 2.6.0 or later
- VapourSynth R66 or later
- vs-miscfilters-obsolete (only needed for scene change detection)
trt
requires additional packages:
- TensorRT 10.7.0.post1 or later
- Torch-TensorRT 2.6.0 or later
To install the latest stable version of PyTorch and Torch-TensorRT, run:
pip install -U packaging setuptools wheel
pip install -U torch torchvision --index-url https://download.pytorch.org/whl/cu126
pip install --no-deps -U torch_tensorrt --index-url https://download.pytorch.org/whl/cu126
pip install -U tensorrt --extra-index-url https://pypi.nvidia.com
Installation
pip install -U vsrife
If you want to download all models at once, run python -m vsrife
. If you prefer to only download the model you
specified at first run, set auto_download=True
in rife()
.
Usage
from vsrife import rife
ret = rife(clip)
See __init__.py
for the description of the parameters.
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