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vs-femasr
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FeMaSR function for VapourSynth
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vs-femasr
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# FeMaSR Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors, based on https://github.com/chaofengc/FeMaSR. ## Dependencies - [PyTorch](https://pytorch.org/get-started/) 2.4.0.dev or later - [VapourSynth](http://www.vapoursynth.com/) R66 or later `trt` requires additional Python packages: - [TensorRT](https://developer.nvidia.com/tensorrt/) 10.0.1 - [Torch-TensorRT](https://pytorch.org/TensorRT/) 2.4.0.dev To install TensorRT, run `pip install tensorrt==10.0.1 tensorrt-cu12_bindings==10.0.1 tensorrt-cu12_libs==10.0.1 --extra-index-url https://pypi.nvidia.com` To install Torch-TensorRT, Windows users can pip install the whl file on [Releases](https://github.com/HolyWu/vs-femasr/releases). Linux users can run `pip install --pre torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu124` (requires PyTorch nightly build). ## Installation ``` pip install -U vsfemasr python -m vsfemasr ``` ## Usage ```python from vsfemasr import femasr ret = femasr(clip) ``` See `__init__.py` for the description of the parameters.
